ArticleChemical senses2013
Interactions of odorants with olfactory receptors and other preprocessing mechanisms: how complex and difficult to predict?
Article in Chemical senses, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- A closer look at sex pheromone autodetection in the Oriental fruit moth.Scientific reports · 2022Article
- Understanding responses to chemical mixtures: looking forward from the past.Chemical senses · 2022Article
- A physicochemical model of odor sampling.PLoS computational biology · 2021Article
- Development of a Korean Culture-Friendly Olfactory Function Test and Optimization of a Diagnostic Cutoff Value.Clinical and experimental otorhinolaryngology · 2020Article
- Rapid online learning and robust recall in a neuromorphic olfactory circuit.Nature machine intelligence · 2020Article
- Beverage and Food Fragrance Biotechnology, Novel Applications, Sensory and Sensor Techniques: An Overview.Foods (Basel, Switzerland) · 2019Review
- Responsiveness to Sugar Solutions in the MothFrontiers in physiology · 2019Article
- Take time: odor coding capacity across sensory neurons increases over time in Drosophila.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2017Article
- Odorant receptors of Drosophila are sensitive to the molecular volume of odorants.Scientific reports · 2016Article
- Characterizing olfactory binary mixture interactions in Fischer 344 rats using behavioral reaction times.Chemical senses · 2015Article
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Abstract
In this issue of Chemical Senses, Münch et al. present a thorough analysis of how mixtures of odorants interact with olfactory receptors (ORs) borne by olfactory receptor neurons (ORNs). Using fruit fly ORNs expressing the receptor OR22a, they provide a clear example of mixture interaction and confirm that the response of an ORN to a binary mixture can be sometimes predicted quantitatively knowing the ORN responses to its components as shown previously in rat ORNs. The prediction is based on a nonlinear model that assumes a classical 2-step activation of the OR and competition of the 2 odorants in the mixture for the same binding site. Can this success be generalized to all odorant-receptor pairs? This would be an encouraging perspective, especially for the fragrance and flavor industries, as it would permit the prediction of all mixtures. To address this question, I outline its conceptual framework and discuss the variety of mixture interactions found so far. In accordance with the effects described in the study of other receptors, several kinds of mixture interactions have been found that are not easily predictable. The relative importance of the predictable and less predictable effects thus appears as a major issue for future developments.
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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.