Transient hysteresis and inherent stochasticity in gene regulatory networks

被引:0
|
作者
M. Pájaro
I. Otero-Muras
C. Vázquez
A. A. Alonso
机构
[1] IIM-CSIC. Spanish National Research Council,BioProcess Engineering Group
[2] University of A Coruña,Department of Mathematics
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
相关论文
共 50 条
  • [1] Transient hysteresis and inherent stochasticity in gene regulatory networks
    Pajaro, M.
    Otcro-Muras, I
    Vazquez, C.
    Alonso, A. A.
    [J]. NATURE COMMUNICATIONS, 2019, 10 (1)
  • [2] Modeling stochasticity and robustness in gene regulatory networks
    Garg, Abhishek
    Mohanram, Kartik
    Di Cara, Alessandro
    De Micheli, Giovanni
    Xenarios, Ioannis
    [J]. BIOINFORMATICS, 2009, 25 (12) : I101 - I109
  • [3] Modeling stochasticity and variability in gene regulatory networks
    Murrugarra, David
    Veliz-Cuba, Alan
    Aguilar, Boris
    Arat, Seda
    Laubenbacher, Reinhard
    [J]. EURASIP JOURNAL ON BIOINFORMATICS AND SYSTEMS BIOLOGY, 2012, (01)
  • [4] Modeling of Hysteresis in Gene Regulatory Networks
    Hu, J.
    Qin, K. R.
    Xiang, C.
    Lee, T. H.
    [J]. BULLETIN OF MATHEMATICAL BIOLOGY, 2012, 74 (08) : 1727 - 1753
  • [5] Modeling of Hysteresis in Gene Regulatory Networks
    J. Hu
    K. R. Qin
    C. Xiang
    T. H. Lee
    [J]. Bulletin of Mathematical Biology, 2012, 74 : 1727 - 1753
  • [6] Gene regulatory networks and the role of robustness and stochasticity in the control of gene expression
    MacNeil, Lesley T.
    Walhout, Albertha J. M.
    [J]. GENOME RESEARCH, 2011, 21 (05) : 645 - 657
  • [7] Gene regulatory networks and the role of robustness and stochasticity in the control of gene expression (vol 21, pg 645, 2011)
    MacNeil, Lesley T.
    Walhout, Albertha J. M.
    [J]. GENOME RESEARCH, 2011, 21 (06) : 999 - 999
  • [8] RNA Regulatory Networks as a Control of Stochasticity in Biological Systems
    Vandevenne, Marylene
    Delmarcelle, Michael
    Galleni, Moreno
    [J]. FRONTIERS IN GENETICS, 2019, 10
  • [9] Stochasticity of relay systems with hysteresis
    Postnikov, NS
    [J]. AUTOMATION AND REMOTE CONTROL, 1998, 59 (03) : 349 - 358
  • [10] Cellular Darwinism: Regulatory networks, stochasticity, and selection in cancer development
    Noble, Denis
    [J]. PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY, 2021, 165 : 66 - 71