A Bioinformatics Method Identifies Prominent Off-targeted Transcripts in RNAi Screens
Sigoillot, Frederic D.
Huckins, Jeremy F.
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CitationSigoillot, Frederic D., Susan Lyman, Jeremy F. Huckins, Britt Adamson, Eunah Chung, Brian Quattrochi, and Randall W. King. 2012. A bioinformatics method identifies prominent off-targeted transcripts in RNAi screens. Nature Methods 9(4): 363-366.
AbstractBecause off-target effects hamper interpretation and validation of RNAi screens, we developed a bioinformatics method, Genome-wide Enrichment of Seed Sequence matches (GESS), to identify candidate off-targeted transcripts from direct analysis of primary screening data. GESS identified a prominent off-targeted transcript in several screens, including MAD2 in a screen for components of the spindle assembly checkpoint. We demonstrate how incorporation of the results of GESS analysis can enhance the validation rate in RNAi screens.
Citable link to this pagehttp://nrs.harvard.edu/urn-3:HUL.InstRepos:10579115
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