A Bioinformatics Method Identifies Prominent Off-targeted Transcripts in RNAi Screens

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A Bioinformatics Method Identifies Prominent Off-targeted Transcripts in RNAi Screens

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Title: A Bioinformatics Method Identifies Prominent Off-targeted Transcripts in RNAi Screens
Author: Sigoillot, Frederic D.; Lyman, Susan; Huckins, Jeremy F.; Chung, Eunah; Quattrochi, Brian; King, Randall Wharton; Adamson, Brittany Susan

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Citation: Sigoillot, 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.
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Abstract: Because 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.
Published Version: doi:10.1038/nmeth.1898
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3482495/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:10579115
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