CiliaQ: a simple, open-source software for automated quantification of ciliary morphology and fluorescence in 2D, 3D, and 4D images.

CiliaQ: a simple, open-source software for automated quantification of ciliary morphology and fluorescence in 2D, 3D, and 4D images.
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DOI:
10.1140/epje/s10189-021-00031-y
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发表时间:
2021-03-08
期刊:
The European physical journal. E, Soft matter
影响因子:
--
通讯作者:
Wachten D
Wachten D
中科院分区:
其他
文献类型:
--
作者:
Hansen JN;Rassmann S;Stüven B;Jurisch-Yaksi N;Wachten D

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纤毛是从大多数脊椎动物细胞表面发出的毛状膜突起,分为运动性纤毛和初级纤毛。活动的纤毛移动液体流动或推动细胞,同时也完成感觉功能。初级纤毛是不动的,起着细胞天线的作用,将环境线索转化为细胞反应。纤毛功能障碍会导致严重的疾病,通常被称为纤毛疾病。然而,纤毛疾病和睫毛功能的分子细节还不是很清楚。由于纤毛是小的亚细胞室,基于成像的方法已经被用来研究它们。然而,缺乏全面分析图像的工具。自动分析方法需要商业软件,仅限于二维分析和少数几个参数。广泛使用的手动分析方法费时、偏重用户,而且很难比较。在这里,我们介绍CiliaQ,这是一个开源的、免费提供的、易于使用的ImageJ插件包。CiliaQ可以高通量分析细胞培养或组织中纤毛荧光显微镜的2D和3D、静态或延时图像,并输出纤毛形态、长度、弯曲、取向和荧光强度的全面参数列表,使其具有广泛的适用性。我们设想CiliaQ将成为一个资源和平台,用于对健康和疾病中的睫毛功能进行可重复和全面的分析。
Cilia are hair-like membrane protrusions that emanate from the surface of most vertebrate cells and are classified into motile and primary cilia. Motile cilia move fluid flow or propel cells, while also fulfill sensory functions. Primary cilia are immotile and act as a cellular antenna, translating environmental cues into cellular responses. Ciliary dysfunction leads to severe diseases, commonly termed ciliopathies. The molecular details underlying ciliopathies and ciliary function are, however, not well understood. Since cilia are small subcellular compartments, imaging-based approaches have been used to study them. However, tools to comprehensively analyze images are lacking. Automatic analysis approaches require commercial software and are limited to 2D analysis and only a few parameters. The widely used manual analysis approaches are time consuming, user-biased, and difficult to compare. Here, we present CiliaQ, a package of open-source, freely available, and easy-to-use ImageJ plugins. CiliaQ allows high-throughput analysis of 2D and 3D, static or time-lapse images from fluorescence microscopy of cilia in cell culture or tissues, and outputs a comprehensive list of parameters for ciliary morphology, length, bending, orientation, and fluorescence intensity, making it broadly applicable. We envision CiliaQ as a resource and platform for reproducible and comprehensive analysis of ciliary function in health and disease.
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