bioRxivBiophysicsPreprint
Hydration Network Drives Activation and G Protein Selectivity in GPR174
Yingjun Dong, Kun XiiD, Zhang Ya-zhiiD, Jian-Heng Xue, Dan-dan Shen, Shao-Kun Zang, Ruozhu Zhao, Hai QiiD, Chunyou MaoiD, Wei-Wei WangiD, Yan ZhangiD
Abstract
G protein-coupled receptor 174 (GPR174), a key modulator of autoimmune responses, maintains immune homeostasis through distinct G protein signaling pathways, particularly Gs and Gi. Although the structural mechanism of lysophosphatidylserine (LysoPS)-activated GPR174 in the Gs pathway has been characterized, how hydration-mediated interactions influence GPR174 activation and signaling selectivity remains unclear. Here, we determined high-resolution cryo-electron microscopy (cryo-EM) structures of LysoPS-activated GPR174 bound to Gs (2.0 [A]) and Gi (3.4 [A]), revealing a continuous hydration-mediated signaling transduction network that bridges the sodium-binding pocket, NPxxY and DRY motifs, and the G protein-binding interface. This network stabilizes the active-state conformation of GPR174 and dynamically reshapes the intracellular cavity, thereby enabling differential engagement of Gs and Gi. Molecular dynamics simulations and functional assays demonstrated that the hydration network is essential for receptor activation and selectively modulates G protein coupling. To evaluate its conservation, we performed sequence alignment and structural analysis across class A GPCRs, defining three hydration cavities: the conserved water cavity (CWC), the junction water cavity (JWC), and the extended water cavity (EWC), whose hydration is determined by residue properties at position 5.58. Together, our study reveals a hydration-driven molecular mechanism that underlies the activation of GPR174 and its dual G protein selectivity. These findings advance the understanding of hydration-mediated signaling in GPR174 and provide a framework for investigating water-mediated regulation across class A GPCRs.
- organism: human
- assay: cryo-EM
- research focus: cell signaling & trafficking
- approach: experimental assay
- approach: statistical model
- Citations
- 0
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