Evidence map›Paper›PMID 25720775›Full record

ArticleGenome research2015

ChIP-exo signal associated with DNA-binding motifs provides insight into the genomic binding of the glucocorticoid receptor and cooperating transcription factors.

Stephan R Starick, Jonas Ibn-Salem, Marcel Jurk, Céline Hernandez, Michael I Love, Ho-Ryun Chung, Martin Vingron, Morgane Thomas-Chollier, Sebastiaan H Meijsing

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing 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

80 citing papers in PubMed, 125 citations in OpenAlex.

  1. Article
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  6. High-throughput screening of glucocorticoid-induced enhancer activity reveals mechanisms of stress-related psychiatric disorders.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Article
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  9. Machine learning reveals STAT motifs as predictors for GR-mediated gene repression.Computational and structural biotechnology journal · 2023
    Article
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  11. Article
  12. Review
  13. Nuclear Receptors in Ovarian Function.Advances in experimental medicine and biology · 2022
    Article
  14. Article
  15. Article
  16. Article
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  18. Article
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  20. Article

20 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 2 countries.

Stephan R StarickDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany;
Jonas Ibn-SalemDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany; Institut de Biologie de l'Ecole Normale Supérieure, Institut National de la Santé et de la Recherche Médicale, U1024, Centre National de la Recherche Scientifique, Unité Mixte de Recherche 8197, F-75005 Paris, France.
Marcel JurkDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany;
Céline HernandezInstitut de Biologie de l'Ecole Normale Supérieure, Institut National de la Santé et de la Recherche Médicale, U1024, Centre National de la Recherche Scientifique, Unité Mixte de Recherche 8197, F-75005 Paris, France.
Michael I LoveDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany;
Ho-Ryun ChungDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany;
Martin VingronDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany;
Morgane Thomas-ChollierInstitut de Biologie de l'Ecole Normale Supérieure, Institut National de la Santé et de la Recherche Médicale, U1024, Centre National de la Recherche Scientifique, Unité Mixte de Recherche 8197, F-75005 Paris, France.
Sebastiaan H MeijsingDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany;
Max Planck Society · DEInstitut de Biologie de l'École Normale Supérieure · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The classical DNA recognition sequence of the glucocorticoid receptor (GR) appears to be present at only a fraction of bound genomic regions. To identify sequences responsible for recruitment of this transcription factor (TF) to individual loci, we turned to the high-resolution ChIP-exo approach. We exploited this signal by determining footprint profiles of TF binding at single-base-pair resolution using ExoProfiler, a computational pipeline based on DNA binding motifs. When applied to our GR and the few available public ChIP-exo data sets, we find that ChIP-exo footprints are protein- and recognition sequence-specific signatures of genomic TF association. Furthermore, we show that ChIP-exo captures information about TFs other than the one directly targeted by the antibody in the ChIP procedure. Consequently, the shape of the ChIP-exo footprint can be used to discriminate between direct and indirect (tethering to other DNA-bound proteins) DNA association of GR. Together, our findings indicate that the absence of classical recognition sequences can be explained by direct GR binding to a broader spectrum of sequences than previously known, either as a homodimer or as a heterodimer binding together with a member of the ETS or TEAD families of TFs, or alternatively by indirect recruitment via FOX or STAT proteins. ChIP-exo footprints also bring structural insights and locate DNA:protein cross-link points that are compatible with crystal structures of the studied TFs. Overall, our generically applicable footprint-based approach uncovers new structural and functional insights into the diverse ways of genomic cooperation and association of TFs.

Indexed as

GenomicsCCCTC-Binding FactorCell Line, TumorChromatin ImmunoprecipitationComputational BiologyEstrogen Receptor alphaGene Expression ProfilingGenetic LociHeLa CellsHepatocyte Nuclear Factor 3-alphaHumansK562 CellsMCF-7 CellsProtein BindingProtein ConformationReceptors, GlucocorticoidCCCTC-Binding FactorCTCF protein, humanESR1 protein, humanEstrogen Receptor alphaFOXA1 protein, humanHepatocyte Nuclear Factor 3-alphaReceptors, GlucocorticoidRepressor Proteins

Identifiers

PMID25720775
PMCPMC4448679
OpenAlexW2123436615

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.