Literature DB >> 10480545

Quantification of phagocytosis in human neutrophils by flow cytometry.

M Heinzelmann1, S A Gardner, M Mercer-Jones, A J Roll, H C Polk.   

Abstract

Phagocytosis represents a central element of the host response to microbial invasion. We describe a flow cytometric method for measuring the kinetics of phagocytosis of two bacteria by human polymorphonuclear leukocytes (PMNs). Over a 60-min period, isolated human PMNs were exposed to Staphylococcus aureus (rapidly phagocytosed) and Klebsiella pneumoniae (slowly phagocytosed). This method distinguished adherent from ingested bacteria by quenching fluorescein isothiocyanate-labeled extracellular bacteria with ethidium bromide. This further allowed the exclusion of dead, highly permeable, and subsequently bright-red fluorescent PMNs. Our experiments with two different bacteria, various PMN-to-bacteria ratios (1:1, 1:10, 1:100), and different individuals proved that 1) flow cytometric analysis is accurate and useful for characterizing phagocytosis, 2) adherent bacteria can be distinguished from ingested bacteria after quenching with ethidium bromide, and that 3) phagocytosis kinetics of two bacteria with different onsets of phagocytosis can be determined by flow cytometry and the assessment of a score that quantifies phagocytosis.

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Mesh:

Year:  1999        PMID: 10480545     DOI: 10.1111/j.1348-0421.1999.tb02435.x

Source DB:  PubMed          Journal:  Microbiol Immunol        ISSN: 0385-5600            Impact factor:   1.955


  13 in total

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3.  Impact of glycemic control on capsular polysaccharide biosynthesis and opsonophagocytosis of Klebsiella pneumoniae: Implications for invasive syndrome in patients with diabetes mellitus.

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4.  Capsular serotype K1 or K2, rather than magA and rmpA, is a major virulence determinant for Klebsiella pneumoniae liver abscess in Singapore and Taiwan.

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Journal:  Cytometry A       Date:  2009-09       Impact factor: 4.355

8.  A suitable streptomycin-resistant mutant for constructing unmarked in-frame gene deletions using rpsL as a counter-selection marker.

Authors:  Yu-Kuo Tsai; Ci-Hong Liou; Jung-Chung Lin; Ling Ma; Chang-Phone Fung; Feng-Yee Chang; L Kristopher Siu
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Journal:  PLoS One       Date:  2012-07-20       Impact factor: 3.240

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Authors:  Chen-Hsiang Lee; Lin-Hui Su; Jien-Wei Liu; Chia-Chi Chang; Rong-Fu Chen; Kuender-D Yang
Journal:  BMC Infect Dis       Date:  2014-01-30       Impact factor: 3.090

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