2022 Annual Meeting
(27c) Thermodynamic Control of Activity Patterns in Cytoskeletal Networks
Authors
Alexandra Lamtyugina, University of Chicago
Aaron Dinner, University of Chicago
Suriyanarayanan Vaikuntanathan, University of Chicago
Étienne Fodor, University of Luxembourg
Biological materials, such as the actin cytoskeleton, exhibit remarkable structural adaptability to various external stimuli by consuming different amounts of energy. In this work, we use methods from large deviation theory to identify a thermodynamic control principle for structural transitions in a model cytoskeletal network. Specifically, we demonstrate that biasing the dynamics with respect to the work done by nonequilibrium components effectively renormalizes the interaction strength between such components, which can eventually result in a morphological transition. Our work demonstrates how a thermodynamic quantity can be used to renormalize effective interactions, which in turn can tune structure in a predictable manner, suggesting a thermodynamic principle for the control of cytoskeletal structure and dynamics.