Nucleic Acids ResearchMolecular BiologyPeer-reviewed journal article
3D-super-enhancers are condensate-associated cis-regulatory communities
Jie LviD, Kelsey A. MaheriD, Li Dong, Virginia A. ValentineiD, Seth StalleriD, Alaguraj VeluchamyiD, Li Tian, Yuna KimiD, Bensheng JuiD, M B Valentine, John B. EastoniD, Stanley B PoundsiD, Steven Burden, Brian J. AbrahamiD
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," 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, which nominates additional condensate-associated genes and CREs.
- organism: human
- organism: mouse
- assay: ChIP-seq
- assay: DNA methylation
- assay: Hi-C
- research focus: gene regulatory network inference
- research focus: clustering
- research focus: differential expression
- research focus: cell type annotation
- approach: statistical model
- approach: graph neural network
- Citations
- 5
- FWCI
- 10.26
- Field percentile
- top 2%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Classical enhancers couple cis-regulatory logic with transcriptional condensates and 3D genome architecture
Ville Tiusanen, Divyesh Patel, … Biswajyoti Sahu·bioRxiv·Jan 23, 2026
- Enhancer features that drive formation of transcriptional condensates
Krishna Shrinivas, Benjamin R. Sabari, … Arup K. Chakraborty·Molecular CellPeer-reviewed·Aug 1, 2019
- Super-enhancer interactomes from single cells link clustering and transcription
Derek J. Le, Antonina Hafner, … Alistair Nicol Boettiger·bioRxiv·May 8, 2024
- Spatially clustered pattern of transcription factor binding reveals phase-separated transcriptional condensates at super-enhancers
Zhenjia Wang, Shengyuan Wang, Chongzhi Zang·bioRxiv·Jun 18, 2023
- BRD4, Mediator, and Pol II form heterogeneous condensates with distinct transcriptional and acetylation-dependent states
Samuel Shoup, Alina Schaaf, … Sandra Schick·bioRxiv·Jun 8, 2026
- Regulatory roles of three-dimensional structures of chromatin domains
Kelly Yichen Li, Qin Cao, … Kevin Yuk-Lap Yip·Genome biologyPeer-reviewed·Jun 27, 2025