A bioinformatics method identifies prominent off-targeted transcripts in RNAi screens.

Author(s): Sigoillot, Frederic D; Lyman, Susan; Huckins, Jeremy F; Adamson, Britt; Chung, Eunah; et al

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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.
Publication Date:	19-Feb-2012
Citation:	Sigoillot, Frederic D, Lyman, Susan, Huckins, Jeremy F, Adamson, Britt, Chung, Eunah, Quattrochi, Brian, King, Randall W. (2012). A bioinformatics method identifies prominent off-targeted transcripts in RNAi screens.. Nature methods, 9 (4), 363 - 366. doi:10.1038/nmeth.1898
DOI:	doi:10.1038/nmeth.1898
ISSN:	1548-7091
EISSN:	1548-7105
Pages:	1 - 7
Language:	eng
Type of Material:	Journal Article
Journal/Proceeding Title:	Nature methods
Version:	Final published version. Article is made available in OAR by the publisher's permission or policy.