Evidence map›Paper›PMID 40770575›Full record

ArticleNature genetics2025

Comprehensive transcription factor perturbations recapitulate fibroblast transcriptional states.

Kaden M Southard, Rico C Ardy, Anran Tang, Deirdre D O'Sullivan, Eli Metzner, Karthik Guruvayurappan, Thomas M Norman

Abstract read
PubMed Publisher
In one paragraph

Article in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Neurodevelopmental Disorder with Dystonia and Chorea Linked to De Novo Variants in the Splicing Regulator SRRM4.Movement disorders : official journal of the Movement Disorder Society · 2026
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  12. PARP1 Suppression Drives ROS Resistance in Aneuploid Cancer Cells.bioRxiv : the preprint server for biology · 2026
    Article
  13. Article
  14. Fibroblast heterogeneity in 2025.Nature reviews. Rheumatology · 2026
    Article
  15. Large-scale discovery of neural enhancers for cis-regulation therapies.bioRxiv : the preprint server for biology · 2025
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Kaden M Southard *Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0002-5017-0687
Rico C Ardy *Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0003-4975-2177
Anran TangComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0009-0001-5962-178X
Deirdre D O'SullivanComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Eli MetznerComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0002-8957-9068
Karthik GuruvayurappanComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0003-3791-8387
Thomas M NormanComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA. normantm@mskcc.org.ORCID http://orcid.org/0000-0002-3755-4379

Funding

Predictive engineering of cellular transcriptional stateDP2GM140925 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI NORMAN, THOMAS MAXWELL · 2020 to 2020
$2.7M
Damon Runyon Cancer Research Foundation (Cancer Research Fund of the Damon Runyon-Walter Winchell Foundation) AWD-GC-259296Damon Runyon Cancer Research Foundation (Cancer Research Fund of the Damon Runyon-Walter Winchell Foundation) DRG-2462-22NIGMS NIH HHS DP2 GM140925U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) HG012103U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) GM132083U.S. Department of Health & Human Services | NIH | NIH Office of the Director (OD) GM140925
6 · The paper itself

Abstract

Cell atlas projects have revealed that common cell types often comprise distinct, recurrent transcriptional states, but the function and regulation of these states remain poorly understood. Here, we show that systematic activation of transcription factors can recreate such states in vitro, providing tractable models for mechanistic and functional studies. Using a scalable CRISPR activation (CRISPRa) Perturb-seq platform, we activated 1,836 transcription factors in two cell types. CRISPRa induced gene expression within physiological ranges, with chromatin features predicting responsiveness. Comparisons with atlas datasets showed that transcription factor perturbations recapitulated key fibroblast states and identified their regulators, including KLF2 and KLF4 for a universal state present in many tissues, and PLAGL1 for a disease-associated inflammatory state. Inducing the universal state suppressed the inflammatory state, suggesting therapeutic potential. These findings position CRISPRa as a nuanced tool for perturbing differentiated cells and establish a general strategy for studying clinically relevant transcriptional states ex vivo.

Indexed as

FibroblastsTranscription FactorsTranscription, GeneticAnimalsCell DifferentiationChromatinCRISPR-Cas SystemsGene Expression RegulationHumansKruppel-Like Factor 4Kruppel-Like Transcription FactorsMiceChromatinKLF4 protein, humanKlf4 protein, mouseKruppel-Like Factor 4Kruppel-Like Transcription FactorsTranscription Factors

Identifiers

What OpenQuestion holds

Textmetadata
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.