Functional roles of microbial cell-to-cell heterogeneity and emerging technologies for analysis and control

被引:21
|
作者
Sampaio, Nadia Maria Vieira [1 ,2 ,3 ]
Dunlop, Mary J. [1 ,2 ]
机构
[1] Boston Univ, Dept Biomed Engn, Boston, MA 02215 USA
[2] Boston Univ, Biol Design Ctr, Boston, MA 02215 USA
[3] Brazilian Ctr Res Energy & Mat, Brazilian Biorenewables Natl Lab, Campinas, SP, Brazil
基金
美国国家卫生研究院;
关键词
STOCHASTIC GENE-EXPRESSION; SINGLE-CELL; NOISE; FATE; TIME; MICROFLUIDICS; INTERROGATION; FLUORESCENT; TRACKING;
D O I
10.1016/j.mib.2020.08.002
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
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.
引用
收藏
页码:87 / 94
页数:8
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