Cell-substrate mechanics guide collective cell migration through intercellular adhesion: A dynamic finite element cellular model - Sorbonne Université Accéder directement au contenu
Article Dans Une Revue Biomechanics and Modeling in Mechanobiology Année : 2020

Cell-substrate mechanics guide collective cell migration through intercellular adhesion: A dynamic finite element cellular model

Jieling Zhao
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Jie Liang
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  • PersonId : 971767

Résumé

During the process of tissue formation and regeneration, cells migrate collectively while remaining connected through intercellular adhesions. However, the roles of cell-substrate and cell-cell mechanical interactions in regulating collective cell migration are still unclear. In this study, we employ a newly developed finite element cellular model to study collective cell migration by exploring the effects of mechanical feedback between cell and substrate and mechanical signal transmission between adjacent cells. Our viscoelas-tic model of cells consists many triangular elements and is of high-resolution. Cadherin adhesion between cells are modeled explicitly as linear springs at sub-cellular level. In addition, we incorporate a mechano-chemical feedback loop between cell-substrate mechanics and Rac-mediated cell protrusion. Our model can reproduce a number of experimentally observed patterns of collective cell migration during wound healing , including cell migration persistence, separation distance between cell pairs and migration direction. Moreover , we demonstrate that cell protrusion determined by the cell-substrate mechanics plays important role in guiding persistent and oriented collective cell migration. Furthermore, this guidance cue can be maintained and transmitted to submarginal cells of long distance
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Dates et versions

hal-02507470 , version 1 (13-03-2020)

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Jieling Zhao, Farid Manuchehrfar, Jie Liang. Cell-substrate mechanics guide collective cell migration through intercellular adhesion: A dynamic finite element cellular model. Biomechanics and Modeling in Mechanobiology, 2020, ⟨10.1007/s10237-020-01308-5⟩. ⟨hal-02507470⟩
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