Evidence map›Paper›PMID 33242838›Full record

ReviewCurrent opinion in cell biology2020

A matter of time: Using dynamics and theory to uncover mechanisms of transcriptional bursting.

Nicholas C Lammers, Yang Joon Kim, Jiaxi Zhao, Hernan G Garcia

Abstract readReview
In one paragraph

Review in Current opinion in cell biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
–field-weighted citation impact
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

68 citing papers in PubMed.

  1. Exchange dynamics and kinetic control of gene regulation complexes.Nature reviews. Molecular cell biology · 2026
    Review
  2. Article
  3. Article
  4. Conductive Hydrogels for Exogenous Sensing and Cell Fate Control.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. What makes genes burst.Trends in cell biology · 2026
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Spatial microenvironments tune immune response dynamics in thebioRxiv : the preprint server for biology · 2025
    Article

8 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.

Nicholas C LammersBiophysics Graduate Group, University of California at Berkeley, Berkeley, CA, USA.
Yang Joon KimBiophysics Graduate Group, University of California at Berkeley, Berkeley, CA, USA.
Jiaxi ZhaoDepartment of Physics, University of California at Berkeley, Berkeley, CA, USA.
Hernan G GarciaBiophysics Graduate Group, University of California at Berkeley, Berkeley, CA, USA; Department of Physics, University of California at Berkeley, Berkeley, CA, USA; Department of Molecular and Cell Biology, University of California at Berkeley, Berkeley, CA, USA; Institute for Quantitative Biosciences-QB3, University of California at Berkeley, Berkeley, CA, USA. Electronic address: hggarcia@berkeley.edu.

Funding

Lighting Up the Central Dogma in Embryonic DevelopmentDP2HD094655 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI GARCIA, HERNAN GUSTAVO · 2017 to 2017
$2.4M
NICHD NIH HHS DP2 HD094655
6 · The paper itself

Abstract

Eukaryotic transcription generally occurs in bursts of activity lasting minutes to hours; however, state-of-the-art measurements have revealed that many of the molecular processes that underlie bursting, such as transcription factor binding to DNA, unfold on timescales of seconds. This temporal disconnect lies at the heart of a broader challenge in physical biology of predicting transcriptional outcomes and cellular decision-making from the dynamics of underlying molecular processes. Here, we review how new dynamical information about the processes underlying transcriptional control can be combined with theoretical models that predict not only averaged transcriptional dynamics, but also their variability, to formulate testable hypotheses about the molecular mechanisms underlying transcriptional bursting and control.

Indexed as

Models, GeneticTranscription, GeneticAnimalsHumansKineticsTime FactorsGene regulationLive imagingNonequilibrium models of transcriptionTheoretical models of transcriptionTranscriptional burstingTranscriptional dynamicsWaiting time distributions

Identifiers

PMID33242838
PMCPMC8498946

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.