Ir directamente a la navegación principal Ir directamente a la búsqueda Ir directamente al contenido principal

Encoding the odor of cigarette smoke

Producción científica: Articlerevisión exhaustiva

10 Citas (Scopus)

Resumen

The encoding of odors is believed to begin as a combinatorial code consisting of distinct patterns of responses from odorant receptors (ORs), trace-amine associated receptors (TAARs), or both. To determine how specific response patterns arise requires detecting patterns in vivo and understanding how the components of an odor, which are nearly always mixtures of odorants, give rise to parts of the pattern. Cigarette smoke, a common and clinically relevant odor consisting of .400 odorants, evokes responses from 144 ORs and 3 TAARs in freely behaving male and female mice, the first example of in vivo responses of both ORs and TAARs to an odor. As expected, a simplified artificial mimic of cigarette smoke odor tested at low concentration to identify highly sensitive receptors evokes responses from four ORs, all also responsive to cigarette smoke. Human subjects of either sex identify 1-pentanethiol as the odorant most critical for perception of the artificial mimic; and in mice the OR response patterns to these two odors are significantly similar. Fifty-eight ORs respond to the headspace above 25% 1-pentanethiol, including 9 ORs responsive to cigarette smoke. The response patterns to both cigarette smoke and 1-pentanethiol have strongly responsive ORs spread widely across OR sequence diversity, consistent with most other combinatorial codes previously measured in vivo. The encoding of cigarette smoke is accomplished by a broad receptor response pattern, and 1-pentanethiol is responsible for a small subset of the responsive ORs in this combinatorial code.

Idioma originalEnglish
Páginas (desde-hasta)7043-7053
Número de páginas11
PublicaciónJournal of Neuroscience
Volumen40
N.º37
DOI
EstadoPublished - sept 9 2020

Nota bibliográfica

Publisher Copyright:
Copyright © 2020 the authors

Financiación

Received May 11, 2020; revised July 23, 2020; accepted Aug. 9, 2020. Author contributions: T.S.M., D.Y.H., and P.B. designed research; T.S.M., N.K., Y.A., and M.A. performed research; T.S.M. and P.B. analyzed data; T.S.M. wrote the paper; D.Y.H. and P.B. edited the paper. This work was supported by National Institutes of Health R01DC014423; University of Kentucky Vice President for Research IRC program award to T.S.M. T.S.M. has an equity interest in a company based on technologies used to measure responses to odors. The remaining authors declare no competing financial interests. Correspondence should be addressed to Timothy S. McClintock at [email protected]. https://doi.org/10.1523/JNEUROSCI.1144-20.2020 Copyright © 2020 the authors

FinanciadoresNúmero del financiador
University of Kentucky Vice President for Research IRC
National Institutes of Health (NIH)
National Institute on Deafness and Other Communication DisordersR01DC014423
National Institute on Deafness and Other Communication Disorders

    ASJC Scopus subject areas

    • General Neuroscience

    Huella

    Profundice en los temas de investigación de 'Encoding the odor of cigarette smoke'. En conjunto forman una huella única.

    Citar esto