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False negative rates in Drosophila cell-based RNAi screens: a case study by Matthew Booker; Anastasia A Samsonova; Young Kwon; Ian Flockhart; Stephanie E Mohr; Norbert Perrimon is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is False negative rates in Drosophila cell-based RNAi screens: a case study about?

## Background High-throughput screening using RNAi is a powerful gene discovery method but is often complicated by false positive and false negative results. Whereas false positive results associated with RNAi reagents has been a matter of extensive study, the issue of false negatives has received less attention. ## Results We performed a meta-analysis of several genome-wide, cell-based __Drosophila__ RNAi screens, together with a more focused RNAi screen, and conclude that the rate of false negative results is at least 8%. Further, we demonstrate how knowledge of the cell transcriptome can be used to resolve ambiguous results and how the number of false negative results can be reduced by using multiple, independently-tested RNAi reagents per gene. ## Conclusions RNAi reagents that target the same gene do not always yield consistent results due to false positives and weak or ineffective reagents. False positive results can be partially minimized by filtering with transcriptome data. RNAi libraries with multiple reagents per gene also reduce false positive and false negative outcomes when inconsistent results are disambiguated carefully.

Who reads False negative rates in Drosophila cell-based RNAi screens: a case study?

Author

Matthew Booker; Anastasia A Samsonova; Young Kwon; Ian Flockhart; Stephanie E Mohr; Norbert Perrimon

Publisher

BioMed Central; Springer (Biomed Central Ltd.); London: BioMed Central, 2000-; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc. (ISSN 1471-2164)

Published

2011

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)