Evidence map›Paper›PMID 23835438›Full record

ReviewNature reviews. Genetics2013

Eukaryotic transcriptional dynamics: from single molecules to cell populations.

Antoine Coulon, Carson C Chow, Robert H Singer, Daniel R Larson

Abstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 177 papers.

0numbers the graph read from it
0cells of the map it votes in
177citing papers in PubMed
15.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

177 citing papers in PubMed, 323 citations in OpenAlex.

  1. Exchange dynamics and kinetic control of gene regulation complexes.Nature reviews. Molecular cell biology · 2026
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  18. Flexibility and sensitivity in gene regulation out of equilibrium.Proceedings of the National Academy of Sciences of the United States of America · 2024
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117 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Antoine CoulonLaboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA.
Carson C Chow
Robert H Singer
Daniel R Larson
National Institutes of Health · USCenter for Cancer Research · USHoward Hughes Medical Institute · US

Funding

Transcription Dynamics in Single CellsZIABC011383 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LARSON, DANIEL · 2011 to 2025
$23.8M
RNA TRANSPORT AND LOCALIZATION IN YEAST IN SITUR01GM057071 · NIGMS · YESHIVA UNIVERSITY · PI SINGER, ROBERT H · 1998 to 2019
$5.7M
Modeling gene transcriptionZIADK075069 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI CHOW, CARSON · 2012 to 2025
$2.9M
LIGHT-ACTIVATED GENE EXPRESSION IN SINGLE CELLS WITHIN TISSUER01GM086217 · NIGMS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SINGER, ROBERT H · 2008 to 2011
$2.9M
Mechanism of Actin mRNA LocalizationR01GM084364 · NIGMS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SINGER, ROBERT H · 2008 to 2012
$1.9M
Gene Expression Profiling and RNA visualization with Single-Molecule FISHZIABC011409 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LARSON, DANIEL · 2011 to 2013
$1.2M
Intramural NIH HHS ZIA DK075069NIGMS NIH HHS GM57071NIGMS NIH HHS R01 GM057071NIGMS NIH HHS R01 GM084364NIGMS NIH HHS R01 GM086217PHS HHS 84364PHS HHS 86217
6 · The paper itself

Abstract

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.

Indexed as

Gene Expression RegulationGenome, HumanTranscription, GeneticDNA-Directed RNA PolymerasesHumansTranscription FactorsDNA-Directed RNA PolymerasesTranscription Factors

Identifiers

PMID23835438
PMCPMC3807637
OpenAlexW2066415979

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.