A mathematical analysis of an activator-inhibitor Rho GTPase model

Ogesa Juma, Victor, Dehmelt, Leif, Portet, Stéphanie and Madzvamuse, Anotida (2021) A mathematical analysis of an activator-inhibitor Rho GTPase model. Journal of Computational Dynamics. ISSN 2158-2491

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Recent experimental observations reveal that local cellular contraction pulses emerge via a combination of fast positive and slow negative feedbacks based on a signal network composed of Rho, GEF and Myosin interactions [22]. As an examplary, we propose to study a plausible, hypothetical temporal model that mirrors general principles of fast positive and slow negative feedback, a hallmark for activator-inhibitor models. The methodology involves (ⅰ) a qualitative analysis to unravel system switching between different states (stable, excitable, oscillatory and bistable) through model parameter variations; (ⅱ) a numerical bifurcation analysis using the positive feedback mediator concentration as a bifurcation parameter, (ⅲ) a sensitivity analysis to quantify the effect of parameter uncertainty on the model output for different dynamic regimes of the model system; and (ⅳ) numerical simulations of the model system for model predictions. Our methodological approach supports the role of mathematical and computational models in unravelling mechanisms for molecular and developmental processes and provides tools for analysis of temporal models of this nature.

Item Type: Article
Schools and Departments: School of Mathematical and Physical Sciences > Mathematics
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 08 Nov 2021 09:11
Last Modified: 27 Jan 2022 16:55
URI: http://sro.sussex.ac.uk/id/eprint/102711

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