Literature DB >> 11000426

Microbial analysis at the single-cell level: tasks and techniques.

H M Shapiro1.   

Abstract

The heterogeneity of microorganisms themselves is orders of magnitude greater than the heterogeneity of perspectives from which they are contemplated by human observers. Even closely related species may exhibit marked differences in biochemistry and behavior, and, under many conditions, similar, striking heterogeneity may exist within a clonal population of organisms which, in the aggregate, occupy too small a region of space to be visible to the unaided human eye. Using methods of microscopy, microspectrophotometry, and cytometry developed and refined since the 1960s, it is now possible to characterize the physiology and pharmacology of individual microorganisms, and, in many cases, to isolate organisms with selected characteristics for culture and/or further analysis. These methods include fluorescent and confocal microscopy, scanning and image cytometry, and flow cytometry. Fluorescence measurements are particularly important in single-cell analysis; they allow demonstration and quantification of cells' nucleic acid content and sequence, of the presence of specific antigens, and of physiologic characteristics such as enzyme activity and membrane potential. Multiparameter cytometry, combined with cell sorting, provides insight into population heterogeneity and allows selected cells to be separated for further analysis and culture. The technology is applicable to a wide range of problems in contemporary microbiology, including strain selection and the development of antimicrobial agents.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 11000426     DOI: 10.1016/s0167-7012(00)00167-6

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  34 in total

Review 1.  Single-cell microbiology: tools, technologies, and applications.

Authors:  Byron F Brehm-Stecher; Eric A Johnson
Journal:  Microbiol Mol Biol Rev       Date:  2004-09       Impact factor: 11.056

2.  Rapid detection of the top six non-O157 Shiga toxin-producing Escherichia coli O groups in ground beef by flow cytometry.

Authors:  Narasimha V Hegde; Bhushan M Jayarao; Chitrita DebRoy
Journal:  J Clin Microbiol       Date:  2012-04-04       Impact factor: 5.948

3.  Electrooptical monitoring of cell polarizability and cell size in aerobic Escherichia coli batch cultivations.

Authors:  Stefan Junne; M Nicolas Cruz-Bournazou; Alexander Angersbach; Peter Götz
Journal:  J Ind Microbiol Biotechnol       Date:  2010-05-29       Impact factor: 3.346

4.  Experimental use of flow cytometry to detect bacteria viability after hyperbaric oxygen exposure: Work in progress report.

Authors:  Miroslav Rozloznik; Alexandra Lochmanova; Dittmar Chmelar; Michal Hajek; Karin Korytkova; Monika Cisarikova
Journal:  Diving Hyperb Med       Date:  2020-06-30       Impact factor: 0.887

5.  Development and application of flow-cytometric techniques for analyzing and sorting endospore-forming clostridia.

Authors:  Bryan P Tracy; Stefan M Gaida; Eleftherios T Papoutsakis
Journal:  Appl Environ Microbiol       Date:  2008-10-17       Impact factor: 4.792

Review 6.  Impact of spontaneous prophage induction on the fitness of bacterial populations and host-microbe interactions.

Authors:  Arun M Nanda; Kai Thormann; Julia Frunzke
Journal:  J Bacteriol       Date:  2014-11-17       Impact factor: 3.490

7.  The use of fluorescent techniques in combination with flow cytometry for fast counting of Bifidobacterium longum ATCC BAA-2753 in BIFICO capsule.

Authors:  Yuan Gao; Hong-Jing Yu; Bin Wen
Journal:  Food Sci Biotechnol       Date:  2018-05-23       Impact factor: 2.391

8.  Multiparametric flow cytometry and cell sorting for the assessment of viable, injured, and dead bifidobacterium cells during bile salt stress.

Authors:  Kaouther Ben Amor; Pieter Breeuwer; Patrick Verbaarschot; Frank M Rombouts; Antoon D L Akkermans; Willem M De Vos; Tjakko Abee
Journal:  Appl Environ Microbiol       Date:  2002-11       Impact factor: 4.792

9.  Flow-cytometric cell sorting and subsequent molecular analyses for culture-independent identification of bacterioplankton involved in dimethylsulfoniopropionate transformations.

Authors:  Xiaozhen Mou; Mary Ann Moran; Ramunas Stepanauskas; José M González; Robert E Hodson
Journal:  Appl Environ Microbiol       Date:  2005-03       Impact factor: 4.792

10.  An automatic system to study sperm motility and energetics.

Authors:  Linda Z Shi; Jaclyn M Nascimento; Charlie Chandsawangbhuwana; Elliot L Botvinick; Michael W Berns
Journal:  Biomed Microdevices       Date:  2008-08       Impact factor: 2.838

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.