Neumann Sylvia, Chassefeyre Romain, Campbell George E, Encalada Sandra E
Department of Molecular and Experimental Medicine, Department of Molecular and Cellular Neuroscience, Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, California.
Traffic. 2017 Jan;18(1):71-88. doi: 10.1111/tra.12456. Epub 2016 Dec 11.
In axons, proper localization of proteins, vesicles, organelles, and other cargoes is accomplished by the highly regulated coordination of kinesins and dyneins, molecular motors that bind to cargoes and translocate them along microtubule (MT) tracks. Impairment of axonal transport is implicated in the pathogenesis of multiple neurodegenerative disorders including Alzheimer's and Huntington's diseases. To understand how MT-based cargo motility is regulated and to delineate its role in neurodegeneration, it is critical to analyze the detailed dynamics of moving cargoes inside axons. Here, we present KymoAnalyzer, a software tool that facilitates the robust analysis of axonal transport from time-lapse live-imaging sequences. KymoAnalyzer is an open-source software that automatically classifies particle trajectories and systematically calculates velocities, run lengths, pauses, and a wealth of other parameters that are characteristic of motor-based transport. We anticipate that laboratories will easily use this package to unveil previously uncovered intracellular transport details of individually-moving cargoes inside neurons.
在轴突中,蛋白质、囊泡、细胞器及其他货物的正确定位是通过驱动蛋白和动力蛋白高度协调实现的,这些分子马达与货物结合并沿微管(MT)轨道运输它们。轴突运输受损与包括阿尔茨海默病和亨廷顿病在内的多种神经退行性疾病的发病机制有关。为了解基于微管的货物运动是如何被调控的以及阐明其在神经退行性变中的作用,分析轴突内移动货物的详细动态至关重要。在此,我们介绍KymoAnalyzer,这是一种软件工具,可促进对延时实时成像序列中的轴突运输进行可靠分析。KymoAnalyzer是一款开源软件,它能自动对粒子轨迹进行分类,并系统地计算速度、运行长度、停顿以及大量其他基于马达运输特征的参数。我们预计各实验室将能够轻松使用此软件包来揭示神经元内单个移动货物此前未被发现的细胞内运输细节。