Literature DB >> 23064825

Origins of binary gene expression in post-transcriptional regulation by microRNAs.

I Bose1, S Ghosh.   

Abstract

MicroRNA-mediated regulation of gene expression is characterised by some distinctive features that set it apart from unregulated and transcription-factor-regulated gene expression. Recently, a mathematical model has been proposed to describe the dynamics of post-transcriptional regulation by microRNAs. The model explains the observations made in single-cell experiments quite well. In this paper, we introduce some additional features into the model and consider two specific cases. In the first case, a noncooperative positive feedback loop is included in the transcriptional regulation of the target gene expression. In the second case, a stochastic version of the original model is considered in which there are random transitions between the inactive and active expression states of the gene. In the first case we show that bistability is possible in a parameter regime, due to the presence of a nonlinear protein decay term in the gene expression dynamics. In the second case, we derive the conditions for obtaining stochastic binary gene expression. We find that this type of gene expression is more favourable in the case of regulation by microRNAs as compared to the case of unregulated gene expression. The theoretical predictions relating to binary gene expression are experimentally testable.

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Year:  2012        PMID: 23064825     DOI: 10.1140/epje/i2012-12102-2

Source DB:  PubMed          Journal:  Eur Phys J E Soft Matter        ISSN: 1292-8941            Impact factor:   1.890


  30 in total

1.  Stochasticity in transcriptional regulation: origins, consequences, and mathematical representations.

Authors:  T B Kepler; T C Elston
Journal:  Biophys J       Date:  2001-12       Impact factor: 4.033

2.  Emergent bistability: effects of additive and multiplicative noise.

Authors:  S Ghosh; S Banerjee; I Bose
Journal:  Eur Phys J E Soft Matter       Date:  2012-02-23       Impact factor: 1.890

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Authors:  Wiep Klaas Smits; Oscar P Kuipers; Jan-Willem Veening
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Review 4.  Bistability, epigenetics, and bet-hedging in bacteria.

Authors:  Jan-Willem Veening; Wiep Klaas Smits; Oscar P Kuipers
Journal:  Annu Rev Microbiol       Date:  2008       Impact factor: 15.500

5.  Molecular titration and ultrasensitivity in regulatory networks.

Authors:  Nicolas E Buchler; Matthieu Louis
Journal:  J Mol Biol       Date:  2008-10-10       Impact factor: 5.469

6.  Efficient degradation and expression prioritization with small RNAs.

Authors:  Namiko Mitarai; Anna M C Andersson; Sandeep Krishna; Szabolcs Semsey; Kim Sneppen
Journal:  Phys Biol       Date:  2007-10-02       Impact factor: 2.583

7.  Noise can induce bimodality in positive transcriptional feedback loops without bistability.

Authors:  Tsz-Leung To; Narendra Maheshri
Journal:  Science       Date:  2010-02-26       Impact factor: 47.728

Review 8.  MicroRNA control of signal transduction.

Authors:  Masafumi Inui; Graziano Martello; Stefano Piccolo
Journal:  Nat Rev Mol Cell Biol       Date:  2010-03-10       Impact factor: 94.444

Review 9.  Nature, nurture, or chance: stochastic gene expression and its consequences.

Authors:  Arjun Raj; Alexander van Oudenaarden
Journal:  Cell       Date:  2008-10-17       Impact factor: 41.582

10.  Quantitative characteristics of gene regulation by small RNA.

Authors:  Erel Levine; Zhongge Zhang; Thomas Kuhlman; Terence Hwa
Journal:  PLoS Biol       Date:  2007-09       Impact factor: 8.029

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  2 in total

1.  A comprehensive expression profile of micrornas in rat's pituitary.

Authors:  Bao Yuan; Dong-Xu Han; Li-Sheng Dai; Yan Gao; Yu Ding; Xian-Feng Yu; Jian Chen; Hao Jiang; Cheng-Zhen Chen; Jia-Bao Zhang
Journal:  Int J Clin Exp Med       Date:  2015-08-15

2.  On the role of extrinsic noise in microRNA-mediated bimodal gene expression.

Authors:  Marco Del Giudice; Stefano Bo; Silvia Grigolon; Carla Bosia
Journal:  PLoS Comput Biol       Date:  2018-04-17       Impact factor: 4.475

  2 in total

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