Department of Cell Biology, Harvard Medical School, Boston, Massachusetts, USA.
Nat Methods. 2012 Feb 19;9(4):363-6. doi: 10.1038/nmeth.1898.
Because off-target effects hamper interpretation and validation of RNAi screen data, we developed a bioinformatics method, genome-wide enrichment of seed sequence matches (GESS), to identify candidate off-targeted transcripts in primary screening data. GESS analysis revealed a prominent off-targeted transcript in several screens, including MAD2 (MAD2L1) in a screen for genes required for the spindle assembly checkpoint. GESS analysis results can enhance the validation rate in RNAi screens.
由于脱靶效应会干扰 RNAi 筛选数据的解释和验证，我们开发了一种生物信息学方法，即全基因组种子序列匹配富集（GESS），用于鉴定初级筛选数据中的候选脱靶转录本。GESS 分析在包括纺锤体组装检查点所必需基因筛选在内的多个筛选中揭示了一个突出的脱靶转录本，即 MAD2（MAD2L1）。GESS 分析结果可以提高 RNAi 筛选中的验证率。
Zotero 插件
