A reduced 1D stochastic model of bleb-driven cell migration
A reduced 1D stochastic model of bleb-driven cell migration
复制标题
气泡驱动细胞迁移的简化一维随机模型
DOI：
10.1016/j.bpj.2022.04.016
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发表时间：
2022
影响因子：
3.4
通讯作者：
Mori, Yoichiro
中科院分区：
文献类型：
--
作者：
Muñoz-López, María Jesús;Kim, Hyunjoong;Mori, Yoichiro
气泡是压力驱动的突起，在经历细胞凋亡、胞质分裂或迁移的细胞中观察到，包括使用气泡逃离其起源器官的肿瘤细胞。在这里，我们提出了一个由滤泡驱动的细胞运动的最小一维模型，该模型结合了一个简单的力学模型和肌动蛋白皮质的周转动力学以及膜和皮质之间的粘连。这个模型的确定性版本被用来研究单个气泡事件的性质。我们进一步引入了粘连的随机周转，这允许自发地启动重复的起泡事件，从而导致持续的细胞旅行。我们探索了系统的主要参数如何控制气泡事件的性质和细胞的传播速度。最后，我们通过导出该随机模型的朗之万式近似，得到了进一步的简化。
Blebs are pressure-driven protrusions that have been observed in cells undergoing apoptosis, cytokinesis, or migration, including tumor cells that use blebs to escape their organs of origin. Here, we present a minimal 1D model of bleb-driven cell motion that combines a simple mechanical model with turnover kinetics of the actin cortex and adhesions between the membrane and the cortex. The deterministic version of this model is used to study the properties of individual blebbing events. We further introduce stochastic turnover of the adhesions, which allows for spontaneous initiation of repeated blebbing events, thus leading to sustained cell travel. We explore how the main parameters of the system control the properties of the blebbing events and the speed of cell travel. Finally, we derive a further simplification by deriving a Langevin approximation to this stochastic model.