ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2016
Dissecting the stochastic transcription initiation process in live Escherichia coli.
Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 38 citations in OpenAlex.
- Thermal Shifts Dominate Single-Gene Responses to Transcription-Targeting Antibiotics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Dynamics of bacterial operons during genome-wide stresses is influenced by premature terminations and internal promoters.Science advances · 2025Article
- Analysis of a detailed multi-stage model of stochastic gene expression using queueing theory and model reduction.Mathematical biosciences · 2024Article
- The minimal intrinsic stochasticity of constitutively expressed eukaryotic genes is sub-Poissonian.bioRxiv : the preprint server for biology · 2023Article
- Regulatory Mechanisms for Transcriptional Bursting Revealed by an Event-Based Model.Research (Washington, D.C.) · 2023Article
- The transcription factor network of E. coli steers global responses to shifts in RNAP concentration.Nucleic acids research · 2022Article
- Using average transcription level to understand the regulation of stochastic gene activation.Royal Society open science · 2022Article
- Analytical kinetic model of native tandem promoters in E. coli.PLoS computational biology · 2022Article
- Transcription closed and open complex formation coordinate expression of genes with a shared promoter region.Journal of the Royal Society, Interface · 2019Article
- Diversity, versatility and complexity of bacterial gene regulation mechanisms: opportunities and drawbacks for applications in synthetic biology.FEMS microbiology reviews · 2019Review
- Chromosome and plasmid-borne PScientific reports · 2019Article
- Added value of autoregulation and multi-step kinetics of transcription initiation.Royal Society open science · 2018Article
- Rate-limiting steps in transcription dictate sensitivity to variability in cellular components.Scientific reports · 2017Article
- Polar Localization of the Serine Chemoreceptor of Escherichia coli Is Nucleoid Exclusion-Dependent.Biophysical journal · 2016Article
- Temperature-Dependent Model of Multi-step Transcription Initiation in Escherichia coli Based on Live Single-Cell Measurements.PLoS computational biology · 2016Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We investigate the hypothesis that, in Escherichia coli, while the concentration of RNA polymerases differs in different growth conditions, the fraction of RNA polymerases free for transcription remains approximately constant within a certain range of these conditions. After establishing this, we apply a standard model-fitting procedure to fully characterize the in vivo kinetics of the rate-limiting steps in transcription initiation of the Plac/ara-1 promoter from distributions of intervals between transcription events in cells with different RNA polymerase concentrations. We find that, under full induction, the closed complex lasts ∼788 s while subsequent steps last ∼193 s, on average. We then establish that the closed complex formation usually occurs multiple times prior to each successful initiation event. Furthermore, the promoter intermittently switches to an inactive state that, on average, lasts ∼87 s. This is shown to arise from the intermittent repression of the promoter by LacI. The methods employed here should be of use to resolve the rate-limiting steps governing the in vivo dynamics of initiation of prokaryotic promoters, similar to established steady-state assays to resolve the in vitro dynamics.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.