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Integration of cardiac proteome biology and medicine by a specialized knowledgebase.
Circ Res ; 113(9): 1043-53, 2013 Oct 12.
Article em En | MEDLINE | ID: mdl-23965338
RATIONALE: Omics sciences enable a systems-level perspective in characterizing cardiovascular biology. Integration of diverse proteomics data via a computational strategy will catalyze the assembly of contextualized knowledge, foster discoveries through multidisciplinary investigations, and minimize unnecessary redundancy in research efforts. OBJECTIVE: The goal of this project is to develop a consolidated cardiac proteome knowledgebase with novel bioinformatics pipeline and Web portals, thereby serving as a new resource to advance cardiovascular biology and medicine. METHODS AND RESULTS: We created Cardiac Organellar Protein Atlas Knowledgebase (COPaKB; www.HeartProteome.org), a centralized platform of high-quality cardiac proteomic data, bioinformatics tools, and relevant cardiovascular phenotypes. Currently, COPaKB features 8 organellar modules, comprising 4203 LC-MS/MS experiments from human, mouse, drosophila, and Caenorhabditis elegans, as well as expression images of 10,924 proteins in human myocardium. In addition, the Java-coded bioinformatics tools provided by COPaKB enable cardiovascular investigators in all disciplines to retrieve and analyze pertinent organellar protein properties of interest. CONCLUSIONS: COPaKB provides an innovative and interactive resource that connects research interests with the new biological discoveries in protein sciences. With an array of intuitive tools in this unified Web server, nonproteomics investigators can conveniently collaborate with proteomics specialists to dissect the molecular signatures of cardiovascular phenotypes.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Integração de Sistemas / Bases de Dados de Proteínas / Proteômica / Biologia de Sistemas / Bases de Conhecimento / Proteínas Musculares / Miocárdio Tipo de estudo: Sysrev_observational_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2013 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Integração de Sistemas / Bases de Dados de Proteínas / Proteômica / Biologia de Sistemas / Bases de Conhecimento / Proteínas Musculares / Miocárdio Tipo de estudo: Sysrev_observational_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2013 Tipo de documento: Article