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The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
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Updated: Jun 12, 2025

Author Spotlight: An Integrated Workflow to Study the Promoter-Centric Spatio-Temporal Genome Architecture in Scarce Cell Populations
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Exact burst-size distributions for gene-expression models with complex promoter structure.

Liying Zhou1, Haowen Chen1, Jinqiang Zhang1

  • 1School of Mathematics, Sun Yat-Sen University, Guangzhou, 510275, PR China.

Bio Systems
|September 19, 2024
PubMed
Summary

Gene transcription occurs in bursts. Promoter structure significantly influences burst size distribution, with complex promoters leading to non-geometric distributions, offering insights into gene regulation kinetics.

Keywords:
Bursting kineticsGene-expression modelGeometric distributionTranscriptional regulation

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Area of Science:

  • Molecular Biology
  • Systems Biology
  • Biophysics

Background:

  • Gene transcription in cells is characterized by bursty kinetics, with genes transcribed in intermittent bursts.
  • Complex gene regulatory mechanisms can lead to intricate promoter structures.
  • The relationship between promoter structure and transcriptional bursting kinetics remains an open question.

Purpose of the Study:

  • To investigate how promoter structure influences transcriptional bursting kinetics, specifically burst size and frequency.
  • To analyze stochastic models of gene transcription incorporating complex regulatory mechanisms.
  • To develop an efficient method for deriving exact burst-size distributions.

Main Methods:

  • Analysis of stochastic models of gene transcription.
  • Development of an efficient analytical method to derive exact burst-size distributions.
  • Mathematical modeling of gene promoters with single and multiple active states.

Main Results:

  • When a gene promoter has a single active state, burst size follows a geometric distribution.
  • Promoters with multiple active states result in burst-size distributions that are a weighted sum of geometric distributions (non-geometric).
  • This superposition principle characterizes bursting kinetics in complex regulatory scenarios.

Conclusions:

  • Promoter structure is a critical determinant of transcriptional bursting kinetics.
  • The derived burst-size distributions provide a framework for understanding and inferring gene transcription dynamics.
  • The findings highlight the importance of promoter complexity in shaping gene expression patterns.