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Chepurwar S, Gupta A, Haddad R, Gupta N. Sequence-Based Prediction of Olfactory Receptor Responses. Chem Senses 2019; 44:693-703. [PMID: 31665762 DOI: 10.1093/chemse/bjz059] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Computational prediction of how strongly an olfactory receptor (OR) responds to various odors can help in bridging the widening gap between the large number of receptors that have been sequenced and the small number of experiments measuring their responses. Previous efforts in this area have predicted the responses of a receptor to some odors, using the known responses of the same receptor to other odors. Here, we present a method to predict the responses of a receptor without any known responses by using available data about the responses of other conspecific receptors and their sequences. We applied this method to ORs in insects Drosophila melanogaster (both adult and larva) and Anopheles gambiae and to mouse and human ORs. We found the predictions to be in significant agreement with the experimental measurements. The method also provides clues about the response-determining positions within the receptor sequences.
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Affiliation(s)
- Shashank Chepurwar
- Department of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India
| | - Abhishek Gupta
- Department of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India.,Department of Chemistry, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India
| | - Rafi Haddad
- The Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat-Gan, Israel
| | - Nitin Gupta
- Department of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India
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Yang L, Jiang H, Wang Y, Lei Y, Chen J, Sun N, Lv W, Wang C, Near TJ, He S. Expansion of vomeronasal receptor genes ( OlfC) in the evolution of fright reaction in Ostariophysan fishes. Commun Biol 2019; 2:235. [PMID: 31263779 PMCID: PMC6588630 DOI: 10.1038/s42003-019-0479-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 05/28/2019] [Indexed: 12/15/2022] Open
Abstract
Ostariophysans are the most diverse group of freshwater fishes and feature a pheromone-elicited fright reaction. However, the genetic basis of fright reaction is unclear. Here, we compared vomeronasal type 2 receptor-like (OlfC) genes from fishes having and lacking fright reaction, to provide insight into evolution of pheromonal olfaction in fishes. We found OlfC genes expanded remarkably in ostariophysans having fright reaction compared with fishes lacking fright reaction. Phylogenetic analysis indicates OlfC subfamily 9 expanded specifically in ostariophysans having fright reaction. Principle component and phylogenetic logistic regression analysis partitioned fishes by ecotype (having or lacking fright reaction) and identified OlfC subfamily 9 as being an important factor for fright reaction. Expression levels of expanded OlfC subfamily genes after fright reaction in zebrafish changed more than did genes that had not expanded. Furthermore, evidence of positive selection was found in the expanded OlfC proteins in ostariophysan fishes having fright reaction. These results provide new insight into the genetic basis of fright reaction in ostariophysan fish and will enable future research into the mechanism of action of OlfC proteins.
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Affiliation(s)
- Liandong Yang
- The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei 430072 People’s Republic of China
| | - Haifeng Jiang
- The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei 430072 People’s Republic of China
- University of Chinese Academy of Sciences, 100049 Beijing, People’s Republic of China
| | - Ying Wang
- School of Life Sciences, Jianghan University, 430056 Wuhan, People’s Republic of China
| | - Yi Lei
- The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei 430072 People’s Republic of China
- University of Chinese Academy of Sciences, 100049 Beijing, People’s Republic of China
| | - Juan Chen
- The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei 430072 People’s Republic of China
- University of Chinese Academy of Sciences, 100049 Beijing, People’s Republic of China
| | - Ning Sun
- The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei 430072 People’s Republic of China
- University of Chinese Academy of Sciences, 100049 Beijing, People’s Republic of China
| | - Wenqi Lv
- The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei 430072 People’s Republic of China
- University of Chinese Academy of Sciences, 100049 Beijing, People’s Republic of China
| | - Cheng Wang
- The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei 430072 People’s Republic of China
- University of Chinese Academy of Sciences, 100049 Beijing, People’s Republic of China
| | - Thomas J. Near
- Department of Ecology and Evolutionary Biology and Peabody Museum of Natural History, Yale University, New Haven, CT 06520 USA
| | - Shunping He
- The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei 430072 People’s Republic of China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, 650223 Kunming, People’s Republic of China
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de March CA, Fukutani Y, Vihani A, Kida H, Matsunami H. Real-time In Vitro Monitoring of Odorant Receptor Activation by an Odorant in the Vapor Phase. J Vis Exp 2019. [PMID: 31081824 DOI: 10.3791/59446] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Olfactory perception begins with the interaction of odorants with odorant receptors (OR) expressed by olfactory sensory neurons (OSN). Odor recognition follows a combinatorial coding scheme, where one OR can be activated by a set of odorants and one odorant can activate a combination of ORs. Through such combinatorial coding, organisms can detect and discriminate between a myriad of volatile odor molecules. Thus, an odor at a given concentration can be described by an activation pattern of ORs, which is specific to each odor. In that sense, cracking the mechanisms that the brain uses to perceive odor requires the understanding odorant-OR interactions. This is why the olfaction community is committed to "de-orphanize" these receptors. Conventional in vitro systems used to identify odorant-OR interactions have utilized incubating cell media with odorant, which is distinct from the natural detection of odors via vapor odorants dissolution into nasal mucosa before interacting with ORs. Here, we describe a new method that allows for real-time monitoring of OR activation via vapor-phase odorants. Our method relies on measuring cAMP release by luminescence using the Glosensor assay. It bridges current gaps between in vivo and in vitro approaches and provides a basis for a biomimetic volatile chemical sensor.
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Affiliation(s)
- Claire A de March
- Department of Molecular Genetics and Microbiology, Duke University Medical Center;
| | - Yosuke Fukutani
- Department of Molecular Genetics and Microbiology, Duke University Medical Center; Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology
| | - Aashutosh Vihani
- Department of Molecular Genetics and Microbiology, Duke University Medical Center; Department of Neurobiology, Duke University Medical Center
| | - Hitoshi Kida
- Department of Molecular Genetics and Microbiology, Duke University Medical Center; Department of Mechanical Systems, Engineering, Tokyo University of Agriculture and Technology
| | - Hiroaki Matsunami
- Department of Molecular Genetics and Microbiology, Duke University Medical Center; Department of Neurobiology, Duke University Medical Center; Institute of Global Innovation Research, Tokyo University of Agriculture and Technology; Duke Institute for Brain Sciences, Duke University;
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Block E. Molecular Basis of Mammalian Odor Discrimination: A Status Report. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2018; 66:13346-13366. [PMID: 30453735 DOI: 10.1021/acs.jafc.8b04471] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Humans have 396 unique, intact olfactory receptors (ORs), G-protein coupled receptors (GPCRs) containing receptor-specific binding sites; other mammals have more. Activation of these transmembrane proteins by an odorant initiates a signaling cascade, evoking an action potential leading to perception of a smell. Because the number of distinguishable odorants vastly exceeds the number of ORs, research has focused on mechanisms of recognition and signaling processes for classes of odorants. In this review, selected recent examples will be presented of "deorphaned" mammalian receptors, where the OR ligands (odorants) as well as key aspects of receptor-odorant interactions were identified using odorant-mediated receptor activation data together with site-directed mutagenesis and molecular modeling. Based on cumulative evidence from OR deorphaning and olfactory receptor neuron activation studies, a receptor-ligand docking model rather than an alternative bond vibration model is suggested to best explain the molecular basis of the exquisitely sensitive odor discrimination in mammals.
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Affiliation(s)
- Eric Block
- Department of Chemistry , University at Albany, SUNY , Albany , New York 12222 , United States
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Ren W, Qin M, Hu X, Li F, Wang Y, Huang Y, Su M, Li W, Qian X, Tang KL, Song Y. Bioinspired Synergy Sensor Chip of Photonic Crystals-Graphene Oxide for Multiamines Recognition. Anal Chem 2018; 90:6371-6375. [DOI: 10.1021/acs.analchem.8b01549] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Wanjie Ren
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Meng Qin
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, China
| | - Xiaotian Hu
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fengyu Li
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, China
| | - Yuanfeng Wang
- Key Laboratory of Evidence Science, China University of Political Science and Law, Beijing, 100088, China
| | - Yu Huang
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, China
| | - Meng Su
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wenbo Li
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, China
| | - Xin Qian
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kang-lai Tang
- Sports Medicine Center, Southwest Hospital, Third Military Medical University, Chongqing 400038, China
| | - Yanlin Song
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, China
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Hu XS, Matsunami H. High-Throughput Odorant Receptor Deorphanization Via Phospho-S6 Ribosomal Protein Immunoprecipitation and mRNA Profiling. Methods Mol Biol 2018; 1820:95-112. [PMID: 29884940 DOI: 10.1007/978-1-4939-8609-5_8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
We describe an approach for the high-throughput surveying of odorant receptors (ORs) expressed in olfactory sensory neurons (OSNs) that have been activated by specific odorants. When OSNs are activated, there is a molecular signature in the form of a phosphorylated-S6 (pS6) ribosomal subunit. By the immunoprecipitation of the protein-RNA complex containing pS6, we identify the OR mRNA species expressed in these activated OSNs. The one neuron - one receptor rule (mature OSN expresses a single unique OR) allows for the identification of the collection of ORs that responded toward the tested odorant. Here we detail the procedure of (1) odor stimulation, (2) tissue harvesting, (3) immunoprecipitation, and (4) mRNA profiling for the high-throughput deorphanization of ORs in vivo.
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Affiliation(s)
- Xiaoyang Serene Hu
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC, USA
| | - Hiroaki Matsunami
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC, USA. .,Department of Neurobiology, Duke Institute for Brain Sciences, Duke University, Durham, NC, USA.
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Conscious olfaction: Content, function, and localization. Behav Brain Sci 2016; 39:e188. [DOI: 10.1017/s0140525x15002186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
AbstractThe target article's emphasis on olfaction is a welcome reminder of the multimodal nature of conscious experience. Here, I explore the distinctive and even unique attributes of our sense of smell from the point of view of their bearing on and fit with a subcortical locus of sensory experience.
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