Evidence map›Paper›PMID 33751115›Full record

ArticleNucleic acids research2021

Androgen and glucocorticoid receptor direct distinct transcriptional programs by receptor-specific and shared DNA binding sites.

Marina Kulik, Melissa Bothe, Gözde Kibar, Alisa Fuchs, Stefanie Schöne, Stefan Prekovic, Isabel Mayayo-Peralta, Ho-Ryun Chung, Wilbert Zwart, Christine Helsen and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.1field-weighted citation impact, top 3% of its field
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

17 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. In vitro models of the male reproductive system: applications for developmental and reproductive toxicology.Toxicological sciences : an official journal of the Society of Toxicology · 2025
    Review
  5. Article
  6. Review
  7. Article
  8. Androgen Signaling in Prostate Cancer: When a Friend Turns Foe.Endocrine, metabolic & immune disorders drug targets · 2025
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
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

12 authors at 4 institutions in 3 countries.

Marina KulikMax Planck Institute for Molecular Genetics, Ihnestraße 63-73, 14195 Berlin, Germany.
Melissa BotheMax Planck Institute for Molecular Genetics, Ihnestraße 63-73, 14195 Berlin, Germany.
Gözde KibarMax Planck Institute for Molecular Genetics, Ihnestraße 63-73, 14195 Berlin, Germany.
Alisa FuchsMax Planck Institute for Molecular Genetics, Ihnestraße 63-73, 14195 Berlin, Germany.
Stefanie SchöneMax Planck Institute for Molecular Genetics, Ihnestraße 63-73, 14195 Berlin, Germany.
Stefan PrekovicDivision of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Isabel Mayayo-PeraltaDivision of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Ho-Ryun ChungMax Planck Institute for Molecular Genetics, Ihnestraße 63-73, 14195 Berlin, Germany.
Wilbert ZwartDivision of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Christine HelsenMolecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
Frank ClaessensMolecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
Sebastiaan H MeijsingMax Planck Institute for Molecular Genetics, Ihnestraße 63-73, 14195 Berlin, Germany.
Max Planck Institute for Molecular Genetics · DEThe Netherlands Cancer Institute · NLKU Leuven · BEPhilipps University of Marburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The glucocorticoid (GR) and androgen (AR) receptors execute unique functions in vivo, yet have nearly identical DNA binding specificities. To identify mechanisms that facilitate functional diversification among these transcription factor paralogs, we studied them in an equivalent cellular context. Analysis of chromatin and sequence suggest that divergent binding, and corresponding gene regulation, are driven by different abilities of AR and GR to interact with relatively inaccessible chromatin. Divergent genomic binding patterns can also be the result of subtle differences in DNA binding preference between AR and GR. Furthermore, the sequence composition of large regions (>10 kb) surrounding selectively occupied binding sites differs significantly, indicating a role for the sequence environment in guiding AR and GR to distinct binding sites. The comparison of binding sites that are shared shows that the specificity paradox can also be resolved by differences in the events that occur downstream of receptor binding. Specifically, shared binding sites display receptor-specific enhancer activity, cofactor recruitment and changes in histone modifications. Genomic deletion of shared binding sites demonstrates their contribution to directing receptor-specific gene regulation. Together, these data suggest that differences in genomic occupancy as well as divergence in the events that occur downstream of receptor binding direct functional diversification among transcription factor paralogs.

Indexed as

Binding SitesCell Line, TumorChromatinDNAGene Expression RegulationHumansProtein BindingReceptors, AndrogenReceptors, GlucocorticoidTranscription FactorsAR protein, humanChromatinDNANR3C1 protein, humanReceptors, AndrogenReceptors, GlucocorticoidTranscription Factors

Identifiers

PMID33751115
PMCPMC8053126
OpenAlexW3136011479

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.