2. Academic Validation
  3. Systematic protein-protein interaction mapping for clinically relevant human GPCRs

Systematic protein-protein interaction mapping for clinically relevant human GPCRs

  • Mol Syst Biol. 2017 Mar 15;13(3):918. doi: 10.15252/msb.20167430.
Kate Sokolina 1,  Saranya Kittanakom 1,  Jamie Snider 1,  Max Kotlyar 2,  Pascal Maurice 3 4 5 6,  Jorge Gandía 7 8,  Abla Benleulmi-Chaachoua 3 4 5,  Kenjiro Tadagaki 3 4 5,  Atsuro Oishi 3 4 5,  Victoria Wong 1,  Ramy H Malty 9,  Viktor Deineko 9,  Hiroyuki Aoki 9,  Shahreen Amin 9,  Zhong Yao 1,  Xavier Morató 7 8,  David Otasek 2,  Hiroyuki Kobayashi 10,  Javier Menendez 1,  Daniel Auerbach 11,  Stephane Angers 12,  Natasa Pržulj 13,  Michel Bouvier 10,  Mohan Babu 9,  Francisco Ciruela 7 8,  Ralf Jockers 3 4 5,  Igor Jurisica 2 14 15,  Igor Stagljar 16 17 18
Affiliations

Affiliations

  • 1 Donnelly Centre, University of Toronto, Toronto, ON, Canada.
  • 2 Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada.
  • 3 Inserm, U1016, Institut Cochin, Paris, France.
  • 4 CNRS UMR 8104, Paris, France.
  • 5 Sorbonne Paris Cité, University of Paris Descartes, Paris, France.
  • 6 UMR CNRS 7369 Matrice Extracellulaire et Dynamique Cellulaire (MEDyC), Université de Reims Champagne Ardenne (URCA), UFR Sciences Exactes et Naturelles, Reims, France.
  • 7 Unitat de Farmacologia, Departament de Patologia i Terapèutica Experimental, Facultat de Medicina, IDIBELL, Universitat de Barcelona, L'Hospitalet de Llobregat, Barcelona, Spain.
  • 8 Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain.
  • 9 Department of Biochemistry, Research and Innovation Centre, University of Regina, Regina, SK, Canada.
  • 10 Department of Biochemistry, Institute for Research in Immunology & Cancer, Université de Montréal, Montréal, QC, Canada.
  • 11 Dualsystems Biotech AG, Schlieren, Switzerland.
  • 12 Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy and Department of Biochemistry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • 13 Department of Computing, University College London, London, UK.
  • 14 Departments of Medical Biophysics and Computer Science, University of Toronto, Toronto, ON, Canada.
  • 15 Institute of Neuroimmunology, Slovak Academy of Sciences, Bratislava, Slovakia.
  • 16 Donnelly Centre, University of Toronto, Toronto, ON, Canada igor.stagljar@utoronto.ca.
  • 17 Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
  • 18 Department of Biochemistry, University of Toronto, Toronto, ON, Canada.
PMID: 28298427 DOI: 10.15252/msb.20167430
Abstract

G-protein-coupled receptors (GPCRs) are the largest family of integral membrane receptors with key roles in regulating signaling pathways targeted by therapeutics, but are difficult to study using existing proteomics technologies due to their complex biochemical features. To obtain a global view of GPCR-mediated signaling and to identify novel components of their pathways, we used a modified membrane yeast two-hybrid (MYTH) approach and identified interacting partners for 48 selected full-length human ligand-unoccupied GPCRs in their native membrane environment. The resulting GPCR interactome connects 686 proteins by 987 unique interactions, including 299 membrane proteins involved in a diverse range of cellular functions. To demonstrate the biological relevance of the GPCR interactome, we validated novel interactions of the GPR37, serotonin 5-HT4d, and adenosine ADORA2A receptors. Our data represent the first large-scale interactome mapping for human GPCRs and provide a valuable resource for the analysis of signaling pathways involving this druggable family of integral membrane proteins.

Keywords

G‐protein‐coupled receptors; high‐throughput screening; integrative computational biology; interactome; protein–protein interactions; split‐ubiquitin membrane yeast two‐hybrid assay.

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