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      Hierarchical Elemental Odor Coding for Fine Discrimination Between Enantiomer Odors or Cancer-Characteristic Odors

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          Abstract

          Odors trigger various emotional responses such as fear of predator odors, aversion to disease or cancer odors, attraction to male/female odors, and appetitive behavior to delicious food odors. Odor information processing for fine odor discrimination, however, has remained difficult to address. The olfaction and color vision share common features that G protein-coupled receptors are the remote sensors. As different orange colors can be discriminated by distinct intensity ratios of elemental colors, such as yellow and red, odors are likely perceived as multiple elemental odors hierarchically that the intensities of elemental odors are in order of dominance. For example, in a mixture of rose and fox-unique predator odors, robust rose odor alleviates the fear of mice to predator odors. Moreover, although occult blood odor is stronger than bladder cancer-characteristic odor in urine samples, sniffer mice can discriminate bladder cancer odor in occult blood-positive urine samples. In forced-choice odor discrimination tasks for pairs of enantiomers or pairs of body odors vs. cancer-induced body odor disorders, sniffer mice discriminated against learned olfactory cues in a wide range of concentrations, where correct choice rates decreased in the Fechner's law, as perceptual ambiguity increased. In this mini-review, we summarize the current knowledge of how the olfactory system encodes and hierarchically decodes multiple elemental odors to control odor-driven behaviors.

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          Most cited references43

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          Combinatorial receptor codes for odors.

          The discriminatory capacity of the mammalian olfactory system is such that thousands of volatile chemicals are perceived as having distinct odors. Here we used a combination of calcium imaging and single-cell RT-PCR to identify odorant receptors (ORs) for odorants with related structures but varied odors. We found that one OR recognizes multiple odorants and that one odorant is recognized by multiple ORs, but that different odorants are recognized by different combinations of ORs. Thus, the olfactory system uses a combinatorial receptor coding scheme to encode odor identities. Our studies also indicate that slight alterations in an odorant, or a change in its concentration, can change its "code," potentially explaining how such changes can alter perceived odor quality.
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            Innate versus learned odour processing in the mouse olfactory bulb.

            The mammalian olfactory system mediates various responses, including aversive behaviours to spoiled foods and fear responses to predator odours. In the olfactory bulb, each glomerulus represents a single species of odorant receptor. Because a single odorant can interact with several different receptor species, the odour information received in the olfactory epithelium is converted to a topographical map of multiple glomeruli activated in distinct areas in the olfactory bulb. To study how the odour map is interpreted in the brain, we generated mutant mice in which olfactory sensory neurons in a specific area of the olfactory epithelium are ablated by targeted expression of the diphtheria toxin gene. Here we show that, in dorsal-zone-depleted mice, the dorsal domain of the olfactory bulb was devoid of glomerular structures, although second-order neurons were present in the vacant areas. The mutant mice lacked innate responses to aversive odorants, even though they were capable of detecting them and could be conditioned for aversion with the remaining glomeruli. These results indicate that, in mice, aversive information is received in the olfactory bulb by separate sets of glomeruli, those dedicated for innate and those for learned responses.
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              Selectivity determinants of GPCR–G-protein binding

              The identification of the positions and patterns of amino acids that form the selectivity determinants for the entire human G-protein and G-protein-coupled receptor signalling system.
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                Author and article information

                Contributors
                Journal
                Front Behav Neurosci
                Front Behav Neurosci
                Front. Behav. Neurosci.
                Frontiers in Behavioral Neuroscience
                Frontiers Media S.A.
                1662-5153
                22 April 2022
                2022
                : 16
                : 849864
                Affiliations
                [1] 1Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology , Osaka, Japan
                [2] 2Division of Anatomical Science, Department of Functional Morphology, Nihon University School of Medicine , Tokyo, Japan
                [3] 3Graduate School of Life Sciences, Tohoku University , Sendai, Japan
                [4] 4Department of Medical Engineering, Faculty of Health Science, Aino University , Osaka, Japan
                Author notes

                Edited by: Edgar Soria-Gomez, University of the Basque Country, Spain

                Reviewed by: Shin Nagayama, Texas Medical Center, United States; Roman Shusterman, University of Oregon, United States

                *Correspondence: Takaaki Sato taka-sato@ 123456aist.go.jp

                This article was submitted to Emotion Regulation and Processing, a section of the journal Frontiers in Behavioral Neuroscience

                Article
                10.3389/fnbeh.2022.849864
                9074825
                35530728
                d20e2c32-65fc-4682-8291-7d51c5bb4d3b
                Copyright © 2022 Sato, Matsukawa, Iijima and Mizutani.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 06 January 2022
                : 14 March 2022
                Page count
                Figures: 2, Tables: 0, Equations: 0, References: 43, Pages: 8, Words: 5973
                Categories
                Behavioral Neuroscience
                Mini Review

                Neurosciences
                sniffer mouse behaviors,body odor disorder,biomarkers,fear and relaxation,odor discrimination,odor information coding,cancer-characteristic odors

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