Flow phenotypic analysis

Majumdar, et al. studied the role of MSCs as a stromal cell precursor capable of supporting hematopoietic differentiation in vitro by outlining the phenotypic differences between MSCs and marrow-derived stromal cells (MDSCs). Flow cytometric analysis showed that MSCs are distinct from MDSC cultures and are a homogeneous cell population devoid of hematopoietic cells [656703]. 

Examining of viability of cryopreserved cells of specific phenotype by parallel determining with vital dye and analysis with flow cytometer has demonstrated that CD 13 3 and CD34 cell candidates occurred to be more sensitive to programmed cryopreservation in comparison with more differentiated erythroid precursors (glycohporin-A -positive cells). Gly-A cells viability made 93.75 1.60%. CD 34 cell viability was 79.57 4.13%,... 

N5. Noronha, A., and Richman, D. R, Simultaneous cell surface phenotype and cell cycle analysis of lymphocytes by flow cytometry. J. Histochem. Cytochem. 32, 821-829 (1984). 

Based on careful analysis of mutant phenotypes associated with a particular cellular process, researchers often can deduce the order In which a set of genes and their protein products function. Two general types of processes are amenable to such analysis (a) biosynthetic pathways In which a precursor material Is converted via one or more Intermediates to a final product and (b) signaling pathways that regulate other processes and Involve the flow of Information rather than chemical Intermediates. 

For classification in routine lymphocyte subset analysis, expert analysis is often fully adequate. For polychromic flow cytometry, particularly when both lineage and functional phenotypes are being evaluated, more sophisticated analysis may be required. Indeed, more sophisticated analysis can define subpopulations that cannot be discriminated by any combination of two-dimensional projections of multicolor data (Zamir et al., 2005). One of the first steps in enabling more sophisticated downstream analysis is ensuring acquisition of robust data. Some of the recently described analytical methods for high-dimensional flow cytometry data are listed in Table 4.2-1. 

Wikstrom, R Johansson, T. Lundstedt, S. Hagglund, L. Forsman, M. Phenotypic biomonitoring using multivariate flow C5 ometric analysis of multi-stained microorganisms. FEMS Microbiol Ecol 2001,34,187-196. 

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