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Journal of Systems Science and Complexity

, Volume 32, Issue 2, pp 600–614 | Cite as

Influence of Complex Promoter Structure on Gene Expression

  • Huahai Qiu
  • Bengong ZhangEmail author
  • Tianshou ZhouEmail author
Article
  • 30 Downloads

Abstract

A gene is often regulated by a variety of transcription factors, leading to complex promoter structure. However, how this structure affects gene expression remains elusive. Here, this paper studies a stochastic gene model with the promoter containing arbitrarily many active and inactive states. First, the authors use the binomial moment method to derive analytical steady-state distributions of the mRNA and protein numbers. Then, the authors analytically investigate how the promoter structure impacts the mean expression levels and the expression noise. Third, numerical simulation finds interesting phenomena, e.g., the common on-off model overestimates the expression noise in contrast to multiple-state models; the multi-on mechanism can reduce the expression noise more than the multi-off mechanism if the mean expression level is kept the same; and multiple exits of transcription can result in multimodal distributions.

Keywords

Binomial moment method expression noise gene model probability distribution promoter structure 

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Copyright information

© The Editorial Office of JSSC & Springer-Verlag GmbH Germany 2019

Authors and Affiliations

  1. 1.School of Mathematics and Computers, Engineering Research Center of Hubei Province for Clothing InformationWuhan Textile UniversityWuhanChina

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