How Transcription Factors Binding Stimulates Transcriptional Bursting

Transcription is a fundamental biological process of transferring genetic information which often occurs in stochastic bursts when periods of intense activity alternate with quiescent phases. Recent experiments identified strong correlations between the association of transcription factors (TFs) to gene promoters on DNA and transcriptional activity. However, the underlying molecular mechanisms of this phenomenon remain not well understood. Here, we present a theoretical framework that allowed us to investigate how binding dynamics of TF influences transcriptional bursting. Our minimal theoretical model incorporates the most relevant physical-chemical features, including TF exchange among multiple binding sites at gene promoters and TF association/dissociation dynamics. Using analytical calculations supported by Monte Carlo computer simulations, it is demonstrated that transcriptional bursting dynamics depends on the strength of TF binding and the number of binding sites. Stronger TF binding affinity prolongs burst duration but reduces variability, while an optimal number of binding sites maximizes transcriptional noise, facilitating cellular adaptation. Our theoretical method explains available experimental observations quantitatively, confirming the model's predictive accuracy. This study provides important insights into molecular mechanisms of gene expression and regulation, offering a new theoretical tool for understanding complex biological processes.

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Publication Details

Journal
The Journal of Physical Chemistry Letters
Published
2024-08-20
DOI
https://doi.org/10.1021/acs.jpclett.4c02050
Citations
5
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
1.17

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article

How Transcription Factors Binding Stimulates Transcriptional Bursting

Anatoly B. Kolomeisky, Anupam Mondal
5 citations
The Journal of Physical Chemistry Letters
Gene Regulatory Network Analysis
1.17
article

How Transcription Factors Binding Stimulates Transcriptional Bursting

Anatoly B. Kolomeisky, Anupam Mondal
article en
5 citations

Abstract

Transcription is a fundamental biological process of transferring genetic information which often occurs in stochastic bursts when periods of intense activity alternate with quiescent phases. Recent experiments identified strong correlations between the association of transcription factors (TFs) to gene promoters on DNA and transcriptional activity. However, the underlying molecular mechanisms of this phenomenon remain not well understood. Here, we present a theoretical framework that allowed us to investigate how binding dynamics of TF influences transcriptional bursting. Our minimal theoretical model incorporates the most relevant physical-chemical features, including TF exchange among multiple binding sites at gene promoters and TF association/dissociation dynamics. Using analytical calculations supported by Monte Carlo computer simulations, it is demonstrated that transcriptional bursting dynamics depends on the strength of TF binding and the number of binding sites. Stronger TF binding affinity prolongs burst duration but reduces variability, while an optimal number of binding sites maximizes transcriptional noise, facilitating cellular adaptation. Our theoretical method explains available experimental observations quantitatively, confirming the model's predictive accuracy. This study provides important insights into molecular mechanisms of gene expression and regulation, offering a new theoretical tool for understanding complex biological processes.

The Journal of Physical Chemistry LettersVol. 15(34)
Center for Theoretical Biological Physics (US), Rice University (US)
Welch Foundation, Division of Physics, National Heart, Lung, and Blood Institute, National Institute of General Medical Sciences
Openalex Percentile: Top 22%
Gene Regulatory Network Analysis
1.17
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How Transcription Factors Binding Stimulates Transcriptional Bursting — Anatoly B. Kolomeisky, Anupam Mondal · The Journal of Physical Chemistry Letters (2024) | TGRS Research Map | TGRS