| Literature DB >> 32919307 |
Nadia Maria Vieira Sampaio1, Mary J Dunlop2.
Abstract
Clonal cell populations often display significant cell-to-cell phenotypic heterogeneity, even when maintained under constant external conditions. This variability can result from the inherently stochastic nature of transcription and translation processes, which leads to varying numbers of transcripts and proteins per cell. Here, we showcase studies that reveal links between stochastic cellular events and biological functions in isogenic microbial populations. Then, we highlight emerging tools from engineering, computation, and synthetic and molecular biology that enable precise measurement, control, and analysis of gene expression noise in microorganisms. The capabilities offered by this sophisticated toolbox will shape future directions in the field and generate insight into the behavior of living systems at the single-cell level.Entities:
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Year: 2020 PMID: 32919307 PMCID: PMC7722170 DOI: 10.1016/j.mib.2020.08.002
Source DB: PubMed Journal: Curr Opin Microbiol ISSN: 1369-5274 Impact factor: 7.934