Logic-dependent emergence of multistability, hysteresis, and biphasic dynamics in a minimal positive feedback network with an autoloop
Akriti Srivastava, Mubasher Rashid

TL;DR
This study investigates a minimal positive feedback network with an autoloop, revealing how multimerization and Boolean logic influence cellular multistability, hysteresis, and biphasic dynamics, which are key for understanding cell state transitions.
Contribution
It demonstrates that a simple two-component network can exhibit mono-, bi-, and tristability depending on multimerization and logic, providing insights into cellular decision-making mechanisms.
Findings
Bistability and biphasic dynamics with monomeric regulation and OR logic.
Monostability with non-competitive AND/OR logic unless multimerization increases.
Tristability achieved with higher multimerization and non-competitive OR logic.
Abstract
Cellular decision-making (CDM) is a dynamic phenomenon often controlled by regulatory networks defining interactions between genes and transcription factor proteins. Traditional studies have focussed on molecular switches such as positive feedback circuits that exhibit at most bistability. However, higher-order dynamics such as tristability is also prominent in many biological processes. It is thus imperative to identify a minimal circuit that can alone explain mono, bi, and tristable dynamics. In this work, we consider a two-component positive feedback network with an autoloop and explore these regimes of stability for different degrees of multimerization and the choice of Boolean logic functions. We report that this network can exhibit numerous dynamical scenarios such as bi-and tristability, hysteresis, and biphasic kinetics, explaining the possibilities of abrupt cell state…
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Advanced Thermodynamics and Statistical Mechanics · stochastic dynamics and bifurcation
