Literature DB >> 12638660

Using flow cytometry to quantify microbial heterogeneity.

Hazel M Davey1, Michael K Winson.   

Abstract

Flow cytometry is a powerful technique for the study of single cells, and thus it is of particular utility in the study of heterogeneity in microbial populations. This review seeks to highlight the role of flow cytometric analyses in studies of microbial heterogeneity, drawing wherever possible on recently published research articles. Whilst microbial heterogeneity is well documented in both natural and laboratory environments, the underlying causes are less well understood. Possible sources for the heterogeneity that is observed in microbial systems are discussed, together with the flow cytometric tools that aid its study. The role of flow cytometry in molecular biology is discussed with reference to gene reporter systems, which enable heterogeneity of gene expression to be monitored. With the recent sequencing of a variety of microbial genomes, it is anticipated that flow cytometry will have an increasing role to play in studying the effects of gene expression and mutation on heterogeneity, and in resolving the interactions of genetics and physiology.

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Year:  2003        PMID: 12638660

Source DB:  PubMed          Journal:  Curr Issues Mol Biol        ISSN: 1467-3037            Impact factor:   2.081


  14 in total

1.  Screening of Chlamydomonas reinhardtii Populations with Single-Cell Resolution by Using a High-Throughput Microscale Sample Preparation for Matrix-Assisted Laser Desorption Ionization Mass Spectrometry.

Authors:  Jasmin Krismer; Jens Sobek; Robert F Steinhoff; Stephan R Fagerer; Martin Pabst; Renato Zenobi
Journal:  Appl Environ Microbiol       Date:  2015-06-05       Impact factor: 4.792

Review 2.  The ecology of wine fermentation: a model for the study of complex microbial ecosystems.

Authors:  C G Conacher; N A Luyt; R K Naidoo-Blassoples; D Rossouw; M E Setati; F F Bauer
Journal:  Appl Microbiol Biotechnol       Date:  2021-04-09       Impact factor: 4.813

3.  Genetic diversity of viable, injured, and dead fecal bacteria assessed by fluorescence-activated cell sorting and 16S rRNA gene analysis.

Authors:  Kaouther Ben-Amor; Hans Heilig; Hauke Smidt; Elaine E Vaughan; Tjakko Abee; Willem M de Vos
Journal:  Appl Environ Microbiol       Date:  2005-08       Impact factor: 4.792

4.  Xenobiotics shape the physiology and gene expression of the active human gut microbiome.

Authors:  Corinne Ferrier Maurice; Henry Joseph Haiser; Peter James Turnbaugh
Journal:  Cell       Date:  2013-01-17       Impact factor: 41.582

5.  Tracking bacterial lineages in complex and dynamic environments with applications for growth control and persistence.

Authors:  Somenath Bakshi; Emanuele Leoncini; Charles Baker; Silvia J Cañas-Duarte; Burak Okumus; Johan Paulsson
Journal:  Nat Microbiol       Date:  2021-05-20       Impact factor: 17.745

6.  A novel staining protocol for multiparameter assessment of cell heterogeneity in Phormidium populations (cyanobacteria) employing fluorescent dyes.

Authors:  Daria Tashyreva; Josef Elster; Daniela Billi
Journal:  PLoS One       Date:  2013-02-20       Impact factor: 3.240

7.  Effect of nitrogen starvation on desiccation tolerance of Arctic Microcoleus strains (cyanobacteria).

Authors:  Daria Tashyreva; Josef Elster
Journal:  Front Microbiol       Date:  2015-04-08       Impact factor: 5.640

8.  Correlation between histological grading and ploidy status in potentially malignant disorders of the oral mucosa: A flow cytometric analysis.

Authors:  T Vijayavel; N Aswath
Journal:  J Oral Maxillofac Pathol       Date:  2013-05

9.  Sorting of Streptomyces cell pellets using a complex object parametric analyzer and sorter.

Authors:  Marloes L C Petrus; G Jerre van Veluw; Han A B Wösten; Dennis Claessen
Journal:  J Vis Exp       Date:  2014-02-13       Impact factor: 1.355

10.  Bacteriophage tailspike protein based assay to monitor phase variable glucosylations in Salmonella O-antigens.

Authors:  Andreas Schmidt; Wolfgang Rabsch; Nina K Broeker; Stefanie Barbirz
Journal:  BMC Microbiol       Date:  2016-09-07       Impact factor: 3.605

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