A bioinformatics method identifies prominent off-targeted transcripts in RNAi screens
Nature methods, 2012•nature.com
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.
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.
Abstract
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.
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