Gene switching rate determines response to extrinsic perturbations in a transcriptional network motif
Sebastiano de Franciscis, Giulio Caravagna, Alberto d'Onofrio

TL;DR
This study explores how gene switching rates influence the response of transcriptional networks to extrinsic bounded noise, revealing phase transitions dependent on switching speed, noise intensity, and cell size.
Contribution
It introduces a detailed analysis of gene switching dynamics under realistic bounded extrinsic noise, highlighting their role in network response and phase transitions.
Findings
Fast gene switching leads to irreversible noise-induced phase transitions.
Slow gene switching prevents first order transitions.
Cell size and noise autocorrelation influence transition types.
Abstract
It is well-known that gene activation/deactivation dynamics may be a major source of randomness in genetic networks, also in the case of large concentrations of the transcription factors. In this work, we investigate the effect of realistic extrinsic noises acting on gene deactivation in a common network motif - the positive feedback of a transcription factor on its own synthesis - under a variety of settings, i.e., distinct cellular types, distribution of proteins and properties of the external perturbations. At variance with standard models where the perturbations are Gaussian unbounded, we focus here on bounded extrinsic noises to better mimic biological reality. Our results suggest that the gene switching velocity is a key parameter to modulate the response of the network. Simulations suggest that, if the gene switching is fast and many proteins are present, an irreversible…
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Taxonomy
TopicsGene Regulatory Network Analysis
