title: HTS-DB: an online resource to publish and query data from functional genomics high-throughput siRNA screening projects.
abstract: High-throughput screening (HTS) uses technologies such as RNA interference to generate loss-of-function phenotypes on a genomic scale. As these technologies become more popular, many research institutes have established core facilities of expertise to deal with the challenges of large-scale HTS experiments. As the efforts of core facility screening projects come to fruition, focus has shifted towards managing the results of these experiments and making them available in a useful format that can be further mined for phenotypic discovery. The HTS-DB database provides a public view of data from screening projects undertaken by the HTS core facility at the CRUK London Research Institute. All projects and screens are described with comprehensive assay protocols, and datasets are provided with complete descriptions of analysis techniques. This format allows users to browse and search data from large-scale studies in an informative and intuitive way. It also provides a repository for additional measurements obtained from screens that were not the focus of the project, such as cell viability, and groups these data so that it can provide a gene-centric summary across several different cell lines and conditions. All datasets from our screens that can be made available can be viewed interactively and mined for further hit lists. We believe that in this format, the database provides researchers with rapid access to results of large-scale experiments that might facilitate their understanding of genes/compounds identified in their own research. DATABASE URL: http://hts.cancerresearchuk.org/db/public.
authors.affiliation: High-throughput Screening Laboratory, Cancer Research UK, London Research Institute, 44 Lincoln's Inn Fields, London WC2A 3LY, UK.
authors.forename: Rebecca E
authors.initials: RE
authors.lastname: Saunders
authors.forename: Rachael
authors.initials: R
authors.lastname: Instrell
authors.forename: Rossella
authors.initials: R
authors.lastname: Rispoli
authors.forename: Ming
authors.initials: M
authors.lastname: Jiang
authors.forename: Michael
authors.initials: M
authors.lastname: Howell
mesh_terms: D002460:Cell Line; D002470:Cell Survival / Q000235:genetics; D030541:Databases, Genetic; D053263:Gene Regulatory Networks / Q000235:genetics; D023281:Genomics; D057166:High-Throughput Screening Assays / Q000379:methods*; D006801:Humans; D020407:Internet; D015201:Meta-Analysis as Topic; D011643:Publishing; D034741:RNA, Small Interfering / Q000378:metabolism*; D057386:Search Engine
chemical_list: D034741:RNA, Small Interfering