Stochastic expression dynamics of a transcription factor revealed by single-molecule noise analysis

Zach Hensel, Haidong Feng, Bo Han, Christine Hatem, Jin Wang, Jie Xiao

Research output: Contribution to journalArticlepeer-review

39 Scopus citations

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 Î repressor CI, a fate-determining transcription factor. CI concentration fluctuations influence both lysogenic stability and induction of bacteriophage Î. 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.

Original languageEnglish (US)
Pages (from-to)797-802
Number of pages6
JournalNature Structural and Molecular Biology
Volume19
Issue number8
DOIs
StatePublished - Aug 2012

ASJC Scopus subject areas

  • Structural Biology
  • Molecular Biology

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