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Phosphorylation-linked complex profiling identifies assemblies required for Hippo signal integration.
Uliana, Federico; Ciuffa, Rodolfo; Mishra, Ranjan; Fossati, Andrea; Frommelt, Fabian; Keller, Sabrina; Mehnert, Martin; Birkeland, Eivind Salmorin; van Drogen, Frank; Srejic, Nevena; Peter, Matthias; Tapon, Nicolas; Aebersold, Ruedi; Gstaiger, Matthias.
Afiliação
  • Uliana F; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Ciuffa R; Department of Biology, Institute of Biochemistry, ETH Zurich, Zurich, Switzerland.
  • Mishra R; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Fossati A; Department of Biology, Institute of Biochemistry, ETH Zurich, Zurich, Switzerland.
  • Frommelt F; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Keller S; Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.
  • Mehnert M; Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.
  • Birkeland ES; J. David Gladstone Institutes, San Francisco, CA, USA.
  • van Drogen F; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Srejic N; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Peter M; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Tapon N; Department of Biology, Institute of Biochemistry, ETH Zurich, Zurich, Switzerland.
  • Aebersold R; Department of Biology, Institute of Biochemistry, ETH Zurich, Zurich, Switzerland.
  • Gstaiger M; Department of Biology, Institute of Biochemistry, ETH Zurich, Zurich, Switzerland.
Mol Syst Biol ; 19(4): e11024, 2023 04 12.
Article em En | MEDLINE | ID: mdl-36896621
While several computational methods have been developed to predict the functional relevance of phosphorylation sites, experimental analysis of the interdependency between protein phosphorylation and Protein-Protein Interactions (PPIs) remains challenging. Here, we describe an experimental strategy to establish interdependencies between protein phosphorylation and complex formation. This strategy is based on three main steps: (i) systematically charting the phosphorylation landscape of a target protein; (ii) assigning distinct proteoforms of the target protein to different protein complexes by native complex separation (AP-BNPAGE) and protein correlation profiling; and (iii) analyzing proteoforms and complexes in cells lacking regulators of the target protein. We applied this strategy to YAP1, a transcriptional co-activator for the control of organ size and tissue homeostasis that is highly phosphorylated and among the most connected proteins in human cells. We identified multiple YAP1 phosphosites associated with distinct complexes and inferred how both are controlled by Hippo pathway members. We detected a PTPN14/LATS1/YAP1 complex and suggest a model how PTPN14 inhibits YAP1 via augmenting WW domain-dependent complex formation and phosphorylation by LATS1/2.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transdução de Sinais / Proteínas Adaptadoras de Transdução de Sinal Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transdução de Sinais / Proteínas Adaptadoras de Transdução de Sinal Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article