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Transient hysteresis and inherent stochasticity in gene regulatory networks
- Source :
- Nature Communications, Vol 10, Iss 1, Pp 1-7 (2019), Nature Communications, RUC. Repositorio da Universidade da Coruña, instname, Digital.CSIC. Repositorio Institucional del CSIC
- Publication Year :
- 2019
- Publisher :
- Nature Portfolio, 2019.
-
Abstract
- 7 pages, 5 figures.-- This article is licensed under a Creative Commons Attribution 4.0 International License<br />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<br />M.P. and A.A.A. acknowledge funding from grant PIE201870E041; I.O.M. acknowledges funding from Spanish MINECO (and the European Regional Development Fund) project SYNBIOCONTROL (grant number DPI2017-82896-C2-2-R). C.V. has been partially funded by the spanish MINECO project MTM2016-76497-R and Xunta de Galicia grant ED431C2018/033
- Subjects :
- 0301 basic medicine
Bistability
Stochastic modelling
Molecular Networks (q-bio.MN)
Science
Gene regulatory network
General Physics and Astronomy
Dynamical Systems (math.DS)
Cell fate determination
Article
General Biochemistry, Genetics and Molecular Biology
Quantitative Biology::Cell Behavior
03 medical and health sciences
Condensed Matter::Materials Science
0302 clinical medicine
Condensed Matter::Superconductivity
Master equation
FOS: Mathematics
Quantitative Biology - Molecular Networks
Computer Simulation
Gene Regulatory Networks
Mathematics - Dynamical Systems
lcsh:Science
Physics
Stochastic Processes
Multidisciplinary
Models, Genetic
Stochastic process
Quantitative Biology::Molecular Networks
34C55 60H35 60G10 62P10 93E03
Cell Differentiation
General Chemistry
Cellular noise
Regulatory networks
Hysteresis
030104 developmental biology
FOS: Biological sciences
Computer modelling
lcsh:Q
Biological system
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 10
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Nature Communications
- Accession number :
- edsair.doi.dedup.....a8217998893c69e78f7bb5ade992bec8