Evidence map›Paper›PMID 31913281›Full record

ArticleNature communications2020

Mechanistic insights into transcription factor cooperativity and its impact on protein-phenotype interactions.

Ignacio L Ibarra, Nele M Hollmann, Bernd Klaus, Sandra Augsten, Britta Velten, Janosch Hennig, Judith B Zaugg

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

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  8. Quantification and potential functional relevance of binding cooperativity of adjacent transcription factors on DNA.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

7 authors.

Ignacio L IbarraStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Nele M HollmannStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Bernd KlausGenome Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0003-1169-1225
Sandra AugstenStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Britta VeltenGenome Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-8397-3515
Janosch HennigStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-5214-7002
Judith B ZauggStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany. judith.zaugg@embl.de.ORCID http://orcid.org/0000-0001-8324-4040

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent high-throughput transcription factor (TF) binding assays revealed that TF cooperativity is a widespread phenomenon. However, a global mechanistic and functional understanding of TF cooperativity is still lacking. To address this, here we introduce a statistical learning framework that provides structural insight into TF cooperativity and its functional consequences based on next generation sequencing data. We identify DNA shape as driver for cooperativity, with a particularly strong effect for Forkhead-Ets pairs. Follow-up experiments reveal a local shape preference at the Ets-DNA-Forkhead interface and decreased cooperativity upon loss of the interaction. Additionally, we discover many functional associations for cooperatively bound TFs. Examination of the link between FOXO1:ETV6 and lymphomas reveals that their joint expression levels improve patient clinical outcome stratification. Altogether, our results demonstrate that inter-family cooperative TF binding is driven by position-specific DNA readout mechanisms, which provides an additional regulatory layer for downstream biological functions.

Indexed as

Biophysical PhenomenaDNAGene Expression RegulationHumansKineticsModels, GeneticPhenotypeProtein BindingTranscription FactorsDNATranscription Factors

Identifiers

PMID31913281
PMCPMC6949242

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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.