Published October 14, 2024
| Version v1
Journal article
A status report on human odorant Receptors and their allocated agonists
Contributors
Others:
- Institut de Chimie de Nice (ICN) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Institut de Chimie - CNRS Chimie (INC-CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)
- Expressions Parfumées, 136 chemin de St Marc, 06130 Grasse
- Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL) ; Université Claude Bernard Lyon 1 (UCBL) ; Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
- Université Côte d'Azur (UniCA)
- Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA) ; Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE)-Institut Agro Dijon ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Description
Olfactory perception begins when odorous substances interact with specialized receptors located on the surface of dedicated sensory neurons. The recognition of smells depends on a complex mechanism involving a combination of interactions between an odorant and a set of odorant receptors (ORs), where molecules are recognized according to a combinatorial activation code of ORs. Although these interactions have been studied for decades, the rules governing this ligand recognition remain poorly understood, and the complete combinatorial code is only known for a handful of odorants. We have carefully analyzed experimental results regarding the interactions between ORs and molecules to provide a status report on the deorphanization of ORs, i.e., the identification of the first agonist for a given sequence. This meticulous analysis highlights the influence of experimental methodology (cell line or readout) on molecule-receptor association results and shows that 83% of the results are conserved regardless of experimental conditions. The distribution of another key parameter, EC50, indicates that most OR ligands activities are in the micromolar range and that impurities could lead to erroneous conclusions. Focusing on the human ORs, our study shows that 88% of the documented sequences still need to be deorphanized. Finally, we also estimate the size of the ORs' recognition range, or broadness, as the number of odorants activating a given OR. By analogously estimating molecular broadness and combining the two estimates we propose a basic framework that can serve as a comparison point for future machine learning algorithms predicting OR-molecule activity.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://hal.inrae.fr/hal-04754232
- URN
- urn:oai:HAL:hal-04754232v1
Origin repository
- Origin repository
- UNICA