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Deep Collection of Quantitative Nuclear Division Dynamics Data in RNAi-treated Caenorhabditis elegans Embryos
bioRxiv - Developmental Biology Pub Date : 2020-10-05 , DOI: 10.1101/2020.10.04.325761
Koji Kyoda , Hatsumi Okada , Hiroya Itoga , Shuichi Onami

Recent advances in bioimage informatics techniques have yielded quantitative data on multicellular dynamics from microscopy images of animal development. Several such data collections have been created for Caenorhabditis elegans embryos under various gene silencing conditions. However, because of the limited depth of the datasets, it is impractical to apply standard statistical methods to these collections. Here, we created a deep collection of quantitative data on nuclear division dynamics during the first three rounds of cell division in C. elegans embryos, in which 263 essential embryonic genes were silenced individually by RNA-mediated interference. The collection consists of datasets from 33 wild-type and 1142 RNAi-treated embryos, including five or more datasets for 189 genes. Application of a two-sample t-test identified 8660 reproducible RNAi-induced phenotypes for 421 phenotypic characters. Clustering analysis suggested 24 functional processes essential for early embryogenesis. Our collection is a rich resource for understanding animal development mechanisms.

中文翻译:

RNAi处理的秀丽隐杆线虫胚胎的定量核分裂动力学数据的深层收集

生物图像信息学技术的最新进展已从动物发育的显微图像中获得了有关多细胞动力学的定量数据。在各种基因沉默条件下,已经为秀丽隐杆线虫胚胎创建了多个此类数据收集。但是,由于数据集的深度有限,将标准的统计方法应用于这些集合是不切实际的。在这里,我们创建了关于线虫前三轮细胞分裂过程中核分裂动力学定量数据的深入收集胚胎,其中263个必需的胚胎基因被RNA介导的干扰单独沉默。该集合包括来自33个野生型和1142个RNAi处理过的胚胎的数据集,包括五个或多个189个基因的数据集。两次样本t检验的应用为421个表型特征鉴定了8660个可重现的RNAi诱导的表型。聚类分析表明早期胚胎发生必不可少的24个功能过程。我们的收藏是了解动物发育机制的丰富资源。
更新日期:2020-10-05
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