Evidence map›Paper›PMID 39868536›Full record

ArticleNucleic acids research2025

Genomic clustering tendency of transcription factors reflects phase-separated transcriptional condensates at super-enhancers.

Shengyuan Wang, Zhenjia Wang, Chongzhi Zang

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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

3 authors.

Shengyuan WangDepartment of Genome Sciences, University of Virginia, PO Box 800717, Charlottesville, VA 22908, USA.ORCID 0009-0008-5680-4557
Zhenjia WangDepartment of Genome Sciences, University of Virginia, PO Box 800717, Charlottesville, VA 22908, USA.ORCID 0000-0001-5576-0689
Chongzhi ZangDepartment of Genome Sciences, University of Virginia, PO Box 800717, Charlottesville, VA 22908, USA.ORCID 0000-0003-4812-3627

Funding

Integrative computational models for functional epigenomics and transcriptional regulationR35GM133712 · NIGMS · UNIVERSITY OF VIRGINIA · PI Chongzhi Zang · 2019 to 2026
$3.4M
NIGMS NIH HHS R35 GM133712NIH HHS R35GM133712
6 · The paper itself

Abstract

Many transcription factors (TFs) have been shown to bind to super-enhancers, forming transcriptional condensates to activate transcription in various cellular systems. However, the genomic and epigenomic determinants of phase-separated transcriptional condensate formation remain poorly understood. Questions regarding which TFs tend to associate with transcriptional condensates and what factors influence their association are largely unanswered. Here we systematically analyzed 571 DNA sequence motifs across the human genome and 6650 TF binding profiles across different cell types to identify the molecular features contributing to the formation of transcriptional condensates. We found that the genomic distributions of sequence motifs for different TFs exhibit distinct clustering tendencies. Notably, TF motifs with a high genomic clustering tendency are significantly associated with super-enhancers. TF binding profiles showing a high genomic clustering tendency are further enriched at cell-type-specific super-enhancers. TFs with a high binding clustering tendency also possess high liquid-liquid phase separation abilities. Compared to nonclustered TF binding, densely clustered TF binding sites are more enriched at cell-type-specific super-enhancers with higher chromatin accessibility, elevated chromatin interaction and stronger association with cancer outcomes. Our results indicate that the clustered genomic binding patterns and the phase separation properties of TFs collectively contribute to the formation of transcriptional condensates.

Indexed as

Enhancer Elements, GeneticGenome, HumanTranscription FactorsTranscription, GeneticBinding SitesChromatinCluster AnalysisGenomicsHumansNucleotide MotifsProtein BindingChromatinTranscription Factors

Identifiers

PMID39868536
PMCPMC11760973

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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.