Torisawa Takayuki, Taniguchi Daisuke, Ishihara Shuji, Oiwa Kazuhiro
National Institute of Information and Communications Technology, Advanced ICT Research Institute, Kobe, Hyogo, Japan.
Department of Physics, Meiji University, Kawasaki, Kanagawa, Japan.
Biophys J. 2016 Jul 26;111(2):373-385. doi: 10.1016/j.bpj.2016.06.010.
Microtubule (MT) networks play key roles in cell division, intracellular transport, and cell motility. These functions of MT networks occur through interactions between MTs and various associated proteins, notably motor proteins that bundle and slide MTs. Our objective in this study was to address the question of how motors determine the nature of MT networks. We conducted in vitro assays using homotetrameric kinesin Eg5, a motor protein involved in the formation and maintenance of the mitotic spindle. The mixing of Eg5 and MTs produced a range of spatiotemporal dynamics depending on the motor/filament ratio. Low motor/filament ratios produced globally connected static MT networks with sparsely distributed contractile active nodes (motor-accumulating points with radially extending MTs). Increasing the motor/filament ratio facilitated the linking of contractile active nodes and led to a global contraction of the network. When the motor/filament ratio was further increased, densely distributed active nodes formed local clusters and segmented the network into pieces with their strong contractile forces. Altering the properties of the motor through the use of chimeric Eg5, which has kinesin-1 heads, resulted in the generation of many isolated asters. These results suggest that the spatial distribution of contractile active nodes determines the dynamics of MT-motor networks. We then developed a coarse-grained model of MT-motor networks and identified two essential features for reproducing the experimentally observed patterns: an accumulation of motors that form the active nodes necessary to generate contractile forces, and a nonlinear dependency of contractile force on motor densities. Our model also enabled us to characterize the mechanical properties of the contractile network. Our study provides insight into how local motor-MT interactions generate the spatiotemporal dynamics of macroscopic network structures.
微管(MT)网络在细胞分裂、细胞内运输和细胞运动中发挥着关键作用。MT网络的这些功能通过MT与各种相关蛋白之间的相互作用而发生,特别是那些能使MT成束并使其滑动的驱动蛋白。我们在本研究中的目标是解决驱动蛋白如何决定MT网络性质的问题。我们使用同四聚体驱动蛋白Eg5进行了体外实验,Eg5是一种参与有丝分裂纺锤体形成和维持的驱动蛋白。根据驱动蛋白与细丝的比例,Eg5和MT的混合产生了一系列时空动态变化。低驱动蛋白/细丝比例产生了全局连接的静态MT网络,其中收缩性活性节点(具有径向延伸MT的驱动蛋白聚集点)分布稀疏。增加驱动蛋白/细丝比例促进了收缩性活性节点的连接,并导致网络全局收缩。当驱动蛋白/细丝比例进一步增加时,密集分布的活性节点形成局部簇,并以其强大的收缩力将网络分割成片段。通过使用具有驱动蛋白-1头部的嵌合Eg5改变驱动蛋白的性质,导致产生了许多孤立的星状体。这些结果表明,收缩性活性节点的空间分布决定了MT-驱动蛋白网络的动态变化。然后,我们开发了一个MT-驱动蛋白网络的粗粒度模型,并确定了重现实验观察模式的两个基本特征:形成产生收缩力所需活性节点的驱动蛋白积累,以及收缩力对驱动蛋白密度的非线性依赖性。我们的模型还使我们能够表征收缩网络的力学性质。我们的研究深入了解了局部驱动蛋白-MT相互作用如何产生宏观网络结构的时空动态变化。