Recurrent enhancer-promoter interactions across samples

Enhancer-promoter interactions (EPIs) are fundamental to gene regulation, and clarifying their recurrence across diverse biological contexts is key to understanding chromatin architecture. Here, we systematically evaluate EPI recurrence using 95 HiChIP and 266 Hi-C datasets spanning multiple cell types, cell lines, and experimental conditions. We find that each of the majority of EPIs identified in any given sample is also observed in other samples, largely independent of assay type, cellular context, or enhancer annotation strategy. EPIs unique to an individual sample tend to occur in regions with fewer neighboring EPIs or in a sample with greater sequencing depth, indicating that many such "unique" EPIs likely reflect low sequencing depth rather than true biological specificity. Collectively, our results suggest that most human EPIs may have already been cataloged, and that gene regulation primarily relies on the selective reuse of a shared pool of EPIs across contexts. Thus, while EPIs are context-specific in pairwise sample comparisons, they are broadly recurrent when considered across a large compendium of samples. These findings underscore the pervasive and reusable nature of EPIs and have important implications for the interpretation of chromatin conformation data.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2026-11-02
DOI
https://doi.org/10.1371/journal.pone.0360620
Primary Topic
Genomics and Chromatin Dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recurrent enhancer-promoter interactions across samples

Xiaoman Li, Haiyan Hu, Satvik Gunjala
2 links
PLoS ONE
Genomics and Chromatin Dynamics
article

Recurrent enhancer-promoter interactions across samples

Xiaoman Li, Haiyan Hu, Satvik Gunjala
article en

Abstract

Enhancer-promoter interactions (EPIs) are fundamental to gene regulation, and clarifying their recurrence across diverse biological contexts is key to understanding chromatin architecture. Here, we systematically evaluate EPI recurrence using 95 HiChIP and 266 Hi-C datasets spanning multiple cell types, cell lines, and experimental conditions. We find that each of the majority of EPIs identified in any given sample is also observed in other samples, largely independent of assay type, cellular context, or enhancer annotation strategy. EPIs unique to an individual sample tend to occur in regions with fewer neighboring EPIs or in a sample with greater sequencing depth, indicating that many such "unique" EPIs likely reflect low sequencing depth rather than true biological specificity. Collectively, our results suggest that most human EPIs may have already been cataloged, and that gene regulation primarily relies on the selective reuse of a shared pool of EPIs across contexts. Thus, while EPIs are context-specific in pairwise sample comparisons, they are broadly recurrent when considered across a large compendium of samples. These findings underscore the pervasive and reusable nature of EPIs and have important implications for the interpretation of chromatin conformation data.

PLoS ONEVol. 21(11)
University of Central Florida (US)
National Science Foundation
Good health and well-being
Openalex Percentile: Top 99%
Genomics and Chromatin Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon