The influence of nuclear compartmentalisation on stochastic dynamics of self-repressing gene expression

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Title: The influence of nuclear compartmentalisation on stochastic dynamics of self-repressing gene expression
Authors: Sturrock, M
Li, S
Shahrezaei, V
Item Type: Journal Article
Abstract: Gene expression is an inherently noisy process. This noise is generally thought to be deleterious as precise internal regulation of biochemical reactions is essential for cell growth and survival. Self-repression of gene expression, which is the simplest form of a negative feedback loop, is commonly believed to be employed by cellular systems to decrease the stochastic fluctuations in gene expression. When there is some delay in autoregulation, it is also believed that this system can generate oscillations. In eukaryotic cells, mRNAs that are synthesised in the nucleus must be exported to the cytoplasm to function in protein synthesis, whereas proteins must be transported into the nucleus from the cytoplasm to regulate the expression levels of genes. Nuclear transport thus plays a critical role in eukaryotic gene expression and regulation. Some recent studies have suggested that nuclear retention of mRNAs can control noise in mRNA expression. However, the effect of nuclear transport on protein noise and its interplay with negative feedback regulation is not completely understood. In this paper, we systematically compare four different simple models of gene expression. By using simulations and applying the linear noise approximation to the corresponding chemical master equations, we investigate the influence of nuclear import and export on noise in gene expression in a negative autoregulatory feedback loop. We first present results consistent with the literature, i.e., that negative feedback can effectively buffer the variability in protein levels, and nuclear retention can decrease mRNA noise levels. Interestingly we find that when negative feedback is combined with nuclear retention, an amplification in gene expression noise can be observed and is dependant on nuclear translocation rates. Finally, we investigate the effect of nuclear compartmentalisation on the ability of self-repressing genes to exhibit stochastic oscillatory dynamics.
Issue Date: 7-Jul-2017
Date of Acceptance: 3-May-2017
ISSN: 0022-5193
Publisher: Elsevier
Start Page: 55
End Page: 72
Journal / Book Title: Journal of Theoretical Biology
Volume: 424
Copyright Statement: © 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Sponsor/Funder: The Leverhulme Trust
Funder's Grant Number: RPG-2014-408
Keywords: Science & Technology
Life Sciences & Biomedicine
Mathematical & Computational Biology
Life Sciences & Biomedicine - Other Topics
Stochastic gene expression
Negative feedback
Nuclear compartmentalisation
01 Mathematical Sciences
06 Biological Sciences
08 Information And Computing Sciences
Evolutionary Biology
Publication Status: Published
Appears in Collections:Mathematics
Applied Mathematics and Mathematical Physics
Faculty of Natural Sciences

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