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- Title
Stochastic expression dynamics of a transcription factor revealed by single-molecule noise analysis.
- Authors
Hensel, Zach; Feng, Haidong; Han, Bo; Hatem, Christine; Wang, Jin; Xiao, Jie
- Abstract
Gene expression is inherently stochastic; precise gene regulation by transcription factors is important for cell-fate determination. Many transcription factors regulate their own expression, suggesting that autoregulation counters intrinsic stochasticity in gene expression. Using a new strategy, cotranslational activation by cleavage (CoTrAC), we probed the stochastic expression dynamics of cI, which encodes the bacteriophage λ repressor CI, a fate-determining transcription factor. CI concentration fluctuations influence both lysogenic stability and induction of bacteriophage λ. We found that the intrinsic stochasticity in cI expression was largely determined by CI expression level irrespective of autoregulation. Furthermore, extrinsic, cell-to-cell variation was primarily responsible for CI concentration fluctuations, and negative autoregulation minimized CI concentration heterogeneity by counteracting extrinsic noise and introducing memory. This quantitative study of transcription factor expression dynamics sheds light on the mechanisms cells use to control noise in gene regulatory networks.
- Subjects
GENE expression; TRANSCRIPTION factors; GENETIC regulation; GENE regulatory networks; ESCHERICHIA coli; QUANTITATIVE research
- Publication
Nature Structural & Molecular Biology, 2012, Vol 19, Issue 8, p797
- ISSN
1545-9993
- Publication type
Article
- DOI
10.1038/nsmb.2336