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Computationally designed GPCR quaternary structures bias signaling pathway activation

Author

Listed:
  • Justine S. Paradis

    (Université de Montréal
    Université de Montréal)

  • Xiang Feng

    (Ecole Polytechnique Fédérale de Lausanne
    Van Andel Institute)

  • Brigitte Murat

    (Université de Montréal
    Université de Montréal)

  • Robert E. Jefferson

    (Ecole Polytechnique Fédérale de Lausanne)

  • Badr Sokrat

    (Université de Montréal
    Université de Montréal)

  • Martyna Szpakowska

    (Luxembourg Institute of Health)

  • Mireille Hogue

    (Université de Montréal)

  • Nick D. Bergkamp

    (Vrije Universiteit)

  • Franziska M. Heydenreich

    (Université de Montréal
    Université de Montréal)

  • Martine J. Smit

    (Vrije Universiteit)

  • Andy Chevigné

    (Luxembourg Institute of Health)

  • Michel Bouvier

    (Université de Montréal
    Université de Montréal)

  • Patrick Barth

    (Ecole Polytechnique Fédérale de Lausanne)

Abstract

Communication across membranes controls critical cellular processes and is achieved by receptors translating extracellular signals into selective cytoplasmic responses. While receptor tertiary structures can be readily characterized, receptor associations into quaternary structures are challenging to study and their implications in signal transduction remain poorly understood. Here, we report a computational approach for predicting receptor self-associations, and designing receptor oligomers with various quaternary structures and signaling properties. Using this approach, we designed chemokine receptor CXCR4 dimers with reprogrammed binding interactions, conformations, and abilities to activate distinct intracellular signaling proteins. In agreement with our predictions, the designed CXCR4s dimerized through distinct conformations and displayed different quaternary structural changes upon activation. Consistent with the active state models, all engineered CXCR4 oligomers activated the G protein Gi, but only specific dimer structures also recruited β-arrestins. Overall, we demonstrate that quaternary structures represent an important unforeseen mechanism of receptor biased signaling and reveal the existence of a bias switch at the dimer interface of several G protein-coupled receptors including CXCR4, mu-Opioid and type-2 Vasopressin receptors that selectively control the activation of G proteins vs β-arrestin-mediated pathways. The approach should prove useful for predicting and designing receptor associations to uncover and reprogram selective cellular signaling functions.

Suggested Citation

  • Justine S. Paradis & Xiang Feng & Brigitte Murat & Robert E. Jefferson & Badr Sokrat & Martyna Szpakowska & Mireille Hogue & Nick D. Bergkamp & Franziska M. Heydenreich & Martine J. Smit & Andy Chevig, 2022. "Computationally designed GPCR quaternary structures bias signaling pathway activation," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34382-7
    DOI: 10.1038/s41467-022-34382-7
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    References listed on IDEAS

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    1. Aashish Manglik & Andrew C. Kruse & Tong Sun Kobilka & Foon Sun Thian & Jesper M. Mathiesen & Roger K. Sunahara & Leonardo Pardo & William I. Weis & Brian K. Kobilka & Sébastien Granier, 2012. "Crystal structure of the µ-opioid receptor bound to a morphinan antagonist," Nature, Nature, vol. 485(7398), pages 321-326, May.
    2. Y. Wang & P. Barth, 2015. "Evolutionary-guided de novo structure prediction of self-associated transmembrane helical proteins with near-atomic accuracy," Nature Communications, Nature, vol. 6(1), pages 1-12, November.
    3. Aashish Manglik & Henry Lin & Dipendra K. Aryal & John D. McCorvy & Daniela Dengler & Gregory Corder & Anat Levit & Ralf C. Kling & Viachaslau Bernat & Harald Hübner & Xi-Ping Huang & Maria F. Sassano, 2016. "Structure-based discovery of opioid analgesics with reduced side effects," Nature, Nature, vol. 537(7619), pages 185-190, September.
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    Cited by:

    1. Robert E. Jefferson & Aurélien Oggier & Andreas Füglistaler & Nicolas Camviel & Mahdi Hijazi & Ana Rico Villarreal & Caroline Arber & Patrick Barth, 2023. "Computational design of dynamic receptor—peptide signaling complexes applied to chemotaxis," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    2. Daniele Di Marino & Paolo Conflitti & Stefano Motta & Vittorio Limongelli, 2023. "Structural basis of dimerization of chemokine receptors CCR5 and CXCR4," Nature Communications, Nature, vol. 14(1), pages 1-16, December.

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