Agent-based approach for elucidating the release from collective arrest of cell motion in corneal epithelial cell sheet

J Biosci Bioeng. 2023 Dec;136(6):477-486. doi: 10.1016/j.jbiosc.2023.10.003. Epub 2023 Nov 2.

Abstract

Changes in cell fluidity have been observed in various cellular tissues and are strongly linked to biological phenomena such as self-organization. Recent studies suggested variety of mechanisms and factors, which are still being investigated. This study aimed to investigate changes in cell fluidity in multi-layered cell sheets, by exploring the collective arrest of cell motion and its release in cultures of corneal epithelial cells. We constructed mathematical models to simulate the behaviors of individual cells, including cell differentiation and time-dependent changes in cell-cell connections, which are defined by stochastic or kinetic rules. Changes in cell fluidity and cell sheet structures were expressed by simulating autonomous cell behaviors and interactions in tissues using an agent-based model. A single-cell level spatiotemporal analysis of cell state transition between migratable and non-migratable states revealed that the release from collective arrest of cell motion was initially triggered by a decreased ability to form cell-cell connections in the suprabasal layers, and was propagated by chain migration. Notably, the disruption of cell-cell connections and stratification occurred in the region of migratable state cells. Hence, a modeling approach that considers time-dependent changes in cell properties and behavior, and spatiotemporal analysis at the single-cell level can effectively delineate emergent phenomena arising from the complex interplay of cells.

Keywords: Agent-based model; Cell fluidity; Chain migration; Collective arrest of cell motion; Corneal epithelial cell sheet; Spatiotemporal analysis.

MeSH terms

  • Cell Movement
  • Epithelial Cells*
  • Models, Biological*