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Simulation of the Sorting of Two Types of Cells in a Cell Spheroid with Account for the Movement of the Boundaries of Regions Occupied by Cells of Different Types

机译:Simulation of the Sorting of Two Types of Cells in a Cell Spheroid with Account for the Movement of the Boundaries of Regions Occupied by Cells of Different Types

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摘要

The cultivation of cell aggregates obtained by mixing cells of different types, in particular embryonic ones, leads to their sorting, i.e., the formation of cell structures that are characterized by the spatial separation of large groups of cells of different types, separated from each other by well observed boundaries. Typical are cell structures in which a compact mass of cells of one type is surrounded by cells of another type. In the present study, the problem of redistribution of the densities of two types of cells that form a cell spheroid is formulated and investigated. The problem formulation uses the previously proposed continuum model of a biological continuum [Logvenkov S.A. and Stein A.A. Fluid Dynamics57(3), 221-233 (2022)] formed by two actively interacting cell phases and a fluid. Problems are solved that use two types of boundary conditions taking into account the possible movement of the outer boundaries of areas occupied by cells of different types: in one case, both boundaries are considered to coincide, and in the other, the possibility of their independent movement is allowed. The influence of local and nonlocal laws of development of active intercellular interactions on the sorting process is studied. The properties of the solutions are analyzed for both problem formulations. It is shown that solutions of the problem with two independently moving boundaries describe more adequately the phenomenon of sorting, when cells with stronger contracting active interactions tend to occupy the central region, displacing cells with weaker contracting interactions. Solutions of the problem with two boundaries are more stable relative to perturbations of the initial conditions. For describing this process, both nonlocal and local models can be used.

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