Evidence map›Paper›PMID 37486787›Full record

ArticleNucleic acids research2023

Identification of mammalian transcription factors that bind to inaccessible chromatin.

Romana T Pop, Alessandra Pisante, Dorka Nagy, Patrick C N Martin, Liudmila A Mikheeva, Ateequllah Hayat, Gabriella Ficz, Nicolae Radu Zabet

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Epigenomic insights into common human disease pathology.Cellular and molecular life sciences : CMLS · 2024
    Review
  7. Article
  8. Article
  9. 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

8 authors at 3 institutions in 2 countries.

Romana T PopSchool of Life Sciences, University of Essex, Colchester CO4 3SQ, UK.
Alessandra PisanteSchool of Life Sciences, University of Essex, Colchester CO4 3SQ, UK.
Dorka NagySchool of Life Sciences, University of Essex, Colchester CO4 3SQ, UK.
Patrick C N MartinSchool of Life Sciences, University of Essex, Colchester CO4 3SQ, UK.
Liudmila A MikheevaSchool of Life Sciences, University of Essex, Colchester CO4 3SQ, UK.
Ateequllah HayatInstitute of Medical and Biomedical Education, St George's, University of London, Cranmer Terrace, Tooting SW17 0RE, London.
Gabriella FiczCentre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK.
Nicolae Radu ZabetSchool of Life Sciences, University of Essex, Colchester CO4 3SQ, UK.ORCID 0000-0001-9964-6271
University of Essex · GBQueen Mary University of London · GBSt George's, University of London · GB

Funding

Cancer Research UK C50210/A27068Wellcome TrustWellcome Trust 202012/Z/16/Z
6 · The paper itself

Abstract

Transcription factors (TFs) are proteins that affect gene expression by binding to regulatory regions of DNA in a sequence specific manner. The binding of TFs to DNA is controlled by many factors, including the DNA sequence, concentration of TF, chromatin accessibility and co-factors. Here, we systematically investigated the binding mechanism of hundreds of TFs by analysing ChIP-seq data with our explainable statistical model, ChIPanalyser. This tool uses as inputs the DNA sequence binding motif; the capacity to distinguish between strong and weak binding sites; the concentration of TF; and chromatin accessibility. We found that approximately one third of TFs are predicted to bind the genome in a DNA accessibility independent fashion, which includes TFs that can open the chromatin, their co-factors and TFs with similar motifs. Our model predicted this to be the case when the TF binds to its strongest binding regions in the genome, and only a small number of TFs have the capacity to bind dense chromatin at their weakest binding regions, such as CTCF, USF2 and CEBPB. Our study demonstrated that the binding of hundreds of human and mouse TFs is predicted by ChIPanalyser with high accuracy and showed that many TFs can bind dense chromatin.

Indexed as

ChromatinTranscription FactorsAnimalsBinding SitesChromosomesDNAHumansMammalsMiceProtein BindingChromatinDNATranscription Factors

Identifiers

PMID37486787
PMCPMC10484684
OpenAlexW4385197384

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.