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Both Intrinsic Substrate Preference and Network Context Contribute to Substrate Selection of Classical Tyrosine Phosphatases.
Palma, Anita; Tinti, Michele; Paoluzi, Serena; Santonico, Elena; Brandt, Bernd Willem; Hooft van Huijsduijnen, Rob; Masch, Antonia; Heringa, Jaap; Schutkowski, Mike; Castagnoli, Luisa; Cesareni, Gianni.
Afiliación
  • Palma A; From the Department of Biology, University of Rome Tor Vergata, 00133 Rome, Italy.
  • Tinti M; From the Department of Biology, University of Rome Tor Vergata, 00133 Rome, Italy.
  • Paoluzi S; From the Department of Biology, University of Rome Tor Vergata, 00133 Rome, Italy.
  • Santonico E; From the Department of Biology, University of Rome Tor Vergata, 00133 Rome, Italy.
  • Brandt BW; the Centre for Integrative Bioinformatics, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands, and.
  • Hooft van Huijsduijnen R; the Geneva Research Center, Merck Serono International, 1202 Geneva, Switzerland.
  • Masch A; the Institut für Biochemie & Biotechnologie, Martin-Luther-Universität Halle-Wittenberg, 06108 Halle, Germany.
  • Heringa J; the Centre for Integrative Bioinformatics, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands, and.
  • Schutkowski M; the Institut für Biochemie & Biotechnologie, Martin-Luther-Universität Halle-Wittenberg, 06108 Halle, Germany.
  • Castagnoli L; From the Department of Biology, University of Rome Tor Vergata, 00133 Rome, Italy.
  • Cesareni G; From the Department of Biology, University of Rome Tor Vergata, 00133 Rome, Italy, cesareni@uniroma2.it.
J Biol Chem ; 292(12): 4942-4952, 2017 03 24.
Article en En | MEDLINE | ID: mdl-28159843
ABSTRACT
Reversible tyrosine phosphorylation is a widespread post-translational modification mechanism underlying cell physiology. Thus, understanding the mechanisms responsible for substrate selection by kinases and phosphatases is central to our ability to model signal transduction at a system level. Classical protein-tyrosine phosphatases can exhibit substrate specificity in vivo by combining intrinsic enzymatic specificity with the network of protein-protein interactions, which positions the enzymes in close proximity to their substrates. Here we use a high throughput approach, based on high density phosphopeptide chips, to determine the in vitro substrate preference of 16 members of the protein-tyrosine phosphatase family. This approach helped identify one residue in the substrate binding pocket of the phosphatase domain that confers specificity for phosphopeptides in a specific sequence context. We also present a Bayesian model that combines intrinsic enzymatic specificity and interaction information in the context of the human protein interaction network to infer new phosphatase substrates at the proteome level.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fosfopéptidos / Proteínas Tirosina Fosfatasas Tipo de estudio: Prognostic_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: J Biol Chem Año: 2017 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fosfopéptidos / Proteínas Tirosina Fosfatasas Tipo de estudio: Prognostic_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: J Biol Chem Año: 2017 Tipo del documento: Article País de afiliación: Italia
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