G protein-coupled receptors (GPCRs) control critical cell signaling. Their response to extracellular stimuli involves conformational changes to convey signals to intracellular effectors, among which the most important are G proteins and β-arrestins (βArrs). Biased activation of one pathway is a field of intense research in GPCR pharmacology. Combining NMR, site-directed mutagenesis, molecular pharmacology, and molecular dynamics (MD) simulations, we studied the conformational diversity of the vasopressin V2 receptor (V2R) bound to different types of ligands: the antagonist Tolvaptan, the endogenous unbiased agonist arginine-vasopressin, and MCF14, a partial Gs protein-biased agonist. A double-labeling NMR scheme was developed to study the receptor conformational changes and ligand binding: V2R was subjected to lysine (13)CH(3) methylation for complementary NMR studies, whereas the agonists were tagged with a paramagnetic probe. Paramagnetic relaxation enhancements and site-directed mutagenesis validated the ligand binding modes in the MD simulations. We found that the bias for the Gs protein over the βArr pathway involves interactions between the conserved NPxxY motif in the transmembrane helix 7 (TM7) and TM3, compacting helix 8 (H8) toward TM1 and likely inhibiting βArr signaling. A similar mechanism was elicited for the pathogenic mutation I130N, which constitutively activates the Gs proteins without concomitant βArr recruitment. The findings suggest common patterns of biased signaling in class A GPCRs, as well as a rationale for the design of G protein-biased V2R agonists.
Biased activation of the vasopressin V2 receptor probed by molecular dynamics simulations, NMR and pharmacological studies.
通过分子动力学模拟、核磁共振和药理学研究探究加压素 V2 受体的偏向性激活
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作者:Fouillen Aurélien, Couvineau Pierre, Gaibelet Gérald, Riché Stéphanie, Orcel Hélène, Mendre Christiane, Kanso Ali, Lanotte Romain, Nguyen Julie, Dimon Juliette, Urbach Serge, Sounier Rémy, Granier Sébastien, Bonnet Dominique, Cong Xiaojing, Mouillac Bernard, Déméné Hélène
| 期刊: | Computational and Structural Biotechnology Journal | 影响因子: | 4.100 |
| 时间: | 2024 | 起止号: | 2024 Oct 24; 23:3784-3799 |
| doi: | 10.1016/j.csbj.2024.10.039 | ||
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