A probability-based approach for the analysis of large-scale RNAi screens.
Konig, Renate, Chiang, Chih-Yuan, Tu, Buu, Yan, Frank, DeJesus, Paul, Romero, Angelica, Bergauer, Tobias, Orth, Anthony, Krueger, Ute, Zhou, Yingyao and Chanda, Sumit (2007) A probability-based approach for the analysis of large-scale RNAi screens. Nature Methods, 4 (10). pp. 847-849. ISSN 1548-7091
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.
Item Type: | Article |
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Additional Information: | author can archive post-print (ie final draft post-refereeing); Publisher's version/PDF cannot be used |
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Date Deposited: | 14 Dec 2009 14:05 |
Last Modified: | 31 Jan 2013 01:27 |
URI: | https://oak.novartis.com/id/eprint/108 |