GDA, a web-based tool for Genomics and Drugs integrated analysis

被引:11
作者
Caroli, Jimmy [1 ]
Sorrentino, Giovanni [2 ]
Forcato, Mattia [1 ]
Del Sal, Giannino [3 ,4 ]
Bicciato, Silvio [1 ]
机构
[1] Univ Modena & Reggio Emilia, Dept Life Sci, Via G Campi 287, I-41125 Modena, Italy
[2] Ecole Polytech Fed Lausanne, Lab Metab Signaling, Lausanne, Switzerland
[3] Area Sci Pk Padriciano, Lab Nazl CIB, Trieste, Italy
[4] Univ Trieste, Dept Life Sci, Trieste, Italy
基金
欧洲研究理事会;
关键词
SENSITIVITY; MELANOMA; IDENTIFICATION; CONNECTIVITY; PHARMACOLOGY; INFORMATION; CELLMINER; DATABASE;
D O I
10.1093/nar/gky434
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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 withmutations 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/.
引用
收藏
页码:W148 / W156
页数:9
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