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Vapor detection and discrimination with a panel of odorant receptors

Author

Listed:
  • Hitoshi Kida

    (Duke University Medical Center
    Tokyo University of Agriculture and Technology)

  • Yosuke Fukutani

    (Duke University Medical Center
    Tokyo University of Agriculture and Technology)

  • Joel D. Mainland

    (Duke University Medical Center
    Monell Chemical Senses Center
    Department of Neuroscience, University of Pennsylvania)

  • Claire A. March

    (Duke University Medical Center)

  • Aashutosh Vihani

    (Duke University Medical Center
    Duke University Medical Center)

  • Yun Rose Li

    (Duke University Medical Center
    University of California San Francisco)

  • 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
    Tokyo University of Agriculture and Technology)

  • Masafumi Yohda

    (Tokyo University of Agriculture and Technology
    Tokyo University of Agriculture and Technology)

  • Hiroaki Matsunami

    (Duke University Medical Center
    Duke University Medical Center
    Tokyo University of Agriculture and Technology
    Duke University)

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.

Suggested Citation

  • 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 & Hiroaki Matsunami, 2018. "Vapor detection and discrimination with a panel of odorant receptors," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06806-w
    DOI: 10.1038/s41467-018-06806-w
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