Abstract

Functional selectivity of G-protein-coupled receptors is believed to originate from ligand-specific conformations that activate only subsets of signaling effectors. In this study, to identify molecular motifs playing important roles in transducing ligand binding into distinct signaling responses, we combined in silico evolutionary lineage analysis and structure-guided site-directed mutagenesis with large-scale functional signaling characterization and non-negative matrix factorization clustering of signaling profiles. Clustering based on the signaling profiles of 28 variants of the β2-adrenergic receptor reveals three clearly distinct phenotypical clusters, showing selective impairments of either the Gi or βarrestin/endocytosis pathways with no effect on Gs activation. Robustness of the results is confirmed using simulation-based error propagation. The structural changes resulting from functionally biasing mutations centered around the DRY, NPxxY, and PIF motifs, selectively linking these micro-switches to unique signaling profiles. Our data identify different receptor regions that are important for the stabilization of distinct conformations underlying functional selectivity.

Details

Title
Evolutionary action and structural basis of the allosteric switch controlling β2AR functional selectivity
Author
Schönegge, Anne-Marie 1 ; Gallion, Jonathan 2 ; Picard, Louis-Philippe 1 ; Wilkins, Angela D 3 ; Christian Le Gouill 1 ; Audet, Martin 1 ; Stallaert, Wayne 1 ; Lohse, Martin J 4 ; Kimmel, Marek 5 ; Lichtarge, Olivier 6 ; Bouvier, Michel 1   VIAFID ORCID Logo 

 Department of Biochemistry, Institute for Research in Immunology and Cancer, Université de Montreal, Montreal, QC, Canada 
 Department of Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, TX, USA 
 Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA 
 Institute of Pharmacology and Toxicology, Würzburg, Germany; Max Delbrück Center for Molecular Medicine, Berlin, Germany 
 Departments of Statistics and Bioengineering, Rice University, Houston, TX, USA 
 Department of Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, TX, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA 
Pages
1-12
Publication year
2017
Publication date
Dec 2017
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1983419606
Copyright
© 2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.