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GenomeRNAi: a database for cell-based RNAi phenotypes

RNA interference (RNAi) has emerged as a powerful tool to generate loss-of-function phenotypes in a variety of organisms. Combined with the sequence information of almost completely annotated genomes, RNAi technologies have opened new avenues to conduct systematic genetic screens for every annotated...

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Detalles Bibliográficos
Autores principales: Horn, Thomas, Arziman, Zeynep, Berger, Juerg, Boutros, Michael
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1747177/
https://www.ncbi.nlm.nih.gov/pubmed/17135194
http://dx.doi.org/10.1093/nar/gkl906
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author Horn, Thomas
Arziman, Zeynep
Berger, Juerg
Boutros, Michael
author_facet Horn, Thomas
Arziman, Zeynep
Berger, Juerg
Boutros, Michael
author_sort Horn, Thomas
collection PubMed
description RNA interference (RNAi) has emerged as a powerful tool to generate loss-of-function phenotypes in a variety of organisms. Combined with the sequence information of almost completely annotated genomes, RNAi technologies have opened new avenues to conduct systematic genetic screens for every annotated gene in the genome. As increasing large datasets of RNAi-induced phenotypes become available, an important challenge remains the systematic integration and annotation of functional information. Genome-wide RNAi screens have been performed both in Caenorhabditis elegans and Drosophila for a variety of phenotypes and several RNAi libraries have become available to assess phenotypes for almost every gene in the genome. These screens were performed using different types of assays from visible phenotypes to focused transcriptional readouts and provide a rich data source for functional annotation across different species. The GenomeRNAi database provides access to published RNAi phenotypes obtained from cell-based screens and maps them to their genomic locus, including possible non-specific regions. The database also gives access to sequence information of RNAi probes used in various screens. It can be searched by phenotype, by gene, by RNAi probe or by sequence and is accessible at
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spelling pubmed-17471772007-02-22 GenomeRNAi: a database for cell-based RNAi phenotypes Horn, Thomas Arziman, Zeynep Berger, Juerg Boutros, Michael Nucleic Acids Res Articles RNA interference (RNAi) has emerged as a powerful tool to generate loss-of-function phenotypes in a variety of organisms. Combined with the sequence information of almost completely annotated genomes, RNAi technologies have opened new avenues to conduct systematic genetic screens for every annotated gene in the genome. As increasing large datasets of RNAi-induced phenotypes become available, an important challenge remains the systematic integration and annotation of functional information. Genome-wide RNAi screens have been performed both in Caenorhabditis elegans and Drosophila for a variety of phenotypes and several RNAi libraries have become available to assess phenotypes for almost every gene in the genome. These screens were performed using different types of assays from visible phenotypes to focused transcriptional readouts and provide a rich data source for functional annotation across different species. The GenomeRNAi database provides access to published RNAi phenotypes obtained from cell-based screens and maps them to their genomic locus, including possible non-specific regions. The database also gives access to sequence information of RNAi probes used in various screens. It can be searched by phenotype, by gene, by RNAi probe or by sequence and is accessible at Oxford University Press 2007-01 2006-11-28 /pmc/articles/PMC1747177/ /pubmed/17135194 http://dx.doi.org/10.1093/nar/gkl906 Text en © 2006 The Author(s) This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Horn, Thomas
Arziman, Zeynep
Berger, Juerg
Boutros, Michael
GenomeRNAi: a database for cell-based RNAi phenotypes
title GenomeRNAi: a database for cell-based RNAi phenotypes
title_full GenomeRNAi: a database for cell-based RNAi phenotypes
title_fullStr GenomeRNAi: a database for cell-based RNAi phenotypes
title_full_unstemmed GenomeRNAi: a database for cell-based RNAi phenotypes
title_short GenomeRNAi: a database for cell-based RNAi phenotypes
title_sort genomernai: a database for cell-based rnai phenotypes
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1747177/
https://www.ncbi.nlm.nih.gov/pubmed/17135194
http://dx.doi.org/10.1093/nar/gkl906
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