Literature DB >> 10986417

Phagocytosis: measurement by flow cytometry.

A K Lehmann1, S Sornes, A Halstensen.   

Abstract

Defects in phagocyte function or in the interactions between phagocytes, microorganisms and serum factors are associated with increased susceptibility to infection. Flow cytometry (FCM) offers rapid and reproducible measurements of single cells in suspension and, following staining with one or more fluorochromes, simultaneous biochemical and functional examinations of the complex process of phagocytosis. FCM techniques have been used for more than two decades to evaluate phagocyte cellular defects, as well as species-specific serum opsonic activities during disease and after vaccination. Recently, multiparameter assays have been developed to reveal the antigen-specificity of opsonophagocytic responses. This review presents basic methodological principles of FCM quantitation of phagocytosis and intracellular oxidative burst, and assays to evaluate species-specific and antigen-specific opsonophagocytosis. The calculations performed to present opsonophagocytosis results, as well as technical and methodological challenges are discussed, and examples of applications are presented.

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Year:  2000        PMID: 10986417     DOI: 10.1016/s0022-1759(00)00237-4

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  39 in total

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4.  High-resolution quantification of discrete phagocytic events by live cell time-lapse high-content microscopy imaging.

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Authors:  Asya Smirnov; Michael D Solga; Joanne Lannigan; Alison K Criss
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7.  Characterisation of the green turtle's leukocyte subpopulations by flow cytometry and evaluation of their phagocytic activity.

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8.  Identification of subpopulations of bovine mammary-gland phagocytes and evaluation of sensitivity and specificity of morphologic and functional indicators of bovine mastitis.

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Journal:  Can J Vet Res       Date:  2002-07       Impact factor: 1.310

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Authors:  Ali Bashashati; Ryan R Brinkman
Journal:  Adv Bioinformatics       Date:  2009-12-06

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Authors:  Kenneth Lo; Florian Hahne; Ryan R Brinkman; Raphael Gottardo
Journal:  BMC Bioinformatics       Date:  2009-05-14       Impact factor: 3.169

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