Vapor detection and discrimination with a panel of odorant receptors

Hitoshi Kida, Yosuke Fukutani, Joel D. Mainland, Claire A. March, Aashutosh Vihani, Yun Rose Li, Qiuyi Chi, Akemi Toyama, Linda Liu, Masaharu Kameda, Masafumi Yohda and Hiroaki Matsunami ()
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Hitoshi Kida: Duke University Medical Center
Yosuke Fukutani: Duke University Medical Center
Joel D. Mainland: Duke University Medical Center
Claire A. March: Duke University Medical Center
Aashutosh Vihani: Duke University Medical Center
Yun Rose Li: Duke University Medical Center
Qiuyi Chi: Duke University Medical Center
Akemi Toyama: Duke University Medical Center
Linda Liu: Duke University Medical Center
Masaharu Kameda: Tokyo University of Agriculture and Technology
Masafumi Yohda: Tokyo University of Agriculture and Technology
Hiroaki Matsunami: Duke University Medical Center

Nature Communications, 2018, vol. 9, issue 1, 1-10

Abstract: Abstract Olfactory systems have evolved the extraordinary capability to detect and discriminate volatile odorous molecules (odorants) in the environment. Fundamentally, this process relies on the interaction of odorants and their cognate olfactory receptors (ORs) encoded in the genome. Here, we conducted a cell-based screen using over 800 mouse ORs against seven odorants, resulting in the identification of a set of high-affinity and/or broadly-tuned ORs. We then test whether heterologously expressed ORs respond to odors presented in vapor phase by individually expressing 31 ORs to measure cAMP responses against vapor phase odor stimulation. Comparison of response profiles demonstrates this platform is capable of discriminating between structural analogs. Lastly, co-expression of carboxyl esterase Ces1d expressed in olfactory mucosa resulted in marked changes in activation of specific odorant-OR combinations. Altogether, these results establish a cell-based volatile odor detection and discrimination platform and form the basis for an OR-based volatile odor sensor.

Date: 2018
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DOI: 10.1038/s41467-018-06806-w

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