Eukaryotic transcriptional dynamics: from single molecules to cell populations
Open accessAbstract
Transcriptional regulation is achieved through combinatorial interactions between regulatory elements in the human genome and a vast range of factors that modulate the recruitment and activity of RNA polymerase. Experimental approaches for studying transcription in vivo now extend from single-molecule techniques to genome-wide measurements. Parallel to these developments is the need for testable quantitative and predictive models for understanding gene regulation. These conceptual models must also provide insight into the dynamics of transcription and the variability that is observed at the single-cell level. In this Review, we discuss recent results on transcriptional regulation and also the models those results engender. We show how a non-equilibrium description informs our view of transcription by explicitly considering time- and energy-dependence at the molecular level.
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Transcription occurs in intermittent bursts that give rise to variable mRNA numbers in single cells.
“Transcription occurs in intermittent bursts35 that give rise to variable mRNA numbers in single cells.”
From Nonlinear control of transcription through enhancer–promoter interactions (2022) · cites this paper as [35]
Enhancer strength modulates the ability of the promoter to turn on.
“This further strengthens our interpretation that enhancer strength modulates the ability of the promoter to turn on, possibly by regulating chromatin state, transcription factor binding or RNA polymerase II dynamics at the promoter35,44 .”
From Nonlinear control of transcription through enhancer–promoter interactions (2022) · cites this paper as [35]
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- Authors
- Coulon, A., Chow, C. C., Singer, R. H., & Larson, D. R.
- Affiliations
- National Institutes of Health (US)
- Albert Einstein College of Medicine (US)
- Corresponding author
- Larson, Daniel R.
- Venue
- Nature Reviews Genetics
- Published
- 2013-07-09
- Volume
- 14
- Issue
- 8
- Pages
- 572-584
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- PMC
- PMC3807637
- OpenAlex
- W2066415979
- Cited by
- 309
- References
- 12
- Citations by year
- 2026: 8 · 2025: 23 · 2024: 15 · 2023: 15 · 2022: 14 · 2021: 23 · 2020: 22 · 2019: 29 · 2018: 27 · 2017: 31 · 2016: 31 · 2015: 40 · 2014: 22 · 2013: 9
- FWCI
- 3.20
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Genetics (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- U.S. Public Health Service (84364, 86217)
- National Institute of General Medical Sciences (R01GM057071, GM57071, R01GM084364, R01GM086217)
- National Institute of Diabetes and Digestive and Kidney Diseases (ZIADK075069)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Keywords
- transcriptional regulation, eukaryotic transcription, genome-wide transcription, gene expression regulation, RNA polymerase recruitment, nonequilibrium dynamics, cellular heterogeneity
- MeSH terms
- Gene Expression Regulation, Humans, DNA-Directed RNA Polymerases, Transcription Factors, Transcription, Genetic, Genome, Human
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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