Berger Florian, Klumpp Stefan, Lipowsky Reinhard
Laboratory of Sensory Neuroscience , The Rockefeller University , New York , New York 10065 , United States.
Institute for the Dynamics of Complex Systems , Georg-August University Göttingen , 37077 Göttingen , Germany.
Nano Lett. 2019 Apr 10;19(4):2598-2602. doi: 10.1021/acs.nanolett.9b00417. Epub 2019 Mar 13.
Molecular motors walk along filaments until they detach stochastically with a force-dependent unbinding rate. Here, we show how this unbinding rate can be obtained from the analysis of experimental data of molecular motors moving in stationary optical traps. Two complementary methods are presented, based on the analysis of the distribution for the unbinding forces and of the motor's force traces. In the first method, analytically derived force distributions for slip bonds, slip-ideal bonds, and catch bonds are used to fit the cumulative distributions of the unbinding forces. The second method is based on the statistical analysis of the observed force traces. We validate both methods with stochastic simulations and apply them to experimental data for kinesin-1.
分子马达沿着细丝行走,直到它们以与力相关的解离速率随机脱离。在这里,我们展示了如何通过分析分子马达在固定光学阱中移动的实验数据来获得这种解离速率。基于对解离力分布和马达力迹线的分析,提出了两种互补的方法。在第一种方法中,使用解析推导的滑动键、滑动理想键和捕获键的力分布来拟合解离力的累积分布。第二种方法基于对观察到的力迹线的统计分析。我们用随机模拟验证了这两种方法,并将它们应用于驱动蛋白-1的实验数据。