3D-super-enhancers are condensate-associated <i>cis</i> -regulatory communities

Transcription proteins are concentrated at nuclear transcriptional condensates. These condensates contain cis-regulatory elements (CREs), including enhancers and promoters, that are thought to regulate genes in the same condensate. The roles of condensates are of great current interest, but research into their function is limited by an inability to comprehensively identify their associated CREs. Here, we present a conceptual framework and algorithm, BOUQUET, for integrating genome topology, chromatin occupancy, and graph theory to associate CREs and transcription protein machinery with target genes and identify exceptionally protein-rich communities that interact with condensates. BOUQUET uncovers surprising quantitative correlations between community protein accumulation and gene expression phenotypes by combining accurate CRE-gene assignment with co-activator binding profiles. A small subset of communities, which we call "3D-super-enhancers (3D-SEs)," is exceptionally protein-rich. BOUQUET-predicted 3D-SEs are comparable in number to co-activator nuclear puncta, and all genes known to interact with co-activator condensates in embryonic stem cells are within 3D-SEs. 3D-SEs are enriched for association with cell identity genes across mammalian tissues. Microscopy analyses show frequent co-localization and co-expression of genes from the same 3D-SE within a single co-activator punctum, suggesting 3D-SE components interact with co-activator condensates. Thus, 3D-SEs correspond to co-activator puncta, and our approaches nominate the CREs and genes within them as being condensate-associated.

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Publication Details

Journal
Nucleic Acids Research
Published
2026-02-24
DOI
https://doi.org/10.1093/nar/gkag191
Primary Topic
Genomics and Chromatin Dynamics
Type
article
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article

3D-super-enhancers are condensate-associated cis -regulatory communities

Kelsey A. Maher, Brian J. Abraham, Seth Staller, Stanley Pounds et al.
Nucleic Acids Research
Genomics and Chromatin Dynamics
article

3D-super-enhancers are condensate-associated cis -regulatory communities

Kelsey A. Maher, Brian J. Abraham, Seth Staller, Stanley Pounds, Alaguraj Veluchamy, Steven J. Burden, Virginia Valentine, Yuna Kim, M B Valentine, Bensheng Ju, John Easton, Jie Lv, Li Tian, Li Dong
article en

Abstract

Transcription proteins are concentrated at nuclear transcriptional condensates. These condensates contain cis-regulatory elements (CREs), including enhancers and promoters, that are thought to regulate genes in the same condensate. The roles of condensates are of great current interest, but research into their function is limited by an inability to comprehensively identify their associated CREs. Here, we present a conceptual framework and algorithm, BOUQUET, for integrating genome topology, chromatin occupancy, and graph theory to associate CREs and transcription protein machinery with target genes and identify exceptionally protein-rich communities that interact with condensates. BOUQUET uncovers surprising quantitative correlations between community protein accumulation and gene expression phenotypes by combining accurate CRE-gene assignment with co-activator binding profiles. A small subset of communities, which we call "3D-super-enhancers (3D-SEs)," is exceptionally protein-rich. BOUQUET-predicted 3D-SEs are comparable in number to co-activator nuclear puncta, and all genes known to interact with co-activator condensates in embryonic stem cells are within 3D-SEs. 3D-SEs are enriched for association with cell identity genes across mammalian tissues. Microscopy analyses show frequent co-localization and co-expression of genes from the same 3D-SE within a single co-activator punctum, suggesting 3D-SE components interact with co-activator condensates. Thus, 3D-SEs correspond to co-activator puncta, and our approaches nominate the CREs and genes within them as being condensate-associated.

Nucleic Acids ResearchVol. 54(5)
St. Jude Children's Research Hospital (US)
Openalex Percentile: Top 28%
Genomics and Chromatin Dynamics
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