Active gel model for one-dimensional cell migration coupling actin flow and adhesion dynamics

Abstract - Migration of animal cells is based on the interplay between actin polymerization at the front, adhesion along the cell-substrate interface, and actomyosin contractility at the back. Active gel theory has been used before to demonstrate that actomyosin contractility is sufficie...

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Hauptverfasser: Wössner, Valentin (VerfasserIn) , Drozdowski, Oliver (VerfasserIn) , Ziebert, Falko (VerfasserIn) , Schwarz, Ulrich S. (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 25 July 2024
In: New journal of physics
Year: 2024, Jahrgang: 26, Heft: 7, Pages: 1-17
ISSN:1367-2630
DOI:10.1088/1367-2630/ad63c5
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1088/1367-2630/ad63c5
Verlag, kostenfrei, Volltext: https://iopscience.iop.org/article/10.1088/1367-2630/ad63c5
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Verfasserangaben:Valentin Wössner, Oliver M Drozdowski, Falko Ziebert and Ulrich S Schwarz

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520 |a Abstract - Migration of animal cells is based on the interplay between actin polymerization at the front, adhesion along the cell-substrate interface, and actomyosin contractility at the back. Active gel theory has been used before to demonstrate that actomyosin contractility is sufficient for polarization and self-sustained cell migration in the absence of external cues, but did not consider the dynamics of adhesion. Likewise, migration models based on the mechanosensitive dynamics of adhesion receptors usually do not include the global dynamics of intracellular flow. Here we show that both aspects can be combined in a minimal active gel model for one-dimensional cell migration with dynamic adhesion. This model demonstrates that load sharing between the adhesion receptors leads to symmetry breaking, with stronger adhesion at the front, and that bistability of migration arises for intermediate adhesiveness. Local variations in adhesiveness are sufficient to switch between sessile and motile states, in qualitative agreement with experiments. 
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