| Literature DB >> 24972830 |
Rui Zhong1, Jimi Kim2, Hyun Seok Kim3, Minsoo Kim4, Lawrence Lum2, Beth Levine5, Guanghua Xiao1, Michael A White6, Yang Xie7.
Abstract
A challenge for large-scale siRNA loss-of-function studies is the biological pleiotropy resulting from multiple modes of action of siRNA reagents. A major confounding feature of these reagents is the microRNA-like translational quelling resulting from short regions of oligonucleotide complementarity to many different messenger RNAs. We developed a computational approach, deconvolution analysis of RNAi screening data, for automated quantitation of off-target effects in RNAi screening data sets. Substantial reduction of off-target rates was experimentally validated in five distinct biological screens across different genome-wide siRNA libraries. A public-access graphical-user-interface has been constructed to facilitate application of this algorithm.Entities:
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Year: 2014 PMID： 24972830 PMCID： PMC4117740 DOI： 10.1093/nar/gku306
Source DB: PubMed Journal: Nucleic Acids Res ISSN： 0305-1048 Impact factor: 16.971