A probability-based approach for the analysis of large-scale RNAi screens.

Abstract:

:We describe a statistical analysis methodology designed to minimize the impact of off-target activities upon large-scale RNA interference (RNAi) screens in mammalian cells. Application of this approach enhances reconfirmation rates and facilitates the experimental validation of new gene activities through the probability-based identification of multiple distinct and active small interfering RNAs (siRNAs) targeting the same gene. We further extend this approach to establish that the optimal redundancy for efficacious RNAi collections is between 4-6 siRNAs per gene.

journal_name

Nat Methods

journal_title

Nature methods

authors

König R,Chiang CY,Tu BP,Yan SF,DeJesus PD,Romero A,Bergauer T,Orth A,Krueger U,Zhou Y,Chanda SK

doi

10.1038/nmeth1089

subject

Has Abstract

pub_date

2007-10-01 00:00:00

pages

847-9

issue

10

eissn

1548-7091

issn

1548-7105

pii

nmeth1089

journal_volume

4

pub_type

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