Both sides now: modeling motor regulation of microtubule length at both ends.

IF 1.6 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Maria-Veronica Ciocanel, Bhargav R Karamched
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引用次数: 0

Abstract

Microtubules are dynamic biopolymers whose lengths are continuously regulated by the concerted actions of polymerization, depolymerization, and motor-protein activity. While numerous mathematical models have explored the regulation of filament length, most have been formulated in the context of growth and shrinking at a single tip of a microtubule, effectively ignoring the mechanistic description of complex phenomena such as treadmilling. Here, we develop a multiscale model for microtubule length regulation that explicitly couples the kinetics of two classes of kinesin molecular motors to filament dynamics at both microtubule tips. Motor densities along the filament are modeled using one-dimensional parabolic partial differential equations. The microtubule length evolves dynamically through a shrinkage term that depends on motor density and which closes the system. In the adiabatic regime, where motor kinetics are fast relative to length dynamics, we derive a reduced model amenable to analytic study and identify simple parameter relationships distinguishing growth, disassembly, and treadmilling behavior. Numerical simulations of the full system reveal qualitatively distinct dynamical regimes and demonstrate how bidirectional motor transport modulates filament length distributions. We parametrize our model with bothin vivoandin vitrodata and thus lay the foundation for developing mathematical models yielding a better understanding of cytoskeleton dynamics in living cells.

现在两面:模拟两端微管长度的电机调节。
微管是动态的生物聚合物,其长度受聚合、解聚和运动蛋白活性的协同作用不断调节。虽然许多数学模型已经探索了灯丝长度的调节,但大多数都是在微管单个尖端的生长和收缩的背景下制定的,有效地忽略了复杂现象的机械描述,如跑步。在这里,我们开发了一个微管长度调节的多尺度模型,该模型明确地将两类分子马达的动力学与两个微管尖端的细丝动力学耦合在一起。利用一维抛物型偏微分方程建立了沿线材的电机密度模型。微管长度通过收缩项动态演变,收缩项取决于电机密度并关闭系统。在绝热状态下,运动动力学相对于长度动力学是快速的,我们推导了一个简化的模型,适合于分析研究,并确定了区分生长、突变和跑步行为的简单参数关系。整个系统的数值模拟揭示了定性不同的动力学机制,并展示了双向电机传输如何调节灯丝长度分布。我们用体内和体外数据参数化我们的模型,从而为开发数学模型奠定基础,从而更好地理解活细胞中的细胞骨架动力学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physical biology
Physical biology 生物-生物物理
CiteScore
4.20
自引率
0.00%
发文量
50
审稿时长
3 months
期刊介绍: Physical Biology publishes articles in the broad interdisciplinary field bridging biology with the physical sciences and engineering. This journal focuses on research in which quantitative approaches – experimental, theoretical and modeling – lead to new insights into biological systems at all scales of space and time, and all levels of organizational complexity. Physical Biology accepts contributions from a wide range of biological sub-fields, including topics such as: molecular biophysics, including single molecule studies, protein-protein and protein-DNA interactions subcellular structures, organelle dynamics, membranes, protein assemblies, chromosome structure intracellular processes, e.g. cytoskeleton dynamics, cellular transport, cell division systems biology, e.g. signaling, gene regulation and metabolic networks cells and their microenvironment, e.g. cell mechanics and motility, chemotaxis, extracellular matrix, biofilms cell-material interactions, e.g. biointerfaces, electrical stimulation and sensing, endocytosis cell-cell interactions, cell aggregates, organoids, tissues and organs developmental dynamics, including pattern formation and morphogenesis physical and evolutionary aspects of disease, e.g. cancer progression, amyloid formation neuronal systems, including information processing by networks, memory and learning population dynamics, ecology, and evolution collective action and emergence of collective phenomena.
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