Predicting the asymmetric response of a genetic switch to noise
Anna Ochab-Marcinek

TL;DR
This paper introduces an analytical method to predict how genetic switches respond asymmetrically to weak, rapid noise, demonstrated on the lac operon model, revealing noise-induced shifts in stationary states and their effects on bistability.
Contribution
The paper presents a simple analytical tool for predicting asymmetric responses of genetic switches to noise, validated on a lac operon model with excellent agreement to simulations.
Findings
Noise causes asymmetric shifts in stationary states.
Environmental fluctuations do not break bistability.
Noise stabilizes certain system behaviors against switching.
Abstract
We present a simple analytical tool which gives an approximate insight into the stationary behavior of nonlinear systems undergoing the influence of a weak and rapid noise from one dominating source, e.g. the kinetic equations describing a genetic switch with the concentration of one substrate fluctuating around a constant mean. The proposed method allows for predicting the asymmetric response of the genetic switch to noise, arising from the noise-induced shift of stationary states. The method has been tested on an example model of the lac operon regulatory network: a reduced Yildirim-Mackey model with fluctuating extracellular lactose concentration. We calculate analytically the shift of the system's stationary states in the presence of noise. The results of the analytical calculation are in excellent agreement with the results of numerical simulation of the noisy system. The…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
