Scanlon Hannah G, Mahata Gibarni, Nelson Anna C, McKinley Scott A, Rolls Melissa M, Ciocanel Maria-Veronica
Department of Mathematics, Duke University, Durham, NC, 27710, USA.
Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, 16802, USA.
ArXiv. 2025 Aug 28:arXiv:2506.12209v2.
The microtubule cytoskeleton is comprised of dynamic, polarized filaments that facilitate transport within the cell. Polarized microtubule arrays are key to facilitating cargo transport in long cells such as neurons. Microtubules also undergo dynamic instability, where the plus and minus ends of the filaments switch between growth and shrinking phases, leading to frequent microtubule turnover. Although microtubules often completely disassemble and new filaments nucleate, microtubule arrays have been observed to both maintain their biased orientation throughout the cell lifetime and to rearrange their polarity as an adaptive response to injury. Motivated by cytoskeleton organization in neurites, we propose a spatially-explicit stochastic model of microtubule arrays and investigate how nucleation of new filaments could generate biased polarity in a simple linear domain. Using a continuous-time Markov chain model of microtubule growth dynamics, we model and parameterize two experimentally-validated nucleation mechanisms: nucleation feedback, where the direction of filament growth depends on existing microtubule content, and a checkpoint mechanism, where microtubules that nucleate in a direction opposite to the majority experience frequent catastrophe. When incorporating these validated mechanisms into the spatial model, we find that nucleation feedback is sufficient to establish biased polarity in neurites of different lengths, and that the emergence and maintenance of biased polarity is relatively stable in spite of stochastic fluctuations. This work provides a framework to study the relationship between microtubule nucleation and polarity, and could extend to give insights into mechanisms that drive the formation of polarized filament arrays in other biological settings.
微管细胞骨架由动态的、极化的细丝组成,这些细丝促进细胞内的运输。极化的微管阵列是促进货物在长细胞(如神经元)中运输的关键。微管还会经历动态不稳定性,细丝的正端和负端在生长和收缩阶段之间切换,导致微管频繁更新。尽管微管常常完全解体且新的细丝会成核,但已观察到微管阵列在整个细胞寿命期间都能保持其偏向的方向,并能重新排列其极性,作为对损伤的适应性反应。受神经突中细胞骨架组织的启发,我们提出了一个微管阵列的空间显式随机模型,并研究新细丝的成核如何能在一个简单的线性区域中产生偏向的极性。使用微管生长动力学的连续时间马尔可夫链模型,我们对两种经过实验验证的成核机制进行建模和参数化:成核反馈,细丝的生长方向取决于现有的微管含量;以及一种检查点机制,在与大多数方向相反的方向上成核的微管会频繁发生灾变。当将这些经过验证的机制纳入空间模型时,我们发现成核反馈足以在不同长度的神经突中建立偏向的极性,并且尽管存在随机波动,偏向极性的出现和维持相对稳定。这项工作提供了一个研究微管成核与极性之间关系的框架,并可能扩展以深入了解在其他生物环境中驱动极化细丝阵列形成的机制。