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High-Throughput Screening by RNA Interference: Control of Two Distinct Types of Variance
David J. Stone, Shane Marine, John Majercak, William J. Ray, Amy Espeseth, Adam Simon and Marc Ferrer
volume 6 | issue 8
15 April 2007Pages: 898 - 901
This is an open-access article
If the document does not open, please right-click on the link (control-click on a Macintosh) and select the option to save the file to disk.
The availability of genome-wide RNAi libraries has enabled researchers to rapidly assess the functions of thousands of genes; however the fact that these screens are run in living biological systems add complications above and beyond that normally seen in high-throughput screening (HTS). Specifically, error due to variance in both measurement and biology are large in such screens, leading to the conclusion that the majority of "hits" are expected to be false positives. Here, we outline basic guidelines for screen development that will help the researcher to control these forms of variance. By running a large number of positive and negative control genes, error of measurement can be accurately estimated and false negatives reduced. Likewise, by using a complex readout for the screen which is not easily mimicked by other biological pathways and phenomena, false positives can be minimized. By controlling variance in these ways, the researcher can maximize the utility of genome-wide RNAi screening.
Authors
David J. Stone
Merck & Co., Inc., West Point, PA
Shane Marine
Merck & Co., Inc., West Point, PA
John Majercak
Merck & Co., Inc., West Point, PA
William J. Ray
Merck & Co., Inc., West Point, PA
Amy Espeseth
Merck & Co., Inc., West Point, PA
Adam Simon
Merck & Co., Inc., West Point, PA
Marc Ferrer
Merck & Co., Inc., West Point, PA
This is an open-access article
If the document does not open, please right-click on the link (control-click on a Macintosh) and select the option to save the file to disk.




