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细胞竞争中优胜劣汰现象出现的数学框架。

A mathematical framework for the emergence of winners and losers in cell competition.

机构信息

Mathematical Institute, University of Oxford, Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK.

Department of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford, OX1 3QD, UK.

出版信息

J Theor Biol. 2024 Jan 21;577:111666. doi: 10.1016/j.jtbi.2023.111666. Epub 2023 Nov 11.

Abstract

Cell competition is a process in multicellular organisms where cells interact with their neighbours to determine a "winner" or "loser" status. The loser cells are eliminated through programmed cell death, leaving only the winner cells to populate the tissue. Cell competition is context-dependent; the same cell type can win or lose depending on the cell type it is competing against. Hence, winner/loser status is an emergent property. A key question in cell competition is: how do cells acquire their winner/loser status? In this paper, we propose a mathematical framework for studying the emergence of winner/loser status based on a set of quantitative criteria that distinguishes competitive from non-competitive outcomes. We apply this framework in a cell-based modelling context, to both highlight the crucial role of active cell death in cell competition and identify the factors that drive cell competition.

摘要

细胞竞争是多细胞生物中的一个过程,其中细胞通过与相邻细胞相互作用来确定“胜者”或“败者”的状态。失败者细胞通过程序性细胞死亡被清除,只留下胜者细胞来填充组织。细胞竞争是依赖于环境的;同一细胞类型可以根据其竞争的细胞类型而获胜或失败。因此,胜负状态是一种涌现的特性。细胞竞争中的一个关键问题是:细胞如何获得其胜负状态?在本文中,我们提出了一个基于一组定量标准的数学框架,用于研究基于一组定量标准的胜负状态的涌现,这些标准可将竞争结果与非竞争结果区分开来。我们将这个框架应用于基于细胞的建模环境中,既突出了活性细胞死亡在细胞竞争中的关键作用,又确定了驱动细胞竞争的因素。

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