Evidence map›Paper›PMID 42436193›Full record

ArticleNature communications2026

Single cell multiomics unravel the transcription networks controlling the different EMT tumor states.

Andrea Pérez-González, Gabriel Windels, Kevin Bévant, Justine Lengrand, Sophie Lemaire, Virginie Moers, Samuel Scozzaro, Ulysse Debroux, Christine Dubois, Sebastiaan Vanuytven and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Andrea Pérez-González *Université libre de Buxelles (ULB), Laboratory of Stem Cells and Cancer, 808 route de Lennik, Brussels, 1070, Belgium.
Gabriel Windels *Université libre de Buxelles (ULB), Laboratory of Stem Cells and Cancer, 808 route de Lennik, Brussels, 1070, Belgium.ORCID http://orcid.org/0009-0003-2813-7594
Kevin BévantUniversité libre de Buxelles (ULB), Laboratory of Stem Cells and Cancer, 808 route de Lennik, Brussels, 1070, Belgium.
Justine LengrandUniversité libre de Buxelles (ULB), Laboratory of Stem Cells and Cancer, 808 route de Lennik, Brussels, 1070, Belgium.
Sophie LemaireUniversité libre de Buxelles (ULB), Laboratory of Stem Cells and Cancer, 808 route de Lennik, Brussels, 1070, Belgium.
Virginie MoersUniversité libre de Buxelles (ULB), Laboratory of Stem Cells and Cancer, 808 route de Lennik, Brussels, 1070, Belgium.
Samuel ScozzaroUniversité libre de Buxelles (ULB), Laboratory of Stem Cells and Cancer, 808 route de Lennik, Brussels, 1070, Belgium.
Ulysse DebrouxUniversité libre de Buxelles (ULB), Laboratory of Stem Cells and Cancer, 808 route de Lennik, Brussels, 1070, Belgium.
Christine DuboisUniversité libre de Buxelles (ULB), Laboratory of Stem Cells and Cancer, 808 route de Lennik, Brussels, 1070, Belgium.
Sebastiaan VanuytvenUniversité libre de Buxelles (ULB), Laboratory of Stem Cells and Cancer, 808 route de Lennik, Brussels, 1070, Belgium.ORCID http://orcid.org/0000-0001-6723-0132
Cédric BlanpainUniversité libre de Buxelles (ULB), Laboratory of Stem Cells and Cancer, 808 route de Lennik, Brussels, 1070, Belgium. Cedric.Blanpain@ulb.be.ORCID http://orcid.org/0000-0002-4028-4322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial-to-mesenchymal transition (EMT) is a dynamic process during which cells lose their epithelial characteristics and acquire mesenchymal traits. In cancer, EMT is closely associated with tumor initiation, progression, invasion, metastasis, and therapy resistance. Rather than being a binary state switch, EMT encompasses a spectrum of tumor states with distinct functional properties. However, the transcription factors (TFs) that govern transitions between these EMT states remain poorly defined. Here, using multi-omic approaches combining single-cell RNA-seq and single-cell ATAC-seq, we delineate the transcriptomic and chromatin landscapes of distinct EMT states in a mouse model of skin squamous cell carcinoma (SCC). Through CRISPR/Cas9-mediated loss-of-function studies coupled with in vitro and in vivo functional assays, we identify TFs regulating specific EMT states. Klf5 and Pitx1 control the early stages of EMT and are essential for metastasis formation. In contrast, Nfatc1 and Creb3l1 act at later stages of EMT. Similar EMT states and regulatory patterns are found in mouse pancreatic adenocarcinoma and human cancers. Altogether, our study defines the transcriptional and chromatin landscape controlling EMT progression in mouse skin SCC, identifies EMT state-specific TFs and highlights their essential roles in regulating metastasis.

Indexed as

Epithelial-Mesenchymal TransitionGene Regulatory NetworksSingle-Cell AnalysisSkin NeoplasmsAnimalsCarcinoma, Squamous CellCell Line, TumorChromatinCutaneous Squamous Cell CarcinomaGene Expression Regulation, NeoplasticHumansMiceMultiomicsPancreatic NeoplasmsSingle-Cell Gene Expression AnalysisTranscription FactorsChromatinTranscription Factors

Identifiers

PMID42436193
PMCPMC13482804

What OpenQuestion holds

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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.