2014
DOI: 10.3109/07388551.2014.899556
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Measuring gene expression in single bacterial cells: recent advances in methods and micro-devices

Abstract: Populations of bacterial cells that grow under the same conditions and/or environments are often considered to be uniform and thus can be described by ensemble average values of their physiologic, phenotypic, genotypic or other parameters. However, recent evidence suggests that cell-to-cell differences at the gene expression level could be an order of magnitude greater than previously thought even for isogenic bacterial populations. Such gene expression or transcriptional-level heterogeneity determines not onl… Show more

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Cited by 16 publications
(13 citation statements)
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References 160 publications
(195 reference statements)
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“…Then, other cellular characteristics remain in the dark, if one does not deploy global omics-methods. Nevertheless, even these are only partly available with single cell resolution or possible with big invest in labour and time [34,35].…”
mentioning
confidence: 99%
“…Then, other cellular characteristics remain in the dark, if one does not deploy global omics-methods. Nevertheless, even these are only partly available with single cell resolution or possible with big invest in labour and time [34,35].…”
mentioning
confidence: 99%
“…Roughly 12 years ago, partly in response to the inability of metagenomics to link functions to species and also because information needed to make sense of metagenomics data is lacking for a multitude of still uncultured microorganisms (Su et al, 2012; Shi et al, 2015), researchers started investigating ways to isolate and sequence the DNA and RNAs of individual cells. A number of articles (e.g., Wang and Bodovitz, 2010; Lasken, 2012, 2013; Pamp et al, 2012; Stepanauskas, 2012, 2015; Yilmaz and Singh, 2012; Blainey, 2013; Woyke et al, 2017) have recently retraced some of the key breakthroughs that have enabled what could probably be viewed as a fundamental revolution, in particular in the application of molecular biology techniques to environmental systems (Ishoey et al, 2008).…”
Section: The Microbiological Scenementioning
confidence: 99%
“…Another emerging alternative method, single cell-level analysis, can be considered for PAO research (Bontoux et al, 2008;Shi et al, 2014;Tang et al, 2009). Gene expression at the single cell level can be measured using different approaches, such as RT-qPCR (Shi et al, 2013;White et al, 2011) or image-based methods (Taniguchi et al, 2010;Young et al, 2011).…”
Section: Challenges and Research Needsmentioning
confidence: 99%