Transcriptional condensates encode a “golden mean” to optimize enhancer–promoter communication across genomic distances

Enhancers regulate gene expression by physically contacting their target promoters, yet these contacts often span large genomic distances. Phase-separated condensates (droplet-like clusters) of transcription factors (TFs) are thought to facilitate such long-range enhancer-promoter (E-P) communication, but the quantitative principles underlying this mechanism remain unclear. Here, we use polymer-based chromatin simulations to systematically vary the strength of TF clustering and the E-P genomic distance, examining their combined effects on E-P contact formation. We find that E-P contact frequency shows a nonmonotonic dependence on the degree of TF clustering: Contact frequency peaks at an intermediate TF abundance and TF-TF affinity, leading to a "golden mean" optimum. Two distinct regimes emerge: Under weak TF-TF attraction, contact probability increases with condensate size, whereas strong TF attraction produces a peaked response that declines at high condensation levels. These results indicate that TF condensate acts as a tunable "rheostat," buffering E-P interactions against increasing genomic distances. However, excessive TF clustering leads to molecular crowding and competition that ultimately impair E-P communication. Our study, consistent with recent experiments, establishes a mechanistic framework at the molecular level, where balanced TF condensation enables robust long-range E-P communication, reconciling the stochastic nature of chromatin dynamics with the fidelity of gene regulation.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-10-24
DOI
https://doi.org/10.1073/pnas.2513371122
Citations
5
Primary Topic
Genomics and Chromatin Dynamics
Type
article
Field-Weighted Citation Impact
4.03
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article

Transcriptional condensates encode a “golden mean” to optimize enhancer–promoter communication across genomic distances

Xiakun Chu, Chunhe Li, Tao Zhu
5 citations
Proceedings of the National Academy of Sciences
Genomics and Chromatin Dynamics
4.03
article

Transcriptional condensates encode a “golden mean” to optimize enhancer–promoter communication across genomic distances

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

Abstract

Enhancers regulate gene expression by physically contacting their target promoters, yet these contacts often span large genomic distances. Phase-separated condensates (droplet-like clusters) of transcription factors (TFs) are thought to facilitate such long-range enhancer-promoter (E-P) communication, but the quantitative principles underlying this mechanism remain unclear. Here, we use polymer-based chromatin simulations to systematically vary the strength of TF clustering and the E-P genomic distance, examining their combined effects on E-P contact formation. We find that E-P contact frequency shows a nonmonotonic dependence on the degree of TF clustering: Contact frequency peaks at an intermediate TF abundance and TF-TF affinity, leading to a "golden mean" optimum. Two distinct regimes emerge: Under weak TF-TF attraction, contact probability increases with condensate size, whereas strong TF attraction produces a peaked response that declines at high condensation levels. These results indicate that TF condensate acts as a tunable "rheostat," buffering E-P interactions against increasing genomic distances. However, excessive TF clustering leads to molecular crowding and competition that ultimately impair E-P communication. Our study, consistent with recent experiments, establishes a mechanistic framework at the molecular level, where balanced TF condensation enables robust long-range E-P communication, reconciling the stochastic nature of chromatin dynamics with the fidelity of gene regulation.

Proceedings of the National Academy of SciencesVol. 122(43)
Hong Kong University of Science and Technology (HK), Fudan University (CN), Shanghai Institute for Science of Science (CN), Guangzhou Municipal Engineering Design and Research Institute (CN), Department of Mathematical Sciences (RU), Institute of Mathematical Statistics (US), Shanghai Center for Brain Science and Brain-Inspired Technology (CN), Institute of Science and Technology, University of Hong Kong (HK)
Openalex Percentile: Top 6%
Genomics and Chromatin Dynamics
4.03
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