Evidence map›Paper›PMID 39789221›Full record

ReviewNature cell biology2025

Transcription factor networks in cellular quiescence.

Mithun Mitra, Sandra L Batista, Hilary A Coller

Abstract readReview
In one paragraph

Review in Nature cell biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. The dynamics of centromere assembly and disassembly during quiescence.bioRxiv : the preprint server for biology · 2025
    Article
  11. Quiescence Multiverse.Biomolecules · 2025
    Review
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

3 authors.

Mithun MitraDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, Los Angeles, CA, USA. mmitra@ucla.edu.ORCID http://orcid.org/0000-0001-8056-8963
Sandra L BatistaDepartment of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-4605-9836
Hilary A CollerDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, Los Angeles, CA, USA. hcoller@ucla.edu.ORCID http://orcid.org/0000-0003-0992-6494

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
UCLA SPORE IN PROSTATE CANCERP50CA092131 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REITER, ROBERT E · 2002 to 2023
$42.6M
Metabolic Control of Hair Follicle Stem Cell Homeostasis and TumorigenesisR01AR070245 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHRISTOFK, HEATHER, LOWRY, WILLIAM E · 2018 to 2022
$2.1M
The Role of Stromal Autophagy in Cutaneous MelanomaR01CA221296 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI COLLER, HILARY A · 2018 to 2022
$1.8M
The Role of MicroRNAs in Cellular QuiescenceR01GM081686 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI COLLER, HILARY A · 2008 to 2012
$1.4M
Metabolic Control of Hair Follicle Stem Cell Homeostasis and TumorigenesisR01AR084245 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Heather Christofk, William E Lowry · 2024 to 2026
$1.4M
A Combined Computational and Experimental Approach to Defining Mechanisms of micrR01GM086465 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI COLLER, HILARY A · 2009 to 2012
$1.1M
Role of Tumor and Stromal Cell Metabolism in Stress Adaptation and ProgressionRC1CA147961 · NCI · RUTGERS, THE STATE UNIV OF N.J. · PI COLLER, HILARY A, RABINOWITZ, JOSHUA D · 2009 to 2010
$1.0M
Cancer Research Institute (CRI) CLIP grantMelanoma Research Alliance (MRA) Team Science AwardNCATS NIH HHS UL1 TR000124NCI NIH HHS P50 CA092131NCI NIH HHS R01 CA221296NCI NIH HHS RC1 CA147961NIAMS NIH HHS R01 AR070245NIAMS NIH HHS R01 AR084245NIGMS NIH HHS R01 GM081686NIGMS NIH HHS R01 GM086465U.S. Department of Defense (United States Department of Defense) W81XWH-22-1-0920U.S. Department of Health & Human Services | National Institutes of Health (NIH) UL1TR000124U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) CA092131U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) CA147961-02U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) CA221296-01A1U.S. Department of Health & Human Services | NIH | National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) AR070245U.S. Department of Health & Human Services | NIH | National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) AR084245-01U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) GM081686U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) GM0866465
6 · The paper itself

Abstract

Many of the cells in mammalian tissues are in a reversible quiescent state; they are not dividing, but retain the ability to proliferate in response to extracellular signals. Quiescence relies on the activities of transcription factors (TFs) that orchestrate the repression of genes that promote proliferation and establish a quiescence-specific gene expression program. Here we discuss how the coordinated activities of TFs in different quiescent stem cells and differentiated cells maintain reversible cell cycle arrest and establish cell-protective signalling pathways. We further cover the emerging mechanisms governing the dysregulation of quiescence TF networks with age. We explore how recent developments in single-cell technologies have enhanced our understanding of quiescence heterogeneity and gene regulatory networks. We further discuss how TFs and their activities are themselves regulated at the RNA, protein and chromatin levels. Finally, we summarize the challenges associated with defining TF networks in quiescent cells.

Indexed as

Cell ProliferationGene Regulatory NetworksStem CellsTranscription FactorsAnimalsCell CycleCell Cycle CheckpointsCell DifferentiationGene Expression RegulationHumansSignal TransductionTranscription Factors

Identifiers

PMID39789221
PMCPMC12510137

What OpenQuestion holds

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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.