Buffering variability in cell regulation motifs close to criticality
arXiv:2212.08600 · doi: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.
References in corpus (11)
- Are biological systems poised at criticality?
- Tipping points in open systems: bifurcation, noise-induced and rate-dependent examples in the climate system
- Noise-based switches and amplifiers for gene expression
- A mathematical framework for critical transitions: bifurcations, fast-slow systems and stochastic dynamics
- Exact distributions for stochastic gene expression models with bursting and feedback
- Early Warning Signals and the Prosecutor's Fallacy
- A Universal Route to Explosive Phenomena
- Biological Regulatory Networks are Minimally Frustrated
- How to address cellular heterogeneity by distribution biology
- Anticipating regime shifts in gene expression: The case of an autoactivating positive feedback loop
- Biochemical feedback and its application to immune cells II: dynamics and critical slowing down