Institute of Biomechanics and Medical Engineering, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China.
School of Engineering, Cardiff University, Cardiff CF24 3AA, United Kingdom.
Proc Natl Acad Sci U S A. 2023 Sep 5;120(36):e2306512120. doi: 10.1073/pnas.2306512120. Epub 2023 Aug 28.
Cells migrate by adapting their leading-edge behaviors to heterogeneous extracellular microenvironments (ECMs) during cancer invasions and immune responses. Yet it remains poorly understood how such complicated dynamic behaviors emerge from millisecond-scale assembling activities of protein molecules, which are hard to probe experimentally. To address this gap, we establish a spatiotemporal "resistance-adaptive propulsion" theory based on the interactions between Arp2/3 complexes and polymerizing actin filaments and a multiscale dynamic modeling system spanning from molecular proteins to the cell. We quantitatively find that cells can accurately self-adapt propulsive forces to overcome heterogeneous ECMs via a resistance-triggered positive feedback mechanism, dominated by polymerization-induced actin filament bending and the bending-regulated actin-Arp2/3 binding. However, for high resistance regions, resistance triggers a negative feedback, hindering branched filament assembly, which adapts cellular morphologies to circumnavigate the obstacles. Strikingly, the synergy of the two opposite feedbacks not only empowers the cell with both powerful and flexible migratory capabilities to deal with complex ECMs but also enables efficient utilization of intracellular proteins by the cell. In addition, we identify that the nature of cell migration velocity depending on ECM history stems from the inherent temporal hysteresis of cytoskeleton remodeling. We also show that directional cell migration is dictated by the competition between the local stiffness of ECMs and the local polymerizing rate of actin network caused by chemotactic cues. Our results reveal that it is the polymerization force-regulated actin filament-Arp2/3 complex binding interaction that dominates self-adaptive cell migrations in complex ECMs, and we provide a predictive theory and a spatiotemporal multiscale modeling system at the protein level.
细胞在癌症侵袭和免疫反应过程中通过调整其前沿行为来适应异质细胞外基质 (ECM)。然而,目前仍不清楚这种复杂的动态行为是如何从毫秒级的蛋白质分子组装活动中产生的,因为这些活动很难通过实验来探测。为了解决这一差距,我们基于 Arp2/3 复合物和聚合肌动蛋白丝之间的相互作用以及跨越分子蛋白到细胞的多尺度动态建模系统,建立了一个时空“阻力自适应推进”理论。我们定量地发现,细胞可以通过一个由聚合诱导的肌动蛋白丝弯曲和弯曲调节的肌动蛋白-Arp2/3 结合主导的阻力触发正反馈机制,精确地自适应推进力来克服异质 ECM。然而,对于高阻力区域,阻力会触发负反馈,阻碍分支丝的组装,从而使细胞形态适应以绕过障碍物。引人注目的是,这两种相反反馈的协同作用不仅赋予细胞强大而灵活的迁移能力来应对复杂的 ECM,还使细胞能够有效地利用细胞内的蛋白质。此外,我们发现细胞迁移速度取决于 ECM 历史的性质源于细胞骨架重塑的固有时间滞后。我们还表明,定向细胞迁移是由 ECM 的局部刚度和趋化信号引起的局部聚合肌动蛋白网络的聚合速度之间的竞争决定的。我们的研究结果表明,在复杂的 ECM 中,是聚合力调节的肌动蛋白丝-Arp2/3 复合物结合相互作用主导着自适应细胞迁移,我们提供了一个蛋白质水平的预测理论和时空多尺度建模系统。