Literature DB >> 32061665

Modulation of the combinatorial code of odorant receptor response patterns in odorant mixtures.

Claire A de March1, William B Titlow2, Tomoko Sengoku2, Patrick Breheny3, Hiroaki Matsunami4, Timothy S McClintock5.   

Abstract

The perception of odors relies on combinatorial codes consisting of odorant receptor (OR) response patterns to encode odor identity. Modulation of these patterns by odorant interactions at ORs potentially explains several olfactory phenomena: mixture suppression, unpredictable sensory outcomes, and the perception of odorant mixtures as unique objects. We determined OR response patterns to 4 odorants and 3 binary mixtures in vivo in mice, identifying 30 responsive ORs. These patterns typically had a few strongly responsive ORs and a greater number of weakly responsive ORs. ORs responsive to an odorant were often unrelated sequences distributed across several OR subfamilies. Mixture responses predicted pharmacological interactions between odorants, which were tested in vitro by heterologous expression of ORs in cultured cells, providing independent evidence confirming odorant agonists for 13 ORs and identifying both suppressive and additive effects. This included 11 instances of antagonism of ORs by an odorant, 1 instance of additive responses to a binary mixture, 1 instance of suppression of a strong agonist by a weak agonist, and the discovery of an inverse agonist for an OR. Interactions between odorants at ORs are common even when the odorants are not known to interact perceptually in humans, and in some cases interactions at mouse ORs correlate with the ability of humans to perceive an odorant in a mixture.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  G protein-coupled receptors; Olfaction; Olfactory coding; Olfactory sensory neurons

Mesh:

Substances:

Year:  2020        PMID: 32061665      PMCID: PMC7138139          DOI: 10.1016/j.mcn.2020.103469

Source DB:  PubMed          Journal:  Mol Cell Neurosci        ISSN: 1044-7431            Impact factor:   4.314


  58 in total

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