Computational detection and suppression of sequence-specific off-target phenotypes from whole genome RNAi screens.

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.

journal_name

Nucleic Acids Res

journal_title

Nucleic acids research

authors

Zhong R,Kim J,Kim HS,Kim M,Lum L,Levine B,Xiao G,White MA,Xie Y

doi

10.1093/nar/gku306

subject

Has Abstract

pub_date

2014-07-01 00:00:00

pages

8214-22

issue

13

eissn

0305-1048

issn

1362-4962

pii

gku306

journal_volume

42

pub_type

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