APS Logo

Onsager Reciprocity in the establishment of excitable waves

ORAL · Invited

Abstract

Living systems are driven far from thermodynamic equilibrium through the continuous consumption of ambient energy. In the cell cortex, this energy is invested in the formation of diverse patterns in chemical and mechanical activities, whose spatial and temporal dynamics determine the cell phenotypes and behaviours. How cells partition internal energy between these activities is unknown. Here we measured the entropy production rate of both chemical and mechanical subsystems of the cell cortex across a variety of patterns as the system is driven further from equilibrium.We do this by manipulating the Rho GTPase pathway, which controls cortical actin filaments and myosin-II. At lower levels of GTPase-activating protein expression, which produce pulses or choppy Rho and actin filament waves, energy is proportionally partitioned between the two subsystems and is subject to the constraint of Onsager reciprocity. Within the range of reciprocity, the entropy production rate is maximized in choppy waves. As the cortex is driven into labyrinthine or spiral travelling waves, reciprocity is broken, marking an increasingly differential partitioning of energy and an uncoupling of chemical and mechanical activities. We further demonstrate that energy partitioning and reciprocity are determined by the competing timescales between chemical reaction and mechanical relaxation.

Publication: 2024 <br>R. Sakamoto & M. Murrell†<br><br>Substrate geometry and topography induce F-actin reorganization and chiral alignment in an adherent model cortex<br>Cell Reports Physical Science<br><br>to appear<br><br>2024 <br>Z. Sun & M. Murrell†<br><br>Cofilin-mediated filament softening and crosslinking counterbalance to<br> enhance network flexibility<br>Physical Review Letters<br><br>10.1103<br><br>2024 <br>R. Sakamoto† & M. Murrell†<br><br>Mechanical power is maximized during contractile ring-like formation in a biomimetic dividing cell model<br><br>Nature Communications<br><br>10.1038/s41467-024-53228-y<br><br>2024 <br>S. Cheng, D. Seara, B. Bement† & M. Murrell†<br><br>Energy Partitioning in the Cell Cortex<br><br>Nature Physics<br>10.1038/s41567-024-02626-6

Presenters

  • Michael P Murrell

    Yale University

Authors

  • Michael P Murrell

    Yale University

  • Sheng Chen

    Yale University, Biomedical Engineering

  • Daniel Seara

    University of Chicago