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一种用于胶质瘤细胞迁移的细胞自动机模型。

A cellular automaton model for the migration of glioma cells.

作者信息

Aubert M, Badoual M, Féreol S, Christov C, Grammaticos B

机构信息

GMPIB, Université Paris VII, case 7021, 75251 Paris, France.

出版信息

Phys Biol. 2006 Apr 13;3(2):93-100. doi: 10.1088/1478-3975/3/2/001.

Abstract

We present a study of in vitro cell migration in two dimensions as a first step towards understanding the mechanisms governing the motility of glioma cells. Our study is based on a cellular automaton model which aims at reproducing the kinetics of a lump of glioma cells deposited on a substrate of collagen. The dynamical effects of cell attraction and motion inertia are introduced through adequate automaton rules. We compare the density profiles given by the model to those obtained experimentally. The result of the best fit indicates a substantial cell-cell attraction due to cell-cell communication through gap junctions (or chemotaxis) and negligible inertia effects during migration. Tracking of individual migrating cells indicates highly convoluted cell trajectories.

摘要

我们展示了一项关于二维体外细胞迁移的研究,作为理解胶质瘤细胞运动机制的第一步。我们的研究基于一个细胞自动机模型,该模型旨在再现沉积在胶原蛋白基质上的一团胶质瘤细胞的动力学。通过适当的自动机规则引入细胞吸引和运动惯性的动态效应。我们将模型给出的密度分布与实验获得的密度分布进行比较。最佳拟合结果表明,由于通过间隙连接的细胞间通讯(或趋化作用),细胞间存在显著的吸引力,并且迁移过程中的惯性效应可忽略不计。对单个迁移细胞的追踪表明细胞轨迹高度曲折。

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