Evidence map›Paper›PMID 33278344›Full record

ArticleCell systems2020

Conserved Epigenetic Regulatory Logic Infers Genes Governing Cell Identity.

Woo Jun Shim, Enakshi Sinniah, Jun Xu, Burcu Vitrinel, Michael Alexanian, Gaia Andreoletti, Sophie Shen, Yuliangzi Sun, Brad Balderson, Carles Boix and 11 more

Open access · bronzeAbstract read
In one paragraph

Article in Cell systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

26 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Computational modelling of cell identity.The Biochemical journal · 2026
    Review
  3. The changing landscape of gene expression analysis.Briefings in bioinformatics · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. TRIAGE: an R package for regulatory gene analysis.Briefings in bioinformatics · 2025
    Article
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  11. Article
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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

21 authors at 9 institutions in 3 countries.

Woo Jun ShimSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.
Enakshi SinniahInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
Jun XuInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
Burcu VitrinelCenter for Developmental Genetics, Department of Biology, New York University, New York, NY, USA.
Michael AlexanianGladstone Institute of Cardiovascular Disease, San Francisco, CA, USA.
Gaia AndreolettiInstitute for Computational Health Sciences, University of California, San Francisco, CA 94158, USA.
Sophie ShenInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
Yuliangzi SunInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
Brad BaldersonSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.
Carles BoixBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Guangdun PengCAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, University of Chinese Academy of Sciences and Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China; State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China.
Naihe JingCAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, University of Chinese Academy of Sciences and Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China; State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China.
Yuliang WangPaul G. Allen School of Computer Science and Engineering and Institute for Stem Cell & Regenerative Medicine, University of Washington, Seattle, WA, USA.
Manolis KellisBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Patrick P L TamThe University of Sydney, Children's Medical Research Institute, and School of Medical Sciences, Faculty of Medicine and Health, Westmead, NSW 2145, Australia.
Aaron SmithInstitute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia; Translational Research Institute, Woolloongabba, Brisbane, Australia.
Michael PiperSchool of Biomedical Sciences, The University of Queensland, Brisbane, Australia; Queensland Brain Institute, The University of Queensland, Brisbane, Australia.
Lionel ChristiaenCenter for Developmental Genetics, Department of Biology, New York University, New York, NY, USA.
Quan NguyenInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
Mikael BodénSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia. Electronic address: m.boden@uq.edu.au.
Nathan J PalpantInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Australia. Electronic address: n.palpant@uq.edu.au.
The University of Queensland · AUBroad Institute · USChinese Academy of Sciences · CNNew York University · USGladstone Institutes · USThe University of Sydney · AUTranslational Research Institute · AUUniversity of California, San Francisco · USUniversity of Washington · US

Funding

Regulation of muscle fate specification and cell migration in cardiogenic lineageR01HL108643 · NHLBI · NEW YORK UNIVERSITY · PI MOGILNER, ALEXANDER · 2011 to 2023
$5.4M
Graduate Training in Computational and Systems BiologyT32GM087237 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BURGE, CHRISTOPHER B · 2009 to 2023
$4.6M
NHLBI NIH HHS R01 HL108643NIGMS NIH HHS T32 GM087237
6 · The paper itself

Abstract

Determining genes that orchestrate cell differentiation in development and disease remains a fundamental goal of cell biology. This study establishes a genome-wide metric based on the gene-repressive trimethylation of histone H3 at lysine 27 (H3K27me3) across hundreds of diverse cell types to identify genetic regulators of cell differentiation. We introduce a computational method, TRIAGE, which uses discordance between gene-repressive tendency and expression to identify genetic drivers of cell identity. We apply TRIAGE to millions of genome-wide single-cell transcriptomes, diverse omics platforms, and eukaryotic cells and tissue types. Using a wide range of data, we validate the performance of TRIAGE in identifying cell-type-specific regulatory factors across diverse species including human, mouse, boar, bird, fish, and tunicate. Using CRISPR gene editing, we use TRIAGE to experimentally validate RNF220 as a regulator of Ciona cardiopharyngeal development and SIX3 as required for differentiation of endoderm in human pluripotent stem cells. A record of this paper's transparent peer review process is included in the Supplemental Information.

Indexed as

Cell DifferentiationEpigenomicsHumanscell differentiationcomputational methodepigeneticEpiMapH3K27me3pluripotent stem cellpredictionssingle cell RNA-seqTRIAGE

Identifiers

PMID33278344
PMCPMC7781436
OpenAlexW3110611551

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.