High-throughput single cell arrays as a novel tool in biopreservation

Microwell array cytometry is a novel high-throughput experimental technique that makes it possible to correlate pre-stress cell phenotypes and post-stress outcomes with single cell resolution. Because the cells are seeded in a high density grid of cell-sized microwells, thousands of individual cells can be tracked and imaged through manipulations as extreme as freezing or drying. Unlike flow cytometry, measurements can be made at multiple time points for the same set of cells. Unlike conventional image cytometry, image analysis is greatly simplified by arranging the cells in a spatially defined pattern and physically separating them from one another. To demonstrate the utility of microwell array cytometry in the field of biopreservation, we have used it to investigate the role of mitochondrial membrane potential in the cryopreservation of primary hepatocytes.Even with optimized cryopreservation protocols, the stress of freezing almost always leads to dysfunction or death in part of the cell population. To a large extent, cell fate is dominated by the stochastic nature of ice crystal nucleation, membrane rupture, and other biophysical processes, but natural variation in the initial cell population almost certainly plays an important and under-studied role. Understanding why some cells in a population are more likely to survive preservation will be invaluable for the development of new approaches to improve preservation yields.For this paper, primary hepatocytes were seeded in microwell array devices, imaged using the mitochondrial dyes Rh123 or JC-1, cryopreserved for up to a week, rapidly thawed, and checked for viability after a short recovery period. Cells with a high mitochondrial membrane potential before freezing were significantly less likely to survive the freezing process, though the difference in short term viability was fairly small. The results demonstrate that intrinsic cell factors do play an important role in cryopreservation survival, even in the short term where extrinsic biophysical factors would be expected to dominate. We believe that microwell array cytometry will be an important tool for a wide range of studies in biopreservation and stress biology.     

Application of the CYTOMIC 12 flow cytometric compact analyzer for automatic kinetic measurements

Flow cytometry, usually applied to cells which have time independent features, can also be used for kinetic experiments where the change of cell populations with time is investigated. Dedicated time sequencing programs written in Assembler and incorporated in the CYTOMIC 12 analyzer (4) are described. A sequence of 64 one parameter histograms can be automatically acquired and immediately displayed as a pseudo-two-parameter histogram. The acquisition time for each of the subsequent histograms can be selected between 1 and 32 seconds. Kinetics lasting up to 34 minutes are resolved into 64 time intervals. Two parameter kinetics can be resolved into 12 32 X 32 channel, two parameter histograms which are displayed and evaluated immediately on the analyzer screen in groups of 4 without using complicated list mode procedures. The standard CYTOMIC 12 software can be applied for processing and printing of the sequence distribution curves.     

A microcomputer system for video image analysis and diagnostic microdensitometry

A system for microdensitometry based on a microcomputer, video digitizer and solid-state camera has been developed. Image analysis and densitometry are achieved with convenient control over image editing and calibration. The linear photometric properties of the imaging device enable measurements of high accuracy. The system has proven to give rapid and repeatable performance for determining DNA content distribution from measurements of Feulgen-stained cell nuclei. The results show that a practical image analysis microdensitometer can be designed using a readily available microcomputer. The low cost and simple operation are of benefit for diagnostic applications in which flow cytometry is not possible, the time required for microscope photometry is too great or an automated image analyzer and support staff are not available.     

DNA content of Hurthle cell nodules in autoimmune thyroiditis

Hurthle cells are found in thyroid neoplasms and in reactive nodules in thyroiditis or goitrogenic processes. Cytometric studies have evaluated Hurthle cell neoplasms but not their reactive counterparts. DNA content of Hurthle cells in 22 cases of autoimmune thyroiditis was measured by flow cytometry and image content of Hurthle cells in 22 cases of autoimmune thyroiditis was measured by flow cytometry and image processing using nuclei extracted from paraffin-embedded tissue after microdissection of the Hurthle cell nodules. All 22 autoimmune thyroiditis Hurthle cell nodules were diploid, including 16 without associated neoplasms and six with associated malignant neoplasms (four papillary carcinomas, one follicular carcinoma and one follicular adenoma with papillary carcinoma). Concordance between flow cytometry and image processing was 100%. These findings indicate that the markedly atypical Hurthle cells in autoimmune thyroiditis are diploid by DNA quantitation. This suggests that atypia in Hurthle cells due to reactive or neoplastic processes may be differentiated by quantitative DNA analysis.     

质谱流式技术用于单细胞检测

质谱流式技术(mass cytometry)是利用质谱原理对单细胞进行多参数检测的流式技术,能够在单细胞水平实现超过50种标志物的同时测量,显著增强了对细胞生长进程和复杂细胞系统的评估能力。该文简要介绍了质谱流式技术的基本工作原理,并从金属元素标记、质量分析器、高维单细胞数据处理等方面展开论述,阐明设计新型金属元素标签和选择飞行时间质谱的必要性,归纳分析高维单细胞数据的算法并总结各种算法的优点和局限性。     

High throughput single cell bioinformatics

Advances in systems biology and bioinformatics have highlighted that no cell population is truly uniform and that stochastic behavior is an inherent property of many biological systems. As a result, bulk measurements can be misleading even when particular care has been taken to isolate a single cell type, and measurements averaged over multiple cell populations in a tissue can be as misleading as the average height at an elementary school. There is a growing need for experimental techniques that can provide a combination of single cell resolution, large cell populations, and the ability to track cells over multiple time points. In this article, a microwell array cytometry platform was developed to meet this need and investigate the heterogeneity and stochasticity of cell behavior on a single cell basis. The platform consisted of a microfabricated device with high‐density arrays of cell‐sized microwells and custom software for automated image processing and data analysis. As a model experimental system, we used primary hepatocytes labeled with fluorescent probes sensitive to mitochondrial membrane potential and free radical generation. The cells were exposed to oxidative stress and the responses were dynamically monitored for each cell. The resulting data was then analyzed using bioinformatics techniques such as hierarchical and k‐means clustering to visualize the data and identify interesting features. The results showed that clustering of the dynamic data not only enhanced comparisons between the treatment groups but also revealed a number of distinct response patterns within each treatment group. Heatmaps with hierarchical clustering also provided a data‐rich complement to survival curves in a dose response experiment. The microwell array cytometry platform was shown to be powerful, easy to use, and able to provide a detailed picture of the heterogeneity present in cell responses to oxidative stress. We believe that our microwell array cytometry platform will have general utility for a wide range of questions related to cell population heterogeneity, biological stochasticity, and cell behavior under stress conditions. © 2009 American Institute of Chemical Engineers Biotechnol. Prog., 2010     

Cellometer image cytometry as a complementary tool to flow cytometry for verifying gated cell populations

Traditionally, many cell-based assays that analyze cell populations and functionalities have been performed using flow cytometry. However, flow cytometers remain relatively expensive and require highly trained operators for routine maintenance and data analysis. Recently, an image cytometry system has been developed by Nexcelom Bioscience (Lawrence, MA, USA) for automated cell concentration and viability measurement using bright-field and fluorescent imaging methods. Image cytometry is analogous to flow cytometry in that gating operations can be performed on the cell population based on size and fluorescent intensity. In addition, the image cytometer is capable of capturing bright-field and fluorescent images, allowing for the measurement of cellular size and fluorescence intensity data. In this study, we labeled a population of cells with an enzymatic vitality stain (calcein-AM) and a cell viability dye (propidium iodide) and compared the data generated by flow and image cytometry. We report that measuring vitality and viability using the image cytometer is as effective as flow cytometric assays and allows for visual confirmation of the sample to exclude cellular debris. Image cytometry offers a direct method for performing fluorescent cell-based assays but also may be used as a complementary tool to flow cytometers for aiding the analysis of more complex samples.     

The curvHDR method for gating flow cytometry samples

Background  

High-throughput flow cytometry experiments produce hundreds of large multivariate samples of cellular characteristics. These samples require specialized processing to obtain clinically meaningful measurements. A major component of this processing is a form of cell subsetting known as gating. Manual gating is time-consuming and subjective. Good automatic and semi-automatic gating algorithms are very beneficial to high-throughput flow cytometry.     

FLOW CYTOMETRY AND THE SINGLE CELL IN PHYCOLOGY

Flow cytometers measure light scattering and fluorescence characteristics from individual particles in a fluid stream as they cross one or more light beams at rates of up to thousands of events per second. Flow cytometrically detectable optical signals may arise naturally from algae, reflecting cell size, structure, and endogenous pigmentation, or may be generated by fluorescent stains that report the presence of otherwise undetected cellular constituents. Some flow cytometers can physically sort particles with desired optical characteristics out of the flow stream and collect them for subsequent culture or other analyses. The statistically rigorous, cell‐level perspective provided by flow cytometry has been advantageous in experimental investigations of phycological problems, such as the regulation of cell cycle progression. The capacity of flow cytometry to measure large numbers of cells in large numbers of samples rapidly and quantitatively has been used extensively by biological oceanographers to define the distributions and dynamics of marine picophytoplankton. Recent work has shown that flow cytometry can be used to elucidate relationships between the optical properties of individual cells and the bulk optical properties of the water they live in, and thereby may provide an explicit link between algal physiology and global biogeochemistry. Unfortunately, commercially available flow cytometers that are optimized for biomedical applications have a limited capacity to analyze larger phytoplankton. To circumvent these limitations, many investigators are developing flow cytometers specifically designed for analyzing the broad range of sizes, shapes, and pigments found among algae. These new instruments can perform some novel measurements, including simple fluorescence excitation spectra, detailed angular scattering measurements, and in‐flow digital imaging. The growing accessibility and power of flow cytometers may allow the technology to be applied to a wider array of problems in phycology, including investigations of nonplanktonic and multicellular algae, but also presents new challenges for effectively analyzing the large quantity of multiparameter data produced. Ultimately, the detection of molecular probes by flow cytometry may allow single‐cell taxonomic and physiological information to be garnered for a variety of algae, both in culture and in nature.     

Flow cytometry and FACS applied to filamentous fungi

Flow cytometry is an automated, laser- or impedance-based, high throughput method that allows very rapid analysis of multiple chemical and physical characteristics of single cells within a cell population. It is an extremely powerful technology that has been used for over four decades with filamentous fungi. Although single cells within a cell population are normally analysed rapidly on a cell-by-cell basis using the technique, flow cytometry can also be used to analyse cell (e.g. spore) aggregates or entire microcolonies. Living or fixed cells can be stained with a wide range of fluorescent reporters to label different cell components or measure different physiological processes. Flow cytometry is also suited for measurements of cell size, interaction, aggregation or shape using non-labelled cells by means of analysing their light scattering characteristics. Fluorescence-activated cell sorting (FACS) is a specialized form of flow cytometry that provides a method for sorting a heterogeneous mixture of cells into two or more containers based upon the fluorescence and/or light scattering properties of each cell. The major advantage of analysing cells by flow cytometry over microscopy is the speed of analysis: thousands of cells can be analysed per second or sorted in minutes. Drawbacks of flow cytometry are that specific cells cannot be followed in time and normally spatial information relating to individual cells is lacking. A big advantage over microscopy is when using FACS, cells with desired characteristics can be sorted for downstream experimentation (e.g. for growth, infection, enzyme production, gene expression assays or ‘omics’ approaches). In this review, we explain the basic concepts of flow cytometry and FACS, define its advantages and disadvantages in comparison with microscopy, and describe the wide range of applications in which these powerful technologies have been used with filamentous fungi.     

DNA image cytometry on machine-selected breast cancer cells and a comparison between flow cytometry and scanning cytophotometry

A DNA image cytometry method, implemented on the LEYTAS image processing system, has been applied to acriflavine-Feulgen-stained breast cancer cytology specimens. An essential feature of the LEYTAS image cytometry method (LCM) is the automated selection of single nuclei according to predetermined specifications. Visual interaction has been used to reject remaining artefacts like overlapping nuclei. DNA profiles obtained with LCM have been compared with DNA profiles obtained by scanning cytophotometry (SCM) or flow cytometry (FCM). The resolution of DNA profiles obtained with LCM is similar to that from SCM but lower than that from FCM. However, a high correlation is found for the DNA indices measured with LCM and FCM (r = 0.97). The LCM profiles of aneuploid tumours generally showed lower accessory diploid fractions than FCM profiles due to the automated rejection of leukocyte nuclei. Also, LCM profiles frequently showed the presence of minor subpopulations of highly aneuploid/polyploid tumour cells that could not be identified by FCM. Therefore, LCM appears to be supplementary to FCM for studying tumour cell stemline heterogeneity.     

Dna Ploidy Studies of Benign and Malignant Tumours: Comparison of Flow Cytometry and Image Analysis Techniques Using Two Types of Cytological Specimen

DNA ploidy studies were carried out on Feulgen stained smears and cytocentrifuge preparations from 35 malignant tumours and four benign neoplasms using the CAS image analyser. The smears were prepared from scrapings from fresh tumour tissue whereas the cytocentrifuge preparations were prepared from single nuclear suspensions from paraffin-embedded cell blocks from the same tumour. Histograms obtained by image analysis of the tumour scrapes were compared with those obtained on the cytocentrifuge preparations. Concordant results were obtained in four benign tumours (100%) and 32 malignant tumours (91%). The results obtained by image analysis were also compared with results obtained by flow cytometry of the tumour tissue. Discordant results were obtained for three malignant tumours. Possible reasons for the discrepancy include sampling error, tumour heterogeneity and selective loss of cell populations during processing.     

Fluorescence in situ hybridization to interphase cell nuclei in suspension allows flow cytometric analysis of chromosome content and microscopic analysis of nuclear organization

Summary Fluorescence hybridization to interphase nuclei in liquid suspension allows quantification of chromosome-specific DNA sequences using flow cytometry and the analysis of the three-dimensional positions of these sequences in the nucleus using fluorescence microscopy. The three-dimensional structure of nuclei is substantially intact after fluorescence hybridization in suspension, permitting the study of nuclear organization by optical sectioning. Images of the distribution of probe and total DNA fluroescence within a nucleus are collected at several focal planes by quantitative fluorescence microscopy and image processing. These images can be used to reconstruct the three-dimensional organization of the target sequences in the nucleus. We demonstrate here the simultaneous localization of two human chromosomes in an interphase nucleus using two probe labeling schemes (AAF and biotin). Alternatively, dual-beam flow cytometry is used to quantify the amount of bound probe and total DNA content. We demonstrate that the intensity of probe-linked fluorescence following hybridization is proportional to the amount of target DNA over a 100-fold range in target content. This was shown using four human/hamster somatic cell hybrids carrying different numbers of human chromosomes and diploid and tetraploid human cell lines hybridized with human genomic DNA. We also show that populations of male, female, and XYY nuclei can be discriminated by measuring their fluores-cence intensity following hybridization with a Y-chromosome-specific repetitive probe. The delay in the increase in Y-specific fluorescence until the end of S-phase is consistent with the results recorded in previous studies indicating that these sequences are among the last to replicate in the genome. A chromosome-17-specific repetitive probe is used to demonstrate that target sequences as small as one megabase (Mb) can be detected using fluorescence hybridization and flow cytometry.     

Integrating cytomics and proteomics

Systems biology along with what is now classified as cytomics provides an excellent opportunity for cytometry to become integrated into studies where identification of functional proteins in complex cellular mixtures is desired. The combination of cell sorting with rapid protein-profiling platforms offers an automated and rapid technique for greater clarity, accuracy, and efficiency in identification of protein expression differences in mixed cell populations. The integration of cell sorting to purify cell populations opens up a new area for proteomic analysis. This article outlines an approach in which well defined cell analysis and separation tools are integrated into the proteomic programs within a core laboratory. In addition we introduce the concepts of flow cytometry sorting to demonstrate the importance of being able to use flow cytometry as a cell separation technology to identify and collect purified cell populations. Data demonstrating the speed and versatility of this combination of flow cytometry-based cell separation and protein separation and subsequent analysis, examples of protein maps from purified sorted cells, and an analysis of the overall procedure will be shown. It is clear that the power of cell sorting to separate heterogeneous populations of cells using specific phenotypic characteristics increases the power of rapid automated protein separation technologies.     

Imaging-cytometry revealed spatial heterogeneities of marker expression in undifferentiated human pluripotent stem cells

Human pluripotent stem cells (hPSCs) provide a good model system for studying human development and are expected as a source for both cell-based medical and pharmaceutical research application. However, stable maintenance of undifferentiated hPSCs is yet challenging, and thus routine characterization is required. Flow-cytometry is one of the popular quantitative characterization tools for hPSCs, but it has drawback of spatial information loss of the cells in the culture. Here, we have applied a two-dimensional imaging cytometry that examines undifferentiated state of hPSCs to analyze localization and morphological information of immunopositive cells in the culture. The whole images of cells in a culture vessel were acquired and analyzed by an image analyzer, IN Cell Analyzer 2000, and determined staining intensity of the cells with their positional information. We have compared the expression of five hPSC-markers in four hPSC lines using the two-dimensional imaging cytometry and flow cytometry. The results showed that immunopositive ratios analyzed by the imaging cytometry had good correlation with those by the flow cytometry. Furthermore, the imaging cytometry revealed spatially heterogenic expression of hPSC-markers in undifferentiated hPSCs. Imaging cytometry is capable of reflecting minute aberrance without losing spatial and morphological information of the cells. It would be a powerful, useful, and time-efficient tool for characterizing hPSC colonies.     

流式细胞术分析和分拣植物染色体

流式细胞术是当染色体、细胞核和细胞等颗粒随着流动的液体（水或缓冲液）通过一个测量点时,被探测器探测到,这样根据颗粒的物理和化学特征而将不同的颗粒分开并计数分拣的技术。流式细胞分析在人类基因组计划中发挥了重要作用,流式细胞技术的应用也适用于植物,目前这个技术应用范围包括流式核型分析,分拣纯化染色体,定位基因,构建文库等。文章综述了流式细胞术在植物基因组分析方面的研究进展。     

High throughput flow cytometry based yeast two-hybrid array approach for large-scale analysis of protein-protein interactions

The analysis of protein-protein interactions is a key focus of proteomics efforts. The yeast two-hybrid system (Y2H) has been the most commonly used method in genome-wide searches for protein interaction partners. However, the throughput of the current yeast two-hybrid array approach is hampered by the involvement of the time-consuming LacZ assay and/or the incompatibility of liquid handling automation due to the requirement for selection of colonies/diploids on agar plates. To facilitate large-scale Y2H assays, we report a novel array approach by coupling a GFP reporter based Y2H system with high throughput flow cytometry that enables the processing of a 96-well plate in as little as 3 min. In this approach, the yEGFP reporter has been established in both AH109 (MATa) and Y187 (MATα) reporter cells. It not only allows the generation of two copies of GFP reporter genes in diploid cells, but also allows the convenient determination of self-activators generated from both bait and prey constructs by flow cytometry. We demonstrate a Y2H array assay procedure that is carried out completely in liquid media in 96-well plates by mating bait and prey cells in liquid YPD media, selecting the diploids containing positive interaction pairs in selective media and analyzing the GFP reporter directly by flow cytometry. We have evaluated this flow cytometry based array procedure by showing that the interaction of the positive control pair P53/T is able to be reproducibly detected at 72 hr postmating compared with the negative control pairs. We conclude that our flow cytometry based yeast two-hybrid approach is robust, convenient, quantitative, and is amenable to large-scale analysis using liquid-handling automation.     

Applications of flow cytometry sorting in the pharmaceutical industry: A review

The article reviews applications of flow cytometry sorting in manufacturing of pharmaceuticals. Flow cytometry sorting is an extremely powerful tool for monitoring, screening and separating single cells based on any property that can be measured by flow cytometry. Different applications of flow cytometry sorting are classified into groups and discussed in separate sections as follows: (a) isolation of cell types, (b) high throughput screening, (c) cell surface display, (d) droplet fluorescent-activated cell sorting (FACS). Future opportunities are identified including: (a) sorting of particular fractions of the cell population based on a property of interest for generating inoculum that will result in improved outcomes of cell cultures and (b) the use of population balance models in combination with FACS to design and optimize cell cultures.     

Periodic surface array in Caulobacter crescentus: fine structure and chemical analysis

A periodic array structure on the cell surface of Caulobacter crescentus CB15 was revealed by electron microscopy of the cell envelope, using negative staining, thin-sectioning, and freeze-etching. This structural layer has been isolated from liquid cultures, in which large pieces of the two-dimensional array are shed by cells grown to high density. Often areas of intact array corresponding to the entire cell surface could be found. The hexagonally arranged structure was highly ordered and had an unusual degree of complexity, as determined by optical diffraction and computer processing of micrographs of negatively stained, isolated surface array. Filtered, reconstructed images were obtained from both normal and low-electron-dose micrographs demonstrating resolutions of 2.9 and 25 nm, respectively. Comparison by optical diffraction and image filtering of micrographs recorded by using either normal or minimal beam exposure techniques suggested that the lower-resolution features of the image are very stable to electron exposure. Gel electrophoresis indicated that isolated array preparations contain a number of polypeptides. It appears likely that more than one of these proteins are structural components of the array, in contrast to a single protein found in many bacterial surface arrays. The Caulobacter surface array is also unusual in that the repeated units are widely spaced with no apparent direct connection. Computer spatial averaging provided information about the shape and complexity of the connecting elements, and this was compared with some additional electron microscopic evidence of linking structures. Thin-sectioning studies confirmed the image features seen by other techniques, but the addition of tannic acid in the fixation procedure was required to visualize the structure. A comparison of these results with out current knowledge of the Caulobacter cell envelope suggests interesting questions about the biogenesis of this membrane structure and its involvement in the cell development process of this organism.