A bioinformatics method identifies prominent off-targeted transcripts in RNAi screens.
basic_science · Level V
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- Record sourced from PubMed, PMID 22343343.
- Also identified by DOI 10.1038/nmeth.1898 and PMC identifier 3482495.
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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.
Medical subject headings
- Computational Biology
- RNA Interference
- Transcription, Genetic