Application of the fluctuation theorem for noninvasive force measurement in living neuronal axons

Author:

Hayashi Kumiko1,Tsuchizawa Yuta23,Iwaki Mitsuhiro4,Okada Yasushi25

Affiliation:

1. Department of Applied Physics, Graduate School of Engineering, Tohoku University, Sendai 980-8579, Japan

2. Laboratory for Cell Polarity Regulation, RIKEN, Osaka 565-0874, Japan

3. Graduate School of Frontier Biosciences, Osaka University, Osaka 565-0871, Japan

4. Laboratory for Cell Dynamics Observation, Center for Biosystems Dynamics Research, RIKEN, Osaka 565-0874, Japan

5. Department of Physics, Universal Biology Institute, and International Research Center for Neurointelligence, University of Tokyo, Tokyo 113-0033, Japan

Abstract

Although its importance is recently widely accepted, force measurement has been difficult in living biological systems, mainly due to the lack of the versatile noninvasive force measurement methods. The fluctuation theorem, which represents the thermodynamic properties of small fluctuating nonequilibrium systems, has been applied to the analysis of the thermodynamic properties of motor proteins in vitro. Here we extend it to the axonal transport (displacement) of endosomes. The distribution of the displacement fluctuation had three or four distinct peaks around multiples of a unit value, which the fluctuation theorem can convert into the drag force exerted on the endosomes. The results demonstrated that a single cargo vesicle is conveyed by one to three or four units of force production.

Publisher

American Society for Cell Biology (ASCB)

Subject

Cell Biology,Molecular Biology

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3