Graduate School of Informatics, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan.
Neural Netw. 2011 Nov;24(9):979-89. doi: 10.1016/j.neunet.2011.06.009. Epub 2011 Jun 22.
Cellular motility is a complicated phenomenon that involves multiphysics, including the cytoskeleton, the plasma membrane and intracellular signal transduction. In this study, a hybrid computational model was developed for the simulation of whole-cell migration behaviors. The model integrates sub-models of reaction-diffusion, actin filaments (F-actin) and the plasma membrane. Reaction-diffusion was calculated as if enclosed by a moving membrane. Individual F-actins were reorganized on the basis of stochastic kinetic events, such as polymerization, capping, branching and severing. Membrane dynamics were modeled using an optimization of energy function that depends on cell volume, surface area, smoothness and the elasticity of F-actin against the membrane. Simulations of this model demonstrated self-organization of F-actin networks, as in lamellipodia, and chemotactic migration. Furthermore, this method was extended to address external obstacles to simulate the dynamic cellular morphological changes seen during invasive migration.
细胞运动是一种复杂的现象,涉及多种物理现象,包括细胞骨架、质膜和细胞内信号转导。在这项研究中,开发了一种混合计算模型来模拟整个细胞迁移行为。该模型整合了反应扩散、肌动蛋白丝(F-actin)和质膜的子模型。反应扩散被计算为在移动膜内的情况。单个 F-actin 基于聚合、加帽、分支和切断等随机动力学事件进行重组。使用依赖于细胞体积、表面积、平滑度和 F-actin 对质膜弹性的能量函数优化来模拟膜动力学。该模型的模拟显示了 F-actin 网络的自组织,如在片状伪足中,以及趋化性迁移。此外,该方法被扩展以解决外部障碍物,以模拟在侵袭性迁移过程中观察到的动态细胞形态变化。