# Active Disassembly and Reassembly of Actin Networks Induces Distinct Biphasic Mechanics

Source: [Active Disassembly and Reassembly of Actin Networks Induces Distinct Biphasic Mechanics](<https://www.sota2.com/research/paper/68fa36921e209131ce8aaf62>)

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Data updated: 2025-10-24T21:54:10.681Z

Authors: Bekele J. Gurmessa, Nicholas Bitten, Dan T. Nguyen, Jennifer L. Ross, Omar A. Sale, Moumita Das, Rae M. Robertson-Anderson

Published: 2017-10-10T18:47:42.000Z

## Abstract

Actin is a key component of the cytoskeleton, which plays central roles in cell motility, division, growth, and tensile strength. To enable this wide range of transient mechanical processes and properties, networks of actin filaments continuously disassemble and reassemble via active de/re-polymerization. However, the question remains as to how de/re-polymerization kinetics of individual actin filaments translate to time-varying mechanics of dis/re-assembling networks. To address this question, to ultimately elucidate the molecular mechanisms that enable cells to exhibit a myriad of transitory mechanical properties, we couple time-resolved active microrheology with microfluidics to measure the time-varying viscoelastic moduli of entangled and crosslinked actin networks during chemically-triggered network disassembly and reassembly. We also develop a corresponding mathematical model that relates the time-evolution of filament length to the resulting time-dependent storage moduli of evolving networks. During disassembly, we find that the moduli exhibit two distinct exponential decays, with experimental time constants of $\\sim$169 and $\\sim$47 min, which we show arises from a phase transition from a rigid percolated network to a non-rigid regime occurring after $\\sim$90 min. During reassembly, measured moduli exhibit linear increase with time for $\\sim$90 min, after which steady-state values are achieved. Our theoretical model shows that reassembly mechanics are dominated by elongation kinetics, and that elongation rates are much slower than has been recently assumed. Our measurements shed much needed light onto how polymerization kinetics map to time-varying mechanics of actively evolving cytoskeleton networks, and provide a powerful platform for studying other active and dynamic systems currently under intense investigation.

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## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1710.03781>)

[PDF](<https://arxiv.org/pdf/1710.03781.pdf>)