4.8 Article

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

Journal

NATURE METHODS
Volume 9, Issue 4, Pages 363-U66

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.1898

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Funding

  1. Harvard Clinical and Translational Science Center
  2. US National Center for Research Resources
  3. Sanofi-Aventis
  4. US National Institutes of Health [GM66492]
  5. [1 UL1 RR025758-01]

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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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