细胞分离和逻辑生长的两种模型中的相变

Luís Almeida, Kevin Atsou, M. Marulli, D. Peurichard, R. Tesson
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引用次数: 0

摘要

我们研究了由两种细胞类型组成的群体中的细胞分离模型。从[3]中最初提出的模型开始,我们的目标是了解细胞分裂过程对系统分离能力的影响。原始模型描述了一群球形细胞通过斥力与邻近细胞相互作用,这些细胞的中心服从布朗运动。这里,我们在基于智能体的模型中加入了一个随机的出生-死亡过程,它接近连续体极限中的逻辑增长项。我们解决了宏观模型的空间均匀稳态的线性稳定性,并获得了相变的精确判据,该判据将系统分离能力与模型参数联系起来。通过与无logistic生长条件下的判据的比较,我们发现系统的分离能力是logistic生长、扩散和机械斥力相互作用的复杂相互作用的结果。数值模拟说明了在微观尺度上得到的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phase transitions in a two-species model for cell segregation and logistic growth
We study a model of cell segregation in a population composed of two cell types. Starting from a model initially proposed in [3], we aim to understand the impact of a cell division process on the system’s segregation abilities. The original model describes a population of spherical cells interacting with their close neighbors by means of a repulsion potential and which centers are subject to Brownian motion. Here, we add a stochastic birth-death process in the agent-based model, that approaches a logistic growth term in the continuum limit. We address the linear stability of the spatially homogeneous steady states of the macroscopic model and obtain a precise criterion for the phase transition, which links the system segregation ability to the model parameters. By comparing the criterion with the one obtained without logistic growth, we show that the system’s segregation ability is the result of a complex interplay between logistic growth, diffusion and mechanical repulsive interactions. Numerical simulations are presented to illustrate the results obtained at the microscopic scale.
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