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In Vitro Kinase-to-Phosphosite Database (iKiP-DB) Predicts Kinase Activity in Phosphoproteomic Datasets.
Mari, Tommaso; Mösbauer, Kirstin; Wyler, Emanuel; Landthaler, Markus; Drosten, Christian; Selbach, Matthias.
Afiliação
  • Mari T; Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, 13092 Berlin, Germany.
  • Mösbauer K; Institute of Virology, Charité-Universitätsmedizin, 10117 Berlin, Germany.
  • Wyler E; Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, 13092 Berlin, Germany.
  • Landthaler M; Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, 13092 Berlin, Germany.
  • Drosten C; Institute of Virology, Charité-Universitätsmedizin, 10117 Berlin, Germany.
  • Selbach M; Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, 13092 Berlin, Germany.
J Proteome Res ; 21(6): 1575-1587, 2022 06 03.
Article em En | MEDLINE | ID: mdl-35608653
Phosphoproteomics routinely quantifies changes in the levels of thousands of phosphorylation sites, but functional analysis of such data remains a major challenge. While databases like PhosphoSitePlus contain information about many phosphorylation sites, the vast majority of known sites is not assigned to any protein kinase. Assigning changes in the phosphoproteome to the activity of individual kinases therefore remains a key challenge. A recent large-scale study systematically identified in vitro substrates for most human protein kinases. Here, we reprocessed and filtered these data to generate an in vitro Kinase-to-Phosphosite database (iKiP-DB). We show that iKiP-DB can accurately predict changes in kinase activity in published phosphoproteomic data sets for both well-studied and poorly characterized kinases. We apply iKiP-DB to a newly generated phosphoproteomic analysis of SARS-CoV-2 infected human lung epithelial cells and provide evidence for coronavirus-induced changes in host cell kinase activity. In summary, we show that iKiP-DB is widely applicable to facilitate the functional analysis of phosphoproteomic data sets.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fosfoproteínas / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Proteome Res Assunto da revista: BIOQUIMICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fosfoproteínas / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Proteome Res Assunto da revista: BIOQUIMICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha