A versatile multivariate image analysis pipeline reveals features of Xenopus extract spindles.
A versatile multivariate image analysis pipeline reveals features of Xenopus extract spindles.
复制标题
DOI:
10.1083/jcb.201509079
复制
发表时间:
2016-04-11
期刊:
影响因子:
--
通讯作者:
Heald R
中科院分区:
文献类型:
--
作者:
Grenfell AW;Strzelecka M;Crowder ME;Helmke KJ;Schlaitz AL;Heald R
The authors describe automated image and data analysis tools that reveal architectural principles of the Xenopus egg extract spindle, allow for rapid, unbiased assessment of spindle phenotypes, and can be adapted to analyze other subcellular structures such as nuclei. Imaging datasets are rich in quantitative information. However, few cell biologists possess the tools necessary to analyze them. Here, we present a large dataset of Xenopus extract spindle images together with an analysis pipeline designed to assess spindle morphology across a range of experimental conditions. Our analysis of different spindle types illustrates how kinetochore microtubules amplify spindle microtubule density. Extract mixing experiments reveal that some spindle features titrate, while others undergo switch-like transitions, and multivariate analysis shows the pleiotropic morphological effects of modulating the levels of TPX2, a key spindle assembly factor. We also apply our pipeline to analyze nuclear morphology in human cell culture, showing the general utility of the segmentation approach. Our analyses provide new insight into the diversity of spindle types and suggest areas for future study. The approaches outlined can be applied by other researchers studying spindle morphology and adapted with minimal modification to other experimental systems.