Nonequilibrium dynamics of probe filaments in actin-myosin networks
arXiv:1704.06243 · doi:10.1103/PhysRevE.96.022408
Abstract
Active dynamic processes of cells are largely driven by the cytoskeleton, a complex and adaptable semiflexible polymer network, motorized by mechanoenzymes. Small dimensions, confined geome- tries and hierarchical structures make it challenging to probe dynamics and mechanical response of such networks. Embedded semiflexible probe polymers can serve as non-perturbing multi-scale probes to detect force distributions in active polymer networks. We show here that motor-induced forces transmitted to the probe polymers are reflected in non-equilibrium bending dynamics, which we analyze in terms of spatial eigenmodes of an elastic beam. We demonstrate how these active forces induce correlations among these mode amplitudes, which furthermore break time-reversal symmetry. This leads to a breaking of detailed balance in this mode space. We derive analytical predictions for the magnitude of resulting probability currents in mode space in the white-noise limit of motor activity. We relate the structure of these currents to the spatial profile of motor- induced forces along the probe polymers and provide a general relation for observable currents on two-dimensional hyperplanes.
12 pages, 9 figures
References in corpus (6)
- Non-equilibrium mechanics and dynamics of motor activated gels
- Fiber networks amplify active stress
- Non-equilibrium microtubule fluctuations in a model cytoskeleton
- Broken Detailed Balance of Filament Dynamics in Active Networks
- Modeling the dynamics of a tracer particle in an elastic active gel
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- Inertial effects on the Brownian gyrator
- Non-equilibrium probability flux of a thermally driven micromachine
- Stochastic resetting and first arrival subjected to Gaussian noise and Poisson white noise
- Scaling behavior of non-equilibrium measures in internally driven elastic assemblies
- Non-equilibrium dynamics of isostatic spring networks
- Mesoscopic non-equilibrium measures can reveal intrinsic features of the active driving
- Irreversibility and entropy production of a thermally driven micromachine
- Entropy bound for time reversal markers