Quantitative single cell and single molecule proteomics for clinical studies

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Topology-based fluorescence image analysis for automated cell identification and segmentation

Cell segmentation refers to the body of techniques used to identify cells in images and extract biologically relevant information from them; however, manual segmentation is laborious and subjective. We present Topological Boundary Line Estimation using Recurrence Of Neighbouring Emissions (TOBLERONE), a topological image analysis tool which identifies persistent homological image features as opposed to the geometric analysis commonly employed. We demonstrate that topological data analysis can provide accurate segmentation of arbitrarily-shaped cells, offering a means for automatic and objective data extraction. One cellular feature of particular interest in biology is the plasma membrane, which has been shown to present varying degrees of lipid packing, or membrane order, depending on the function and morphology of the cell type. With the use of environmentally-sensitive dyes, images derived from confocal microscopy can be used to quantify the degree of membrane order. We demonstrate that TOBLERONE is capable of automating this task.     

Multiparametric cell cycle analysis by automated microscopy

Cell cycle analysis using flow cytometry (FC) to measure cellular DNA content is a common procedure in drug mechanism of action studies. Although this technique lends itself readily to cell lines that grow in suspension, adherent cell cultures must be resuspended in a cumbersome and potentially invasive procedure that normally involves trypsinization and mechanical agitation of monolayer cultures. High-content analysis (HCA), an automated microscopy-based technology, is well suited to analysis of monolayer cell cultures but provides intrinsically less accurate determination of cellular DNA content than does FC and thus is not the method of choice for cell cycle analysis. Using Cellomics's ArrayScan reader, the authors have developed a 4-color multiparametric HCA approach for cell cycle analysis of adherent cells based on detection of DNA content (4,6-diamidino-2-phenylindole [DAPI] fluorescence), together with the known cell cycle markers bromo-2-deoxyuridine (BrdU) incorporation, cyclin B1 expression, and histone H3 (Ser28) phosphorylation within a single cell population. Considering all 4 markers together, a reliable and accurate quantification of cell cycle phases was possible, as compared with flow cytometric analysis. Using this assay, specific cell cycle blocks induced by treatment with thymidine, paclitaxel, or nocodazole as test drugs were easily monitored in adherent cultures of U-2 OS osteosarcoma cells.     

Dye free automated cell counting and analysis

We have developed an automated cell counting method that uses images obtained at multiple focal heights to enumerate cells in confluent culture. By taking the derivative of image intensity with respect to focal height using two complementary images, we are able to count high‐density monolayers of cells over a large image area. Our method resists errors arising from variability in the focal plane caused by flatness or tilt non‐uniformities with a minimal amount of focal plane alignment, allowing the automated collection of images across a large area. Biotechnol. Bioeng. © 2013 Wiley Periodicals, Inc.     

Quantitative analysis of cell nucleus organisation

There are almost 1,300 entries for higher eukaryotes in the Nuclear Protein Database. The proteins' subcellular distribution patterns within interphase nuclei can be complex, ranging from diffuse to punctate or microspeckled, yet they all work together in a coordinated and controlled manner within the three-dimensional confines of the nuclear volume. In this review we describe recent advances in the use of quantitative methods to understand nuclear spatial organisation and discuss some of the practical applications resulting from this work.     

Comparative morphological studies of yeast cells using automated image analysis

The ultrastructural alterations in cells of Candida utilis caused by the influence of copper ions have been studied by means of quantitative image analysis. A model has been proposed which presents the following informations: The main effect of the copper ions is represented by an increase of the volume of the whole cell and of that part of the cell which consists of nucleus, vacuoles, and inclusions (particles and globules). Nevertheless, neither the absolute volume of mitochondria, nor the density of mitochondria are influenced by high concentrations of copper ions in the culture medium.     

Contextual analysis and intermediate cell markers enhance high-resolution cell image analysis for automated cervical smear diagnosis.

Until now, efforts to automate cervical smear diagnosis have focused on analyzing features of individual cells. In a complex specimen such as that obtained from a cervical scrape, diagnostically significant cells may not be adequately represented or may elude detection by the automated technology. An approach is needed that extracts additional quantitative information from cervical smears beyond what the cell-by-cell approach can provide. A new methodology, contextual analysis, was developed to extract global quantitative information about cells, cell clusters, and background debris. This pilot study was designed to compare the efficacy of contextual analysis with high-resolution, single cell analysis and the analysis of intermediate cell markers. Thirty-four samples prepared as monolayers and stained with the Feulgen-Thionin/Congo Red stain were measured. Contextual analysis alone was able to classify 91% of the smears correctly; single cell analysis classified 94% of the cells correctly; and the intermediate cell analysis correctly identified the smear diagnosis for 84% of the cells. When all three analysis methods were combined into a simple smear level classifier, the overall smear classification accuracy was improved over those obtained using the three methodologies alone.     

Quantitative analysis of disseminated tumor cells in the bone marrow by automated fluorescence image analysis

Accurate quantification of disseminated tumor cells in hematological samples is of fundamental importance in clinical oncology. However, even highly standardized protocols allow only a rough estimation of the total analyzed cell number, as sample processing may have adverse effects on the number of cells available for analysis. The fluorescence-based microscopic scanning system (MetaCyte) detects, counts, captures, and relocates immunolabeled tumor cells in hematopoietic samples. We report on a cell-counting approach that has been implemented into the scanning system to precisely quantify the number of cells per slide. The cell-counting function, which was designed to determine the number of all nucleated (DAPI-stained) cells on the slide, allows an accurate counting of the tumor cells and the total number of cells analyzed in the given microscopic sample. The reliability of the cell-counting approach was demonstrated by the analysis of DAPI-stained images with 18-1,363 nucleated cells. A good correlation (r(2) = 0.965) between the manually and automatically gained results was observed. The counting accuracy could even be optimized after implementing a correction factor. To prove or disprove an interslide variation, routine bone marrow cytospin preparations from neuroblastoma patients were immunostained for GD2/FITC and counterstained with DAPI. Automatic cell counting of cytospin preparations from the same patients showed significant differences in the total cell number (up to 67% cell loss during preparation, with a maximum interslide difference of 4.7 x 10(5) mononuclear cells). We conclude that determination of the tumor cell content in hematopoietic samples is only reliable when it is performed together with accurate cell counting.     

Fluorescent dyes for lymphocyte migration and proliferation studies

Fluorescent dyes are increasingly being exploited to track lymphocyte migration and proliferation. The present paper reviews the properties and performance of some 14 different fluorescent dyes that have been used during the last 20 years to monitor lymphocyte migration. Of the 14 dyes discussed, two stand out as being the most versatile in terms of long-term tracking of lymphocytes and their ability to quantify lymphocyte proliferation. They are the intracellular covalent coupling dye carboxyfluorescein diacetate succinimidyl ester (CFSE) and the membrane inserting dye PKH26. Both dyes have the advantage that they can be used to track cell division, both in vitro and in vivo, due to the progressive halving of the fluorescence intensity of the dyes in cells after each division. However, CFSE appears to have the edge over PKH26 based on homogeneity of lymphocyte staining and cost. Two other fluorescent dyes, although not suitable for lymphocyte proliferation studies, are valuable tracking dyes for short-term (up to 3 day) lymphocyte migration experiments, namely the DNA-binding dye Hoechst 33342 and the cytoplasmic dye calcein. In the future it is highly likely that additional fluorescent dyes, with different spectral properties to CFSE, will become available, as well as membrane inserting fluorescent dyes that more homogeneously label lymphocytes than PKH26.     

Quantitative analysis of T cell homeostatic proliferation

T cell homeostatic proliferation occurs on transfer of T cells into lymphopenic recipients; transferred cells undergo several rounds of division in the absence of specific antigen stimulation. For a quantitative analysis of this phenomenon, we applied a mathematical method to describe proliferating T cells to match peak distributions from actual CFSE dilution data. For in vitro stimulation of T cells with anti-CD3/anti-CD28, our simulation confirmed a high proportion of cells entering cell cycle with a low proportion undergoing apoptosis. When applied to homeostatic proliferation, it described striking differences in CD4 and CD8 T cell proliferation rates, and accurately predicted that successive divisions were accompanied by higher rates of apoptosis, limiting the accumulation of proliferating cells. Thus, the presence of multiple CFSE dilution peaks cannot be considered equivalent to lymphocyte expansion. Finally, genetic effects were identified that may help explain links between homeostatic proliferation and autoimmunity.     

Fractionation of the ribosome inactivating protein preparations with triazine dyes

Aspergillins are ribosome-inactivating proteins (RIPs), isolated from several strains of Aspergillus. The interaction between Cibacron Blue F3GA and two members of this family, alpha sarcin and mitogillin, and other RIPs of type I, was studied. Alpha sarcin retention depended on pH and ionic strength. By chromatography on Affi-Gel Blue in mild experimental conditions, mitogillin and PAP-I did not interact with the dye, whereas 40% of alpha sarcin and 70-90% of briodin, RTA and gelonin were recovered in the bound fraction. In all cases, the major fraction showed a higher toxicity level in protein synthesis inhibition assays. The unbound alpha sarcin, conjugated with the anti-ovarian carcinoma monoclonal antibody MOv17, showed on OVCA 432 a cytotoxicity which was 900 times higher than that exerted by the alpha sarcin alone.