论文标题
通过具有偏振有效吸引力的活性颗粒调节的多细胞动力学对多细胞动力学进行建模
Modeling Multi-Cellular Dynamics Regulated by ECM-Mediated Mechanical Communication via Active Particles with Polarized Effective Attraction
论文作者
论文摘要
集体细胞迁移对于许多生理和病理过程至关重要。最近的实验研究表明,纤维外基质(ECM)中迁移细胞产生的活性牵引力可以机械地重塑ECM,从而实现了细胞力的长距离传播,并导致由细胞之间的机械通信调节的相关迁移动力学。由这些实验发现的动机,我们开发了一个具有极化有效景点(APPA)的活动粒子模型,用于建模由ECM介导的机械通信调节的新兴多细胞迁移动力学。与经典的活性布朗颗粒相比,具有极化成对景点的活性颗粒表现出增强的聚集行为,尤其是在较低的颗粒密度和较大的旋转扩散率下。重要的是,与经典的ABP系统相反,APPA系统的高密度阶段表现出强大的动态相关性,其特征是缓慢衰减的速度相关函数,相关长度与高密度相域的线性大小相当(即粒子群)。随后在使用MCF-10A细胞的{\ it体外}实验中验证了由APPA模型预测的密切相关的多细胞动力学。我们的研究还表明,将ECM介导的机械耦合纳入迁移细胞之间的重要性,以在复杂的微环境中适当建模新兴的多细胞动力学。
Collective cell migration is crucial to many physiological and pathological processes. Recent experimental studies have indicated that the active traction forces generated by migrating cells in fibrous extracellular matrix (ECM) can mechanically remodel the ECM, enabling long-range propagation of cellular forces and leading to correlated migration dynamics regulated by the mechanical communication among the cells. Motivated by these experimental discoveries, we develop an active-particle model with polarized effective attractions (APPA) for modeling emergent multi-cellular migration dynamics regulated by ECM-mediated mechanical communications. Active particles with polarized pairwise attractions exhibit enhanced aggregation behaviors compared to classic active Brownian particles, especially at lower particle densities and larger rotational diffusivities. Importantly, in contrast to the classic ABP system, the high-density phase of APPA system exhibits strong dynamic correlation, which is characterized by the slowly decaying velocity correlation functions with a correlation length comparable to the linear size of high-density phase domain (i.e., cluster of the particles). The strongly correlated multi-cellular dynamics predicted by the APPA model are subsequently verified in {\it in vitro} experiments using MCF-10A cells. Our studies also indicate the importance of incorporating ECM-mediated mechanical coupling among the migrating cells for appropriately modeling emergent multi-cellular dynamics in complex micro-environments.