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秀丽隐杆线虫的三维数字图谱及其在单细胞分析中的应用。

A 3D digital atlas of C. elegans and its application to single-cell analyses.

作者信息

Long Fuhui, Peng Hanchuan, Liu Xiao, Kim Stuart K, Myers Eugene

机构信息

Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA.

出版信息

Nat Methods. 2009 Sep;6(9):667-72. doi: 10.1038/nmeth.1366. Epub 2009 Aug 16.

Abstract

We built a digital nuclear atlas of the newly hatched, first larval stage (L1) of the wild-type hermaphrodite of Caenorhabditis elegans at single-cell resolution from confocal image stacks of 15 individual worms. The atlas quantifies the stereotypy of nuclear locations and provides other statistics on the spatial patterns of the 357 nuclei that could be faithfully segmented and annotated out of the 558 present at this developmental stage. We then developed an automated approach to assign cell names to each nucleus in a three-dimensional image of an L1 worm. We achieved 86% accuracy in identifying the 357 nuclei automatically. This computational method will allow high-throughput single-cell analyses of the post-embryonic worm, such as gene expression analysis, or ablation or stimulation of cells under computer control in a high-throughput functional screen.

摘要

我们从15条线虫的共聚焦图像堆栈中,以单细胞分辨率构建了野生型秀丽隐杆线虫新孵化的第一幼虫阶段(L1)的数字细胞核图谱。该图谱量化了细胞核位置的刻板性,并提供了关于在这个发育阶段存在的558个细胞核中能够被准确分割和注释的357个细胞核空间模式的其他统计数据。然后,我们开发了一种自动方法,为L1期线虫的三维图像中的每个细胞核指定细胞名称。我们在自动识别357个细胞核方面达到了86%的准确率。这种计算方法将允许对胚胎后线虫进行高通量单细胞分析,例如基因表达分析,或在高通量功能筛选中在计算机控制下对细胞进行消融或刺激。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb64/2882208/d042de8403c7/nihms134260f1.jpg

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