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Stute P, Henneicke-von Zepelin HH, Nicken P. Transfer of preclinical study data on the influence of cimicifuga racemosaon functional changes in the hippocampus during menopause. Gynecol Endocrinol 2024; 40:2360066. [PMID: 38833172 DOI: 10.1080/09513590.2024.2360066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 05/22/2024] [Indexed: 06/06/2024] Open
Abstract
Menopausal transition in women involves complex neurobiochemical changes linked to ovarian dysfunction, resulting in symptoms like vasomotor symptoms (VMS), sleep disturbances, anxiety, and cognitive impairments. Hormone replacement therapy is the first-line treatment. However, many women are reluctant to use HRT or have contraindications toward HRT and seek for alternatives. Non-hormonal therapies with extracts of Cimicifuga racemosa rhizomes like the isopropanolic extract (iCR, black cohosh) offer a promising alternative. A preclinical pilot study exploring iCR's effects on gene expression in the hippocampus and hypothalamus of ovarectomized (OVX) rats mimicking menopausal conditions identified important signaling pathways and CNS-based contributions to the multitargeted modes of action of iCR. Especially in the hippocampus, iCR compensated effects of OVX on gene expression profiles. These changes are reflected by the genes AVPR1A, GAL, CALCA, HCRT, PNOC, ESR1, ESR2 and TAC3 contributing to the formation of hot flushes or thermoregulation as well as to secondary effects such as blood pressure, metabolism, hormonal regulation, homeostasis, mood regulation, neuroendocrine modulation, regulation of sleep and arousal, and in learning, memory and cognition. To understand the mechanisms in the brain of estrogen-depressed animals (OVX) and subsequent iCR treatment we combined the results of the pilot study with those of up-to-date literature and tried to transfer the current knowledge to humans during menopausal transition and adaptation. Focus was laid on changes in the hippocampal function, that is disturbed by hormonal fluctuations, but can also be brought back into balance by iCR.
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Affiliation(s)
- Petra Stute
- Department of Obstetrics and Gynecology, University Women's Hospital, Inselspital, Berne, Switzerland
| | | | - Petra Nicken
- Regulatory Affairs Department, Schaper and Brümmer GmbH and Co. KG, Salzgitter, Germany
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2
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Li G, Wang L, Ye F, Li S, Yu H. Molecular determinants of olfactory receptor activation: Comparative analysis of Olfr205 and Olfr740 family member responses to indole. Arch Biochem Biophys 2024; 758:110061. [PMID: 38880319 DOI: 10.1016/j.abb.2024.110061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 05/29/2024] [Accepted: 06/13/2024] [Indexed: 06/18/2024]
Abstract
Indole is widely present in nature and contributes significantly to the smell of flowers and animal excretion. However, the odor perception mechanism for indole is unclear, despite previous reports suggesting that it activates the Olfr740 family of receptors. In this study, we successfully identified another receptor, Olfr205, that is responsive to indole. Molecular model construction and binding pocket analysis predicted that the A202 residue in transmembrane helix 5 of Olfr205 forms a crucial hydrogen bond with indole, facilitating receptor activation. Additionally, G112 in transmembrane helix 3 of the Olfr740 family is involved in indole activation of receptors. Finally, our mutant function assay showed that substitution of A202 in Olfr205 and G112 in Olfr740 with other amino acids significantly decreased the receptor response to indole, which provides robust evidence to confirm the docking results. In summary, our study is the first to reveal that Olfr205 is an olfactory receptor distinct from those in the Olfr740 family that is activated by indole. Moreover, these receptors display different indole-binding mechanisms. This study sheds light on molecular binding mechanisms and contributes to a deeper understanding of indole perception.
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Affiliation(s)
- Guangyao Li
- Department of Otolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, PR China
| | - Li Wang
- Department of Otolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, PR China
| | - Fangzhou Ye
- Department of Otolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, PR China
| | - Shengju Li
- Department of Otolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, PR China; Columbia University Irving Medical Center, New York, USA.
| | - Hongmeng Yu
- Department of Otolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, PR China; Research Units of New Technologies of Endoscopic Surgery in Skull Base Tumor (2018RU003), Chinese Academy of Medical Sciences, PR China.
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3
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Ball L, Frey T, Haag F, Frank S, Hoffmann S, Laska M, Steinhaus M, Neuhaus K, Krautwurst D. Geosmin, a Food- and Water-Deteriorating Sesquiterpenoid and Ambivalent Semiochemical, Activates Evolutionary Conserved Receptor OR11A1. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:15865-15874. [PMID: 38955350 PMCID: PMC11261619 DOI: 10.1021/acs.jafc.4c01515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 06/04/2024] [Accepted: 06/13/2024] [Indexed: 07/04/2024]
Abstract
Geosmin, a ubiquitous volatile sesquiterpenoid of microbiological origin, is causative for deteriorating the quality of many foods, beverages, and drinking water, by eliciting an undesirable "earthy/musty" off-flavor. Moreover, and across species from worm to human, geosmin is a volatile, chemosensory trigger of both avoidance and attraction behaviors, suggesting its role as semiochemical. Volatiles typically are detected by chemosensory receptors of the nose, which have evolved to best detect ecologically relevant food-related odorants and semiochemicals. An insect receptor for geosmin was recently identified in flies. A human geosmin-selective receptor, however, has been elusive. Here, we report on the identification and characterization of a human odorant receptor for geosmin, with its function being conserved in orthologs across six mammalian species. Notably, the receptor from the desert-dwelling kangaroo rat showed a more than 100-fold higher sensitivity compared to its human ortholog and detected geosmin at low nmol/L concentrations in extracts from geosmin-producing actinomycetes.
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Affiliation(s)
- Lena Ball
- TUM
School of Life Sciences, Technical University
of Munich, Freising 85354, Germany
- Leibniz
Institute for Food Systems Biology at the Technical University of
Munich, Freising 85354, Germany
| | - Tim Frey
- TUM
School of Life Sciences, Technical University
of Munich, Freising 85354, Germany
- Leibniz
Institute for Food Systems Biology at the Technical University of
Munich, Freising 85354, Germany
- Tecan
Deutschland GmbH, Crailsheim 74564, Germany
| | - Franziska Haag
- Leibniz
Institute for Food Systems Biology at the Technical University of
Munich, Freising 85354, Germany
| | - Stephanie Frank
- Leibniz
Institute for Food Systems Biology at the Technical University of
Munich, Freising 85354, Germany
| | - Sandra Hoffmann
- Leibniz
Institute for Food Systems Biology at the Technical University of
Munich, Freising 85354, Germany
| | - Matthias Laska
- IFM
Biology, Linköping University, Linköping 581 83, Sweden
| | - Martin Steinhaus
- Leibniz
Institute for Food Systems Biology at the Technical University of
Munich, Freising 85354, Germany
| | - Klaus Neuhaus
- Core
Facility Microbiome, ZIEL − Institute for Food & Health, Technical University of Munich, Freising 85354, Germany
| | - Dietmar Krautwurst
- Leibniz
Institute for Food Systems Biology at the Technical University of
Munich, Freising 85354, Germany
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4
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Kikuta S, Nagayama S, Hasegawa-Ishii S. Structures and functions of the normal and injured human olfactory epithelium. Front Neural Circuits 2024; 18:1406218. [PMID: 38903957 PMCID: PMC11188711 DOI: 10.3389/fncir.2024.1406218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Accepted: 05/20/2024] [Indexed: 06/22/2024] Open
Abstract
The olfactory epithelium (OE) is directly exposed to environmental agents entering the nasal cavity, leaving OSNs prone to injury and degeneration. The causes of olfactory dysfunction are diverse and include head trauma, neurodegenerative diseases, and aging, but the main causes are chronic rhinosinusitis (CRS) and viral infections. In CRS and viral infections, reduced airflow due to local inflammation, inflammatory cytokine production, release of degranulated proteins from eosinophils, and cell injury lead to decreased olfactory function. It is well known that injury-induced loss of mature OSNs in the adult OE causes massive regeneration of new OSNs within a few months through the proliferation and differentiation of progenitor basal cells that are subsequently incorporated into olfactory neural circuits. Although normal olfactory function returns after injury in most cases, prolonged olfactory impairment and lack of improvement in olfactory function in some cases poses a major clinical problem. Persistent inflammation or severe injury in the OE results in morphological changes in the OE and respiratory epithelium and decreases the number of mature OSNs, resulting in irreversible loss of olfactory function. In this review, we discuss the histological structure and distribution of the human OE, and the pathogenesis of olfactory dysfunction associated with CRS and viral infection.
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Affiliation(s)
- Shu Kikuta
- Department of Otolaryngology-Head and Neck Surgery, Faculty of Medicine, Nihon University, Tokyo, Japan
| | - Shin Nagayama
- Department of Neurobiology and Anatomy, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, United States
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5
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Ye Y, Wang Y, Zhuang Y, Tan H, Zuo Z, Yun H, Yuan K, Zhou W. Decomposition of an odorant in olfactory perception and neural representation. Nat Hum Behav 2024; 8:1150-1162. [PMID: 38499771 DOI: 10.1038/s41562-024-01849-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Accepted: 02/19/2024] [Indexed: 03/20/2024]
Abstract
Molecules-the elementary units of substances-are commonly considered the units of processing in olfactory perception, giving rise to undifferentiated odour objects invariant to environmental variations. By selectively perturbing the processing of chemical substructures with adaptation ('the psychologist's microelectrode') in a series of psychophysical and neuroimaging experiments (458 participants), we show that two perceptually distinct odorants sharing part of their structural features become significantly less discernible following adaptation to a third odorant containing their non-shared structural features, in manners independent of olfactory intensity, valence, quality or general olfactory adaptation. The effect is accompanied by reorganizations of ensemble activity patterns in the posterior piriform cortex that parallel subjective odour quality changes, in addition to substructure-based neural adaptations in the anterior piriform cortex and amygdala. Central representations of odour quality and the perceptual outcome thus embed submolecular structural information and are malleable by recent olfactory encounters.
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Affiliation(s)
- Yuting Ye
- State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- Institute of Psychology, School of Public Affairs, Xiamen University, Xiamen, China
| | - Yanqing Wang
- State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- School of Psychology, Northwest Normal University, Lanzhou, China
| | - Yuan Zhuang
- State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Huibang Tan
- State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Zhentao Zuo
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
- Sino-Dannish College, University of Chinese Academy of Sciences, Beijing, China
| | - Hanqi Yun
- State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Kaiqi Yuan
- State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Wen Zhou
- State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
- Chinese Institute for Brain Research, Beijing, China.
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6
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Bratman GN, Bembibre C, Daily GC, Doty RL, Hummel T, Jacobs LF, Kahn PH, Lashus C, Majid A, Miller JD, Oleszkiewicz A, Olvera-Alvarez H, Parma V, Riederer AM, Sieber NL, Williams J, Xiao J, Yu CP, Spengler JD. Nature and human well-being: The olfactory pathway. SCIENCE ADVANCES 2024; 10:eadn3028. [PMID: 38748806 DOI: 10.1126/sciadv.adn3028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 04/12/2024] [Indexed: 07/04/2024]
Abstract
The world is undergoing massive atmospheric and ecological change, driving unprecedented challenges to human well-being. Olfaction is a key sensory system through which these impacts occur. The sense of smell influences quality of and satisfaction with life, emotion, emotion regulation, cognitive function, social interactions, dietary choices, stress, and depressive symptoms. Exposures via the olfactory pathway can also lead to (anti-)inflammatory outcomes. Increased understanding is needed regarding the ways in which odorants generated by nature (i.e., natural olfactory environments) affect human well-being. With perspectives from a range of health, social, and natural sciences, we provide an overview of this unique sensory system, four consensus statements regarding olfaction and the environment, and a conceptual framework that integrates the olfactory pathway into an understanding of the effects of natural environments on human well-being. We then discuss how this framework can contribute to better accounting of the impacts of policy and land-use decision-making on natural olfactory environments and, in turn, on planetary health.
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Affiliation(s)
- Gregory N Bratman
- School of Environmental and Forest Sciences, University of Washington, Seattle, WA 98195, USA
- Department of Psychology, University of Washington, Seattle, WA 98195, USA
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98195, USA
| | - Cecilia Bembibre
- Institute for Sustainable Heritage, University College London, London, UK
| | - Gretchen C Daily
- Natural Capital Project, Stanford University, Stanford, CA 94305, USA
- Department of Biology, Stanford University, Stanford, CA 94305, USA
- Woods Institute, Stanford University, Stanford, CA 94305, USA
| | - Richard L Doty
- Smell and Taste Center, Department of Otorhinolaryngology: Head and Neck Surgery, University of Pennsylvania Perelman School of Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Thomas Hummel
- Interdisciplinary Center Smell and Taste, Department of Otorhinolaryngology, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Lucia F Jacobs
- Department of Psychology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Peter H Kahn
- School of Environmental and Forest Sciences, University of Washington, Seattle, WA 98195, USA
- Department of Psychology, University of Washington, Seattle, WA 98195, USA
| | - Connor Lashus
- School of Environmental and Forest Sciences, University of Washington, Seattle, WA 98195, USA
| | - Asifa Majid
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | | | - Anna Oleszkiewicz
- Interdisciplinary Center Smell and Taste, Department of Otorhinolaryngology, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Institute of Psychology, University of Wroclaw, Wrocław, Poland
| | | | | | - Anne M Riederer
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98195, USA
| | - Nancy Long Sieber
- T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA
| | - Jonathan Williams
- Air Chemistry Department, Max Planck Institute for Chemistry, 55128 Mainz, Germany
- Climate and Atmosphere Research Center, The Cyprus Institute, Nicosia, Cyprus
| | - Jieling Xiao
- College of Architecture, Birmingham City University, Birmingham, UK
| | - Chia-Pin Yu
- School of Forestry and Resource Conservation, National Taiwan University, Taiwan
- The Experimental Forest, College of Bio-Resources and Agriculture, National Taiwan University, Taiwan
| | - John D Spengler
- T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA
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7
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Zou L, Qi Y, Shen L, Huang Y, Huang J, Xia Z, Fan M, Fan W, Chai GB, Shi QZ, Zhang Q, Yan C. The neural representations of valence transformation in indole processing. Cereb Cortex 2024; 34:bhae167. [PMID: 38652554 DOI: 10.1093/cercor/bhae167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 03/18/2024] [Accepted: 03/20/2024] [Indexed: 04/25/2024] Open
Abstract
Indole is often associated with a sweet and floral odor typical of jasmine flowers at low concentrations and an unpleasant, animal-like odor at high concentrations. However, the mechanism whereby the brain processes this opposite valence of indole is not fully understood yet. In this study, we aimed to investigate the neural mechanisms underlying indole valence encoding in conversion and nonconversion groups using the smelling task to arouse pleasantness. For this purpose, 12 conversion individuals and 15 nonconversion individuals participated in an event-related functional magnetic resonance imaging paradigm with low (low-indole) and high (high-indole) indole concentrations in which valence was manipulated independent of intensity. The results of this experiment showed that neural activity in the right amygdala, orbitofrontal cortex and insula was associated with valence independent of intensity. Furthermore, activation in the right orbitofrontal cortex in response to low-indole was positively associated with subjective pleasantness ratings. Conversely, activation in the right insula and amygdala in response to low-indole was positively correlated with anticipatory hedonic traits. Interestingly, while amygdala activation in response to high-indole also showed a positive correlation with these hedonic traits, such correlation was observed solely with right insula activation in response to high-indole. Additionally, activation in the right amygdala in response to low-indole was positively correlated with consummatory pleasure and hedonic traits. Regarding olfactory function, only activation in the right orbitofrontal cortex in response to high-indole was positively correlated with olfactory identification, whereas activation in the insula in response to low-indole was negatively correlated with the level of self-reported olfactory dysfunction. Based on these findings, valence transformation of indole processing in the right orbitofrontal cortex, insula, and amygdala may be associated with individual hedonic traits and perceptual differences.
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Affiliation(s)
- Laiquan Zou
- Chemical Senses and Mental Health Lab, Department of Psychology, School of Public Health, Southern Medical University, South Shatai Road 1023, Guangzhou 510515, China
| | - Yue Qi
- Chemical Senses and Mental Health Lab, Department of Psychology, School of Public Health, Southern Medical University, South Shatai Road 1023, Guangzhou 510515, China
| | - Lei Shen
- Key Laboratory of Brain Functional Genomics (MOE & STCSM), Shanghai Changning-ECNU Mental Health Center, School of Psychology and Cognitive Science, East China Normal University, North Zhongshan Road 3663, Shanghai 200062, China
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, North Zhongshan Road 3663, Shanghai 20062, China
| | - Yanyang Huang
- Chemical Senses and Mental Health Lab, Department of Psychology, School of Public Health, Southern Medical University, South Shatai Road 1023, Guangzhou 510515, China
| | - Jiayu Huang
- Chemical Senses and Mental Health Lab, Department of Psychology, School of Public Health, Southern Medical University, South Shatai Road 1023, Guangzhou 510515, China
| | - Zheng Xia
- Key Laboratory of Brain Functional Genomics (MOE & STCSM), Shanghai Changning-ECNU Mental Health Center, School of Psychology and Cognitive Science, East China Normal University, North Zhongshan Road 3663, Shanghai 200062, China
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, North Zhongshan Road 3663, Shanghai 20062, China
| | - Mingxia Fan
- Key Laboratory of Brain Functional Genomics (MOE & STCSM), Shanghai Changning-ECNU Mental Health Center, School of Psychology and Cognitive Science, East China Normal University, North Zhongshan Road 3663, Shanghai 200062, China
| | - Wu Fan
- Zhengzhou Tobacco Research Institute of CNTC, Fengyang Road 2, Zhengzhou 450001, China
| | - Guo-Bi Chai
- Zhengzhou Tobacco Research Institute of CNTC, Fengyang Road 2, Zhengzhou 450001, China
| | - Qing-Zhao Shi
- Zhengzhou Tobacco Research Institute of CNTC, Fengyang Road 2, Zhengzhou 450001, China
| | - Qidong Zhang
- Zhengzhou Tobacco Research Institute of CNTC, Fengyang Road 2, Zhengzhou 450001, China
| | - Chao Yan
- Key Laboratory of Brain Functional Genomics (MOE & STCSM), Shanghai Changning-ECNU Mental Health Center, School of Psychology and Cognitive Science, East China Normal University, North Zhongshan Road 3663, Shanghai 200062, China
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, North Zhongshan Road 3663, Shanghai 20062, China
- Key Laboratory of Philosophy and Social Science of Anhui Province on Adolescent Mental Health and Crisis Intelligence Intervention, South Jiuhua Road 189, Hefei 241002, China
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8
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Rapoport R, Greenberg A, Yakhini Z, Simon I. A Cyclic Permutation Approach to Removing Spatial Dependency between Clustered Gene Ontology Terms. BIOLOGY 2024; 13:175. [PMID: 38534445 DOI: 10.3390/biology13030175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Revised: 03/04/2024] [Accepted: 03/05/2024] [Indexed: 03/28/2024]
Abstract
Traditional gene set enrichment analysis falters when applied to large genomic domains, where neighboring genes often share functions. This spatial dependency creates misleading enrichments, mistaking mere physical proximity for genuine biological connections. Here we present Spatial Adjusted Gene Ontology (SAGO), a novel cyclic permutation-based approach, to tackle this challenge. SAGO separates enrichments due to spatial proximity from genuine biological links by incorporating the genes' spatial arrangement into the analysis. We applied SAGO to various datasets in which the identified genomic intervals are large, including replication timing domains, large H3K9me3 and H3K27me3 domains, HiC compartments and lamina-associated domains (LADs). Intriguingly, applying SAGO to prostate cancer samples with large copy number alteration (CNA) domains eliminated most of the enriched GO terms, thus helping to accurately identify biologically relevant gene sets linked to oncogenic processes, free from spatial bias.
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Affiliation(s)
- Rachel Rapoport
- Microbiology and Molecular Genetics, Hebrew University of Jerusalem-IMRIC, Jerusalem 9112102, Israel
| | - Avraham Greenberg
- Microbiology and Molecular Genetics, Hebrew University of Jerusalem-IMRIC, Jerusalem 9112102, Israel
| | - Zohar Yakhini
- Efi Arazi School of Computer Science, Reichman University (IDC Herzliya), Herzliya 4610101, Israel
- Department of Computer Science, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Itamar Simon
- Microbiology and Molecular Genetics, Hebrew University of Jerusalem-IMRIC, Jerusalem 9112102, Israel
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9
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Okamoto C, Ando K. Molecular dynamics simulation analysis of structural dynamic cross correlation induced by odorant hydrogen-bonding in mouse eugenol ol- factory receptor. Biophys Physicobiol 2024; 21:e210007. [PMID: 38803338 PMCID: PMC11128758 DOI: 10.2142/biophysico.bppb-v21.0007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 01/16/2024] [Indexed: 05/29/2024] Open
Abstract
Structural fluctuations and dynamic cross-correlations in the mouse eugenol olfactory receptor (Olfr73) were studied by molecular dynamics (MD) simulation to characterize the dynamic response of the protein upon ligand binding. The initial structure was generated by the artificial intelligence tool AlphaFold2 due to the current lack of experimental data. We focused on the hydrogen (H) bond of the odorant eugenol to Ser113, Asn207, and Tyr260 of the receptor protein, the importance of which has been suggested by previous experimental studies. The H-bond was not observed in docking simulations, but in subsequent MD simulations the H-bond to Ser113 was formed in 2-4 ns. The lifetime of the H-bond was in the range of 1-20 ns. On the trajectory with the most stable (20 ns) H-bond, the structural fluctuation of the α-carbon atoms of the receptor main chain was studied by calculating the root mean square fluctuations, the dynamic cross-correlation map, and the time-dependent dynamic cross-correlation. The analysis suggested a correlation transfer pathway Ser113 → Phe182 → (Leu259 or Tyr260) → Tyr291 induced by the ligand binding with a time scale of 4-6 ns.
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Affiliation(s)
- Chisato Okamoto
- Department of Information and Sciences, Tokyo Woman’s Christian University, Tokyo 167-8585, Japan
| | - Koji Ando
- Department of Information and Sciences, Tokyo Woman’s Christian University, Tokyo 167-8585, Japan
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10
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Lalis M, Hladiš M, Khalil SA, Briand L, Fiorucci S, Topin J. M2OR: a database of olfactory receptor-odorant pairs for understanding the molecular mechanisms of olfaction. Nucleic Acids Res 2024; 52:D1370-D1379. [PMID: 37870437 PMCID: PMC10767820 DOI: 10.1093/nar/gkad886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 09/13/2023] [Accepted: 10/04/2023] [Indexed: 10/24/2023] Open
Abstract
Mammalian sense of smell is triggered by interaction between odorant molecules and a class of proteins, called olfactory receptors (ORs). These receptors, expressed at the surface of olfactory sensory neurons, encode myriad of distinct odors via a sophisticated activation pattern. However, determining the molecular recognition spectrum of ORs remains a major challenge. The Molecule to Olfactory Receptor database (M2OR, https://m2or.chemsensim.fr/) provides curated data that allows an easy exploration of the current state of the research on OR-molecule interaction. We have gathered a database of 75,050 bioassay experiments for 51 395 distinct OR-molecule pairs. Drawn from published literature and public databases, M2OR contains information about OR responses to molecules and their mixtures, receptor sequences and experimental details. Users can obtain information on the activity of a chosen molecule or a group of molecules, or search for agonists for a specific OR or a group of ORs. Advanced search allows for fine-grained queries using various metadata such as species or experimental assay system, and the database can be queried by multiple inputs via a batch search. Finally, for a given search query, users can access and download a curated aggregation of the experimental data into a binarized combinatorial code of olfaction.
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Affiliation(s)
- Maxence Lalis
- Institut de Chimie de Nice, Université Côte d’Azur, UMR 7272 CNRS, 06108 Nice, France
| | - Matej Hladiš
- Institut de Chimie de Nice, Université Côte d’Azur, UMR 7272 CNRS, 06108 Nice, France
| | - Samar Abi Khalil
- Institut de Chimie de Nice, Université Côte d’Azur, UMR 7272 CNRS, 06108 Nice, France
| | - Loïc Briand
- Centre des Sciences du Goût et de l’Alimentation, CNRS, INRAE, Institut Agro, Université de Bourgogne, F-21000 Dijon, France
| | - Sébastien Fiorucci
- Institut de Chimie de Nice, Université Côte d’Azur, UMR 7272 CNRS, 06108 Nice, France
| | - Jérémie Topin
- Institut de Chimie de Nice, Université Côte d’Azur, UMR 7272 CNRS, 06108 Nice, France
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11
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Wang J, Fan T, Du Z, Xu L, Chen Y, Zhang L, Gao H, Li J, Ma Y, Gao X. Genome-Wide Association Analysis Identifies the PMEL Gene Affecting Coat Color and Birth Weight in Simmental × Holstein. Animals (Basel) 2023; 13:3821. [PMID: 38136858 PMCID: PMC10740715 DOI: 10.3390/ani13243821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 12/01/2023] [Accepted: 12/06/2023] [Indexed: 12/24/2023] Open
Abstract
Coat color and birth weight, as easily selected traits in cattle, play important roles in cattle breeding. Therefore, we carried out a genome-wide association study on birth weight and coat color to identify loci or potential linkage regions in 233 Simmental × Holstein crossbred beef cattle. The results revealed that nine SNPs were significantly associated with coat color (rs137169378, rs110022687, rs136002689, Hypotrichosis_PMel17, PMEL_1, rs134930689, rs383170073, rs109924971, and rs109146332), and these were in RNF41, ZC3H10, ERBB3, PMEL, and OR10A7 on BTA5. Interestingly, rs137169378, rs110022687, rs136002689, Hypotrichosis_PMel17, and PMEL_1 showed strong linkage disequilibrium (r2 > 0.8) and were significantly associated with coat color. Notably, Hypotrichosis_PMel17 and PMEL_1 were located in the gene PMEL (p = 2.22 × 10-18). Among the five significant SNPs associated with coat color, the birth weight of heterozygous individuals (AB) was greater than that of homozygous individuals (AA). Notably, the birth weight of heterozygous individuals with Hypotrichosis_PMel17 and PMEL_1 genotypes was significantly greater than that of homozygous individuals (0.01 < p < 0.05). Interestingly, the two loci were homozygous in black/white individuals and heterozygous in gray/white individuals, and the birth weight of heterozygous brown/white individuals (43.82 ± 5.25 kg) was greater than that of homozygous individuals (42.58 ± 3.09 kg). The birth weight of calves with the parental color (41.95 ± 3.53 kg) was significantly lower than that of calves with a non-parental color (43.54 ± 4.78 kg) (p < 0.05), and the birth weight of gray/white individuals (49.40 ± 7.11 kg) was the highest. Overall, PMEL appears to be a candidate gene affecting coat color in cattle, and coat color may have a selective effect on birth weight. This study provides a foundation for the breeding of beef cattle through GWAS for coat color and birth weight.
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Affiliation(s)
- Jing Wang
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (T.F.); (Z.D.); (L.X.); (Y.C.); (L.Z.); (H.G.); (J.L.)
| | - Tingting Fan
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (T.F.); (Z.D.); (L.X.); (Y.C.); (L.Z.); (H.G.); (J.L.)
| | - Zhenwei Du
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (T.F.); (Z.D.); (L.X.); (Y.C.); (L.Z.); (H.G.); (J.L.)
| | - Lingyang Xu
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (T.F.); (Z.D.); (L.X.); (Y.C.); (L.Z.); (H.G.); (J.L.)
| | - Yan Chen
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (T.F.); (Z.D.); (L.X.); (Y.C.); (L.Z.); (H.G.); (J.L.)
| | - Lupei Zhang
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (T.F.); (Z.D.); (L.X.); (Y.C.); (L.Z.); (H.G.); (J.L.)
| | - Huijiang Gao
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (T.F.); (Z.D.); (L.X.); (Y.C.); (L.Z.); (H.G.); (J.L.)
| | - Junya Li
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (T.F.); (Z.D.); (L.X.); (Y.C.); (L.Z.); (H.G.); (J.L.)
| | - Yi Ma
- Animal Husbandry Institute, Tianjin Academy of Agricultural Sciences, Tianjin 300384, China
| | - Xue Gao
- Laboratory of Molecular Biology and Bovine Breeding, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (J.W.); (T.F.); (Z.D.); (L.X.); (Y.C.); (L.Z.); (H.G.); (J.L.)
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12
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Hirata AHDL, Camargo LADJR, da Silva VA, de Almeida RJ, Bacigalupo LDS, Albejante MC, Curi FSD, Varela P, Martins L, Pesquero JB, Delle H, Camacho CP. Exploring the Potential of Olfactory Receptor Circulating RNA Measurement for Preeclampsia Prediction and Its Linkage to Mild Gestational Hypothyroidism. Int J Mol Sci 2023; 24:16681. [PMID: 38069004 PMCID: PMC10706743 DOI: 10.3390/ijms242316681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 11/05/2023] [Accepted: 11/07/2023] [Indexed: 12/18/2023] Open
Abstract
Gestational hypothyroidism may lead to preeclampsia development. However, this pathophysiological is unknown. We expect to find a shared mechanism by comparing hypothyroidism and preeclampsia. From our transcriptome data, we recognized olfactory receptors as that fingerprint. The reduction of taste and smell in hypothyroid patients has been known for a long time. Therefore, we decided to look to the olfactory receptors and aimed to identify genes capable of predicting preeclampsia (PEC). Methods: An Ion Proton Sequencer (Thermo Fisher Scientific, Waltham, MA, USA) was used to construct the transcriptome databases. RStudio with packages Limma v.3.50.0, GEOquery v.2.62.2, and umap v.0.2.8.8 were used to analyze the differentially expressed genes in GSE149440 from the Gene Expression Omnibus (GEO). The 7500 Real-Time PCR System (Applied Biosystems, Foster City, CA, USA) was used for RT-qPCR amplification of OR6X1 and OR4E2. Results: Our transcriptomic datasets analysis revealed 25.08% and 26.75% downregulated olfactory receptor (ORs) in mild nontreated gestational hypothyroidism (GHT) and PEC, respectively. In the GSE149440 GEO dataset, we found OR5H1, OR5T3, OR51A7, OR51B6, OR10J5, OR6C6, and OR2AG2 as predictors of early-onset PEC. We also evaluate two chosen biomarkers' responses to levothyroxine. The RT-qPCR demonstrated a difference in OR6X1 and OR4E2 expression between GHT and healthy pregnancy (p < 0.05). Those genes presented a negative correlation with TSH (r: -0.51, p < 0.05; and r: -0.44, p < 0.05), a strong positive correlation with each other (r: 0.89; p < 0.01) and the levothyroxine-treated group had no difference from the healthy one. We conclude that ORs could be used as biomarkers at the beginning of gestation, and the downregulated ORs found in GHT may be improved with levothyroxine treatment.
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Affiliation(s)
- Andréa Harumy de Lima Hirata
- Molecular Innovation and Biotechnology Laboratory, Postgraduate Program in Medicine, Universidade Nove de Julho (Uninove), Rua Vergueiro, 235/249, São Paulo 01525-000, SP, Brazil
| | - Luiz Antônio de Jesus Rocha Camargo
- Molecular Innovation and Biotechnology Laboratory, Postgraduate Program in Medicine, Universidade Nove de Julho (Uninove), Rua Vergueiro, 235/249, São Paulo 01525-000, SP, Brazil
- Thyroid Diseases Center, Laboratory of Molecular and Translational Endocrinology, Division of Endocrinology, Department of Medicine, Escola Paulista de Medicina, Universidade Federal de São Paulo, Rua Pedro de Toledo 669, 11th Floor, São Paulo 04039-032, SP, Brazil
| | - Valdelena Alessandra da Silva
- Molecular Innovation and Biotechnology Laboratory, Postgraduate Program in Medicine, Universidade Nove de Julho (Uninove), Rua Vergueiro, 235/249, São Paulo 01525-000, SP, Brazil
| | - Robson José de Almeida
- Molecular Innovation and Biotechnology Laboratory, Postgraduate Program in Medicine, Universidade Nove de Julho (Uninove), Rua Vergueiro, 235/249, São Paulo 01525-000, SP, Brazil
| | - Lucas dos Santos Bacigalupo
- Molecular Innovation and Biotechnology Laboratory, Postgraduate Program in Medicine, Universidade Nove de Julho (Uninove), Rua Vergueiro, 235/249, São Paulo 01525-000, SP, Brazil
- Department of Obstetrics and Gynecology, Conjunto Hospitalar do Mandaqui, Rua Voluntários da Pátria, 4301, São Paulo 02401-400, SP, Brazil
| | - Maria Clara Albejante
- Molecular Innovation and Biotechnology Laboratory, Postgraduate Program in Medicine, Universidade Nove de Julho (Uninove), Rua Vergueiro, 235/249, São Paulo 01525-000, SP, Brazil
- Department of Obstetrics and Gynecology, Conjunto Hospitalar do Mandaqui, Rua Voluntários da Pátria, 4301, São Paulo 02401-400, SP, Brazil
| | - Flavia Salomão d’Avila Curi
- Department of Obstetrics and Gynecology, Conjunto Hospitalar do Mandaqui, Rua Voluntários da Pátria, 4301, São Paulo 02401-400, SP, Brazil
| | - Patrícia Varela
- Center for Research and Molecular Diagnostic of Genetic Diseases, Department of Biophysics, Universidade Federal de São Paulo (UNIFESP), Rua Pedro de Toledo 669, 9th Floor, São Paulo 04039-032, SP, Brazil
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Leonardo Martins
- Center for Research and Molecular Diagnostic of Genetic Diseases, Department of Biophysics, Universidade Federal de São Paulo (UNIFESP), Rua Pedro de Toledo 669, 9th Floor, São Paulo 04039-032, SP, Brazil
- Division of Medical Sciences, Laboratory of Transcriptional Regulation, Institute of Medical Biology of Polish Academy of Sciences (IMB-PAS), Lodowa 106, 93-232 Łódź, Poland
| | - João Bosco Pesquero
- Center for Research and Molecular Diagnostic of Genetic Diseases, Department of Biophysics, Universidade Federal de São Paulo (UNIFESP), Rua Pedro de Toledo 669, 9th Floor, São Paulo 04039-032, SP, Brazil
| | - Humberto Delle
- Molecular Innovation and Biotechnology Laboratory, Postgraduate Program in Medicine, Universidade Nove de Julho (Uninove), Rua Vergueiro, 235/249, São Paulo 01525-000, SP, Brazil
| | - Cleber P. Camacho
- Molecular Innovation and Biotechnology Laboratory, Postgraduate Program in Medicine, Universidade Nove de Julho (Uninove), Rua Vergueiro, 235/249, São Paulo 01525-000, SP, Brazil
- Thyroid Diseases Center, Laboratory of Molecular and Translational Endocrinology, Division of Endocrinology, Department of Medicine, Escola Paulista de Medicina, Universidade Federal de São Paulo, Rua Pedro de Toledo 669, 11th Floor, São Paulo 04039-032, SP, Brazil
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13
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Bryant KL, Hansen C, Hecht EE. Fermentation technology as a driver of human brain expansion. Commun Biol 2023; 6:1190. [PMID: 37996482 PMCID: PMC10667226 DOI: 10.1038/s42003-023-05517-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 10/27/2023] [Indexed: 11/25/2023] Open
Abstract
Brain tissue is metabolically expensive. Consequently, the evolution of humans' large brains must have occurred via concomitant shifts in energy expenditure and intake. Proposed mechanisms include dietary shifts such as cooking. Importantly, though, any new food source must have been exploitable by hominids with brains a third the size of modern humans'. Here, we propose the initial metabolic trigger of hominid brain expansion was the consumption of externally fermented foods. We define "external fermentation" as occurring outside the body, as opposed to the internal fermentation in the gut. External fermentation could increase the bioavailability of macro- and micronutrients while reducing digestive energy expenditure and is supported by the relative reduction of the human colon. We discuss the explanatory power of our hypothesis and survey external fermentation practices across human cultures to demonstrate its viability across a range of environments and food sources. We close with suggestions for empirical tests.
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Affiliation(s)
- Katherine L Bryant
- Laboratoire de Psychologie Cognitive, Aix-Marseille Université, Marseille, France.
| | - Christi Hansen
- Hungry Heart Farm and Dietary Consulting, Conley, GA, USA
| | - Erin E Hecht
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
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14
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de March CA, Ma N, Billesbølle CB, Tewari J, del Torrent CL, van der Velden WJC, Ojiro I, Takayama I, Faust B, Li L, Vaidehi N, Manglik A, Matsunami H. Engineered odorant receptors illuminate structural principles of odor discrimination. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.16.567230. [PMID: 38014344 PMCID: PMC10680712 DOI: 10.1101/2023.11.16.567230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
A central challenge in olfaction is understanding how the olfactory system detects and distinguishes odorants with diverse physicochemical properties and molecular configurations. Vertebrate animals perceive odors via G protein-coupled odorant receptors (ORs). In humans, ~400 ORs enable the sense of smell. The OR family is composed of two major classes: Class I ORs are tuned to carboxylic acids while Class II ORs, representing the vast majority of the human repertoire, respond to a wide variety of odorants. How ORs recognize chemically diverse odorants remains poorly understood. A fundamental bottleneck is the inability to visualize odorant binding to ORs. Here, we uncover fundamental molecular properties of odorant-OR interactions by employing engineered ORs crafted using a consensus protein design strategy. Because such consensus ORs (consORs) are derived from the 17 major subfamilies of human ORs, they provide a template for modeling individual native ORs with high sequence and structural homology. The biochemical tractability of consORs enabled four cryoEM structures of distinct consORs with unique ligand recognition properties. The structure of a Class I consOR, consOR51, showed high structural similarity to the native human receptor OR51E2 and yielded a homology model of a related member of the human OR51 family with high predictive power. Structures of three Class II consORs revealed distinct modes of odorant-binding and activation mechanisms between Class I and Class II ORs. Thus, the structures of consORs lay the groundwork for understanding molecular recognition of odorants by the OR superfamily.
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Affiliation(s)
- Claire A. de March
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC, USA
- Institut de Chimie des Substances Naturelles, UPR2301 CNRS, Université Paris-Saclay, Gifsur- Yvette, 91190, France
| | - Ning Ma
- Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Duarte, CA, USA
| | | | - Jeevan Tewari
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC, USA
| | - Claudia Llinas del Torrent
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA
- Laboratory of Computational Medicine, Biostatistics Unit, Faculty of Medicine, Universitat Autònoma Barcelona, 08193 Bellaterra, Barcelona, Spain; Department of Anesthesia and Perioperative Care, University of California, San Francisco, CA, USA
| | - Wijnand J. C. van der Velden
- Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Duarte, CA, USA
| | - Ichie Ojiro
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC, USA
| | - Ikumi Takayama
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC, USA
- Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Koganei, Tokyo 184-8588, Japan
| | - Bryan Faust
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA
| | - Linus Li
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA
| | - Nagarajan Vaidehi
- Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Duarte, CA, USA
| | - Aashish Manglik
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA
- Laboratory of Computational Medicine, Biostatistics Unit, Faculty of Medicine, Universitat Autònoma Barcelona, 08193 Bellaterra, Barcelona, Spain; Department of Anesthesia and Perioperative Care, University of California, San Francisco, CA, USA
| | - Hiroaki Matsunami
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC, USA
- Department of Neurobiology, Duke Institute for Brain Sciences, Duke University, Durham, NC, USA
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15
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Courcelle M, Fabre PH, Douzery EJP. Phylogeny, Ecology, and Gene Families Covariation Shaped the Olfactory Subgenome of Rodents. Genome Biol Evol 2023; 15:evad197. [PMID: 37972291 PMCID: PMC10653590 DOI: 10.1093/gbe/evad197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/29/2023] [Indexed: 11/19/2023] Open
Abstract
Olfactory receptor (OR) genes represent the largest multigenic family in mammalian genomes and encode proteins that bind environmental odorant molecules. The OR repertoire is extremely variable among species and is subject to many gene duplications and losses, which have been linked to ecological adaptations in mammals. Although they have been studied on a broad taxonomic scale (i.e., placental), finer sampling has rarely been explored in order to better capture the mechanisms that drove the evolution of the OR repertoire. Among placental mammals, rodents are well-suited for this task, as they exhibit diverse life history traits, and genomic data are available for most major families and a diverse array of lifestyles. In this study, 53 rodent published genomes were mined for their OR subgenomes. We retrieved more than 85,000 functional and pseudogene OR sequences that were subsequently classified into phylogenetic clusters. Copy number variation among rodents is similar to that of other mammals. Using our OR counts along with comparative phylogenetic approaches, we demonstrated that ecological niches such as diet, period of activity, and a fossorial lifestyle strongly impacted the proportion of OR pseudogenes. Within the OR subgenome, phylogenetic inertia was the main factor explaining the relative variations of the 13 OR gene families. However, a striking exception was a convergent 10-fold expansion of the OR family 14 among the phylogenetically divergent subterranean mole-rat lineages belonging to Bathyergidae and Spalacidae families. This study illustrates how the diversity of the OR repertoire has evolved among rodents, both shaped by selective forces stemming from species life history traits and neutral evolution along the rodent phylogeny.
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Affiliation(s)
- Maxime Courcelle
- Institutdes Sciences de l’Evolution de Montpellier (ISEM), CNRS, IRD, EPHE, Université de Montpellier, Montpellier, France
- CIRAD, UMR ASTRE, Montpellier, France
| | - Pierre-Henri Fabre
- Institutdes Sciences de l’Evolution de Montpellier (ISEM), CNRS, IRD, EPHE, Université de Montpellier, Montpellier, France
- Mammal Section, Life Sciences, Vertebrate Division, The Natural History Museum, London, United Kingdom
- Institut Universitaire de France (IUF), Section Biologie-Médecine-Santé, Paris, France
| | - Emmanuel J P Douzery
- Institutdes Sciences de l’Evolution de Montpellier (ISEM), CNRS, IRD, EPHE, Université de Montpellier, Montpellier, France
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16
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Han SA, Kim JK, Cho DY, Patel ZM, Rhee CS. The Olfactory System: Basic Anatomy and Physiology for General Otorhinolaryngologists. Clin Exp Otorhinolaryngol 2023; 16:308-316. [PMID: 37669740 PMCID: PMC10710919 DOI: 10.21053/ceo.2023.00185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 08/16/2023] [Accepted: 09/04/2023] [Indexed: 09/07/2023] Open
Abstract
Olfaction is one of the five basic human senses, and it is known to be one of the most primitive senses. The sense of olfaction may have been critical for human survival in prehistoric society, and although many believe its importance has diminished over time, it continues to have an impact on human interaction, bonding, and propagation of the species. Even if we are unaware of it, the sense of smell greatly affects our lives and is closely related to overall quality of life and health. Nonetheless, olfaction has been neglected from a scientific perspective compared to other senses. However, olfaction has recently received substantial attention since the loss of smell and taste has been noted as a key symptom of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Studies investigating olfaction loss in association with coronavirus disease 2019 (COVID-19) have revealed that olfactory dysfunction can be both conductive and sensorineural, possibly causing structural changes in the brain. Olfactory training is an effective treatment for olfactory dysfunction, suggesting the reorganization of neural associations. A reduced ability to smell may also alert suspicion for neurodegenerative or psychiatric disorders. Here, we summarize the basic knowledge that we, as otorhinolaryngologists, should have about the sense of smell and the peripheral and central olfactory pathways for managing and helping patients with olfactory dysfunction.
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Affiliation(s)
- Sun A Han
- Department of Otorhinolaryngology-Head and Neck Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Jin Kook Kim
- Department of Otorhinolaryngology-Head and Neck Surgery, Konkuk University School of Medicine, Seoul, Korea
| | - Do-Yeon Cho
- Department of Otolaryngology-Head and Neck Surgery, University of Alabama at Birmingham, Birmingham, AL, USA
- Division of Otolaryngology, Department of Surgery, Veterans Affairs, Birmingham, AL, USA
| | - Zara M. Patel
- Department of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Chae-Seo Rhee
- Department of Otorhinolaryngology-Head and Neck Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
- Sensory Organ Research Institute and Institute of Allergy and Clinical Immunology, Seoul National University Medical Research Center, Seoul, Korea
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17
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Guardia GDA, Naressi RG, Buzzato VC, da Costa JB, Zalcberg I, Ramires J, Malnic B, Gutiyama LM, Galante PAF. Acute Myeloid Leukemia Expresses a Specific Group of Olfactory Receptors. Cancers (Basel) 2023; 15:3073. [PMID: 37370684 DOI: 10.3390/cancers15123073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 05/23/2023] [Accepted: 05/31/2023] [Indexed: 06/29/2023] Open
Abstract
Acute myeloid leukemia (AML) is the most common form of acute leukemia in adults, with a 5-year overall survival rate of approximately 30%. Despite recent advances in therapeutic options, relapse remains the leading cause of death and poor survival outcomes. New drugs benefit specific small subgroups of patients with actionable therapeutic targets. Thus, finding new targets with greater applicability should be pursued. Olfactory receptors (ORs) are seven transmembrane G-protein coupled receptors preferentially expressed in sensory neurons with a critical role in recognizing odorant molecules. Recent studies have revealed ectopic expression and putative function of ORs in nonolfactory tissues and pathologies, including AML. Here, we investigated OR expression in 151 AML samples, 6400 samples of 15 other cancer types, and 11,200 samples of 51 types of healthy tissues. First, we identified 19 ORs with a distinct and major expression pattern in AML, which were experimentally validated by RT-PCR in an independent set of 13 AML samples, 13 healthy donors, and 8 leukemia cell lines. We also identified an OR signature with prognostic potential for AML patients. Finally, we found cancer-related genes coexpressed with the ORs in the AML samples. In summary, we conducted an extensive study to identify ORs that can be used as novel biomarkers for the diagnosis of AML and as potential drug targets.
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Affiliation(s)
- Gabriela D A Guardia
- Centro de Oncologia Molecular, Hospital Sírio-Libanês, São Paulo 01308-060, SP, Brazil
| | - Rafaella G Naressi
- Centro de Transplante de Medula Óssea, Instituto Nacional do Câncer, Rio de Janeiro 20230-130, RJ, Brazil
- Department of Biochemistry, University of São Paulo, São Paulo 05508-000, SP, Brazil
| | - Vanessa C Buzzato
- Centro de Oncologia Molecular, Hospital Sírio-Libanês, São Paulo 01308-060, SP, Brazil
| | - Juliana B da Costa
- Centro de Transplante de Medula Óssea, Instituto Nacional do Câncer, Rio de Janeiro 20230-130, RJ, Brazil
| | - Ilana Zalcberg
- Centro de Transplante de Medula Óssea, Instituto Nacional do Câncer, Rio de Janeiro 20230-130, RJ, Brazil
| | - Jordana Ramires
- Centro de Transplante de Medula Óssea, Instituto Nacional do Câncer, Rio de Janeiro 20230-130, RJ, Brazil
| | - Bettina Malnic
- Department of Biochemistry, University of São Paulo, São Paulo 05508-000, SP, Brazil
| | - Luciana M Gutiyama
- Centro de Transplante de Medula Óssea, Instituto Nacional do Câncer, Rio de Janeiro 20230-130, RJ, Brazil
| | - Pedro A F Galante
- Centro de Oncologia Molecular, Hospital Sírio-Libanês, São Paulo 01308-060, SP, Brazil
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18
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Fukutani Y, Abe M, Saito H, Eguchi R, Tazawa T, de March CA, Yohda M, Matsunami H. Antagonistic interactions between odorants alter human odor perception. Curr Biol 2023; 33:2235-2245.e4. [PMID: 37220745 PMCID: PMC10394640 DOI: 10.1016/j.cub.2023.04.072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 03/19/2023] [Accepted: 04/27/2023] [Indexed: 05/25/2023]
Abstract
The olfactory system uses hundreds of odorant receptors (ORs), the largest group of the G-protein-coupled receptor (GPCR) superfamily, to detect a vast array of odorants. Each OR is activated by specific odorous ligands, and like other GPCRs, antagonism can block activation of ORs. Recent studies suggest that odorant antagonisms in mixtures influence olfactory neuron activities, but it is unclear how this affects perception of odor mixtures. In this study, we identified a set of human ORs activated by methanethiol and hydrogen sulfide, two potent volatile sulfur malodors, through large-scale heterologous expression. Screening odorants that block OR activation in heterologous cells identified a set of antagonists, including β-ionone. Sensory evaluation in humans revealed that β-ionone reduced the odor intensity and unpleasantness of methanethiol. Additionally, suppression was not observed when methanethiol and β-ionone were introduced simultaneously to different nostrils. Our study supports the hypothesis that odor sensation is altered through antagonistic interactions at the OR level.
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Affiliation(s)
- Yosuke Fukutani
- Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Koganei, Tokyo 184-8588, Japan; Institute of Global Innovation Research, Tokyo University of Agriculture and Technology, Koganei, Tokyo 184-8588, Japan.
| | - Masashi Abe
- Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Koganei, Tokyo 184-8588, Japan
| | - Haruka Saito
- Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Koganei, Tokyo 184-8588, Japan
| | - Ryo Eguchi
- Research Section, R & D Division, S.T. Corporation, Shinjuku, Tokyo 161-0033, Japan
| | - Toshiaki Tazawa
- Research Section, R & D Division, S.T. Corporation, Shinjuku, Tokyo 161-0033, Japan
| | - Claire A de March
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27710, USA; Institute of Chemistry of the Natural Substances, Université Paris Saclay, CNRS UPR2301, Gif-sur-Yvette 91190, France
| | - Masafumi Yohda
- Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Koganei, Tokyo 184-8588, Japan; Institute of Global Innovation Research, Tokyo University of Agriculture and Technology, Koganei, Tokyo 184-8588, Japan.
| | - Hiroaki Matsunami
- Institute of Global Innovation Research, Tokyo University of Agriculture and Technology, Koganei, Tokyo 184-8588, Japan; Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27710, USA; Department of Neurobiology, Duke Institute for Brain Sciences, Duke University Medical Center, Durham, NC 27705, USA.
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19
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Schulz S. Introduction to volatile natural products. Nat Prod Rep 2023; 40:759-760. [PMID: 37060144 DOI: 10.1039/d3np90015k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/16/2023]
Abstract
Guest editor Stefan Schulz introduces this Natural Products Reports themed issue summarizing recent progress in volatile natural products.
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Affiliation(s)
- Stefan Schulz
- Institute of Organic Chemistry, Technische Universität Braunschweig, 38106 Braunschweig, Germany.
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20
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Nakano-Baker O, Fong H, Shukla S, Lee RV, Cai L, Godin D, Hennig T, Rath S, Novosselov I, Dogan S, Sarikaya M, MacKenzie JD. Data-driven design of a multiplexed, peptide-sensitized transistor to detect breath VOC markers of COVID-19. Biosens Bioelectron 2023; 229:115237. [PMID: 36965380 PMCID: PMC10027305 DOI: 10.1016/j.bios.2023.115237] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 02/25/2023] [Accepted: 03/16/2023] [Indexed: 03/25/2023]
Abstract
Exhaled human breath contains a rich mixture of volatile organic compounds (VOCs) whose concentration can vary in response to disease or other stressors. Using simulated odorant-binding proteins (OBPs) and machine learning methods, we designed a multiplex of short VOC- and carbon-binding peptide probes that detect a characteristic "VOC fingerprint". Specifically, we target VOCs associated with COVID-19 in a compact, molecular sensor array that directly transduces vapor composition into multi-channel electrical signals. Rapidly synthesizable, chimeric VOC- and solid-binding peptides were derived from selected OBPs using multi-sequence alignment with protein database structures. Selective peptide binding to targeted VOCs and sensor surfaces was validated using surface plasmon resonance spectroscopy and quartz crystal microbalance. VOC sensing was demonstrated by peptide-sensitized, exposed-channel carbon nanotube transistors. The data-to-device pipeline enables the development of novel devices for non-invasive monitoring, diagnostics of diseases, and environmental exposure assessment.
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Affiliation(s)
| | - Hanson Fong
- University of Washington Dept. of Materials Science and Engineering, USA
| | | | - Richard V Lee
- University of Washington Dept. of Materials Science and Engineering, USA
| | - Le Cai
- University of Washington Dept. of Materials Science and Engineering, USA
| | - Dennis Godin
- University of Washington Dept. of Biochemistry, USA
| | - Tatum Hennig
- University of Washington Dept. of Atmospheric Chemistry, USA
| | - Siddharth Rath
- University of Washington Dept. of Materials Science and Engineering, USA
| | - Igor Novosselov
- University of Washington Depts. of Mechanical Engineering, Occupational and Environmental Health Sciences, USA
| | - Sami Dogan
- University of Washington School of Dentistry, USA
| | - Mehmet Sarikaya
- University of Washington Depts. of Materials Science and Engineering, Chemical Engineering, Oral Health Sciences, USA
| | - J Devin MacKenzie
- University of Washington Depts. of Materials Science and Engineering, Mechanical Engineering, USA
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21
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Zhou C, Liu Y, Zhao G, Liu Z, Chen Q, Yue B, Du C, Zhang X. Comparative Analysis of Olfactory Receptor Repertoires Sheds Light on the Diet Adaptation of the Bamboo-Eating Giant Panda Based on the Chromosome-Level Genome. Animals (Basel) 2023; 13:ani13060979. [PMID: 36978520 PMCID: PMC10044402 DOI: 10.3390/ani13060979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 02/14/2023] [Accepted: 02/28/2023] [Indexed: 03/30/2023] Open
Abstract
The giant panda (Ailuropoda melanoleuca) is the epitome of a flagship species for wildlife conservation and also an ideal model of adaptive evolution. As an obligate bamboo feeder, the giant panda relies on the olfaction for food recognition. The number of olfactory receptor (OR) genes and the rate of pseudogenes are the main factors affecting the olfactory ability of animals. In this study, we used the chromosome-level genome of the giant panda to identify OR genes and compared the genome sequences of OR genes with five other Ursidae species (spectacled bear (Tremarctos ornatus), American black bear (Ursus americanus), brown bear (Ursus arctos), polar bear (Ursus maritimus) and Asian black bear (Ursus thibetanus)). The giant panda had 639 OR genes, including 408 functional genes, 94 partial OR genes and 137 pseudogenes. Among them, 222 OR genes were detected and distributed on 18 chromosomes, and chromosome 8 had the most OR genes. A total of 448, 617, 582, 521 and 792 OR genes were identified in the spectacled bear, American black bear, brown bear, polar bear and Asian black bear, respectively. Clustering analysis based on the OR protein sequences of the six species showed that the OR genes distributed in 69 families and 438 subfamilies based on sequence similarity, and the six mammals shared 72 OR gene subfamilies, while the giant panda had 31 unique OR gene subfamilies (containing 35 genes). Among the 35 genes, there are 10 genes clustered into 8 clusters with 10 known human OR genes (OR8J3, OR51I1, OR10AC1, OR1S2, OR1S1, OR51S1, OR4M1, OR4M2, OR51T1 and OR5W2). However, the kind of odor molecules can be recognized by the 10 known human OR genes separately, which needs further research. The phylogenetic tree showed that 345 (about 84.56%) functional OR genes were clustered as Class-II, while only 63 (about 15.44%) functional OR genes were clustered as Class-I, which required further and more in-depth research. The potential odor specificity of some giant panda OR genes was identified through the similarity to human protein sequences. Sequences similar to OR2B1, OR10G3, OR11H6 and OR11H7P were giant panda-specific lacking, which may be related to the transformation and specialization from carnivore to herbivore of the giant panda. Since our reference to flavoring agents comes from human research, the possible flavoring agents from giant panda-specific OR genes need further investigation. Moreover, the conserved motifs of OR genes were highly conserved in Ursidae species. This systematic study of OR genes in the giant panda will provide a solid foundation for further research on the olfactory function and variation of the giant panda.
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Affiliation(s)
- Chuang Zhou
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu 610064, China
| | - Yi Liu
- Key Laboratory of Sichuan Province for Fishes Conservation and Utilization in the Upper Reaches of the Yangtze River, Neijiang Normal University, Neijiang 641000, China
| | - Guangqing Zhao
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu 610064, China
| | - Zhengwei Liu
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu 610064, China
| | - Qian Chen
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu 610064, China
| | - Bisong Yue
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu 610064, China
| | - Chao Du
- Baotou Teachers College, Baotou 014060, China
| | - Xiuyue Zhang
- Key Laboratory of Bioresources and Ecoenvironment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu 610064, China
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22
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Billesbølle CB, de March CA, van der Velden WJC, Ma N, Tewari J, Del Torrent CL, Li L, Faust B, Vaidehi N, Matsunami H, Manglik A. Structural basis of odorant recognition by a human odorant receptor. Nature 2023; 615:742-749. [PMID: 36922591 PMCID: PMC10580732 DOI: 10.1038/s41586-023-05798-y] [Citation(s) in RCA: 35] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 02/06/2023] [Indexed: 03/17/2023]
Abstract
Our sense of smell enables us to navigate a vast space of chemically diverse odour molecules. This task is accomplished by the combinatorial activation of approximately 400 odorant G protein-coupled receptors encoded in the human genome1-3. How odorants are recognized by odorant receptors remains unclear. Here we provide mechanistic insight into how an odorant binds to a human odorant receptor. Using cryo-electron microscopy, we determined the structure of the active human odorant receptor OR51E2 bound to the fatty acid propionate. Propionate is bound within an occluded pocket in OR51E2 and makes specific contacts critical to receptor activation. Mutation of the odorant-binding pocket in OR51E2 alters the recognition spectrum for fatty acids of varying chain length, suggesting that odorant selectivity is controlled by tight packing interactions between an odorant and an odorant receptor. Molecular dynamics simulations demonstrate that propionate-induced conformational changes in extracellular loop 3 activate OR51E2. Together, our studies provide a high-resolution view of chemical recognition of an odorant by a vertebrate odorant receptor, providing insight into how this large family of G protein-coupled receptors enables our olfactory sense.
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Affiliation(s)
| | - Claire A de March
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC, USA
- Institut de Chimie des Substances Naturelles, UPR2301 CNRS, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Wijnand J C van der Velden
- Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Duarte, CA, USA
| | - Ning Ma
- Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Duarte, CA, USA
| | - Jeevan Tewari
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC, USA
| | - Claudia Llinas Del Torrent
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA
- Laboratory of Computational Medicine, Biostatistics Unit, Faculty of Medicine, Universitat Autònoma Barcelona, Bellaterra, Barcelona, Spain
| | - Linus Li
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA
| | - Bryan Faust
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA
| | - Nagarajan Vaidehi
- Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Duarte, CA, USA.
| | - Hiroaki Matsunami
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC, USA.
- Department of Neurobiology, Duke Institute for Brain Sciences, Duke University, Durham, NC, USA.
| | - Aashish Manglik
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA.
- Department of Anesthesia and Perioperative Care, University of California, San Francisco, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
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23
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Kim B, Haney S, Milan AP, Joshi S, Aldworth Z, Rulkov N, Kim AT, Bazhenov M, Stopfer MA. Olfactory receptor neurons generate multiple response motifs, increasing coding space dimensionality. eLife 2023; 12:79152. [PMID: 36719272 PMCID: PMC9925048 DOI: 10.7554/elife.79152] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 01/31/2023] [Indexed: 02/01/2023] Open
Abstract
Odorants binding to olfactory receptor neurons (ORNs) trigger bursts of action potentials, providing the brain with its only experience of the olfactory environment. Our recordings made in vivo from locust ORNs showed that odor-elicited firing patterns comprise four distinct response motifs, each defined by a reliable temporal profile. Different odorants could elicit different response motifs from a given ORN, a property we term motif switching. Further, each motif undergoes its own form of sensory adaptation when activated by repeated plume-like odor pulses. A computational model constrained by our recordings revealed that organizing responses into multiple motifs provides substantial benefits for classifying odors and processing complex odor plumes: each motif contributes uniquely to encode the plume's composition and structure. Multiple motifs and motif switching further improve odor classification by expanding coding dimensionality. Our model demonstrated that these response features could provide benefits for olfactory navigation, including determining the distance to an odor source.
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Affiliation(s)
- Brian Kim
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH)BethesdaUnited States
- Brown University - National Institutes of Health Graduate Partnership ProgramProvidenceUnited States
| | - Seth Haney
- Department of Medicine, University of California, San DiegoSan DiegoUnited States
| | - Ana P Milan
- Department of Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Vrije Universiteit AmsterdamAmsterdamNetherlands
| | - Shruti Joshi
- Department of Medicine, University of California, San DiegoSan DiegoUnited States
| | - Zane Aldworth
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH)BethesdaUnited States
| | - Nikolai Rulkov
- Biocircuits Institute, University of California, San DiegoLa JollaUnited States
| | - Alexander T Kim
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH)BethesdaUnited States
| | - Maxim Bazhenov
- Department of Medicine, University of California, San DiegoSan DiegoUnited States
| | - Mark A Stopfer
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH)BethesdaUnited States
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24
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Nicoli A, Haag F, Marcinek P, He R, Kreißl J, Stein J, Marchetto A, Dunkel A, Hofmann T, Krautwurst D, Di Pizio A. Modeling the Orthosteric Binding Site of the G Protein-Coupled Odorant Receptor OR5K1. J Chem Inf Model 2023; 63:2014-2029. [PMID: 36696962 PMCID: PMC10091413 DOI: 10.1021/acs.jcim.2c00752] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
With approximately 400 encoding genes in humans, odorant receptors (ORs) are the largest subfamily of class A G protein-coupled receptors (GPCRs). Despite its high relevance and representation, the odorant-GPCRome is structurally poorly characterized: no experimental structures are available, and the low sequence identity of ORs to experimentally solved GPCRs is a significant challenge for their modeling. Moreover, the receptive range of most ORs is unknown. The odorant receptor OR5K1 was recently and comprehensively characterized in terms of cognate agonists. Here, we report two additional agonists and functional data of the most potent compound on two mutants, L1043.32 and L2556.51. Experimental data was used to guide the investigation of the binding modes of OR5K1 ligands into the orthosteric binding site using structural information from AI-driven modeling, as recently released in the AlphaFold Protein Structure Database, and from homology modeling. Induced-fit docking simulations were used to sample the binding site conformational space for ensemble docking. Mutagenesis data guided side chain residue sampling and model selection. We obtained models that could better rationalize the different activity of active (agonist) versus inactive molecules with respect to starting models and also capture differences in activity related to minor structural differences. Therefore, we provide a model refinement protocol that can be applied to model the orthosteric binding site of ORs as well as that of GPCRs with low sequence identity to available templates.
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Affiliation(s)
- Alessandro Nicoli
- Leibniz Institute for Food Systems Biology at the Technical University of Munich, 85354 Freising, Germany
| | - Franziska Haag
- Leibniz Institute for Food Systems Biology at the Technical University of Munich, 85354 Freising, Germany
| | - Patrick Marcinek
- Leibniz Institute for Food Systems Biology at the Technical University of Munich, 85354 Freising, Germany
| | - Ruiming He
- Leibniz Institute for Food Systems Biology at the Technical University of Munich, 85354 Freising, Germany.,Department of Chemistry, Technical University of Munich, 85748 Garching, Germany
| | - Johanna Kreißl
- Leibniz Institute for Food Systems Biology at the Technical University of Munich, 85354 Freising, Germany
| | - Jörg Stein
- Leibniz Institute for Food Systems Biology at the Technical University of Munich, 85354 Freising, Germany
| | - Alessandro Marchetto
- Computational Biomedicine, Institute for Advanced Simulations (IAS)-5/Institute for Neuroscience and Medicine (INM)-9, Forschungszentrum Jülich, 52428 Jülich, Germany.,Department of Biology, Faculty of Mathematics, Computer Science and Natural Sciences, RWTH Aachen University, 52074 Aachen, Germany
| | - Andreas Dunkel
- Leibniz Institute for Food Systems Biology at the Technical University of Munich, 85354 Freising, Germany
| | - Thomas Hofmann
- Chair of Food Chemistry and Molecular Sensory Science, Technical University of Munich, 85354 Freising, Germany
| | - Dietmar Krautwurst
- Leibniz Institute for Food Systems Biology at the Technical University of Munich, 85354 Freising, Germany
| | - Antonella Di Pizio
- Leibniz Institute for Food Systems Biology at the Technical University of Munich, 85354 Freising, Germany
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25
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Willeford K. The Luminescence Hypothesis of Olfaction. SENSORS (BASEL, SWITZERLAND) 2023; 23:1333. [PMID: 36772376 PMCID: PMC9919928 DOI: 10.3390/s23031333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 01/12/2023] [Accepted: 01/20/2023] [Indexed: 06/18/2023]
Abstract
A new hypothesis for the mechanism of olfaction is presented. It begins with an odorant molecule binding to an olfactory receptor. This is followed by the quantum biology event of inelastic electron tunneling as has been suggested with both the vibration and swipe card theories. It is novel in that it is not concerned with the possible effects of the tunneled electrons as has been discussed with the previous theories. Instead, the high energy state of the odorant molecule in the receptor following inelastic electron tunneling is considered. The hypothesis is that, as the high energy state decays, there is fluorescence luminescence with radiative emission of multiple photons. These photons pass through the supporting sustentacular cells and activate a set of olfactory neurons in near-simultaneous timing, which provides the temporal basis for the brain to interpret the required complex combinatorial coding as an odor. The Luminescence Hypothesis of Olfaction is the first to present the necessity of or mechanism for a 1:3 correspondence of odorant molecule to olfactory nerve activations. The mechanism provides for a consistent and reproducible time-based activation of sets of olfactory nerves correlated to an odor. The hypothesis has a biological precedent: an energy feasibility assessment is included, explaining the anosmia seen with COVID-19, and can be confirmed with existing laboratory techniques.
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Affiliation(s)
- Kenneth Willeford
- Coastal Carolinas Integrated Medicine, 10 Doctors Circle, STE 2, Supply, NC 28462, USA
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26
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Naressi RG, Schechtman D, Malnic B. Odorant receptors as potential drug targets. Trends Pharmacol Sci 2023; 44:11-14. [PMID: 35999088 DOI: 10.1016/j.tips.2022.08.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 07/26/2022] [Accepted: 08/03/2022] [Indexed: 12/27/2022]
Abstract
Odorant receptors (ORs) belong to a large family of G protein-coupled receptors (GPCRs) that are highly expressed by olfactory sensory neurons of the nose. Accumulating evidence indicates that they are also expressed in a variety of nonolfactory tissues, which makes them new potential drug targets. Here we discuss the challenges and strategies to target these receptors.
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Affiliation(s)
| | | | - Bettina Malnic
- Department of Biochemistry, University of São Paulo, São Paulo, Brazil.
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27
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Tewari J, Matsunami H. Measuring Cell Surface Expression of Odorant Receptors via Flow Cytometry. Methods Mol Biol 2023; 2710:99-109. [PMID: 37688727 DOI: 10.1007/978-1-0716-3425-7_8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/11/2023]
Abstract
Odorant receptor proteins (ORs) have highly variable cell surface expression levels. The majority of both human and murine ORs depend on chaperone proteins to traffic from the endoplasmic reticulum to the cell surface, while a limited subset of ORs express at high levels independently. Quantifying these heterogeneous expression levels is of high import for understanding the trafficking and stability of these integral-transmembrane proteins and for normalizing in vitro activation assays. Recognizable epitopes like the rhodopsin-tag can be inserted upstream of the N-termini in ORs to enable cell surface immunostaining and detection via flow cytometry. This method enables robust measurement and comparison of cell surface expression levels of different ORs. Our approach also facilitates the study of different chaperone proteins' effects on OR trafficking and expression.
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Affiliation(s)
- Jeevan Tewari
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA
| | - Hiroaki Matsunami
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA.
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28
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dos Santos CG, Sousa MF, Vieira JIG, de Morais LR, Fernandes AAS, de Oliveira Littiere T, Itajara Otto P, Machado MA, Silva MVGB, Bonafé CM, Braga Magalhães AF, Verardo LL. Candidate genes for tick resistance in cattle: a systematic review combining post-GWAS analyses with sequencing data. JOURNAL OF APPLIED ANIMAL RESEARCH 2022. [DOI: 10.1080/09712119.2022.2096035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Cassiane Gomes dos Santos
- Department of Animal Science, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina, Brazil
| | - Mariele Freitas Sousa
- Department of Animal Science, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina, Brazil
| | - João Inácio Gomes Vieira
- Department of Animal Science, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina, Brazil
| | - Luana Rafaela de Morais
- Department of Animal Science, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina, Brazil
| | | | | | - Pamela Itajara Otto
- Department of Animal Science, Universidade Federal de Santa Maria, Santa Maria, Brazil
| | | | | | - Cristina Moreira Bonafé
- Department of Animal Science, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina, Brazil
| | | | - Lucas Lima Verardo
- Department of Animal Science, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina, Brazil
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29
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Mohanty SK, Maryam S, Gautam V, Mittal A, Gupta K, Arora R, Bhadra W, Mishra T, Sengupta D, Ahuja G. Transcriptional advantage influence odorant receptor gene choice. Brief Funct Genomics 2022; 22:281-290. [DOI: 10.1093/bfgp/elac052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 10/13/2022] [Accepted: 11/17/2022] [Indexed: 12/24/2022] Open
Abstract
Abstract
Odorant receptors (ORs) obey mutual exclusivity and monoallelic mode of expression. Efforts are ongoing to decipher the molecular mechanism that drives the ‘one-neuron-one-receptor’ rule of olfaction. Recently, single-cell profiling of olfactory sensory neurons (OSNs) revealed the expression of multiple ORs in the immature neurons, suggesting that the OR gene choice mechanism is much more complex than previously described by the silence-all-and-activate-one model. These results also led to the genesis of two possible mechanistic models i.e. winner-takes-all and stochastic selection. We developed Reverse Cell Tracking (RCT), a novel computational framework that facilitates OR-guided cellular backtracking by leveraging Uniform Manifold Approximation and Projection embeddings from RNA Velocity Workflow. RCT-based trajectory backtracking, coupled with statistical analysis, revealed the OR gene choice bias for the transcriptionally advanced (highest expressed) OR during neuronal differentiation. Interestingly, the observed selection bias was uniform for all ORs across different spatial zones or their relative expression within the olfactory organ. We validated these findings on independent datasets and further confirmed that the OR gene selection may be regulated by Upf3b. Lastly, our RNA dynamics-based tracking of the differentiation cascade revealed a transition cell state that harbors mixed molecular identities of immature and mature OSNs, and their relative abundance is regulated by Upf3b.
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Affiliation(s)
- Sanjay Kumar Mohanty
- Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi) Department of Computational Biology, , Okhla, Phase III, New Delhi 110020, India
| | - Sidrah Maryam
- Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi) Department of Computational Biology, , Okhla, Phase III, New Delhi 110020, India
| | - Vishakha Gautam
- Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi) Department of Computational Biology, , Okhla, Phase III, New Delhi 110020, India
| | - Aayushi Mittal
- Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi) Department of Computational Biology, , Okhla, Phase III, New Delhi 110020, India
| | - Krishan Gupta
- Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi) Department of Computer Science and Engineering, , Okhla, Phase III, New Delhi 110020, India
| | - Radhika Arora
- Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi) Department of Computational Biology, , Okhla, Phase III, New Delhi 110020, India
| | - Wrik Bhadra
- Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi) Department of Computational Biology, , Okhla, Phase III, New Delhi 110020, India
| | - Tripti Mishra
- Pathfinder Research and Training Foundation , Uttar Pradesh 201308, India
| | - Debarka Sengupta
- Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi) Department of Computational Biology, , Okhla, Phase III, New Delhi 110020, India
- Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi) Department of Computer Science and Engineering, , Okhla, Phase III, New Delhi 110020, India
| | - Gaurav Ahuja
- Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi) Department of Computational Biology, , Okhla, Phase III, New Delhi 110020, India
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30
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Lagunas A, Belloir C, Briand L, Gorostiza P, Samitier J. Determination of the nanoscale electrical properties of olfactory receptor hOR1A1 and their dependence on ligand binding: Towards the development of capacitance-operated odorant biosensors. Biosens Bioelectron 2022; 218:114755. [PMID: 36191583 DOI: 10.1016/j.bios.2022.114755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 09/09/2022] [Accepted: 09/23/2022] [Indexed: 12/30/2022]
Abstract
The transduction of odorant binding into cellular signaling by olfactory receptors (ORs) is not understood and knowing its mechanism would enable developing new pharmacology and biohybrid electronic detectors of volatile organic compounds bearing high sensitivity and selectivity. The electrical characterization of ORs in bulk experiments is subject to microscopic models and assumptions. We have directly determined the nanoscale electrical properties of ORs immobilized in a fixed orientation, and their change upon odorant binding, using electrochemical scanning tunneling microscopy (EC-STM) in near-physiological conditions. Recordings of current versus time, distance, and electrochemical potential allows determining the OR impedance parameters and their dependence with odorant binding. Our results allow validating OR structural-electrostatic models and their functional activation processes, and anticipating a novel macroscopic biosensor based on ORs.
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Affiliation(s)
- Anna Lagunas
- Biomedical Research Networking Center in Bioengineering, Biomaterials, and Nanomedicine (CIBER-BBN), av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029, Madrid, Spain; Institute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology, c/Baldiri i Reixac 10-12, 08028, Barcelona, Spain.
| | - Christine Belloir
- Centre des Sciences du Goût et de l'Alimentation, CNRS, INRAE, Institut Agro Dijon, Université Bourgogne Franche-Comté, 9E Bd Jeanne d'Arc, 21000, Dijon, France
| | - Loïc Briand
- Centre des Sciences du Goût et de l'Alimentation, CNRS, INRAE, Institut Agro Dijon, Université Bourgogne Franche-Comté, 9E Bd Jeanne d'Arc, 21000, Dijon, France
| | - Pau Gorostiza
- Biomedical Research Networking Center in Bioengineering, Biomaterials, and Nanomedicine (CIBER-BBN), av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029, Madrid, Spain; Institute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology, c/Baldiri i Reixac 10-12, 08028, Barcelona, Spain; Catalan Institution for Research and Advanced Studies (ICREA), pg. Lluís Companys 23, Barcelona, 08010, Spain
| | - Josep Samitier
- Biomedical Research Networking Center in Bioengineering, Biomaterials, and Nanomedicine (CIBER-BBN), av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029, Madrid, Spain; Institute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology, c/Baldiri i Reixac 10-12, 08028, Barcelona, Spain; Department of Electronics and Biomedical Engineering, Faculty of Physics, University of Barcelona (UB), c/Martí i Franquès 1, 08028, Barcelona, Spain.
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31
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Moharrek F, Ingerslev LR, Altıntaş A, Lundell L, Hansen AN, Small L, Workman CT, Barrès R. Comparative analysis of sperm DNA methylation supports evolutionary acquired epigenetic plasticity for organ speciation. Epigenomics 2022; 14:1305-1324. [PMID: 36420698 DOI: 10.2217/epi-2022-0168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Aim: To perform a comparative epigenomic analysis of DNA methylation in spermatozoa from humans, mice, rats and mini-pigs. Materials & methods: Genome-wide DNA methylation analysis was used to compare the methylation profiles of orthologous CpG sites. Transcription profiles of early embryo development were analyzed to provide insight into the association between sperm methylation and gene expression programming. Results: We identified DNA methylation variation near genes related to the central nervous system and signal transduction. Gene expression dynamics at different time points of preimplantation stages were modestly associated with spermatozoal DNA methylation at the nearest promoters. Conclusion: Conserved genomic regions subject to epigenetic variation across different species were associated with specific organ functions, suggesting their potential contribution to organ speciation and long-term adaptation to the environment.
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Affiliation(s)
- Farideh Moharrek
- The Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health & Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Lars R Ingerslev
- The Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health & Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Ali Altıntaş
- The Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health & Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Leonidas Lundell
- The Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health & Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Ann N Hansen
- The Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health & Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Lewin Small
- The Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health & Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Christopher T Workman
- Department of Biotechnology & Biomedicine, Technical University of Denmark, Lyngby, 2800, Denmark
| | - Romain Barrès
- The Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health & Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark.,Institut de Pharmacologie Moléculaire et Cellulaire, Université Côte d'Azur & Centre National pour la Recherche Scientifique (CNRS), Valbonne, 06560, France
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32
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Høy Hansen M, Steensboe Lang C, Abildgaard N, Nyvold CG. Comparative evaluation of the heterozygous variant standard deviation as a quality measure for next-generation sequencing. J Biomed Inform 2022; 135:104234. [DOI: 10.1016/j.jbi.2022.104234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 09/15/2022] [Accepted: 10/17/2022] [Indexed: 11/30/2022]
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33
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The Third Extracellular Loop of Mammalian Odorant Receptors Is Involved in Ligand Binding. Int J Mol Sci 2022; 23:ijms232012501. [PMID: 36293357 PMCID: PMC9604345 DOI: 10.3390/ijms232012501] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 09/22/2022] [Accepted: 10/06/2022] [Indexed: 12/30/2022] Open
Abstract
Mammals recognize chemicals in the air via G protein-coupled odorant receptors (ORs). In addition to their orthosteric binding site, other segments of these receptors modulate ligand recognition. Focusing on human hOR1A1, which is considered prototypical of class II ORs, we used a combination of molecular modeling, site-directed mutagenesis, and in vitro functional assays. We showed that the third extracellular loop of ORs (ECL3) contributes to ligand recognition and receptor activation. Indeed, site-directed mutations in ECL3 showed differential effects on the potency and efficacy of both carvones, citronellol, and 2-nonanone.
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34
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Whole Exome Sequencing Study Identifies Novel Rare Risk Variants for Habitual Coffee Consumption Involved in Olfactory Receptor and Hyperphagia. Nutrients 2022; 14:nu14204330. [PMID: 36297015 PMCID: PMC9607528 DOI: 10.3390/nu14204330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 10/13/2022] [Accepted: 10/13/2022] [Indexed: 11/06/2022] Open
Abstract
Habitual coffee consumption is an addictive behavior with unknown genetic variations and has raised public health issues about its potential health-related outcomes. We performed exome-wide association studies to identify rare risk variants contributing to habitual coffee consumption utilizing the newly released UK Biobank exome dataset (n = 200,643). A total of 34,761 qualifying variants were imported into SKAT to conduct gene-based burden and robust tests with minor allele frequency <0.01, adjusting the polygenic risk scores (PRS) of coffee intake to exclude the effect of common coffee-related polygenic risk. The gene-based burden and robust test of the exonic variants found seven exome-wide significant associations, such as OR2G2 (PSKAT = 1.88 × 10−9, PSKAT-Robust = 2.91 × 10−17), VEZT1 (PSKAT = 3.72 × 10−7, PSKAT-Robust = 1.41 × 10−7), and IRGC (PSKAT = 2.92 × 10−5, PSKAT-Robust = 1.07 × 10−7). These candidate genes were verified in the GWAS summary data of coffee intake, such as rs12737801 (p = 0.002) in OR2G2, and rs34439296 (p = 0.008) in IRGC. This study could help to extend genetic insights into the pathogenesis of coffee addiction, and may point to molecular mechanisms underlying health effects of habitual coffee consumption.
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35
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Steenwyk JL, Goltz DC, Buida TJ, Li Y, Shen XX, Rokas A. OrthoSNAP: A tree splitting and pruning algorithm for retrieving single-copy orthologs from gene family trees. PLoS Biol 2022; 20:e3001827. [PMID: 36228036 PMCID: PMC9595520 DOI: 10.1371/journal.pbio.3001827] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 10/25/2022] [Accepted: 09/13/2022] [Indexed: 11/19/2022] Open
Abstract
Molecular evolution studies, such as phylogenomic studies and genome-wide surveys of selection, often rely on gene families of single-copy orthologs (SC-OGs). Large gene families with multiple homologs in 1 or more species-a phenomenon observed among several important families of genes such as transporters and transcription factors-are often ignored because identifying and retrieving SC-OGs nested within them is challenging. To address this issue and increase the number of markers used in molecular evolution studies, we developed OrthoSNAP, a software that uses a phylogenetic framework to simultaneously split gene families into SC-OGs and prune species-specific inparalogs. We term SC-OGs identified by OrthoSNAP as SNAP-OGs because they are identified using a splitting and pruning procedure analogous to snapping branches on a tree. From 415,129 orthologous groups of genes inferred across 7 eukaryotic phylogenomic datasets, we identified 9,821 SC-OGs; using OrthoSNAP on the remaining 405,308 orthologous groups of genes, we identified an additional 10,704 SNAP-OGs. Comparison of SNAP-OGs and SC-OGs revealed that their phylogenetic information content was similar, even in complex datasets that contain a whole-genome duplication, complex patterns of duplication and loss, transcriptome data where each gene typically has multiple transcripts, and contentious branches in the tree of life. OrthoSNAP is useful for increasing the number of markers used in molecular evolution data matrices, a critical step for robustly inferring and exploring the tree of life.
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Affiliation(s)
- Jacob L. Steenwyk
- Vanderbilt University, Department of Biological Sciences, Nashville, Tennessee, United States of America
- Vanderbilt Evolutionary Studies Initiative, Vanderbilt University, Nashville, Tennessee, United States of America
- * E-mail: (JLS); (AR)
| | - Dayna C. Goltz
- Independent Researcher, Nashville, Tennessee, United States of America
| | - Thomas J. Buida
- Independent Researcher, Nashville, Tennessee, United States of America
| | - Yuanning Li
- Vanderbilt University, Department of Biological Sciences, Nashville, Tennessee, United States of America
- Vanderbilt Evolutionary Studies Initiative, Vanderbilt University, Nashville, Tennessee, United States of America
- Institute of Marine Science and Technology, Shandong University, Qingdao, China
| | - Xing-Xing Shen
- Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Institute of Insect Sciences, Zhejiang University, Hangzhou, China
| | - Antonis Rokas
- Vanderbilt University, Department of Biological Sciences, Nashville, Tennessee, United States of America
- Vanderbilt Evolutionary Studies Initiative, Vanderbilt University, Nashville, Tennessee, United States of America
- Heidelberg Institute for Theoretical Studies, Heidelberg, Germany
- * E-mail: (JLS); (AR)
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36
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Sharp AK, Newman D, Libonate G, Borns-Stern M, Bevan DR, Brown AM, Anandakrishnan R. Biophysical insights into OR2T7: Investigation of a potential prognostic marker for glioblastoma. Biophys J 2022; 121:3706-3718. [PMID: 35538663 PMCID: PMC9617130 DOI: 10.1016/j.bpj.2022.05.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 04/18/2022] [Accepted: 05/05/2022] [Indexed: 11/21/2022] Open
Abstract
Glioblastoma multiforme (GBM) is the most aggressive and prevalent form of brain cancer, with an expected survival of 12-15 months following diagnosis. GBM affects the glial cells of the central nervous system, which impairs regular brain function including memory, hearing, and vision. GBM has virtually no long-term survival even with treatment, requiring novel strategies to understand disease progression. Here, we identified a somatic mutation in OR2T7, a G-protein-coupled receptor (GPCR), that correlates with reduced progression-free survival for glioblastoma (log rank p-value = 0.05), suggesting a possible role in tumor progression. The mutation, D125V, occurred in 10% of 396 glioblastoma samples in The Cancer Genome Atlas, but not in any of the 2504 DNA sequences in the 1000 Genomes Project, suggesting that the mutation may have a deleterious functional effect. In addition, transcriptome analysis showed that the p38α mitogen-activated protein kinase (MAPK), c-Fos, c-Jun, and JunB proto-oncogenes, and putative tumor suppressors RhoB and caspase-14 were underexpressed in glioblastoma samples with the D125V mutation (false discovery rate < 0.05). Molecular modeling and molecular dynamics simulations have provided preliminary structural insight and indicate a dynamic helical movement network that is influenced by the membrane-embedded, cytofacial-facing residue 125, demonstrating a possible obstruction of G-protein binding on the cytofacial exposed region. We show that the mutation impacts the "open" GPCR conformation, potentially affecting Gα-subunit binding and associated downstream activity. Overall, our findings suggest that the Val125 mutation in OR2T7 could affect glioblastoma progression by downregulating GPCR-p38 MAPK tumor-suppression pathways and impacting the biophysical characteristics of the structure that facilitates Gα-subunit binding. This study provides the theoretical basis for further experimental investigation required to confirm that the D125V mutation in OR2T7 is not a passenger mutation. With validation, the aforementioned mutation could represent an important prognostic marker and a potential therapeutic target for glioblastoma.
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Affiliation(s)
- Amanda K Sharp
- Interdisciplinary Program of Genetics, Bioinformatics, and Computational Biology (GBCB), Virginia Tech, Blacksburg, Virginia
| | - David Newman
- Biomedical Sciences, Edward Via College of Osteopathic Medicine (VCOM), Blacksburg, Virginia
| | - Gianna Libonate
- Biomedical Sciences, Edward Via College of Osteopathic Medicine (VCOM), Blacksburg, Virginia
| | - Mary Borns-Stern
- Biomedical Sciences, Edward Via College of Osteopathic Medicine (VCOM), Blacksburg, Virginia
| | - David R Bevan
- Interdisciplinary Program of Genetics, Bioinformatics, and Computational Biology (GBCB), Virginia Tech, Blacksburg, Virginia; Department of Biochemistry, Virginia Tech, Blacksburg, Virginia
| | - Anne M Brown
- Interdisciplinary Program of Genetics, Bioinformatics, and Computational Biology (GBCB), Virginia Tech, Blacksburg, Virginia; Department of Biochemistry, Virginia Tech, Blacksburg, Virginia; Research and Informatics, University Libraries, Virginia Tech, Blacksburg, Virginia.
| | - Ramu Anandakrishnan
- Biomedical Sciences, Edward Via College of Osteopathic Medicine (VCOM), Blacksburg, Virginia; Biomedical Science and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, Virginia; Gibbs Cancer Center and Research Institute, Spartanburg, South Carolina.
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37
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Xu J, Moore BN, Pluznick JL. Short-Chain Fatty Acid Receptors and Blood Pressure Regulation: Council on Hypertension Mid-Career Award for Research Excellence 2021. Hypertension 2022; 79:2127-2137. [PMID: 35912645 PMCID: PMC9458621 DOI: 10.1161/hypertensionaha.122.18558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The gut microbiome influences host physiology and pathophysiology through several pathways, one of which is microbial production of chemical metabolites which interact with host signaling pathways. Short-chain fatty acids (SCFAs) are a class of gut microbial metabolites known to activate multiple signaling pathways in the host. Growing evidence indicates that the gut microbiome is linked to blood pressure, that SCFAs modulate blood pressure regulation, and that delivery of exogenous SCFAs lowers blood pressure. Given that hypertension is a key risk factor for cardiovascular disease, the examination of novel contributors to blood pressure regulation has the potential to lead to novel approaches or treatments. Thus, this review will discuss SCFAs with a focus on their host G protein-coupled receptors including GPR41 (G protein-coupled receptor 41), GPR43, and GPR109A, as well as OLFR78 (olfactory receptor 78) and OLFR558. This includes a discussion of the ligand profiles, G protein coupling, and tissue distribution of each receptor. We will also review phenotypes relevant to blood pressure regulation which have been reported to date for Gpr41, Gpr43, Gpr109a, and Olfr78 knockout mice. In addition, we will consider how SCFA signaling influences physiology at baseline, and, how SCFA signaling may contribute to blood pressure regulation in settings of hypertension. In sum, this review will integrate current knowledge regarding how SCFAs and their receptors regulate blood pressure.
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Affiliation(s)
- Jiaojiao Xu
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD 21205
| | - Brittni N. Moore
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD 21205
| | - Jennifer L. Pluznick
- Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD 21205
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38
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Yang Z, Cheng J, Shang P, Sun JP, Yu X. Emerging roles of olfactory receptors in glucose metabolism. Trends Cell Biol 2022; 33:463-476. [PMID: 36229334 DOI: 10.1016/j.tcb.2022.09.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 09/14/2022] [Accepted: 09/15/2022] [Indexed: 11/07/2022]
Abstract
Olfactory receptors (ORs) are widely expressed in extra-nasal tissues, where they participate in the regulation of divergent physiological processes. An increasing body of evidence over the past decade has revealed important regulatory roles for extra-nasal ORs in glucose metabolism. Recently, nonodorant endogenous ligands of ORs with metabolic significance have been identified, implying the therapeutic potential of ORs in the treatment of metabolic diseases, such as diabetes and obesity. In this review, we summarize current understanding of the expression patterns and functions of ORs in key tissues involved in glucose metabolism modulation, describe odorant and endogenous OR ligands, explain the biased signaling downstream of ORs, and outline OR therapeutic potential.
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39
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Extracellular loop 2 of G protein-coupled olfactory receptors is critical for odorant recognition. J Biol Chem 2022; 298:102331. [PMID: 35926708 PMCID: PMC9442423 DOI: 10.1016/j.jbc.2022.102331] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 07/26/2022] [Accepted: 07/27/2022] [Indexed: 11/27/2022] Open
Abstract
G protein–coupled olfactory receptors (ORs) enable us to detect innumerous odorants. They are also ectopically expressed in nonolfactory tissues and emerging as attractive drug targets. ORs can be promiscuous or highly specific, which is part of a larger mechanism for odor discrimination. Here, we demonstrate that the OR extracellular loop 2 (ECL2) plays critical roles in OR promiscuity and specificity. Using site-directed mutagenesis and molecular modeling, we constructed 3D OR models in which ECL2 forms a lid over the orthosteric pocket. We demonstrate using molecular dynamics simulations that ECL2 controls the shape and volume of the odorant-binding pocket, maintains the pocket hydrophobicity, and acts as a gatekeeper of odorant binding. Therefore, we propose the interplay between the specific orthosteric pocket and the variable, less specific ECL2 controls OR specificity and promiscuity. Furthermore, the 3D models created here enabled virtual screening of new OR agonists and antagonists, which exhibited a 70% hit rate in cell assays. Our approach can potentially be generalized to structure-based ligand screening for other G protein–coupled receptors that lack high-resolution 3D structures.
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40
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Cheng S, Cheng B, Liu L, Yang X, Meng P, Yao Y, Pan C, Zhang J, Li C, Zhang H, Chen Y, Zhang Z, Wen Y, Jia Y, Zhang F. Exome-wide screening identifies novel rare risk variants for major depression disorder. Mol Psychiatry 2022; 27:3069-3074. [PMID: 35365804 DOI: 10.1038/s41380-022-01536-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Revised: 03/08/2022] [Accepted: 03/16/2022] [Indexed: 11/09/2022]
Abstract
Despite thousands of common genetic loci of major depression disorders (MDD) have been identified by GWAS to date, a large proportion of genetic variation predisposing to MDD remains unaccounted for. By utilizing the newly released UK Biobank 200,643 exome dataset, we conducted an exome-wide association study to identify rare risk variants contributing to MDD. After quality control, 120,033 participants with MDD polygenic risk scores (PRS) values were included. The individuals with lower 30% quantile of the PRS value were filtered for case and control selecting. Then the cases were set as the individuals with upper 10% quantile of the PHQ depression score and lower 10% quantile were set as controls. Finally, 1612 cases and 1612 controls were included in this study. The variants were annotated by ANNOVRA software. After exclusions, 34,761 qualifying variants, including 148 frameshift variant, 335 non-frameshift variant, 33,758 nonsynonymous, 91 start-loss, 393 stop-gain, 36 stop-loss variants were imported into the SKAT R-package to perform single variants, gene-based burden and robust burden tests with minor allele frequency (MAF) < 0.01. Single variant association testing identified one variant, rs4057749 (P = 5.39 × 10-9), within OR8B4 gene at an exome-wide significance level. The gene-based burden test of the exonic variants identified genome-wide significant associations in OR8B4 (PSKAT = 6.23 × 10-5, PSKAT Robust = 4.49 × 10-5), TRAPPC11 (PSKAT = 0.014, PSKAT Robust = 0.015), SBK3 (PSKAT = 0.020, PSKAT Robust = 0.025) and TNRC6B (PSKAT = 0.026, PSKAT Robust = 0.036). We identified multiple novel rare risk variants contributing to MDD in the individuals with lower PRS of MDD. The findings can help to broaden the genetic insights of the MDD pathogenesis.
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Affiliation(s)
- Shiqiang Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Bolun Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Li Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Xuena Yang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Peilin Meng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Yao Yao
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Chuyu Pan
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Jingxi Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Chun'e Li
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Huijie Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Yujing Chen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Zhen Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Yumeng Jia
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China.,Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China. .,Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China. .,Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China.
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41
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Gupta P, Jindal A, Ahuja G, Jayadeva, Sengupta D. A new deep learning technique reveals the exclusive functional contributions of individual cancer mutations. J Biol Chem 2022; 298:102177. [PMID: 35753349 PMCID: PMC9304782 DOI: 10.1016/j.jbc.2022.102177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 06/17/2022] [Accepted: 06/20/2022] [Indexed: 11/26/2022] Open
Abstract
Cancers are caused by genomic alterations that may be inherited, induced by environmental carcinogens, or caused due to random replication errors. Postinduction of carcinogenicity, mutations further propagate and drastically alter the cancer genomes. Although a subset of driver mutations has been identified and characterized to date, most cancer-related somatic mutations are indistinguishable from germline variants or other noncancerous somatic mutations. Thus, such overlap impedes appreciation of many deleterious but previously uncharacterized somatic mutations. The major bottleneck arises due to patient-to-patient variability in mutational profiles, making it difficult to associate specific mutations with a given disease outcome. Here, we describe a newly developed technique Continuous Representation of Codon Switches (CRCS), a deep learning-based method that allows us to generate numerical vector representations of mutations, thereby enabling numerous machine learning-based tasks. We demonstrate three major applications of CRCS; first, we show how CRCS can help detect cancer-related somatic mutations in the absence of matched normal samples, which has applications in cell-free DNA–based assessment of tumor mutation burden. Second, the proposed approach also enables identification and exploration of driver genes; our analyses implicate DMD, RSK4, OFD1, WDR44, and AFF2 as potential cancer drivers. Finally, we used CRCS to score individual mutations in a tumor sample, which was found to be predictive of patient survival in bladder urothelial carcinoma, hepatocellular carcinoma, and lung adenocarcinoma. Taken together, we propose CRCS as a valuable computational tool for analysis of the functional significance of individual cancer mutations.
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Affiliation(s)
- Prashant Gupta
- Department of Electrical Engineering, Indian Institute of Technology Delhi, Hauz Khas, Delhi 110016, India
| | - Aashi Jindal
- Department of Electrical Engineering, Indian Institute of Technology Delhi, Hauz Khas, Delhi 110016, India
| | - Gaurav Ahuja
- Center for Computational Biology, Indraprastha Institute of Information Technology, Delhi 110020, India
| | - Jayadeva
- Department of Electrical Engineering, Indian Institute of Technology Delhi, Hauz Khas, Delhi 110016, India.
| | - Debarka Sengupta
- Center for Computational Biology, Indraprastha Institute of Information Technology, Delhi 110020, India; Department of Computer Science and Engineering, Indraprastha Institute of Information Technology, Delhi 110020, India; Center for Artificial Intelligence, Indraprastha Institute of Information Technology, Delhi 110020, India.
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Xu J, Pluznick JL. Key Amino Acids Alter Activity and Trafficking of a Well-conserved Olfactory Receptor. Am J Physiol Cell Physiol 2022; 322:C1279-C1288. [PMID: 35544696 DOI: 10.1152/ajpcell.00440.2021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
In this study, we elucidate factors that regulate the trafficking and activity of a well-conserved olfactory receptor (OR), Olfr558, and its human ortholog OR51E1. Results indicate that butyrate activates Olfr558/OR51E1 leading to the production of cAMP, and evokes Ca2+ influx. We also find Golf increases cAMP production induced by Olfr558/OR51E1 activation but does not affect trafficking. Given the 93% sequence identity between OR51E1 and Olfr558, it is surprising to note that OR51E1 has significantly more surface expression yet similar total protein expression. We find that replacing the Olfr558 N-terminus with that of OR51E1 significantly increases trafficking; in contrast, there is no change in surface expression conferred by the Olfr558 TM2, TM3, or TM4 domains. A previous analysis of human OR51E1 single nucleotide polymorphisms (SNPs) identified an A156T mutant primarily found in South Asia as the most abundant (albeit still rare). We find that the OR51E1 A156T mutant has reduced surface expression and cAMP production without a change in total protein expression. In sum, this study of a well-conserved olfactory receptor identifies both protein regions and specific amino acid residues that play key roles in protein trafficking, and also elucidates common effects of Golf on the regulation of both the human and murine OR.
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Affiliation(s)
- Jiaojiao Xu
- Johns Hopkins University School of Medicine, Department of Physiology, Baltimore, Maryland, United States
| | - Jennifer L Pluznick
- Johns Hopkins University School of Medicine, Department of Physiology, Baltimore, Maryland, United States
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Sumner JA, Gambazza S, Gao X, Baccarelli AA, Uddin M, McLaughlin KA. Epigenetics of early-life adversity in youth: cross-sectional and longitudinal associations. Clin Epigenetics 2022; 14:48. [PMID: 35395780 PMCID: PMC8994405 DOI: 10.1186/s13148-022-01269-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 03/31/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Altered DNA methylation (DNAm) may be one pathway through which early-life adversity (ELA) contributes to adverse mental and physical health outcomes. This study investigated whether the presence versus absence of ELA experiences reflecting the dimensions of threat and deprivation were associated with epigenome-wide DNAm cross-sectionally and longitudinally in a community-based sample of children and adolescents. METHODS In 113 youths aged 8-16 years with wide variability in ELA, we examined associations of abuse (physical, sexual, emotional; indicating threat-related experiences) and neglect (emotional, physical; indicating deprivation-related experiences) with DNAm assessed with the Illumina EPIC BeadChip array, with DNA derived from saliva. In cross-sectional epigenome-wide analyses, we investigated associations of lifetime abuse and neglect with DNAm at baseline. In longitudinal epigenome-wide analyses, we examined whether experiencing abuse and neglect over an approximately 2-year follow-up were each associated with change in DNAm from baseline to follow-up. RESULTS In cross-sectional analyses adjusting for lifetime experience of neglect, lifetime experience of abuse was associated with DNAm for four cytosine-phosphodiester-guanine (CpG) sites (cg20241299: coefficient = 0.023, SE = 0.004; cg08671764: coefficient = 0.018, SE = 0.003; cg27152686: coefficient = - 0.069, SE = 0.012; cg24241897: coefficient = - 0.003, SE = 0.001; FDR < .05). In longitudinal analyses, experiencing neglect over follow-up was associated with an increase in DNAm for one CpG site, adjusting for abuse over follow-up (cg03135983: coefficient = 0.036, SE = 0.006; FDR < .05). CONCLUSIONS In this study, we identified examples of epigenetic patterns associated with ELA experiences of threat and deprivation that were already observable in youth. We provide novel evidence for change in DNAm over time in relation to ongoing adversity and that experiences reflecting distinct ELA dimensions may be characterized by unique epigenetic patterns.
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Affiliation(s)
- Jennifer A. Sumner
- grid.19006.3e0000 0000 9632 6718Department of Psychology, University of California, Los Angeles, Psychology Building 1285, Box 951563, Los Angeles, CA 90095-1563 USA
| | - Simone Gambazza
- grid.4708.b0000 0004 1757 2822Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy ,grid.414818.00000 0004 1757 8749Healthcare Professions Department, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Xu Gao
- grid.21729.3f0000000419368729Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY USA ,grid.11135.370000 0001 2256 9319Department of Occupational and Environmental Health Sciences, Peking University, Beijing, China
| | - Andrea A. Baccarelli
- grid.21729.3f0000000419368729Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY USA
| | - Monica Uddin
- grid.170693.a0000 0001 2353 285XGenomics Program, College of Public Health, University of South Florida, Tampa, FL USA
| | - Katie A. McLaughlin
- grid.38142.3c000000041936754XDepartment of Psychology, Harvard University, Cambridge, MA USA
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Morrell CN, Mix D, Aggarwal A, Bhandari R, Godwin M, Owens Iii AP, Lyden SP, Doyle A, Krauel K, Rondina MT, Mohan A, Lowenstein CJ, Shim S, Stauffer S, Josyula VP, Ture SK, Yule DI, Wagner Iii LE, Ashton JM, Elbadawi A, Cameron SJ. Platelet olfactory receptor activation limits platelet reactivity and growth of aortic aneurysms. J Clin Invest 2022; 132:152373. [PMID: 35324479 PMCID: PMC9057618 DOI: 10.1172/jci152373] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 03/16/2022] [Indexed: 11/28/2022] Open
Abstract
As blood transitions from steady laminar flow (S-flow) in healthy arteries to disturbed flow (D-flow) in aneurysmal arteries, platelets are subjected to external forces. Biomechanical platelet activation is incompletely understood and is a potential mechanism behind antiplatelet medication resistance. Although it has been demonstrated that antiplatelet drugs suppress the growth of abdominal aortic aneurysms (AAA) in patients, we found that a certain degree of platelet reactivity persisted in spite of aspirin therapy, urging us to consider additional antiplatelet therapeutic targets. Transcriptomic profiling of platelets from patients with AAA revealed upregulation of a signal transduction pathway common to olfactory receptors, and this was explored as a mediator of AAA progression. Healthy platelets subjected to D-flow ex vivo, platelets from patients with AAA, and platelets in murine models of AAA demonstrated increased membrane olfactory receptor 2L13 (OR2L13) expression. A drug screen identified a molecule activating platelet OR2L13, which limited both biochemical and biomechanical platelet activation as well as AAA growth. This observation was further supported by selective deletion of the OR2L13 ortholog in a murine model of AAA that accelerated aortic aneurysm growth and rupture. These studies revealed that olfactory receptors regulate platelet activation in AAA and aneurysmal progression through platelet-derived mediators of aortic remodeling.
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Affiliation(s)
- Craig N Morrell
- Aab Cardiovascular Research Institute, University of Rochester School of Medicine, Rochester, United States of America
| | - Doran Mix
- Department of Surgery, Division of Vascular Surgery, University of Rochester School of Medicine, Rochester, United States of America
| | - Anu Aggarwal
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner College of Medicine, Cleveland, United States of America
| | - Rohan Bhandari
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner College of Medicine, Cleveland, United States of America
| | - Matthew Godwin
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner College of Medicine, Cleveland, United States of America
| | - A Phillip Owens Iii
- Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, United States of America
| | - Sean P Lyden
- Department of Vascular Surgery, Cleveland Clinic, Cleveland, United States of America
| | - Adam Doyle
- Department of Surgery, Division of Vascular Surgery, University of Rochester School of Medicine, Rochester, United States of America
| | - Krystin Krauel
- Department of Molecular Medicine, University of Utah, Salt Lake City, United States of America
| | - Matthew T Rondina
- Department of Internal Medicine, University of Utah, Salt Lake City, United States of America
| | - Amy Mohan
- Aab Cardiovascular Research Institute, University of Rochester School of Medicine, Rochester, United States of America
| | - Charles J Lowenstein
- Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, United States of America
| | - Sharon Shim
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner College of Medicine, Cleveland, United States of America
| | - Shaun Stauffer
- Center for Therapeutics Discovery, Cleveland Clinic Lerner College of Medicine, Cleveland, United States of America
| | - Vara Prasad Josyula
- Center for Therapeutics Discovery, Cleveland Clinic Lerner College of Medicine, Cleveland, United States of America
| | - Sara K Ture
- Aab Cardiovascular Research Institute, University of Rochester School of Medicine, Rochester, United States of America
| | - David I Yule
- Department of Pharmacology and Physiology, University of Rochester School of Medicine, Rochester, United States of America
| | - Larry E Wagner Iii
- Department of Pharmacology and Physiology, University of Rochester School of Medicine, Rochester, United States of America
| | - John M Ashton
- Department of Biomedical Genetics, University of Rochester School of Medicine, Rochester, United States of America
| | - Ayman Elbadawi
- Department of Cardiovascular Medicine, University of Texas Medical Branch, Galveston, United States of America
| | - Scott J Cameron
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner College of Medicine, Cleveland, United States of America
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Ruiz Tejada Segura ML, Abou Moussa E, Garabello E, Nakahara TS, Makhlouf M, Mathew LS, Wang L, Valle F, Huang SSY, Mainland JD, Caselle M, Osella M, Lorenz S, Reisert J, Logan DW, Malnic B, Scialdone A, Saraiva LR. A 3D transcriptomics atlas of the mouse nose sheds light on the anatomical logic of smell. Cell Rep 2022; 38:110547. [PMID: 35320714 PMCID: PMC8995392 DOI: 10.1016/j.celrep.2022.110547] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 01/26/2022] [Accepted: 03/01/2022] [Indexed: 12/26/2022] Open
Abstract
The sense of smell helps us navigate the environment, but its molecular architecture and underlying logic remain understudied. The spatial location of odorant receptor genes (Olfrs) in the nose is thought to be independent of the structural diversity of the odorants they detect. Using spatial transcriptomics, we create a genome-wide 3D atlas of the mouse olfactory mucosa (OM). Topographic maps of genes differentially expressed in space reveal that both Olfrs and non-Olfrs are distributed in a continuous and overlapping fashion over at least five broad zones in the OM. The spatial locations of Olfrs correlate with the mucus solubility of the odorants they recognize, providing direct evidence for the chromatographic theory of olfaction. This resource resolves the molecular architecture of the mouse OM and will inform future studies on mechanisms underlying Olfr gene choice, axonal pathfinding, patterning of the nervous system, and basic logic for the peripheral representation of smell.
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Affiliation(s)
- Mayra L Ruiz Tejada Segura
- Institute of Epigenetics and Stem Cells, Helmholtz Zentrum München, Feodor-Lynen-Strasse 21, 81377 München, Germany; Institute of Functional Epigenetics, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany; Institute of Computational Biology, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany
| | | | - Elisa Garabello
- Institute of Epigenetics and Stem Cells, Helmholtz Zentrum München, Feodor-Lynen-Strasse 21, 81377 München, Germany; Physics Department, University of Turin and INFN, Via P. Giuria 1, 10125 Turin, Italy; Department of Civil and Environmental Engineering, Cornell University, Ithaca, NY 14853, USA
| | - Thiago S Nakahara
- Department of Biochemistry, University of São Paulo, São Paulo, Brazil
| | | | | | - Li Wang
- Sidra Medicine, P.O. Box 26999, Doha, Qatar
| | - Filippo Valle
- Physics Department, University of Turin and INFN, Via P. Giuria 1, 10125 Turin, Italy
| | | | - Joel D Mainland
- Monell Chemical Senses Center, 3500 Market Street, Philadelphia, PA 19104, USA; Department of Neuroscience, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Michele Caselle
- Physics Department, University of Turin and INFN, Via P. Giuria 1, 10125 Turin, Italy
| | - Matteo Osella
- Physics Department, University of Turin and INFN, Via P. Giuria 1, 10125 Turin, Italy
| | - Stephan Lorenz
- Sidra Medicine, P.O. Box 26999, Doha, Qatar; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Johannes Reisert
- Monell Chemical Senses Center, 3500 Market Street, Philadelphia, PA 19104, USA
| | - Darren W Logan
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Bettina Malnic
- Department of Biochemistry, University of São Paulo, São Paulo, Brazil
| | - Antonio Scialdone
- Institute of Epigenetics and Stem Cells, Helmholtz Zentrum München, Feodor-Lynen-Strasse 21, 81377 München, Germany; Institute of Functional Epigenetics, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany; Institute of Computational Biology, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany.
| | - Luis R Saraiva
- Sidra Medicine, P.O. Box 26999, Doha, Qatar; Monell Chemical Senses Center, 3500 Market Street, Philadelphia, PA 19104, USA; College of Health and Life Sciences, Hamad Bin Khalifa University, P.O. Box 34110, Doha, Qatar.
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Yoshii T, Takayama I, Fukutani Y, Ikuta T, Maehashi K, Yohda M. Development of an odorant sensor with a cell-free synthesized olfactory receptor and a graphene field-effect transistor. ANAL SCI 2022; 38:241-245. [DOI: 10.1007/s44211-022-00073-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 01/29/2022] [Indexed: 11/01/2022]
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Masala C, Cavazzana A, Sanna F, Cecchini MP, Zanini A, Gasperi F, Menghi L, Endrizzi I, Borgogno M, Drago S, Cantone E, Ciofalo A, Macchi A, Monti G, Parma V, Piochi M, Pinna I, Torri L, Cabrino G, Ottaviano G, Pendolino AL, Pignatelli A, Pighin F, Bochicchio V, Motta G, Fontana G, Pasquariello B, Cavaliere C, Iacono V, Hummel T. Correlation between olfactory function, age, sex, and cognitive reserve index in the Italian population. Eur Arch Otorhinolaryngol 2022; 279:4943-4952. [PMID: 35211821 PMCID: PMC8869341 DOI: 10.1007/s00405-022-07311-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Accepted: 02/09/2022] [Indexed: 11/26/2022]
Abstract
Purpose Loss of smell decreases the quality of life and contributes to the failure in recognizing hazardous substances. Given the relevance of olfaction in daily life, it is important to recognize an undiagnosed olfactory dysfunction to prevent these possible complications. Up to now, the prevalence of smell disorders in Italy is unknown due to a lack of epidemiological studies. Hence, the primary aim of this study was to evaluate the prevalence of olfactory dysfunction in a sample of Italian adults. Methods Six hundred and thirty-three participants (347 woman and 286 men; mean age 44.9 years, SD 17.3, age range 18–86) were recruited from 10 distinct Italian regions. Participants were recruited using a convenience sapling and were divided into six different age groups: 18–29 years (N = 157), 30–39 years (N = 129), 40–49 years (N = 99), 50–59 years (N = 106), > 60 years (N = 142). Olfactory function, cognitive abilities, cognitive reserve, and depression were assessed, respectively, with: Sniffin’ Sticks 16-item Odor Identification Test, Montreal Cognitive Assessment, Cognitive Reserve Index, and the Beck Depression Inventory. Additionally, socio-demographic data, medical history, and health-related lifestyle information were collected. Results About 27% of participants showed an odor identification score < 12 indicating hyposmia. Multiple regression analysis revealed that OI was significantly correlated with age, sex, and cognitive reserve index, and young women with high cognitive reserve index showing the highest olfactory scores. Conclusion This study provides data on the prevalence of olfactory dysfunction in different Italian regions.
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Affiliation(s)
- Carla Masala
- Department of Biomedical Sciences, University of Cagliari, SP8 Cittadella Universitaria Monserrato, 09042, Cagliari, Italy.
- Department of Otorhinolaryngology, Smell and Taste Clinic, TU Dresden, Dresden, Germany.
| | - Annachiara Cavazzana
- Department of Otorhinolaryngology, Smell and Taste Clinic, TU Dresden, Dresden, Germany
| | - Fabrizio Sanna
- Department of Biomedical Sciences, University of Cagliari, SP8 Cittadella Universitaria Monserrato, 09042, Cagliari, Italy
| | - Maria Paola Cecchini
- Section of Anatomy and Histology, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Strada Le Grazie, 8, 37134, Verona, Italy
| | - Alice Zanini
- Section of Anatomy and Histology, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Strada Le Grazie, 8, 37134, Verona, Italy
| | - Flavia Gasperi
- Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach, 1, San Michele All'Adige, 38010, Trento, Italy
- Center Agriculture Food Environment, University of Trento/Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy
| | - Leonardo Menghi
- Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach, 1, San Michele All'Adige, 38010, Trento, Italy
- Center Agriculture Food Environment, University of Trento/Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy
- Department of Technology and Innovation, University of Southern Denmark, Odense, Denmark
| | - Isabella Endrizzi
- Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach, 1, San Michele All'Adige, 38010, Trento, Italy
| | | | | | - Elena Cantone
- Neurosciences, Reproductive and Odontostomatologic Sciences, Unit of Ear, Nose and Throat, Federico II University, Naples, Italy
| | - Andrea Ciofalo
- Neurosciences, Reproductive and Odontostomatologic Sciences, Unit of Ear, Nose and Throat, Federico II University, Naples, Italy
| | - Alberto Macchi
- ORL Clinica, University of Insubria and Varese, ASST Settelaghi, Varese, Italy
| | - Giulia Monti
- ORL Clinica, University of Insubria and Varese, ASST Settelaghi, Varese, Italy
| | - Valentina Parma
- Monell Chemical Senses Center, 3500 Market Street, Philadelphia, 19104, USA
| | - Maria Piochi
- University of Gastronomic Sciences, Pollenzo, Cuneo, Italy
| | - Ilenia Pinna
- Department of Biomedical Sciences, University of Cagliari, SP8 Cittadella Universitaria Monserrato, 09042, Cagliari, Italy
| | - Luisa Torri
- University of Gastronomic Sciences, Pollenzo, Cuneo, Italy
| | | | | | | | - Angela Pignatelli
- Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy
| | - Faride Pighin
- Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy
| | | | - Gaetano Motta
- Clinic of Otorhinolaryngology, Head and Neck Surgery Unit, Department of Anesthesiology, Surgical and Emergency Science, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Giorgia Fontana
- Geriatric Unit A, Azienda Ospedaliera Universitaria Integrata, Verona, Italy
| | | | - Carlo Cavaliere
- Unit of Rhinology, Department of Organi di Senso, University La Sapienza, Rome, Italy
| | - Valentina Iacono
- Division of Nephrology and Dialysis, "Santa Maria della Misericordia" Hospital, Rovigo, Italy
| | - Thomas Hummel
- Department of Otorhinolaryngology, Smell and Taste Clinic, TU Dresden, Dresden, Germany
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Kour A, Niranjan SK, Malayaperumal M, Surati U, Pukhrambam M, Sivalingam J, Kumar A, Sarkar M. Genomic Diversity Profiling and Breed-Specific Evolutionary Signatures of Selection in Arunachali Yak. Genes (Basel) 2022; 13:genes13020254. [PMID: 35205299 PMCID: PMC8872319 DOI: 10.3390/genes13020254] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 01/09/2022] [Accepted: 01/13/2022] [Indexed: 02/04/2023] Open
Abstract
Arunachali yak, the only registered yak breed of India, is crucial for the economic sustainability of pastoralist Monpa community. This study intended to determine the genomic diversity and to identify signatures of selection in the breed. Previously available double digest restriction-site associated DNA (ddRAD) sequencing data of Arunachali yak animals was processed and 99,919 SNPs were considered for further analysis. The genomic diversity profiled based on nucleotide diversity, π (π = 0.041 in 200 bp windows), effective population size, Ne (Ne = 83) and Runs of homozygosity (ROH) (predominance of shorter length ROHs) was found to be optimum. Subsequently, 207 regions were identified to be under selective sweeps through de-correlated composite of multiple signals (DCMS) statistic which combined three individual test statistics viz. π, Tajima’s D and |iHS| in non-overlapping 100 kb windows. Mapping of these regions revealed 611 protein-coding genes including KIT, KITLG, CDH12, FGG, FGA, FGB, PDGFRA, PEAR1, STXBP3, olfactory receptor genes (OR5K3, OR5H6 and OR1E1) and taste receptor genes (TAS2R1, TAS2R3 and TAS2R4). Functional annotation highlighted that biological processes like platelet aggregation and sensory perception were the most overrepresented and the associated regions could be considered as breed-specific signatures of selection in Arunachali yak. These findings point towards evolutionary role of natural selection in environmental adaptation of Arunachali yak population and provide useful insights for pursuing genome-wide association studies in future.
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Affiliation(s)
- Aneet Kour
- ICAR-National Research Centre on Yak, Dirang 790101, Arunachal Pradesh, India; (M.P.); (M.S.)
- Correspondence:
| | - Saket Kumar Niranjan
- ICAR-National Bureau of Animal Genetic Resources, Karnal 132001, Haryana, India; (S.K.N.); (A.K.)
| | - Mohan Malayaperumal
- ICAR-National Dairy Research Institute, Karnal 132001, Haryana, India; (M.M.); (U.S.)
| | - Utsav Surati
- ICAR-National Dairy Research Institute, Karnal 132001, Haryana, India; (M.M.); (U.S.)
| | - Martina Pukhrambam
- ICAR-National Research Centre on Yak, Dirang 790101, Arunachal Pradesh, India; (M.P.); (M.S.)
| | | | - Amod Kumar
- ICAR-National Bureau of Animal Genetic Resources, Karnal 132001, Haryana, India; (S.K.N.); (A.K.)
| | - Mihir Sarkar
- ICAR-National Research Centre on Yak, Dirang 790101, Arunachal Pradesh, India; (M.P.); (M.S.)
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49
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Rayner KJ, Rasheed A. The scent of atherosclerosis. Science 2022; 375:145-146. [PMID: 35025639 DOI: 10.1126/science.abn4708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Vascular macrophages sense an odorant to induce atherosclerotic plaque formation.
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Affiliation(s)
- Katey J Rayner
- University of Ottawa Heart Institute, Ottawa, ON, Canada.,Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Adil Rasheed
- University of Ottawa Heart Institute, Ottawa, ON, Canada.,Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
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50
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Williams DL, Sikora VM, Hammer MA, Amin S, Brinjikji T, Brumley EK, Burrows CJ, Carrillo PM, Cromer K, Edwards SJ, Emri O, Fergle D, Jenkins MJ, Kaushik K, Maydan DD, Woodard W, Clowney EJ. May the Odds Be Ever in Your Favor: Non-deterministic Mechanisms Diversifying Cell Surface Molecule Expression. Front Cell Dev Biol 2022; 9:720798. [PMID: 35087825 PMCID: PMC8787164 DOI: 10.3389/fcell.2021.720798] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Accepted: 11/24/2021] [Indexed: 12/30/2022] Open
Abstract
How does the information in the genome program the functions of the wide variety of cells in the body? While the development of biological organisms appears to follow an explicit set of genomic instructions to generate the same outcome each time, many biological mechanisms harness molecular noise to produce variable outcomes. Non-deterministic variation is frequently observed in the diversification of cell surface molecules that give cells their functional properties, and is observed across eukaryotic clades, from single-celled protozoans to mammals. This is particularly evident in immune systems, where random recombination produces millions of antibodies from only a few genes; in nervous systems, where stochastic mechanisms vary the sensory receptors and synaptic matching molecules produced by different neurons; and in microbial antigenic variation. These systems employ overlapping molecular strategies including allelic exclusion, gene silencing by constitutive heterochromatin, targeted double-strand breaks, and competition for limiting enhancers. Here, we describe and compare five stochastic molecular mechanisms that produce variety in pathogen coat proteins and in the cell surface receptors of animal immune and neuronal cells, with an emphasis on the utility of non-deterministic variation.
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Affiliation(s)
- Donnell L. Williams
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
- Department of Molecular, Cellular and Developmental Biology, The University of Michigan, Ann Arbor, MI, United States
| | - Veronica Maria Sikora
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Max A. Hammer
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Sayali Amin
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Taema Brinjikji
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Emily K. Brumley
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Connor J. Burrows
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Paola Michelle Carrillo
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Kirin Cromer
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Summer J. Edwards
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Olivia Emri
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Daniel Fergle
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - M. Jamal Jenkins
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
- Department of Molecular, Cellular and Developmental Biology, The University of Michigan, Ann Arbor, MI, United States
| | - Krishangi Kaushik
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Daniella D. Maydan
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - Wrenn Woodard
- MCDB 464 – Cellular Diversity in the Immune and Nervous Systems, University of Michigan, Ann Arbor, MI, United States
| | - E. Josephine Clowney
- Department of Molecular, Cellular and Developmental Biology, The University of Michigan, Ann Arbor, MI, United States
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