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用于评估产生功能丧失等位基因sgRNA的评分系统

Tobias Neumann。

Anna Traunbauer, Ulrich Elling IssueVolume: 2020-06-08 Abstract: CRISPRCas9 screens have emerged as a transformative approach to systematically probe gene functions. The quality and success of these screens depends on the frequencies of loss-of-function alleles,该Vienna Bioactivity CRISPR评分系统()优于以前的预测工具, 本期文章:《自然—方法学》:Online/在线发表 奥地利维也纳生物中心Ulrich Elling和Johannes Zuber研究小组合作取得一项新成果, Thomas Rainer Burkard,这种筛选方法的质量和成功率取决于功能丧失等位基因发生的频率, Gintautas Vainorius, Max Gijsbertsen。

研究人员发现该优异效应的大小主要取决于框内突变对蛋白质功能的影响,并建立一个可捕获CRISPR-Cas9诱变中所有相关过程的评分系统,经过不懈努力,创刊于2004年,并将其与单向-向导RNA活性和插入缺失融合在一起形成了改进的预测因子, Julian Jude, Maria Hubmann, particularly in negative-selection screens widely applied for probing essential genes. Using optimized screening workflows, 研究人员表示, Alexander Schleiffer,。

研究人员将蛋白质特征整合到 Bioscore中, which can be predicted based on amino acid composition and conservation. We integrate protein features into a Bioscore and fuse it with improved predictors of single-guide RNA activity and indel formation to establish a score that captures all relevant processes in CRISPRCas9 mutagenesis. This Vienna Bioactivity CRISPR score () outperforms previous prediction tools and enables the selection of sgRNAs that effectively produce loss-of-function alleles. DOI: 10.1038/s41592-020-0850-8 Source:https://www.nature.com/articles/s41592-020-0850-8 期刊信息 Nature Methods: 《自然方法学》,隶属于施普林格自然出版集团,可以选择有效产生功能丧失等位基因的sgRNA, we performed essentialome screens in cancer cell lines and embryonic stem cells and achieved dropout efficiencies that could not be explained by common frameshift frequencies. We find that these superior effect sizes are mainly determined by the impact of in-frame mutations on protein function。

Melanie de Almeida,并获得了无法用常用移码突变频率解释的敲出效率,CRISPR-Cas9筛选已成为一种系统探究基因功能的转化方法,尤其是在广泛应用于探究必需基因阴性选择的筛选中, Johannes Zuber, 使用优化的筛选工作流程, Matthias Hinterndorfer,研究人员在癌细胞系和胚胎干细胞中进行了必需基因组的筛选,最新IF:28.467 官方网址: https://www.nature.com/nmeth/ 投稿链接: https://mts-nmeth.nature.com/cgi-bin/main.plex , Michaela Fellner, 这一研究成果于2020年6月8日发表在《自然方法学》上。

附:英文原文 Title: Multilayered VBC score predicts sgRNAs that efficiently generate loss-of-function alleles Author: Georg Michlits。

他们发现多层VBC评分系统可预测有效产生功能丧失等位基因的sgRNA,这可以根据氨基酸组成和保守性进行预测。

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