Small molecule screening with laser cytometry can be used to identify pro-survival molecules in human embryonic stem cells.

Differentiated cells from human embryonic stem cells (hESCs) provide an unlimited source of cells for use in regenerative medicine. The recent derivation of human induced pluripotent cells (hiPSCs) provides a potential supply of pluripotent cells that avoid immune rejection and could provide patient-tailored therapy. In addition, the use of pluripotent cells for drug screening could enable routine toxicity testing and evaluation of underlying disease mechanisms. However, prior to establishment of patient specific cells for cell therapy it is important to understand the basic regulation of cell fate decisions in hESCs. One critical issue that hinders the use of these cells is the fact that hESCs survive poorly upon dissociation, which limits genetic manipulation because of poor cloning efficiency of individual hESCs, and hampers production of large-scale culture of hESCs. To address the problems associated with poor growth in culture and our lack of understanding of what regulates hESC signaling, we successfully developed a screening platform that allows for large scale screening for small molecules that regulate survival. In this work we developed the first large scale platform for hESC screening using laser scanning cytometry and were able to validate this platform by identifying the pro-survival molecule HA-1077. These small molecules provide targets for both improving our basic understanding of hESC survival as well as a tool to improve our ability to expand and genetically manipulate hESCs for use in regenerative applications.

Quantifying amyloid beta (Aß)-mediated changes in neuronal morphology in primary cultures: implications for phenotypic screening.

Alzheimer's disease (AD) is a devastating neurodegenerative disease affecting millions of people. The amyloid hypothesis suggests that the pathogenesis of AD is related to the accumulation of amyloid beta (Aß) in the brain. Herein, the authors quantify Aß-mediated changes in neuronal morphology in primary cultures using the Cellomics neuronal profiling version 3.5 (NPv3.5) BioApplication. We observed that Aß caused a 33% decrease in neurite length in primary human cortical cultures after 24 h of treatment compared with control-treated cultures. We also determined that quantifying changes of neuronal morphology was a more sensitive indicator of nonlethal cell injury than traditional cytotoxicity assays. Aß-mediated neuronal deficits observed in human cortical cultures were also observed in primary rat hippocampal cultures, where we demonstrated that the integrin-blocking antibody, 17E6, completely abrogated Aß-mediated cytotoxicity. Finally, we showed that Aß challenge to 21 days in vitro rat hippocampal cultures reduced synapsin staining to 14% of control-treated cultures. These results are consistent with the finding that loss of presynaptic integrity is one of the initial deficits observed in AD. The implementation of phenotypic screens to identify compounds that block Aß-mediated cytotoxicity in primary neuronal cultures may lead to the development of novel strategies to prevent AD.

Differentiation and visualization of diverse cellular phenotypic responses in primary high-content screening.

High-throughput screening, based on subcellular imaging, has become a powerful tool in lead discovery. Through the generation of high-quality images, not only the specific target signal can be analyzed but also phenotypic changes of the whole cell are recorded. Yet analysis strategies for the exploration of high-content screening results, in a manner that is independent from predefined control phenotypes, are largely missing. The approach presented here is based on a well-established modeling technique, self-organizing maps (SOMs), which uses multiparametric results to group treatments that create similar morphological effects. This report describes a novel visualization of the SOM clustering by using an image of the cells from each node, with the most representative cell highlighted to deploy the phenotype described by each node. The approach has the potential to identify both expected hits and novel cellular phenotypes. Moreover, different chemotypes, which cause the same phenotypic effects, are identified, thus facilitating "scaffold hopping."

Identification and evaluation of novel synovial tissue biomarkers in rheumatoid arthritis by laser scanning cytometry.

INTRODUCTION: Suitable biomarkers are essential for therapeutic strategies in personalized medicine in terms of diagnosis as well as of prognosis. With highly specific biomarkers, it is possible, for example, to identify patients with poor prognosis, which enables early intervention and intensive treatment. The aim of this study was to identify and validate biomarkers and possible combinations for a prospective use in immunoscintigraphy, which may improve diagnosis of rheumatoid arthritis (RA) patients with consideration of inflammatory activity in the affected joints. Therefore, we tested several monoclonal antibodies (mAbs) directed against cellular-surface molecules on cells likely to be involved in the pathogenesis of RA. METHODS: Synovial tissue from patients with long-standing RA (accompanied by synovitis with varying states of current activity) and patients with acute non-RA arthritis were stained for surface molecules on different cell types by using fluorochrome-labeled antibodies. Tissue analysis was done by laser scanning cytometry (LSC), and statistical evaluation, by discriminant analysis and ROC analysis. RESULTS: CD11b, HLA-DR, CD90, and CD64 revealed significant differences between tissues from patients with RA and acute non-RA arthritis. Especially with the expression of CD64, both patient cohorts could be discriminated with high sensitivity and specificity. RA classification was improved by simultaneously investigating the expression of two or three different surface proteins, such as HLA-DR, CD90, and CD29 in the tissue. The simultaneous analysis of CD64 together with CD304 or the combination of CD11b and CD38 was suitable for the identification of RA patients with high current activity in synovitis. CONCLUSIONS: In this study, we showed that LSC is a novel reliable method in biomarker prevalidation in RA. Hence, identified mAbs in situ may allow their potential use in in vivo approaches. Moreover, we proved that biomarker-combination analysis resulted in better discrimination than did single-marker analysis. Combinations of these markers make a novel and reliable panel for the discrimination between RA and acute non-RA arthritis. In addition, further expedient combinations may be novel promising biomarker panels to identify current activity in synovitis in RA.

Preclinical applications of quantitative imaging cytometry to support drug discovery.

Preclinical drug development is actively involved in testing compounds to find cures or to manage the effects of disease, such as diabetes. Animal models, such as the Zucker diabetic fatty (ZDF) rat, are used to measure efficacy of candidate drugs. This animal model was selected because of its clinical and pathological similarities to diabetic human patients. A method using immunofluorescence and laser scanning cytometry (LSC) technology has been used to measure the development of diabetic phenotype in the ZDF rat during a 17-week time course. The expression levels of insulin, glucagon, voltage-dependent anion channel (VDAC), and Ki67 were quantified. Insulin and VDAC expression were reduced in the ZDF animals in comparison to the lean control rats, while no significant change was seen in glucagon and Ki67 expression at week 17. This information is useful in the design of studies to test experimental compounds in this model. Screening drug targets or biomarkers in tissue sections is another important activity in drug development. Tissue microarrays (TMAs) are composed of 60 or more tissue cores from humans or animal models and may contain healthy and/or diseased tissues. Antibodies against target proteins are applied to TMAs using routine immunohistochemical reagents and protocols. The protein expression across the cores, as labeled by immunohistochemistry, is measured using LSC technology. The process provides an efficient and cost-effective method for evaluating multiple targets in a large number of tissue samples. More recently, IHC and LSC have been taken to the next level to quantify biopharmaceutical drug and target co-localization in tissue sections.

High-content analysis in preclinical drug discovery.

High-Content Analysis (HCA) has developed into an established tool and is used in a wide range of academic laboratories and pharmaceutical research groups. HCA is now routinely proving to be effective in providing functionally relevant results. It is essential to select the appropriate HCA application with regard to the targeted compound's cellular function. The cellular impact and compound specificity as revealed by HCA analysis facilitates reaching definitive conclusions at an early stage in the drug discovery process. This technology therefore has the potential to substantially improve the efficiency of pharmaceutical research. Recent advances in fluorescent probes have significantly boosted the success of HCA. Auto-fluorescent proteins which minimally hinder the functioning of the living cell have been playing a decisive role in cell biology research. For companies the severely restricted license conditions regarding auto-fluorescent proteins hamper their general use in pharmaceutical research. This has opened the field for other solutions such as self-labeling protein technology, which could potentially replace the well established methods that utilize auto-fluorescent proteins. In addition, direct labeling techniques have improved considerably and may supersede many of the approaches based on fusion proteins. Following sample preparation, treated cells are imaged and the resulting multiple fluorescent signals are subjected to contextual and statistical analysis. The extraordinary advantage of HCA is that it enables the large-scale and simultaneous quantification and correlation of multiple phenotypic responses and physiological reactions using sophisticated software solutions that permit assay-specific image analysis. Hence, HCA once more has demonstrated its outstanding potential to significantly support establishing effective pharmaceutical research processes in order to both advance research projects and cut costs.

Applications of laser scanning cytometry in immunohistochemistry and routine histopathology.

Laser scanning cytometry (LSC) is a powerful tool for qualitative and quantitative analysis of tissue sections in preclinical drug development. LSC combines the strengths of flow cytometry with tissue architecture retention. This technology has been used predominantly with immunofluorescent techniques on cell culture and tissue sections, but recently LSC has shown promise in evaluating chromogenic immunohistochemistry (IHC) and histochemical products in paraffin-embedded and/or frozen tissue sections. Inverted light scatter measurements or a combination of inverted scatter and fluorescence allows automated determination of cell/nuclear counts (e.g., proliferation labeling indices), cell area (e.g., cellular hypertrophy), stromal elements, and labeling intensity (e.g., cytoplasmic/organellar proteins) in chromogen-labeled IHC or histochemical stained sections that correlates well with standard manual quantification methods. Segmentation with autofluorescence or dual immunolabeling facilitates capture of labeling data from specific cell populations. LSC evaluation of HE-stained sections is accomplished using autofluorescence/eosin fluorescence and inverse scatter. A standardized fluorescent approach with archivability, a lack of fluorescence quenching (photobleaching), and amenability to evaluation of multiple markers in a section has been demonstrated using Qdot nanocrystals. Examples of LSC use in chromogenic IHC, routine histopathology, and Qdot labeling will be reviewed, and advantages and disadvantages of this technology will be discussed.

Comparison of solid-phase cytometry and the plate count method for the evaluation of the survival of bacteria in pharmaceutical oils.

AIM: To compare the survival of four bacterial strains (Escherichia coli, Proteus mirabilis, Staphylococcus aureus, Pseudomonas aeruginosa) in pharmaceutical oils, including jojoba oil/tea tree oil, carbol oil, jojoba oil and sesame oil. METHODS AND RESULTS: Oils were spiked with the test bacteria in a concentration of 10(4) CFU ml(-1). Bacteria were extracted from oils with phosphate-buffered saline containing 0.5% Tween 20. Aliquots of the pooled water layers were analysed by solid-phase cytometry and plate counting. Plate counts dropped to zero for all test strains exposed for 24 h to three of the four oils. In contrast, significant numbers of viable cells were still detected by SPC, except in the jojoba oil/tea tree oil mixture and partly in sesame oil. CONCLUSIONS: Exposure of bacteria for 24 h to the two oils containing an antimicrobial led to a loss of their culturability but not necessarily of their viability. The antibacterial activity of the jojoba oil/tea tree oil mixture supersedes that of carbol oil. SIGNIFICANCE AND IMPACT OF THE STUDY: These in vitro data suggest that the jojoba oil/tea tree oil mixture more than carbol oil inhibits bacterial proliferation when used for intermittent self-catherization.

Near-clinical applications of laser scanning cytometry.

Biological samples from human tissues are characterized by complexity and heterogeneity. The ability to make rapid, reliable, quantitative fluorochromatic measurements on clinical samples allows the development of new and practical assays that could influence diagnosis and treatment in a variety of clinical applications. Laser scanning cytometry (LSC) is a very versatile and adaptable technology that allows for the quantitative analysis of cell samples that are unsuitable for flow cytometry by virtue of their presentation and context. Crucially, it allows the direct visualization of cells and rare events and the correlation of imagery with fluorochromatic measurements. In this chapter, we describe early experiments in the study of cytotoxic drug uptake and resistance in human tumor cells and in the study of sputum cells from asthmatic patients, which harness the specific capabilities of LSC to practical clinical problems.