4.5 Article

The analytical solution to the migration of an epithelial monolayer with a circular spreading front and its implications in the gap closure process

期刊

BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
卷 22, 期 4, 页码 1349-1363

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s10237-023-01723-4

关键词

Collective motion; Epithelial monolayer; Active polar fluid; Gap closure; Instability

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The research focuses on modeling and analyzing the behavior of an expanding epithelial cell monolayer that forms a circular gap during migration. Based on the model, we assessed the factors affecting the velocity of the spreading front, such as gap size, active intercellular contractility, and purse-string contraction. Moreover, the instability of the spreading front morphology was studied.
The coordinated behaviors of epithelial cells are widely observed in tissue development, such as re-epithelialization, tumor growth, and morphogenesis. In these processes, cells either migrate collectively or organize themselves into specific structures to serve certain purposes. In this work, we study a spreading epithelial monolayer whose migrating front encloses a circular gap in the monolayer center. Such tissue is usually used to mimic the wound healing process in vitro. We model the epithelial sheet as a layer of active viscous polar fluid. With an axisymmetric assumption, the model can be analytically solved under two special conditions, suggesting two possible spreading modes for the epithelial monolayer. Based on these two sets of analytical solutions, we assess the velocity of the spreading front affected by the gap size, the active intercellular contractility, and the purse-string contraction acting on the spreading edge. Several critical values exist in the model parameters for the initiation of the gap closure process, and the purse-string contraction plays a vital role in governing the gap closure kinetics. Finally, the instability of the morphology of the spreading front was studied. Numerical calculations show how the perturbated velocities and the growth rates vary with respect to different model parameters.

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