The Poisson Ratio of the Cellular Actin Cortex Is Frequency Dependent.


Journal

Biophysical journal
ISSN: 1542-0086
Titre abrégé: Biophys J
Pays: United States
ID NLM: 0370626

Informations de publication

Date de publication:
21 04 2020
Historique:
received: 11 12 2019
revised: 06 02 2020
accepted: 02 03 2020
pubmed: 26 3 2020
medline: 15 5 2021
entrez: 26 3 2020
Statut: ppublish

Résumé

Cell shape changes are vital for many physiological processes such as cell proliferation, cell migration, and morphogenesis. They emerge from an orchestrated interplay of active cellular force generation and passive cellular force response, both crucially influenced by the actin cytoskeleton. To model cellular force response and deformation, cell mechanical models commonly describe the actin cytoskeleton as a contractile isotropic incompressible material. However, in particular at slow frequencies, there is no compelling reason to assume incompressibility because the water content of the cytoskeleton may change. Here, we challenge the assumption of incompressibility by comparing computer simulations of an isotropic actin cortex with tunable Poisson ratio to measured cellular force response. Comparing simulation results and experimental data, we determine the Poisson ratio of the cortex in a frequency-dependent manner. We find that the Poisson ratio of the cortex decreases in the measured frequency regime analogous to trends reported for the Poisson ratio of glassy materials. Our results therefore indicate that actin cortex compression or dilation is possible in response to acting forces at sufficiently fast timescales. This finding has important implications for the parameterization in active gel theories that describe actin cytoskeletal dynamics.

Identifiants

pubmed: 32208141
pii: S0006-3495(20)30229-0
doi: 10.1016/j.bpj.2020.03.002
pmc: PMC7175418
pii:
doi:

Substances chimiques

Actins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1968-1976

Informations de copyright

Copyright © 2020 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Auteurs

Marcel Mokbel (M)

Faculty of Informatics/Mathematics, Hochschule für Technik und Wirtschaft, Dresden, Germany.

Kamran Hosseini (K)

Cluster of Excellence Physics of Life, Technische Universität Dresden, Dresden, Germany; Biotechnology Center, Technische Universität Dresden, Dresden, Germany.

Sebastian Aland (S)

Faculty of Informatics/Mathematics, Hochschule für Technik und Wirtschaft, Dresden, Germany. Electronic address: sebastian.aland@htw-dresden.de.

Elisabeth Fischer-Friedrich (E)

Cluster of Excellence Physics of Life, Technische Universität Dresden, Dresden, Germany; Biotechnology Center, Technische Universität Dresden, Dresden, Germany. Electronic address: elisabeth.fischer-friedrich@tu-dresden.de.

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Classifications MeSH