Fluctuating Chromatin Facilitates Enhancer–Promoter Communication by Regulating Transcriptional Clustering Dynamics

Enhancers regulate gene expression by forming contacts with distant promoters. Phase-separated condensates or clusters formed by transcription factors (TFs) and cofactors are thought to facilitate these enhancer-promoter (E-P) interactions. Using polymer physics, we developed distinct coarse-grained chromatin models that produce similar ensemble-averaged Hi-C maps but with "stable" and "dynamic" characteristics. Our findings, consistent with recent experiments, reveal a multistep E-P communication process. The dynamic model facilitates E-P proximity by enhancing TF clustering and subsequently promotes direct E-P interactions by destabilizing the TF clusters through chain flexibility. Our study promotes physical understanding of the molecular mechanisms governing E-P communication in transcriptional regulation.

Authors

Institutions

Publication Details

Journal
The Journal of Physical Chemistry Letters
Published
2024-11-07
DOI
https://doi.org/10.1021/acs.jpclett.4c02453
Citations
4
Primary Topic
Genomics and Chromatin Dynamics
Type
article
Field-Weighted Citation Impact
0.94

Funders

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

Fluctuating Chromatin Facilitates Enhancer–Promoter Communication by Regulating Transcriptional Clustering Dynamics

Xiakun Chu, Chunhe Li, Tao Zhu
4 citations
The Journal of Physical Chemistry Letters
Genomics and Chromatin Dynamics
0.94
article

Fluctuating Chromatin Facilitates Enhancer–Promoter Communication by Regulating Transcriptional Clustering Dynamics

Xiakun Chu, Chunhe Li, Tao Zhu
article en
4 citations

Abstract

Enhancers regulate gene expression by forming contacts with distant promoters. Phase-separated condensates or clusters formed by transcription factors (TFs) and cofactors are thought to facilitate these enhancer-promoter (E-P) interactions. Using polymer physics, we developed distinct coarse-grained chromatin models that produce similar ensemble-averaged Hi-C maps but with "stable" and "dynamic" characteristics. Our findings, consistent with recent experiments, reveal a multistep E-P communication process. The dynamic model facilitates E-P proximity by enhancing TF clustering and subsequently promotes direct E-P interactions by destabilizing the TF clusters through chain flexibility. Our study promotes physical understanding of the molecular mechanisms governing E-P communication in transcriptional regulation.

The Journal of Physical Chemistry LettersVol. 15(45)
Hong Kong University of Science and Technology (HK), Fudan University (CN), Shanghai Institute for Science of Science (CN), Shanghai Center for Brain Science and Brain-Inspired Technology (CN), University of Hong Kong (HK)
National Natural Science Foundation of China, Hong Kong University of Science and Technology, Guangzhou Municipal Science and Technology Project, National Key Research and Development Program of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 25%
Genomics and Chromatin Dynamics
0.94
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.