Literature DB >> 31594925

Transient hysteresis and inherent stochasticity in gene regulatory networks.

M Pájaro1, I Otero-Muras1, C Vázquez2, A A Alonso3.   

Abstract

Cell fate determination, the process through which cells commit to differentiated states is commonly mediated by gene regulatory motifs with mutually exclusive expression states. The classical deterministic picture for cell fate determination includes bistability and hysteresis, which enables the persistence of the acquired cellular state after withdrawal of the stimulus, ensuring a robust cellular response. However, stochasticity inherent to gene expression dynamics is not compatible with hysteresis, since the stationary solution of the governing Chemical Master Equation does not depend on the initial conditions. We provide a quantitative description of a transient hysteresis phenomenon reconciling experimental evidence of hysteretic behaviour in gene regulatory networks with inherent stochasticity: under sufficiently slow dynamics hysteresis is transient. We quantify this with an estimate of the convergence rate to the equilibrium and introduce a natural landscape capturing system's evolution that, unlike traditional cell fate potential landscapes, is compatible with coexistence at the microscopic level.

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Year:  2019        PMID: 31594925      PMCID: PMC6783536          DOI: 10.1038/s41467-019-12344-w

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


  30 in total

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3.  Engineering of regulated stochastic cell fate determination.

Authors:  Min Wu; Ri-Qi Su; Xiaohui Li; Tom Ellis; Ying-Cheng Lai; Xiao Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2013-06-10       Impact factor: 11.205

Review 4.  Stochasticity and cell fate.

Authors:  Richard Losick; Claude Desplan
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5.  Noise can induce bimodality in positive transcriptional feedback loops without bistability.

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6.  Global quantification of mammalian gene expression control.

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Review 7.  Bistability, bifurcations, and Waddington's epigenetic landscape.

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Journal:  Curr Biol       Date:  2012-06-05       Impact factor: 10.834

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9.  SELANSI: a toolbox for simulation of stochastic gene regulatory networks.

Authors:  Manuel Pájaro; Irene Otero-Muras; Carlos Vázquez; Antonio A Alonso
Journal:  Bioinformatics       Date:  2018-03-01       Impact factor: 6.937

10.  Cell fate potentials and switching kinetics uncovered in a classic bistable genetic switch.

Authors:  Xiaona Fang; Qiong Liu; Christopher Bohrer; Zach Hensel; Wei Han; Jin Wang; Jie Xiao
Journal:  Nat Commun       Date:  2018-07-17       Impact factor: 14.919

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  3 in total

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2.  Stochastic SIR model predicts the evolution of COVID-19 epidemics from public health and wastewater data in small and medium-sized municipalities: A one year study.

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3.  Synchronization of gene expression across eukaryotic communities through chemical rhythms.

Authors:  Sara Pérez-García; Mario García-Navarrete; Diego Ruiz-Sanchis; Cristina Prieto-Navarro; Merisa Avdovic; Ornella Pucciariello; Krzysztof Wabnik
Journal:  Nat Commun       Date:  2021-06-29       Impact factor: 14.919

  3 in total

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