动力蛋白驱动的微管自组织：基于熵和网络的分析
Dynein-driven self-organization of microtubules: An entropy- and network-based analysis
AI总结：
本研究针对微管网络空间有序性与鲁棒性的机制问题，通过分析动力蛋白驱动的径向微管自组织简化模型，发现稳态空间序与微管运动性相关、网络结构与初始连通性有关，并揭示了保障结构稳定性的自组织滞后现象。
摘要：
微管通过自组织构成细胞骨架的一部分，赋予细胞形态，并在细胞分裂与胞内运输中发挥关键作用。值得注意的是，在连续的细胞分裂周期中，由马达蛋白驱动的微管会以极高的时空精度重组为稳定的有丝分裂/减数分裂纺锤体。尽管该领域已被广泛研究，但仍存在一个核心问题：是什么决定了这类微管网络的空间有序性与鲁棒性？本文中，我们通过分析由单一类型马达蛋白——dynein（动力蛋白）驱动的径向微管自组织简化计算模型来探究这一问题。研究证实，稳态模式的空间有序性很可能与动力蛋白驱动的微管运动性相关；同时，微管网络的结构很可能与其自组织初始阶段的连通性有关。通过连续改变动力蛋白浓度，我们揭示了微管自组织中的滞后现象，该现象保障了径向丝结构的稳定性。
英文摘要：
Microtubules self-organize to form part of the cellular cytoskeleton. They give cells their shape and play a crucial role in cell division and intracellular transport. Strikingly, microtubules driven by motor proteins reorganize into stable mitotic/meiotic spindles with high spatial and temporal precision during successive cell division cycles. Although the topic has been extensively studied, the question remains: What defines such microtubule networks' spatial order and robustness? Here, we aim to approach this problem by analyzing a simplified computational model of radial microtubule self-organization driven by a single type of motor protein -- dyneins. We establish that the spatial order of the steady-state pattern is likely associated with the dynein-driven microtubule motility. At the same time, the structure of the microtubule network is likely linked to its connectivity at the beginning of self-organization. Using the continuous variation of dynein concentration, we reveal hysteresis in microtubule self-organization, ensuring the stability of radial filament structures.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
