ArticleBiophysical journal2020
Probing Mechanisms of Transcription Elongation Through Cell-to-Cell Variability of RNA Polymerase.
Article in Biophysical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 22 citations in OpenAlex.
- Beyond the mean: genetic control of gene expression fidelity and dispersion.bioRxiv : the preprint server for biology · 2026Article
- Model-based characterization of the equilibrium dynamics of transcription initiation and promoter-proximal pausing in human cells.Nucleic acids research · 2023Article
- Regulation of the dynamic RNA Pol II elongation rate in Drosophila embryos.Cell reports · 2023Article
- Stochastic modeling of the mRNA life process: A generalized master equation.Biophysical journal · 2023Article
- Deciphering a global source of non-genetic heterogeneity in cancer cells.Nucleic acids research · 2023Article
- The minimal intrinsic stochasticity of constitutively expressed eukaryotic genes is sub-Poissonian.Science advances · 2023Article
- Collective polymerase dynamics emerge from DNA supercoiling during transcription.Biophysical journal · 2022Article
- Real-time single-cell characterization of the eukaryotic transcription cycle reveals correlations between RNA initiation, elongation, and cleavage.PLoS computational biology · 2021Article
- Statistics of Nascent and Mature RNA Fluctuations in a Stochastic Model of Transcriptional Initiation, Elongation, Pausing, and Termination.Bulletin of mathematical biology · 2020Article
- A matter of time: Using dynamics and theory to uncover mechanisms of transcriptional bursting.Current opinion in cell biology · 2020Review
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
Abstract
The process of transcription initiation and elongation are primary points of control in the regulation of gene expression. Although biochemical studies have uncovered the mechanisms involved in controlling transcription at each step, how these mechanisms manifest in vivo at the level of individual genes is still unclear. Recent experimental advances have enabled single-cell measurements of RNA polymerase (RNAP) molecules engaged in the process of transcribing a gene of interest. In this article, we use Gillespie simulations to show that measurements of cell-to-cell variability of RNAP numbers and interpolymerase distances can reveal the prevailing mode of regulation of a given gene. Mechanisms of regulation at each step, from initiation to elongation dynamics, produce qualitatively distinct signatures, which can further be used to discern between them. Most intriguingly, depending on the initiation kinetics, stochastic elongation can either enhance or suppress cell-to-cell variability at the RNAP level. To demonstrate the value of this framework, we analyze RNAP number distribution data for ribosomal genes in Saccharomyces cerevisiae from three previously published studies and show that this approach provides crucial mechanistic insights into the transcriptional regulation of these genes.
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