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GDA, a web-based tool for Genomics and Drugs integrated analysis.
Caroli, Jimmy; Sorrentino, Giovanni; Forcato, Mattia; Del Sal, Giannino; Bicciato, Silvio.
Afiliação
  • Caroli J; Dept. of Life Sciences, University of Modena and Reggio Emilia, Via G. Campi, 287, 41125 Modena, Italy.
  • Sorrentino G; Laboratory of Metabolic Signaling, Ecole Polytechnique Fédérale de Lausanne EPFL, Lausanne, Switzerland.
  • Forcato M; Dept. of Life Sciences, University of Modena and Reggio Emilia, Via G. Campi, 287, 41125 Modena, Italy.
  • Del Sal G; Laboratorio Nazionale CIB, Area Science Park Padriciano, Trieste, Italy.
  • Bicciato S; Dept. of Life Sciences, University of Trieste, Trieste, Italy.
Nucleic Acids Res ; 46(W1): W148-W156, 2018 07 02.
Article em En | MEDLINE | ID: mdl-29800349
ABSTRACT
Several major screenings of genetic profiling and drug testing in cancer cell lines proved that the integration of genomic portraits and compound activities is effective in discovering new genetic markers of drug sensitivity and clinically relevant anticancer compounds. Despite most genetic and drug response data are publicly available, the availability of user-friendly tools for their integrative analysis remains limited, thus hampering an effective exploitation of this information. Here, we present GDA, a web-based tool for Genomics and Drugs integrated Analysis that combines drug response data for >50 800 compounds with mutations and gene expression profiles across 73 cancer cell lines. Genomic and pharmacological data are integrated through a modular architecture that allows users to identify compounds active towards cancer cell lines bearing a specific genomic background and, conversely, the mutational or transcriptional status of cells responding or not-responding to a specific compound. Results are presented through intuitive graphical representations and supplemented with information obtained from public repositories. As both personalized targeted therapies and drug-repurposing are gaining increasing attention, GDA represents a resource to formulate hypotheses on the interplay between genomic traits and drug response in cancer. GDA is freely available at http//gda.unimore.it/.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Genômica / Antineoplásicos Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Genômica / Antineoplásicos Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article