[en] Bistable biological regulatory systems need to cope with stochastic noise to fine tune their function close to bifurcation points. Here, we study stability properties of this regime in generic systems to demonstrate that cooperative interactions buffer system variability, hampering noise-induced regime shifts. Our analysis also shows that, in the considered cooperativity range, impending regime shifts can be generically detected by statistical early warning signals from distributional data. Our generic framework, based on minimal models, can be used to extract robustness and variability properties of more complex models and empirical data close to criticality.
Our generic framework, based on minimal models, can be used to extract robustness and variability properties of more complex models and empirical data close to criticality.
Centre de recherche :
- Luxembourg Centre for Systems Biomedicine (LCSB): Systems Control (Goncalves Group)
Disciplines :
Physique, chimie, mathématiques & sciences de la terre: Multidisciplinaire, généralités & autres
Auteur, co-auteur :
PROVERBIO, Daniele ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Systems Control
NORONHA MONTANARI, Arthur ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Systems Control
SKUPIN, Alexander ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Integrative Cell Signalling
GONCALVES, Jorge ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Systems Control
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
Buffering variability in cell regulation motifs close to criticality
Date de publication/diffusion :
2022
Titre du périodique :
Physical Review. E
ISSN :
2470-0045
eISSN :
2470-0053
Maison d'édition :
American Physical Society, Ridge, Etats-Unis - New York
Peer reviewed :
Peer reviewed vérifié par ORBi
Focus Area :
Systems Biomedicine
Projet FnR :
FNR10907093 - Critical Transitions In Complex Systems: From Theory To Applications, 2015 (01/11/2016-30/04/2023) - Jorge Gonçalves
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