Multidimensional quantification of subcellular morphology of Saccharomyces cerevisiae using CalMorph, the high-throughput image-processing program.
Multidimensional quantification of subcellular morphology of Saccharomyces cerevisiae using CalMorph, the high-throughput image-processing program.
复制标题
使用高通量图像处理程序 CalMorph 对酿酒酵母的亚细胞形态进行多维定量。
DOI：
10.1016/j.jbiotec.2009.03.014
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发表时间：
2009
影响因子：
4.1
通讯作者：
Y. Ohya
中科院分区：
文献类型：
--
作者：
Takahiro Negishi;Satoru Nogami;Y. Ohya
为了定量和多维评估芽殖酵母细胞中亚细胞器和蛋白质复合物的形态，我们应用了我们最近开发的图像处理程序，CalMorph。在这项研究中，线粒体，空泡，内质网，高尔基体，核内体，纺锤体极体，和分隔形态进行了评价。除了最初开发的501个参数的细胞壁形态，核DNA和肌动蛋白，我们提出了一个额外的610个参数的亚细胞成分的形态，导致在1111个定量参数来评估形态的芽殖酵母。这种方法使人们能够进行更详细的表型研究，这在酵母功能基因组学中是有利的。
To quantitatively and multidimensionally assess the morphology of subcellular organelles and protein complexes in budding yeast cells, we applied our recently developed image-processing program, CalMorph. In this study, mitochondria, vacuole, endoplasmic reticulum, Golgi body, endosome, spindle pole body, and septin morphology were evaluated. In addition to the originally developed 501 parameters for cell wall morphology, nuclear DNA, and actin, we proposed an additional 610 parameters for the morphology of subcellular components, resulting in a total of 1111 quantitative parameters to evaluate the morphology of budding yeast. This approach enables one to conduct more detailed phenotypic studies, which is advantageous in yeast functional genomics.