Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Oxford, UK.
Bull Math Biol. 2012 Dec;74(12):2793-809. doi: 10.1007/s11538-012-9779-0. Epub 2012 Oct 19.
Cell-cell adhesion is essential for biological development: cells migrate to their target sites, where cell-cell adhesion enables them to aggregate and form tissues. Here, we extend analysis of the model of cell migration proposed by Anguige and Schmeiser (J. Math. Biol. 58(3):395-427, 2009) that incorporates both cell-cell adhesion and volume filling. The stochastic space-jump model is compared to two deterministic counterparts (a system of stochastic mean equations and a non-linear partial differential equation), and it is shown that the results of the deterministic systems are, in general, qualitatively similar to the mean behaviour of multiple stochastic simulations. However, individual stochastic simulations can give rise to behaviour that varies significantly from that of the mean. In particular, individual simulations might admit cell clustering when the mean behaviour does not. We also investigate the potential of this model to display behaviour predicted by the differential adhesion hypothesis by incorporating a second cell species, and present a novel approach for implementing models of cell migration on a growing domain.
细胞迁移到目标位置,在那里细胞间的黏附使它们能够聚集并形成组织。在这里,我们扩展了 Anguige 和 Schmeiser(J. Math. Biol. 58(3):395-427, 2009)提出的细胞迁移模型的分析,该模型结合了细胞间的黏附和体积填充。随机空间跳跃模型与两个确定性对应模型(随机平均方程系统和非线性偏微分方程)进行了比较,结果表明,一般来说,确定性系统的结果与多个随机模拟的平均行为定性相似。然而,单个随机模拟可能会产生与平均行为显著不同的行为。特别是,当平均行为不存在时,单个模拟可能会允许细胞聚类。我们还通过纳入第二种细胞类型来研究该模型显示微分黏附假说预测行为的潜力,并提出了一种在增长域上实现细胞迁移模型的新方法。