4.7 Article

Measurements and characterization of the dynamics of tracer particles in an actin network

Journal

JOURNAL OF CHEMICAL PHYSICS
Volume 154, Issue 14, Pages -

Publisher

AMER INST PHYSICS
DOI: 10.1063/5.0045278

Keywords

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Funding

  1. Center for Light Matter Interaction in Tel-Aviv University
  2. US-Israel Binational Science Foundation [2014314]
  3. ISF (Israel Science Foundation) [988/17]

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The diffusion of a tracer particle in a viscoelastic material can be influenced by the ratio of tracer particle size to the characteristic length scale of the network. The type of diffusion performed by the tracer particles varies based on this ratio, showing features of fBm when the particle is large compared to the mesh size, normal diffusion when much smaller, and CTRW in between. A new model combining fBm and power-law distributed caging events has been proposed to describe the motion of tracer particles in actin networks.
The underlying physics governing the diffusion of a tracer particle in a viscoelastic material is a topic of some dispute. The long-term memory in the mechanical response of such materials should induce diffusive motion with a memory kernel, such as fractional Brownian motion (fBM). This is the reason that microrheology is able to provide the shear modulus of polymer networks. Surprisingly, the diffusion of a tracer particle in a network of a purified protein, actin, was found to conform to the continuous time random walk type (CTRW). We set out to resolve this discrepancy by studying the tracer particle diffusion using two different tracer particle sizes, in actin networks of different mesh sizes. We find that the ratio of tracer particle size to the characteristic length scale of a bio-polymer network plays a crucial role in determining the type of diffusion it performs. We find that the diffusion of the tracer particles has features of fBm when the particle is large compared to the mesh size, of normal diffusion when the particle is much smaller than the mesh size, and of the CTRW in between these two limits. Based on our findings, we propose and verify numerically a new model for the motion of the tracer in all regimes. Our model suggests that diffusion in actin networks consists of fBm of the tracer particle coupled with caging events with power-law distributed escape times.

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