Predicting the response of olfactory sensory neurons to odor mixtures from single odor response
| Autor: | Michele Migliore, Addolorata Marasco, Alessandro De Paris |
|---|---|
| Přispěvatelé: | Marasco, Addolorata, DE PARIS, Alessandro, Migliore, Michele |
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Sensory system Models Biological Olfactory Receptor Neurons Article 03 medical and health sciences 0302 clinical medicine Odor receptor medicine Multidisciplinary Olfactory receptor BULB Chemistry Extramural musculoskeletal neural and ocular physiology Reproducibility of Results Anatomy Sensory neuron 030104 developmental biology medicine.anatomical_structure Odor Odorants Neuroscience psychological phenomena and processes 030217 neurology & neurosurgery RECEPTOR NEURON |
| Zdroj: | Scientific Reports Scientific reports (Nature Publishing Group) 6 (2016). doi:10.1038/srep24091 info:cnr-pdr/source/autori:Marasco A, De Paris A, Migliore M/titolo:Predicting the response of olfactory sensory neurons to odor mixtures from single odor response/doi:10.1038%2Fsrep24091/rivista:Scientific reports (Nature Publishing Group)/anno:2016/pagina_da:/pagina_a:/intervallo_pagine:/volume:6 |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/srep24091 |
| Popis: | The response of olfactory receptor neurons to odor mixtures is not well understood. Here, using experimental constraints, we investigate the mathematical structure of the odor response space and its consequences. The analysis suggests that the odor response space is 3-dimensional, and predicts that the dose-response curve of an odor receptor can be obtained, in most cases, from three primary components with specific properties. This opens the way to an objective procedure to obtain specific olfactory receptor responses by manipulating mixtures in a mathematically predictable manner. This result is general and applies, independently of the number of odor components, to any olfactory sensory neuron type with a response curve that can be represented as a sigmoidal function of the odor concentration. |
| Databáze: | OpenAIRE |
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