ArticleChemical senses2020
Mixture and concentration effects on odorant receptor response patterns in vivo.
Article in Chemical senses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
12 citing papers in PubMed, 28 citations in OpenAlex.
- Artificial Intelligence-Enabled Ingredient Substitution in Food Systems: A Review and Conceptual Framework for Sensory, Functional, Nutritional, and Cultural Optimization.Foods (Basel, Switzerland) · 2025Review
- Distinct odorant receptor response patterns to aliphatic odorants in freely behaving mice.Chemical senses · 2025Article
- A study of the effects of olfactory stimulus duration and concentration on sleep arousal under fatigue driving.Frontiers in psychology · 2025Article
- Identification of Olfactory Receptors Responding to Androstenone and the Key Structure Determinant in Domestic Pig.Current issues in molecular biology · 2024Article
- Deciphering olfactory receptor binding mechanisms: a structural and dynamic perspective on olfactory receptors.Frontiers in molecular biosciences · 2024Review
- More than meets the AI: The possibilities and limits of machine learning in olfaction.Frontiers in neuroscience · 2022Review
- A physicochemical model of odor sampling.PLoS computational biology · 2021Article
- Odor coding in the mammalian olfactory epithelium.Cell and tissue research · 2021Review
- Inhibitory signaling in mammalian olfactory transduction potentially mediated by GαMolecular and cellular neurosciences · 2021Article
- Position Review: Functional Selectivity in Mammalian Olfactory Receptors.Chemical senses · 2020Review
- Encoding the Odor of Cigarette Smoke.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Exploring the Characteristics of an Aroma-Blending Mixture by Investigating the Network of Shared Odors and the Molecular Features of Their Related Odorants.Molecules (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Natural odors are mixtures of volatile chemicals (odorants). Odors are encoded as responses of distinct subsets of the hundreds of odorant receptors and trace amine-associated receptors expressed monogenically by olfactory sensory neurons. This is an elegantly simple mechanism for differentially encoding odors but it is susceptible to complex dose-response relationships and interactions between odorants at receptors, which may help explain olfactory phenomena such as mixture suppression, synthetic versus elemental odor processing, and poorly predictable perceptual outcomes of new odor mixtures. In this study in vivo tests in freely behaving mice confirm evidence of a characteristic receptor response pattern consisting of a few receptors with strong responses and a greater number of weakly responding receptors. Odorant receptors responsive to an odor are often unrelated and widely divergent in sequence, even when the odor consists of a single species of odorant. Odorant receptor response patterns to a citrus odor broaden with concentration. Some highly sensitive receptors respond only to a low concentration but others respond in proportion to concentration, a feature that may be critical for concentration-invariant perception. Other tests find evidence of interactions between odorants in vivo. All of the odorant receptor responses to a moderate concentration of the fecal malodor indole are suppressed by a high concentration of the floral odorant, α-ionone. Such suppressive effects are consistent with prior evidence that odorant interactions at individual odorant receptors are common.
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Registered trials
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.