Raw experimental Data on a Combined Computational and Experimental Approach for Investigating µ-opioid - Cannabinoid CB1 Receptor Heterodimerization

Baiula, Monica ; Bedini, Andrea (2026) Raw experimental Data on a Combined Computational and Experimental Approach for Investigating µ-opioid - Cannabinoid CB1 Receptor Heterodimerization. University of Bologna. DOI 10.6092/unibo/amsacta/8974. [Dataset]
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Abstract

G protein-coupled receptors (GPCRs) regulate numerous physiological processes and are key therapeutic targets. While class A GPCRs can function as monomers, evidence suggests they can also form dimers or higher-order oligomers, potentially influencing their function. The mu-opioid (MOR) and cannabinoid CB1 receptors, both involved in pain signaling, have been suggested to interact. Thus, we investigated the dimerization between MOR and CB1 receptors through CG MD simulations and we identified key contacts at the interfaces and analyzed mutations at these residues with confocal microscopy and cAMP accumulation assays. This dataset provides raw data underlying the confocal microscope analysis, cAMP ELISA assays, and flow cytometry experiments described in the associated manuscript. Data were generated within the framework of Horizon 2020 project “QSPainRelief” and are presented as seven spreadsheets.

Abstract
Tipologia del documento
Dataset
Autori
AutoreORCIDAffiliazioneROR
Baiula, Monica0000-0003-0363-0633Dept. Pharmacy and Biotechnology, University of Bologna01111rn36
Bedini, Andrea0000-0001-9607-9195Dept. Pharmacy and Biotechnology, University of Bologna01111rn36
Parole chiave
pain; MOR; CB1; heterodimerization
Settori scientifico-disciplinari
DOI
Contributors
Contributor
ORCID
Tipo
Affiliazione
ROR
Baiula, Monica
Contact person
Dept. Pharmacy and Biotechnology, University of Bologna
Data di deposito
17 Lug 2026 10:58
Ultima modifica
17 Lug 2026 10:58
Nome del Progetto
QSPainRelief - Effective combinational treatment of chronic pain in individual patients, by an innovative quantitative systems pharmacology pain relief approach.
Programma di finanziamento
EC - H2020
URI

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