Direction pathway analysis of large-scale proteomics data reveals novel features of the insulin action pathway.

Yang, Pengyi; Patrick, Ellis; Tan, Shi-Xiong; Fazakerley, Daniel J; Burchfield, James; Gribben, Christopher; Prior, Matthew J; James, David E; Hwa Yang, Yee

Yang, Pengyi; Patrick, Ellis; Tan, Shi-Xiong; Fazakerley, Daniel J; Burchfield, James; Gribben, Christopher; Prior, Matthew J; James, David E; Hwa Yang, Yee.

Afiliação

Yang P; Systems Biology Group, Biostatistics Branch, National Institute of Environmental Health Sciences, National Institute of Health, Research Triangle Park, NC 27709, USA, School of Mathematics and Statistics, University of Sydney, Diabetes and Obesity Program, Garvan Institute of Medical Research, NSW 2006, Australia and Metabolism in Human Disease Unit, Institute of Molecular and Cellular Biology, A*Star, 61 Biopolis Drive, Proteos 138673, Singapore.

Bioinformatics ; 30(6): 808-14, 2014 Mar 15.

Article em En | MEDLINE | ID: mdl-24167158

Assuntos

Insulina/metabolismo; Proteômica/métodos; Adipócitos/metabolismo; Transporte Biológico; Membrana Celular/metabolismo; Fosfatidilinositol 3-Quinases/metabolismo; Proteoma/metabolismo; Proteínas Proto-Oncogênicas c-akt/metabolismo; Software

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteômica / Insulina Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Singapura

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