Cited by 38Receptor Mechanisms and SignalingProtein Kinase Regulation and GTPase SignalingProtein Structure and Dynamics

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Mechanistic insights into G-protein coupling with an agonist-bound G-protein-coupled receptor

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Abstract

G-protein-coupled receptors (GPCRs) activate heterotrimeric G proteins by promoting guanine nucleotide exchange. Here, we investigate the coupling of G proteins with GPCRs and describe the events that ultimately lead to the ejection of GDP from its binding pocket in the Gα subunit, the rate-limiting step during G-protein activation. Using molecular dynamics simulations, we investigate the temporal progression of structural rearrangements of GDP-bound G s protein (G s·GDP; hereafter G sGDP) upon coupling to the β 2-adrenergic receptor (β 2 AR) in atomic detail. The binding of G sGDP to the β 2 AR is followed by long-range allosteric effects that significantly reduce the energy needed for GDP release: the opening of α1-αF helices, the displacement of the αG helix and the opening of the α-helical domain. Signal propagation to the G s occurs through an extended receptor interface, including a lysine-rich motif at the intracellular end of a kinked transmembrane helix 6, which was confirmed by site-directed mutagenesis and functional assays. From this β 2 AR-G sGDP intermediate, G s undergoes an in-plane rotation along the receptor axis to approach the β 2 AR-G sempty state. The simulations shed light on how the structural elements at the receptor-G-protein interface may interact to transmit the signal over 30 Å to the nucleotide-binding site. Our analysis extends the current limited view of nucleotide-free snapshots to include additional states and structural features responsible for signaling and G-protein coupling specificity.

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Research works printed but not linked: 88

  1. Lefkowitz, R. J. Seven transmembrane receptors: something old, something new. Acta Physiol. 190, 9–19 (2007). · DOI
  2. Santos, R. et al. A comprehensive map of molecular drug targets. Nat. Rev. Drug Discov. 16, 19–34 (2017). · DOI · Paper page
  3. Farrens, D. L., Altenbach, C., Yang, K., Hubbell, W. L. & Khorana, H. G. Requirement of rigid-body motion of transmembrane helices for light activation of rhodopsin. Science 274, 768–770 (1996). · DOI
  4. Rasmussen, S. G. F. et al. Crystal structure of the β2 adrenergic receptor–Gs protein complex. Nature 477, 549–557 (2011). · DOI · Paper page
  5. Flock, T. et al. Universal allosteric mechanism for Gα activation by GPCRs. Nature 524, 173–179 (2015). · DOI
  6. Hauser, A. S. et al. Common coupling map advances GPCR-G protein selectivity. eLife 11, e74107 (2022). · DOI
  7. García-Nafría, J. & Tate, C. G. Structure determination of GPCRs: cryo-EM compared with X-ray crystallography. Biochem. Soc. Trans. 49, 2345 (2021). · DOI
  8. García-Nafría, J. & Tate, C. G. Cryo-EM structures of GPCRs coupled to Gs, Gi and Go. Mol. Cell. Endocrinol. 488, 1–13 (2019). · DOI
  9. Du, Y. et al. Assembly of a GPCR–G protein complex. Cell 177, 1232–1242.e11 (2019). · DOI
  10. Heck, M. & Hofmann, K. P. Maximal rate and nucleotide dependence of rhodopsin-catalyzed transducin activation: initial rate analysis based on a double displacement mechanism. J. Biol. Chem. 276, 10000–10009 (2001). · DOI
  11. Scheerer, P. et al. Structural and kinetic modeling of an activating helix switch in the rhodopsin–transducin interface. Proc. Natl Acad. Sci. 106, 10660–10665 (2009). · DOI
  12. Chung, K. Y. et al. Conformational changes in the G protein Gs induced by the β2 adrenergic receptor. Nature 477, 611–615 (2011). · DOI
  13. Gregorio, G. G. et al. Single-molecule analysis of ligand efficacy in β2AR–G-protein activation. Nature 547, 68–73 (2017). · DOI
  14. Okashah, N. et al. Agonist-induced formation of unproductive receptor-G12 complexes. Proc. Natl Acad. Sci. USA 117, 21723–21730 (2020). · DOI
  15. Liu, X. et al. Structural Insights into the process of GPCR–G protein complex formation. Cell 177, 1243–1251.e12 (2019). · DOI
  16. Mahoney, J. P. & Sunahara, R. K. Mechanistic insights into GPCR–G protein interactions. Curr. Opin. Struct. Biol. 41, 247–254 (2016). · DOI
  17. Jang, W., Lu, S., Wu, G. & Lambert, N. A. The role of G protein confirmation in receptor-G protein selectivity. Nat. Chem. Biol. 19, 687–694 (2023). · DOI
  18. Tsutsumi, N. et al. Atypical structural snapshots of human cytomegalovirus GPCR interactions with host G proteins. Sci. Adv. 8, 5442 (2022). · DOI
  19. Huang, S. K. et al. Delineating the conformational landscape of the adenosine A2A receptor during G protein coupling. Cell 184, 1884–1894.e14 (2021). · DOI
  20. Huang, S. K. et al. Mapping the conformation landscape of the stimulatory heterotrimeric G protein. Nat. Struct. Mol. Biol. 30, 502–511 (2023). · DOI
  21. Sadler, F. et al. Autoregulation of GPCR signalling through the third intracellular loop A FRET-based approach to probe ICL3 conformation. Nature 615, 734–741 (2023). · DOI
  22. Fleetwood, O., Carlsson, J. & Delemotte, L. Identification of ligand-specific G protein-coupled receptor states and prediction of downstream efficacy via data-driven modeling. eLife 10, e60715 (2021). · DOI
  23. Panel, N. et al. Design of drug efficacy guided by free energy simulations of the β2-adrenoceptor. Angew. Chem. Int. Ed. Engl. 62, e202218959 (2023). · DOI
  24. Robinson, G. A., Butcher, R. W. & Sutherland, E. W. Cyclic AMP. Ann. Rev. Biochem. 37, 149–174 (1968). · DOI
  25. Haga, T. et al. Adenylate cyclase permanently uncoupled from hormone receptors in a novel variant of S49 mouse lymphoma cells. Proc. Natl Acad. Sci. USA 74, 2016–2020 (1977). · DOI
  26. Manglik, A., Kobilka, B. K. & Steyaert, J. Nanobodies to study G protein-coupled receptor structure and function. Annu. Rev. Pharmacol. Toxicol. 57, 19–37 (2017). · DOI
  27. Conklin, B. R., Farfel, Z., Lustig, K. D., Julius, D. & Bourne, H. R. Substitution of three amino acids switches receptor specificity of Gqα to that of Giα. Nature 363, 274–276 (1993). · DOI
  28. Rose, A. S. et al. Position of transmembrane helix 6 determines receptor G protein coupling specificity. J. Am. Chem. Soc. 136, 11244–11247 (2014). · DOI
  29. Selçuk, B. & Adebali, O. Common and selective signal transduction mechanisms of GPCRs. Prog. Mol. Biol. Transl. Sci. 195, 89–100 (2023). · DOI
  30. Kumar, V. et al. GDP release from the open conformation of Gα requires allosteric signaling from the agonist-bound human β2 adrenergic receptor. J. Chem. Inf. Model. 60, 4064–4075 (2020). · DOI
  31. Hofmann, K. P. et al. A G protein-coupled receptor at work: the rhodopsin model. Trends Biochem. Sci. 34, 540–552 (2009). · DOI · Paper page
  32. Kang, Y. et al. Cryo-EM structure of human rhodopsin bound to an inhibitory G protein. Nature 558, 553–558 (2018). · DOI
  33. de Mars, G., Fanelli, F. & Puett, D. The extreme C-terminal region of Gαs differentially couples to the luteinizing hormone and β2-adrenergic receptors. Mol. Endocrinol. 25, 1416–1430 (2011). · DOI
  34. Semack, A., Sandhu, M., Malik, R. U., Vaidehi, N. & Sivaramakrishnan, S. Structural elements in the Gαs and Gβq C termini that mediate selective G protein-coupled receptor (GPCR) signaling. J. Biol. Chem. 291, 17929–17940 (2016). · DOI
  35. Hamm, H. E. et al. Site of G protein binding to rhodopsin mapped with synthetic peptides from the α subunit. Science 241, 832–835 (1988). · DOI
  36. Itoh, Y., Cai, K. & Khorana, H. G. Mapping of contact sites in complex formation between light-activated rhodopsin and transducin by covalent crosslinking: use of a chemically preactivated reagent. Proc. Natl Acad. Sci. USA 98, 4883–4887 (2001). · DOI
  37. Loewen, M. C. et al. Solution 19F nuclear Overhauser effects in structural studies of the cytoplasmic domain of mammalian rhodopsin. Proc. Natl Acad. Sci. USA 98, 4888–4892 (2001). · DOI
  38. Herrmann, R., Heck, M., Henklein, P., Hofmann, K. P. & Ernst, O. P. Signal transfer from GPCRs to G proteins: role of the Gα N-terminal region in rhodopsin-transducin coupling. J. Biol. Chem. 281, 30234–30241 (2006). · DOI
  39. Natochin, M., Muradov, K. G., McEntaffer, R. L. & Artemyev, N. O. Rhodopsin recognition by mutant Gsα containing C-terminal residues of transducin. J. Biol. Chem. 275, 2669–2675 (2000). · DOI
  40. Blahos, J. et al. Extreme C terminus of G protein α-subunits contains a site that discriminates between Gi-coupled metabotropic glutamate receptors. J. Biol. Chem. 273, 25765–25769 (1998). · DOI
  41. Masuho, I. et al. Distinct profiles of functional discrimination among G proteins determine the actions of G protein-coupled receptors. Sci. Signal. 8, ra123 (2015). · DOI
  42. Schihada, H., Shekhani, R. & Schulte, G. Quantitative assessment of constitutive G protein-coupled receptor activity with BRET-based G protein biosensors. Sci. Signal. 14, 1653 (2021). · DOI
  43. Landis, C. A. et al. GTPase inhibiting mutations activate the α chain of Gs and stimulate adenylyl cyclase in human pituitary tumours. Nature 340, 692–696 (1989). · DOI
  44. Wieland, T., Kreiss, J., Gierschik, P. & Jakobs, K. H. Role of GDP in formyl-peptide-receptor-induced activation of guanine-nucleotide-binding proteins in membranes of HL 60 cells. Eur. J. Biochem. 205, 1201–1206 (1992). · DOI
  45. Sun, X., Singh, S., Blumer, K. J. & Bowman, G. R. Simulation of spontaneous G protein activation reveals a new intermediate driving GDP unbinding. eLife 7, e38465 (2018). · DOI
  46. Hu, Q. & Shokat, K. M. Disease-causing mutations in the G protein Gαs subvert the roles of GDP and GTP. Cell 173, 1254–1264.e11 (2018). · DOI
  47. Dror, R. O. et al. Structural basis for nucleotide exchange in heterotrimeric G proteins. Science 348, 1361–1365 (2015). · DOI
  48. Karl Pearson, F. R. S. LIII. On lines and planes of closest fit to systems of points in space. Philos. Mag. J. Sci. 2, 559–572 (1901). · DOI
  49. Wrigley, C. & Neuhaus, J. O. The use of an electronic computer in principal axes factor analysis. J. Educ. Psychol. 46, 31–41 (1955). · DOI
  50. Ma, X. et al. Analysis of β2AR–Gs and β2AR–Gi complex formation by NMR spectroscopy. Proc. Natl Acad. Sci. 117, 23096–23105 (2020). · DOI
  51. Draper-Joyce, C. J. et al. Structure of the adenosine-bound human adenosine A1 receptor–Gi complex. Nature 558, 559–563 (2018). · DOI
  52. Koehl, A. et al. Structure of the µ-opioid receptor–Gi protein complex. Nature 558, 547–552 (2018). · DOI
  53. Filipek, S. Molecular switches in GPCRs. Curr. Opin. Struct. Biol. 55, 114–120 (2019). · DOI
  54. Huang, W. et al. Structural insights into µ-opioid receptor activation. Nature 524, 315–321 (2015). · DOI
  55. Papasergi-Scott, M. M. et al. Time-resolved cryo-EM of G-protein activation by a GPCR. Nature https://doi.org/10.1038/s41586-024-07153-1 (2024). · DOI
  56. Zhang, B., Zhang, Y., Shacter, E. & Zheng, Y. Mechanism of the guanine nucleotide exchange reaction of Ras GTPase—evidence for a GTP/GDP displacement model. Biochemistry 44, 2566–2576 (2005). · DOI
  57. Vetter, I. R. & Wittinghofer, A. The guanine nucleotide-binding switch in three dimensions. Science 294, 1299–1304 (2001). · DOI · Paper page
  58. Heng, J. et al. Function and dynamics of the intrinsically disordered carboxyl terminus of β2 adrenergic receptor. Nat. Commun. 14, 2005 (2023). · DOI
  59. Rubenstein, R. C., Wong, S. K.-F. & Ross, E. M. The hydrophobic tryptic core of the β-adrenergic receptor retains Gs regulatory activity in response to agonists and thiols. J. Biol. Chem. 262, 16655–16662 (1987). · DOI
  60. Jo, S., Kim, T., Iyer, V. G. & Im, W. CHARMM-GUI: a web-based graphical user interface for CHARMM. J. Comput. Chem. 29, 1859–1865 (2008). · DOI · Paper page
  61. Dror, R. O. et al. Identification of two distinct inactive conformations of the β2-adrenergic receptor reconciles structural and biochemical observations. Proc. Natl Acad. Sci. USA 106, 4689–4694 (2009). · DOI
  62. Jorgensen, W. L., Chandrasekhar, J., Madura, J. D., Impey, R. W. & Klein, M. L. Comparison of simple potential functions for simulating liquid water. J. Chem. Phys. 79, 926–935 (1983). · DOI
  63. Klauda, J. B. et al. Update of the CHARMM all-atom additive force field for lipids: validation on six lipid types. J. Phys. Chem. B 114, 7830–7843 (2010). · DOI
  64. Huang, J. et al. CHARMM36m: an improved force field for folded and intrinsically disordered proteins. Nat. Methods 14, 71–73 (2016). · DOI
  65. Vanommeslaeghe, K. et al. CHARMM general force field: a force field for drug-like molecules compatible with the CHARMM all-atom additive biological force fields. J. Comput. Chem. 31, 671–690 (2010). · DOI
  66. Abraham, M. J. et al. GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers. SoftwareX 1–2, 19–25 (2015). · DOI · Paper page
  67. Pérez-Hernández, G. & Hildebrand, P. W. mdciao: accessible analysis and visualization of molecular dynamics simulation data. Preprint at bioRxiv https://doi.org/10.1101/2022.07.15.500163 (2022). · DOI
  68. Humphrey, W., Dalke, A. & Schulten, K. VMD: visual molecular dynamics. J. Mol. Graph. 14, 33–38 (1996). · DOI · Paper page
  69. Rose, A. S. & Hildebrand, P. W. NGL viewer: a web application for molecular visualization. Nucleic Acids Res. 43, W576 (2015). · DOI · Paper page
  70. Tiemann, J. K. S., Guixà-González, R., Hildebrand, P. W. & Rose, A. S. MDsrv: viewing and sharing molecular dynamics simulations on the web. Nat. Methods 14, 1123–1124 (2017). · DOI
  71. Bussi, G., Donadio, D. & Parrinello, M. Canonical sampling through velocity rescaling. J. Chem. Phys. 126, 014101 (2007). · DOI
  72. Parrinello, M. & Rahman, A. Polymorphic transitions in single crystals: a new molecular dynamics method. J. Appl. Phys. 52, 7182–7190 (1981). · DOI
  73. Darden, T., York, D. & Pedersen, L. Particle mesh Ewald: an N·log(N) method for Ewald sums in large systems. J. Chem. Phys. 98, 10089–10092 (1993). · DOI
  74. Hess, B., Bekker, H., Berendsen, H. J. C. & Fraaije, J. G. E. M. LINCS: a linear constraint solver for molecular simulations. J. Comput. Chem. 18, 1463–1472 (1997). · DOI
  75. McGibbon, R. T. et al. MDTraj: a modern open library for the analysis of molecular dynamics trajectories. Biophys. J. 109, 1528–1532 (2015). · DOI
  76. Scherer, M. K. et al. PyEMMA 2: a software package for estimation, validation, and analysis of Markov models. J. Chem. Theory Comput. 11, 5525–5542 (2015). · DOI
  77. d’Errico, M., Facco, E., Laio, A. & Rodriguez, A. Automatic topography of high-dimensional data sets by non-parametric density peak clustering. Inform. Sci. 560, 476–492 (2021). · DOI
  78. Kästner, J. Umbrella sampling. Wiley Interdiscip. Rev. Comput. Mol. Sci. 1, 932–942 (2011). · DOI
  79. Kumar, S., Rosenberg, J. M., Bouzida, D., Swendsen, R. H. & Kollman, P. A. THE weighted histogram analysis method for free-energy calculations on biomolecules. I. The method. J. Comput. Chem. 13, 1011–1021 (1992). · DOI · Paper page
  80. Isralewitz, B., Gao, M. & Schulten, K. Steered molecular dynamics and mechanical functions of proteins. Curr. Opin. Struct. Biol. 11, 224–230 (2001). · DOI
  81. Jones, E. M. et al. Structural and functional characterization of G protein-coupled receptors with deep mutational scanning. eLife 9, e54895 (2020). · DOI · Paper page
  82. Gaiser, B. I. et al. Probing the existence of a metastable binding site at the β2-adrenergic receptor with homobivalent bitopic ligands. J. Med. Chem. 62, 7806–7839 (2019). · DOI
  83. Hilger, D. et al. Structural insights into differences in G protein activation by family A and family B GPCRs. Science 369, eaba3373 (2020). · DOI
  84. Cahill, T. J. et al. Distinct conformations of GPCR–β-arrestin complexes mediate desensitization, signaling, and endocytosis. Proc. Natl Acad. Sci. USA 114, 2562–2567 (2017). · DOI
  85. Mathiesen, J. M., Vedel, L. & Bräuner-Osborne, H. cAMP biosensors applied in molecular pharmacological studies of G protein-coupled receptors. Methods Enzymol. 522, 191–207 (2013). · DOI
  86. Pándy-Szekeres, G. et al. GPCRdb in 2018: adding GPCR structure models and ligands. Nucleic Acids Res. 46, D440–D446 (2018). · DOI
  87. Ballesteros, J. A. & Weinstein, H. Integrated methods for the construction of three-dimensional models and computational probing of structure-function relations in G protein-coupled receptors. Methods Neurosci. https://doi.org/10.1016/S1043-9471(05)80049-7 (1995). · DOI
  88. Kooistra, A. J. et al. GPCRdb in 2021: integrating GPCR sequence, structure and function. Nucleic Acids Res. https://doi.org/10.1093/nar/gkaa1080 (2021). · DOI · Paper page

Metadata

Authors
Batebi, H., Pérez-Hernández, G., Rahman, S. N., Lan, B., Kamprad, A., Shi, M., Speck, D., Tiemann, J. K. S., Guixà-González, R., Reinhardt, F., Stadler, P. F., Papasergi-Scott, M. M., Skiniotis, G., Scheerer, P., Kobilka, B. K., Mathiesen, J. M., Liu, X., & Hildebrand, P. W.
Affiliations
  • Freie Universität Berlin (DE)
  • University of Copenhagen (DK)
  • Center for Life Sciences (CN)
  • Humboldt-Universität zu Berlin (DE)
  • Novozymes (Denmark) (DK)
  • Leipzig University (DE)
  • Stanford Medicine (US)
Corresponding author
Hildebrand, Peter W.
Venue
Nature Structural & Molecular Biology
Published
2024-06-12
Volume
31
Issue
11
Pages
1692-1701
ISSN
  • 1545-9985 (ISSN-L)
  • 1545-9993
OpenAlex
W4399586164
Cited by
38
References
3
Citations by year
2026: 17 · 2025: 16 · 2024: 5
FWCI
5.17
Type
journal article
Language
en
Open access
Locations
  • Nature Structural & Molecular Biology (publishedVersion)
  • Research Square (acceptedVersion, cc-by)
  • PubMed (publishedVersion)
  • Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
  • PubMed Central (acceptedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, other-oa)
Funders
  • Philipps-Universität Marburg
  • Santa Fe Institute
  • European Commission (HORIZON2020, 956314)
  • Friedrich-Alexander-Universität Erlangen-Nürnberg (440719683)
  • Deutsche Forschungsgemeinschaft (390540038, EXC 2008/1390540038, subproject A01, EXC 2008/1, SFB1078, CRC 1423, subproject C01, 440719683, CRC 1078, 421152132, 221545957)
  • National Natural Science Foundation of China (32122041)
  • Universidad Nacional de Colombia
  • Universität Wien
  • Tsinghua University
  • Stiftung Charité
  • Berlin Institute of Health
  • National Institutes of Health
  • National Heart, Lung, and Blood Institute (K99HL161406)
  • National Institute of Neurological Disorders and Stroke (R01NS028471, R35NS137408)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Receptor Mechanisms and Signaling
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
Keywords
G protein coupling, G protein-coupled receptors, Gs protein, GDP release, guanine nucleotide exchange, beta2-adrenergic receptor, allosteric communication, nucleotide binding site, signal transduction
MeSH terms
Allosteric Regulation, Binding Sites, Guanosine Diphosphate, Humans, Protein Binding, Protein Conformation, Signal Transduction, Receptors, Adrenergic, beta-2, GTP-Binding Protein alpha Subunits, Gs, Molecular Dynamics Simulation

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