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Proteome-wide dataset supporting functional study of tyrosine kinases in breast cancer.
Angelopoulos, Nicos; Stebbing, Justin; Xu, Yichen; Giamas, Georgios; Zhang, Hua.
Afiliação
  • Angelopoulos N; Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 ONN, UK.
  • Stebbing J; Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 ONN, UK.
  • Xu Y; Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 ONN, UK.
  • Giamas G; Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 ONN, UK; School of Life Sciences, University of Sussex, Falmer, Brighton BN1 9RQ, UK.
  • Zhang H; Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 ONN, UK.
Data Brief ; 7: 740-6, 2016 Jun.
Article em En | MEDLINE | ID: mdl-27054188
Tyrosine kinases (TKs) play an essential role in regulating various cellular activities and dysregulation of TK signaling contributes to oncogenesis. However, less than half of the TKs have been thoroughly studied. Through a combined use of RNAi and stable isotope labeling with amino acids in cell culture (SILAC)-based quantitative proteomics, a global functional proteomic landscape of TKs in breast cancer was recently revealed highlighting a comprehensive and highly integrated signaling network regulated by TKs (Stebbing et al., 2015) [1]. We collate the enormous amount of the proteomic data in an open access platform, providing a valuable resource for studying the function of TKs in cancer and benefiting the science community. Here we present a detailed description related to this study (Stebbing et al., 2015) [1] and the raw data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the identifier PXD002065.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article