Evidence map›Paper›PMID 39978338›Full record

ArticleMolecular cell2025

Identification of molecular determinants of gene-specific bursting patterns by high-throughput imaging screens.

Varun Sood, Ronald Holewinski, Thorkell Andresson, Daniel R Larson, Tom Misteli

Abstract read
In one paragraph

Article in Molecular cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. TAD boundaries and gene activity are uncoupled.bioRxiv : the preprint server for biology · 2026
    Article
  4. What makes genes burst.Trends in cell biology · 2026
    Review
  5. Review
  6. Review
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Varun SoodNational Cancer Institute, Bethesda, MD, USA.
Ronald HolewinskiProtein Characterization Laboratory, National Cancer Institute, Frederick, MD, USA.
Thorkell AndressonProtein Characterization Laboratory, National Cancer Institute, Frederick, MD, USA.
Daniel R LarsonNational Cancer Institute, Bethesda, MD, USA.
Tom MisteliNational Cancer Institute, Bethesda, MD, USA. Electronic address: mistelit@mail.nih.gov.

Funding

Nuclear Architecture and DiseaseZIABC010309 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MISTELI, THOMAS A · 2009 to 2025
$39.8M
Nuclear architecture and gene expression Z01BC010309 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MISTELI, THOMAS A · 1999 to 2008
$3.6M
Intramural NIH HHS Z01 BC010309Intramural NIH HHS ZIA BC010309
6 · The paper itself

Abstract

Stochastic transcriptional bursting is a universal property of active genes. While different genes exhibit distinct bursting patterns, the molecular mechanisms that govern gene-specific stochastic bursting are largely unknown. We have developed a high-throughput-imaging-based screening strategy to identify cellular factors that determine the bursting patterns of native genes in human cells. We identify protein acetylation as a prominent effector of burst frequency and burst size acting via decreasing off-times and gene-specific changes in the on-time. These effects are not correlated with promoter acetylation. Instead, we demonstrate acetylation of the Integrator complex as a key determinant of gene bursting that alters Integrator interactions with transcription elongation and RNA processing factors but without affecting pausing. Our results suggest a prominent role for non-histone acetylation of a transcription cofactors as a mechanism for modulation of bursting via a far-downstream checkpoint.

Indexed as

High-Throughput Screening AssaysTranscription, GeneticAcetylationHeLa CellsHumansPromoter Regions, Geneticacetylationhigh-throughput imaging screenIntegrator complexlive-cell imagingsingle-moleculestochastic gene burstingtranscription

Identifiers

PMID39978338
PMCPMC11890955

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Registered trials

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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.