Evidence map›Paper›PMID 39542693›Full record

ArticleLife science alliance2025

Transcriptional regulators ensuring specific gene expression and decision-making at high TGFβ doses.

Laura Hartmann, Panajot Kristofori, Congxin Li, Kolja Becker, Lorenz Hexemer, Stefan Bohn, Sonja Lenhardt, Sylvia Weiss, Björn Voss, Alexander Loewer and 1 more

Abstract read
In one paragraph

Article in Life science alliance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. NADBiochemistry and biophysics reports · 2026
    Article
  2. Review
  3. JunB-HBZ nuclear translocation by TGF-β is a key driver in HTLV-1-mediated leukemogenesis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
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.

Laura HartmannDepartment of Systems Biology, Institute for Biomedical Genetics (IBMG), University of Stuttgart, Stuttgart, Germany.ORCID 0000-0003-3928-6619
Panajot KristoforiDepartment of Systems Biology, Institute for Biomedical Genetics (IBMG), University of Stuttgart, Stuttgart, Germany.ORCID 0000-0001-7284-899X
Congxin LiDepartment of Systems Biology, Institute for Biomedical Genetics (IBMG), University of Stuttgart, Stuttgart, Germany.ORCID 0000-0002-8368-0675
Kolja BeckerDepartment of Systems Biology, Institute for Biomedical Genetics (IBMG), University of Stuttgart, Stuttgart, Germany.
Lorenz HexemerDepartment of Systems Biology, Institute for Biomedical Genetics (IBMG), University of Stuttgart, Stuttgart, Germany.
Stefan BohnDepartment of Biology, Technische Universität Darmstadt, Darmstadt, Germany.
Sonja LenhardtDepartment of Biology, Technische Universität Darmstadt, Darmstadt, Germany.
Sylvia WeissDepartment of Systems Biology, Institute for Biomedical Genetics (IBMG), University of Stuttgart, Stuttgart, Germany.
Björn VossDepartment of RNA-Biology & Bioinformatics, Institute for Biomedical Genetics (IBMG), University of Stuttgart, Stuttgart, Germany.
Alexander LoewerDepartment of Biology, Technische Universität Darmstadt, Darmstadt, Germany loewer@bio.tu-darmstadt.de legewie@ibmg.uni-stuttgart.de.ORCID 0000-0002-8819-3040
Stefan LegewieDepartment of Systems Biology, Institute for Biomedical Genetics (IBMG), University of Stuttgart, Stuttgart, Germany loewer@bio.tu-darmstadt.de legewie@ibmg.uni-stuttgart.de.ORCID 0000-0003-4111-0567

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

TGFβ-signaling regulates cancer progression by controlling cell division, migration, and death. These outcomes are mediated by gene expression changes, but the mechanisms of decision-making toward specific fates remain unclear. Here, we combine SMAD transcription factor imaging, genome-wide RNA sequencing, and morphological assays to quantitatively link signaling, gene expression, and fate decisions in mammary epithelial cells. Fitting genome-wide kinetic models to our time-resolved data, we find that most of the TGFβ target genes can be explained as direct targets of SMAD transcription factors, whereas the remainder show signs of complex regulation, involving delayed regulation and strong amplification at high TGFβ doses. Knockdown experiments followed by global RNA sequencing revealed transcription factors interacting with SMADs in feedforward loops to control delayed and dose-discriminating target genes, thereby reinforcing the specific epithelial-to-mesenchymal transition at high TGFβ doses. We identified early repressors, preventing premature activation, and a late activator, boosting gene expression responses for a sufficiently strong TGFβ stimulus. Taken together, we present a global view of TGFβ-dependent gene regulation and describe specificity mechanisms reinforcing cellular decision-making.

Indexed as

Epithelial-Mesenchymal TransitionGene Expression RegulationSignal TransductionTransforming Growth Factor betaAnimalsEpithelial CellsFemaleHumansSmad ProteinsTranscription FactorsSmad ProteinsTranscription FactorsTransforming Growth Factor beta

Identifiers

PMID39542693
PMCPMC11565188

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.