Evidence map›Paper›PMID 41027018›Full record

ArticleChemical senses2025

Distinct odorant receptor response patterns to aliphatic odorants in freely behaving mice.

Claire A de March, Patrick Breheny, William B Titlow, Hiroaki Matsunami, Timothy S McClintock

Abstract read
In one paragraph

Article in Chemical senses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Claire A de MarchInstitut de Chimie des Substances Naturelles, UPR2301 CNRS, Université Paris-Saclay, Gif-sur-Yvette, France.ORCID 0000-0001-6461-5547
Patrick BrehenyDepartment of Biostatistics, University of Iowa, Iowa City, IA 52242, United States.ORCID 0000-0002-0650-1119
William B TitlowDepartment of Physiology, University of Kentucky, Lexington, KY 40536, United States.
Hiroaki MatsunamiDepartment of Molecular Genetics and Microbiology, Duke University, Durham, NC, United States.ORCID 0000-0002-8850-2608
Timothy S McClintockDepartment of Physiology, University of Kentucky, Lexington, KY 40536, United States.ORCID 0000-0002-4243-5323

Funding

Enhancing olfactory receptor expression for biochemical studies of odorant-receptor interactionsR01DC020353 · NIDCD · DUKE UNIVERSITY · PI Aashish Manglik, Hiroaki Matsunami · 2022 to 2026
$3.3M
In vivo patterns of receptor activation by odorantsR01DC014468 · NIDCD · UNIVERSITY OF KENTUCKY · PI MCCLINTOCK, TIMOTHY S · 2016 to 2020
$2.4M
Understanding of G protein-coupled odorant receptors functionK99DC018333 · NIDCD · DUKE UNIVERSITY · PI DE MARCH, CLAIRE A. · 2020 to 2021
$172k
National Science Foundation 2014217NIDCD NIH HHS K99 DC018333NIDCD NIH HHS R01 DC014468NIDCD NIH HHS R01 DC020353NIH HHS K99DC018333NIH HHS R01DC014468NIH HHS R01DC020353
6 · The paper itself

Abstract

In mammals, odors are encoded by a combinatorial code determined by the pattern of responses across hundreds of odorant receptors expressed monogenically and monoallelically in olfactory sensory neurons. The compositions of these receptor response patterns are largely unknown and overlap between them has yet to be explored. Activity-dependent reporter gene expression in freely behaving S100a5-tauGFP mice allowed capture of activated olfactory sensory neurons and identified 168 receptors responsive to moderate concentrations of 1 or more of 12 aliphatic (5 to 8 carbons) ketones, alcohols, and carboxylic acids. These 12 response patterns are remarkably different, with only 19% of the receptors responding to more than 1 of these odorants. This distinctiveness corresponds with the ease of discrimination of these odorants and may help maintain perceptual constancy in the face of response pattern variability, such as across odorant concentrations. This set of 168 receptors is not specific to aliphatic odorants but instead has 16% overlap with the receptors responsive to 7 odors tested previously in vivo, consistent with a receptor repertoire evolved to produce combinatorial codes. Aliphatic odorant response pattern similarity depends more upon odorant functional group than carbon chain length but the impact of chain length increases with the number of carbons. The response patterns to these aliphatic odorants are mostly composed of unrelated receptors, except some patterns contain minor subsets of closely related receptors. These findings argue that the major selective forces driving OR evolution are expansion of the odorant receptor gene family and the production of distinct response patterns.

Indexed as

OdorantsOlfactory Receptor NeuronsReceptors, OdorantAlcoholsAnimalsCarboxylic AcidsKetonesMaleMiceMice, Inbred C57BLAlcoholsCarboxylic AcidsKetonesReceptors, Odorantolfactionperceptionreceptorsensorysensory codingsmell

Identifiers

PMID41027018
PMCPMC12527250

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.