Constraining the complexity of promoter dynamics using fluctuations in gene expression.

ABSTRACT: Gene expression is an inherently stochastic process with transcription of mRNAs often occurring in bursts: short periods of activity followed by typically longer periods of inactivity. While a simple model involving switching between two promoter states has been widely used to analyze transcription dynamics, recent experimental observations have provided evidence for more complex kinetic schemes underlying bursting. Specifically, experiments provide evidence for complexity in promoter dynamics during the switch from the transcriptionally inactive to the transcriptionally active state. An open question in the field is: what is the minimal complexity needed to model promoter dynamics and how can we determine this? Here, we show that measurements of mRNA fluctuations can be used to set fundam

SUBMITTER: Kumar N 

PROVIDER: S-EPMC8011943 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature