Literature DB >> 8987359

Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses.

H M Davey1, D B Kell.   

Abstract

The most fundamental questions such as whether a cell is alive, in the sense of being able to divide or to form a colony, may sometimes be very hard to answer, since even axenic microbial cultures are extremely heterogeneous. Analyses that seek to correlate such things as viability, which is a property of an individual cell, with macroscopic measurements of culture variables such as ATP content, respiratory activity, and so on, must inevitably fail. It is therefore necessary to make physiological measurements on individual cells. Flow cytometry is such a technique, which allows one to analyze cells rapidly and individually and permits the quantitative analysis of microbial heterogeneity. It therefore offers many advantages over conventional measurements for both routine and more exploratory analyses of microbial properties. While the technique has been widely applied to the study of mammalian cells, is use in microbiology has until recently been much more limited, largely because of the smaller size of microbes and the consequently smaller optical signals obtainable from them. Since these technical barriers no longer hold, flow cytometry with appropriate stains has been used for the rapid discrimination and identification of microbial cells, for the rapid assessment of viability and of the heterogeneous distributions of a wealth of other more detailed physiological properties, for the analysis of antimicrobial drug-cell interactions, and for the isolation of high-yielding strains of biotechnological interest. Flow cytometric analyses provide an abundance of multivariate data, and special methods have been devised to exploit these. Ongoing advances mean that modern flow cytometers may now be used by nonspecialists to effect a renaissance in our understanding of microbial heterogeneity.

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Year:  1996        PMID: 8987359      PMCID: PMC239459          DOI: 10.1128/mr.60.4.641-696.1996

Source DB:  PubMed          Journal:  Microbiol Rev        ISSN: 0146-0749


  590 in total

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Review 5.  Heterogeneity of kinetic parameters of enzymes in situ in rat liver lobules.

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Journal:  Histochem Cell Biol       Date:  1995-02       Impact factor: 4.304

6.  PE-CY5. A new fluorescent antibody label for three-color flow cytometry with a single laser.

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Journal:  Ann N Y Acad Sci       Date:  1993-03-20       Impact factor: 5.691

7.  Tracking of individual cell cohorts in asynchronous Saccharomyces cerevisiae populations.

Authors:  D Porro; F Srienc
Journal:  Biotechnol Prog       Date:  1995 May-Jun

Review 8.  Helicobacter pylori infection as a cause of gastritis, duodenal ulcer, gastric cancer and nonulcer dyspepsia: a systematic overview.

Authors:  S J Veldhuyzen van Zanten; P M Sherman
Journal:  CMAJ       Date:  1994-01-15       Impact factor: 8.262

9.  The Ribosomal Database Project (RDP).

Authors:  B L Maidak; G J Olsen; N Larsen; R Overbeek; M J McCaughey; C R Woese
Journal:  Nucleic Acids Res       Date:  1996-01-01       Impact factor: 16.971

10.  Effects of environmental factors present in the St. Lawrence Estuary (Quebec, Canada) on experimental survival of Salmonella salamae as determined by flow cytometry.

Authors:  P Monfort; B Baleux
Journal:  Can J Microbiol       Date:  1994-09       Impact factor: 2.419

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  161 in total

1.  A flow cytometry method for rapid detection and enumeration of total bacteria in milk.

Authors:  T S Gunasekera; P V Attfield; D A Veal
Journal:  Appl Environ Microbiol       Date:  2000-03       Impact factor: 4.792

Review 2.  Prochlorococcus, a marine photosynthetic prokaryote of global significance.

Authors:  F Partensky; W R Hess; D Vaulot
Journal:  Microbiol Mol Biol Rev       Date:  1999-03       Impact factor: 11.056

3.  Differentiation of Phytophthora infestans sporangia from other airborne biological particles by flow cytometry.

Authors:  Jennifer P Day; Douglas B Kell; Gareth W Griffith
Journal:  Appl Environ Microbiol       Date:  2002-01       Impact factor: 4.792

4.  Fluorescent method for monitoring cheese starter permeabilization and lysis.

Authors:  C J Bunthof; S van Schalkwijk; W Meijer; T Abee; J Hugenholtz
Journal:  Appl Environ Microbiol       Date:  2001-09       Impact factor: 4.792

5.  Rapid method for detection of gram-positive and -negative bacteria in milk from cows with moderate or severe clinical mastitis.

Authors:  S P Yazdankhah; H Sørum; H J Larsen; G Gogstad
Journal:  J Clin Microbiol       Date:  2001-09       Impact factor: 5.948

6.  Inducible gene expression by nonculturable bacteria in milk after pasteurization.

Authors:  Thusitha S Gunasekera; Anders Sørensen; Paul V Attfield; Søren J Sørensen; Duncan A Veal
Journal:  Appl Environ Microbiol       Date:  2002-04       Impact factor: 4.792

7.  Development of a flow cytometric method to analyze subpopulations of bacteria in probiotic products and dairy starters.

Authors:  Christine J Bunthof; Tjakko Abee
Journal:  Appl Environ Microbiol       Date:  2002-06       Impact factor: 4.792

8.  Bacterivory rate estimates and fraction of active bacterivores in natural protist assemblages from aquatic systems

Authors: 
Journal:  Appl Environ Microbiol       Date:  1999-04       Impact factor: 4.792

9.  A staining method for assessing the viability of Esteya vermicola conidia.

Authors:  Yunbo Wang; NguyenTrong Thang; Zheng Li; Yongan Zhang; Jingjie Li; Jianjie Xue; Lijuan Gu; VuThuy Hong; Lee Mira; Changkeun Sung
Journal:  Curr Microbiol       Date:  2014-03-01       Impact factor: 2.188

10.  Mass Spectrometry Measurement of Single Suspended Cells Using a Combined Cell Manipulation System and a Single-Probe Device.

Authors:  Shawna J Standke; Devon H Colby; Ryan C Bensen; Anthony W G Burgett; Zhibo Yang
Journal:  Anal Chem       Date:  2019-01-18       Impact factor: 6.986

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