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  • Letter
  • Open Access

Buffering variability in cell regulation motifs close to criticality

Daniele Proverbio1,2,*, Arthur N. Montanari1, Alexander Skupin1,3,4, and Jorge Gonçalves1,5

  • 1Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 6 Avenue du Swing, 4367, Belvaux, Luxembourg
  • 2College of Engineering, Mathematics and Physical Sciences, University of Exeter, EX4 4QL, Exeter, United Kingdom
  • 3Department of Physics and Material Science, University of Luxembourg, 162a Avenue de la Faiencerie, 1511 Luxembourg, Luxembourg
  • 4Department of Neuroscience, University of California San Diego, 9500 Gilman Drive, La Jolla, California, United States
  • 5Department of Plant Sciences, University of Cambridge, CB2 3EA, Cambridge, United Kingdom

  • *daniele.proverbio@uni.lu
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Phys. Rev. E 106, L032402 – Published 12 September, 2022

DOI: https://doi.org/10.1103/PhysRevE.106.L032402

Abstract

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.

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Phys. Rev. E 106, L032402– Published 12 September, 2022
  • Received 19 May 2022
  • Accepted 25 August 2022
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