Binding Dynamics of α-Actinin-4 in Dependence of Actin Cortex Tension.


Journal

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

Informations de publication

Date de publication:
15 09 2020
Historique:
received: 12 05 2020
revised: 09 07 2020
accepted: 16 07 2020
pubmed: 28 8 2020
medline: 15 5 2021
entrez: 28 8 2020
Statut: ppublish

Résumé

Mechanosensation of cells is an important prerequisite for cellular function, e.g., in the context of cell migration, tissue organization, and morphogenesis. An important mechanochemical transducer is the actin cytoskeleton. In fact, previous studies have shown that actin cross-linkers such as α-actinin-4 exhibit mechanosensitive properties in their binding dynamics to actin polymers. However, to date, a quantitative analysis of tension-dependent binding dynamics in live cells is lacking. Here, we present a, to our knowledge, new technique that allows us to quantitatively characterize the dependence of cross-linking lifetime of actin cross-linkers on mechanical tension in the actin cortex of live cells. We use an approach that combines parallel plate confinement of round cells, fluorescence recovery after photobleaching, and a mathematical mean-field model of cross-linker binding. We apply our approach to the actin cross-linker α-actinin-4 and show that the cross-linking time of α-actinin-4 homodimers increases approximately twofold within the cellular range of cortical mechanical tension, rendering α-actinin-4 a catch bond in physiological tension ranges.

Identifiants

pubmed: 32853564
pii: S0006-3495(20)30595-6
doi: 10.1016/j.bpj.2020.07.031
pmc: PMC7499067
pii:
doi:

Substances chimiques

Actins 0
Actinin 11003-00-2

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1091-1107

Informations de copyright

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

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Auteurs

Kamran Hosseini (K)

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

Leon Sbosny (L)

Biotechnology Center, Technische Universität Dresden, Dresden, Germany.

Ina Poser (I)

Max-Planck-Institut für Zellbiologie und Genetik, Dresden, Germany.

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