title: A novel specific edge effect correction method for RNA interference screenings.
abstract: High-throughput screening (HTS) is an important method in drug discovery in which the activities of a large number of candidate chemicals or genetic materials are rapidly evaluated. Data are usually obtained by measurements on samples in microwell plates and are often subjected to artefacts that can bias the result selection. We report here a novel edge effect correction algorithm suitable for RNA interference (RNAi) screening, because its normalization does not rely on the entire dataset and takes into account the specificities of such a screening process. The proposed method is able to estimate the edge effects for each assay plate individually using the data from a single control column based on diffusion model, and thus targeting a specific but recurrent well-known HTS artefact. This method was first developed and validated using control plates and was then applied to the correction of experimental data generated during a genome-wide siRNA screen aimed at studying HIV-host interactions. The proposed algorithm was able to correct the edge effect biasing the control data and thus improve assay quality and, consequently, the hit-selection step.
authors: Biology of Intracellular Pathogens, Inserm Avenir Team, Institut Pasteur Korea, Seongnam-si, Korea. jean-philippe.carralot@roche.com
authors: Jean-Philippe
authors: JP
authors: Carralot
authors: Arnaud
authors: A
authors: Ogier
authors: Annette
authors: A
authors: Boese
authors: Auguste
authors: A
authors: Genovesio
authors: Priscille
authors: P
authors: Brodin
authors: Peter
authors: P
authors: Sommer
authors: Thierry
authors: T
authors: Dorval
mesh_terms: D000465:Algorithms; D016477:Artifacts; D055808:Drug Discovery; D055106:Genome-Wide Association Study; D006678:HIV / Q000378:metabolism*; D006801:Humans; D034622:RNA Interference; D034741:RNA, Small Interfering / Q000378:metabolism
chemical_list: D034741:RNA, Small Interfering