1 MOLECULES CRAFTED TO SPY ON CELLS AND TUMORS
Roger Y. Tsien1 1University of California, San Diego, Pharmacology, School of Medicine, La Jolla, California
Genetically encoded tags and indicators are molecular spies that reveal specific gene products and biochemical processes in living cells and organisms. Fluorescent proteins from jellyfish and corals have been bred to eliminate multimerization and cover the entire visible spectrum. Somatic hypermutation in B lymphoma cells harnesses the immune system to produce a powerful new way to evolve protein properties. Indicators constructed from fluorescent proteins can report local dynamic signals such as redox potential, neurotransmitter concentrations, protein-protein interactions, and kinase vs. phosphatase activities. Although fluorescent proteins are powerful tools, they cannot be reduced below ~220 amino acids, and their only useful readout is fluorescence. Much shorter peptide sequences combine genetic encoding with the greater range of spectroscopic properties available by organic synthesis. Tetracysteine motifs of 6-12 amino acids can be labeled in live cells with membrane-permeant biarsenical dyes. Unique applications include green vs. red pulse-chase labeling of old vs. new copies of the same protein, electron-microscopic localization, chromophore-assisted light inactivation of a chosen protein without the problems of antibody penetration, and measurement of local Ca2+ within nanometers of proteins such as Ca2+ channels. For clinical applications one would prefer not to have to introduce genes or be limited to optical detection. Arginine-rich sequences are known to mediate uptake of a wide variety of contrast agents into cells and tissues in vivo. We find that such uptake can be prevented by appending certain polyanionic sequences and selectively re-activated by cleavage of the linker. This new mechanism offers the exciting possibility that radioactive, magnetic, and infrared contrast agents and therapeutic drugs may be concentrated in diseased tissues expressing particular extracellular proteases.
2 SINGLE CELL KINASE SIGNALING FOR MECHANISTIC AND CLINICAL ANALYSES
Garry P. Nolan1 1Stanford University, Microbiology and Immunology, School of Medicine, Stanford, California
Intracellular assays of signaling systems has been limited by an inability to correlate functional subsets of cells in complex populations based on active kinase states or other nodal signaling junctions. Such correlations could be important to distinguish changes in signaling status that arise in rare cell subsets during functional activation or in disease manifestation. Simultaneous detection of activated kinases and phosphoproteins in simultaneous pathways in subpopulations of complex cell populations by multi-parameter flow cytometric analysis allows identification of signaling cascades for disease states by ordering of kinase activation and phosphoprotein status in signaling hierarchies. Importantly, we demonstrate that ordering of these activations requires multiple interrogations of cells, and that the networks discovered are reflective of deeper correlations. Using Bayesian Network analysis (a form of machine learning) one can infer pathway connectivity in an automated fashion, allowing for high throughput derivations of signaling system networks graphs in PRIMARY CELLS. Notably, when kinase inhibitors, previously selected in in vitro assays are tested on complex cell populations, single cell analysis of signaling states reveals shocking differences in the inhibition of kinase activity in different cell subsets that will be discussed. The approach has powerful applications in mechanistic understanding, drug screening, and patient stratification for prediction of disease outcome in cancer, autoimmunity, infection, based on signaling network status. (1) Irish J.M., Hovland R., Krutzik P.O., Perez O.D., Bruserud O., Gjertsen B.T., Nolan G.P. (2004) Single Cell Profiling of Potentiated Phospho-Protein Networks in Cancer Cells. Cell. 118:217-228. (2) Sachs K., Perez O., Pe’er D., Lauffenburger
D.A and Nolan G.P. 2005. Causal protein-signaling networks derived from multiparameter single-cell data. Science. 308:523-9.
3 LOCATION PROTEOMICS: IMAGE INFORMATICS FOR SYSTEMS BIOLOGY
Robert F. Murphy1 1Carnegie Mellon University, Biological Sciences & Biomedical Engineering, Mellon College of Science & Carnegie Institute of Technology, Pittsburgh, Pennsylvania
Systems Biology requires comprehensive, systematic data on all aspects and levels of biological organization and function. In addition to information on the sequence, structure, activities, and binding interactions of all biological macromolecules, the creation of accurate, predictive models of cell behavior will require detailed information on the distributions of those molecules within cells and the ways in which those distributions change over the cell cycle and in response to mutations or external stimuli. Current information on subcellular location in protein databases is limited to unstructured text descriptions or sets of terms assigned by human curators. These entries do not permit basic operations that are common to other biological databases, such as measurement of the degree of similarity between the distributions of two proteins, and they are not able to fully capture the complexity of protein patterns that can be observed. The field of location proteomics seeks to provide automated, objective, high-resolution descriptions of protein location patterns within cells. The initial foundation for the field was the demonstration that automated classifiers could be trained to recognize all major subcellular patterns in fluorescence microscope images, and especially the critical finding was that such systems could discriminate location patterns better than visual examination. The very high accuracy (over 98% on single 3D images) of these systems gave confidence that the numerical features used to describe location patterns could form a basis for extending the methods to unsupervised learning of patterns. To this end, we have described grouping of proteins into statistically-indistinguishable location patterns using consensus clustering methods. The resulting clusters, or location families, are analogous to clusters found for other domains, such as protein sequence families. Our current work is focusing on extending this work in a number of new directions. These include analyzing the temporal dependence of subcellular patterns, generalizing pattern analysis across many cell types, analyzing mixed multicell images in cultures and tissues, and creating generative models of subcellular patterns that can be incorporated into comprehensive models of cell behavior. The combination of these methods with large scale, high throughput imaging approaches will allow realistic cell modeling that reflects detailed knowledge of the subcellular location of all proteins. We anticipate that work in this field will also lead to improved diagnostics based on subcellular pattern discrimination.
4 THE NIH CHEMICAL GENOMICS CENTER: ANNOTATING THE BIOLOGICAL ACTIVITY OF CHEMICAL LIBRARIES USING QUANTITATIVE HIGH THROUGHPUT SCREENING
Jim Inglese1 1National Institutes of Health (NIH), NIH Chemical Genomics Center, Bethesda, Maryland
The NIH Chemical Genomics Center (NCGC; www.ncgc.nih.gov/) is the founding member of the Molecular Libraries Screening Center Network (MLSCN), a network of ten centers established as part of the NIH Roadmap for Medical Research (nihroadmap.nih.gov/). The mission of the NCGC is to make accessible the technologies and protocols of high throughput biomolecular screening and chemistry optimization, developed primarily in the pharmaceutical and biotech industries, to academic investigators. The ‘product´ emerging from the NCGC pipeline will not be drugs, but rather chemical probes to aid in the understanding of biology and validation of therapeutic targets. In refining the screening process, the NCGC has developed a strategy called “quantitative HTS” (qHTS) to generate concentration-response curves for a range of biochemical and cellular assays on large compound collections using existing technologies. Our process is highly refractory to false positives, easily identifies compounds of low potency and efficacy, and demonstrates the potential to build high-quality chemical genomic databases. Examples from this new paradigm will be presented.
5 HIGH THROUGHPUT FLOW CYTOMETRY AND THE NIH ROADMAP MOLECULAR LIBRARIES INITIATIVE
Larry A. Sklar1, JeffreyArterburn2, Bruce Edwards3, Tudor I Oprea4, Eric R Prossnitz5, Herbert G Tanner6 1University of New Mexico, Cancer Researcn and Treatment Center and Pathology, Health Sciences Center, Albuquerque, New Mexico; 2New Mexico State University, Chemistry and Biochemistry, Las Cruces, New Mexico; 3University of New Mexico, Cancer Research and Treatment Center and Pathology, Albuquerque, New Mexico; 4University of New Mexico, Biochemistry and Molecular Biology, Albuquerque, New Mexico; 5University of New Mexico, Cell Biology and Physiology, Albuquerque, New Mexico; 6University of New Mexico, Mechanical Engineering, Albuquerque, New Mexico
The high throughput (HT) flow cytometry platform HyperCyt is adept at both cell and particle-based assays and is compatible with both high content and multiplex analysis. Our cell-based assays have initially been directed against G protein-coupled receptor (GPCR) targets where we have identified novel small molecule ligands for peptide and steroid receptors. We have developed general particle-based multiplexed approaches compatible with assemblies of soluble membrane receptors, receptor tails, proteases, kinases, nucleases, etc. We have probed the mechanism of partial agonism and the steps in signal transduction using flow cytometry-based kinetic analysis with soluble GPCR. We have also developed approaches probing cell-cell adhesion, nanoscale integrin conformational changes, and responses to nanoscale intercellular forces. The NIH Roadmap Molecular Libraries Initiative (MLI) has given us the opportunity, through the New Mexico Molecular Libraries Screening Center (NMMLSCN, http://nmmlsc/) to implement HT flow cytometry for the international research community. The MLSCN has expertise in: 1) target and assay development; 2) the integration of flow cytometric and virtual screening to enhance the discovery process; and 3) medicinal chemistry for the optimization of active molecules and the development of imaging agents. Through MLI and collaborations with investigators outside the MLSCN, we are currently developing cell-based assays for cytotoxicity where both cell viability and cell number can be recorded, bacterial virulence, multi-drug resistance, androgen response, protein expression, and generic cell responses, to name a few. We are also working on particle-based multiplexed protein-protein assays for interactions between Bcl-2 family members and generic protein-oligonucleotide interactions.
6 THE PHARMACODYNAMICS OF MOLECULAR CANCER THERAPEUTICS
David Hedley1 1Princess Margaret Hospital, Toronto, Ontario, Canada
Our approach to cancer is being revolutionized through rapid progress understanding the molecular mechanisms, coupled to rational drug design programs producing highly selective agents to target these mechanisms. Despite the current excitement, there are formidable obstacles to making effective molecular cancer therapeutics a clinical reality. Unlike classical chemotherapy and radiotherapy, the drugs are highly selective in their actions, and effective only when their molecular target is playing a significant role driving the malignant process. Due to the complex, multigenetic basis of cancer development, it is unlikely that a single molecular targeted agent could achieve long term cancer control in the clinic. More likely, optimal treatment will consist of combinations of agents, rationally selected based on understanding the downstream interactions of drug targets, and individualized by analysis of the patient´s tumour tissue. Fluorescence-based techniques using flow or image cytometry have major advantages studying complex biology, because they address the problems of cellular heterogeneity, and are able to study molecular interactions through the use of multiple fluorescence labels. The development of phosphospecific antibodies has allowed the introduction of techniques to study signal transduction at the single cell level, including the analysis of complex signaling interactions. This is of particular importance to molecular oncology, since a large number of agents currently in clinical trial inhibit signaling pathways. As well as measuring baseline activity to identify if the drug target is being expressed in the cancer cells, cytometric methods can also be used to monitor pharmacodynamic effects during treatment. Pharmacodynamics is a branch of pharmacology that asks how drugs impact on the host tissues, whereas pharmacokinetics studies how drugs are metabolized and eliminated by the patient. During the early phases of drug development, it is important to show that the drug is interacting with its target in vivo, and to determine the relationships between drug dose and the extent of target inhibition. Along with others, our group has been able to develop pharmacodynamic markers based on flow cytometry and fluorescence image analysis, validate these using experimental systems, and then translate the methods to the actual clinical situation. Pharmacodynamic information is critical to understanding what is going on in a patient´s cancer cells during treatment, in order to explain why treatment works in some patients but not in others. Although still in its infancy, cytometrybased pharmacodynamics has the potential to play a major role bridging between basic science, pathology, pharmacology, and molecular oncology.
7 SEARCHING FOR AN HIV VACCINE: THE ROLE OF FLOW CYTOMETRY
Mario Roederer1 1ImmunoTechnology Section, Laboratory of Immunology, Vaccine Research Center, NIAID, NIH, Bethesda, Maryland
Vaccine development to protect against HIV development is actively proceeding on two fronts: generation of a sterilizing (neutralizing) humoral response, and generation of an effective cellular response. To date, it has been impossible to generate an antibody response of sufficient potency that sterilizing vaccination is possible. Nonetheless, a vaccine can be considered successful on a global scale if the induced cellular response is sufficient to dampen viral loads (reducing transmission) as well as reducing morbidity and mortality after infection. We use a variety of adjuvants, delivery mechanisms, and immunogens to induce a variety of T cell responses. By challenging vaccinated nonhuman primates with live virus, we hope to identify the kinds of responses that are best correlated with protection as measured by a reduction in peak viral load, set point viral load, and amelioration of the dramatic destruction of memory CD4 T cells during acute infection. As we move forward through phase I and II clinical trials in humans, and prepare for phase III, we are keen to determine whether or not these types of responses are induced in humans as well. The primary tool for determining the quantity and quality of the T cell response is flow cytometry. Using sophisticated instrumentation, software, reagents, and techniques, we are able to measure five or more different functional responses simultaneously from each cell (e.g., cytokine profile, cytotoxic potential, proliferative capacity). These complex combinations of functions reveal that there are a number of distinct “flavors” of T cell responses present in either naturally infected or vaccinated subjects; the task now is to identify which of these flavors is most suited to protection from challenge. In addition, by studying rapid HIV progressors vs. long term nonprogressors, we are beginning to identify differences in T cell responses that are correlated with disease pathogenesis, perhaps pointing us towards desirable types of vaccine responses. Significant challenges remain, however. The automation of the sample analyses, the automation of the data analyses, compliance with GLP, and validation of these procedures is an enormous challenge. Integration and presentation of the highly complex datasets is still intensely laborious and challenging. In these terms, flow cytometry technology development is shifting from the instrumentation to the software and data interpretation aspects, which have yet to catch up to the rapid growth of the hardware capabilities.
8 FRONTIER LECTURE 4: HUMAN STEM CELL BIOLOGY AND POTENTIAL APPLICATIONS
Mickie Bhatia1 1McMaster University, Hamilton, Ontario, Canada
Dr. Bhatia’s program has characterized signaling pathways that regulate human stem cells and initiated new approaches of changing human stem cell behaviour. Using human to mouse xenotransplant systems to define human stem cells in the whole body, he has shown that growth factors normally abundant during fetal development can be introduced to adult stem cells and change their growth properties and ability to form other cell types. In parallel, Dr. Bhatia has demonstrated that cord blood stem cells have the potential of regenerating a damaged pancreas and correcting diabetic-like symptoms. Where human embryonic stem cells (hESCs) have been explored, his work provides evidence of the ability to generate blood stem cells from hESC lines and novel ways of growing hESC lines in culture. These findings provide novel procedures that may be useful in cell transplantation based regenerative therapies and continue to compare the effectiveness of adult and embryonic stem cells alike.
THE LCOS-BASED PROGRAMMABLE ARRAY MICROSCOPE (PAM)
Thomas M. Jovin1, Martin Thomas2, Guy M. Hagen1, Donna
J. Arndt-Jovin3, Keith A. Lidke4, Andrew Hill2, A. Martyn Reynolds2, Jeremy Graham2, Rainer Heintzmann5, Quentin Hanley6 1Max Planck Institute for Biophysical Chemistry, Molecular Biology, Goettingen, Niedersachsen, Germany; 2Cairn Research Ltd., Faversham, United Kingdom; 3Max Planck Institute for Biophysical Chemistry, Goettingen, Niedersachsen, Germany; 4Sandia National Laboratories, Biomolecular Materials and Interfaces Department, Albuquerque, New Mexico; 5King’s College London, New Hunt’s House, Randall Division of Cell and Molecular Biophysics, London, United Kingdom; 6Nottingham Trent University, School of Biomedical and Natural Sciences, Nottingham, United Kingdom
In 1998, we reported the realization of an optically sectioning fluorescence microscope (PAM) for rapid, light efficient 3D imaging of living specimens.1,2 The design was based on conjugate structured illumination & detection implemented with a spatial light modulator (SLM) located at an image plane of a conventional fluorescence microscope. The major advantages of the PAM are: (1) compact design with no moving parts; (2) very significant speedup/improvement in sectioning due to a pixel duty cycle of up to 50%, and simultaneous detection & processing of both conjugate (in-focus) & non-conjugate (out-of-focus) images; (3) ultrasensitive detection via electron multiplying CCD cameras; (4) programmable & adaptive optical sectioning based on libraries of dot, line & pseudo-random (Sylvester) sequence patterns; (5) flexible light sources, including LEDs; (6) generation & detection of arbitrarily polarization patterns; (7) compatibility with hyperspectral & lifetime-resolved imaging; (8) incorporation of light sources for photo-destruction and/or transformation, modes compatible with FRAP, FLIP & FCS/ICS; (9) minimal photobleaching. We report here the design, operation & application(s) of a new generation commercial PAM created by the combined efforts of the MPIbpc (Mol Biol Dept) and Cairn Research Ltd. (UK). The stand-alone module, including light source(s) and detector(s), features an innovative catadioptric design and a ferroelectric liquid-crystal-on-silicon (LCoS) SLM instead of the original DMD. It can be attached to a side port of a(ny) unmodified fluorescence microscope. The Cairn prototype system currently operated at the MPI incorporates a 6-position high-intensity LED illuminator and an Andor iXon emCCD camera, and is mounted on an Olympus IX71 inverted microscope with 60-150x objectives and a PZ translator, a Cairn Optoscan monochromator, and a Prior Scientific ProScan stage. Further enhancements are being incorporated: (i) point- and line-wise spectral resolution, detecting with an Applied Scientific Imaging SpectraCube imager or a Specim ImSpector imaging spectrograph; and (ii) lifetime imaging (FLIM) using phase-modulation2 and TCSPC modules. Multiphoton operation and other nonlinear techniques should be feasible. Real-time sectioning with 50-100 ms exposures and lag-free manual focusing have been achieved with a single LED source. Operation is insensitive to mechanical shock applied to the microscope table; thus, the system is suitable for ruggedized (field) use. It is currently being applied to developmental biology and signal transduction studies, e.g. based on quantum dot ligands3. 1Verveer PJ et al. 1998. J. Microsc.189:192; 2Hanley QS et al. 2005. Cytometry 67A:112 (latest PAM paper); 3Lidke DS et al. 2005. J. Cell Biol. 170:619.
10 CHEMICAL CYTOMETRY-ANALYTICAL CHEMISTRY OF SINGLE CELLS
Norman Dovichi1 1University of Washington, Chemistry Department, Seattle, Washington
It is now possible to generate one- and two-dimensional protein electrophoresis data from single mammalian cells. These separations are capable of resolving a hundred components from the cell, and the data can be correlated with cell cycle and other properties of the cells. Examples have been generated from breast, prostate, colon, and esophageal cancer cell lines, from macrophages, astrocytes and neurons, and from osteoprecursors and myoblasts. Instrumentation is under development that can characterize tens of thousands of cells per day in one-dimensional electrophoresis and thousands of cells per day in two-dimensional electrophoresis. Other instrumentation is able to detect specific proteins at the single copy level in single cells and determine post-translational modifications of that protein. Finally, metabollic pathways for both carbohydrates and glycolipids have been monitored in single cells.
11 MULTIMODE LIVE CELL IMAGING REVEALS A NOVEL METHOD OF CELLULAR COMMUNICATION IN THE IMMUNE SYSTEM
Simon C. Watkins1 1University of Pittsburgh, Center for Biologic Imaging, School of Medicine, Pittsburgh, Pennsylvania
Engagement of cell surface receptors leads to intracellular signaling that has generally been shown to alter phenotype and function of individual cells. Using a variety of cutting edge optical imaging methods We show here that myeloid-lineage dendritic cells and monocytes can be triggered to flux calcium by mechanical contact with a microprobe, and that the signal can be propagated within seconds to other cells at distances up to a hundred microns away by membranous connections called tunneling nanotubules (TNTs). These form a complex and transient network in live cells, with individual TNTs exhibiting great variation in length and diameter. In addition to calcium fluxes, microinjected dye tracers can be transferred through these connections. Following TNT-mediated stimulation, spreading of lamellipodia occurs in dendritic cells characteristic of that seen during the phagocytic response to bacteria. These results demonstrate that functional signals generated in a single cell can be transmitted to other cells through a physically connected network.
12 FLUORESCENT SPECKLE MICROSCOPY
Gaudenz Danuser1 1The Scripps Research Institute, Department of Cell Biology, La Jolla, California
Fluorescent speckle microscopy (FSM) is a method to analyze the movement and assembly/disassembly dynamics of macromolecular structures. It capitalizes on fluorescent analog cytochemistry, in which purified protein is covalently linked to a fluorophore and microinjected or expressed as a GFP fusion in cells. Fluorescent protein coassembles with unlabeled, endogeneous protein, visualizing the localization and architectural organization of the structure inside a living cell. Despite its broad application, this classic approach has been limited in reporting subcellular dynamics because of the inherently high background fluorescence from unincorporated and out-of-focus incorporated fluorescent subunits and the uniform labeling of the target structure. However, if the labeled subunits make up less than 1% of total pool of subunits, fluorophore patterns of high non-uniformity accumulate. They provide a unique random code identifying specific subareas of the target structure in space and time. Addition of new fluorophores to the code indicates the local association of subunits; subtraction of fluorophores the local dissociation. These molecular events can be monitored by diffraction-limited imaging using wide-field, total internal reflection, or spinning disc confocal fluorescence microscopy equipped with sensitive CCD cameras. The resulting images display punctate patterns of local maxima, called speckles, over a dimmer background.
Speckles correspond to regions of the size of the point-spread-function with a higher fluorophore density and serve as fiduciary marks of the dynamics of the underlying structure. Although conceptually simple, the interpretation of FSM time-lapse sequences requires sophisticated computational tools for the tracking and statistical analysis of the intrinsically stochastic and highly convoluted signals. In this lecture I will cover the basic design of algorithms that simultaneously track thousands of speckles; and statistical models that allow the conversion of positional fluctuations and speckle intensity variations into spatiotemporally resolved maps of transport, turnover, and viscoelasticity of the probed structure. I will then report how quantitative FSM yielded major discoveries of the dynamic organization of the actin cytoskeleton in migrating cells and of the transient interaction of the cytoskeleton with other cellular assemblies such as focal adhesions. With a second set of examples I will indicate how we exploit the submicron resolution of this technique to infer molecular mechanisms of force generation during cell migration. Finally, I will illustrate the power of FSM as a general quantitative method for imaging the dynamics of any multiprotein structure in cells and in vitro.
13 FACILE GENERATION OF BIOSENSORS TO STUDY ENDOGENOUS PROTEIN ACTIVATION IN LIVING CELLS
Klaus Hahn1 1University of North Carolina at Chapel Hill, Department of Pharmacology, Chapel Hill, North Carolina
We are developing new methods for studying the spatio-temporal dynamics of signaling with minimal perturbation. By conjugating novel dyes to affinity reagents, activities of endogenous proteins can be studied with high sensitivity. This approach opens the door to high throughput generation of biosensors via phage display and other screening for biosensor affinity elements. The approach also readily permits analysis of multiple signaling activities in the same cell.
14 MULTIPLEXED HYBRID CYTOMETRY BASED APPLICATION PLATFORM TECHNOLOGY: A TOOL TO FIGHT THE HIV PANDEMIC IN THE 21ST CENTURY
Francis Mandy1 1Health Canada, Ottawa, Ontario, Canada
In sub-Saharan Africa about 12 million people perish every year from: HIV, malaria and tuberculosis. For the majority of the individuals who make up these gruesome annual statistics, the cause of death is uninvestigated. The introduction of affordable antiretroviral therapy (ART) in parts of Africa provides an opportunity to establish infrastructure to support laboratory medicine. This movement is a significant step in the direction of an effective health care system. Conventional laboratory medicine from resource rich regions is incompatible with African economical, cultural and political realities. In sub-Saharan countries 38% of the population exists on <$1 a day, with a gross national income per capita <$500. In the past, in most resource limited regions, founding agencies’ concentrated on disease prevention and provision of care. Until now, little effort has been exerted to build sustainable laboratory capacity. With the introduction of ART in Africa, health care policy makers and clinical scientist recognize the urgent need for affordable and sustainable laboratory infrastructure to support the diagnosis and treatment of HIV. For 25 years, flow cytometry has been the CD4 T-cell enumerating devic, to monitoring immune status of HIV infected individuals. Recently, numerous companies introduced affordable and robust cytometers both the flow and none-flow variety. Currently, the lower cost, dedicated instruments are the most popular choice for CD4 T-cell counting in Africa. Accumulative sales of these instruments are reaching significant numbers. When establishing affordable and sustainable comprehensive laboratory infrastructure is the overall long term objective; they in fact may turn out to be not the most cost effective option. In this presentation features of the hybrid flow based application platform (HyFAP) will be covered. The focus is on how to harness HyFAP and make economical sense in sub-Sahara Africa. They run both cell and microsphere based assays. Evidence will be presented to illustrate how a multi-functional and multiplexing capacity is a realistic option in resource poor countries. In the future, HyFAP will be connected to GSM wireless external quality monitoring services (WEMS). The integration with WEMS will assure minimum global standards for immunology laboratories. With HyFAP, it is possible to build laboratory capacity to provide rapid, accurate affordable and reliable diagnostic tests to battle infectious diseases in most resource poor regions of the globe.
15 REGULATION AND THERAPEUTIC TARGETING OF HUMAN LEUKEMIA STEM CELLS
Kristin Hope1, Liqing Jin2, Eric Lechman2, John Edgar Dick3 1University of Toronto, Toronto, Ontario, Canada; 2University Health Network, Cell and Molecular Biology, Toronto, Ontario, Canada; 3University of Toronto, Medical Genetics & Microbiology, Faculty of Medicine, Toronto, Ontario, Canada
In acute myeloid leukemia (AML) the leukemic clone is organized as a hierarchy originating from rare leukemic stem cells (LSC). Our interest has therefore been in identifying and therapeutically exploiting the molecular mechanisms that are uniquely required by these LSC. Although gene expression analysis is a common way of identifying the molecular players in stem cell function, few have explored the potential for microRNAs (miRNAs) in such a regulatory role. MiRNAs are 22 nucleotide (nt) non-coding RNAs processed from hairpin precursors that regulate translational repression of target genes. MiRNAs have been implicated in directing diverse biological processes including neoplasia. The identification of a set of embryonic stem cell specific miRNAs suggests that these may be involved in maintenance of the pluripotent state while a study linking miRNAs to fate determination showed ectopic expression of a specific miRNAs in hematopoietic progenitors could promote B or T cell differentiation. To address the role of miRNAs in the regulation of LSC we performed miRNA array analysis on 4 purified fractions based on CD34 and CD38 expression from 6 primary AMLs. We identified a unique miRNA signature that discriminates the CD34+CD38- fraction from more mature populations. One candidate, mir155, was also found to be differentially highly expressed in the stem cell fraction of normal cord blood by affymetrix array. RNAi-mediated knockdown of mir155 in a novel CD34+ leukemic cell line resulted in a loss of CD34 expression, an increase of differentiation antigen expression and significantly reduced proliferative potential. Our results are suggestive of a role for microRNAs in the regulation of LSC and leukemogenesis. In order to cure AML, LSC must be effectively targeted, however as existing therapeutic strategies target cycling cells and LSC are largely quiescent, new approaches must be found. We have shown previously that an activating monoclonal antibody (H90) directed against the adhesion molecule CD44 can release the AML differentiation block when administered in vitro. To address whether CD44 activation can act at the level of the LSC, H90 was administered to NOD/SCID mice transplanted with primary AML cells. We show that H90 greatly impairs leukemic repopulation by up to 95% compared to mice injected with control antibody. In addition, posttreatment grafts exhibited a much reduced level of primitive cells and an increase in immunophenotypically differentiated cells. The absence of leukemia in serially transplanted mice established direct targeting of LSC. The mechanism of H90 induced LSC loss involves both a promotion of LSC commitment and an impairment of their homing to supportive microenvironments.
16 DIAGNOSING PNH AND PREVIOUSLY UNDIAGNOSED ACUTE LEUKEMIAS WITH FLAER AND MULTIPARAMETER FLOW CYTOMETRY
D. Robert Sutherland1, Nancy Kuek1, Jeff Davidson1, Sylvia Lynn Bamford2, Michael Keeney3 1University Health Network, Clinical Flow Cytometry, Toronto, Ontario, Canada; 2London Health Sciences Centre, Flow Cytometry, London, Ontario, Canada; 3London Health Sciences, Hematology/ Flow Cytometry, London, Ontario, Canada
Paroxysmal Nocturnal Hemoglobinurea (PNH) is an acquired Hematopoietic Stem Cell disorder caused by a somatic mutation in the X-linked pig-a gene. This results in a partial or absolute deficiency of all glycophosphatidyl-inositol (GPI)-linked proteins/glycoproteins. The classical approach to diagnosis of PNH by cytometry involves the loss of at least 2 GPI-linked antigens (typically CD55 and CD59) on two different cell lineages (RBCs and Neutrophils). The bacterial lysin Aerolysin binds to the GPI moiety of cell surface GPI-linked molecules and causes lysis of normal cells but not GPI-deficient PNH cells. FLAER is a fluorescently-labeled inactive variant of aerolysin that does not cause lysis of cells to which it binds and this reagent is becoming more widely used in the diagnosis of PNH by Flow. In a single tube assay, we have combined FLAER with CD45, CD33 and CD14 that allows the simultaneous analysis of FLAER and the GPI-linked CD14 structure on neutrophil and monocyte lineages. Comparison to standard CD55 and CD59 analysis shows excellent agreement. The assay can be performed up to 48 hours after sample draw and data interpretation is straightforward. Additionally, we were able to detect fewer than 5% PNH-like monocytes and neutrophils in several cases of aplastic anemia, which we were otherwise unable to detect using CD55 and CD59 on red blood cells. Due to the higher signal to noise ratio, the method shows increased sensitivity in our hands over single (CD55 or CD59) parameter analysis. Interestingly, we have also detected leukemic blasts which show aberrant FLAER staining in several samples sent to us for ‘PNH testing’ including 1 case each of AML-M1, erythroleukemia (M6), a case of acute leukemia developed in a patient with a history of CMML and two cases of acute myelomonocytic leukemia. In all of these cases, the neutrophils stained normally with FLAER, thereby ruling out PNH, while the gated CD33bright cells failed to express CD14 and bound lower levels of FLAER.
17 HIGH CONTENT ANALYSIS IN DRUG DISCOVERY
Joseph Trask1 1Abbott Laboratories, Target and Lead Discovery, Abbott Park, Illinois
This talk will describe past, current and future trends of the use of high-content analysis (HCA) and high-content screening (HCS) in the biopharmaceutical industry and the crossover of the technology into the academic arena. The term “HCA/HCS” typically describes automated fluorescent imaging, image analysis, data management and the applications thereof. The technology not only complements flow cytometry technology, it resembles flow cytometry during its infancy with many challenges and a rapidly changing future. The impact of HCA/HCS technology in the biopharmaceutical industry is being felt throughout the entire drug development process from early drug discovery, target identification, target validation, screening through preclinical biomarker discovery including toxicology and mechanism of action studies. The technology has cross-pollinated into many areas of science including basic science and even material sciences. The goal of the talk is to provide the audience with a brief history of HCA/HCS and case studies where the technology has made an impact.
18 RARE EVENT DETECTION IN SOLID CANCERS
Alison L. Allan1, Michael Keeney2 1University of Western Ontario, Oncology, Schulich School of Medicine & Dentistry, London, Ontario, Canada; 2London Health Sciences Centre, Hematology/Flow Cytometry, London, Ontario, Canada
Given the multi-step nature of cancer development, there should be several opportunities for therapeutic targeting of tumor cells and/or the tumor microenvironment. The ideal way to identify and monitor disease progression is through surrogate marker approaches that are minimally invasive and allow for longitudinal testing, such as blood tests. Our current research focuses on the development of such approaches, in particular rare event detection by image and flow cytometric methods. Identifying rare populations requires a different approach than standard cytometry techniques, which rely mainly on positive and negative decisions made in either one, or at most, two dimensional space. Recent interest in identification and quantification of rare cell populations such as circulating epithelial tumor cells and circulating endothelial cells in cancer patients has pushed the limits of detection even further. Flow and image cytometric methods are now being developed to identify cellular populations with frequencies as low as 1-20 cells/ml. This presentation will discuss the issues that must be addressed when designing an assay to accurately detect rare populations of cells in blood or bone marrow, with emphasis on detection of circulating endothelial cells and circulating tumor cells in patients with solid tumors and in experimental mouse models of cancer.
19 IMAGE-BASED SCREEN FOR CELL CYCLE AND CANCER TARGETS
Daniel R. Rines1 1Genomics Institute of the Novartis Research Foundation (GNF), GNF Bio-Imaging Center, San Diego, California
Chromosome segregation during mitosis depends on the proper function of specialized structural and cytoskeletal machinery. The duplicated chromosomes are separated equally to daughter cells by the highly dynamic fibers of the mitotic spindle called microtubules. The spindle consists of a bipolar array of microtubules where the extreme ends of the spindle are each anchored to a centrosome. Kinetochores are large protein complexes that assemble onto centromeric DNA sequences and physically attach the replicated chromosomes to the spindle fibers. Ultimately, the maintenance of genomic integrity depends on the proper attachment of chromosomes to the spindle and on the generation of opposing tensile forces that pull the chromosomes apart. Failure in either of these processes leads to unequal partitioning of the genome. However, little is known about how chromatid-microtubule attachment is mediated, or how opposing forces are generated. Currently, two anticancer agents, paclitaxel (taxol) and camptothecin, are used in the treatment of various forms of the disease. Taxol promotes irreversible polymerization of microtubules, disrupting their inherent dynamic nature. Camptothecin functions by inhibiting topoisomerase I activity and leads to large scale chromosome breakage when opposing tensile forces are applied. The diverse action of these two anti-mitotic compounds and the mechanical complexity of the segregation process suggest that many protein components are involved. In fact, recent studies in more genetically tractable organisms such as the budding yeast, S. cerevisiae, have identified over 50 proteins involved in the chromatid-microtubule attachment process alone and many of the functional orthologues have yet to be identified in humans. Using a RNA library of 49,000 double-stranded (ds)RNA targeting approximately 24,000 genes, we performed a loss-of-function screen for essential mitotic chromosome segregation genes. We identified novel genes whose inactivation caused mitotic arrest. Multi-parametric analysis of image-based data derived from a high-content screen including phospho-histone H3 levels, cellular proliferation and nuclear morphology allowed us to isolate both checkpoint and independent segregation genes.
20 A HUMAN PROTEIN ATLAS FOR NORMAL AND CANCER TISSUES
Mathias Uhlen1, Fredrik Ponten2 1Stockholm, Sweden; 2Uppsala University, Uppsala, , Sweden
Antibody-based proteomics provides a powerful approach for the functional study of the human proteome involving the systematic generation of protein-specific affinity reagents. We have used this strategy to construct a comprehensive, antibody-based protein atlas for expression and localization profiles in 48 normal human tissues and 20 different cancers (1). The Human Protein Atlas is publicly available (www.proteinatlas.org) and contains, in the first version, approximately 400,000 high-resolution images corresponding to more than 700 antibodies towards human proteins. Each image has been annotated by certified pathologists to provide a knowledge base for functional studies and to allow queries about protein profiles in normal and disease tissues (2). Our results suggest it should be possible to extend this analysis to the majority of all human proteins thus providing a valuable tool for medical and biological research, in particular for biomarker analysis in various patient cohorts. Reference: (1) Uhlen M, Ponten F. (2005) Antibody-based Proteomics for Human Tissue Profiling. Mol Cell Proteomics 4(4): 384-393, (2) Uhlen et al (2005) A human protein atlas for normal and cancer tissues, Mol Cell Proteomics, 4(12):1920-1932.
21 FLOW AND IMAGE CYTOMETRIC FRET FOR DETECTING PROTEIN ASSOCIATIONS
János Szöllõsi1, György Vereb1, Gábor Horváth1, Péter Nagy1 1University of Debrecen, Department of Biophysics and Cell Biology, Medical and Health Science Center, Debrecen, , Hungary
Supramolecular organization of biomolecules at the cell surface or inside the cell has an important role in determining the function and integrity of cells. Specific techniques are available now for detecting molecular proximity and interactions in cells, such as flow or image cytometric variations of fluorescence resonance energy transfer (FRET). Flow cytometric techniques offer the advantage of rapid analysis on a large number of cells (~105 cells in some minutes) with a high statistical accuracy and a possibility for analyzing heterogeneity at the population level. Flow cytometry, however, does not provide any information about the spatial localization of fluorescent probes, but instead measures the fluorescence intensity averaged over each cell. In contrast, microscopic techniques provide a high spatial resolution: conventional fluorescence microscopies have a ~250 nm resolution limited by diffraction of the optics. Although microscopies have several further advantages in detecting molecular dynamics of changes in the distribution or intensity of fluorescent probes, they suffer from a low statistical reliability, especially in the case of quantitative measurements. Thus, a combined application of flow and image cytometry in resolving particular biological questions can be a very powerful approach. In flow cytometry we applied fluorescent probes with longer wavelength excitation and multiple wavelength detection in the emission regions so that autofluorescence correction could be performed on a cell by cell basis in FRET analysis. These facts improved the accuracy of the FRET method and cells with low receptor expression, such as HPB-ALL cells transfected with various CD45 isoforms were amenable to FRET investigation. Combination of various forms of flow and image cytometric FRET methods revealed distinctive expression and association pattern of ErbB receptor tyrosine kinases on the surface of various cancer cell lines sensitive or resistant to trastuzumab (Herceptin®). Simultaneous application of image cytometric FRET methods based on donor and acceptor photobleaching provided a useful dual FRET approach revealing a unique coassociation pattern of integrins, CD44 and ErbB2 on the surface of tumor cells. By measuring the distances between various monoclonal antibody epitopes on ErbB2 molecules and the distances between epitopes and the cell membranes useful information was provided for positioning the extracellular domain in molecular modeling the nearly full length ErbB2 dimer. In this model favorable dimerization interactions were predicted for the extracellular, transmembrane and protein kinase domains, which may act in coordinated fashion in ErbB2 homodimerization, and also in heterodimers of ErbB2 with other members of ErbB family.
22 DO NOT MIND THE GAP: PROTEIN TRAFFICKING BETWEEN THE ENDOPLASMIC RETICULUM AND THE GOLGI APPARATUS IN PLANT CELLS
Federica Brandizzi1 1University of Saskatchewan and Michigan State University, Saskatoon/East Lansing, Saskatchewan/Michigan, Canada
Secretory materials are synthesized on the surface of the endoplasmic reticulum (ER)1. They are then shipped from the ER to the Golgi apparatus to be sorted either back to the ER or to distal secretory compartments such as vacuoles and plasma membrane. It is vital for a cell to regulate protein transport between these organelles. The ER and Golgi are closely associated in plant cells2,3 (Fig. 1). How these two organelles communicate with each other in plant cells is an important question that remains largely unanswered. To provide further understanding of the regulation of protein export from the plant ER, we have explored the mechanisms of protein trafficking between the ER and the Golgi apparatus using live cell imaging techniques. It appears that plant cells contain multiple mobile Golgi stacks distributed over the entire cytoplasm. These stacks move with the ER by means of actin-myosin motors3,4. The domains of the ER dedicated to the export of proteins, the ER export sites (ERESs), form secretory units that move along the surface of the ER together with the Golgi stacks4,5. We also found that the integrity of Golgi and ERESs is regulated by the activity of specific GTPases, such as Sar1 and Arf14,5. Finally, we determined the existence of a stringent signal-regulated mechanisms for ER export of multispanning, type I and type II membrane proteins6. For example, we found that mutations of a specific di-acidic motif (DXE) in the cytosolic tail of proteins such as CASP, a Golgi matrix protein with a type II membrane topology7, cause a reduction of the export of this protein from the ER6. ER export of type I and multispanning membrane proteins appears to be similarly regulated6. Our results indicate that in plant cells the ER and Golgi form a dynamic membrane system whose components continuously cycle through the ER via a regulated membrane trafficking pathway. References: 1. Nicchitta CV. Curr Opin Cell Biol 2002;14(4):412-6. 2. Boevink et al. Plant J 1998;15(3):441-7. 3. Brandizzi et al. Plant Cell 2002;14(6):1293-309. 4. daSilva et al. Plant Cell 2004;16(7):1753-71. 5. Stefano et al. Plant J 2006; in press. 6.
Hanton et al. Plant Cell 2005;17(11):3081-93. 7. Renna et al. Plant Mol Biol 2005;58(1):109-22.
Confocal image of a tobacco leaf epidermal cell transformed with ERD2-YFP, a Golgi and ER marker3. Note that Golgi bodies (arrow) are in close association with the ER network. Scale bar = 5 microns
23 COHERENT ANTI-STOKES RAMAN SCATTERING (CARS) MICROSCOPY FOR LABEL-FREE, CHEMICALLY-SELECTIVE BIOMEDICAL IMAGING
Conor L. Evans1, Jeanette Kurian1, Eric O. Potma2, Mehron Pourgish’Haag3, Daniel Cote3, Charles P. Lin3, X. Sunney Xie1 1Harvard University, Chemistry and Chemical Biology, Cambridge, Massachusetts; 2University of California, Irvine, Chemistry, Irvine, California; 3Massachusetts General Hospital, Wellman Center for Photomedicine, Boston, Massachusetts
Advances in biomedical imaging have revolutionized our ability to visualize living organisms at the cellular and sub-cellular levels. Despite these developments, in vivo imaging with chemical contrast remains a challenge as molecular selectivity typically requires the introduction of specific labels. Many applications in biology and medicine would significantly benefit from a noninvasive imaging technique that circumvents such exogenous probes. In vivo microscopy based on vibrational spectroscopic contrast offers a unique approach for visualizing tissue architecture with chemical specificity. Coherent-anti-Stokes Raman scattering (CARS) microscopy is a non-linear imaging technique capable of rapid vibrational imaging of thick biological specimens. Backscattering of the intense forward propagating CARS light in tissue gives rise to a surprisingly strong epi-CARS signal that makes in vivo imaging possible. This substantial signal allows for real-time monitoring of dynamic processes, such as the diffusion of chemical compounds, in tissues [Evans et al. PNAS 102, 16807 (2005)]. By specifically tuning into the CH2 stretching vibrational frequency, we demonstrate CARS imaging and spectroscopy of lipid rich tissue structures in mouse skin, including sebaceous glands, corneocytes and adipocytes, with unprecedented contrast at subcellular resolution.

24 QUANTITATIVE LIVE IMAGING DESCRIBES MORPHOGENETIC NUCLEAR MOVEMENTS IN EARLY DROSOPHILA EMBRYO
Cris Luengo1, Soile Keränen2, Charless Fowlkes3, Gunther Weber4, Min-Yu Huang4, Oliver Rübel4, Bernd Hamann4, Damir Sudar1, Jitendra Malik3, Mark D. Biggin2, David W. Knowles1 1Lawrence Berkeley National Laboratory, Life Sciences Division, Berkeley, California; 2Lawrence Berkeley National Laboratory, Genomics Division, Berkeley, California; 3University of California, Berkeley, Computer Science Division, Berkeley, California; 4University of California, Davis, Department of Computer Science, Davis, California
The Berkeley Drosophila Transcription Network Project (bdtnp.lbl.gov) is conducting a system-wide analysis of the transcription network in the early Drosophila embryo. As part of this multidisciplinary effort, novel imaging, image analysis and visualization methods have been developed to construct the first three-dimensional (3D) atlas of gene expression and morphology in an embryo at cellular resolution. Our aim is to quantify the relative expression of hundreds of genes in wild type embryos and in a series of mutant embryos, and to map these results onto “stereotypical embryos”. Multiple-color in-situ hybridizations are used to fluorescently label gene products of interest, and total DNA is counter-stained. High resolution, multi-channel, 3D images are acquired of entire embryos using two-photon excitation. Individual nuclei are isolated from the DNA-stained images using novel, automated segmentation techniques, and the relative gene expression within and around each nucleus is then quantified. Novel techniques have been developed to register data from many images onto a “stereotypical embryo” and create exquisite quantitative visualizations of the data in 3D. One novel observation we have made is the systematic change in nuclear packing densities during stage 5 (interphase cycle 14, up to gastrulation), which can be seen by comparing fixed embryos of different ages. To understand these nuclear movements, we have studied the process in live histone2A-GFP embryos. Individual embryos were imaged from the 13th cleavage cycle to the start of gastrulation in approximately 3 minute intervals. Rapid temporal sequences were important for tracking individual nuclei but restricted the imaging to the portion of the embryo closest to the objective lens. Orientation of the imaged embryo portions were determined by morphological features during gastrulation and egg-length was determined from optical sections taken through the middle of the embryo. These measurements allowed images from multiple embryos to be combined into whole-embryomaps. The resulting patterns of nuclear packing density and flow-fields correlate with the dorsal-ventral orientation of the embryo and the future location of the ventral furrow. These results, which support our fixed embryo work, show complex 3D nuclear movements prior to gastrulation that will have to be considered to fully understand dynamics in gene expression patterns.
25 ACQUIRING MULITPLE IMAGES OF LARGE TISSUE SECTIONS IN BOTH FLUORESCENCE AND TRANSMITTED LIGHT USING THE LASER SCANNING CONFOCAL TISSUESCOPE
Trudey Nicklee1, David Hedley2 1Toronto, Ontario, Canada; 2Princess Margaret Hospital, Toronto, Ontario, Canada
Large tissue sections that overfill a microscope 10x objective field of view typically must be imaged using a tiling method. In tiling, sequential fields of view are acquired as separate image files. This is time consuming, especially when algorithms are employed to align edges of individual fields. Furthermore, depending on the quality of the stage movement and algorithms used, artifacts may be introduced from misaligned fields. The Biomedical Photometrics TISSUEscope (Waterloo, Ontario; confocal.com) is a laser confocal scanning microscope, able to acquire a low resolution image of an entire microscope slide as a single continuous 20 mm x 70 mm field in 30 seconds. Large subsections of interest can then be imaged at selected resolution to 1µm per pixel. The instrument is equipped with blue, green and red lasers, and can simultaneous acquire images from two lasers. Software allows for the same selected field of view to be repeatedly scanned with different excitation and emission parameters. Therefore, multiple fluorescent images of this same field of view are acquired aligned. This allows not only for quantification of several markers in a single section, but also co-localization studies of these markers. As well as allowing rapid image acquisition compared to tiled field imaging at comparable resolution using a conventional fluorescence microscope, the system also incorporates transmission detectors that allow RGB imaging based on absorbance from the three lasers. A fluorescently stained slide can therefore be imaged, then restained and imaged for transmitted light using the same optical system. This allows selected areas of interest to be identified by transmitted light, then directly linked to the fluorescence images. Wide field multispectral analysis of histological sections is a powerful technique for studying complex molecular processes at the intact tissue level. The laser scanning TISSUEscope is a novel instrument that offers several advantages that we are currently evaluating. Applications include the analysis of signaling pathways in sequential biopsies obtained from patients in clinical trials of molecular cancer therapeutics, and studies that address the problems of intratumoral heterogeneity.
26 COMPARISON OF FLUORESCENTLY AND CHROMATIC LABELED TISSUE MICROARRAYS ANALYZED BY LASER SCANNING CYTOMETRY
Ed Luther1 1CompuCyte Corporation, Cambridge, Massachusetts
Tissue microarrays (TMAs) are becoming invaluable tools in biomarker development. In developing automated analysis systems, the choice between fluorescent or chromatic staining techniques is a primary consideration. We have performed an evaluation comparing the two staining techniques. Materials and Methods: TMAs consisting of 121 elements (0.5 mm cores) were stained with either fluorescent or chromatic dyes and then submitted for blind analysis on a laser scanning cytometry platform. Control samples and breast cancer tissues were included. Serial sections of the arrays were stained with antibodies against HER2/neu protein and counterstained for DNA, either with chromatic reagents (DAB counterstained with hematoxylin) or fluorescent reagents (Alexa Fluor 488 counterstained with propidium iodide). The slides were analyzed on an iCyte® Automated Imaging Cytometer. High-speed scans were used to locate individual core elements within the array. High-resolution (0.25 micron) scans were then performed on each element to obtain either fluorescence or laser light absorption signals. Spectral deconvolution was used to separate the HER2 and DNA staining. In the chromatically stained sections, compensation techniques were applied for tissue autofluorescence. Scanned images were segmented using both nuclear segmentation and random sampling analysis. Results: In both TMA sets, the nuclear segmentation and random segmentation techniques (chromatic R2 = 0.9017, fluorescence R2 = 0.8048) correlated well. The correlation between the values from the chromatic and fluorescent labeled slides was less satisfactory—R2 = 0.6595. To investigate the discordance, analysis regions were defined around core elements falling into the following categories, laser scan images of representative elements were analyzed, and the staining patterns of the cores were confirmed. Category Chromatic Fluorescent Diagnosis 1 + + HER2/neu positive 2 + -HER2/neu positive – below fluorescence threshold 3
+ Autofluorescence artifacts 4 --Negative Conclusions: Our analysis showed greater sensitivity for TMAs stained with chromatic dyes than for those with fluorescent dyes. This is contradictory to the current belief that fluorescent dyes have greater quantitative capabilities than chromatic IHC dyes, and is probably due to complications from autofluorescence of the tissues. The ability to analyze both chromatic and fluorescent TMAs on the same instrument platform allows investigators great flexibility in selecting an appropriate staining technology - fluorescence, chromatic or both.
27 HYPERCHROMATIC CYTOMETRY PRINCIPLES FOR CYTOMICS BY SLIDE BASED CYTOMETRY
Attila Tárnok1, Mittag Anja1, Wiebke Laffers2, Dominik Lenz3, Andreas Gerstner2 1Cardiac Center, University of Leipzig, Research Laboratory, Pediatric Cardiology, Leipzig, Saxony, Germany; 2University Bonn, Bonn, Nordrhein-Westfalen, Germany; 3Purdue University, Purdue University Cytometry Laboratories, West Lafayette, Indiana
Multicolor and polychromatic analysis of biological specimens has become increasingly important due to the emerging new fields of high-content and high-throughput single cell analysis for Systems Biology and Cytomics. Combining different technologies and staining methods polychromatic analysis can be pushed further forward to virtually measure anything stainable in a cell. We termed this approach hyperchromatic and present different components suitable to be combined for achieving this task. For cell analysis Slide Based Cytometry (SBC) technologies are ideal as, unlike flow cytometry, it is a non-consumptive method, i.e. the analyzed sample is fixed on the slide and can following manipulation of the object be subsequently reanalyzed. In this overview we demonstrate on a SBC instrument, the Laser Scanning Cytometer, various approaches for hyperchromatic analysis. The different components demonstrated here are: 1) polychromatic cytometry (staining of the specimen with eight or more different fluorochromes simultaneously), 2) iterative restaining (using the same fluorochrome for restaining and subsequent reanalysis), 3) differential photobleaching (differentiating fluorochromes by their different photostability), 4) photoactivation (activating fluorescent nanoparticles or photocaged dyes), and 5) photodestruction (destruction of FRET dyes). Based on the feature of relocating cells that are immobilized on a microscope slide the identical cells can be subsequently reanalyzed and the data collected on the single cell level after manipulation steps. With the intelligent combination of several different techniques hyperchromatic cytometry allows to quantify and analyze virtually all components of relevance on the identical cell. The information gained per specimen is only limited by the number of available antibodies and by sterical hindrance.
28 A MULTIMODE ENDOSCOPE FOR SIMULTANEOUS MACROSCOPIC AND MICROSCOPIC IMAGING OF TISSUES IN VIVO
Silas J. Leavesley1, Bartlomiej Rajwa2, J. Paul Robinson3 1Purdue University, Biomedical Engineering, Weldon School of Biomedical Engineering, West Lafayette, Indiana; 2Purdue University, Basic Medical Sciences,Veterinary Medicine, West Lafayette, Indiana; 3Purdue University, Basic Medical Sciences & Biomedical Engineering,West Lafayette, Indiana Diagnosis of pathologies often includes gathering information using various diagnostic medical imaging modalities, and as a result of this information, the possible biopsy of tissues for further analysis. In many cases, the region(s) in which to perform a biopsy are detected and delineated by diagnostic images. Pathologies of the alimentary, respiratory, and urinary systems often make use of endoscopic imaging modes (mainly traditional and fluorescence endoscopy) to detect potential lesions, and use biopsy as a method for confirming the nature of the detected lesion. Thus, increasing the sensitivity of endoscopic diagnosis will aid in correctly delineating the boundaries of detected lesions, and increasing the specificity of endoscopic techniques may help to decrease the total number of biopsies taken. This work outlines the development of a new type of endoscope that features a forward-facing macroscopic video imaging port, and a side-facing microscopic imaging port. Both of these modes of imaging can operate simultaneously, and both can be operated in reflected light and fluorescence modes, allowing a physician to “zoom-in” on potential lesions and inspect their cellular makeup. The ability to inspect these suspected areas should decrease the number of false positive diagnoses, which could serve to decrease the number of biopsies, in many cases. This is appealing for two reasons, first it will serve to reduce tissue damage and pain to patients; second, it will reduce some costs associated with unnecessary biopsies. In addition, with the advanced software used in this system, the physician has greater control over what is actually imaged. Thus, this endoscope advances the technology in this field by delivering quality, high-resolution microscopic images with simultaneous macroscopic location information.
29 TOPOLOGY PRESERVING STACS SEGMENTATION OF PROTEIN SUBCELLULAR LOCATION IMAGES
Amina Chebira1, Gowri Srinivasa1, Lionel Coulot2, Heather Kirschner3, Jose M. F. Moura3, Jelena Kovacevic1, Elvira Garcia Osuna4, Robert F. Murphy5
1Carnegie Mellon University, Biomedical Engineering, Carnegie Institute of Technology, Pittsburgh, Pennsylvania; 2EPFL, Lausanne, Switzerland; 3Carnegie Mellon University, Electrical and Computer Engineering, Pittsburgh, Pennsylvania; 4Carnegie Mellon University, Biomedical Engineering, Pittsburgh, Pennsylvania; 5Carnegie Mellon University, Biological Sciences and Biomedical Engineering, Pittsburgh, Pennsylvania We present an algorithm for the segmentation of multicell fluorescence microscopy images. Such images abound and a segmentation algorithm robust to different experimental conditions as well as cell types is becoming a necessity. In cellular imaging, among the most often used segmentation algorithms is seeded watershed. One of its features is that it tends to oversegment, splitting the cells, as well as create segmented regions much larger than a true cell. This can be an advantage (the entire cell is within the region) as well as a disadvantage (a large amount of background noise is included). We present an algorithm which segments with tight contours by building upon an active contour algorithm—STACS proposed by Pluempitiwiriyawej at al. We adapt the algorithm to suit the needs of our data and use another technique, topology preservation proposed by Han et al, to build our topology preserving STACS (TPSTACS). Our algorithm significantly outperforms the seeded watershed both visually (see Figure, seeded watershed on the left, TPSTACS on the right) as well as by standard measures of segmentation quality (see Table).
| SW [%] | TPSTACS [%] | ||
|---|---|---|---|
| Area Similarity (AS) | 30.8 | 80.5 | |
| Area Overlap (AO) | HS | 62.2 | 82.1 |
| DNA | 62.3 | 99.8 | |
| Recall (R) | HS (T=70%) | 37.9 | 71.1 |
| DNA (T=95%) | 36.8 | 99.1 | |
| Precision (P) | HS (T=70%) | 40.0 | 76.8 |
| DNA (T=95%) | 36.3 | 99.1 | |
30 TWO AND THREE DIMENSIONAL SEGMENTATION OF WHOLE CELLS AND CELL NUCLEI IN TISSUE
Dean P McCullough1, Daniel Baggett2, Stephen J. Lockett3 1National Cancer Institute,Advanced Biomedical Computing Center, Frederick, Maryland; 2Worcester Polytechnic Institute, Mechanical Engineering, Worcester, Massachusetts; 3NCI / SAIC-Frederick, Frederick, Maryland
Communications between neighboring cells in large part drive tissue development and function, as well as disease-related processes such as tumorigenesis. In order to understand the molecular basis of these processes, it is necessary to quantitatively analyze specific molecules in adjacent individual cells or cell nuclei of the intact tissue. A major bottleneck preventing widespread use of such analyses is the lack of an efficient method that assures correct segmentation of all individual, whole cells in a given intact tissue volume of interest from 3D images. Consequently, we have developed software for identifying the optimum border around each individual cell or cell nucleus, a process known as segmentation, from 2D and 3D microscope images of intact tissue labeled with a fluorescent cell or nuclear surface marker. In the 2D case the optimum border was defined as the border that has an average intensity per unit length greater that any other possible border around the same cell or nucleus. Implementation of the algorithm required the user to indicate two points for each cell, one inside the cell and the other on the border. Thereafter segmentation was automatic and was peformed using dynamic programming. The method correctly detected virtually 100% of cells, because determination of the optimum path is not significantly affected by intermittent labeling of the cell borders, by diffuse borders, or by spurious signals away from the borders. It also contains interactive tools, which allows subsequent visualization and correction of the image. The method is also highly efficient due to only minimal user interaction. We have extended this method to 3D segmentation, which begins with 2D segmentation in a user-selected plane approximately through the center of the cell. Then the automatic algorithm separately finds the two surfaces of the cell in the planes above and below the user selected plane using dynamic programming. The algorithm does not find the true optimal surface since this is too computationally expensive, but closely approximates the optimum by finding a succession of partially optimal surfaces using the greedy algorithm with a look ahead of n steps. Following segmentation, the user may add points that are required to be on the surface to correct any perceived errors. The algorithm has been tested on a wide variety of biological tissue samples and will segment moderately irregularly shaped cells containing concavities. Work performed under contract grant sponsor: NCI/NIH; Contract #: NO1-CO56000.
31 A GENERAL TECHNIQUE FOR SEGMENTATION OF INDIVIDUAL CELLS IN LIGHT MICROGRAPHS
Zachary Pincus1, Julie A Theriot2 1Stanford University, Biomedical Informatics, School of Medicine, Stanford, California; 2Stanford University, Biochemistry, School of Medicine, Stanford, California
Many ad hoc methods exist for separating cells from the image background (and, with less success, from each other) in light micrographs. Here we present a general method that is applicable to many cell types and imaging modalities. A persistent difficulty with cell segmentation tools is that assumptions about cell shape, imaging conditions, and cell packing are “hard-coded” into the cell-finding logic. We instead make these assumptions explicit and modular. By using a parameterized “shape model” learned from training examples, our tool makes no implicit assumptions about cell shape. Performing the principal components analysis on cell outlines provided by the user produces a set of linearly independent modes of shape variation (e.g. large vs. small, round vs. elongated, etc.). These shape modes can then be recombined to generate candidate cells from a distribution of expected shapes. Because the only input required is a small set of shapes, it is easy to reconfigure this module for different cell types. We free our method from assumptions about the relationship between pixel values and the presence or absence of cells by converting images into a canonical form. Specifically, we use machine learning tools to convert images into “probability maps” where the value of each pixel is the likelihood that that pixel is inside of a cell. Simple k-nearest-neighbor classification of pixels based on local texture statistics is sufficient to transform images of many different types (e.g. phase contrast, DIC, epifluorescence) into simple-to-interpret probability maps. The only required inputs are a few image regions which have been manually labeled as “cells” or “background;” thus this module is also easy to reconfigure for different imaging conditions. To find a single cell in an image, a shape model is iteratively fit to a probability map. We numerically optimize the parameters of a given shape model (creating different candidate shapes) and its pose (x- and y-position and rotation) to maximize a goodness-of-fit function which evaluates how well the model fits to the probability map. This function evaluates the prior likelihood of the candidate shape, the distance between candidate shape edges and image edges, and the fraction of pixels with low likelihood of being in a cell that are nevertheless inside the candidate shape. We then refine the initial fit by deforming the shape to better fit the image within a level-set framework. This process is repeated to find all cells in an image. This method has shown human-competitive results in separating out individual cells from the background and from each other on many different image and cell types, including fixed S2 cell cultures, growing bacterial mats, and membrane-stained Drosophila epithelia.
32 FILO: AN UNBIASED SPATIAL ANALYSIS OF FISH SIGNALS IN INTERPHASE NUCLEI
Prabhakar Reddy Gudla1, Addison Z Yee2, Takumi Takizawa3, Tom Misteli3, Stephen J. Lockett1 1NCI/SAIC-Frederick, Image Analysis Lab, Frederick, Maryland; 2NCI-Frederick, Image Analysis Lab, Frederick, Maryland; 3NCI, Cell Biology of Gene Expression, Bethesda, Maryland
Spatial organization of interphase nuclei into well defined compartments and the positioning of gene sequences in interphase nuclei significantly impacts protein expression and cell function. Such phenomena are discovered through the application of statistical methods that analyze the non randomness of spatial distributions of fluorescence in situ hybridization (FISH) labeled sequences in terms of their distance to the nuclear centers and their proximity to each other. We have developed an algorithm (FILO) that uses automatic fuzzy-C-means clustering to segment cell nuclei and FISH signals from 2D images. Using statistical modeling of the FISH copy number in diploid cells, the algorithm found approximately 95% of true signals (tested using labeled protooncogene MYC and immunoglobulin-ë genes in human lymphoblast cells) and approximately 6% of detected signals were considered spurious. These results closely matched 96% and 7%, respectively, from visual analysis, thus strongly validating the segmentation procedure. We have developed novel, non-parametric spatial statistical tests, applicable for elliptically-shaped nuclei, which independently analyze the proximity of each FISH signal to the center of nuclei, the proximity of each signal to the major axis of the nucleus and the proximity of homologous and heterologous pairs of signals to each other. For example, the test will determine whether the proximity of FISH signals to each other is solely explained by their proximity to the nuclear center. This is accomplished by comparing the distribution of distances between pairs of FISH signals to the distribution of distances between pairs of random points using the Kolmogorov-Smirnov test, where the random points are conditioned to have the same distribution of distances to the nuclear centers as the experimental FISH signals. We call this approach: “bias-correction”. The test has been validated by simulation, applied to actual samples and generalizes to the independent analysis of many spatial parameters relevant to the genomic organization of the nucleus. Ongoing developments include extension to analyze FISH signals in arbitrary-shaped nuclei. This involves application of the distance transform to calculate the probability that each FISH signal is close to the edge of its nucleus, and then combining these probabilities into an overall probability for the population of nuclei using Fisher´s Chi-Square method. Overall, “FILO” will be an important tool for analyzing the complex genetic organization of interphase nuclei, including the potential for analysis of 3D images of polarized nuclei in tissue and for high throughput analysis. Acknowledgments: Work performed under contract grant sponsor: NCI/NIH; Contract #: NO1-CO56000
33 IMAGE ANALYSIS AND METADATA PROCESSING FOR CELL STRUCTURE AND FUNCTION DESCRIPTION. EXAMPLES OF APPLICATION AS A NEW DIAGNOSTIC APPROACH IN THREE DIFFERENT FIELDS: HAEMATOLOGY, TOXICOLOGY AND MICROBIOLOGY
Maria Cristina Albertini1, Marco Rocchi2, Augusto Accorsi1, Laura Teodori3 1University of Urbino, Institute of Biochemistry C.Fornaini, Urbino, Italy; 2University of Urbino, Institute of Biomedical Engineering, Urbino, Italy; 3ENEA CR CASACCIA, BIOTEC-MED, Rome, Italy
In order to describe biological states and processes, the collection and the evaluation of a large amount of image data are becoming more and more important. Consequently, the search for suitable complex statistics and the development of algorithms, allowing us to model the data and compile the knowledge gained from bio-imaging is the next challenge. We used a platform of statistical methods such as: multivariate statistics (PCA, discriminant analysis and multidimensional scaling) circular statistics (analysis of directional data) and shape analysis, to express analytical results from captured meaningful cell image information acquired from optical, electron and atomic force microscopy. All these microscopies have added high-resolution spatial dimensions information that enabled us to quantitatively detect cell orientation, surface properties and metabolic features. We reported examples of application to three different research areas: haematology, microbiology and toxicology. By this approach we were able to: i) diagnose some shape related RBC pathologies based on morphological automated analysis (essential hypertension prediction); ii) evaluate water Vibrio alginolyticus contamination, distinguishing between viable-but-not-culturable-cells to culturable-cells; iii) quantitatively analyse physiological and morphological alterations from static magnetic field exposure, demonstrating altered cell shape, diverse orientation and abnormal membrane structure; iv) increase the power of the comet assay DNA damage evaluation, distinguishing different DNA damages from chemical/physical noxia. In conclusion, the results demonstrated that through combining the imaging of cells with powerful image analysis algorithms, one can acquire a deeper knowledge on multiple biochemical and morphological pathways at the single-cell level to be used as a diagnostic tool.
34 NONINVASIVE FORWARD-SCATTERING SYSTEM FOR RAPID DETECTION, CHARACTERIZATION, AND IDENTIFICATION OF LISTERIA COLONIES. IMAGEPROCESSING AND ANALYSIS
Bulent Bayraktar1, Padmapriya P Banada2, J. Paul Robinson3, Arun K. Bhunia2, E. Daniel Hirleman4, Bartlomiej Rajwa3 1Purdue University, Electrical and Computer Engineering, Schools of Engineering, West Lafayette, Indiana; 2Purdue University, Molecular Food Microbiology Laboratory, Department of Food Science, West Lafayette, Indiana; 3Purdue University, Basic Medical Sciences, Veterinary Medicine, West Lafayette, Indiana; 4Purdue University, School of Mechanical Engineering, Engineering, West Lafayette, Indiana
Bacterial contamination by Listeria monocytogenes not only puts the public at risk but also is costly for the food-processing industry. Traditional biological and chemical methods for pathogen identification require complicated sample preparation for reliable results. Optical scattering technology has been used for identification of bacterial cells in suspension, but with only limited success. Extracellular materials produced by a culture in a colony along with cellular arrangements may provide unique signatures that are necessary for differentiation of colonies by light scattering. We have developed a noninvasive optical forward-scattering system for rapid detection, characterization, and identification of Listeria colonies grown on solid surfaces. The presented work includes application of computer vision and pattern recognition techniques. Bacterial colonies with a diameter of approximately 1.8 to
1.9 mm and a thickness of around 0.3 to 0.4 mm (measured along the optical axis) were analyzed with a laser scatterometer. Circular scatter patterns formed by bacterial colonies illuminated by red laser light were analyzed using Zernike (continous) or Tchebichef (discrete) moment invariants. Discrete moments do not possess the discretization errors inherent in continuous moments. This important advantage allows better fulfillment of orthogonality and invariance properties. Use of discrete moments improves the speed of our image processing algorithms. This is attained by calculating discrete polynomial coefficients directly from their definitions employing arbitrary precision arithmetic, rather than using recurrence relationships. The constructed coefficients are stored in look-up tables, and retrieved during the process of image analysis. This approach also eliminates a potential of numerical instability due to inadequate numeric precision. Principal component analysis and hierarchical clustering were performed on the results of feature extraction for colony differentiation. Classifications using linear discriminant analysis, partial least squares, and neural networks were used to test the feasibility of automated determination of bacteria pathogenicity on the basis of colony scatter patterns. The overall system is robust and can be extended into an automated user-friendly device for detection and differentiation of various pathogenic bacteria.
35 ENHANCED DIFFERENTIATION MODULE (EDM) FOR CLINICAL FLOW CYTOMETRY ANALYSIS
J. Paul Robinson1, Kathy Ragheb2, Cheryl Holdman3, Valeri Patsekin4, Christakis Christodoulou5, Bill Kiroviac6, Paul Church7, Todd Lary7 1Purdue University, Basic Medical Sciences & Biomedical Engineering, West Lafayette, Indiana; 2Purdue Unviersity, Basic Medical Sciences, West Lafayette, Indiana; 3W. Lafayette, Indiana; 4Purdue University, W. Lafayette, Indiana; 5Beckman-Coulter, Engineering, Physical Sciences and Engineering, Miami, Florida; 6Beckman-Coulter, Miami, Florida; 7Miami, Florida
We report on a new technology for flow cytometry to improve the light scatter collection of a routine instrument. The Enhanced Differentiation Module (EDM) developed for the FC500 and Altra flow cytometers provides several new scatter options for routine flow cytometry. Forward Angle Light Scatter (FALS) has been a standard feature of almost all flow cytometers for over 30 years. While inital developments in the field included studies of many angles of scatter, almost all instruments adopt a standard 2-4 degree scatter detection angle. The EDM module developed by Beckman-Coulter uses a fiber optic array with multiple rings at preset angles to collect significantly enhanced scatter signatures. Inital tests of the EDM were performed on a standard 2 laser FC500 benchtop cytometer. In the study, two identical instruments were run side-by-side with one instrument modified to accept the EDM. We present data showing the imact of using the different angles of scatter on very small beads, blood cells and regular cell cultured in flasks with a variety of treatements. The EDM as installed allows the use of individual or combined collection rings in addition to the implementation of neutral density filters to reduce the signal intensity on the detector if necessary. A very useful feature of the device was the ability to modify the gains on each detector to achieve optimal differentiation for any particular sample type. Current flow cytometry essentially assumes that a single forward scatter signal is adequate for most use. We have shown that this is seriously mistaken perception. Multiple scatter angles undoubtedly allow for differentiation of morphologically distinct populations otherwise inseparable by a standard scatter detector. We believe that this modification of a routine instrument will open new opportunities for cellular differentiation for malignant cells, cells which have phagocytosed particles, minor size changes and other refractive index alterations that differentiate cells or particles.
36 SORTING OF ULTRA-SMALL VESICLES FOR PROTEOMIC ANALYSIS
James N. Higginbotham1, Zheng Cao2, Thomas J. Utley3, James E. Crowe4, Robert J. Coffey5 1Vanderbilt University, Pediatric Infectious Diseases, Vanderbilt University Medical Center, Nashville, Tennessee; 2Vanderbilt University, Medicine and Cell and Developmental Biology, Nashville, Tennessee; 3Vanderbilt University, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee; 4Vanderbilt University, Medical Center, Nashville, Tennessee; 5Vanderbilt University, Medicine, School of Medicine, Nashville, Tennessee
Commercial flow cytometers have undergone recent design improvements in the optical collection and electrical signal processing that have dramatically improved the ease of operation and capabilities of sorting cytometers. We have recently customized a BD FACSAria with the addition of a forward scatter PMT that allows improved resolution of particles smaller than 200 nm in diameter. In this study we report methods that allow the purification of exocytic vesicles ranging in size from 30-200 nm to greater than 98% purity. Briefly, Naked-2-GFP fusion containing vesicles are partially purified by ultracentrifugation to approximately 60 % purity and counter stained with DID. Subsequent sorting proteomic analysis generated several tags of importance withregard to vesicle trafficking and functional binding of TGF-Ñ, the ligand of Naked-2. Application of this work to other types of vesicles is currently underway. Finally, these developments have been applied to the detection of cell-free GFP-tagged human rotavirus virus-like particles that are less than 100 nm in size.
37 A NOVEL SOFTWARE ARCHITECTURE THAT ALLOWS THE USE OF WINLIST FOR REAL-TIME DATA ACQUISITION AND SORTING CONTROL OF A HIGHLY AUTOMATED PARALLEL SORTING (HAPS)
Gary Durack1, Mark Hubbard1, Jeremy Hatcher1, C. Bruce Bagwell2 1iCyt Visionary Bioscience, Champaign, Illinois; 2Verity Software House, Inc., Topsham, Maine
A promising new approach for ultra high-throughput cell sorting is the use of Highly Automated Parallel Sorting (HAPS) systems. In these systems, many HAPS channels can be operated in parallel to achieve a throughput of millions of cells per second. We have developed and will demonstrate a standard interface to the iCyt HAPS system that allows the use of Verity Software´s WinList listmode analysis software as the primary graphical user interface (GUI) for real-time data acquisition, definition of cell sorting regions, definition of sort logic and listmode data analysis. WinList, a very advanced data analysis package, was modified by Verity Software to utilize the iCyt instrument interface. On the iCyt system, the individual HAPS channels are controlled by an embedded single board computer (SBC). Once programmed, each HAPS channel will perform all sort operations independent of external control. The SBC communicates with external computer applications such as WinList via TCP/IP over a local area network. This allows multiple computers to send and receive data from the SBC. The interface allows data streams to pass in real-time from the SBC to any computers on the LAN running WinList. The WinList computers send sort region, sort logic, and control information to the SBC. The system allows data from multiple HAPS channels to be displayed in a single instance of WinList. It also allows multiple instances of WinList to view data from the same HAPS channel. This architecture is scalable and can be used to support control of any number of HAPS channels. The advanced data processing and control architecture presented is an incremental step toward realizing ultra high-throughput cell sorting in highly parallelized systems.
38 CLASSIFYING CELL SIGNALING PROFILES IN LEUKEMIA
Nikesh Kotecha1, Jonathan Michael Irish2, Garry P. Nolan3 1Stanford University, Biomedical Informatics, School of Medicine, Stanford, California; 2Stanford University, Oncology Division, School of Medicine, Stanford, California; 3Stanford University, Molec Pharmacology, School of Medicine, Stanford, California
Most human diseases involve abnormal cell signaling behavior ranging from cells being exposed to an abnormal amount of signals to a malfunction in cell mechanism (e.g.cancer). Recent advances in antibody and flow cytometry technologies have led to the ability of using FACS to measure intracellular changes within cell populations[1,2]. These changes are often transient (e.g. phosphorylations) and are the mechanisms by which tumor cells achieve malignant behavior and manipulate their environment. We have used this technique to discover new and alternate signaling mechanisms[3,4] as well as show its use as a novel way of profiling cancer patients[5]. Analysis techniques for the considerable amount of data generated (e.g. 50,000 cells/sample x 6 measurements/cell) however require human intervention to determine relevant cell subsets prior to sample comparison and ignore potentially informative data present in small subsets of cells defined in multidimensional signaling space. We have developed an approach based on principal component analysis (PCA) for comparing samples without subset identification. In particular, we have applied it to classify acute myeloid leukemia (AML) samples from Irish et al[5] and can (1) rank or cluster samples and (2) extract distinguishing features/cell subsets between samples. Identification of such signaling subsets can be useful in the discovery of small populations of cancer cells responsible for poor clinical outcome (e.g. cancer stem cells). References: 1. Krutzik PO, Irish JM, Nolan GP, Perez OD. Analysis of Protein Phosphorylation and Cellular Signaling Events by Flow Cytometry: Techniques and Clinical Applications. Clin Immunol. 2004 Mar;110(3):206-21. 2. Krutzik PO, Nolan GP. Intracellular Phospho-Protein Staining Techniques for Flow Cytometry: Monitoring Single Cell Signaling Events. Cytometry
A. 2003 Oct;55(2):61-70. 3. Sachs K, Perez O, Pe’er D, Lauffenburger DA, Nolan GP. Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data. Science. 2005 Apr 22;308(5721):523
9. 4. Perez OD, Krutzik PO, Nolan GP. Flow Cytometric Analysis of Kinase Signaling Cascades. Methods Mol Biol. 2004;263:67-94. 5. Irish JM, Hovland R, Krutzik PO, Perez OD, Bruserud O, Gjertsen BT, Nolan GP. Single Cell Profiling of Potentiated Phospho-Protein Networks in Cancer Cells. Cell. 2004 Jul 23;118(2):217-28.
39 CLUSTER AND PRINCIPAL COMPONENT ANALYSIS FOR THE IDENTIFICATION OF COMPLEX PHENOTYPES
Enrico Lugli1, Marcello Pinti1, Leonarda Troiano1, Milena Nasi1, J. Paul Robinson2, Valery Patsekine2, Caterina Durante3, Gianfranco Salvioli4, Marina Cocchi3, Andrea Cossarizza1 1University of Modena and Reggio Emilia, Dept. of Biomedical Sciences, Modena, Italy; 2Purdue University, Basic Medical Sciences, West Lafayette, Indiana; 3University of Modena and Reggio Emilia, Dept. of Chemistry, Modena, Italy; 4University of Modena and Reggio Emilia, Dept. of Gerontology, Modena, Italy
Polychromatic flow cytometry allows the determination of multiple antigens in the same cell and permits, at least in part, the elucidation of complex networks in the immune system. However, the main problem of this powerful technology remains the analysis of the data, as multiple determinations at single cell level can identify a high number of populations, which obviously results from the combination of antigens (typically, 2 to the n, where n is the number of fluorescent parameters). Here we propose the use of cluster analysis and principal component analyses (PCA) in order to simplify >7 colour data visualization. We studied the expression of antigens involved in the differentiation (CD45RA and CCR7), survival (CD127) and activation (CD95 and CD38) of CD4+ and CD8+ T lymphocytes from subjects with different age (young and middle-age donors and centenarians) and we analyzed all possible populations by combining the expression (positivity or negativity, as well as intermediate - dim - expression) of these molecules. A 16-parameters CyFlow ML (Partec GmbH, Muenster, Germany), equipped with a blue solid state laser (488 nm, 200 mW), a UV Mercury lamp HBO (100 long life, 100 W), a red diode laser (635 nm, 25 mW), a green solid state laser (532 nm, 50 mW) and a CCD camera was used. Cluster analysis identified T cell dynamics occurring in immunological aging: loss of naïve cells with accumulation of memory cells and, in particular, increase of subsets characterised by tendency to effector phenotype (CD95+ CD127-). PCA was able to cluster donors with different age on the basis of flow cytometric profile and, in particular, to identify T cell subsets that best characterise a specific group of subjects and that most contribute to the total variance of the entire system. This led us to determine that CD4+ and CD8+ T cells from young donors were mainly composed by CD45RA+CCR7+ naïve T cells expressing CD127 and CD38 but lacking CD95 while centenarians displayed the presence of central (CD45RA-CCR7+) and effector memory (CD45RA-CCR7-) populations in CD4+ T cell compartment and preferential expansion of the CD127-CD95+CD38- effector memory subset in CD8+ T cells. Our data indicate that bioinformatic softwares could be used to analyze multicolor flow cytometric data and to simply identify groups of subjects on the basis of cellular subsets obtained by combination of antigens.
40 BIOINFORMATICS DATA STANDARDS FOR FLOW CYTOMETRY
Ryan R. Brinkman1, Josef Spidlen1, Adam S. Treister2, Clayton Smith1, Michael B. Ochs3, Robert Gentleman4, Charles Schmitt5, Perry Haaland5 1British Columbia Cancer Research Centre, Terry Fox Laboratory, Vancouver, British Columbia, Canada; 2Tree Star, Inc., Ashland, Oregon; 3Fox Chase Cancer Center, Philadelphia, Pennsylvania; 4Fred Hutchinson Cancer Reserch Center, Seattle, Washington; 5BD Technologies, Research Triangle Park, North Carolina
We are developing free, open source and commercial software compatible bioinformatics standards and software tools for flow cytometry. The scope of this project includes development of an ontology, a data base schema, statistical and visual analysis tools, and a gating standard in the Extensible Markup Language (XML). The gating standard is presently our most well-developed component. Gating in flow cytometry is a process for defining a boundary that delineates the characteristics of particles for further analysis or sorting. During gating users define regions around a group of events of interest and then choose to include or exclude these events using some form of Boolean logic. Although flow cytometry has a successful data format standard, there is no shared representation of gates. This prevents a variety of collaborative opportunities to recreate experimental methods and results. We have developed a proposal on how to form gate definitions that can facilitate the interchange and validation of data between different software packages, and provide the means to better integrate methods with results in reporting. Specifically, we have developed a detailed description of the gating specification, a W3C Schema usable to validate XML documents, user documentation, and a set of examples of gating XML files. A software tool that implements the specification includes functionality to read a Flow Cytometry Standard data file, an accompanying XML file which describes the gates of interest, and the ability to process this information to provide descriptive statistics. Robustness problems are especially serious in geometric computation, since numerical errors can propagate into the combinatorial computations and result in complete failure of the algorithm. Our example implementation uses algorithms which are based on a user-definable precision model and contains code for robust geometric computation. As a result, the software tool will be useful to validate compliance of alternative software tools that implement the gating standard. The gating specification currently supports gating in n dimensions, including rectangular gates (e.g., range gates, 3D box regions, and n-dimensional hyper-rectangular regions), polygon gates, ellipsoid gates, decision tree structures and Boolean collections of the any of the types of gates. Support for platform independent validation of 2D gates is available from the JTS Topology Suite, and support for higher dimension polytopes through platform specific implementations based on Qhull.
41 PLASTICITY OF THE TUMOUR CELL GLYCOCALYX
Paul J Smith1, Emeline Furon1, Sally Chappell1, Marie Wiltshire1, Robert A Falconer2, Laurence Patterson2, Andrew Goater3, David Morris3, Julian PH Burt3, Rachel J. Errington4 1Cardiff University, Cardiff, Wales, United Kingdom; 2Bradford University, Institute of Cancer Therapeutics, Bradford, West Yorkshire, United Kingdom; 3University of Wales, Bangor, Institute of Bioelectronic and Molecular Microsystems, Bangor, Gwynedd, United Kingdom; 4Cardiff University, Medical Biochemistry, Medicine, Cardiff, Wales, United Kingdom
Phenotypic plasticity (PP) in tumour cell populations has the undesirable potential to maximise Darwinian fitness for the selection of metastatic and drug-resistant variants. Changes in surface carbohydrate expression have been implicated in this process - the surface glycocalyx altering cell behaviour within a multicellular environment and assisting metastatic spread through enhanced cell detachment. Polysialic acid (PSA), providing polyanionic cell-surface decoration of the neural cell adhesion molecule (NCAM), is thought to be associated with the property of the early dissemination of cells from the primary tumour mass of small cell lung cancer (SCLC) - a common metastatic cancer expressing chemoresistance. Our aim was to explore the plasticity of the glycocalyx, and NCAM decoration in particular, together with the impact on gene expression and cellular dielectric properties. We have used a SCLC model (NCI-H69) and substrate adhesion as a selective principle to provide extremes of reversible phenotypic behaviour reflecting adherent versus non-adherent growth. We found reduced PSA-decoration of NCAM in adherent cells using flow cytometry and confocal imaging. PSA decoration could be re-gained by the growth of adherent cells on non-attaching hydrophobic surfaces without any induction of cell death. PSA reduction was accompanied by a downregulation of the critical glycolytic pathway genes GNE and FUT8, rather than modulation of specific polysialyltransferase genes. The reductions in NCAM decoration observed in vitro were re-iterated when cells were grown as mouse xenografts. The in vitro changes were accompanied by an increase in cytoplasmic membrane permittivity, but no change in zeta potential, for adherent cells as determined by electrokinetic analysis and multishell modelling. We outline a new probeless approach analysing the metastatic phenotype for diagnostics and drug screening purposes. There was no evidence that PP acted to modify pathways for cell cycle control, multi-drug resistance or tumour growth potential per se. However, cDNA microarray analysis revealed that genes modulated during acquisition of the adherence phenotype were linked through VEGF, with significant down-regulation of pro-metastasis, angiogenesis and ECM-related genes. Furthermore, the most prominent proteoglycan expression gained upon acquisition of adherence was glypican-3 - the encoding gene GPC3 being a potential tumour suppressor in SCLC. We conclude that PP can reversibly generate cellular phenotypes with elevated metastatic potential without recruiting de novo drug resistance - providing new targets for therapeutic control.
42 LIPID RAFTS REGULATE PDGFR CLUSTERING, ACTIVATION, INACTIVATION AND DOWNSTREAM SIGNALING IN A CELL CONFLUENCE-DEPENDENT MANNER
György Vereb1, László Ujlaky-Nagy1, János Szöllõsi1 1University of Debrecen Medical and Health Science Center, Debrecen, Hungary
PDGF receptors are transmembrane tyrosine kinases that play an important role in the development and proliferation of glial tumors. Key events in their activation are di- (oligo)merization followed by trans-phosphorylation and downstream signaling cascades. Our aim was to reveal how cell confluence-dependent PDGFR activation is regulated by the molecular environment of receptors in the cell membrane. PDGF receptors were labeled with immunfluorescence. Their spatial arrangement and relationship to lipid rafts decorated with fluorescent choleratoxin B subunits (CTX-B) were determined by confocal laser scanning microscopy. Intracellular calcium levels as a measure of receptor activation in response to PDGF were measured with ratio videomicroscopy. The phosphorylation of receptors was assessed with anti-phosphotyrosine antibody in Western-blot and in situ immunofluorescence experiments. The glioblastoma cell lines A172 and T98G express primarily PDGFR beta. The number of receptors in the cell membrane increased as cell cultures reached confluence. Parallel to this, calcium responses evoked by PDGF were 2-phased and prolonged in an increasing portion of cells. In contrast, PDGFR mRNA levels decreased with confluence, while the rate of spontaneous internalization increased. Receptors showed a non-random, clustered distribution in the cell membrane. The overlap of receptor clusters with CTX-B-labeled lipid rafts was substantial. The cross-correlation coefficient characterizing the overlap increased with cell confluence. Furthermore, receptors showed higher relative phosphorylation in rafts than outside rafts. Interestingly, PDGF stimulation increased PDGFR phosphorylation much more in the non-confluent cells. However, inhibition of tyrosine phosphatases reverted this situation and the larger extent of spontaneous, as well as ligand-induced phosphorylation in confluent cells became apparent. Crosslinking of the lipid rafts by CTX-B at 37 C led to the aggregation of lipid rafts and sequestration of PDGFR clusters from them. Reducing the cholesterol content of the cell membrane by methylbeta-cyclodextrin dispersed lipid rafts and PDGFR clusters, decreased their overlap, and almost completely abolished phosphorylation and calcium response to PDGF stimulus. We conclude that raft localization of PDGFR has a functional consequence and is linked to regulation of proliferation as cells reach confluence inasmuch as both the receptor and tyrosine phosphatases are increasingly clustered in lipid rafts upon reaching confluence, whereby a greater turnover of the receptors´ activation cycle allows a more efficient downstream signaling.
43 DEVELOPMENT OF A NEW METHODOLOGY AND TOOLS FOR PREDICTIVE ANALYSIS OF CYTOMIC DATA: FINDING COMBINATIONS OF IMMUNOPHENOTYPIC PARAMETERS WHICH CAN PREDICT THE OUTCOME OF SEPTIC SHOCK PATIENTS
Jorge Monserrat1, Eduardo Reyes1, Alfredo Prieto1, Angela Hernández1, Hugo Barcenilla1, Raul De Pablo2, David Diaz1, Cristina Sánchez1, Guillermo Revilla1, Melchor ÁLvarezMon3 1Alcala University, Immune system Diseases and Oncology Laboratory, CNB-CSIC R&D Associated Unit, Alcala de Henares, Madrid, Spain; 2Hospital Universitario Príncipe de Asturias, Unidad de Cuidados intensivos, Madrid, Spain; 3University Hospital “Príncipe de Asturias”, Immune system Diseases and Oncology Service, Alcala de Henares, Madrid, Spain
Multi organic dysfunction syndrome secondary to septic shock is the main cause of death in intensive care units (ICU). It is difficult to predict the risk of death of septic shock patients. Objective: To find a group of inmunophenotypic variables that could predict the outcome of septic patients at the moment of admission in the intensive care unit. Materials y Methods: We have studied peripheral blood lymphocytes from 34 septic shock patients and 36 healthy controls. Peripheral blood sample extraction was performed at the moment of admission in the ICU. Immunophenotypic studies of the main lymphocyte populations (CD3, CD4, CD8, CD19, and CD56) in combinations of tour colors with activation markers (CD69, HLA-DR, CD25, CD38, CD45RA, CD45RO, CD71, CD23, CD57), coestimulation (CD28, CD80, CD86, CD40L, CD40), cell adhesion (CD11a, CD11b, CD11c, CD31, CD62L) and apoptosis (CD95). Measurements were optimized to maximize the precision of the cytomic measurements because accurate measurement of cytomic parameters is essential for its accurate predictive value. Results: After multiparameter analysis we obtain a data base of 235 phenotypic quantitative variables. We applied algorithms to convert these quantitative data into qualitative data (-, 0. +) needed to start the predictive value analysis. Cut off values were adjusted to obtain the maximum discrimination power. We also designed another algorithm to establish a ranking of phenotypic variables based on the differences of their values between groups of patients with opposite outcomes. Based on the ROC curves of individual variables we pre-selected the variables with the highest predictive value. We designed a tool to generate ROC curves by combining several immunophenotypic variables. We established the desired levels of sensitivity and specificity for the prediction of the outcome. Three criteria were considered to select the combination of variables to include in the prognostic definition: 1 to include the minimum number of variables, 2 the predictive value of each variable and 3 the ability to complement the predictive value of another variables in the combination. We tried several variable combinations until we find the simplest combination of variables to predict the out come of the septic shock patients. Conclusion: The methodology and tools for predictive analysis of cytomic data can find combinations of immunophenotypic parameters which predict the outcome of septic shock patients. The methodology developed is useful to construct combinations of cell parameters with predictive value.
44 STATIC MAGNETIC FIELDS STIMULATE SKELETAL MUSCLE DIFFERENTIATION
Dario Coletti1, Maria Cristina Albertini2, Sergio Adamo3, Laura Teodori4 1University of Rome La Sapienza, Histology and Medical Embryology, Rome, Italy; 2Institute of Biochemistry G. Fornaini, Urbino, Italy; 3University of Rome La Sapienza, Rome, Italy; 4ENEA - Casaccia, Division of Toxicology, Rome, Italy
The development of new strategies aimed to enhance skeletal muscle differentiation is important in order to obtain large amounts of muscle in vitro for tissue engineering applications and for therapeutic applications. Very little is known on the biological effects of static magnetic fields (SMF) on living cells. To assess the effects of SMF on differentiating skeletal muscle cells, we cultured rat L6 myoblasts in the absence or presence of SMF and induced them to differentiate, by lowering the serum concentration of the culture medium, in the absence or in the continuous presence of SMF. We noticed a remarkable hypertrophic effect exerted by SMF on skeletal myotubes. This effect was observed independently from expression changes and nuclear translocation of myogenin, a pivotal regulator of myogenesis. Given the importance of cell-cell interaction and alignment during muscle cell fusion into multinucleated myotubes, we investigated whether SMF could affect the cytoskeletal organization in this experimental model. By phalloidin-FITC labeling we detected SMF-mediated effects on actin stress fibers consisting in a reorganization of actin filaments observed in the differentiating myoblasts exposed to SMF. At later differentiation stages, the actin filament reorganization resulted in a different cell orientation and cell-cell interaction in cultures exposed to SMF as compared with the control. In addition, by image analysis at single myotube level we demonstrated that MF determined a higher actin content in respect to the control. We have recently reported that phospholipase D (PLD) plays a crucial role in remodelling the actin cytoskeleton, a process ultimately affecting skeletal muscle differentiation in vitro. By incubating the cell cultures in the presence of 0.5% 1butanol, a specific PLD inhibitor, we abolished the SMF effects on actin accumulation and muscle differentiation, so demonstrating that SMF effects on muscle cells are PLD-dependent. We observed a robust differentiation of muscle cells when exposed to SMF even in the presence of TNF-alpha, a cytokine known to potently inhibit myogenesis in vitro and in pathological conditions such as cachexia. In conclusion, we here show that SMF can enhance skeletal muscle differentiation and rescue differentiation in the presence of TNF-alpha. SMF do not seem to alter the genetic program activated by low serum levels thus likely triggering epigenetic mechanisms in muscle cells. We provide the first data showing that SMF act on PLD function and affect the actin cytoskeleton facilitating the progress of cell maturation toward the myocyte phenotype. The evidence that SMF can contrast the cytokine-dependent inhibition of muscle differentiation represent a hint for therapeutical applications.
45 A SYSTEMATIC APPROACH TO ANALYZING CHANGES IN PROTEIN SUBCELLULAR LOCATION DURING THE CELL CYCLE
Elvira Garcia Osuna1, Margaret H. Fuhrman2, Jonathan W. Jarvik3, Robert F. Murphy4 1Carnegie Mellon University, Biomedical Engineering, Pittsburgh, Pennsylvania; 2Carnegie Mellon University, Biological Sciences, Pittsburgh, Pennsylvania; 3Carnegie Mellon University, Biological Sciences, Mellon College of Science, Pittsburgh, Pennsylvania; 4Carnegie Mellon University, Biomedical Engineering, Carnegie Institute of Technology, Pittsburgh, Pennsylvania
Proteomics is the study of all aspects of protein behavior on a comprehensive basis. Current work in this field includes systematic analysis of structure, expression levels, and interactions; and these projects will provide critical data for understanding and modeling cell and tissue behavior. Knowledge of the subcellular location of each protein is equally important to this task. Automated methods of determining protein location patterns from fluorescence microscopy have therefore been developed and shown to work well for static 2D and 3D images. However, little work has been done to systematically describe how location patterns change over the cell cycle. We have therefore used automated microscopy to construct data sets of 2D time-lapse images of 3T3 cell lines expressing different proteins tagged with Green Fluorescence Protein (GFP). These cell lines were constructed using CD-tagging as described previously [J.W. Jarvik et al. BioTechniques 33:852-867]. The cells were also stained with Hoechst 33342 to label DNA so that the cell cycle stage of each cell could be determined. A third fluorescence channel was used to estimate cellular autofluorescence, allowing the GFP fluorescence value for each pixel to be corrected for the contribution of autofluorescence. As an initial approach to determining whether the distribution of a given protein changes during the cell cycle, images for each protein were separated into sets of G1 and G2/M cells and a sensitive hypothesis test was performed to determine whether the distribution of GFP was statistically distinguishable between each pair of sets. The basis for this test was the well-characterized set of Subcellular Location Features (SLF) that we have previously developed for comparison and classification of protein patterns [R.F. Murphy, Cytometry 67A:1-3]. The results indicate that, as expected, a number of proteins undergo significant changes in distribution as they progress from G1 to G2.
46 EVALUATION OF ANTI-CANCER TARGETS ON CIRCULATING TUMOR CELLS TO PREDICT THERAPEUTIC SUCCESS
Arjan Tibbe1, Joost Swennenhuis1, Gerald Doyle2, Dave Chianese2, Jan Keij2, Chandra Rao2, Mark Connelly2, John Verrant2, Leon WMM Terstappen2 1Immunicon Europe Inc., Enschede, Netherlands; 2Immunicon Corporation, Huntingdon Valley, Pennsylvania
The CellSearchTM System has been used in multi-center prospective studies to demonstrate that presence of tumor cells in blood of patients with metastatic carcinomas is associated with poor survival prospects. Failure to eliminate Circulating Tumor Cells (CTCs) after one cycle of therapy in these studies strongly suggests that these patients are on a futile therapy. Assessment of the presence of therapeutic targets on the tumor should enable the appropriate choice of therapy. Here we demonstrate that anti-cancer targets can be identified on CTCs before initiation of therapy. In the CellSearchTM System CTCs from 7.5 mL of blood are identified as Cytokeratin(CK)+, CD45- nucleated cells after EpCAM immunomagnetic selection. CTCs are identified by the CellTracks® Analyzer II at the upper surface of a cartridge where they are held by a magnetic field. Three of the six colors currently available in the analyzer are used for the identification of the CTCs and the others are available for further interrogation of CTCs. Fluorescently labeled antibodies that recognize treatment targets associated with known therapies such as HER2, IGF-1, Bcl-2 and EGFR can be assessed on the CTCs. For expression of therapeutic targets at the molecular level we demonstrated that CTCs can be preserved for cytogenetic analysis. After the fluid in the cartridge is removed the cells are fixed and maintain their original position. Hybridization conditions remove the fluorescent probes used for the original identification. Since the system knows their original position, the cells can be reexamined for the presence of probes of interest. The example shows a CTC and a leukocyte before and after hybridization (left and right from the dotted line) for chromosome 1, 7, 8 and 17. Grey color in the overlay shows the DAPI stained nucleus after hybridization. Expression level of specific drug related molecular targets can be detected on CTCs and can be assessed at the protein or gene level. In addition, effect of therapy can be assessed after administration of therapy by a change in the number of the CTC after days or weeks of therapy rather than months.

47 COMPREHENSIVE CHARACTERIZATION OF FLOW CYTOMETER FLUORESCENCE MEASUREMENT WITH A MINIMAL BEAD SET
Robert A. Hoffman1, Joseph Trotter2, Alan Stall3 1BD Biosciences, San Jose, California; 2BD Biosciences, San Diego, California; 3BD BioSciences Pharmingen, San Diego, California
Many instrument performance factors contribute to the accuracy and precision of flow cytometer measurements of fluorescence. The major factors are linearity, illumination uniformity, illumination noise, detection efficiency (Q), optical background (B), and electronic noise. Deviation from linearity (direct proportionality) is the measure of accuracy. The combined effect of illumination uniformity and illumination noise contributes a constant variance to the overall precision (CV) of fluorescence measurements independent of how bright the fluorescence signal is. Detection efficiency (the number of photoelectrons generated per fluorochrome molecule passing through the illumination beam), optical background and electronic noise are the primary factors that determine the CV´s of low-level signals. To simply measure all these fundamental instrument characteristics, we have developed a method of data acquisition and data analysis using as sample a mixture of beads with 3 different intensity levels (dim, midlevel and bright). Linearity is measured using the dual pulse method (ref. 1) by measuring the ratio of median channel of two bead intensities at varying photomultiplier (PMT) voltages. Electronic noise is determined from the broadening of a population CV as the PMT voltage is decreased. The contribution of illumination variability to measurement variance is estimated from the bright bead CV. Q and B (ref. 2) are determined from the CV´s of the midlevel and dim beads respectively after correcting for electronic noise and illumination variance. Knowledge of the intrinsic bead (sample) CV is necessary in order to perform an accurate instrument characterization. Methods to determine the intrinsic bead CV will be presented. We will also show examples of instrument characterization using the 3-bead method and show how the measured characteristics can be used to predict performance of a wide variety of applications. REFERENCES 1. Bagwell, C. B., Baker, D., Whetstone, S., Munson, M., Hitchcox, S., Ault, K. A. and Lovett, E. J. (1989). A simple and rapid method for determining the linearity of a flow cytometer amplification system. Cytometry 10, 689-94. 2. Chase, E. S. and Hoffman, R. A. (1998). Resolution of dimly fluorescent particles: a practical measure of fluorescence sensitivity. Cytometry 33, 267-79.
48 INITIAL RESULTS FROM NATIONAL SURVEY OF Q AND B VALUES
Eric Chase1, Raymond Lannigan1 1Cytek Development, Fremont, California
Initial measurements of Q and b values on several flow cytometers in the US are presented. The rapid method used to determine Q and b was discussed in Cytometry (Resolution of Dimly Fluorescent Particles: A Practical Measure of Fluorescence Sensitivity; E.S. Chase and Robert Hoffman; Cytometry, 33:267). Duke FC3M beads were used for the data. Sources of error in the Q and b measurements are presented: log amp nonconformity, spectral mismatch between the hard dyed beads and target dyes, filter variation from instrument to instrument, and MESF assignment of the beads themselves. Measured Q values are compared to estimates of Q values calculated from the design of flow cytometers and the dye characteristics. Estimated Q values are within a factor of 2 of observed values. Ratios of calculated Q values between FL1 and other channels were used to estimate the accuracy of PE MESF assignments by various bead manufacturers. Calculated ratios of Q are expected to be more accurate than the calculated values. Sources of the large variance of Q from instrument to instrument are discussed.
49 DATA INTEGRITY AND REPEATABILITY IN CYTOMETRIC MEASUREMENTS
William Ortyn1, David Basiji1, Brian Hall1, Richard Bauer1, Cathleen Zimmerman1, David Perry1, Keith Frost1, Richard Esposito1, Thaddeus George1, Philip Morrissey1 1Amnis Corp., Seattle, Washington
The need for repeatable cytometric measurements from day to day and between instruments is important for research applications, especially where conclusions are drawn from the analysis of numerous samples taken over a long period of time or across multiple instruments. Instrument variability clouds results leading to hidden costs where false conclusions are drawn or more testing is required to confirm findings. As analytical cytometry moves into clinical screening applications, decreasing instrument variability and ensuring instrument parameters are operating within designed limits is paramount for decreasing morbidity and lowering treatment costs through increased sensitivity and specificity of testing. Ensuring data integrity can be complex as many factors are involved in the precision of cytometric measurements. This is especially true for image-based instruments where several hundred features may be measured on a single cell. The variation of feature measurements is highly dependent on multiple operating parameters of an instrument and can exhibit non-linear behavior due to thresholding techniques employed in segmentation, feature calculations and classification. An ideal methodology for instrument data integrity testing would include standardized tests, low cost test samples, parameters with diagnostic significance, automated recording of results and limit checking and a comprehensive suite of tests. In this presentation we describe the Automated Systematic Suite of ImageStream Tests (ASSIST). ASSIST is a set of comprehensive calibrations, tests and limits employed by the ImageStream system to ensure the instrument is operating within normal limits. We describe the operation of ASSIST which is conducted daily on a low cost engineered bead sample run concurrently with cells during operation of the instrument. ASSIST is fully automated, requires less than ten minutes to complete and fully characterizes the performance of the instrument by measuring, setting and verifying over 2000 parameters. We describe several tests and calibrations from a suite of tests including those used to automatically perform two axis excitation laser alignment, test brightfield illumination uniformity, calibrate pixel gain and offset, measure spatial alignment of key optical elements, characterize fluidic core stability, test detector linearity and measure image collection modulation transfer function. The comprehensive set of tests incorporated within ASSIST provides the basis for quality control in the production process, requalifies the instrument after field service actions and provides an essential step toward assuring data integrity and repeatability in cytometric measurement.
50 ABSOLUTE FLUORESCENCE CALIBRATION: THEORY AND PRACTICE
Ian Theodore Young1, Yuval Garini1, Bart J. Vermolen1, Guus Liqui Lung1 1Delft University of Technology, Department of Imaging Science & Technology, Faculty of Applied Sciences, Delft, Netherlands
While fluorescence microscope systems remains an essential tool in modern biology and medical work, no compact instrumentation has been developed for the rapid calibration of such systems. Almost invariably results are presented in terms of the [AU], “arbitrary units”. To remedy this situation we have developed a small, portable instrument
-the size of a microscope slide - that uses low-power LEDs at different wavelengths to produce calibrated amounts of light. The instrument through a USB connector - is controlled by a computer so that the current to the selected LED can be swept through an increasing range of values. The amount of light measured by the microscope’s total imaging system (lenses, filters, EO sensor, and digitizer) is then recorded to provide a “current in, digital value out” calibration. Further, the current can be translated easily to optical power and thus photons per second at the chosen LED wavelength. We will 1) present a straightforward theory of fluorescence production, 2) describe the calibration of the system that we have built, programmed and tested for accuracy and precision, and 3) compare it to results for fluorescence calibration beads with “known” numbers of fluorescent molecules.
51 QUANTITATIVE CHARACTERIZATION OF CONFOCAL MICROSCOPE PERFORMANCE
Edward H. Cho1, Stephen J. Lockett1 1SAIC-Frederick, Frederick, Maryland
The confocal microscope is now in wide-spread use for quantitatively analyzing molecular pathways inside living cells, and therefore convenient characterization of its performance is essential. However, methods developed to date for evaluation confocal microscopes are generally rather time consuming to implement and it is hard to compare different instruments because they do not yield measurements in absolute terms. Thus, we built a highly stable, uniform and isotropically-emitting light source with an intensity equivalent to a dim, fluorescence-labeled cell sample for calibrating the emission light path of optical microscopes. The source consisted of a battery-driven light emitting diode placed behind a near-Lambertian diffuser and housed inside a coverslip bottomed 35 mm cell culture dish. Since the emission from the source was both uniform and isotropic, the image intensity did not vary significantly as a function of the distance from the source to the objective lens. This had the major practical advantage that the same intensity was obtained without any precise adjustment when the source was removed from and replaced on the microscope. We mathematically modeled the emission light path of laser-scanning confocal microscopes using the Poission and Gaussian distributions to represent photon loss and amplification noise respectively. The model enabled us to derive procedures for measuring the absolute photon detection efficiency, dynamic range, linearity, uniformity over the detection area, amplification noise and background noise. Analysis of light source images acquired using a very common confocal microscope model showed that 0.3% of photons emitted from a sample are recorded in the image. This was as high as can be expected given the inherent limitations of the optical components and photomultiplier tubes (PMT). As expected, image intensity was proportional to intensity from the light source and the efficiency of the confocal microscope was independent of PMT gain. However, interestingly amplification noise was proportional to gain, leading us to demonstrate that the highest dynamic range is achieved with relatively low gain and 12-bit digitization. Practical applications of the light source for checking the transmission of optical components in the emission light path were tested by exchanging different components (e.g. objective lens, emission filters, dichroic mirrors) in the emission light path. Funded by NCI Contract NO1-CO-12400.
52 MEASUREMENT OF STABLITY AND PRECISION OF LIGHT DETECTION IN OPTICAL MICROSCOPY
Tytus Bernas1, Elikplimi KWAKU Asem2, J. Paul Robinson3, Bartlomiej Rajwa4 1Purdue University, Bindley Bioscience Center, West Lafayette, Indiana; 2Indiana University, Pharmacology, School of Medicine, West Lafayette, Indiana; 3Purdue University, Basic Medical Sciences & Biomedical Engineering, West Lafayette, Indiana; 4Purdue University, Basic Medical Sciences,Veterinary Medicine, West Lafayette, Indiana
Currently available techniques of calibration and standardization of optical microscopes provide estimation of stability and measurement precision (noise) of an imaging system at single level of signal. In addition only the total noise level, but not its characteristics (spectrum), is measured. We propose a novel technique for estimation of time variability of signal and noise in microscopic imaging. The method requires registration of a time series of images of any stationary microscope specimen. The analysis is multi-step process, which separates monotonic, periodic and random components of pixel intensity change in time. The technique allows simultaneous determination of dark, photonic and multiplicative components of noise. Consequently, confidence interval (noise) is obtained for each level of signal along with the respective confidence interval (noise). The proposed algorithm can be applied to detect mechanical instability of a microscope and instability of illumination source. In addition, photobleaching kinetics may be characterized at each level of fluorescence intensity. The technique is validated using datasets of biological images with known signal and noise characteristics. The method is then applied to assess performance of photomultipliers in a confocal microscope and CCD cameras in a wide-field microscope.
53 IMPROVING SINGLE MOLECULE FÖRSTER RESONANT ENERGY TRANSFER MEASUREMENTS BY PULSED INTERLEAVED EXCITATION AND FLUORESCENCE CORRELATION SPECTROSCOPY
Steffen Rüttinger1, Benedikt Kraemer2, Martin Roos3, Eberhard Hildt3, Felix Koberling2, Rainer Macdonald1 1Physikalisch-Technische Bundesanstalt, Berlin, Germany; 2PicoQuant, Berlin, Germany; 3Robert Koch-Institut, Berlin, Germany
Förster Resonant Energy Transfer (FRET) is a well-known effect with first applications as nanometric spectroscopic ruler dating back to 1978 [1]. With the recent advances in sensitive fluorescence detection techniques single pair FRET (spFRET) is used to detect e.g. co-localization of molecules or to measure conformational changes on a single molecules. However, in spite of the strong distance dependency of the energy transfer efficiency quantitative results are difficult to obtain and FRET experiments in solutions are generally interpreted qualitatively. One problem is the so called zero efficiency peak [2] caused by FRET pairs with missing or non fluorescent acceptor [3]. Furthermore, the analysis is hampered by the presence of crosstalk due to imperfect spectral filtering, direct excitation of the acceptor as well as not directly measurable excitation and quantum efficiencies of the fluorophores and sensitivities of both detection channels To identify molecules diffusing across the interaction volume and exhibiting non-fluorescent or missing absorbing dye, we applied (dual color) pulsed interleaved excitation for FRET measurements [4] (PIE-FRET). Combined with time correlated single photon counting (TCSPC), the presence of a fluorescing acceptor is detected without relying on the occurrence of energy transfer. Contributions originating from the zero efficiency peak can be identified unambiguously and subsequently eliminated to obtain meaningful FRET-histograms. Since direct acceptor excitation, molecular brightness of donor and acceptor fluorophores and crosstalk or leakage is determined by analyzing the same data-set with FCS, all quantities required to interpret FRET-measurements correctly are available. To demonstrate the advantages of our approach, we investigated a poly-proline assay labeled with Alexa 555 and Alexa 647 as donor and acceptor, respectively. [1] L. Stryer., Ann. Rev. Biochem, 47:819–846, 1978. [2] A. Deniz et al., Proc. Natl. Acad. Sci. USA Biophysics, 96:3670–3675, 1999. [3] B. Schuler et al., Nature, 419:743–747, 2002;
A. Dietrich et al., Reviews in Molecular Biotechnology, 82:211–231, 2002; S. Weiss, Science, 283:1676-1683, 1999. [4] D. Lamb, Picoquant, 10th International Workshop 2004.
54 EXTENDED DEPTH OF FIELD IMAGING WITH THE IMAGESTREAM EDF IMAGING FLOW CYTOMETER SYSTEM
William Ortyn1, David Basiji1, Keith Frost1, Richard Bauer1, Richard Esposito1, Cathleen Zimmerman1, David Perry1, Philip Morrissey1, Thaddeus George1, Brian Hall1 1Amnis Corp., Seattle, Washington
Confocal microscopy provides the ability to synthesize an image of a cell from multiple focal planes bringing all features simultaneously into focus. This capability is desirable for a wide range of cell analysis applications including co-localization studies, quantifying the translocation of molecules between cellular compartments and the enumeration of FISH probes randomly located in a nucleus. In this presentation we disclose a technique to perform high speed, extended depth of field (EDF) fluorescence imaging in flow, whereby, imagery from thousands of cells is collected in less than a minute with the entire cell simultaneously in focus. We provide a theoretical treatment of the underlying mechanism and show the discrete steps in the process of generating EDF imagery. We demonstrate the effectiveness of the methodology by comparing large focus pans of several thousand beads collected with the standard ImageStream and the ImageStream EDF systems. Visual observation of both standard and EDF collection modes shows that the EDF method maintains good focus while the standard collection mode exhibits substantial blurring. We then analyze photometric and morphological bead parameters to quantitatively assess the benefits of the method. Finally, we apply the method to the enumeration of FISH probes in a comparative study. We show EDF and non-EDF cell imagery to visually demonstrate the benefits of the method and then apply an automated classifier to both image sets demonstrating significant increase in the efficacy of chromosome enumeration using the EDF imagery.
55 ABOUT A NOVEL LIGHT MICROSCOPE ARCHITECTURE
Rainer Uhl1 1Ludwig-Maximilians-Universitat Munchen, BioImaging Center, Martinsried, Germany
Human Vision comprises a sequence of complex interactions between eye and brain. The microscope extends this domain into the microcosm. While conventional light microscopes are a mere extension of the optical apparatus of the eye, modern imaging microscopes can assume many more functions usually associated with the retinal part of the eye and the brain itself. They thus comprise the front-end of a computer-based intelligence and turn the microscope into a quantitative measuring device. We will present a novel light microscope architecture (iMIC), which aims at the highest possible degree of automation and high throughput. In sharing this goal with other approaches, the iMIC isn´t restricted to the most fundamental imaging techniques, instead it constitutes a seamless integration of all conceivable high end imaging and sample manipulation techniques into a single, highly versatile instrument. These include: • Time-lapse studies with genuine real-time performance; • FRET measurements at two freely selectable emission wavelengths; • TIRF measurements with dynamically variable TIRF-
angle; • FRAP or other techniques (e.g. laser microdissection, optical tweezers) requiring the positioning of a laser beam in the object field; • Widefield, structured illumination or slit-scan confocal measurements with incoherent illumination at any freely selectable wavelength between 340 and 680 nm. • Multispectral confocal laser-scanning with fully digital scan-control and close to theoretical sensitivity, and • Multiphoton excitation experiments with maximal photon collection efficiency.
56 CELL AND TISSUE RELATED SCANNING FLUORESCENT VIRTUAL MICROSCOPY USING A DEDICATED DESK TOP SCANNER SYSTEM
Bela Molnar1, Viktor SEBESTYEN Varga2, Attila Tagscherer3, Tibor Virag4, Viktor Kamaras4, Zsolt Tulassay2 1Semmelweis University II, Budapest, Hungary; 2Semmelweis University, II.Dept. of Medicine, Cell Analysis Lab, Budapest, Hungary; 3Semmelweis University of Medicine, Budapest, Hungary; 43DHISTECH LTD, Budapest, Hungary
Background and aims : Scanning fluorescent microscopy on traditional microscopes are slow, inconvenient and hardly limited in the automation opportunities. We aimed to develop a desk top size fluorescent slide scanner for slide loading and identification (upto 10 slides), including epifluorescent illumination with enhanced filter numbers (8), with increased fluorescent light source life time and and a modular construction for application specific camera selection. Methods:In a public.private partnership (Semmelweis Uni.- 3DHISTECH LTD., Budapest, Hungary) a desk top, slide loading and scanner mechanics was developed incorporating traditional optical elements from a high quality microscope ( Axioplan 2 Imaging, Carl Zeiss, Germany) without any ocular. The system performance was tested from the following point of views: automated slide loading, slide identification, region of interest determinations, focusing, multichannel slide scanning. The system´ fluorescent quantitative calibration was done with the X-cyte fluorescent light source without and with a special bead based algorythm or using fluorescent slides( FITC, Rhodaminm Hoechst). The linearity and quantitative accuracy was tested using fluorescent beads. Routine software applications in cytology and histology were developed towards pseudocoloured visualisation, counting, TMA in a virtual microscopy environment. Results: Systems mechanics was robust to load and identify the barcode labelled slide set (1-10). The systems linearity was proven in the range of 1 to the 106. The CV of the measured PI labelled lymphocyte slide was 4.3%, CV of the bead measurements was below the given exclusion criterias using the fluorescent slide based white field compensation, only. Multichannel , pseudocolorised cytology and histology virtual microscopy was easily applied for visual analysis. Transmitted and fluorescent TMA evaluation was successfully implemented. Conclusions: Developing a desktop fluorescent slide scanner and sophisticated virtual microscopy programms the traditional microscopy based scanning fluorescent microscopy could be enhanced for everday use in fluorescent cellular and histology research.
57 AFFORDABLE CYTOMETRY FOR INFECTIOUS DISEASE DIAGNOSIS AND MONITORING
Howard Shapiro1, Nancy Perlmutter2 1Howard M. Shapiro, M.D., P.C., West Newton, Massachusetts; 2Howard M. Shapiro, M.D., P.C., Allston, Massachusetts
The HIV epidemic now raging in Africa, Southeast Asia, and other resource-poor areas of the world is accompanied by epidemics of tuberculosis (TB) and malaria; many patients are simultaneously infected with more than one of these diseases, and it is thus essential to develop simple, affordable technology for diagnosis and monitoring of all three. Flow cytometry has been the “gold standard” method for determining the CD4+ T cell count in HIV-infected patients; in recent years, simpler imaging technology has been shown to produce equivalent results. Although the “gold standard” methods for diagnosis of TB and malaria are based on direct detection of the infectious agent by transmitted light or fluorescence microscopy, cytometric approaches to diagnosis and monitoring of these diseases have largely been rejected as too expensive. Microscopy-based methods rely heavily on the morphology of intraerythrocytic parasites in the case of malaria and on the morphology of bacterial colonies in the case of TB; however, flow cytometry has shown that the DNA and RNA content of malaria parasites changes predictably with their morphologic stage, and flow and image cytometry suggest that the selectivity of fluorescent stains for TB is primarily dependent on the permeability of the Mycobacterial cell wall to nucleic acid dyes. Mycobacteria and malaria parasites stained with appropriate dyes can readily be detected by a small, simple, inexpensive low-resolution image cytometer incorporating high-intensity light-emitting diodes (LEDs) as light sources for fluorescence excitation, camera lenses or low-power microscope optics for light collection, and a charge-coupled device (CCD) or metal oxide semiconductor (CMOS) camera for detection. This could provide more rapid and precise diagnosis of disease, determination of drug susceptibility, and assessment of therapeutic effects than is now possible even in affluent countries. A similar instrument should also be usable for CD4+ T cell counting and a variety of other applications in immunology and microbiology. Portions of this work were supported by NIH Grants AI060272, AI063833, and HL080898.
58 ENABLING REPETITIVE PROLONGED MEASUREMENTS OF NON-TETHERED NONADHERENT INDIVIDUAL CELLS IN A MICROTITER PLATE
Mordechai Deutsch1, Naomi Zurgil1, Elena Afrimzon1, Yana Shafran1, Assaf Deutsch1 1Biophysical Interdisciplinary Schottenstein Center for Research and Technology of the Cellome, Physics, Bar Ilan University, Ramat-Gan, Israel
The use of non-adherent cells, primary cells or cell lines, in cell-based assays (whether in low- or high-throughput systems, or high content screening), is slow to appear, despite their tremendous importance in drug discovery and cell therapy. In order to monitor complex cellular responses to a variety of biological modulators, it is crucial to be able to trace temporal behavior of cells at a single cell resolution throughout various segments of time. While such requirements can be achieved using adherent cells grown on microtiter plates, it is impossible with non-adherent cells, without tethering. In the novel approach presented here, each of the wells within a multi-microtiter plate (96 wells or other) is fully padded with highly dense continuous array of addressable micro concave lenses, serving as PicoWells (PWs). A typical well of the 96well plate contains up to 70,000 PWs - each PW is designed to accommodate a single non-adherent living cell. Fluid, drug and reagent exchange in the wells is enabled, while keeping the individual cells at their original acquired locations. The approach presented in the current study enables, for the first time, the adaptation of the microtiter plate concept for the investigation of non-adherent cells without tethering, at a single cell resolution. Thus, repetitive, high-content signal and image analysis of the same non-adherent, non-tethered individual cells, which are subjected to bio-manipulations (drug or staining procedures), while maintaining their viability and identity, can be accomplished. This also allows the correlation between pre and post fixation measurements.
59 THE SHAPE OF THINGS TO COME: QUANTITATIVE ANALYSIS OF CELL MORPHOLOGY
Zachary Pincus1, Natalie A Dye2, Kinneret Keren2, Julie A Theriot2 1Stanford University, Biomedical Informatics, School of Medicine, Stanford, California; 2Stanford University, Biochemistry, School of Medicine, Stanford, California
Quantitative descriptions of cell shape are necessary for statistical analysis of morphological variability. While it is possible to define ad hoc metrics to quantify specific shape phenotypes, tools to intuitively describe and summarize trends in population morphology do not exist. We therefore sought a general method to describe cell shapes with parameters that are biologically meaningful, able to capture any form of shape variation, and not specified a priori in a potentially biased manner. From a given set of cells, we create a “principal component shape model” by performing principal components analysis on a signed distance map representation of the cell shapes. Such a shape model contains information about the average shape, the major modes of shape variance in a population (e.g. large vs. small, round vs. elongated, etc.), and the relative importance of those modes. Experimental evidence indicates that modes of shape variation so derived closely mirror qualitative descriptions of cell morphology used by biologists to describe a given cell type; thus these modes are quite intuitive. With such a model, the morphology of individual cells can be quantified, sets of images representative of a population can be produced, morphological variability between cell populations can be intuitively visualized and statistically compared. First, given a particular shape model, a cell shape can be decomposed into the relative contributions from each mode of shape variation. This transforms a shape into a small set of numerical parameters that describe the cell along intuitive axes that are, by construction, maximally descriptive for a given data set. Moreover, these axes can be visualized by using the shape model to synthesize shapes that describe the variation encoded by each shape mode. This visualization provides a useful and compact summary of the major morphological variation in a given set of cells, and provides a better summary of a large data set than a few “representative images”. Finally, quantifying cell morphology in an unbiased fashion allows us to answer open-ended questions such as “are cells of population X morphologically distinct from cells of population Y?” Cells can be plotted according to their shape parameters to visualize an entire data set and see general trends in cell shape across populations; such distributions of cell shape can also be statistically compared to measure differences between cell populations. These methods have allowed us to quantify, visualize, and statistically validate the effects of drug treatment on cell shape in Caulobacter and in fish epithelial keratocytes. Additionally, we have applied this analysis to movies of crawling keratocytes to understand dynamic shape-changing during cell crawling.
60 BUILDING GENERATIVE MODELS OF SUBCELLULAR LOCATION PATTERNS
Ting Zhao1, Robert F. Murphy1 1Carnegie Mellon University, Biomedical Engineering, Carnegie Institute of Technology, Pittsburgh, Pennsylvania
Accurate knowledge of the subcellular locations of all proteins will be necessary for a thorough understanding of cell behavior, both under normal conditions and in disease. Previous work has demonstrated that automated classifiers can be used to determine subcellular locations from fluorescence microscope images with high accuracy. However, assigning proteins to locations is not sufficient to simulate cell behavior because it does not provide models of the identified spatial distributions. We have therefore developed approaches to build object-based generative models of location patterns. We started by using cluster analysis to identify the types of possible subcellular objects in a large collection of cell images. Each image of a given pattern is then represented as a set of objects labeled with types, and the overall pattern is modeled by the statistical distribution of the number of objects of each type and the distributions of distances between the nucleus and the objects for each type. As an initial approach to converting this statistical model to a generative model, we formed images of a given pattern by randomly picking objects from real images according to their types and placing them at positions generated from the distance distribution. We have used this method to generate images of all major location patterns in HeLa cells. As a further advance, we built models that can generate the objects themselves. We synthesized objects in two steps, first generating shapes and then textures. The parameters necessary for these steps were learned from the image collection for a given pattern. The quality of the generated images was assessed by determining whether they could be recognized by an automated classifier built from the same collection. The work provides an important new capability for studies of protein location patterns.
61 IMAGE CYTOMETRY PROFILING OF CELL CYCLE PHENOTYPES IN GENOME-WIDE SIRNA KNOCKDOWN CELLS
Yan Feng1, Jonathan Hoyt2, Yong-Chuan Tao2, Timothy Mitchison3 1Novartis Institute for Biomedical Research, Genome and Proteome Sciences, Cambridge, Massachusetts; 2Cambridge, Massachusetts; 3Harvard Medical School, Systems Biology, Boston, Massachusetts
We used a multi-parameter imaging cytometry based assay and genome-wide siRNA knockdown to characterize genes and pathways that regulate cell cycle progression. A series of statistical methods, including supervised and unsupervised classification, and genome-wide screen normalization, were used to identify cell cycle stage of each individual cell and generate a profile for each gene knockdown. A series of tests were used to identify potential false-negative or off-target effects. System level analysis was then performed by putting the cell cycle profile of each gene knockdown into functional genomics context. Implication of new cancer drug targets will also be discussed.
62 IMAGE ANALYSIS FOR STRUCTURAL GENOMICS REVEALS NOVEL PROCESSES IN TUMOR PROGRESSION AND APOPTOSIS
Bart J. Vermolen1, Ian Theodore Young1, Sabine Mai2, Sherif Louis2, Vered Raz3, Yuval Garini1 1Delft University of Technology, Delft, Netherlands; 2University of Manitoba, Winnipeg, Manitoba, Canada; 3Leiden, Zuid-Holland, Netherlands
Major success has been achieved in recent years in understanding the function of the genome. It also became evident that the structure and organization of the genome in the nucleus is important, it changes along the cell cycle and during cancer progression. For structural and organizational studies to take place, it is required to apply markers, probe regions of interest (wetware), and acquire images (hardware), tasks that have reached a mature state. For successful interpretation, a last step has to be made: analysis of the images (software). To obtain quantitative results, the first two components (wetware and hardware) have to be taken into account in the software and algorithms. We studied the spatial organization of telomeres and centromeres. Telomeres were studied during the cell cycle of normal mammalian cells and after c-Myc deregulation and centromeres were studied in normal, senescent and apoptotic human mesenchymal stem cells. We will present the algorithms that were developed and some of the results. Novel processes have been discovered, including the cell-cycle dependence of the telomeres, telomere aggregates during tumor progression and the redistribution of centromeres during apoptosis.
63 MICRONUCLEI FORMATION, MORE THAN MEETS THE EYE? A MULTIPARAMETRIC HIGH CONTENT ANALYSIS STUDY USING LASER SCANNING CYTOMETRY
Raffi Manoukian1, Satin Sawant1, Gloria Juan1 1Amgen, Inc., Thousand Oaks, California
Genotoxicity leading to chromosomal damage during cell division is an important consideration when screening for novel small molecule compounds in vitro or for monitoring their effects in vivo. Chromosomal mutation not only leads to a genotoxic and cytotoxic state but also may play an important role in carcinogenesis. Under such conditions, chromosome fragments or lagging whole chromosomes accumulate in the cytoplasm in anaphase, as they are unable to reach the spindle poles during mitosis. These residual minute chromatin masses, which are adjacent to the larger main nucleus, are called micronuclei (MN). The presence of micronuclei in cells can thus be used as a means to quantitate chromosome damage. Recent work has shown that High Content Analysis (HCA) MN assays allow for a more automated, objective, and faster approach, and yet these and other studies were limited to a single cell line. Other groups have shown that using one cell line as a standard for MN could be misleading, as it seems that onset and severity of micronucleation vary greatly between lineages. In this study we examine multiple and more clinically relevant cell lines as well as white blood cells from the peripheral blood in an attempt to not only enumerate MN formation but to correlate it to multiple endpoints such as cell cycle modulation, DNA synthesis inhibition and apoptosis. This multiparametric approach can be achieved by performing high content analysis using laser scanning cytometry and quantitative imaging as the investigative platform. We demonstrate that HCA can extract more indepht information, resulting in a correlative matrix of MN formation, cell lineages and functional endpoints.
64 HISTONE HYPERACETYLATION CAUSES REPOSITIONING OF CENTROMERES AND TOPOLOGICAL REORGANISATION OF CHROMATIN IN HUMAN PROSTATE CANCER
Vicky Kyle2, Perry Maxwell3, Peter Hamilton3 1Queen’s University Belfast, Centre for Cancer Research and Cell Biology, Biomedical Imaging and Informatics, Belfast, Northern Ireland, United Kingdom; 2Napier University, Edinburgh, Biomedical Science, Edinburgh, Scotland, United Kingdom; 3Queen’s University Belfast, Pathology, Belfast, Northern Ireland, United Kingdom
Quantitative changes in nuclear chromatin and epigenetic status occur in prostatic neoplastic progression, suggesting a functional role for nuclear topology in tumour development. In vitro studies on normal and malignant prostate cell lines highlighted quantitative differences in the chromatin organisation of G0 phase nuclei using high resolution texture analysis. The basis for changes in chromatin phenotype in prostate cancer are unknown, however, we expect that histone acetylation may play a central role. The aim of this study was to explore the impact of Trichostatin A (TSA) induced histone hyperacetlyation on centromeric topology and chromatin organisation in prostate cancer cells. Prostate cancer cell lines LNCaP, DU145 and PNT1A were grown onto glass slides and treated with 0, 12 and 100 ng/ml TSA for 24 hours. High resolution computerised texture analysis was used to measure changes in chromatin phenotype. Centromeric FISH was carried out for chromosome 11 using a biotin labelled probe, labelled with an FITC anti biotin secondary antibody and the nuclei counterstained with propidium iodide. 2D measurements of intranuclear centromere position were made using Leica QWin. 3D Confocal microscopy was used to obtain serial optical sections of nuclei approximately 0.12µm apart. Serial sections were reconstructed using Analyze software (AnalyzeDirect) to reconstruct and render 3D composite images and a variety of measurements were made. It was shown that induced histone hyperacetylation by low dose TSA resulted in increased chromatin density and chromatin reorganisation. Untreated LNCaP nuclei show distinct centromeric topologies using 3-D FISH. The PNT1A and DU145 cell lines were most similar where the volume for centromeres was similar within and between nuclei. In trisomic nuclei, two of the centromeres were the same volume and one was approximately twice that size. The largest centromere was positioned equidistant from the two smaller sized centromeres and was closer to the centre of the nucleus. 2-D image analysis showed that increased chromatin density, was associated with concomitant rearrangement of chromosome 11 centromeres. In general, the centromeres separated, one moving to a central position while the other moved to a more peripheral location. Interestingly, when a third centromere was present, this did not impact the distance between the smaller centromeres, nor did its position change. The study of nuclear topology provides important insights into tumour development and the impact of epigenetic modifiers such as TSA on nuclear phenotype. In prostate cancer, cells show a unique centromeric arrangement for chromosome 11 which is modified following low doses of TSA which alter the global histone acetylation status of the genome.
65 LIGHT EMITTING DIODES (LEDS) AND RED DIODE LASERS FOR LOW COST MULTICOLOR FLOW CYTOMETRY
Robert A. Hoffman1, David W. Houck1 1BD Biosciences, San Jose, California
Multicolor flow cytometry is routinely done using UV, violet, blue and red lasers. With the exception of red lasers, the cost of these light sources is thousands of dollars each. LEDs are a potential alternative to lasers for the entire spectrum of UV and visible light sources. The main limitation of LEDs is the intensity of the illumination, which is limited by the brightness of the emitter (power per unit area) and cannot be increased by imaging the LED emission to a small spot. Compared to a laser focused to a spot size of 20ìm by 60 ìm, an LED with the same optical power is one hundredth as intense. The low LED intensity can be partially compensated for by taking advantage of the extended source and optimizing the optical and flow conditions. By increasing the time a particle spends in the excitation beam from 4 ìs to 40 ìs, a ten-fold increase in signal is obtained. With high power LEDs currently available, this provides integrated fluorescence signals equivalent to those generated by lasers with power in the 1- 10 mW range. LED wavelengths commonly available include 365, 405, 455, 470, 505, 530, 590, and 624 nm. For simplicity of light scatter measurements and high excitation intensity, a red diode laser with emission in the 635- 640 nm range is a good alternative at modest cost compared to a red LED. An additional feature of LEDs or red diode laser is the ability to be rapidly turned on and off, creating the possibility of flashing various excitation wavelengths at a particle as it passes a sensing zone in flow. Examples of 4 or more color analyses will be shown. The multicolor analyses include various combinations of immunofluorescence, DNA content, viability, side population for stem cells, and Indo-1 calcium response. Where particle event rates of a few thousand cells per second are adequate, LED excitation offers a wide range of application possibilities and flexibility at relatively low cost.
66 LOW COST LIGHT SOURCE & MINIATURE DETECTORS YIELD HIGH PERFORMANCE IN A SLOW-FLOW SYSTEM
Robert Habbersett1, Jimmy Parson1, Steven Graves2 1Los Alamos National Laboratory, National Flow Cytometry Resource, Los Alamos, New Mexico; 2Los Alamos National Laboratory, Bioscience, Los Alamos, New Mexico
We have evaluated a range of miniature, low-cost, low-power, easy to use detectors and light sources, and – quite frankly – were astounded by their performance in a simple slow-flow system (developed primarily for DNA fragment sizing), which has been embellished with forward and high-angle light scatter detectors, in addition to two fluorescence channels. In general, reducing the cost, complexity, and size of an analytical system is desirable, as long as performance is not seriously compromised. To build a low-cost truly portable instrument, these considerations become paramount. A central factor in this high-sensitivity system is the transit time, which was ~ 200 microseconds (limiting the throughput to < 5000 events/sec). Using our new digital data acquisition system (DiDAC-2), we present results - based primarily on Spherotech RCP-30-5A beads - to demonstrate resolution, sensitivity and dynamic range on par or better than state-of-the-art commercial cytometers. With excitation energy from a low-cost monochromatic light source (532 nm), inexpensive miniature Hamamatsu PMTs, and minimal analog electronics (prior to and within the DiDAC system) we demonstrate > 4 full decades of dynamic range on 24-bit area data, with sensitivity to < 70 MEPE, and with all 8 peaks baseline resolved in several emission wavelength ranges. Furthermore, 90 degree light scatter clearly distinguishes 1.87, 2.1 and 2.8 micron diameter polystyrene microspheres. Only low voltages are required for the pre-amps and PMTs with the total power used (outside of DiDAC) at < 2 W. This work was supported by NIH RR020064-01 and NIH RR001315-23
67 LOW COST HAND PORTABLE FLOW CYTOMETRY
Steven W. Graves1, Gregory Kaduchak1, Gregory R. Goddard1, Robert C. Habbersett1, Michael D Ward1, John C. Martin1, Mark Naivar1 1Los Alamos National Laboratory, National Flow Cytometry Resource, Los Alamos, New Mexico
The development of inexpensive highly portable flow cytometers will provide powerful solutions for medical diagnostics in third world countries and point of care testing in physicians offices as well as supply an analytical platform for homeland defense first responders. The creation of a truly portable low cost flow cytometer will require a holistic approach that addresses the primary drivers of cost and portability: the requirement for large volumes of sheath, a high intensity light source, and a high speed multiparameter data system. To develop such a system, we first addressed the requirement of sheath for hydrodynamic focusing by constructing a sheathless flow cytometer that uses acoustic energy to focus particles to the center of the flow cell without the concurrent acceleration that results from hydrodynamic focusing. This allows us to maintain the advantages of hydrodynamic focusing (e.g. precise analysis, resolution of free vs. bound probe) and offers additional key advantages such as high particle analysis rates at extended transit times as a result of the concentration of sample to the center of the flow stream. We will present data from the acoustically focused flow cytometer that demonstrates analysis of hundreds of microspheres per second with fluorescence CVs of approximately 5% with sensitivity and resolution approaching that of a conventional flow cytometer. Second, to demonstrate the advantages of extended transit times, we have used a miniature low cost laser source that uses approximately 0.5 watts of electrical power on a slow flow flow cytometer equipped with low cost miniature PMT modules. We will present data obtained from analysis of commercial fluorescent microspheres that demonstrate that this system can obtain fluorescence CVs of less than two percent and detect a few hundred fluorophores per particle with an optical train (detectors included) that costs approximately one thousand dollars. Third, the above systems have been married to a portable digital data acquisition platform (DiDac II) that has a simple path forward to a low cost miniature data acquisition system. Finally, we will present data on a prototype instrument that combines sheathless acoustic focusing with miniature low power light sources and miniature detectors critical steps in the development of a battery operated hand-held sheathless flow cytometer that will cost less than $5000, while providing the sensitivity, precision, resolution and particle analysis rates commonly associated with modern commercial benchtop flow cytometers. This work was supported by NIH RR020064-01, NIH RR001315-23 and DOE LDRD funding.
68 FAST AND PARALLEL MICROFLUIDIC OPTICAL SORTERS ENABLE SAFE AND QUICK PURIFICATIONS OF RARE CELLS
Ruud Hulspas1, Manish Deshpande1, John Gilbert1 1Cytonome, Boston, Massachusetts
An increased demand for obtaining large numbers of rare cells from human cell samples is driving flow sorter technologies towards new frontiers. Microfluidic particle switch based sorting does not require a droplet or aerosol phase, and can thus be designed to take place in fully enclosed systems. Hence, microfluidic sorting is the technology of choice when BSL-4, -3 and even BSL-2 conditions are required and when cells of interest are best identified by means of flow cytometry. Due to displacement of relatively large liquid volumes, reliable microfluidic switch sorting has been slow compared to droplet sorters. Recently, microfluidic switch technology has been developed to minimize the disruption in velocity due to fluid displacement.
Consequently, we have demonstrated single microfluidic switch sorting rates at 2000 sorts per second. Overall sample throughput and sort rates can be further increased through parallel implementation of this technology in which 10 to 100 microfluidic sorters are fabricated on a single chip. This paper discusses reliable sorting of human rare cell populations using a scalable, closed, high-throughput optical sorting system.
69 DESIGN OF A HIGH-THROUGHPUT BIOMEMS MICROFLUIDIC CYTOMETER/SORTER
James F. Leary1, Rashid Bashir2 1Purdue University, Basic Medical Sciences & Biomedical Engineering, West Lafayette, Indiana; 2Purdue University, Electrical/ Computer Engineering & Biomedical Engineering, Engineering, West Lafayette, Indiana
BioMEMS (Bio MicroElectroMechanical Systems) microfabrication technology is being designed, constructed, and tested for applications in genomics, proteomics, and drug delivery. A current limitation of BioMEMS microfluidic technology is overall cell throughput rates. A multidisciplinary team from our two laboratories is designing a novel, small, portable, high-throughput (> 100,000 cells/sec) exponentially staging system that can be used for these and other applications. The overall preliminary design (US patent filed and pending) consists of a disposable microfluidic chip of branching tree architecture for parallel and multi-stage processing. The system does not need to handle single cells in its initial fluidic stages. However, by the third or fourth fluidic stage, single cells can be sorted depending on the overall throughput rates and initial cell concentration. It is a closed system, thus eliminating biohazardous aerosols, and also facilitating sterility. The fluidic portion of the system (PDA-sized) can be placed, if desired, in a biohazard hood. The microfluidic chip is made of optically semi-transparent PDMS ((poly)dimethylsiloxane)), with built-in microfabricated, elastomeric valves. The excitation sources are small, inexpensive, super-luminescent LEDs (light emitting diodes) requiring only battery-level power. Photodetectors consist of avalanche photodiodes (APDs). The LEDs and APDs are arranged in patterns corresponding to the physical structure of the removable PDMS microfluidic chip which is placed between them. The present data acquisition system uses a National Instruments PXI data acquisition system with embedded controller running Real-Time LabView version 7.1 and 16-bit multifunction DAQ modules for digital signal processing and sort logic control. Preliminary data from this BioMEMS system will be presented as well as a discussion of the problems and promises of these new microfabricated approaches to flow cytometry and cell sorting.
70 A HIGHLY AUTOMATED PARALLEL SORTING (HAPS) SYSTEM THAT PROCESSES 2.5 X 109 CELLS PER HOUR UNDER THE CONTROL OF A SINGLE OPERATOR
Gary Durack1, Paul Weiss1 1iCyt Visionary Bioscience, Champaign, Illinois
Highly Automated Parallel Sorting (HAPS) can now be accomplished using a new type of cell sorting system that can process many times what is possible with a traditional FACS device. We demonstrated a HAPS configuration that can process 2.5 x 109 cells per hour. The system consisted of 16 HAPS channels, each operated with a throughput of approximately 50,000 cells per second. Each HAPS channel generated droplets at 80 KHz yielding a total system droplet output of 1.26 MHz. The HAPS system was controlled by a single operator through a graphical user interface (GUI). The HAPS system was used to measure, classify and sort 1.2 x 1010 cells over a four hour period. Recovery, purity and efficiency of HAPS were compared to traditional FACS which could classify and sort 4 x 108 cells over the same period. The HAPS system is scalable and can be expanded to achieve throughputs of several millions of cells per second.
71 FLOW CYTOMETRIC MEASUREMENTS OF OXIDATIVE STRESS IN HEMOGLOBINOPATHIES
Fibach Eitan1, Johnny Amer2 1Hadassah University Hospital, Jerusalem, , Israel; 2Hadassah University Hospital Jerusalem, Hematology, Jerusalem, , Israel
Oxidative stress represents an imbalance between oxidants and antioxidants. Oxidants include Reactive Oxygen Species (ROS), unstable reactive free-radicals possessing an unpaired electron, which can oxidize various molecules leading to cell damage. They are produced continuously in cells as by-product of metabolism and can be increased by environmental factors and pathological conditions. The antioxidants include reduced glutathione (GSH) - the most potent cellular ROS scavenger. Hemoglobinopathies are inherited disorders which result from a decreased synthesis of hemoglobin in thalassemia, or synthesis of an abnormal hemoglobin in sickle cell anemia (SCA). Although the primary lesion is in the globin genes, the clinical symptoms of these diseases could be mediated by oxidative stress. We developed flow cytometric techniques to measure multiple aspects of oxidative stress in various blood cells. ROS generation was measured by staining the cells with 2´-7-dichlorofluorescein; GSH – by staining with mercury orange; membrane lipid peroxidation – with fluor-DHPE and externalization of phosphatidyl serine (PS) moieties, a marker of membrane damage, by fluorochrome-conjugated Annexin-V. Specific sub-populations were gated based on their forward and side light scatter as well as by staining with antibodies to lineage-specific surface antigens, glycophorin A for RBC, CD61 for platelets and CD15 for neutrophils. Thus, various oxidative stress parameters could be assigned to each cell type. Our data indicate that cells derived from patients with beta-thalassemia or SCA have higher levels of ROS, PS and lipid peroxidation and lower levels of GSH compared with their normal counterparts. The results suggest that hemolysis, the major clinical feature, as well as thromboembolic complications and recurrent infections, which frequently occur in these diseases, could be the result of oxidative stress in the RBC, platelets and neutrophils, respectively, of these patients. Antioxidants, such as N-acetyl cysteine, vitamin C and vitamin E, reduced the oxidative stress of these cells and protect them from its deleterious consequences. This was observed by treating blood cells in vitro as well as in vivo – in a mouse model of beta-thalassemia and in patients treated with antioxidants. The results suggest that flow cytometry, a standard technology in most hematological labs, can be useful for measuring the oxidative status of various blood cells and for studying the effects of antioxidants or iron-chelators in patients with thalassemia and SCA as well as in other diseases where oxidative stress is involved in their clinical symptoms.
72 ESSENTIAL REQUIREMENT OF REDUCED GLUTATHIONE FOR THE ANTI-OXIDANT EFFECT OF THE FLAVONOID QUERCETIN
Roberta Ferraresi1, Erika Roat1, Leonarda Troiano1, Enrico Lugli1, Chiara Giovenzana1, Maria Garcia Fernandez2, Elisa Nemes1, Milena Nasi1, Marcello Pinti1, Andrea Cossarizza1 1University of Modena and Reggio Emilia, Dept. of Biomedical Sciences, Modena, Italy; 2University of Malaga, Dept. of Physiology, Malaga, Spain
Quercetin (3,3´,4´,5,7-pentahydroxyflavone, QU) is one of the most abundant dietary and frequently studied flavonoids, molecules with a variety of effects, including those patho-preventive, anti-oxidant, antiallergenic, anti-inflammatory, anti-proliferative and anti-viral. Qu shows an apparent opposite double action: in different models, it acts at the same time as a pro- and anti-oxidant. The mechanisms of these effects have not yet been completely clarified. We have studied by polychromatic functional flow cytometry the anti- or pro-oxidant effects of Qu. The U937 human cell line was treated with Qu 10, 50 and 100 uM for different periods of time, up to 24 hours. In living cells, we evaluated simultaneously several parameters, including hydrogen peroxide content by 2,7-dicholorodihydrofluorescein diacetate, superoxide anion content by hydroethidine, reduced glutathione (GSH) content by monobromobimane, mitochondrial membrane potential (MMP) by JC1, DNA content by Hoechst 33342, early/late apoptosis by phosphatidylserine exposure on the outer face of the plasma membrane by Annexin-V Alexa Fluor 647 and cell viability by Propidium Iodide. A 16-parameters CyFlow ML (Partec GmbH, Muenster, Germany), equipped with a blue solid state laser (488 nm, 200 mW), a UV Mercury lamp HBO (100 long life, 100 W), a red diode laser (635 nm, 25 mW), a green solid state laser (532 nm, 50 mW) and a CCD camera was used. For short periods of treatment, Qu exerted an anti-oxidant effect (decrease in hydrogen peroxide levels), whereas for long periods it showed a pro-oxidant activity (increase in superoxide anion), simultaneous loss in GSH content, depolarization of MMP and apoptosis. Thus, it appears that prolonged/strong treatments with Qu induce depletion of intracellular GSH stores, so that oxygen free radicals are no longer scavenged and the pro-oxidant effect prevails on the anti-oxidant effect. In conclusion, Qu exhibits a double action, anti- and pro-oxidant, which seems to depend on the cell oxidative balance and GSH content. Probably, when anti-oxidant system becomes inefficient, the consequent overproduction of oxygen radicals alters the cell redox state, activating the apoptotic program. The polychromatic flow cytometric approach, which has been used to obtain these data, is likely the best technology for understanding and better clarifying at the single cell level the complex relationship among anti-proliferative, pro-apoptotic, anti- and pro-oxidant effect of Qu as well as of other molecules.
73 MITOCHONDIRAL COMPLEX I INHIBITOR ROTENONE INDUCES CELL DEATH BY ENHANCING REACTIVE OXYGEN SPECIES GENERATION AND PEROXYNITRITE-INDUCED CYTOTOXICITY IN HL-60 CELL
Jia Liu1, J. Paul Robinson2 1Purdue University, Basic Medical Sciences, Veterinary Medicine, West Lafayette, Indiana; 2Purdue University, Basic Medical Sciences & Biomedical Engineering,West Lafayette, Indiana
Rotenone is able to induce mitochondrial complex I substrate-supported reactive oxygen species (ROS) production both in isolated mitochondria as well as in a variety of cultured cells. It also has been suggested that mitochondria may be sources of nitric oxide (NO) and the primary targets of NO in the cell. Even a small amount of NO in the mitochondrial matrix can inhibit mitochondrial respiration. Peroxynitrite is formed when superoxide and nitric oxide are produced at near equimolar ratio. As superoxide level rises, it is likely that peroxynitrite generation also increases in mitochondria. Despite its non-radical nature, peroxynitrite which is highly reactive, can initiate lipid peroxidation, cause DNA breakage and induce protein modifications including protein oxidation and nitration. Both reactive oxygen species and peroxynitrite play an important role in apoptosis. In addition, peroxynitrite-induced overactivation of poly (ADP-ribose) polymerase-1 (PARP-1) can consume NAD+ and consequently lead to ATP depletion culminating in necrosis. Apoptosis and necrosis could share common initiation pathways, and cellular ATP levels determine the mode of cell death (apoptosis versus necrosis). This presentation will show the cytotoxic effects (apoptosis and necrosis) of superoxide and peroxynitrite induced by inhibition of mitochondrial complex I by rotenone in HL-60 cell. Regulatory mechanisms such as antioxidant status, nuclear factor kB (NFkB) activation, protein phosphorylation will also be presented.
74 A COMPLEX DIETARY SUPPLEMENT DRAMATICALLY REDUCES RADIATION-INDUCED CHROMOSOME ABERRATIONS, 8-OHDG LEVELS AND H2AX FOCI IN MICE EXPRESSING ELEVATED FREE RADICAL PROCESSES
Jennifer A. Lemon1, C. David Rollo2, Douglas R. Boreham1 1McMaster University, Medical Physics and Applied Radiation Sciences, Science, Hamilton, Ontario, Canada; 2McMaster University, Biology, Science, Hamilton, Ontario, Canada
The repair of double-strand breaks (DSBs) is critical for the maintenance of genomic integrity. Chromosome aberrations (CAs)are most often the byproduct of unrepaired or misrepaired DSBs, and have been linked to higher risk of carcinogenesis, abnormal cell function and increased sensitivity to endogenous metabolic free radical production and DNA damaging agents. Mice expressing elevated endogenous free radical processes (TGM) are considerably more radiosensitive than normal mice as indicated by significantly increased number of CAs when exposed to a 2Gy in vivo whole body dose of gamma radiation. A complex dietary supplement designed to offset oxidative stress and associated cellular processes (i.e. inflammation, mitochondrial dysfunction and membrane deterioration) dramatically reduces radiation-induced CAs in both TGM and normal mice. We postulated that one of the main processes associated with the reduction in radiation-induced CAs involved increased scavenging of free radicals generated by the ionizing gamma radiation. To determine if this mechanism played a significant role in reducing DNA damage and the number of DSBs, we examined the level of 8-OHdG and the number of ãH2AX foci generated in diet supplemented and unsupplemented TGM and normal mice exposed in vivo to 2Gy gamma radiation. 8-Hydroxy-2'-deoxyguanosine (8-OHdG) is one of the most abundant oxidatively modified lesions in DNA. The levels of 8-OHdG are known to increase with chronic oxidative stress as well as exposure to ionizing radiation, as a consequence it is frequently used as a biomarker of DNA damage due to oxidative stress. Preliminary results indicate that untreated TGM have higher constitutive and radiation-induced levels of 8-OHdG compared to normal mice.H2AX is activated at the site of DSBs as part of the repair complex and rapidly inactivates when repair is complete. Although its exact function is still under dispute, these properties make ãH2AX an ideal marker for determining both the amount of DNA damage (number of foci) and the rate of DNA repair (rate of foci disappearance). Untreated TGM and normals respond to irradiation with similar levels of ãH2AX, suggesting that, although TGM and normal mice have similar numbers of constitutive and radiation-induced DSBs, a greater proportion of DSBs are misrepaired in TGM compared to normal mice. We are currently examining 8-OHdG and ãH2AX levels in supplemented mice, preliminary results show a significant reduction in both 8-OHdG and ãH2AX, which may indicate the protective effect of the dietary supplement comes from scavenging free radicals and preventing DSBs. We will present data on the effects of the dietary supplement on CAs, 8-OHdG and ãH2AX levels in the bone marrow of TGM and normal mice.
75 STATIC MAGNETIC FIELDS MODULATE CHEMICAL/ PHYSICAL INDUCED APOPTOSIS AND DNA DAMAGE BUT NOT OXIDATIVE STRESS IN GLIOBLASTOMA PRIMARY CELLS
Claudio Panzarella1, Maria Giovanna Valente1, Gianluca Vigiliano1, Donatella Tirindelli1, Maria Cristina Albertini2, Luigi Campanella3, Mario Barteri3, Cecilia Costanza3, Natale Santucci4, Laura Teodori1 1ENEA CR CASACCIA, BIOTEC-MED, Rome, Italy; 2Institut of Biochemistry G. Fornaini, University of Urbino, Urbino, Italy; 3University of Rome La Sapienza, Department of Chemistry, Rome, Italy; 4Department of Neurosurgery and Neurotrauma, Ospedale S. Spirito, Rome, Italy
To increase the knowledge of the static magnetic fields (SMF) and nerve cells interaction, we investigated the effect of SMF (8-80 mT) on several primary human glioblastoma cells. The following end-points as markers of cellular response were tested: apoptosis, oxidative stress, glutathione depletion, calcium fluxes, plasma membrane integrity and DNA damage (comet assay). To detect the ability of SMF to modulate the selected end-points when stress was induced by other chemical/ physical agents, simultaneous exposures were also investigated. The agents used simultaneously with SMF were: camptothecin, etoposide, doxorubicin, hyperthermia and x rays. Oxidative stress was monitored by two different approaches: (i) flow cytometry for cellular ROS detection; (ii) SOD biosensor for extracellular superoxide anion analysis. Results: SMF exposure per se did not induce apoptosis, oxidative stress (very little), and glutathione depletion; but increased the capacitative calcium fluxes. The glutathione depletion, and ROS production, when induced by other agents, was not influenced by SMF. It is important to note that, SMF was able to modulate apoptosis, when triggered by chemical/physical agents, yielding a lower number of apoptotic figures in the exposed cells. The extent of induced apoptosis and of SMF-mediated rescue were different in the different primary cultures tested, highlighting an individual sensitivity. We demonstrated by clonogenic essay that the cells rescued by SMF from chemical/physical triggered apoptosis, were able to form a progeny. Furthermore, a 24 hour exposure to 80 mT SMF, interfered with the cell damage induced by other genotoxic agents, as demonstrated by the comet assay.
SIMULTANEOUS ANALYSIS OF MULTIPLE CASPASE ACTIVITIES IN MOUSE T LYMPHOCYTES BY FLOW CYTOMETRY
William G. Telford1, Beverly Z. Packard2, Akira Komoriya2 1National Institutes of Health (NIH), Experimental Transplantation and Immunology Branch, National Cancer Institute (NCI), Bethesda, Maryland; 2Oncoimmunin, Inc., Gaithersburg, Maryland
Caspases play a critical role as both signaling molecules and effectors in apoptosis. Cell-permeable fluorogenic caspase substrates have played an important role in identifying the activation of these proteases in apoptotic cells; however, fluorochrome and instrument limitations have generally limited their use to the detection of a single caspase. In this study, we have employed a series of PhiPhiLux fluorogenic caspase substrates (developed by Oncoimmunin, Inc.) conjugated to fluorescein, rhodamine- and Cy5-like fluorochromes for simultaneous analysis of multiple caspase activities. Mouse T lymphoma cell lines were simultaneously labeled with fluorescein-, rhodamine- and Cy5-like substrates specific for caspase 1, 3 and 8, and were analyzed on a flow cytometer equipped with a DPSS 561 nm laser capable of simultaneous rhodamine and Cy5 excitation and detection. This laser gave excellent excitation of rhodamine and adequate excitation of Cy5 while not causing laser light contamination in the fluorescein detector range of conventional flow cytometers, allowing simultaneous analysis of all three fluorochrome-linked substrates. Activation of caspase 1, 3 and 8 could therefore be simultaneously detected, allowing the activation order of multiple protease activities in early apoptotic cells to be assessed. In murine T lymphoma cells, caspase 8 activation was found to precede caspase 3 (as expected from previous biochemical data) and caspase 1 activated simultaneously with caspase 8. This technique allowed simultaneous temporal mapping of multiple caspase activities in live cells, information hitherto available only from in vitro biochemical studies.
77 DETECTION OF MIGRATING FIBROBLASTS IN THE PERIPHERAL BLOOD BY SLIDE BASED CYTOMETRY
Ulrich Sack1, Christian Eimermacher1, Anja Mittag2, Attila TáRnok2 1University of Leipzig, Institute for Clinical Immunology and Transfusdion Medicine, Leipzig, Saxony, Germany; 2Cardiac Center, University of Leipzig, Research Laboratory, Pediatric Cardiology, Leipzig, Saxony, Germany
Rheumatoid arthritis is an inflammatory, chronically proceeding event, in which aberrant fibroblasts play a crucial role in the pathogenesis and development of the disease. Our group has recently shown that fibroblasts isolated from synovial tissue are potential inductors of rheumatoid arthritis in SCID-Mice. Furthermore, fibroblasts transfected with interleukin (IL-11, IL-15) have been recovered in joints other than the one they were injected into, but notably not in other organs. This and the fact, that rheumatoid arthritis adversely affects several joints consecutively, leads to the hypothesis that a migration of fibroblasts in the peripheral blood occurs. We therefore developed a method to isolate fibroblasts from peripheral blood through means of magnetic beads (MACS) labelled with a fibroblast-specific antibody (Mab FibAS02), using an immunomagnetic cell seperation unit (autoMACS). Because of the rarity of fibroblasts in peripheral blood samples, the cytometric detection of these cells should be confirmed by cytological methods, in particular, through use of a Laser Scanning Cytometer (LSC). In contrast to a conventional Flow Cytometer the technology of the LSC allows a multi-parametric measurement of adherent cells, including a relocalization and optical evaluation, and therefore a morphological assessment of the cells of interest. Thus, it is possible to detect even very rare cells and, if necessary, to separate them from related populations.
78 PRACTICAL STRATEGIES FOR SUCCESSFUL RARE EVENT DETECTION AND ISOLATION OF HUMAN HEMATOPOIETIC STEM CELL POPULATIONS WITH FLOW CYTOMETRIC INSTRUMENTATION
Lora W Barsky1, Ewa Zielinska1, Mary A Price2, Kimberly J Payne1, Yanjia Zhang1, Qian-Lin Hao1, Yuhua Zhu1, Yasmin K Parrish1, Kenneth I Weinberg1, Gay M Crooks1 1Children’s Hospital of Los Angeles, Research Immunology, BMT and GISCT Program, University Southern California, Los Angeles, California; 2Barrow Neurological Institute, Neuroimmunology Research Laboratory, Phoenix,Arizona
Flow Cytometry (FCM) has been used to detect, characterize, and isolate rare cell populations for twenty years. The availability of sophisticated multi-parameter FCM has been pivotal for Stem Cell Biology, allowing the identification and isolation of rare cell types for further analysis. Technological improvements to flow cytometer instrumentation, such as high speed and digital electronics, have further facilitated rapid progress in the field. Nevertheless, isolation of rare hematopoietic stem cells (HSC) and committed progenitors remains a daunting task for many laboratories. The cell surface marker CD34 is present on 1% of human bone marrow and cord blood mononuclear cells and its use in FCM and magnetic bead separation has proved very useful as an initial enrichment step for primitive hematopoietic cells. However, the CD34+ population is functionally heterogeneous as it contains HSC and different types of lineage committed progenitors such as “Common Lymphoid Progenitors” (CLP). The numerous mature progenitors within the CD34+ population express the CD38 antigen. However, HSC are found in the 1-5% of the CD34+ cells that lack the CD38 antigen (i.e. CD34+CD38-). This CD34+CD38- population can be further defined based on CD7 expression. HSC (defined as CD34+CD38-lin-CD7-) are the majority of the CD34+CD38- population (and therefore 1 to 5 cells in 10,000 mononuclear cells) whereas, CLP (defined as CD34+CD38-lin-CD7+) are 5-10% of CD34+CD38- cells in cord blood (and therefore <1 in 100,000 mononuclear cells). Meaningful results from functional assays on HSC and CLP subsets require high cell purity (>99%), which is a particular challenge considering the initial frequencies of these cells range from 0.01% to as low as 0.0005% respectively. To achieve the high purity needed for sensitive functional and PCR assays, our laboratory protocol requires a series of enrichment steps. Our laboratory pre-enriches for CD34+ progenitors by magnetic bead separation prior to FCM sorting. For FCM sorting, we stain to utilize one or more “dump channels” to remove committed, lineage positive events from the negative non-committed progenitors, which are further characterized by specific HSC or CLP markers with remaining fluorescent parameters. Ultimately, sequential FCM sorting steps are performed to ensure pure populations. Here we present a discussion of the practical techniques used for successful detection and isolation of rare and ultra rare populations from the CD34+ compartment with state of the art instrumentation and software.
79 INHERENT LIMITATIONS IN RARE CELL DETECTION
Arjan Tibbe1, Craig Miller2, Leon Terstappen2 1Immunicon Europe Inc., Enschede, Netherlands; 2Immunicon Corporation, Huntingdon Valley, Pennsylvania
Background. Circulating tumor cells (CTCs) in patients with carcinomas are extremely rare. In metastatic breast cancer, the presence of >5 CTCs in 7.5mL of blood has been associated with short survival. As this threshold has clinical implications, it is important to recognize the limitations associated with the detection and enumeration of CTCs. Methods. Poisson statistics was used to determine the probability of collecting CTCs from a patient in a certain blood volume as a function of the number of cells in its body. The statistical parameters for sample processing and final image analysis were empirically determined. All statistical parameters associated which each step of the process, from blood collection to final image analysis and CTC enumeration, were implemented into a model. Using the model a statistical analysis was performed on data generated from a multi-center clinical trial that utilized the CellSearchTM System to isolate and enumerate CTCs in 7.5mL blood samples. Results. The theoretical limit of detection is determined by the probability of collection a CTC in a 7.5 ml blood sample acquired from the patient. The blood volume that needs to be acquired to collect at least one CTC increases very rapidly to volumes that are too large to acquire without patient suffering. Using the CellSearchTM System we were able to collect and identify at least one CTC in a single 7.5 ml blood sample in 35% of the samples, if the total number of CTCs in the patient´s circulation system was 1000 CTCs and assuming a total blood volume of 5 liters. Using the model the reader was identified as the most critical step in the detection of CTCs. The reader will on average detect 1 CTC in 11% and 2 CTCs in 1% of the cases if no CTCs are present in the blood sample. In case the reader is error free the threshold level can be lowered to 1 CTC. This would mean that the presence of any CTC in the blood would be an identifier for a bad prognosis. Conclusions. Ultra low detection limits are only possible with a highly standardized and automated protocol as is used in the CellSearchTM System. With this system it is possible to detect a single CTC in 7.5 ml of blood. The amount of blood that can be acquired from the patient is the limiting factor in reaching lower limits of detection than currently achieved by the CellSearchTM System.

The graph displays the probability of collecting >= 1 CTC in one out of n = 1, 2, 3 or 4 samples, each 7.5 ml as a function of the number of CTCs in vivo assuming a blood volume of 5 liters. 1 CTC / 7.5 ml corresponds to 667 in vivo CTCs.
80 UNEXPECTED HIGH COUNTS OF MATURE CIRCULATING ENDOTHELIAL CELLS IN HEALTHY INDIVIDUALS
Michiel Strijbos1, Jaco Kraan1, Michael Den Bakker2, Bart Lambrecht3, Stefan Sleijfer1, Jan-Willem Gratama1 1Erasmus Medical Center, Medical Oncology, Rotterdam, , Netherlands; 2Erasmus Medical Center, Pathology, Rotterdam, , Netherlands; 3Erasmus Medical Center, Pulmonary Medicine, Rotterdam, , Netherlands
Background: Circulating endothelial cells (CEC) are shed from damaged vasculature making them a rational choice to serve as surrogate marker for drug efficiency, and changes in CEC in peripheral blood (PB) might predict therapy response or disease progression. The aim of our study was to develop an optimal antibody panel and gating strategy by which absolute CEC counts can be robustly and reproducibly acquired using a three-color flow cytometer. Methods: PB from 40 healthy donors (age 23-70), was stained in a stain-lyse-no wash procedure using two panels of monoclonal antibodies: panel 1: CD31-FITC, CD45-PerCP and panel
2: CD31-FITC, CD45-PE, 7-AAD. CEC were defined as FSCintermediate, SSClow, CD45dim and CD31bright. For panel 1, an FSC-SSC plot was set roughly around leukocytes to exclude debris and platelets. Panel 2 data was gated after exclusion of dead cells (7-AAD+). Absolute counts were obtained using fluorescent counting beads added to each staining. The endothelial origin of CEC was confirmed by cell sorting followed by immunohistochemistry for von Willebrand factor (vWF), CD31, CD34 and Fli-1 antibodies. Three different CD146 mAbs were tested on CEC, HUVECs and a cord blood. Results: With our suggested method, mature endothelial cells can be enumerated in whole blood without enrichment. Our absolute count yields much more endothelial cells when compared with techniques based on enrichment or even other flow cytometrical approaches. Median CEC/ul for panel 1 was 27 (range: 9-53). For panel 2, median CEC/ul was 31(range: 875).. Cells gated as CEC using panel 2 showed an endothelial phenotype by immunohistochemistry: nucleated cells, lymphocyte-sized and staining vWF+, CD31+, Fli-1+ and CD34-. CD146 expression was negative on mature CEC for all tested CD146 mAbs, but positive on HUVECs. In contrast to PB, analysis of cord blood samples showed a small population of CD146+ cells, ranging from 0.1-1/ul. Further analysis of this subset revealed a CD34+++, VEGFR-2+ phenotype, suggesting a “progenitorlike” function. Conclusions: Our suggested panel and gating strategy allows enumeration of CEC in PB. Including cells with a higher SSC can explain an increase in absolute count. Adding a viability stain as in panel 2 results in detecting viable endothelial cells and allows arbitrary setting of FSC margins, where as panel 1 does not. Circulating mature endothelial cells appear in larger amounts than previously accepted by literature. By detecting rare progenitor-like cells in cord blood, we have shown that rare event detection by flow cytometry is possible.
81 SP CELLS, ANTHRACYCLINE UPTAKE, AND FLUORESCENCE POLARIZATION
Timothy W Petersen1, Allan Kachelmeier2, Sherrif Ibrahim3, Ger Van Den Engh4 1Cytopeia, Inc., Seattle, Washington; 2Oregon Health Sciences University, Portland, Oregon; 3University of Washington Medical Center, Seattle, Washington; 4University of Washington, Oceanography, Seattle, Washington
When bone marrow cells are stained with Hoechst 33342 dye, a small group of cells distinguishes itself because of a spectral shift to shorter wavelengths. These so-called Side Population (SP) cells appear to harbor most, if not all of the stem cell activity 1. Petersen et al.2 have shown that the color of Hoechst fluorescence is related to the cellular dye concentration. Because side population cells have a low uptake rate, they take longer to make the blue-to-red spectral shift than most cells. Fluorescence polarization studies 3 show that the color variation of Hoechst is due to resonant energy transfer between closely spaced molecules. In cells with a high dye concentration, the molecules sit closely together and dye-dye interactions cause a red shift of the fluorescence. In addition to showing a red shift, the emitted fluorescence is also depolarized as a result of the resonant energy transfer. Most DNA dyes do not exhibit noticeable color shifts with increasing concentration. However, polarization changes with energy transfer are readily observed. If the two phenomena are linked, fluorescence polarization could be used as an alternative to shifts in fluorescence color. If that postulation is true, one should be able to use most viable DNA stains to mark SP cells. We will present results of experiments that correlate the uptake of the anti-cancer Anthracycline drugs polarization and show that this parameter can be used to distinguish between different subpopulations in mouse bone marrow cells. 1. Ibrahim SF, Diercks AH, Petersen TW, van den Engh G (2005) All bone marrow cells transiently exhibit the side population (SP) phenotype. Exp.Hematol. submitted. 2. Petersen TW, Ibrahim SF, Diercks AH, van den EG (2004) Chromatic shifts in the fluorescence emitted by murine thymocytes stained with Hoechst 33342. Cytometry 60A:173-181. 3. Uy JL, Asbury CL, Petersen TW, van den Engh G (2004) The polarization of fluorescence of DNA stains depends on the incorporation density of the dye molecules. Cytometry 61A:18-25.
82 FLOW CYTOMETRIC ANALYSIS AND PURIFICATION OF NEURAL AND NEURONAL CELL POPULATIONS DERIVED FROM HUMAN EMBRYONIC STEM CELLS
Jan Pruszak1, Kai-Christian Sonntag1, Joris Van Arensbergen1, Takahito Yoshizaki1, Moe Hein Aung1, Rosario Sanchez-Pernaute1, Ole Isacson1 1Center for Neuroregeneration Research, Harvard Medical School, McLean Hospital, Belmont, Massachusetts
Human embryonic stem cells (hESC) represent a promising cell source to generate functional neurons for future cell therapy of neurodegenerative diseases. One problem of current in vitro differentiation protocols is the development of heterogeneous cell populations. However, a defined cellular composition and high purity of the cell suspension are required for potential clinical applications. Here, we adapt a range of flow cytometric methodology for analysis and cell selection of hESC-derived neural and neuronal cells. Analytically, we used intracellular staining for the glial fibrillary acidic protein (GFAP), the intermediate filament Nestin, neuron-specific class III beta-tubulin and for tyrosine hydroxylase to identify astroglial, neural precursor, neuronal and dopaminergic cells, respectively, by flow cytometry after fixation. Proliferative populations in cultured hESC were detected by bromodesoxyuridine (BrdU)-labeling, and we used viability assays with propidium iodide, caspase-3 and annexin-5, as well as indicators of oxidative metabolism, e.g. CM-H2DCFDA, for neuronal toxicity and vulnerability studies. For cell selection, we tested surface antigens for their potential to purify subpopulations at the immature, precursor and neuronal stage by fluorescent-activated cell sorting (FACS), or alternatively magnetic cell separation. Purified hESC were cultivated post-sort and characterized for parameters relevant for neurogenesis and neuronal specification using immunocytochemistry, RT-PCR, BrdU-assays and transplantation studies. Undifferentiated hESC were enriched for the stage-specific embryonic antigen SSEA-4, and immaturity was confirmed by positivity for TRA-1-81, TRA-1-60 and SSEA-3. Neuroectodermal precursors were characterized by surface antigens like SSEA-1, FORSE-1, and NCAM (CD56) and sorted for further differentiation in vitro. Differentiated cells were analyzed and FACS-purified for differential expression of p75 (CD271), NCAM and CD24. The latter led to the isolation of two Nestin-positive subpopulations, CD24high and CD24low, with distinct growth and differentiation patterns. Transplantation of NCAM-positive subpopulations into a rat model of Parkinson´s disease showed post-sort survival of neural cells in vivo. Our results demonstrate how flow cytometry can be applied for analysis and cell selection of hESC-derived neural and neuronal cells.
83 DETECTION AND ASSESSMENT OF CERVICAL INTRAEPITHELIAL NEOPLASIA (CIN) LESIONS BY DNA IMAGE CYTOMETRY
Sun Xiaorong1 1Canada BC Cancer Agency;Wuhan Landing Early Cancer Detecting Center, Wuhan, Hubei, China
Objectives: To compare detection and prognostic assessment of CIN lesions between conventional cytology and DNA image cytometry (DNAICM) assisted cytology. Methods: The study enrolled 87 women. Cervical samples were collected employing cervix brushes which were then washed in SedFix. Two slides were prepared from each case: one slide was stained by Papanicolaou stain for conventional cytology, while the other slide was stained by Feulgen-Thionin method for measurements of the amount of DNA in the cell nuclei using an automated DNA imaging cytometer. Results: Of 87 cases 30 were called normal by conventional cytology. Of the total of 20 ASCUS cases called by conventional cytology, no CIN2 or greater lesions were found in the 7 cases that did not contain any cells with DNA amount greater than 5c, while CIN2 lesions were found in 11 out of 13 cases that had some aneuploid cells with DNA amount greater than 5c. Of 30 LSIL cases called by conventional cytology, CIN2 lesions were detected in 3 out of 7 cases that did not contain any aneuploid cells with DNA greater than 5c and in 22 out of 23 cases that contained aneuploid cells with DNA amount greater than >5c. Of the residual 7 cases that conventional cytology called HSIL, all case contained aneuploid cells containing DNA greater than 5c. If cytology were to be used to refer all cases of LSIL and HSIL to colposcopy and biopsy procedure to detect potential CIN2 or greater lesions then sensitivity, specificity, positive predictive value and negative predictive value would have been 58%, 84%, 87% and 54%, respectively. If DNA-ICM were to be used instead, and all cases having 3 or more cells with a DNA amount greater than 5c were to be referred to colposcopy and biopsy to detect potential CIN2 or greater lesions then sensitivity, specificity, positive predictive value and negative predictive value would have been 73%, 88%, 90% and 65%, respectively. We also compared Ki67 positivity in these samples and found that DNA-ICM results are comparable to this biomarker method. Conclusions This study demonstrates that DNA-ICM can be successfully used to detect significant (i.e. CIN2 or greater) lesions. It has been shown before that the presence of aneuploid cells containing DNA amount greater than 5c strongly predicts a progressing lesion that would lead to an invasive cancer unless treated. Therefore, the DNA-ICM approach provides also a prognostic assessment of CIN lesions.
84 CELL SIZE, SHAPE AND MEMBRANE ARE TARGETS OF STATIC MAGNETIC FIELDS AS DEMONSTRATED BY ELECTRON, OPTIC AND ATOMIC FORCE MICROSCOPY IN HUMAN GLIOBLASTOMA CELLS
Laura Teodori1, Maria Cristina Albertini2, Francesco Uguccioni2, Elisabetta Falcieri3, Marco Rocchi4, Antonio Bergamaschi5, Andrea Magrini5, Raffaele Mucciato6, Augusto Accorsi2 1ENEA - Casaccia, BIOTEC-MED, Rome, Italy; 2University of Urbino, Institute of Biochemistry G. Fornaini, Urbino, Italy; 3University of Urbino, Institute of Morphological Sciences, Urbino, Italy; 4University of Urbino, Istitute of Biomedical Engineering, Urbino, Italy; 5University of Rome ‘Tor Vergata’, Occupational Health, Rome, Italy; 62M strumenti, Rome, Italy
Background. There are very few theoretical reasons which support that static magnetic fields (SMF) might cause or contribute to cancer or any other human health problems and there is very little laboratory or epidemiological evidence that connects SMF exposure and human health hazards. However, some experimental results demonstrated that SMF affect cellular structures and functions. In order to investigate the effect of exposure to increasing doses of SMF on cell morphology, human glioblastoma cells were exposed to SMF ranging between 80 and 3,000
G. Cell morphology was studied by electron, optic and atomic force microscopy. Results. Optical microscope images showed altered orientation and alignment of exposed cells as demonstrated by circular statistic analysis. TEM images of the 3,000 G treated cells revealed the presence of micronuclei and dense vacuolized cytoplasm. The modifications at 80 and 300 G were not remarkable. Scanning electron microscopy demonstrated a dose dependent cell shape and size modification as demonstrated by the roundness index. Loss of the long villi, and appearance of membrane roughness and blebs were also evident. The cellular actin distribution detected by FITC-phalloidin staining showed that SMF exposure produced actin filament contraction. The atomic force microscopy of the exposed cells demonstrated membrane reorganization and several significant dose dependent modifications such as disappearance of the ordered surface ripples and furrows typical of the unexposed cells and occurrence of surface membrane corrugation. The roughness index was also affected (p = 0.009) Conclusions. Our experimental procedures demonstrated that exposure to SMF affects size, shape orientation and membrane surface of glioblastoma cells.
85 IMAGING THE CELLULAR RESPONSE TO FLUID SHEAR BY APPLYING ULTRA-LOCALIZED FLOW FIELDS GENERATED BY ROTATING LASER-TRAPPED MICROSPHERES
Elliot Botvinick1, Gregor Knoener2, Michael W. Berns3, Halina Rubinsztein-Dunlop2 1Beckman Laser Institute, Irvine, California; 2University of Queensland, Physics, Brisbane, Queensland, Australia; 3University of California, Irvine, Surgery, College of Medicine, Irvine, California
An advanced microscope system has been developed to measure spatial and temporal responses to fluid shear applied to local regions of the cell surface. The microscope is built on the RoboLase platform and incorporates fluorescent and wide filed imaging as well as Florescent Resonance Energy Transfer (FRET) measurements. The microscope also incorporates the laser-mediated tools of Fluorescence Recovery after Photobleaching (FRAP), laser ablation and laser tweezers. As a new ‘spin´ on applying fluid shear to the cell surface, spherical vaterite crystals are rotated near the cell surface to apply flow rate gradients generally confined to the length scale of the particle diameter. The crystals are held in a 3-D laser trap of circularly polarized light that applies optical torque to the crystal thus rotating it with respect to the surrounding liquid media. The optical torque can be quantified optically by measuring the polarization change of light passing through the crystal to provide a direct measure of the drag torque. Crystals a few microns in diameter can be rotated at hundreds of Hertz thus applying physiological shear stresses to confined regions of the cell surface. This mechanism of interaction allows the study of heterospatial force transduction and force-mediated cell properties. Furthermore this method provides an uncoupled control for complementary ligand coupled bead-pulling experiments, as the fluid-coupled stresses do not directly tie into the cytoskeleton, surface molecules or the cortical actin. By optically monitoring the laser power, rotation rate, and polarization change, the environment surrounding the crystal can be monitored for changes which may provide new insight as to the extent and role of surface molecules as they pertain to flow-induced function.
86 APPLICATION OF QUANTITATIVE MORPHOLOGICAL CYTOMETRY FOR EVALUATION OF SHEAR STRESS
Dominik Lenz1, Bulent Bayraktar2, Silas Leavesley1, J. Paul Robinson3, Bartlomiej Rajwa1 1Purdue University, Bindley Bioscience Center, West Lafayette, Indiana; 2Purdue University, Electrical and Computer Engineering, Schools of Engineering, West Lafayette, Indiana; 3Purdue University, Basic Medical Sciences & Biomedical Engineering, West Lafayette, Indiana
Background: Shear stress is well known to significantly affect the state of cellular differentiation, protein expression, and shape. The influence of shear stress on differentiation has been thoroughly evaluated. However, shear-induced changes in morphology have yet to be quantified objectively using shape descriptors. The descriptors are numbers that describe inherent features of a given shape, and can be used for classifying, matching and recognizing objects. The goal of this study was to find shape parameters (descriptors) that could be correlated with the amount of shear stress, and which could be used to distinguish between cells exposed to low and high shear stress conditions. Methods: Bovine aortic endothelial cells (BAEC´s) were exposed to varying levels of shear stress (2, 15, and 30 dynes) for a period of 24 hours. The specimens were imaged using a high-content screening system. Randomly chosen 128 cells from each group were segmented and used to calculate a set of shape descriptors, such as form factor, roundness, aspect ratio, convexity, solidity, compactness, and extent. Additionally, three parameters based on geometrical moments (elongation, dispension, and extension), as well as Fourier boundary descriptors were computed. Results: Representative shape descriptors and geometrical moments showed high degree of correlation to the amount of shear stress. In contrast, Fourier descriptors did not show monotonous dependence on shear stress. Interestingly, multiparameter discriminant analysis demonstrated that traditional shape descriptors were more useful for discriminating between shapes of cells belonging to three different groups than more complex moment-based parameters. Conclusion: The results of this study showed that relatively simple and easy-to-compute shape descriptors can be employed for the purpose of quantifying the influence of shear stress on cellular morphology. It is likely that other types of environmental stress may also result in quantifiable changes in cellular morphology. The tools presented in this manuscript can be used to extract additional shape-related parameters during the process of slide-based cytometry analysis or high-content screening. Key words: endothelial, aortic, morphology, shape analysis, shear, stress, slide-based cytometry, high content screening
87 PROTEIN SUBCELLULAR LOCATION IMAGE DATABASE FOR COMPREHENSIVE IMAGE RETRIEVAL AND AUTOMATED INTERPRETATION
Juchang Hua1, Ting Zhao2, Shann-Ching Chen3, Yanhua Hu1, Amol Shanbhag3, Justin Newberg3, Swapnil Upganlawar1, Robert F. Murphy2 1Carnegie Mellon University, Department of Biological Sciences, Mellon College of Science, Pittsburgh, Pennsylvania; 2Carnegie Mellon University, Department of Biomedical Engineering, Carnegie Institute of Technology, Pittsburgh, Pennsylvania; 3Carnegie Mellon University, Department of Medical Engineering, Carnegie Institute of Technology, Pittsburgh, Pennsylvania
Computational analysis of high resolution fluorescence microscope images (FMI) permits the automated, accurate, objective and sensitive determination of protein subcellular locations. The growing volume of images collected for this purpose require a database system which can efficiently maintain the image datasets, facilitate retrieval, and, most importantly, enable automated and sophisticated analysis. The Protein Subcellular Location Image Database (PSLID, http:// murphylab.web.cmu.edu/services/PSLID) is an open source database software package for comprehensive storage of high resolution FMI and automated analysis of the images [K. Huang et al, Proc. 2002 IEEE Intl Symp Biomed Imaging, pp. 325-328]. The current schema of the database makes it possible to manage the detailed experimental information on image data collection, the high resolution FMI of 2 dimensions through 5 dimensions and the subcellular location features (SLF) of these image objects for interpreting the subcellular location patterns of the target proteins. A web-based interface has also been implemented to provide comprehensive image search and analysis capabilities. The search of the image can be either based on context (the annotation of the imaging experiments) or content (the numerical SLFs extracted from the images). The image analysis module of PSLID implements many tools which have been developed in our group over the past ten years [R.F. Murphy, Cytometry 67A:1-3]. It includes statistical inferences based on image content such as typical image selection (TypIC) and set comparison (SImEC), and machine learning algorithms for both classification and clustering. These tools have been shown to provide better sensitivity and accuracy than human visual inspection. PSLID is built on the Postgres database system and the Tomcat Java Server Page server on the Linux platform, both of which are open source. It is part of a collaborative Information Technology Research project joint with the University of California Santa Barbara and funded by the National Science Foundation. Current work is aimed at providing an interface between PSLID and the OME database system developed by the Open Microscopy Environment project (http:// www.openmicroscopy.org).
88 CELLPROFILER: FREE, HIGH-THROUGHPUT SOFTWARE FOR AUTOMATICALLY MEASURING CELLS IN IMAGES
Anne E. Carpenter1 1Whitehead Institute for Biomedical Research, Sabatini Lab, Cambridge, Massachusetts
Advances in imaging hardware now allow the rapid collection of thousands of high resolution images of cells. Automatically measuring features of cells quantitatively from these images has been difficult due to the limitations and often proprietary nature of available image analysis software. We have therefore developed CellProfiler cell image analysis software to allow biologists without training in computer vision or programming to quantitatively measure cells in thousands of images automatically, without tedious user interacion. This freely available, open-source software project is modular and compatible with most image formats and movie formats, allowing adaptation to a variety of cell types and assays. We have tested the software using cells from human, mouse, yeast, and fruit fly to measure phenotypes including cell count, cell size, cell cycle distribution, and the levels and localization of proteins and phospho-proteins, including application to time-lapse and high-throughput experiments.

89 DEVELOPMENT OF MULTILAYERED NANOPARTICLE SYSTEMS FOR NANOMEDICINE
James F. Leary1, Tarl W Prow2, Donald EUGENE Bergstrom3 1Purdue University, Basic Medical Sciences, West Lafayette, Indiana; 2Johns Hopkins University, Baltimore, Maryland; 3Purdue University, Medicinal Chem & Molecular Pharmacology, Pharmacy & Pharmacal Sciences, West Lafayette, Indiana
Nanomedicine provides for a revolutionary new approach to regenerative medicine by a “bottom up” approach whereby tissues and organs are treated in parallel processing fashion at the single cell level using billions of smart, multilayered nanoparticles. Such nanoparticle drug delivery systems have immense promise for more accurate delivery of drugs with a lower rate of bystander cell mis-targeting. Such enclosed nanosystems also protect drugs from being broken down in the bloodstream, a common problem in drug delivery. By employing a multi-step process, the nanosystem can contain built-in error-checking to minimize bystander effects. Targeting can also be intracellular in order to bring a drug into close proximity of its molecular target inside single living cells. Since these nanosystems contain both diagnostic and therapeutic features, the conventional distinction between diagnostics and therapeutics is blurred. A new term “theragnostics” describes this new concept of simultaneous diagnostics and initial therapeutics. Therapeutic drugs or genes can be delivered inside single cells whereby the dose is controlled by biomolecular sensors on a cell-by-cell level. Multilayered nanoparticle systems are being constructed on a variety of core particle types (nanogold, quantum dots, paramagnetic). The nanosystems are built in a layer-by-layer assembly and are designed to disassemble layer-by-layer in reverse order in-vivo effectively creating a programmable nanoparticle system (Leary and Prow, patent pending). Nanosystems from 60 – 160 nm diameter are probably optimal for in-vivo therapeutics. Nanoparticle targeting to cells can be assessed using a combination of MACS magnetic sorting, fluorescence membrane tracking probes, fluorescence microscopy, flow cytometry and LEAP scanning cytometry/laser optoinjection. By using PCR amplifiable sequences, biodistribution of these nanoparticle systems can be studied in animals even when the nanoparticles in tissues cannot easily be located for conventional imaging techniques. The applications of this platform nanotechnology are numerous. Specific examples for cancer and antiviral treatments will be discussed.
90 CYTOMETRY AS AN AID IN DEVELOPMENT OF ANTIMICROBIAL AGENTS
Howard Shapiro1, Nancy Perlmutter2 1Howard M. Shapiro, M.D., P.C., West Newton, Massachusetts; 2Howard M. Shapiro, M.D., P.C., Allston, Massachusetts
The effects of antimicrobial agents on microorganisms are almost always assessed at the population or colony level. Modern instruments for determination of drug susceptibility typically measure increases in bacterial mass, as indicated by increasing turbidity of liquid media, or increases in products of bacterial metabolism, as indicated by reduction of tetrazolium dyes, changes in the pH or impedance of the medium, etc. Even when response to antibiotics is assessed by colony counts of treated and untreated cultures, essentially no information is obtained about changes in the physiology of individual organisms. Although modern multiparameter flow cytometry allows cell-by-cell analysis of the kinetics of changes in several physiological characteristics associated with the transition from a viable to a non-viable state, most studies of the interactions of antimicrobials and bacteria or fungi have measured only a single characteristic, typically membrane permeability or membrane potential. More recent studies, in which refined ratiometric methods were used for simultaneous measurement of both parameters, show that cell dynamics following exposure to antimicrobials may be more complex than initially expected, and that different species and strains may respond differently to different antibiotics. Although this complexity may preclude the development of simple, rapid cytometric clinical assays for drug susceptibility, it allows multiparameter cytometry to provide some otherwise unobtainable insights into mechanisms of antimicrobial action at the single cell level, usually within a few generation times after drug exposure, which facilitates work with slower growing organisms such as Helicobacter pylori and Mycobacterium tuberculosis. Cytometry also permits detection of small numbers of resistant organisms, and has pointed the way toward development of new combination therapies based on selectively increasing permeability of bacteria to otherwise nontoxic agents. Portions of this work were supported by NIH Grant AI063833.
91 DEVELOPMENT OF A PHOSPHATIDYLINOSITOL 3KINASE DRUG ACTIVITY BIOMARKER ASSAY IN PLATELETS
Rita Bowers1, Philip Marder1, Lisa Green1, Andrew Faber1, Phillip Schwier1, Candice Horn1, James Thomas1 1Indianapolis, Indiana
The phosphatidylinositol 3-kinase (PI3K) family of enzymes plays a pivotal role in controlling proliferation, motility, and survival of cells. Recent reports have indicated that >30% of human colorectal, breast, and hepatocellular cancers display somatic mutations in the alpha isoform of PI3K. This (and other evidence) has provided a rationale for clinical development of new drugs that might block such aberrant PI3K activity. In order to bring targeted agents to market more quickly, development of selective drug activity biomarker assays has become essential for preclinical and early phase human studies. An ideal drug activity biomarker should be robust, reproducible, easily attainable, and closely linked to the molecular target of interest. Platelets contain a rich source of PI3K (including the alpha isoform) that can be activated through stimulation of protease-activated receptors (PARs) using thrombin or its derived peptide ligands. Once stimulated, this upstream PI3K activity activates platelets into a cascade of signaling events including conformational changes in the fibrinogen receptor. In this study, we used flow cytometry to measure downstream PAR-induced platelet activation as a surrogate biomarker for modulation of PI3K activity in tumors. Results described in this presentation reveal a robust (10 – 30 fold fluorescence increase) signal that was blocked by the selective PI3K inhibitors, Wortmannin (WORT) and LY294002 (LY). The assay is functional in both human and mouse systems. For human sample analysis, platelets are isolated using size exclusion chromatography and assayed in citrated plasma by activation through PAR-1 followed by reaction with PAC-1-FITC monoclonal antibody. For the mouse, platelets are activated in whole blood through PAR-4 and reacted with alexafluor-488-fibrinogen. Both human and murine systems were blocked (in vitro) by WORT and LY in a concentration dependent manner. Furthermore, mice were dosed intraperitoneally with WORT (4 mg/kg) or vehicle and citrated blood was collected after 1 hr. and tested (ex vivo) for PAR-4-induced activation. Significant inhibition of PAR-4induced platelet activation was observed in WORT treated normal and tumor-bearing mice. Results from these studies indicate that flow cytometric measurement of PAR-induced platelet activation could be a suitable drug activity biomarker assay for evaluation of putative PI3K inhibitors in the clinic.
92 QUANTITATIVE ANALYSIS OF THERAPEUTIC MONOCLONAL ANTIBODY LOCALIZATION TO ENDOSOMES AND LYSOSOMES USING THE IMAGESTREAM IMAGING FLOW CYTOMETER
Brian Hall1, Philip Morrissey1, Che-Leung Law2, Kristine Gordon2, David Lynch1, Keith Frost1, Thaddeus George1, David Basiji1, Cathleen Zimmerman1, William Ortyn1,
Richard Bauer1, David J Perry1, Richard Esposito1 1Amnis Corp., Seattle, Washington; 2Seattle Genetics, Bothell, Washington
Monoclonal antibodies (mAb) have recently become clinically effective drugs for the treatment of a variety of human diseases. A number of these bind to cell surface determinants and thus are subject to cellular mechanisms of membrane clearing which include internalization into the endosomal/lysosomal degradation pathway. However, this pathway is complex and sorting to different compartments and recycling are known to exist. The efficacy of therapeutic mAb could be influenced by the rate of membrane clearing and progression to the degradative lysosmal compartment. Monoclonal antibodies used as single agents may be less effective if cleared rapidly from the cell surface since there may be less chance to fix complement or act as an opsonin. Alternatively, mAb conjugated to chemotherapeutic agents may need to access the lysosomal compartment in order to become active. One such mAb used clinically, binds to CD20 which is expressed on chronic lymphocytic leukemia cells. Interestingly, not all patients have a therapeutic response when treated with anti-CD20 (Rituximab). Conceivably, the difference may be due to the clearance and catabolism of the mAb amongst patient populations. Thus it would be of interest to determine the cellular fate of the mAb in established tumor cell lines and eventually apply this analysis to patient samples. A proof of concept study to track antibody drug conjugate trafficking has been performed utilizing the ImageStream imaging flow cytometer which acquires 6 channels of imagery simultaneously from cells in flow including bright field, dark field and 4 channels of fluorescent imagery at acquisition speeds of 300 cells per second. The Ramos Burkitt lymphoma cell line was incubated with fluorochrome labeled anti-CD20 for various times and then fixed and stained with fluorochrome labeled markers for endosomes and lysosomes. Cellular imagery was acquired and was analyzed using an algorithm that compares the similarity of the fluorescent imagery on a pixel by pixel basis between channels in a quantitative manner using the non-mean normalized Pearson´s correlation coefficient. The data demonstrated an initial capping of the anti-CD20, followed by association with the endosome marker and later with the lysosome marker. This was observed in sample sizes of 10,000 cells with a quantitative score which allows for statistical analysis. Thus this approach should be useful clinically in analyzing potential differences in intracellular fates of mAb between responder and non-responder populations.
93 DEVELOPMENT OF HIGHLY-SECRETING BIOPHARMACEUTICAL CELL LINES VIA IN SITU MEASUREMENT OF CELL-SPECIFIC ANTIBODY SECRETION, LASER-MEDIATED CELL PURIFICATION, AND AUTOMATED CLONE TRACKING AND ANALYSIS
Elie Hanania1, Janine Stevens1, Gary Bright1, Manfred Koller1 1Cyntellect, San Diego, California
Development of highly-secreting recombinant cell lines is critical for efficient biopharmaceutical manufacturing of many important therapeutic proteins. Currently used approaches are low-throughput, involve significant labor for clone tracking and analysis, and do not account for the fact that secreted protein does not remain associated with the best-producing cells. A fundamentally new approach was developed combining in situ capture and measurement of individual cell protein secretion followed by laser-mediated elimination of all non-and poorly-secreting cells, leaving only the highest-secreting cell in a well. Recombinant cells producing humanized antibody were cultured serum-free on a capture matrix in 96- and 384-well plates, followed by staining with fluorescently-labeled anti-human antibody fragment. A novel, automated, high-throughput instrument (called LEAP™) was used to image each well (containing up to 10,000 cells), quantify the cell-associated and secreted antibody surrounding each cell, and eliminate all undesired cells from a well via targeted laser irradiation (at the rate of >1,000 cells per second). Temporarily sparing an island of helper cells within the well improved cloning efficiency (particularly when using serum-free medium), and the helper cells were easily eliminated with the laser after several days. Cell number was automatically tracked using brightfield cell counting within well plates at various time points after cloning, allowing efforts to be focused on truly clonal wells containing clones with the best growth properties. The automated in situ capture assay was also employed after cloning to evaluate productivity from a few hundred cells, allowing poor clones to be discarded before significant cell culture expansion effort was expended leading to standard assays requiring millions of cells (e.g., ELISA and HPLC). The in situ nature of this process allowed several serial sub-cloning steps to be performed within days of one another, resulting in rapid generation of clonal populations with significantly increased and more stable, homogeneous antibody secretion.
94 DETERMINATION OF IN VIVO TOXICITIES OF GAMMA -SECRETASE INHIBITORS IN SPLEEN MARGINAL ZONE B CELLS BY FLOW CYTOMETRY
Sharon Ann Sokolowski1, Barbara-Anne Martin2, Anne M. Ryan3, Gary B. Freeman4, Carol D. Hicks2, Lit-Fui Lau2, Nikolay Pozdnyakov2 1Pfizer PGRD, Groton, Connecticut; 2Pfizer PGRD, CNS Discovery, Groton, Connecticut; 3Pfizer PGRD, Pathology, Groton, Connecticut; 4Pfizer PGRD, Toxicology, Groton, Connecticut
Beta-Amyloid is a major component of the senile plaque in Alzheimer’s disease (AD). It is believed to be the main culprit in AD pathogenesis according to the amyloid cascade hypothesis. Its production requires the concerted proteolysis of amyloid precursor protein (APP) by both BACE and -secretase. Inhibition of -secretase, therefore, represents a plausible approach to treat AD. However, in addition to APP, gammasecretase cleaves a number of other substrates; one of these is Notch. Notch signaling is important in diverse cellular and developmental processes, including differentiation, proliferation, survival and apoptosis. Consistent with the inhibition of these Notch-dependent processes, some gamma-secretase inhibitors have been shown to cause intestinal Goblet cell metaplasia, and depletion of lymphocytes. Selectivity of -secretase inhibitors over Notch processing becomes a key safety goal. Here, we have successfully monitored depletion of marginal zone B cells using fluorescence-activated cell sorting (FACS) technique.
95 NON-INVASIVE AND LABEL-FREE FLOW CYTOMETRY
Marco Di Berardino1, Grit Schade1, Adrian Huwiler1, Thomas Hessler1 1Leister Process Technologies, Microsystems, Kaegiswil, Switzerland
Flow cytometry has become a routine technique for cellular analyses. However, this technology is still very complex and usually requires costly colour reagents as well as specifically trained people for its operation. Many efforts have been put in the past few years into the development of easier and less expensive systems. Innovative technologies with alternative approaches emerged aiming at reducing cost of consumables and at simplifying whole analyses processes. In this context, various microfluidic devices have been developed and many chip-based flow cytometers investigated for biological applications. Beside the integration of traditional optical detection methods relying on fluorescent reagents mainly electrical measurement techniques were pursued. However, these developments had primarily academic relevance, were rather used for size discrimination purposes and ended by showing the proof-of-concept only. We went a step ahead and present here an improved device for cell analysis and characterization applications. The chip-based flow cytometer relies on the measurement of the electrical properties of cells flowing through a microfluidic channel. Impedance spectroscopy provides information on cell size, membrane capacity and cytoplasm conductivity. Issues of non-physiological conditions or hydrodynamic stress are overcome by applying dielectrophoresis within the microfluidic chip. In-flow single cell measurements in our microchip are possible without extensive sample preparation or addition of specific markers or dyes. Discrimination of various cell line types, such as undifferentiated mouse fibroblasts (3T3) and adipocytes, could be easily achieved. Impedance measurements of monocytes and differentiated monocytes to dendritic cells and macrophages indicate that a distinction of these cells is also possible. The ability to separate blood cell types as lymphoblasts, granulocytes and monocytes emphasizes the suitability of the system for many other haematological applications. For some cell models also viability and apoptosis measurements were carried out successfully. Finally, analyses of several species from yeast, bacteria and fungi not only demonstrate the ability to enumerate these cells, but also showed that even sporulation and other microbiological live cycle phases can be visualized. In summary, this microfluidic approach combines the advantages of performing assays in small sample volumes with minimal sample preparation efforts and without the need of any cell labelling. The device, which is also designed for cell sorting applications, represents a powerful pre-diagnostic cell analysis tool and is a valuable complement to the known and rather expensive fluorescence-based flow cytometers.
96 MULTISPECTRAL CYTOMETY: A POWERFUL NEW TECHNOLOGY IN CELL ANALYSIS
J. Paul Robinson1, Bartlomiej Rajwa2, Kathy Rajheb3, James
T. Jones4, GéRald GréGori5, Valery P. Patsekin3 1Purdue University, Basic Medical Sciences & Biomedical Engineering, West Lafayette, Indiana; 2Purdue University, Basic
Medical Sciences, Veterinary Medicine, West Lafayette, Indiana; 3Purdue University, Bindley Bioscience Center, W. Lafayette, Indiana; 4Purdue University, Institute-Interdisciplinary Engr Studies
- Biomed. Engr. Ctr., Engineering, West LaFayette, Indiana; 5Université de la Méditerranée, Marseille, Marsailes, France
We have developed a flow cytometer with the capability of collecting 32 channels of fluorescence spectra enabling a quantum leap in flow cytometry systems. Unlike previous instruments where single photomultiplier tubes collected wide bands of spectral bands, this instrument enables us to transform the entire spectrum of a particle of cell as a spectral parameter. This is a major change in technology and opens up many new possibilities including the use of multiple dyes with almost totally overlapping spectra as well as effectively removing the need for traditionally complex spectral compensation. There are many advantages of this technology that may not be obvious. The first is the vast reduction in hardware – this system utilizes a single multiplexed PMT with a single board for all the data collection electronics. Second, because we collect the entire spectrum, we can utize advanced algorithms to classify the spectrum in a variety of classes enabling us to classify cells or particles semi-automatically. Third, the opportunity now arises for very advanced databasing and multivariate analysis of data. This latter point is very important because the great majority of flow cytometry data, regardless of the number of variables collected is analyzed using univariate or bivariate techniques. When one has 32-40 variables, traditional analyses are no longer adequate. For flow cytometry to meet the 21st century demands of biotechnology and cell biology, minor advances in instrumentation will be insufficient. This presentation demonstrates the effectiveness of a truly next-generation approach to flow cytometry collection and analysis.
97 SPECTRAL ANALYSIS FLOW CYTOMETER: MODULAR INCLUSION OF HIGH RESOLUTION SPECTRAL ANALYSIS
Gregory Goddard1, John Martin1, Mark Naivar1, Peter Goodwin1, Steven Graves1, Robert Habbersett1, John P. Nolan1, James Jett1 1Los Alamos National Laboratory, National Flow Cytometry Resource, Los Alamos, New Mexico
Flow cytometry has established itself as an invaluable tool for general biomedical research with applications ranging from ligand-receptor studies, to high throughput screening and genotyping. While conventional multiparameter flow cytometers have proven highly successful, there are several types of analytical measurements that would benefit from a more comprehensive and flexible approach to spectral analysis including, but certainly not limited to: spectral deconvolution of overlapping emission spectra, fluorescence resonance energy transfer measurements, metachromic dye analysis, free versus bound dye resolution, and Raman spectroscopy. Sensitivity and reproducibility were investigated with a variety of dispersion methods and image sensor aspect ratios. Calibration of the prototype spectral analysis flow cytometer included wavelength characterization and calibration of the dispersive optics. Benchmarking of the initial system demonstrated a single particle/cell intensity sensitivity of 2160 MESF of R-Phycoerythrin. Subsequent improvements to the system resulted in a reduction of the detection limit to 1100 MESF of FITC. Single particle spectra taken with our instrument were validated against bulk solution fluorimeter and conventional flow cytometer measurements with coefficients of variation of integrated fluorescence intensity of standard fluorescent microspheres ranging from 2%-5%. It is demonstrated that the flow spectrometer has sufficient sensitivity and wavelength resolution to detect single cells and microspheres, including multi-fluorophore or quantum-dot labeled microspheres. The capability to use both standard mathematical deconvolution techniques for data analysis, coupled with the feasibility of integration with existing flow cytometers, will improve the accuracy and precision of ratiometric measurements, enable the analysis of more discrete emission bands within a given wavelength range, reduce electronic crosstalk, and allow more precise resolution of the relative contribution of individual fluorophores in multiply-tagged samples thereby enabling a range of new applications involving the spectral analysis of single cells and particles.This effort supported by NIH RR020064-01, and NIH RR001315-23 funding.
98 RAMAN FLOW CYTOMETRY
John P. Nolan1, Dakota Watson1, Daniel Gaskill1, Mirianas Chachisvilis1, Steven Graves2, Lief Brown3, Stephen Doorn3, Hicham Fenniri4 1La Jolla Bioengineering Institute, La Jolla, California; 2Los Alamos National Laboratory, Bioscience, Los Alamos, New Mexico; 3Los Alamos National Laboratory, Chemistry, Los Alamos, New Mexico; 4University of Alberta, Chemistry, Edmonton, Alberta, Canada
Flow cytometry is well-established as a method to analyze the optical properties of individual particles. Historically these optical properties have included fluorescence and Raleigh-type elastic light scatter. Raman scattering is an optical phenomenon that can reveal detailed information on chemical composition using relatively regions of the optical spectrum. This property makes Raman spectroscopy of interest for studies of cell physiology, as well as for microparticle-based and multiplexed assays. We have developed a flow cytometer capable of detecting and measuring Raman signals from particles in flow. The instrument features high NA collection optics coupled to a high throughput spectrograph via an optical fiber. The Raman spectra is dispersed onto an array of optical fibers coupled to individual PMTs or onto a CCD array. Nanoparticles exhibiting surface enhanced Raman scattering (SERS) can be differentiated on the basis of their spectra, demonstrating their potential as reporters or as encoding element for particle-based multiplexed analyses. We are developing this analytical platform to support highly multiplexed applications in disease diagnostics and drug discovery. The ability to make Raman spectral measurements of individual particles is an important new capability for flow based analysis and sorting.
99 FLUORESCENCE SENSITIVITY AND COMPENSATION IN MULTISPECTRAL FLOW IMAGING
David Basiji1, William Ortyn1, Cathleen Zimmerman1, David Perry1, David Coder1, Keith Frost1, Brian Hall1, Thaddeus George1, Richard Esposito1, Richard Bauer1, Philip Morrissey1 1Amnis Corp., Seattle, Washington
The ImageStream system combines advances in CCD technologies with a novel optical architecture for high sensitivity, multispectral imaging of cells in flow. Operation of the ImageStream system is similar to flow cytometry in that data from tens of thousands of cells can be collected in several minutes. The imagery can be used not only to quantify fluorescence intensity-based measurements similar to conventional flow cytometers, but also to measure the distribution of fluorescent signals and numerous morphologic and absorbance characteristics of each cell. These capabilities are well suited to study the influence of drug candidates and disease states on the location and movement of molecules within and between cells and the associated cell morphology. Effective analysis requires both high fluorescence sensitivity and accurate spectral compensation to properly isolate signals within cells. Here we provide a theoretical treatment of factors governing sensitivity and dynamic range in multispectral imaging and discuss their dependence on object size. We describe the compensation process which is conceptually similar to conventional flow-based compensation, but must be applied at the individual pixel level and requires the addition of several critical processing steps to eliminate the generation of artifacts. We develop an objective statistical metric for comparison of sensitivities between disparate instruments and show how alternative modes of multispectral imaging are applied to substantially improve fluorescence sensitivity. Finally, we show data collected on both the ImageStream multispectral imaging system and a recent generation 18 bit PMT-based flow cytometer to compare fluorescence sensitivity by application of the statistical metric.
MODULAR, EXPANDABLE, HIGH-SPEED DIGITAL DATA ACQUISITION SYSTEM DESIGNED TO SUPPORT MIXED MODE DATA COLLECTION FROM PMTS, PHOTON-COUNTING APDS, AND HIGH-RESOLUTION CCD ARRAYS
Mark Naivar1, James Jett2, Jimmy Parson1, Robert Habbersett1, Steven Graves2, John Martin3, Mark Wilder1, John P. Nolan4, James Freyer3 1Los Alamos National Laboratory, National Flow Cytometry Resource, Los Alamos, New Mexico; 2Los Alamos National Laboratory, Bioscience, Los Alamos, New Mexico; 3Los Alamos National Laboratory, Los Alamos, New Mexico; 4La Jolla Bioengineering Institute, La Jolla, California
In support of biologically driven goals, we have developed a flexible and modular data acquisition system for flow cytometry that supports mixed-mode data collection from a wide range of detector types including conventional current-mode devices (PMTs, photo-diodes, etc.), single-photon sensing APDs, as well as high-resolution CCD arrays. Using a combination of custom acquisition electronics employing FPGAs and a high speed ADC combined with commercial DSP boards (1 DSP for 4 detectors), the system is scaleable to support high-speed multi-laser analytical and sorting systems. Although the initial system runs on Linux, by using Open-Source and cross-platform tools where possible
– such as FireWire and the “QT” GUI development software – the system can easily be ported to Mac or Windows. To date, the software has successfully been ported to both platforms with the exception of the FireWire interface, which should be completed by Jan 2006. In the signal path, after minimal analog circuitry, a free- running 40MHz 14bit ADC allows us to over-sample all but the shortest signals to give increased dynamic range. Combined with a DSP to handle the real-time processing of the raw digitized waveforms, we can generate parameters unavailable on commercial instruments such as pulse symmetry and time on each channel with 1 uSec resolution. The system has demonstrated a large dynamic range (> 4 decades) and the ability to resolve particles with very low levels of fluorescence. It has been tested on two very different cytometers: a commercial cytometer with PMTs and a photodiode that generates pulse widths ~ 40uSec, as well as a custom cytometer using PMTs and single-photon sensing APDs with transit times over 1 millisecond. In the operational mode in which the event-based parameters are extracted by the DSP boards, the system generates 6 parameters from 32 detectors at up to 10K events/sec, for a total of 192 parameters. With the pulse-parameter processing code operating in the FPGAs the throughput is 10 – 20 X higher. This work was supported by NIH RR020064-01 and NIH RR001315-23.
101 CORRELATED MULTIPARAMETER FLOW CYTOMETRY AND MICROSCOPY DEMONSTRATE THAT THE RARE MOUSE SMALL INTESTINAL EPITHELIAL PROGENITORS EXPRESSING NEUROGENIN 3 ARE SLOWLY CYCLING CELLS DERIVED FROM A BIPOTENTIAL PRECURSOR AND GIVE RISE TO ENTEROENDOCRINE CELLS
Matthew Bjerknes1, Hazel Cheng2 1University of Toronto, Medicine, Faculty of Medicine, Toronto, Ontario, Canada; 2University of Toronto, Medicine, Toronto, Ontario, Canada
The lining of the small intestine, the epithelium, is organized into numerous crypts and villi and undergoes continuous renewal. The stem cells (S) are found among the immature columnar cells in the stem-cell zone (SCZ), the first 4-5 cell positions of the crypt base. S give rise to the columnar (C), mucous (M), Paneth (P), and enteroendocrine (E) cells through a poorly understood process. Neurogenin 3 (Neurog3) is a transcription factor involved in lineage specification. It is expressed in rare cells in the crypt. These cells are thought to be progenitors committed to the E lineage because Neurog3 null mice lack E. However, in transgenic mice containing floxed lacZ and Cre recombinase under control of a Neurog3 BAC >10% of M and P cells were lacZ+, indicating that Neurog3 is expressed in a variety of progenitors giving rise various lineages. To better characterize the role of Neurog3+ progenitors we undertook a quantitative study. Intestinal epithelium was isolated from proximal jejunum, stained with antibodies for Neurog3 and Ki-67, then DAPI and analyzed on a CyFlow ML (Partec GmBH, Germany) flow cytometer equipped with 488, 532, and 633nm lasers and a mercury arc lamp. WinList and ModFit (Verity software house, ME) were used for gating and DNA histogram analysis, respectively. Isolated intact crypts stained with various antibodies and lectins were examined with a Zeiss AxioImager Z1 and images recorded with a cooled CCD AxioCam. Flow cytometry demonstrated that about 0.0018 of epithelial cells are Neurog3+. Surprisingly, only 1/3 of Neurog3+ cells are proliferating, the rest are Ki-67-. We also measured DAPI fluorescence of Neurog3+Ki67+ cells and found that ~19% were in S phase, indicating that Neurog3+ progenitors have a relatively long cell cycle time of about 40 hours (S phase is about 7-8 hours in the crypt). Direct counts using fluorescence microscopy confirmed that 0.001-0.002 of epithelial cells are Neurog3+, 1/3 of which are proliferating. The rest are post-mitotic cells in various stages of E differentiation. Crypts contain on average 1 Neurog3+ cell, most were located above the SCZ in positions 5-8. Analysis of the cell types contained in clones derived from single progenitors labeled by somatic mutagenesis of SWR mice 3 days prior to analysis demonstrated that Neurog3+ cells are derived from a bipotential progenitor. The various results are quantitatively consistent with a model in which E are derived from MixE, a bipotential progenitor whose mitosis yields short-lived E1 and C1 progenitors committed to E and C lineages, respectively. The post-mitotic offspring of E1 become Neurog3 in about 1 day and leave the crypt in about 3 days. We found no evidence of significant contribution of Neurog3+ cells to other lineages.
102 THE RELATIONSHIP BETWEEN DIFFERENT NEOPLASTIC CERVICAL LESIONS AND THE FREQUENCY OF ANEUPLOID CELLS WITH DNA AMOUNT GREATER THAN 5C
Wang Jian1 1Canada BC Cancer Agency, Wuhan, Hubei, China
Objective: To determine if there is a relationship between different grades of neoplastic cervical lesions and the presence and frequency of aneuploid cells with DNA amount greater than 5c in cytological preparations. Methods: Cervical samples were taken by a cervix brush. Cell monolayers were prepared by first washing the brushes in SedFix and following chemical (DTT) and mechanical treatment of cell suspension to obtain a uniform single cell suspension, the cells were deposited onto microscope slides by cyto-centrifugation. Two slides were prepared from each case: one slide was stained by Papanicolaou stain for conventional cytology examination, while the other slide was stained by Feulgen-Thionin method to measure relative of amount of DNA in cell nuclei using an automated DNA imaging cytometer. The presence and the percentages of aneuploid cells, those where the cell nuclei contained DNA amount greater than 5C, were then determined for each sample. Results: All cases of LSIL and HSIL as called by conventional cytology and all cases with at least one cell nucleus having DNA amount greater than 5C (DNA Index>2.5) as determined by automated DNA image cytometer were sent to colposcopy examination and biopsy. A total of 496 cases of cervical intraepithelial lesions and invasive carcinoma were found. The sensitivity of 82% at the specificity of 74% was calculated for DNA quantitative cytology and sensitivity of 52% at 86% specificity for conventional cytology for combined CIN3 lesions and invasive cancers. The percentages of aneuploid cells having DNA amount greater than 5c were determined for CIN1, CIN2, and CIN3 lesions and invasive cancers and these were 0.6±0.04, 1.21±0.16, 2.47±0.38, and 3.12±0.78, respectively. Aneuploid cells were found in 29% of CIN1 cases, in 59% CIN2 cases, 84% of CIN3 cases and in 87% of invasive cancer cases. Conclusions: There is a clear relationship between the severity of the neoplastic cervical lesions and the frequency of aneuploid cells with DNA amount greater than 5c found in cytological preparations. Therefore the appearance of such aneuploid cells could be used as a biomarker for detecting high grade CIN lesions and invasive cancers of uterine cervix.
103 COMPARISON OF FLUORESCEIN AND PHYCOERYTHRIN CONJUGATES FOR QUANTIFYING CD20 EXPRESSION ON NORMAL AND LEUKEMIC BCELLS
Gerald Marti1, Lili Wang2, Fatima Abbasi3, Adolfas Gaigalas4, Robert F. Vogt5 1United States Food & Drug Administration CBER, Bethesda, Maryland; 2National Institute of Standards and Technology, Biochemical Science Division, Gaithersburg, Maryland; 3* CBER FDA. *Flow and Image Cytometry, Bethesda, Maryland; 4National Institute for Standards and Technology, Gaithersburg, Maryland; 5CDC, Division of Laboratory Sciences, Atlanta, Georgia
Quantitative fluorescence calibration has been advocated for the inter-laboratory data comparison and the quality control of clinical flow cytometers for more than a decade. At the present, numerous fluorescence quantification methods have been developed and instrument calibration kits have been produced. Due to the lack of follow-up support and consensus on resolving the differences with the use of these methods and materials, the quantification efforts have so far a limited clinical impact. We attempted to quantify CD20 receptor expression on B lymphocytes as a potential disease biomarker using two different and yet widely used methods. We measured CD20 expression on normal and B-CLL B-cells using both FITC and PE conjugates from the same monoclonal antibody (Mab). As a biological control and calibrator, CD4 expression on T-cells was also quantified using FITC and PE Mab. Calibration with QuantiBRITE PE-labeled microspheres and the use of unimolar PE conjugates provided direct measurements of antibody bound per cell (ABC) values for CD4 and CD20. Calibration for FITC conjugates was based on molecules of equivalent soluble fluorochrome (MESF) as determined by NIST RM 8640 microsphere standards. These MESF values were then converted to ABC values using the CD4 T-cell as a biologic calibrator to normalize FITC and PE results for CD20 expression. We demonstrated that CD4 expression on T-cells could be used as a biological calibrator to quantify CD20-FITC ABC with reasonable agreement between the two conjugates with two different fluorochromes. Issues regarding the accuracy of MESF microsphere calibrators and effective fluorochrome per protein ratios for FITC conjugates will require additional laboratory studies.
104 TRASTUZUMAB AND PERTUZUMAB DIFFERENTIALLY AFFECT HER2/NEU OVEREXPRESSING BREAST CANCER CELLS
Simone Diermeier1, Arabel Vollmann1, Andrea Sassen1, Ferdinand Hofstaedter1, Gero Brockhoff1 1University of Regensburg, Institute of Pathology, Regensburg, Bavaria, Germany
Aim: Her2/neu (c-erbB2) overexpression in breast cancer indicates eligibility for Trastuzumab therapy. However, because Her2/neu overexpression alone does not assure responsiveness to this regimen there is a demand for an optimized Her2/neu based therapy. We evaluated the mechanism of action of Pertuzumab, a different antibody targeting Her2/neu, in comparison to Trastuzumab on the cellular level with respect to Her2/neu dimerization, shedding, EGFR/Her1 and Her2/neu internalization and cell proliferation in vitro. Methods: BT474 and SK-BR-3 breast cancer cell lines, both strongly overexpressing Her2/ neu, were treated with Trastuzumab or Pertuzumab. Flow cytometry was applied to investigate EGFR and Her2/neu internalization, receptor-interaction by FRET and cell proliferation. Shedding of the Her2/neu extracellular domain was evaluated by Protein Array Technology. Results: In both SK-BR-3 and BT474 cells Her2/neu homodimerization was inhibited by Pertuzumab, whilst Her2/neu homodimers seemed to be stabilized by Trastuzumab treatment. Trastuzumab seemed to inhibit cell proliferation of BT474 and SK-BR-3 more efficiently than Pertuzumab. Neither of the antibodies induces EGFR or Her2/neu internalization. Trastuzumab reduced Her2/neu-shedding in both cell lines, whereas Pertuzumab diminished it solely in SK-BR-3. Conclusion: Significant differences in the cellular mechanisms of action of Trastuzumab and Pertuzumab suggest a potential complementary antitumour effect if both antibodies are combined in clinical application.
105 APPLICATION OF RATIOMETRIC CELL ENUMERATION TO THE DEVELOPMENT OF FLOW CYTOMETRY CELL CITOTOXICITY ASSAYS
David Diaz1, Alfredo Prieto1, Hugo Barcenilla1, Jorge Monserrat1, Luis Chara1, Julio Chevarria1, Miguel Ángel Sánchez1, Eduardo Reyes1, Melchor Álvarez-Mon2 1Alcala University, Immune system Diseases and Oncology Laboratory, CNB-CSIC R&D Associated Unit, Alcala de Henares, Spain; 2University Hospital “Príncipe de Asturias”, Immune system Diseases and Oncology Service, Alcala de Henares, Madrid, Spain
Traditional cell cytotoxicity assays are based on the labeling of target cells with 51 chromiun (51Cr). Target cell lysis by cytotoxic cells is estimated by measuring the gamma radiation emitted by the 51Cr released from lysed target cells and then percentages of specific lysis of the target cells can be calculated. Alternative methods based on release of fluorescent probes have been developed but to discard the excess of fluorescent probe, intensive washing is required damaging the target cells and reducing both sensitivity and reproducibility of the assay. Now, we are studying T cell cytotoxicity against autologous leukemic B-cell from patients with B-cell chronic lymphocytic leukemia (B-CCL). These resting target cells incorporate very low quantities of 51Cr in comparison with cell lines usually employed as targets in cytotoxicity assays. We tried to apply fluorometric assays to B-CLL and failed because B-CLL cells are fragile and suffered necrosis in the procedures used to wash the fluorescent probes. Therefore, we have to develop a new flow cytometry method to measure cytotoxicity. In previous works we have developed methods of cell enumeration of viable and apoptotic cells in culture and we decided to apply these methods to the enumeration of cells lysed in cell citotoxicity assays or in the context of drug toxicity. We designed a flow cytometry assay in which a fixed quantity of target cells is exposed to different concentrations of apoptogens (drugs or cytotoxic cells) and we enumerate the number of surviving B-CLL cells after culture. This method have the advantage that assays can be of longer duration than the assays based on release of radioactive or fluorescent labels. We applied this assay to test the efficacy of two in vitro methodologies to induce cytotoxicity against B-CLL cells. First we used microbeads as artificial APCs with two Abs against two T cell antigens CD3 and CD28. This procedure failed to induce cytotoxicity against B-CLL cells. It even induced helper activity that increased the survival of leukemic B-CLL cells in vitro. Second we used microbeads as a bridge between T cells and leukemic cells. The bead has Abs against a T cell antigen, CD28, and another against a B cell antigen, CD23. Anti-CD28 and anti-CD23 coated microbeads strongly stimulated the killing of the leukemic B-cells by autologous cytotoxic T cells. We have demonstrated the efficacy of these cytotoxic T cells to kill autologous leukemic B cells in vitro. However when the same assay is realized with PBMC from healthy controls anti-CD23 and anti-CD28 coated microbeads do not induce the lysis of non leukemic B cells. This can mean that in the B-CLL patients there are expanded clones of antileukemic lymphocytes that are not present in the healthy controls.
106 THE INVOLVEMENT OF LYSOPHOSPHATIDYLECHOLINE (LPC) IN LYMPHOCYTE APOPTOSIS IN ATHEROSCLEROSIS
Elena Afrimzon1, Naomi Zurgil1, Yana Shafran1, Mordechai Deutsch1 1Biophysical Interdisciplinary Schottenstein Center for Research and Technology of the Cellome, Physics, Bar Ilan University, Ramat-Gan, Israel
LPC, an intermediate metabolite of phosphatidylcholine, is one of the major bioactive lipids, which has been identified in atherosclerotic plaque, and a major component of oxidized LDL (oxLDL), which plays a key role in atherosclerosis. T-lymphocytes found in early and late atherosclerotic lesions, actively participate in lesion progression and rupture. The aim of the present study was to evaluate the apoptotic effect of LPC on human lymphocytes. The Optical LiveCell™ Array (Molecular Cytomics Inc.) technology, which enables quantitative measurements of individual, non-tethered living lymphocytes was employed to assess multiple functional apoptotic assays followed by post-fixation studies. Stimulation of activated peripheral blood lymphocytes, as well as Jurkat-T cell lines, with LPC, triggered apoptosis in association with an increase in rate of production of reactive oxygen species (ROS) and an elevation in Bax/Bcl-2 ratio. Real time kinetic of EGFP-Bid translocation was evident upon treatment of Jurkat-T cells that were transiently transfected with pd4eGFP-Bid plasmid. Additionally, LPC induced dose- and time-dependent changes in mitochondrial membrane potential, concurrently with the increase in ROS production rate, as measured at the individual cell resolution. In lymphocytes derived from unstable angina patients, exposure to LPC triggered neither an apoptotic manifestations nor an increase in ROS generation, and was associated with a significantly lower ratio of Bax/Bcl-2 expression. This data suggests that lymphocyte apoptosis induced by LPC may occur via several intracellular pathways, and may play an important role progression of atherosclerosis.
107 QUANTITATIVE ANALYSIS OF ANTIGEN-SPECIFIC ANTIBODY RESPONSES
Henri Van Der Heyde1, William P. Weidanz2, James Burns3, Irene Gramaglia1, John P. Nolan1 1La Jolla Bioengineering Institute, La Jolla, California; 2University of Wisconsin-Madison, Medical Microbiology and Immunology, Medical School, Madison, Wisconsin; 3Drexel University, Philadelphia, Pennsylvania
Antibodies play a central role in the response to infection, and assessing the quantities and affinities of antibodies is fundamental for understanding the immune response and for developing effective vaccinations. Most often, antibodies in plasma or serum are assessed in a qualitative or semi-quantitative manner using ELISA-type methods. In general, these methods do not allow discrimination of high abundance low affinity antibodies from low abundance high affinity antibodies. Moreover, sample volume requirements preclude exhaustive characterization of antibody types and isotypes. To improve both the efficiency and the accuracy of antibody characterization, we have developed as set of methods that use microspheres as solid supports. To measure the antigen binding activity (a combination of abundance and affinity) of a plasma sample, antigen-coated beads are used to capture specific antibodies from plasma, which are then detected using fluorescence-labeled secondary antibodies specific for antibody types or sub-types. Calibration of the flow cytometer and measurement of the fluorophore to protein ration and relative quantum yield of the fluorescent reporter antibody allow expression of data in terms of molecules of antibody per microsphere. To deconvolve antibody abundance and affinity, we estimate the Ab affinity by two methods. The first titrates soluble antigen in against a single dilution of plasma in a competition with the microsphere-immobilized antigen. In the second approach, plasma antigen is captured on to beads using immobilized type- or sub-type-specific antibodies, and the equilibrium binding of fluorescence-labeled antigen is measured. These approaches allow the affinity of the plasma antibodies for antigen to be estimated. We are using these methods to study the antibody response of mice to Plasmodium infection in an experimental model of malaria. We find significant differences in the nature of the antigen-specific antibody responses to the msp-1 and ama surface proteins during infection.
108 EVALUATION OF ITAG MHC TETRAMERS FOR PREDICTION OF RECURRENT OR PERSISTENT CYTOMEGALOVIRUS INFECTION, DISEASE AND ASSOCIATED TRANSPLANT-RELATED MORBIDITY OR MORTALITY IN ALLOGENEIC STEM CELL TRANSPLANT RECIPIENTS: A PROSPECTIVE MULTICENTER CLINICAL TRIAL
Jan W. Gratama1, Michael Boeckh2, Ryotaro Nakamura3, Rik
A. Brooimans1, Jan J. Cornelissen1, John A. Zaia3, Stephen J. Forman3, Karl Gaal3, Gail H. Gasior4, Linda A. Sullivan4, Christopher S. Boyce4, Paula C. Southwick4 1Erasmus Medical Center, Department of Medical Oncology, Daniel den Hoed Cancer Center, Rotterdam, Netherlands; 2Fred Hutchinson Cancer Research Center, Program in Infectious Diseases, Seattle, Washington; 3City of Hope National Medical Center, Division of Hematology and Bone Marrow Transplantation, Duarte, California; 4Beckman Coulter, Inc., Clinical Research, San Diego, California
Study Objective: Cytomegalovirus (CMV) infection is an important cause of morbidity and mortality in stem cell transplant (SCT) recipients despite the introduction of routine post-transplant virologic monitoring and the use of potent antiviral agents. This prospective multicenter study evaluated the use of tetramers in monitoring CMV-specific T-cell recovery following allogeneic SCT to predict patients at risk for CMV-related complications. Methods: Patients were tested every 2 weeks and monitored for up to 1 year post-transplant. iTAg MHC Tetramers (Beckman Coulter, San Diego) were used to enumerate CMV-specific CD8+ T-cells by flow cytometry using a single-platform absolute counting method. The following tetramers were included: pp50: A*0101 VTEHDTLLY; pp65: A*0201 NLVPMVATV, B*0702 TPRVTGGGAM, B*3501 IPSINVHHY; IE-1: B*0801 ELRRKMMYM. All patients underwent weekly surveillance by pp65 antigenemia, DNAemia, or shell vial culture, with preemptive antiviral therapy. Results: Data were analyzed for 83 CMV-seropositive recipients with 3 or more tetramer values. Median follow-up was 9 months (range 2-12). Delayed recovery of CMV-specific CD8+ T cells (< 7 cells/uL in all blood samples during the first 65 days post-transplant) predisposes patients to CMV-related complications. These patients are 2.6 times more likely to develop recurrent or persistent CMV infection, 4.8 times more likely to develop CMV disease, 2.4 times more likely to develop fatal complications, and
2.2 times more likely to develop one or more of these outcomes than patients showing rapid recovery (p=0.01). Rapid recovery (>= 7 cells/ uL in any blood sample during the first 65 days post-transplant) was associated with protection from CMV-related complications. Interassay variability was <=8%, and results were available in 3 hours. Conclusion: CMV tetramer-based immune monitoring, in conjunction with virologic monitoring, can be an important new tool that permits clinicians to assess the risk of CMV-related complications and to guide preemptive therapeutic choices. For high-risk patients with delayed immunologic recovery by day 65, we suggest that virologic monitoring and preemptive strategies should be continued beyond 100 days post-transplant; immunologic monitoring may prove useful in determining when virologic surveillance can be discontinued. For low-risk patients (>= 7 tetramer-positive cells/uL), studies are needed to determine how long virologic monitoring should be continued, and whether or not preemptive therapy may be reduced.
109 MICROBEADS AS ARTIFICIAL APCS AND CELL BRIDGES FOR T CELL CANCER THERAPY
Alfredo Prieto1, Miguel ÁNGEL SáNchez1, Martin Villarroel1, David Diaz1, Esperanza Perucha1, Jorge Monserrat1, Hugo Barcenilla1, Manuel LEONARDO AcuñA1,Melchor ÁLvarez-Mon2 1Alcala University, Immune system Diseases and Oncology Laboratory, CNB-CSIC R&D Associated Unit, Alcala de Henares, Madrid, Spain; 2University Hospital “Príncipe de Asturias”, Immune system Diseases and Oncology Service, Alcala de Henares, Madrid, Spain
Cancer results from genetic alterations within tumor cells that promote their proliferation and resistance to apoptosis, but also to the failure of the immune system in the destruction of the tumor cells. Adoptive T cell therapy is achieving its first irrefutable successes in the reprogramming of immune responses against tumor cells. These successes are based on the grafting of anti-tumor T lymphocytes to hosts previously lymphodepleted by chemotherapy. We selected the B-CLL as a model to experiment this therapeutic strategy, because is the most common leukemia and is usually treated with lymphodepletive therapy. Furthermore, we and other have demonstrated that in these patients there is a reactive expansion of antileukemic T cells which maintain certain control over the growth of the leukemic cells. We have developed flow cytometry methods for the study of in vitro interactions between T cells and leukemic cells. These methods allow the accurate measurement of the growth and apoptosis of leukemic cells in coculture with T lymphocytes. Our laboratory is one of the pioneers in the use of microbeads coated with monoclonal antibodies (MAbs) in the polyclonal stimulation of T lymphocytes in vitro. Microbeads coated with Abs combinations can simultaneously stimulate the T cell antigen receptor and costimulatory receptors such as CD28 working like artificial antigen presenting cells that can be used to activate and expand antileukemic T cell clones. We are developing in vitro methodologies to break the immune tolerance to the leukemic B-CLL cells and to induce the cytotoxic T cell response against these tumor cells. The first strategy is to polyclonally stimulate (with anti-CD3, anti-CD28 and IL-2) T lymphocytes from these patients.
A second and very promising strategy was pioneered by our laboratory. It uses microbeads to bridge leukemic cells and T cells. It uses one antibody against a leukemic cell antigen and other against costimulatory antigens of cytotoxic lymphocytes (anti-CD28). These microbeads link the leukemic cell and the cytotoxic T lymphocyte providing costimulatory signals for the T cell in the case it recognizes one antigen presented by the leukemic B cell. The application of methodologies of cell enumeration in coculture has demonstrated the efficacy of antiCD23 and anti-CD28 coated microbeads in the stimulation of cytotoxic T cells to kill autologous leukemic B-CLL cells. We are now developing methods of generation of antileukemic effector T cells in vitro. We have demonstrated the efficacy of these cytotoxic T cells to kill autologous leukemic B cells in vitro. We also want to identify and select the T cell subsets with the highest potential for growth and the strongest killing activity against leukemic cells.
110 STUDY OF CYTOKINE PRODUCTION BY NAÏVE, EFFECTOR, MEMORY AND REGULATORY T CELLS BY 8 COLORS MULTIPARAMETRIC FLOW CYTOMETRY
Jorge Monserrat1, Hugo Barcenilla1, Angela Hernández1, Eduardo Reyes1, Martin Villarroel1, Miguel Ángel Sánchez1, David Diaz1, Alfredo Prieto1, Manuel Leonardo Acuña1, Melchor Álvarez-Mon2 1Alcala University, Immune system Diseases and Oncology Laboratory, CNB-CSIC R&D Associated Unit, Alcala de Henares, Madrid, Spain; 2University Hospital “Príncipe de Asturias”, Immune system Diseases and Oncology Service, Alcala de Henares, Madrid, Spain
The best phenotypic criteria to define naïve, effector and memory T lymphocytes are subject of debate. Expression of CD45 isoforms (CD45RA y el CD45RO) has to be complemented with the concurrent expression of another markers as CD27, CD62L, CCR7 and CD31 to distinguish between truly naïve T cells and the different types of antigen experienced T cells: central memory T cells, non terminated effector memory T cells and terminated effector memory T cells. Regulatory T cells are another T cell subset with relevant immunoregulartory functions. Regulatory T cells have been defined as a subset of memory cells. However, the existence of naive regulatory T cells has been recently reported Objetive: By the use of multiparameter flow cyometry in eight colors we have studied the production by cytokines by the different subsets of naïve, effector and memory T lymphocytes and also the production by regulatory T cells. By this method we can study simultaneously five surface markers and intracellular expression of three cytokines. Studies of expression of TNFá, IFNã, IL-2, IL-4 and IL-10). We also studied intracellular expression of FOXP3. Materials and Methods: We have studied peripheral blood mononuclear cells (PBMC) from 6 healthy controls. PBMC were cultured for six hours in the presence or the absence of PMA (50 ng/ml) plus Ionomycin (1 ìg/ml). Monensin (2 ìM) was added to the cultures to retain the produced cytokines within the producer cells. We used for surface labeling antibodies against the antigens: CD3,CD4,CD8,CCR7,CD45RA, CD25 CD27 CD31 and for intracellular labeling antibodies against: TNFá, IFNã, IL-2, IL-4, IL-10 and FOXP3. Results: We have found significant differences in the intracellular production of TNFá, IFNã, IL-2 defined as CD3+CD8+/-CD45RA+/-CD27+/-CCR7+/-. The percentage of IL-2 producing cells is increased in CD4+ naive T cells but not in CD8+ naive T cells. The decrease in IL-2 production is correlated with an increase of IFNã and shift of surface markers indicative of transition to effector memory cells. This increase is more marked in T CD8 lymphocytes than in CD4 ones, and is associated to and increase in the expression of TNFá. We have found that there are naive regulatory T cells that express FOXP3 at levels lower than that found in classical memory T cells. Conclusion: The different stages of T cell activation are associated to different patterns of the production of IL-2, INFã y TNFá. The existence of a naive Regulatory T cell population is confirmed.
111 CD8+ T-CELL DYSFUNCTION IN AIDS: A CELLULAR DEFECT OR AN ABSENCE OF CD4+ T CELLS HELP?
Patrick J Autissier1, Norman L Letvin1, Igor J Koralnik1, Joern E Schmitz1 1Beth Israel Deaconess Medical Center, Medicine, Harvard Medical School, Boston, Massachusetts
HIV and/or SIV infection destroy CD4+ T lymphocytes and the result is a loss of immune competence. Loss of immune competence has been attributed to loss of CD4+ T lymphocytes by direct viral killing and an indirect impairment of the function of uninfected CD8+ T lymphocytes. CD8+ T-cells of infected individuals have been shown to lack perforin and normal indicators of maturation, and down modulate CD3 and CD28. However, it is possible that these CD8+ T-cells defects could be due to insufficient help. Ca2+ acts as an intracellular messenger that is involved in very early steps of cell activation. We evaluated Calcium-flux after anti-CD3 triggering in different subsets of CD8+ T lymphocytes of naïve and chronically SIV-infected rhesus monkeys. Using ionomycin activation, we did not see any differences in Ca-flux of CD8+ T lymphocytes of SIV- and SIV+ monkeys. However, after anti-CD3 triggering, we saw a Ca-flux defect in total CD8+ T lymphocytes. Interestingly this defect was associated with the CD4+ T-cell counts. The chronically SIV-infected monkeys with low CD4+ T-cell counts had a poor response, while the SIV-infected monkeys with high CD4+ T-cell counts had a good response. We then evaluated different subsets of CD8+ T lymphocytes for Ca-flux in infected monkeys with low CD4+ T cell counts. All subsets of CD8+ T lymphocytes had defective Ca-flux after CD3 stimulation. These data demonstrate that the SIV-infected monkeys with low CD4+ T-cell counts and high viral load have a Caflux defect in all subsets of CD8+ T lymphocytes. Since this defect was correlated to the CD4+ T-cell count of the monkeys, we suggest that this CD8+ T-cell impairment might be due to an absence of adequate CD4+ T-
cell help.
112 T CELLS HOMEOSTASIS IN CHILDREN WITH DOWN’S SYNDROME
Erika Roat1<