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

A probability-based approach for the analysis of large-scale RNAi screens
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DOI:
10.1038/nmeth1089
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发表时间:
2007-10-01
期刊:
影响因子:
48
通讯作者:
Chanda, Sumit K.
Chanda, Sumit K.
中科院分区:
生物学1区
文献类型:
--
作者:
Koenig, Renate;Chiang, Chih-Yuan;Chanda, Sumit K.

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我们描述了一种统计分析方法,旨在最大限度地减少脱靶活动对哺乳动物细胞中大规模RNA干扰(RNAi)筛选的影响。这种方法的应用提高了再确认率,并通过基于概率的鉴定多个不同的和活性的小干扰RNA(siRNA)靶向相同的基因,促进新基因活性的实验验证。我们进一步扩展了这种方法,以确定有效RNAi集合的最佳冗余度为每个基因4-6个siRNA。
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.