Ghanti Dipanwita, Patra Shubhadeep, Chowdhury Debashish
Department of Physics, Indian Institute of Technology Kanpur, 208016, India.
ISERC, Visva-Bharati, Santiniketan 731235, India.
Phys Rev E. 2018 May;97(5-1):052414. doi: 10.1103/PhysRevE.97.052414.
Measurement of the lifetime of attachments formed by a single microtubule (MT) with a single kinetochore (kt) in vitro under force-clamp conditions had earlier revealed a catch-bond-like behavior. In the past, the physical origin of this apparently counterintuitive phenomenon was traced to the nature of the force dependence of the (de)polymerization kinetics of the MTs. Here, first the same model MT-kt attachment is subjected to external tension that increases linearly with time until rupture occurs. In our force-ramp experiments in silico, the model displays the well known "mechanical signatures" of a catch bond probed by molecular force spectroscopy. Exploiting this evidence, we have further strengthened the analogy between MT-kt attachments and common ligand-receptor bonds in spite of the crucial differences in their underlying physical mechanisms. We then extend the formalism to model the stochastic kinetics of an attachment formed by a bundle of multiple parallel microtubules with a single kt considering the effect of rebinding under force-clamp and force-ramp conditions. From numerical studies of the model we predict the trends of variation of the mean lifetime and mean rupture force with the increasing number of MTs in the bundle. Both the mean lifetime and the mean rupture force display nontrivial nonlinear dependence on the maximum number of MTs that can attach simultaneously to the same kt.
早期在力钳条件下对单根微管(MT)与单个动粒(kt)在体外形成的附着寿命进行测量时,发现了一种类似捕键的行为。过去,这种明显违反直觉现象的物理根源可追溯到微管(解)聚合动力学对力的依赖性本质。在此,首先对相同的微管 - 动粒附着模型施加随时间线性增加直至断裂的外部张力。在我们的计算机模拟力斜坡实验中,该模型展现出分子力谱探测到的捕键的众所周知的“机械特征”。利用这一证据,尽管微管 - 动粒附着与常见配体 - 受体键在潜在物理机制上存在关键差异,但我们进一步强化了它们之间的类比。然后,我们扩展形式主义以模拟一束多条平行微管与单个动粒形成的附着的随机动力学,考虑了在力钳和力斜坡条件下重新结合的影响。从该模型的数值研究中,我们预测了随着束中微管数量增加平均寿命和平均断裂力的变化趋势。平均寿命和平均断裂力对可同时附着于同一动粒的微管最大数量均呈现出非平凡的非线性依赖性。