An engineered nanobody inhibitor for molecular-to-circuit control of opioid receptor function
Year: 2026
Type: preprint
Abstract: Opioid receptors (ORs) orchestrate pain relief, reward, and dependence, yet their signaling arises from diverse cell types and subcellular compartments that cannot be selectively interrogated with existing pharmacological or genetic approaches. Single-domain antibodies, or nanobodies (Nbs), can probe receptor states, but their potential as tools for controlling native receptor signaling at the system level has remained unexplored. Here, we engineer a suite of high-affinity intracellular Nbs that bind active ORs through structure-guided evolution and in silico design. Iterative optimization yields Nb64, a potent inhibitor that rapidly suppresses transducer engagement, receptor internalization, and downstream signaling, including endogenous pathways in neuronal cells. Organelle targeting highlights Nb64's capacity to control OR activity with subcellular precision, while bio-reversible cell-penetrating peptide (CPP) conjugation enables non-genetic cytosolic delivery. Cell-type-specific expression of Nb64 in VTA interneurons attenuates fentanyl-levoked dopamine release and behavioral responses in mice, demonstrating targeted control of opioid actions in vivo. Nb64 provides a versatile strategy for dissecting OR biology and establishes a generalizable framework for precision inhibition of native GPCR signaling in vivo.
Authors: Zoé Valbret, Paul J. Lamothe-Molina, Sofia Papadogkonaki, Antoine Koehl, Jan Vincent V. Arafiles, Ziva Shapiro Tuchman, Nicole M. Fisher, Arthur Radoux-Mergault, Annika Canziani, Gaoyang Huang, Mark von Zastrow, Mickey Kosloff, Christian P. R. Hackenberger, Aashish Manglik, Tommaso Patriarchi, Miriam Stoeber
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Awards: Mechanisms Underlying Subcellular Location Bias of Opioid Receptor Signaling, G2138814873, Precision pharmacology by local control of opioid receptors in neural circuits, G434337789, RESILIENCE AND STABILITY IN DEVELOPING TOOLS FOR SUSTAINABLE FOREST MANAGEMENT AND RESTORATION, Engineering biosensors for drug profiling across systems, G6272970488, G880118091
OpenAlex ID: W7124159658
