The effect of microRNA on protein variability and gene expression fidelity

被引:6
作者
Fan, Raymond [1 ,2 ]
Hilfinger, Andreas [1 ,2 ,3 ,4 ]
机构
[1] Univ Toronto, Dept Phys, Toronto, ON, Canada
[2] Univ Toronto, Dept Chem & Phys Sci, Mississauga, ON, Canada
[3] Univ Toronto, Dept Cell & Syst Biol, Toronto, ON, Canada
[4] Univ Toronto, Dept Math, Toronto, ON, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
STEADY-STATE APPROXIMATIONS; MESSENGER-RNA; ANALYTICAL DISTRIBUTIONS; NOISE; FLUCTUATIONS; MODELS; ROLES;
D O I
10.1016/j.bpj.2023.01.027
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Small regulatory RNA molecules such as microRNA modulate gene expression through inhibiting the translation of messenger RNA (mRNA). Such posttranscriptional regulation has been recently hypothesized to reduce the stochastic vari-ability of gene expression around average levels. Here, we quantify noise in stochastic gene expression models with and without such regulation. Our results suggest that silencing mRNA posttranscriptionally will always increase, rather than decrease, gene expression noise when the silencing of mRNA also increases its degradation, as is expected for microRNA interactions with mRNA. In that regime, we also find that silencing mRNA generally reduces the fidelity of signal transmission from determinis-tically varying upstream factors to protein levels. These findings suggest that microRNA binding to mRNA does not generically confer precision to protein expression.
引用
收藏
页码:905 / 923
页数:19
相关论文
共 59 条
[1]   Product-Form Stationary Distributions for Deficiency Zero Chemical Reaction Networks [J].
Anderson, David F. ;
Craciun, Gheorghe ;
Kurtz, Thomas G. .
BULLETIN OF MATHEMATICAL BIOLOGY, 2010, 72 (08) :1947-1970
[2]   Small regulatory RNAs in Archaea [J].
Babski, Julia ;
Maier, Lisa-Katharina ;
Heyer, Ruth ;
Jaschinski, Katharina ;
Prasse, Daniela ;
Jaeger, Dominik ;
Randau, Lennart ;
Schmitz, Ruth A. ;
Marchfelder, Anita ;
Soppa, Joerg .
RNA BIOLOGY, 2014, 11 (05) :484-493
[3]   The impact of microRNAs on protein output [J].
Baek, Daehyun ;
Villen, Judit ;
Shin, Chanseok ;
Camargo, Fernando D. ;
Gygi, Steven P. ;
Bartel, David P. .
NATURE, 2008, 455 (7209) :64-U38
[4]   Engineering stability in gene networks by autoregulation [J].
Becskei, A ;
Serrano, L .
NATURE, 2000, 405 (6786) :590-593
[5]   Exact solution of stochastic gene expression models with bursting, cell cycle and replication dynamics [J].
Beentjes, Casper H. L. ;
Perez-Carrasco, Ruben ;
Grima, Ramon .
PHYSICAL REVIEW E, 2020, 101 (03)
[6]   MicroRNA Based Feedforward Control of Intrinsic Gene Expression Noise [J].
Bokes, Pavol ;
Hojcka, Michal ;
Singh, Abhyudai .
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2021, 18 (01) :272-282
[7]  
Baez JC, 2019, Arxiv, DOI [arXiv:1209.3632, DOI 10.48550/ARXIV.1209.3632, 10.48550/arXiv.1209.3632]
[8]   Analytical distributions for detailed models of stochastic gene expression in eukaryotic cells [J].
Cao, Zhixing ;
Grima, Ramon .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (09) :4682-4692
[9]  
Carignano A, 2018, IEEE DECIS CONTR P, P4353, DOI 10.1109/CDC.2018.8619371
[10]   Protein Noise and Distribution in a Two-Stage Gene-Expression Model Extended by an mRNA Inactivation Loop [J].
Celik, Candan ;
Bokes, Pavol ;
Singh, Abhyudai .
COMPUTATIONAL METHODS IN SYSTEMS BIOLOGY, CMSB 2021, 2021, 12881 :215-229