Evidence map›Paper›PMID 26896676›Full record

ArticleeLife2016

A continuum model of transcriptional bursting.

Adam M Corrigan, Edward Tunnacliffe, Danielle Cannon, Jonathan R Chubb

Open access · goldAbstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
11.7field-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

87 citing papers in PubMed, 191 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Regulation of Transcriptional Bursting and Spatial Patterning in EarlybioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Article
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  8. Article
  9. Article
  10. Review
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  12. Article
  13. Review
  14. How do stochastic processes and genetic threshold effects explain incomplete penetrance and inform causal disease mechanisms?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  15. Article
  16. Review
  17. Review
  18. Single Cell Transcriptome Analysis During Development in Dictyostelium.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  19. Article
  20. Article

27 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 1 institution in 1 country.

Adam M CorriganDivision of Cell and Developmental Biology, University College London, London, United Kingdom.
Edward TunnacliffeDivision of Cell and Developmental Biology, University College London, London, United Kingdom.
Danielle CannonDivision of Cell and Developmental Biology, University College London, London, United Kingdom.
Jonathan R ChubbDivision of Cell and Developmental Biology, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-6898-9765
MRC Laboratory for Molecular Cell Biology · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Transcription occurs in stochastic bursts. Early models based upon RNA hybridisation studies suggest bursting dynamics arise from alternating inactive and permissive states. Here we investigate bursting mechanism in live cells by quantitative imaging of actin gene transcription, combined with molecular genetics, stochastic simulation and probabilistic modelling. In contrast to early models, our data indicate a continuum of transcriptional states, with a slowly fluctuating initiation rate converting the gene between different levels of activity, interspersed with extended periods of inactivity. We place an upper limit of 40 s on the lifetime of fluctuations in elongation rate, with initiation rate variations persisting an order of magnitude longer. TATA mutations reduce the accessibility of high activity states, leaving the lifetime of on- and off-states unchanged. A continuum or spectrum of gene states potentially enables a wide dynamic range for cell responses to stimuli.

Indexed as

Gene Expression ProfilingTranscription, GeneticActinsDictyosteliumModels, StatisticalOptical ImagingActinschromosomescomputational biologycomputational modellingdictyosteliumgeneslive cell imagingsingle cell gene expressionstochastic gene expressionsystems biologytranscriptiontranscriptional bursting

Identifiers

PMID26896676
PMCPMC4850746
OpenAlexW2300489152

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.