Department of Physics, Korea University, Seoul, Korea.
PLoS Comput Biol. 2021 Sep 23;17(9):e1009447. doi: 10.1371/journal.pcbi.1009447. eCollection 2021 Sep.
The dispersal or mixing of cells within cellular tissue is a crucial property for diverse biological processes, ranging from morphogenesis, immune action, to tumor metastasis. With the phenomenon of 'contact inhibition of locomotion,' it is puzzling how cells achieve such processes within a densely packed cohesive population. Here we demonstrate that a proper degree of cell-cell adhesiveness can, intriguingly, enhance the super-diffusive nature of individual cells. We systematically characterize the migration trajectories of crawling MDA-MB-231 cell lines, while they are in several different clustering modes, including freely crawling singles, cohesive doublets of two cells, quadruplets, and confluent population on two-dimensional substrate. Following data analysis and computer simulation of a simple cellular Potts model, which faithfully recapitulated all key experimental observations such as enhanced diffusivity as well as periodic rotation of cell-doublets and cell-quadruplets with mixing events, we found that proper combination of active self-propelling force and cell-cell adhesion is sufficient for generating the observed phenomena. Additionally, we found that tuning parameters for these two factors covers a variety of different collective dynamic states.
细胞在细胞组织内的分散或混合是多种生物过程的关键特性,这些过程包括形态发生、免疫作用、肿瘤转移等。“接触抑制运动”现象令人费解的是,细胞如何在密集的凝聚群体中实现这些过程。在这里,我们证明了适当程度的细胞-细胞黏附性可以增强单个细胞的超级扩散性质。我们系统地描述了 MDA-MB-231 细胞系在几种不同的聚集模式下的迁移轨迹,包括自由爬行的单个细胞、两个细胞的凝聚二联体、四联体以及二维基底上的融合群体。对简单细胞 Potts 模型进行数据分析和计算机模拟后,该模型忠实地再现了所有关键的实验观察结果,例如增强的扩散性以及具有混合事件的细胞二联体和四联体的周期性旋转,我们发现适当结合主动自推进力和细胞-细胞黏附性足以产生观察到的现象。此外,我们发现调整这两个因素的参数可以涵盖多种不同的集体动态状态。