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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: 12] [Impact Index Per Article: 6.0] [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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53
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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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54
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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: 12] [Impact Index Per Article: 6.0] [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; 13:254. [PMID: 35205299 PMCID: PMC8872319 DOI: 10.3390/genes13020254] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [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.)
| | - 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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56
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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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57
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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: 6] [Impact Index Per Article: 3.0] [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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Seo J, Choi S, Kim H, Park SH, Lee J. Association between Olfactory Receptors and Skin Physiology. Ann Dermatol 2022; 34:87-94. [PMID: 35450315 PMCID: PMC8989906 DOI: 10.5021/ad.2022.34.2.87] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 08/10/2021] [Accepted: 11/03/2021] [Indexed: 11/08/2022] Open
Abstract
Olfactory receptors are chemosensory receptors that detect odorants and function in the initial perception of a smell. Intriguingly, olfactory receptors are also expressed in cells other than olfaction sensory cells, an expression pattern termed ectopic expression. Ectopically expressed olfactory receptors have a distinct role depending on the type of tissues or cells in which they are expressed. This review introduces current research on the ectopic expression and function of olfactory receptors in skin and provides insight into directions for future research.
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Affiliation(s)
- Jinyoung Seo
- Department of Integrative Biotechnology, College of Biotechnology and Bioengineering, Sungkyunkwan University, Suwon, Korea
| | - Subin Choi
- Department of Integrative Biotechnology, College of Biotechnology and Bioengineering, Sungkyunkwan University, Suwon, Korea
| | - Hyeyoun Kim
- Molecular Dermatology Laboratory, Department of Integrative Biotechnology, College of Biotechnology and Bioengineering, Sungkyunkwan University, Suwon, Korea
| | - See-Hyoung Park
- Department of Bio and Chemical Engineering, Hongik University, Sejong, Korea
| | - Jongsung Lee
- Molecular Dermatology Laboratory, Department of Integrative Biotechnology, College of Biotechnology and Bioengineering, Sungkyunkwan University, Suwon, Korea
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Voortman L, Johnston RJ. Transcriptional repression in stochastic gene expression, patterning, and cell fate specification. Dev Biol 2022; 481:129-138. [PMID: 34688689 PMCID: PMC8665150 DOI: 10.1016/j.ydbio.2021.10.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 10/04/2021] [Accepted: 10/09/2021] [Indexed: 01/03/2023]
Abstract
Development is often driven by signaling and lineage-specific cues, yielding highly uniform and reproducible outcomes. Development also involves mechanisms that generate noise in gene expression and random patterns across tissues. Cells sometimes randomly choose between two or more cell fates in a mechanism called stochastic cell fate specification. This process diversifies cell types in otherwise homogenous tissues. Stochastic mechanisms have been extensively studied in prokaryotes where noisy gene activation plays a pivotal role in controlling cell fates. In eukaryotes, transcriptional repression stochastically limits gene expression to generate random patterns and specify cell fates. Here, we review our current understanding of repressive mechanisms that produce random patterns of gene expression and cell fates in flies, plants, mice, and humans.
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Affiliation(s)
- Lukas Voortman
- Department of Biology, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD, 21218, USA
| | - Robert J Johnston
- Department of Biology, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD, 21218, USA.
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60
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Tootoonian S, Schaefer AT, Latham PE. Sparse connectivity for MAP inference in linear models using sister mitral cells. PLoS Comput Biol 2022; 18:e1009808. [PMID: 35100264 PMCID: PMC8830798 DOI: 10.1371/journal.pcbi.1009808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 02/10/2022] [Accepted: 01/05/2022] [Indexed: 11/19/2022] Open
Abstract
Sensory processing is hard because the variables of interest are encoded in spike trains in a relatively complex way. A major goal in studies of sensory processing is to understand how the brain extracts those variables. Here we revisit a common encoding model in which variables are encoded linearly. Although there are typically more variables than neurons, this problem is still solvable because only a small number of variables appear at any one time (sparse prior). However, previous solutions require all-to-all connectivity, inconsistent with the sparse connectivity seen in the brain. Here we propose an algorithm that provably reaches the MAP (maximum a posteriori) inference solution, but does so using sparse connectivity. Our algorithm is inspired by the circuit of the mouse olfactory bulb, but our approach is general enough to apply to other modalities. In addition, it should be possible to extend it to nonlinear encoding models.
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Affiliation(s)
- Sina Tootoonian
- Gatsby Computational Neuroscience Unit, University College London, London, United Kingdom
- Sensory Circuits and Neurotechnology Laboratory, The Francis Crick Institute, London, United Kingdom
- * E-mail:
| | - Andreas T. Schaefer
- Sensory Circuits and Neurotechnology Laboratory, The Francis Crick Institute, London, United Kingdom
- Department of Neuroscience, Physiology & Pharmacology, University College London, London, UK
| | - Peter E. Latham
- Gatsby Computational Neuroscience Unit, University College London, London, United Kingdom
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61
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Hot Spot Mutagenesis Improves the Functional Expression of Unique Mammalian Odorant Receptors. Int J Mol Sci 2021; 23:ijms23010277. [PMID: 35008703 PMCID: PMC8745346 DOI: 10.3390/ijms23010277] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 12/15/2021] [Accepted: 12/24/2021] [Indexed: 11/16/2022] Open
Abstract
Vertebrate animals detect odors through olfactory receptors (ORs), members of the G protein-coupled receptor (GPCR) family. Due to the difficulty in the heterologous expression of ORs, studies of their odor molecule recognition mechanisms have progressed poorly. Functional expression of most ORs in heterologous cells requires the co-expression of their chaperone proteins, receptor transporting proteins (RTPs). Yet, some ORs were found to be functionally expressed without the support of RTP (RTP-independent ORs). In this study, we investigated whether amino acid residues highly conserved among RTP-independent ORs improve the functional expression of ORs in heterologous cells. We found that a single amino acid substitution at one of two sites (NBW3.39 and 3.43) in their conserved residues (E and L, respectively) significantly improved the functional expression of ORs in heterologous cells. E3.39 and L3.43 also enhanced the membrane expression of RTP-dependent ORs in the absence of RTP. These changes did not alter the odorant responsiveness of the tested ORs. Our results showed that specific sites within transmembrane domains regulate the membrane expression of some ORs.
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62
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Haag F, Di Pizio A, Krautwurst D. The key food odorant receptive range of broadly tuned receptor OR2W1. Food Chem 2021; 375:131680. [PMID: 34857413 DOI: 10.1016/j.foodchem.2021.131680] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 11/22/2021] [Accepted: 11/22/2021] [Indexed: 11/28/2022]
Abstract
Mammals perceive a multitude of odorants by their chemical sense of olfaction, a high-dimensional stimulus-detection system, with hundreds of narrowly or broadly tuned receptors, enabling pattern recognition by the brain. Cognate receptor-agonist information, however, is sparse, and the role of broadly tuned odorant receptors for encoding odor quality remains elusive. Here, we screened IL-6-HaloTag®-OR2W1 and haplotypes against 187 out of 230 defined key food odorants using the GloSensor™ system in HEK-293 cells, yielding 48 new agonists. Altogether, key food odorants represent about two-thirds of now 153 reported agonists of OR2W1, the highest number of agonists known for a mammalian odorant receptor. In summary, we characterized OR2W1 as a human odorant receptor, with a chemically diverse but exclusive receptive range, complementary to chemical subgroups covered by evolutionary younger, highly selective receptors. Our data suggest OR2W1 to be suited for participating in the detection of many foodborne odorants.
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Affiliation(s)
- Franziska Haag
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich, Lise-Meitner-Str. 34, 85354 Freising, Germany
| | - Antonella Di Pizio
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich, Lise-Meitner-Str. 34, 85354 Freising, Germany
| | - Dietmar Krautwurst
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich, Lise-Meitner-Str. 34, 85354 Freising, Germany.
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63
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Barela Hudgell MA, Smith LC. Sequence Diversity, Locus Structure, and Evolutionary History of the SpTransformer Genes in the Sea Urchin Genome. Front Immunol 2021; 12:744783. [PMID: 34867968 PMCID: PMC8634487 DOI: 10.3389/fimmu.2021.744783] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 10/12/2021] [Indexed: 11/13/2022] Open
Abstract
The generation of large immune gene families is often driven by evolutionary pressure exerted on host genomes by their pathogens, which has been described as the immunological arms race. The SpTransformer (SpTrf) gene family from the California purple sea urchin, Strongylocentrotus purpuratus, is upregulated upon immune challenge and encodes the SpTrf proteins that interact with pathogens during an immune response. Native SpTrf proteins bind both bacteria and yeast, and augment phagocytosis of a marine Vibrio, while a recombinant SpTrf protein (rSpTrf-E1) binds a subset of pathogens and a range of pathogen associated molecular patterns. In the sequenced sea urchin genome, there are four SpTrf gene clusters for a total of 17 genes. Here, we report an in-depth analysis of these genes to understand the sequence complexities of this family, its genomic structure, and to derive a putative evolutionary history for the formation of the gene clusters. We report a detailed characterization of gene structure including the intron type and UTRs with conserved transcriptional start sites, the start codon and multiple stop codons, and locations of polyadenylation signals. Phylogenetic and percent mismatch analyses of the genes and the intergenic regions allowed us to predict the last common ancestral SpTrf gene and a theoretical evolutionary history of the gene family. The appearance of the gene clusters from the theoretical ancestral gene may have been driven by multiple duplication and deletion events of regions containing SpTrf genes. Duplications and ectopic insertion events, indels, and point mutations in the exons likely resulted in the extant genes and family structure. This theoretical evolutionary history is consistent with the involvement of these genes in the arms race in responses to pathogens and suggests that the diversification of these genes and their encoded proteins have been selected for based on the survival benefits of pathogen binding and host protection.
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Affiliation(s)
| | - L. Courtney Smith
- Department of Biological Sciences, George Washington University, Washington, DC, United States
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64
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The diversity of lipocalin receptors. Biochimie 2021; 192:22-29. [PMID: 34534611 DOI: 10.1016/j.biochi.2021.09.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 09/10/2021] [Accepted: 09/11/2021] [Indexed: 11/23/2022]
Abstract
Lipocalins are important carriers of preferentially hydrophobic molecules, but they can also bind other ligands, like highly polar siderophores or intact proteins. Consequently, they are involved in a variety of physiological processes in many species. Since lipocalins are mainly extracellular proteins, they have to interact with cell receptors to exert their biological effects. In contrast to the large number of lipocalins identified in the last years, the number of receptors known is still limited. Nevertheless, some novel findings concerning the molecules involved in cellular uptake or signaling effects of lipocalins have been made recently. This review presents a detailed overview of the receptors identified so far. The methods used for isolation or identification are described and structural as well as functional information on these proteins is presented essentially in chronological order of their initial discovery.
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65
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Poll BG, Xu J, Gupta K, Shubitowski TB, Pluznick JL. Olfactory receptor 78 modulates renin but not baseline blood pressure. Physiol Rep 2021; 9:e15017. [PMID: 34549531 PMCID: PMC8455973 DOI: 10.14814/phy2.15017] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 08/05/2021] [Accepted: 08/06/2021] [Indexed: 01/11/2023] Open
Abstract
Olfactory receptor 78 (Olfr78) is a G protein-coupled receptor (GPCR) that is expressed in the juxtaglomerular apparatus (JGA) of the kidney as well as the peripheral vasculature, and is activated by gut microbial metabolites. We previously reported that Olfr78 plays a role in renin secretion in isolated glomeruli, and that Olfr78 knockout (KO) mice have lower plasma renin activity. We also noted that in anesthetized mice, Olfr78KO appeared to be hypotensive. In this study, we used radiotelemetry to determine the role of Olfr78 in chronic blood pressure regulation. We found that the blood pressure of Olfr78KO mice is not significantly different than that of their WT counterparts at baseline, or on high- or low-salt diets. However, Olfr78KO mice have depressed heart rates on high-salt diets. We also report that Olfr78KO mice have lower renin protein levels associated with glomeruli. Finally, we developed a mouse where Olfr78 was selectively knocked out in the JGA, which phenocopied the lower renin association findings. In sum, these experiments suggest that Olfr78 modulates renin, but does not play an active role in blood pressure regulation at baseline, and is more likely activated by high levels of short chain fatty acids or hypotensive events. This study provides important context to our knowledge of Olfr78 in BP regulation.
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Affiliation(s)
- Brian G. Poll
- Department of PhysiologyJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Jiaojiao Xu
- Department of PhysiologyJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Kunal Gupta
- Department of PhysiologyJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Tyler B. Shubitowski
- Department of PhysiologyJohns Hopkins University School of MedicineBaltimoreMarylandUSA
- Oakland University William Beaumont School of MedicineRochesterMichiganUSA
| | - Jennifer L. Pluznick
- Department of PhysiologyJohns Hopkins University School of MedicineBaltimoreMarylandUSA
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66
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Sharma A, Saha BK, Kumar R, Varadwaj PK. OlfactionBase: a repository to explore odors, odorants, olfactory receptors and odorant-receptor interactions. Nucleic Acids Res 2021; 50:D678-D686. [PMID: 34469532 PMCID: PMC8728123 DOI: 10.1093/nar/gkab763] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 08/13/2021] [Accepted: 08/28/2021] [Indexed: 12/04/2022] Open
Abstract
Olfaction is a multi-stage process that initiates with the odorants entering the nose and terminates with the brain recognizing the odor associated with the odorant. In a very intricate way, the process incorporates various components functioning together and in synchronization. OlfactionBase is a free, open-access web server that aims to bring together knowledge about many aspects of the olfaction mechanism in one place. OlfactionBase contains detailed information of components like odors, odorants, and odorless compounds with physicochemical and ADMET properties, olfactory receptors (ORs), odorant- and pheromone binding proteins, OR-odorant interactions in Human and Mus musculus. The dynamic, user-friendly interface of the resource facilitates exploration of different entities: finding chemical compounds having desired odor, finding odorants associated with OR, associating chemical features with odor and OR, finding sequence information of ORs and related proteins. Finally, the data in OlfactionBase on odors, odorants, olfactory receptors, human and mouse OR-odorant pairs, and other associated proteins could aid in the inference and improved understanding of odor perception, which might provide new insights into the mechanism underlying olfaction. The OlfactionBase is available at https://bioserver.iiita.ac.in/olfactionbase/.
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Affiliation(s)
- Anju Sharma
- Department of Applied Science, Indian Institute of Information Technology, Allahabad, Uttar Pradesh 211015, India
| | | | - Rajnish Kumar
- Amity Institute of Biotechnology, Amity University Uttar Pradesh, Lucknow Campus, Uttar Pradesh 226028, India
| | - Pritish Kumar Varadwaj
- Department of Applied Science, Indian Institute of Information Technology, Allahabad, Uttar Pradesh 211015, India
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67
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A Genome-Wide Profiling of Glioma Patients with an IDH1 Mutation Using the Catalogue of Somatic Mutations in Cancer Database. Cancers (Basel) 2021; 13:cancers13174299. [PMID: 34503108 PMCID: PMC8428353 DOI: 10.3390/cancers13174299] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 08/20/2021] [Accepted: 08/21/2021] [Indexed: 02/08/2023] Open
Abstract
Simple Summary Glioma patients that present a somatic mutation in the isocitrate dehydrogenase 1 (IDH1) gene have a significantly better prognosis and overall survival than patients with the wild-type genotype. An IDH1 mutation is hypothesized to occur early during cellular transformation and leads to further genetic instability. A genome-wide profiling of glioma patients in the Catalogue of Somatic Mutations in Cancer (COSMIC) database was performed to classify the genetic differences in IDH1-mutant versus IDH1-wildtype patients. This classification will aid in a better understanding of how this specific mutation influences the genetic make-up of glioma and the resulting prognosis. Key differences in co-mutation and gene expression levels were identified that correlate with an improved prognosis. Abstract Gliomas are differentiated into two major disease subtypes, astrocytoma or oligodendroglioma, which are then characterized as either IDH (isocitrate dehydrogenase)-wild type or IDH-mutant due to the dramatic differences in prognosis and overall survival. Here, we investigated the genetic background of IDH1-mutant gliomas using the Catalogue of Somatic Mutations in Cancer (COSMIC) database. In astrocytoma patients, we found that IDH1 is often co-mutated with TP53, ATRX, AMBRA1, PREX1, and NOTCH1, but not CHEK2, EGFR, PTEN, or the zinc finger transcription factor ZNF429. The majority of the mutations observed in these genes were further confirmed to be either drivers or pathogenic by the Cancer-Related Analysis of Variants Toolkit (CRAVAT). Gene expression analysis showed down-regulation of DRG2 and MSN expression, both of which promote cell proliferation and invasion. There was also significant over-expression of genes such as NDRG3 and KCNB1 in IDH1-mutant astrocytoma patients. We conclude that IDH1-mutant glioma is characterized by significant genetic changes that could contribute to a better prognosis in glioma patients.
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68
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Zhang S, Li L, Li H. Role of ectopic olfactory receptors in glucose and lipid metabolism. Br J Pharmacol 2021; 178:4792-4807. [PMID: 34411276 DOI: 10.1111/bph.15666] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Revised: 05/25/2021] [Accepted: 08/11/2021] [Indexed: 12/25/2022] Open
Abstract
The metabolic syndrome has become one of the major public health challenges in the world, and adjusting glucose and lipid levels to their normal values is crucial for treating the metabolic syndrome. Olfactory receptors (ORs) expressed in extra-nasal tissues participate in diverse biological processes, including the regulation of glucose and lipid metabolism. Ectopic ORs can regulate a variety of metabolic events including insulin secretion, glucagon secretion, fatty acid oxidation, lipogenesis and thermogenesis. Understanding the physiological function and deciphering the olfactory recognition code by suitable ligands make ectopic ORs potential targets for the treatment of the metabolic syndrome. In this review, we delineate the roles and mechanisms of ectopic ORs in the regulation of glucose and lipid metabolism, summarize the corresponding natural ligands, and discuss existing problems and the therapeutic potential of targeting ORs in the metabolic syndrome.
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Affiliation(s)
- Siyu Zhang
- Institute of Pharmacology, Department of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, China
| | - Linghuan Li
- Institute of Pharmacology, Department of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, China
| | - Hanbing Li
- Institute of Pharmacology, Department of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, China.,Section of Endocrinology, School of Medicine, Yale University, New Haven, Connecticut, USA
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69
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Gupta R, Mittal A, Agrawal V, Gupta S, Gupta K, Jain RR, Garg P, Mohanty SK, Sogani R, Chhabra HS, Gautam V, Mishra T, Sengupta D, Ahuja G. OdoriFy: A conglomerate of artificial intelligence-driven prediction engines for olfactory decoding. J Biol Chem 2021; 297:100956. [PMID: 34265305 PMCID: PMC8342790 DOI: 10.1016/j.jbc.2021.100956] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 06/24/2021] [Accepted: 07/09/2021] [Indexed: 12/01/2022] Open
Abstract
The molecular mechanisms of olfaction, or the sense of smell, are relatively underexplored compared with other sensory systems, primarily because of its underlying molecular complexity and the limited availability of dedicated predictive computational tools. Odorant receptors (ORs) allow the detection and discrimination of a myriad of odorant molecules and therefore mediate the first step of the olfactory signaling cascade. To date, odorant (or agonist) information for the majority of these receptors is still unknown, limiting our understanding of their functional relevance in odor-induced behavioral responses. In this study, we introduce OdoriFy, a Web server featuring powerful deep neural network-based prediction engines. OdoriFy enables (1) identification of odorant molecules for wildtype or mutant human ORs (Odor Finder); (2) classification of user-provided chemicals as odorants/nonodorants (Odorant Predictor); (3) identification of responsive ORs for a query odorant (OR Finder); and (4) interaction validation using Odorant-OR Pair Analysis. In addition, OdoriFy provides the rationale behind every prediction it makes by leveraging explainable artificial intelligence. This module highlights the basis of the prediction of odorants/nonodorants at atomic resolution and for the ORs at amino acid levels. A key distinguishing feature of OdoriFy is that it is built on a comprehensive repertoire of manually curated information of human ORs with their known agonists and nonagonists, making it a highly interactive and resource-enriched Web server. Moreover, comparative analysis of OdoriFy predictions with an alternative structure-based ligand interaction method revealed comparable results. OdoriFy is available freely as a web service at https://odorify.ahujalab.iiitd.edu.in/olfy/.
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Affiliation(s)
- Ria Gupta
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India
| | - Aayushi Mittal
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India
| | - Vishesh Agrawal
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India
| | - Sushant Gupta
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India
| | - Krishan Gupta
- Department of Computer Science and Engineering, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India
| | - Rishi Raj Jain
- Department of Computer Science and Design, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India
| | - Prakriti Garg
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India
| | - Sanjay Kumar Mohanty
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India
| | - Riya Sogani
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India
| | - Harshit Singh Chhabra
- Department of Computer Science and Engineering, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India
| | - Vishakha Gautam
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India
| | - Tripti Mishra
- Pathfinder Research and Training Foundation, Greater Noida, Uttar Pradesh, India
| | - Debarka Sengupta
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India; Department of Computer Science and Engineering, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India; Centre for Artificial Intelligence, Indraprastha Institute of Information Technology, New Delhi, India; Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Gaurav Ahuja
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), New Delhi, India.
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70
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Smell compounds classification using UMAP to increase knowledge of odors and molecular structures linkages. PLoS One 2021; 16:e0252486. [PMID: 34048487 PMCID: PMC8162648 DOI: 10.1371/journal.pone.0252486] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 05/15/2021] [Indexed: 12/17/2022] Open
Abstract
This study aims to highlight the relationships between the structure of smell compounds and their odors. For this purpose, heterogeneous data sources were screened, and 6038 odorant compounds and their known associated odors (162 odor notes) were compiled, each individual molecule being represented with a set of 1024 structural fingerprint. Several dimensional reduction techniques (PCA, MDS, t-SNE and UMAP) with two clustering methods (k-means and agglomerative hierarchical clustering AHC) were assessed based on the calculated fingerprints. The combination of UMAP with k-means and AHC methods allowed to obtain a good representativeness of odors by clusters, as well as the best visualization of the proximity of odorants on the basis of their molecular structures. The presence or absence of molecular substructures has been calculated on odorant in order to link chemical groups to odors. The results of this analysis bring out some associations for both the odor notes and the chemical structures of the molecules such as "woody" and "spicy" notes with allylic and bicyclic structures, "balsamic" notes with unsaturated rings, both "sulfurous" and "citrus" with aldehydes, alcohols, carboxylic acids, amines and sulfur compounds, and "oily", "fatty" and "fruity" characterized by esters and with long carbon chains. Overall, the use of UMAP associated to clustering is a promising method to suggest hypotheses on the odorant structure-odor relationships.
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71
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Yan Y, Martinez R, Rasheed MN, Cahal J, Xu Z, Rui Y, Qualmann KJ, Hagan JP, Kim DH. Germline and somatic mutations in the pathology of pineal cyst: A whole-exome sequencing study of 93 individuals. Mol Genet Genomic Med 2021; 9:e1691. [PMID: 33943042 PMCID: PMC8222845 DOI: 10.1002/mgg3.1691] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 03/29/2021] [Accepted: 04/09/2021] [Indexed: 11/10/2022] Open
Abstract
Background Pineal cyst is a benign lesion commonly occurring in people of any age. Until now, the underlying molecular alterations have not been explored. Methods We performed whole exome sequencing of 93 germline samples and 21 pineal cyst tissue samples to illustrate its genetic architecture and somatic mutations. The dominant and recessive inheritance modes were considered, and a probability was calculated to evaluate the significance of variant overrepresentation. Results By analyzing pineal cyst as a Mendelian disease with a dominant inheritance pattern, we identified 42,325 rare germline variants, and NM_001004711.1:c.476A>G was highly enriched (FDR<0.2). By analyzing it as a recessive disorder, we identified 753 homozygous rare variants detected in at least one pineal cyst sample each. One STIM2 rare variant, NM_001169117.1:c.1652C>T, was overrepresented (FDR<0.05). Analyzing at a gene‐based level, we identified a list of the most commonlymutated germline genes, including POP4, GNGT2 and TMEM254. A somatic mutation analysis of 21 samples identified 16 variants in 15 genes, which mainly participated in the biological processes of gene expression and epigenetic regulation, immune response modulation, and transferase activity. Conclusion These molecular profiles are novel for this condition and provide data for investigators interested in pineal cysts.
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Affiliation(s)
- Yuanqing Yan
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Rebecca Martinez
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Maria N Rasheed
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Joshua Cahal
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Zhen Xu
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yanning Rui
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Krista J Qualmann
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - John P Hagan
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Dong H Kim
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.,Memorial Hermann Hospital, Mischer Neuroscience Institute, Houston, TX, USA
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72
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Smith TA, Moore BN, Matoso A, Berkowitz DE, DeBerry JJ, Pluznick JL. Identification of novel bladder sensory GPCRs. Physiol Rep 2021; 9:e14840. [PMID: 33932109 PMCID: PMC8087981 DOI: 10.14814/phy2.14840] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 03/10/2021] [Accepted: 03/12/2021] [Indexed: 01/08/2023] Open
Abstract
Sensory GPCRs such as olfactory receptors (ORs), taste receptors (TRs), and opsins (OPNs) are now known to play important physiological roles beyond their traditional sensory organs. Here, we systematically investigate the expression of sensory GPCRs in the urinary bladder for the first time. We find that the murine bladder expresses 16 ORs, 7 TRs, and 3 OPNs. We additionally explore the ectopic expression of these GPCRs in tissues beyond the bladder, as well as the localization within the bladder. In future work, understanding the functional roles of these bladder sensory GPCRs may shed light on novel mechanisms which modulate bladder function in health and disease.
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Affiliation(s)
- Tilmira A Smith
- Department of Physiology, Johns Hopkins University, Baltimore, MD, USA.,Wayne State University School of Medicine, Detriot, MI, USA
| | - Brittni N Moore
- Department of Physiology, Johns Hopkins University, Baltimore, MD, USA
| | - Andres Matoso
- Departments of Pathology, Urology, and Oncology, Johns Hopkins University, Baltimore, MD, USA
| | - Dan E Berkowitz
- Department of Anesthesiology and Perioperative Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jennifer J DeBerry
- Department of Anesthesiology and Perioperative Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
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73
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Raj S, Thalamuthu A, Armstrong NJ, Wright MJ, Kwok JB, Trollor JN, Ames D, Schofield PR, Brodaty H, Sachdev PS, Mather KA. Investigating Olfactory Gene Variation and Odour Identification in Older Adults. Genes (Basel) 2021; 12:genes12050669. [PMID: 33946865 PMCID: PMC8145954 DOI: 10.3390/genes12050669] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 04/27/2021] [Accepted: 04/27/2021] [Indexed: 11/16/2022] Open
Abstract
Ageing is associated with a decrease in odour identification. Additionally, deficits in olfaction have been linked to age-related disease and mortality. Heritability studies suggest genetic variation contributes to olfactory identification. The olfactory receptor (OR) gene family is the largest in the human genome and responsible for overall odour identification. In this study, we sought to find olfactory gene family variants associated with individual and overall odour identification and to examine the relationships between polygenic risk scores (PRS) for olfactory-related phenotypes and olfaction. Participants were Caucasian older adults from the Sydney Memory and Ageing Study and the Older Australian Twins Study with genome-wide genotyping data (n = 1395, mean age = 75.52 ± 6.45). The Brief-Smell Identification Test (BSIT) was administered in both cohorts. PRS were calculated from independent GWAS summary statistics for Alzheimer’s disease (AD), white matter hyperintensities (WMH), Parkinson’s disease (PD), hippocampal volume and smoking. Associations with olfactory receptor genes (n = 967), previously identified candidate olfaction-related SNPs (n = 36) and different PRS with BSIT scores (total and individual smells) were examined. All of the relationships were analysed using generalised linear mixed models (GLMM), adjusted for age and sex. Genes with suggestive evidence for odour identification were found for 8 of the 12 BSIT items. Thirteen out of 36 candidate SNPs previously identified from the literature were suggestively associated with several individual BSIT items but not total score. PRS for smoking, WMH and PD were negatively associated with chocolate identification. This is the first study to conduct genetic analyses with individual odorant identification, which found suggestive olfactory-related genes and genetic variants for multiple individual BSIT odours. Replication in independent and larger cohorts is needed.
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Affiliation(s)
- Siddharth Raj
- Centre for Healthy Brain Ageing, Faculty of Medicine, School of Psychiatry, University of New South Wales (UNSW), Sydney, NSW 2031, Australia; (S.R.); (A.T.); (J.N.T.); (H.B.); (P.S.S.)
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, Faculty of Medicine, School of Psychiatry, University of New South Wales (UNSW), Sydney, NSW 2031, Australia; (S.R.); (A.T.); (J.N.T.); (H.B.); (P.S.S.)
| | - Nicola J Armstrong
- Department of Mathematics and Statistics, Curtin University, Perth, WA 6102, Australia;
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, St. Lucia, QLD 4072, Australia;
- Centre for Advanced Imaging, University of Queensland, St. Lucia, QLD 4072, Australia
| | - John B Kwok
- School of Medical Sciences, University of Sydney, Sydney, NSW 2006, Australia;
| | - Julian N Trollor
- Centre for Healthy Brain Ageing, Faculty of Medicine, School of Psychiatry, University of New South Wales (UNSW), Sydney, NSW 2031, Australia; (S.R.); (A.T.); (J.N.T.); (H.B.); (P.S.S.)
- Department of Developmental Disability Neuropsychiatry, UNSW, Sydney, NSW 2031, Australia
| | - David Ames
- National Ageing Research Institute, Parkville, VIC 3052, Australia;
- Academic Unit for Psychiatry of Old Age, University of Melbourne, St George’s Hospital, Kew, Melbourne, VIC 3010, Australia
| | - Peter R Schofield
- Neuroscience Research Australia, Sydney, NSW 2031, Australia;
- School of Medical Sciences, UNSW, Sydney, NSW 2031, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, Faculty of Medicine, School of Psychiatry, University of New South Wales (UNSW), Sydney, NSW 2031, Australia; (S.R.); (A.T.); (J.N.T.); (H.B.); (P.S.S.)
- Dementia Collaborative Research Centre Assessment and Better Care, UNSW, Sydney, NSW 2031, Australia
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, Faculty of Medicine, School of Psychiatry, University of New South Wales (UNSW), Sydney, NSW 2031, Australia; (S.R.); (A.T.); (J.N.T.); (H.B.); (P.S.S.)
- Neuropsychiatric Institute, the Prince of Wales Hospital, Sydney, NSW 2031, Australia
| | - Karen A Mather
- Centre for Healthy Brain Ageing, Faculty of Medicine, School of Psychiatry, University of New South Wales (UNSW), Sydney, NSW 2031, Australia; (S.R.); (A.T.); (J.N.T.); (H.B.); (P.S.S.)
- Neuroscience Research Australia, Sydney, NSW 2031, Australia;
- Correspondence: ; Tel.: +61-(2)-9065-1347
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74
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Concas MP, Cocca M, Francescatto M, Battistuzzi T, Spedicati B, Feresin A, Morgan A, Gasparini P, Girotto G. The Role of Knockout Olfactory Receptor Genes in Odor Discrimination. Genes (Basel) 2021; 12:631. [PMID: 33922566 PMCID: PMC8145969 DOI: 10.3390/genes12050631] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 04/16/2021] [Accepted: 04/21/2021] [Indexed: 11/16/2022] Open
Abstract
To date, little is known about the role of olfactory receptor (OR) genes on smell performance. Thanks to the availability of whole-genome sequencing data of 802 samples, we identified 41 knockout (KO) OR genes (i.e., carriers of Loss of Function variants) and evaluated their effect on odor discrimination in 218 Italian individuals through recursive partitioning analysis. Furthermore, we checked the expression of these genes in human and mouse tissues using publicly available data and the presence of organ-related diseases in human KO (HKO) individuals for OR expressed in non-olfactory tissues (Fisher test). The recursive partitioning analysis showed that age and the high number (burden) of OR-KO genes impact the worsening of odor discrimination (p-value < 0.05). Human expression data showed that 33/41 OR genes are expressed in the olfactory system (OS) and 27 in other tissues. Sixty putative mouse homologs of the 41 humans ORs have been identified, 58 of which are expressed in the OS and 37 in other tissues. No association between OR-KO individuals and pathologies has been detected. In conclusion, our work highlights the role of the burden of OR-KO genes in worse odor discrimination.
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Affiliation(s)
- Maria Pina Concas
- Institute for Maternal and Child Health—IRCCS, Burlo Garofolo, 34127 Trieste, Italy; (M.P.C.); (M.C.); (P.G.); (G.G.)
| | - Massimiliano Cocca
- Institute for Maternal and Child Health—IRCCS, Burlo Garofolo, 34127 Trieste, Italy; (M.P.C.); (M.C.); (P.G.); (G.G.)
| | - Margherita Francescatto
- Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy; (M.F.); (B.S.); (A.F.)
| | - Thomas Battistuzzi
- Department of Life Sciences, University of Trieste, 34127 Trieste, Italy;
| | - Beatrice Spedicati
- Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy; (M.F.); (B.S.); (A.F.)
| | - Agnese Feresin
- Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy; (M.F.); (B.S.); (A.F.)
| | - Anna Morgan
- Institute for Maternal and Child Health—IRCCS, Burlo Garofolo, 34127 Trieste, Italy; (M.P.C.); (M.C.); (P.G.); (G.G.)
| | - Paolo Gasparini
- Institute for Maternal and Child Health—IRCCS, Burlo Garofolo, 34127 Trieste, Italy; (M.P.C.); (M.C.); (P.G.); (G.G.)
- Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy; (M.F.); (B.S.); (A.F.)
| | - Giorgia Girotto
- Institute for Maternal and Child Health—IRCCS, Burlo Garofolo, 34127 Trieste, Italy; (M.P.C.); (M.C.); (P.G.); (G.G.)
- Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy; (M.F.); (B.S.); (A.F.)
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75
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Ali MA, Wang Y, Qin Z, Yuan X, Zhang Y, Zeng C. Odorant and Taste Receptors in Sperm Chemotaxis and Cryopreservation: Roles and Implications in Sperm Capacitation, Motility and Fertility. Genes (Basel) 2021; 12:genes12040488. [PMID: 33801624 PMCID: PMC8065900 DOI: 10.3390/genes12040488] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 03/24/2021] [Accepted: 03/24/2021] [Indexed: 11/24/2022] Open
Abstract
Sperm chemotaxis, which guide sperm toward oocyte, is tightly associated with sperm capacitation, motility, and fertility. However, the molecular mechanism of sperm chemotaxis is not known. Reproductive odorant and taste receptors, belong to G-protein-coupled receptors (GPCR) super-family, cause an increase in intracellular Ca2+ concentration which is pre-requisite for sperm capacitation and acrosomal reaction, and result in sperm hyperpolarization and increase motility through activation of Ca2+-dependent Cl¯ channels. Recently, odorant receptors (ORs) in olfactory transduction pathway were thought to be associated with post-thaw sperm motility, freeze tolerance or freezability and cryo-capacitation-like change during cryopreservation. Investigation of the roles of odorant and taste receptors (TRs) is important for our understanding of the freeze tolerance or freezability mechanism and improve the motility and fertility of post-thaw sperm. Here, we reviewed the roles, mode of action, impact of odorant and taste receptors on sperm chemotaxis and post-thaw sperm quality.
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Affiliation(s)
- Malik Ahsan Ali
- College of Animal Science and Technology and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, Sichuan, China; (Y.W.); (Z.Q.); (X.Y.); (Y.Z.)
- Department of Theriogenology, Riphah College of Veterinary Sciences, Lahore 54000, Punjab, Pakistan;
- Department of Theriogenology, Faculty of Veterinary Science, University of Agriculture, Faisalabad 38000, Punjab, Pakistan
| | - Yihan Wang
- College of Animal Science and Technology and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, Sichuan, China; (Y.W.); (Z.Q.); (X.Y.); (Y.Z.)
| | - Ziyue Qin
- College of Animal Science and Technology and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, Sichuan, China; (Y.W.); (Z.Q.); (X.Y.); (Y.Z.)
| | - Xiang Yuan
- College of Animal Science and Technology and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, Sichuan, China; (Y.W.); (Z.Q.); (X.Y.); (Y.Z.)
| | - Yan Zhang
- College of Animal Science and Technology and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, Sichuan, China; (Y.W.); (Z.Q.); (X.Y.); (Y.Z.)
| | - Changjun Zeng
- College of Animal Science and Technology and Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, Sichuan, China; (Y.W.); (Z.Q.); (X.Y.); (Y.Z.)
- Correspondence: ; Tel./Fax: +86-28-86291010
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76
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Gupta K, Mohanty SK, Mittal A, Kalra S, Kumar S, Mishra T, Ahuja J, Sengupta D, Ahuja G. The Cellular basis of loss of smell in 2019-nCoV-infected individuals. Brief Bioinform 2021; 22:873-881. [PMID: 32810867 PMCID: PMC7462334 DOI: 10.1093/bib/bbaa168] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 06/10/2020] [Accepted: 07/05/2020] [Indexed: 12/28/2022] Open
Abstract
A prominent clinical symptom of 2019-novel coronavirus (nCoV) infection is hyposmia/anosmia (decrease or loss of sense of smell), along with general symptoms such as fatigue, shortness of breath, fever and cough. The identity of the cell lineages that underpin the infection-associated loss of olfaction could be critical for the clinical management of 2019-nCoV-infected individuals. Recent research has confirmed the role of angiotensin-converting enzyme 2 (ACE2) and transmembrane protease serine 2 (TMPRSS2) as key host-specific cellular moieties responsible for the cellular entry of the virus. Accordingly, the ongoing medical examinations and the autopsy reports of the deceased individuals indicate that organs/tissues with high expression levels of ACE2, TMPRSS2 and other putative viral entry-associated genes are most vulnerable to the infection. We studied if anosmia in 2019-nCoV-infected individuals can be explained by the expression patterns associated with these host-specific moieties across the known olfactory epithelial cell types, identified from a recently published single-cell expression study. Our findings underscore selective expression of these viral entry-associated genes in a subset of sustentacular cells (SUSs), Bowman's gland cells (BGCs) and stem cells of the olfactory epithelium. Co-expression analysis of ACE2 and TMPRSS2 and protein-protein interaction among the host and viral proteins elected regulatory cytoskeleton protein-enriched SUSs as the most vulnerable cell type of the olfactory epithelium. Furthermore, expression, structural and docking analyses of ACE2 revealed the potential risk of olfactory dysfunction in four additional mammalian species, revealing an evolutionarily conserved infection susceptibility. In summary, our findings provide a plausible cellular basis for the loss of smell in 2019-nCoV-infected patients.
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Affiliation(s)
- Krishan Gupta
- Indraprastha Institute of Information Technology, Delhi
| | | | | | | | - Suvendu Kumar
- Indraprastha Institute of Information Technology, Delhi
| | - Tripti Mishra
- Indraprastha Institute of Information Technology, Delhi
| | - Jatin Ahuja
- Indraprastha Institute of Information Technology, Delhi
| | | | - Gaurav Ahuja
- Indraprastha Institute of Information Technology, Delhi
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77
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Jimenez RC, Casajuana-Martin N, García-Recio A, Alcántara L, Pardo L, Campillo M, Gonzalez A. The mutational landscape of human olfactory G protein-coupled receptors. BMC Biol 2021; 19:21. [PMID: 33546694 PMCID: PMC7866472 DOI: 10.1186/s12915-021-00962-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 01/15/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Olfactory receptors (ORs) constitute a large family of sensory proteins that enable us to recognize a wide range of chemical volatiles in the environment. By contrast to the extensive information about human olfactory thresholds for thousands of odorants, studies of the genetic influence on olfaction are limited to a few examples. To annotate on a broad scale the impact of mutations at the structural level, here we analyzed a compendium of 119,069 natural variants in human ORs collected from the public domain. RESULTS OR mutations were categorized depending on their genomic and protein contexts, as well as their frequency of occurrence in several human populations. Functional interpretation of the natural changes was estimated from the increasing knowledge of the structure and function of the G protein-coupled receptor (GPCR) family, to which ORs belong. Our analysis reveals an extraordinary diversity of natural variations in the olfactory gene repertoire between individuals and populations, with a significant number of changes occurring at the structurally conserved regions. A particular attention is paid to mutations in positions linked to the conserved GPCR activation mechanism that could imply phenotypic variation in the olfactory perception. An interactive web application (hORMdb, Human Olfactory Receptor Mutation Database) was developed for the management and visualization of this mutational dataset. CONCLUSION We performed topological annotations and population analysis of natural variants of human olfactory receptors and provide an interactive application to explore human OR mutation data. We envisage that the utility of this information will increase as the amount of available pharmacological data for these receptors grow. This effort, together with ongoing research in the study of genetic changes in other sensory receptors could shape an emerging sensegenomics field of knowledge, which should be considered by food and cosmetic consumer product manufacturers for the benefit of the general population.
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Affiliation(s)
- Ramón Cierco Jimenez
- Laboratori de Medicina Computacional, Unitat de Bioestadística, Facultat de Medicina, Universitat Autònoma de Barcelona, E-08193, Bellaterra, Spain
- Present Address: International Agency for Research on Cancer, Evidence Synthesis and Classification Section, WHO Classification of Tumours Group, 150 Cours Albert Thomas, 69008, Lyon, France
| | - Nil Casajuana-Martin
- Laboratori de Medicina Computacional, Unitat de Bioestadística, Facultat de Medicina, Universitat Autònoma de Barcelona, E-08193, Bellaterra, Spain
| | - Adrián García-Recio
- Laboratori de Medicina Computacional, Unitat de Bioestadística, Facultat de Medicina, Universitat Autònoma de Barcelona, E-08193, Bellaterra, Spain
| | - Lidia Alcántara
- Laboratori de Medicina Computacional, Unitat de Bioestadística, Facultat de Medicina, Universitat Autònoma de Barcelona, E-08193, Bellaterra, Spain
| | - Leonardo Pardo
- Laboratori de Medicina Computacional, Unitat de Bioestadística, Facultat de Medicina, Universitat Autònoma de Barcelona, E-08193, Bellaterra, Spain
| | - Mercedes Campillo
- Laboratori de Medicina Computacional, Unitat de Bioestadística, Facultat de Medicina, Universitat Autònoma de Barcelona, E-08193, Bellaterra, Spain
| | - Angel Gonzalez
- Laboratori de Medicina Computacional, Unitat de Bioestadística, Facultat de Medicina, Universitat Autònoma de Barcelona, E-08193, Bellaterra, Spain.
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78
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Meunier N, Briand L, Jacquin-Piques A, Brondel L, Pénicaud L. COVID 19-Induced Smell and Taste Impairments: Putative Impact on Physiology. Front Physiol 2021; 11:625110. [PMID: 33574768 PMCID: PMC7870487 DOI: 10.3389/fphys.2020.625110] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 12/31/2020] [Indexed: 12/18/2022] Open
Abstract
Smell and taste impairments are recognized as common symptoms in COVID 19 patients even in an asymptomatic phase. Indeed, depending on the country, in up to 85-90% of cases anosmia and dysgeusia are reported. We will review briefly the main mechanisms involved in the physiology of olfaction and taste focusing on receptors and transduction as well as the main neuroanatomical pathways. Then we will examine the current evidences, even if still fragmented and unsystematic, explaining the disturbances and mode of action of the virus at the level of the nasal and oral cavities. We will focus on its impact on the peripheral and central nervous system. Finally, considering the role of smell and taste in numerous physiological functions, especially in ingestive behavior, we will discuss the consequences on the physiology of the patients as well as management regarding food intake.
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Affiliation(s)
- Nicolas Meunier
- Université Paris-Saclay, INRAE, UVSQ, VIM, Jouy-en-Josas, France
| | - Loïc Briand
- Centre des Sciences du Goût et de l’Alimentation, AgroSup Dijon, CNRS UMR6265, INRAE UMR 1324, Université de Bourgogne Franche Comté, Dijon, France
| | - Agnès Jacquin-Piques
- Centre des Sciences du Goût et de l’Alimentation, AgroSup Dijon, CNRS UMR6265, INRAE UMR 1324, Université de Bourgogne Franche Comté, Dijon, France
- Department of Clinical Neurophysiology, University Hospital, Dijon, France
| | - Laurent Brondel
- Centre des Sciences du Goût et de l’Alimentation, AgroSup Dijon, CNRS UMR6265, INRAE UMR 1324, Université de Bourgogne Franche Comté, Dijon, France
| | - Luc Pénicaud
- STROMALab, Université de Toulouse, CNRS ERL 5311, Inserm U1031, Université Paul Sabatier (UPS), Toulouse, France
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79
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Sharma A, Kumar R, Ranjta S, Varadwaj PK. SMILES to Smell: Decoding the Structure-Odor Relationship of Chemical Compounds Using the Deep Neural Network Approach. J Chem Inf Model 2021; 61:676-688. [PMID: 33449694 DOI: 10.1021/acs.jcim.0c01288] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Finding the relationship between the structure of an odorant molecule and its associated smell has always been an extremely challenging task. The major limitation in establishing the structure-odor relation is the vague and ambiguous nature of the descriptor-labeling, especially when the sources of odorant molecules are different. With the advent of deep networks, data-driven approaches have been substantiated to achieve more accurate linkages between the chemical structure and its smell. In this study, the deep neural network (DNN) with physiochemical properties and molecular fingerprints (PPMF) and the convolution neural network (CNN) with chemical-structure images (IMG) are developed to predict the smells of chemicals using their SMILES notations. A data set of 5185 chemical compounds with 104 smell percepts was used to develop the multilabel prediction models. The accuracies of smell prediction from DNN + PPMF and CNN + IMG (Xception based) were found to be 97.3 and 98.3%, respectively, when applied on an independent test set of chemicals. The deep learning architecture combining both DNN + PPMF and CNN + IMG prediction models is proposed, which classifies smells and may help understand the generic mechanism underlying the relationship between chemical structure and smell perception.
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Affiliation(s)
- Anju Sharma
- Department of Applied Science, Indian Institute of Information Technology, Allahabad 211012, Uttar Pradesh, India.,Amity Institute of Biotechnology, Amity University Uttar Pradesh, Lucknow Campus 226010, Uttar Pradesh, India
| | - Rajnish Kumar
- Amity Institute of Biotechnology, Amity University Uttar Pradesh, Lucknow Campus 226010, Uttar Pradesh, India
| | - Shabnam Ranjta
- Department of Chemistry, SGGS College, Chandigarh 160019, India
| | - Pritish Kumar Varadwaj
- Department of Applied Science, Indian Institute of Information Technology, Allahabad 211012, Uttar Pradesh, India
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80
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Wei T, Fa B, Luo C, Johnston L, Zhang Y, Yu Z. An Efficient and Easy-to-Use Network-Based Integrative Method of Multi-Omics Data for Cancer Genes Discovery. Front Genet 2021; 11:613033. [PMID: 33488678 PMCID: PMC7820902 DOI: 10.3389/fgene.2020.613033] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 11/25/2020] [Indexed: 12/25/2022] Open
Abstract
Identifying personalized driver genes is essential for discovering critical biomarkers and developing effective personalized therapies of cancers. However, few methods consider weights for different types of mutations and efficiently distinguish driver genes over a larger number of passenger genes. We propose MinNetRank (Minimum used for Network-based Ranking), a new method for prioritizing cancer genes that sets weights for different types of mutations, considers the incoming and outgoing degree of interaction network simultaneously, and uses minimum strategy to integrate multi-omics data. MinNetRank prioritizes cancer genes among multi-omics data for each sample. The sample-specific rankings of genes are then integrated into a population-level ranking. When evaluating the accuracy and robustness of prioritizing driver genes, our method almost always significantly outperforms other methods in terms of precision, F1 score, and partial area under the curve (AUC) on six cancer datasets. Importantly, MinNetRank is efficient in discovering novel driver genes. SP1 is selected as a candidate driver gene only by our method (ranked top three), and SP1 RNA and protein differential expression between tumor and normal samples are statistically significant in liver hepatocellular carcinoma. The top seven genes stratify patients into two subtypes exhibiting statistically significant survival differences in five cancer types. These top seven genes are associated with overall survival, as illustrated by previous researchers. MinNetRank can be very useful for identifying cancer driver genes, and these biologically relevant marker genes are associated with clinical outcome. The R package of MinNetRank is available at https://github.com/weitinging/MinNetRank.
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Affiliation(s)
- Ting Wei
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.,SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, Shanghai, China
| | - Botao Fa
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.,SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, Shanghai, China
| | - Chengwen Luo
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.,SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, Shanghai, China
| | - Luke Johnston
- SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, Shanghai, China
| | - Yue Zhang
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.,SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, Shanghai, China
| | - Zhangsheng Yu
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.,SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, Shanghai, China
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81
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An Odor Labeling Convolutional Encoder-Decoder for Odor Sensing in Machine Olfaction. SENSORS 2021; 21:s21020388. [PMID: 33429893 PMCID: PMC7826699 DOI: 10.3390/s21020388] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 12/30/2020] [Accepted: 01/05/2021] [Indexed: 12/11/2022]
Abstract
Deep learning methods have been widely applied to visual and acoustic technology. In this paper, we propose an odor labeling convolutional encoder–decoder (OLCE) for odor identification in machine olfaction. OLCE composes a convolutional neural network encoder and decoder where the encoder output is constrained to odor labels. An electronic nose was used for the data collection of gas responses followed by a normative experimental procedure. Several evaluation indexes were calculated to evaluate the algorithm effectiveness: accuracy 92.57%, precision 92.29%, recall rate 92.06%, F1-Score 91.96%, and Kappa coefficient 90.76%. We also compared the model with some algorithms used in machine olfaction. The comparison result demonstrated that OLCE had the best performance among these algorithms.
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82
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Kurian SM, Naressi RG, Manoel D, Barwich AS, Malnic B, Saraiva LR. Odor coding in the mammalian olfactory epithelium. Cell Tissue Res 2021; 383:445-456. [PMID: 33409650 PMCID: PMC7873010 DOI: 10.1007/s00441-020-03327-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 10/27/2020] [Indexed: 12/31/2022]
Abstract
Noses are extremely sophisticated chemical detectors allowing animals to use scents to interpret and navigate their environments. Odor detection starts with the activation of odorant receptors (ORs), expressed in mature olfactory sensory neurons (OSNs) populating the olfactory mucosa. Different odorants, or different concentrations of the same odorant, activate unique ensembles of ORs. This mechanism of combinatorial receptor coding provided a possible explanation as to why different odorants are perceived as having distinct odors. Aided by new technologies, several recent studies have found that antagonist interactions also play an important role in the formation of the combinatorial receptor code. These findings mark the start of a new era in the study of odorant-receptor interactions and add a new level of complexity to odor coding in mammals.
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Affiliation(s)
| | | | | | | | - Bettina Malnic
- Department of Biochemistry, University of São Paulo, São Paulo, Brazil.
| | - Luis R Saraiva
- Sidra Medicine, Doha, Qatar.
- Monell Chemical Senses Center, Philadelphia, USA.
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar.
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83
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Zhang Y, Long Y, Yu S, Li D, Yang M, Guan Y, Zhang D, Wan J, Liu S, Shi A, Li N, Peng W. Natural volatile oils derived from herbal medicines: A promising therapy way for treating depressive disorder. Pharmacol Res 2020; 164:105376. [PMID: 33316383 DOI: 10.1016/j.phrs.2020.105376] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 12/08/2020] [Accepted: 12/08/2020] [Indexed: 12/30/2022]
Abstract
Depression is a common global mental disorder that seriously harms human physical and mental health. With the development of society, the increase of pressure and the role of various other factors make the incidence of depression increase year by year. However, there is a lack of drugs that have a fast onset, significant effects, and few side effects. Some volatile oils from traditional natural herbal medicines are usually used to relieve depression and calm emotions, such as Lavender essential oil and Acorus tatarinowii essential oil. It was reported that these volatile oils, are easy to enter the brain through the blood-brain barrier and have good antidepressant effects with little toxicity and side effects. In this review, we summarized the classification of depression, and listed the history of using volatile oils to fight depression in some countries. Importantly, we summarized the anti-depressant natural volatile oils and their monomers from herbal medicine, discussed the anti-depressive mechanisms of the volatile oils from natural medicine. The volatile oils of natural medicine and antidepressant drugs were compared and analyzed, and the application of volatile oils was explained from the clinical use and administration routes. This review would be helpful for the development of potential anti-depressant medicine and provide new alternative treatments for depressive disorders.
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Affiliation(s)
- Yulu Zhang
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, No. 1166, Liutai Avenue, Chengdu, 611137, PR China
| | - Yu Long
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, No. 1166, Liutai Avenue, Chengdu, 611137, PR China
| | - Shuang Yu
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, No. 1166, Liutai Avenue, Chengdu, 611137, PR China
| | - Dan Li
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, No. 1166, Liutai Avenue, Chengdu, 611137, PR China
| | - Ming Yang
- Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Traditional Chinese Medicine, No.1688 Meiling Avenue, Nanchang, 330004, China
| | - Yongmei Guan
- Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Traditional Chinese Medicine, No.1688 Meiling Avenue, Nanchang, 330004, China
| | - Dingkun Zhang
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, No. 1166, Liutai Avenue, Chengdu, 611137, PR China
| | - Jinyan Wan
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, No. 1166, Liutai Avenue, Chengdu, 611137, PR China
| | - Songyu Liu
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, No. 1166, Liutai Avenue, Chengdu, 611137, PR China
| | - Ai Shi
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, No. 1166, Liutai Avenue, Chengdu, 611137, PR China
| | - Nan Li
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, No. 1166, Liutai Avenue, Chengdu, 611137, PR China.
| | - Wei Peng
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, No. 1166, Liutai Avenue, Chengdu, 611137, PR China.
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84
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Lankford CK, Laird JG, Inamdar SM, Baker SA. A Comparison of the Primary Sensory Neurons Used in Olfaction and Vision. Front Cell Neurosci 2020; 14:595523. [PMID: 33250719 PMCID: PMC7676898 DOI: 10.3389/fncel.2020.595523] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Accepted: 10/06/2020] [Indexed: 12/18/2022] Open
Abstract
Vision, hearing, smell, taste, and touch are the tools used to perceive and navigate the world. They enable us to obtain essential resources such as food and highly desired resources such as mates. Thanks to the investments in biomedical research the molecular unpinning’s of human sensation are rivaled only by our knowledge of sensation in the laboratory mouse. Humans rely heavily on vision whereas mice use smell as their dominant sense. Both modalities have many features in common, starting with signal detection by highly specialized primary sensory neurons—rod and cone photoreceptors (PR) for vision, and olfactory sensory neurons (OSN) for the smell. In this chapter, we provide an overview of how these two types of primary sensory neurons operate while highlighting the similarities and distinctions.
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Affiliation(s)
- Colten K Lankford
- Department of Biochemistry, University of Iowa, Iowa City, IA, United States
| | - Joseph G Laird
- Department of Biochemistry, University of Iowa, Iowa City, IA, United States
| | - Shivangi M Inamdar
- Department of Biochemistry, University of Iowa, Iowa City, IA, United States
| | - Sheila A Baker
- Department of Biochemistry, University of Iowa, Iowa City, IA, United States.,Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA, United States
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85
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Ben Khemis I, Mechi N, Ben Lamine A. Investigation of mouse eugenol olfactory receptor activated by eugenol, vanillin and ethyl vanillin: Steric and energetic characterizations. Int J Biol Macromol 2020; 163:2325-2333. [DOI: 10.1016/j.ijbiomac.2020.09.119] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 09/16/2020] [Indexed: 11/30/2022]
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86
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Bhattacharjee AS, Joshi SV, Naik S, Sangle S, Abraham NM. Quantitative assessment of olfactory dysfunction accurately detects asymptomatic COVID-19 carriers. EClinicalMedicine 2020; 28:100575. [PMID: 33083773 PMCID: PMC7562772 DOI: 10.1016/j.eclinm.2020.100575] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 09/16/2020] [Accepted: 09/17/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND COVID-19 threatens the global community because a large fraction of infected people are asymptomatic, yet can effectively transmit SARS-CoV-2. Finding and isolating these silent carriers is a crucial step in confining the spread of the disease. A sudden loss of the sense of smell has been self-reported by COVID-19 patients across different countries, consistent with expression of the molecular factors mediating SARS-CoV-2 uptake into human olfactory epithelial supporting cells. However, precise quantification of olfactory loss in asymptomatic COVID-19 carriers is missing to date. METHODS To quantify olfactory functions in asymptomatic COVID-19 patients, we designed an olfactory-action meter that determines detectability indices at different odor concentrations and an olfactory matching accuracy score using monomolecular odors. The optimization of test parameters allowed us to reliably and accurately assess olfactory deficits in a patient within 20 minutes. FINDINGS Measurement of detection indices at low concentrations revealed a 50% reduction in asymptomatic COVID-19 carriers. Further, patients with better detection scores showed significantly reduced olfactory matching accuracies compared to normal healthy subjects. Our quantification of olfactory loss, considering all parameters, identified 82% of the asymptomatic SARS-CoV-2 carriers with olfactory deficits. However, on subjective evaluation, only 15% of the patients noticed a compromised ability to smell. INTERPRETATION Compromised olfactory fitness can serve as a strong basis for identifying asymptomatic COVID-19 patients. Detailed design specifications and protocols provided here should enable the development of a sensitive, fast, and economical screening strategy that can be administered to large populations to prevent the rapid spread of COVID-19. FUNDING This work was supported by the DBT - Wellcome Trust India Alliance intermediate grant (IA/I/14/1/501,306 to N.A.) and UGC NET Fellowship (A.B.). All the funding sources played no roles in the study.
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Affiliation(s)
| | - Samir V. Joshi
- Byramjee Jeejeebhoy Government Medical College and Sassoon General Hospitals (BJGMC & SGH), Pune, Maharashtra, 411001, India
| | - Shilpa Naik
- Byramjee Jeejeebhoy Government Medical College and Sassoon General Hospitals (BJGMC & SGH), Pune, Maharashtra, 411001, India
| | - Shashikala Sangle
- Byramjee Jeejeebhoy Government Medical College and Sassoon General Hospitals (BJGMC & SGH), Pune, Maharashtra, 411001, India
| | - Nixon M. Abraham
- Indian Institute of Science Education and Research (IISER), Pune, Maharashtra, 411008, India
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87
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Gisladottir RS, Ivarsdottir EV, Helgason A, Jonsson L, Hannesdottir NK, Rutsdottir G, Arnadottir GA, Skuladottir A, Jonsson BA, Norddahl GL, Ulfarsson MO, Helgason H, Halldorsson BV, Nawaz MS, Tragante V, Sveinbjornsson G, Thorgeirsson T, Oddsson A, Kristjansson RP, Bjornsdottir G, Thorgeirsson G, Jonsdottir I, Holm H, Gudbjartsson DF, Thorsteinsdottir U, Stefansson H, Sulem P, Stefansson K. Sequence Variants in TAAR5 and Other Loci Affect Human Odor Perception and Naming. Curr Biol 2020; 30:4643-4653.e3. [PMID: 33035477 DOI: 10.1016/j.cub.2020.09.012] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 04/17/2020] [Accepted: 09/03/2020] [Indexed: 11/17/2022]
Abstract
Olfactory receptor (OR) genes in humans form a special class characterized by unusually high DNA sequence diversity, which should give rise to differences in perception and behavior. In the largest genome-wide association study to date based on olfactory testing, we investigated odor perception and naming with smell tasks performed by 9,122 Icelanders, with replication in a separate sample of 2,204 individuals. We discovered an association between a low-frequency missense variant in TAAR5 and reduced intensity rating of fish odor containing trimethylamine (p.Ser95Pro, pcombined = 5.6 × 10-15). We demonstrate that TAAR5 genotype affects aversion to fish odor, reflected by linguistic descriptions of the odor and pleasantness ratings. We also discovered common sequence variants in two canonical olfactory receptor loci that associate with increased intensity and naming of licorice odor (trans-anethole: lead variant p.Lys233Asn in OR6C70, pcombined = 8.8 × 10-16 and pcombined = 1.4 × 10-9) and enhanced naming of cinnamon (trans-cinnamaldehyde; intergenic variant rs317787-T, pcombined = 5.0 × 10-17). Together, our results show that TAAR5 genotype variation influences human odor responses and highlight that sequence diversity in canonical OR genes can lead to enhanced olfactory ability, in contrast to the view that greater tolerance for mutations in the human OR repertoire leads to diminished function.
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Affiliation(s)
- Rosa S Gisladottir
- deCODE Genetics/Amgen Inc., Sturlugata 8, 101 Reykjavik, Iceland; School of Humanities, University of Iceland, Saemundargata 2, 102 Reykjavik, Iceland.
| | - Erna V Ivarsdottir
- deCODE Genetics/Amgen Inc., Sturlugata 8, 101 Reykjavik, Iceland; School of Engineering and Natural Sciences, University of Iceland, Dunhagi 5, 107 Reykjavik, Iceland
| | - Agnar Helgason
- deCODE Genetics/Amgen Inc., Sturlugata 8, 101 Reykjavik, Iceland; Department of Anthropology, University of Iceland, Saemundargata 10, 102 Reykjavik, Iceland
| | - Lina Jonsson
- deCODE Genetics/Amgen Inc., Sturlugata 8, 101 Reykjavik, Iceland; Department of Pharmacology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Medicinaregatan 13, SE-405 30, Gothenburg, Sweden; The Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Blå Stråket 15, 413 45, Gothenburg, Sweden
| | | | | | | | | | | | | | - Magnus O Ulfarsson
- deCODE Genetics/Amgen Inc., Sturlugata 8, 101 Reykjavik, Iceland; Faculty of Electrical and Computer Engineering, University of Iceland, Dunhagi 5, 107 Reykjavik, Iceland
| | - Hannes Helgason
- deCODE Genetics/Amgen Inc., Sturlugata 8, 101 Reykjavik, Iceland
| | - Bjarni V Halldorsson
- deCODE Genetics/Amgen Inc., Sturlugata 8, 101 Reykjavik, Iceland; School of Technology, Reykjavik University, Menntavegur 1, 101 Reykjavik, Iceland
| | - Muhammad S Nawaz
- deCODE Genetics/Amgen Inc., Sturlugata 8, 101 Reykjavik, Iceland
| | | | | | | | - Asmundur Oddsson
- deCODE Genetics/Amgen Inc., Sturlugata 8, 101 Reykjavik, Iceland
| | | | | | - Gudmundur Thorgeirsson
- deCODE Genetics/Amgen Inc., Sturlugata 8, 101 Reykjavik, Iceland; Faculty of Medicine, University of Iceland, Vatnsmyrarvegur 16, 101 Reykjavik, Iceland; Division of Cardiology, Department of Internal Medicine, Landspitali, The National University Hospital of Iceland, Hringbraut, 101 Reykjavik, Iceland
| | - Ingileif Jonsdottir
- deCODE Genetics/Amgen Inc., Sturlugata 8, 101 Reykjavik, Iceland; Faculty of Medicine, University of Iceland, Vatnsmyrarvegur 16, 101 Reykjavik, Iceland; Department of Immunology, Landspitali, The National University Hospital of Iceland, Hringbraut, 101 Reykjavik, Iceland
| | - Hilma Holm
- deCODE Genetics/Amgen Inc., Sturlugata 8, 101 Reykjavik, Iceland
| | - Daniel F Gudbjartsson
- deCODE Genetics/Amgen Inc., Sturlugata 8, 101 Reykjavik, Iceland; School of Engineering and Natural Sciences, University of Iceland, Dunhagi 5, 107 Reykjavik, Iceland
| | - Unnur Thorsteinsdottir
- deCODE Genetics/Amgen Inc., Sturlugata 8, 101 Reykjavik, Iceland; Faculty of Medicine, University of Iceland, Vatnsmyrarvegur 16, 101 Reykjavik, Iceland
| | | | - Patrick Sulem
- deCODE Genetics/Amgen Inc., Sturlugata 8, 101 Reykjavik, Iceland
| | - Kari Stefansson
- deCODE Genetics/Amgen Inc., Sturlugata 8, 101 Reykjavik, Iceland; Faculty of Medicine, University of Iceland, Vatnsmyrarvegur 16, 101 Reykjavik, Iceland.
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88
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Sarkar A, Harty S, Johnson KVA, Moeller AH, Carmody RN, Lehto SM, Erdman SE, Dunbar RIM, Burnet PWJ. The role of the microbiome in the neurobiology of social behaviour. Biol Rev Camb Philos Soc 2020; 95:1131-1166. [PMID: 32383208 PMCID: PMC10040264 DOI: 10.1111/brv.12603] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 04/01/2020] [Accepted: 04/02/2020] [Indexed: 12/13/2022]
Abstract
Microbes colonise all multicellular life, and the gut microbiome has been shown to influence a range of host physiological and behavioural phenotypes. One of the most intriguing and least understood of these influences lies in the domain of the microbiome's interactions with host social behaviour, with new evidence revealing that the gut microbiome makes important contributions to animal sociality. However, little is known about the biological processes through which the microbiome might influence host social behaviour. Here, we synthesise evidence of the gut microbiome's interactions with various aspects of host sociality, including sociability, social cognition, social stress, and autism. We discuss evidence of microbial associations with the most likely physiological mediators of animal social interaction. These include the structure and function of regions of the 'social' brain (the amygdala, the prefrontal cortex, and the hippocampus) and the regulation of 'social' signalling molecules (glucocorticoids including corticosterone and cortisol, sex hormones including testosterone, oestrogens, and progestogens, neuropeptide hormones such as oxytocin and arginine vasopressin, and monoamine neurotransmitters such as serotonin and dopamine). We also discuss microbiome-associated host genetic and epigenetic processes relevant to social behaviour. We then review research on microbial interactions with olfaction in insects and mammals, which contribute to social signalling and communication. Following these discussions, we examine evidence of microbial associations with emotion and social behaviour in humans, focussing on psychobiotic studies, microbe-depression correlations, early human development, autism, and issues of statistical power, replication, and causality. We analyse how the putative physiological mediators of the microbiome-sociality connection may be investigated, and discuss issues relating to the interpretation of results. We also suggest that other candidate molecules should be studied, insofar as they exert effects on social behaviour and are known to interact with the microbiome. Finally, we consider different models of the sequence of microbial effects on host physiological development, and how these may contribute to host social behaviour.
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Affiliation(s)
- Amar Sarkar
- Trinity College, Trinity Street, University of Cambridge, Cambridge, CB2 1TQ, U.K.,Leverhulme Centre for Human Evolutionary Studies, Department of Archaeology, Fitzwilliam Street, University of Cambridge, Cambridge, CB2 1QH, U.K
| | - Siobhán Harty
- Institute of Neuroscience, Trinity College Dublin, Dublin 2, Dublin, Ireland.,School of Psychology, Trinity College Dublin, Dublin 2, Dublin, Ireland
| | - Katerina V-A Johnson
- Department of Experimental Psychology, Radcliffe Observatory Quarter, University of Oxford, Oxford, OX2 6GG, U.K.,Pembroke College, University of Oxford, Oxford, OX1 1DW, U.K.,Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, OX3 7JX, U.K
| | - Andrew H Moeller
- Department of Ecology and Evolutionary Biology, Corson Hall, Tower Road, Cornell University, Ithaca, NY, 14853, U.S.A
| | - Rachel N Carmody
- Department of Human Evolutionary Biology, Harvard University, Peabody Museum, 11 Divinity Avenue, Cambridge, Massachusetts, 02138, USA
| | - Soili M Lehto
- Psychiatry, University of Helsinki and Helsinki University Hospital, PL 590, FI-00029, Helsinki, Finland.,Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, P.O. Box 6, FI-00014, Helsinki, Finland.,Institute of Clinical Medicine/Psychiatry, University of Eastern Finland, P.O. Box 1627, FI-70211, Kuopio, Finland
| | - Susan E Erdman
- Division of Comparative Medicine, Massachusetts Institute of Technology, Building 16-825, 77 Massachusetts Avenue, Cambridge, MA, 02139, U.S.A
| | - Robin I M Dunbar
- Department of Experimental Psychology, Radcliffe Observatory Quarter, University of Oxford, Oxford, OX2 6GG, U.K
| | - Philip W J Burnet
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, OX3 7JX, U.K
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89
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Kalra S, Mittal A, Gupta K, Singhal V, Gupta A, Mishra T, Naidu S, Sengupta D, Ahuja G. Analysis of single-cell transcriptomes links enrichment of olfactory receptors with cancer cell differentiation status and prognosis. Commun Biol 2020; 3:506. [PMID: 32917933 PMCID: PMC7486295 DOI: 10.1038/s42003-020-01232-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Accepted: 07/20/2020] [Indexed: 12/11/2022] Open
Abstract
Ectopically expressed olfactory receptors (ORs) have been linked with multiple clinically-relevant physiological processes. Previously used tissue-level expression estimation largely shadowed the potential role of ORs due to their overall low expression levels. Even after the introduction of the single-cell transcriptomics, a comprehensive delineation of expression dynamics of ORs in tumors remained unexplored. Our targeted investigation into single malignant cells revealed a complex landscape of combinatorial OR expression events. We observed differentiation-dependent decline in expressed OR counts per cell as well as their expression intensities in malignant cells. Further, we constructed expression signatures based on a large spectrum of ORs and tracked their enrichment in bulk expression profiles of tumor samples from The Cancer Genome Atlas (TCGA). TCGA tumor samples stratified based on OR-centric signatures exhibited divergent survival probabilities. In summary, our comprehensive analysis positions ORs at the cross-road of tumor cell differentiation status and cancer prognosis.
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Affiliation(s)
- Siddhant Kalra
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), Okhla, Phase III, New Delhi, 110020, India
| | - Aayushi Mittal
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), Okhla, Phase III, New Delhi, 110020, India
| | - Krishan Gupta
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), Okhla, Phase III, New Delhi, 110020, India.,Department of Computer Science and Engineering, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), Okhla, Phase III, New Delhi, 110020, India
| | - Vrinda Singhal
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), Okhla, Phase III, New Delhi, 110020, India
| | - Anku Gupta
- Department of Computer Science and Engineering, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), Okhla, Phase III, New Delhi, 110020, India
| | - Tripti Mishra
- Pathfinder Research and Training Foundation, 30/7 and 8, Knowledge Park III, Greater Noida, Uttar Pradesh, 201308, India
| | - Srivatsava Naidu
- Center for Biomedical Engineering, Indian Institute of Technology Ropar, Bara Phool, Birla Seed Farms, Rupnagar, Punjab, 140001, India
| | - Debarka Sengupta
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), Okhla, Phase III, New Delhi, 110020, India. .,Department of Computer Science and Engineering, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), Okhla, Phase III, New Delhi, 110020, India. .,Centre for Artificial Intelligence, Indraprastha Institute of Information Technology, Okhla Phase III, New Delhi, 110020, India. .,Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia.
| | - Gaurav Ahuja
- Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), Okhla, Phase III, New Delhi, 110020, India.
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90
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Mulindwa J, Noyes H, Ilboudo H, Pagani L, Nyangiri O, Kimuda MP, Ahouty B, Asina OF, Ofon E, Kamoto K, Kabore JW, Koffi M, Ngoyi DM, Simo G, Chisi J, Sidibe I, Enyaru J, Simuunza M, Alibu P, Jamonneau V, Camara M, Tait A, Hall N, Bucheton B, MacLeod A, Hertz-Fowler C, Matovu E, Matovu E, Sidibe I, Mumba D, Koffi M, Simo G, Chisi J, Alibu VP, Macleod A, Bucheton B, Hertzfowler C, Elliot A, Camara M, Bishop O, Mulindwa J, Nyangiri O, Kimuda MP, Ofon E, Ahouty B, Kabore J. High Levels of Genetic Diversity within Nilo-Saharan Populations: Implications for Human Adaptation. Am J Hum Genet 2020; 107:473-486. [PMID: 32781046 PMCID: PMC7477016 DOI: 10.1016/j.ajhg.2020.07.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 07/13/2020] [Indexed: 12/23/2022] Open
Abstract
Africa contains more human genetic variation than any other continent, but the majority of the population-scale analyses of the African peoples have focused on just two of the four major linguistic groups, the Niger-Congo and Afro-Asiatic, leaving the Nilo-Saharan and Khoisan populations under-represented. In order to assess genetic variation and signatures of selection within a Nilo-Saharan population and between the Nilo-Saharan and Niger-Congo and Afro-Asiatic, we sequenced 50 genomes from the Nilo-Saharan Lugbara population of North-West Uganda and 250 genomes from 6 previously unsequenced Niger-Congo populations. We compared these data to data from a further 16 Eurasian and African populations including the Gumuz, another putative Nilo-Saharan population from Ethiopia. Of the 21 million variants identified in the Nilo-Saharan population, 3.57 million (17%) were not represented in dbSNP and included predicted non-synonymous mutations with possible phenotypic effects. We found greater genetic differentiation between the Nilo-Saharan Lugbara and Gumuz populations than between any two Afro-Asiatic or Niger-Congo populations. F3 tests showed that Gumuz contributed a genetic component to most Niger-Congo B populations whereas Lugabara did not. We scanned the genomes of the Lugbara for evidence of selective sweeps. We found selective sweeps at four loci (SLC24A5, SNX13, TYRP1, and UVRAG) associated with skin pigmentation, three of which already have been reported to be under selection. These selective sweeps point toward adaptations to the intense UV radiation of the Sahel.
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91
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Imamura F, Ito A, LaFever BJ. Subpopulations of Projection Neurons in the Olfactory Bulb. Front Neural Circuits 2020; 14:561822. [PMID: 32982699 PMCID: PMC7485133 DOI: 10.3389/fncir.2020.561822] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 08/12/2020] [Indexed: 12/17/2022] Open
Abstract
Generation of neuronal diversity is a biological strategy widely used in the brain to process complex information. The olfactory bulb is the first relay station of olfactory information in the vertebrate central nervous system. In the olfactory bulb, axons of the olfactory sensory neurons form synapses with dendrites of projection neurons that transmit the olfactory information to the olfactory cortex. Historically, the olfactory bulb projection neurons have been classified into two populations, mitral cells and tufted cells. The somata of these cells are distinctly segregated within the layers of the olfactory bulb; the mitral cells are located in the mitral cell layer while the tufted cells are found in the external plexiform layer. Although mitral and tufted cells share many morphological, biophysical, and molecular characteristics, they differ in soma size, projection patterns of their dendrites and axons, and odor responses. In addition, tufted cells are further subclassified based on the relative depth of their somata location in the external plexiform layer. Evidence suggests that different types of tufted cells have distinct cellular properties and play different roles in olfactory information processing. Therefore, mitral and different types of tufted cells are considered as starting points for parallel pathways of olfactory information processing in the brain. Moreover, recent studies suggest that mitral cells also consist of heterogeneous subpopulations with different cellular properties despite the fact that the mitral cell layer is a single-cell layer. In this review, we first compare the morphology of projection neurons in the olfactory bulb of different vertebrate species. Next, we explore the similarities and differences among subpopulations of projection neurons in the rodent olfactory bulb. We also discuss the timing of neurogenesis as a factor for the generation of projection neuron heterogeneity in the olfactory bulb. Knowledge about the subpopulations of olfactory bulb projection neurons will contribute to a better understanding of the complex olfactory information processing in higher brain regions.
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Affiliation(s)
- Fumiaki Imamura
- Department of Pharmacology, Penn State College of Medicine, Hershey, PA, United States
| | - Ayako Ito
- Department of Pharmacology, Penn State College of Medicine, Hershey, PA, United States
| | - Brandon J LaFever
- Department of Pharmacology, Penn State College of Medicine, Hershey, PA, United States
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92
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Shang P, Li W, Tan Z, Zhang J, Dong S, Wang K, Chamba Y. Population Genetic Analysis of Ten Geographically Isolated Tibetan Pig Populations. Animals (Basel) 2020; 10:ani10081297. [PMID: 32751240 PMCID: PMC7460208 DOI: 10.3390/ani10081297] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 04/20/2020] [Accepted: 04/20/2020] [Indexed: 12/17/2022] Open
Abstract
Simple Summary Whole-genome re-sequencing data from 10 geographically isolated Tibetan pig populations were collected and analyzed in this study. Population genetic analyses, including Principal Component Analysis (PCA), phylogenic tree, genetic differentiation, deleterious variant, contribution to meta-population genetic diversity and selective sweep were performed. Limited genetic differentiation was identified among these Tibetan pig populations. Most deleterious variants were low-frequency mutations and population specific. Contribution to the meta-population was largest in the TT population, based on gene and allelic diversity. Genes under selection were involved in hypoxia adaptation, hard palate development, facial appearance, and perception of smell. Abstract Several geographically isolated populations of Tibetan pigs inhabit the high-altitude environment of the Tibetan Plateau. Their genetic relationships, contribution to the pool of genetic diversity, and their origin of domestication are unclear. In this study, whole-genome re-sequencing data from 10 geographically isolated Tibetan pig populations were collected and analyzed. Population genetic analyses revealed limited genetic differentiation among the Tibetan pig populations. Evidence from deleterious variant analysis indicated that population-specific deleterious variants were the major component of all mutational loci. Contribution to the meta-population was largest in the TT (Qinghai-Tibet Plateau) population, based on gene diversity or allelic diversity. Selective sweep analysis revealed numerous genes, including RXFP1, FZD1, OR1F1, TBX19, MSTN, ESR1, MC1R, HIF3A, and EGLN2 which are involved in lung development, hard palate development, coat color, hormone metabolism, facial appearance, and perception of smell. These findings increase our understanding of the origins and domestication of the Tibetan pig, and help optimize the strategy for their conservation.
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Affiliation(s)
- Peng Shang
- Animal Science College, Tibet Agriculture and Animal Husbandry University, Linzhi 860000, China; (P.S.); (Z.T.); (J.Z.); (S.D.)
| | - Wenting Li
- College of Animal Sciences and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450001, China;
| | - Zhankun Tan
- Animal Science College, Tibet Agriculture and Animal Husbandry University, Linzhi 860000, China; (P.S.); (Z.T.); (J.Z.); (S.D.)
| | - Jian Zhang
- Animal Science College, Tibet Agriculture and Animal Husbandry University, Linzhi 860000, China; (P.S.); (Z.T.); (J.Z.); (S.D.)
| | - Shixiong Dong
- Animal Science College, Tibet Agriculture and Animal Husbandry University, Linzhi 860000, China; (P.S.); (Z.T.); (J.Z.); (S.D.)
| | - Kejun Wang
- College of Animal Sciences and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450001, China;
- Correspondence: or (K.W.); (Y.C.)
| | - Yangzom Chamba
- Animal Science College, Tibet Agriculture and Animal Husbandry University, Linzhi 860000, China; (P.S.); (Z.T.); (J.Z.); (S.D.)
- Correspondence: or (K.W.); (Y.C.)
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93
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Evaluating the quantity, quality and size distribution of cell-free DNA by multiplex droplet digital PCR. Sci Rep 2020; 10:12564. [PMID: 32724107 PMCID: PMC7387491 DOI: 10.1038/s41598-020-69432-x] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 07/07/2020] [Indexed: 01/06/2023] Open
Abstract
Cell-free DNA (cfDNA) has become a comprehensive biomarker in the fields of non-invasive cancer detection and monitoring, organ transplantation, prenatal genetic testing and pathogen detection. While cfDNA samples can be obtained using a broad variety of approaches, there is an urgent need to standardize analytical tools aimed at assessing its basic properties. Typical methods to determine the yield and fragment size distribution of cfDNA samples are usually either blind to genomic DNA contamination or the presence of enzymatic inhibitors, which can confound and undermine downstream analyses. Here, we present a novel droplet digital PCR assay to identify suboptimal samples and aberrant cfDNA size distributions, the latter typically associated with high levels of circulating tumour DNA (ctDNA). Our assay was designed to promiscuously cross-amplify members of the human olfactory receptor (OR) gene family and includes a customizable diploid locus for the determination of absolute cfDNA concentrations. We demonstrate here the utility of our assay to estimate the yield and quality of cfDNA extracts and deduce fragment size distributions that correlate well with those inferred by capillary electrophoresis and high throughput sequencing. The assay described herein is a powerful tool to establish quality controls and stratify cfDNA samples based on presumed ctDNA levels, then facilitating the implementation of robust, cost-effective and standardized analytical workflows into clinical practice.
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94
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From Anti-SARS-CoV-2 Immune Responses to COVID-19 via Molecular Mimicry. Antibodies (Basel) 2020; 9:antib9030033. [PMID: 32708525 PMCID: PMC7551747 DOI: 10.3390/antib9030033] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 07/04/2020] [Accepted: 07/09/2020] [Indexed: 12/21/2022] Open
Abstract
Aim: To define the autoimmune potential of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection. Methods: Experimentally validated epitopes cataloged at the Immune Epitope DataBase (IEDB) and present in SARS-CoV-2 were analyzed for peptide sharing with the human proteome. Results: Immunoreactive epitopes present in SARS-CoV-2 were mostly composed of peptide sequences present in human proteins that—when altered, mutated, deficient or, however, improperly functioning—may associate with a wide range of disorders, from respiratory distress to multiple organ failure. Conclusions: This study represents a starting point or hint for future scientific–clinical investigations and suggests a range of possible protein targets of autoimmunity in SARS-CoV-2 infection. From an experimental perspective, the results warrant the testing of patients’ sera for autoantibodies against these protein targets. Clinically, the results warrant a stringent surveillance on the future pathologic sequelae of the current SARS-CoV-2 pandemic.
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95
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Zak JD, Reddy G, Vergassola M, Murthy VN. Antagonistic odor interactions in olfactory sensory neurons are widespread in freely breathing mice. Nat Commun 2020; 11:3350. [PMID: 32620767 PMCID: PMC7335155 DOI: 10.1038/s41467-020-17124-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Accepted: 06/10/2020] [Indexed: 12/24/2022] Open
Abstract
Odor landscapes contain complex blends of molecules that each activate unique, overlapping populations of olfactory sensory neurons (OSNs). Despite the presence of hundreds of OSN subtypes in many animals, the overlapping nature of odor inputs may lead to saturation of neural responses at the early stages of stimulus encoding. Information loss due to saturation could be mitigated by normalizing mechanisms such as antagonism at the level of receptor-ligand interactions, whose existence and prevalence remains uncertain. By imaging OSN axon terminals in olfactory bulb glomeruli as well as OSN cell bodies within the olfactory epithelium in freely breathing mice, we find widespread antagonistic interactions in binary odor mixtures. In complex mixtures of up to 12 odorants, antagonistic interactions are stronger and more prevalent with increasing mixture complexity. Therefore, antagonism is a common feature of odor mixture encoding in OSNs and helps in normalizing activity to reduce saturation and increase information transfer.
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Affiliation(s)
- Joseph D Zak
- Department of Molecular & Cellular Biology, Harvard University, Cambridge, MA, 02138, USA.
- Center for Brain Science, Harvard University, Cambridge, MA, 02138, USA.
| | - Gautam Reddy
- NSF-Simons Center for Mathematical & Statistical Analysis of Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Massimo Vergassola
- Laboratoire de Physique de l'Ecole Normale Supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris, Paris, F-75005, France
| | - Venkatesh N Murthy
- Department of Molecular & Cellular Biology, Harvard University, Cambridge, MA, 02138, USA.
- Center for Brain Science, Harvard University, Cambridge, MA, 02138, USA.
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96
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Frie J, Bartocci M, Kuhn P. Neonatal cortical perceptions of maternal breast odours: A fNIRS study. Acta Paediatr 2020; 109:1330-1337. [PMID: 31782829 DOI: 10.1111/apa.15114] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 11/09/2019] [Accepted: 11/26/2019] [Indexed: 11/28/2022]
Abstract
AIM The aim was to determine whether preterm and full-term newborn infants could process maternal breast odour at a cortical level. METHODS Newborn infants were exposed to cloths containing their own mother's breast odour and freshly laundered control cloths for 10 seconds, while functional near-infrared spectroscopy measured cortical activation in their olfactory processing areas. We studied 45 newborn infants born at 28-41 weeks of gestation and divided them into three groups: full-term (37-41 weeks), late preterm (33-36 weeks) and very preterm (28-32 weeks). Cortical activation was defined as a regional increase of oxyhaemoglobin following maternal breast odour stimuli. RESULTS Full-term infants demonstrated bilateral activation of their olfactory cortices following exposure to maternal breast odour. Late preterm infants and very preterm boys exhibited unilateral cortical activation, unlike very preterm girls. CONCLUSION Infants born from 32 weeks, and possibly earlier, could process low concentration maternal odours at a cortical level, which suggests they were more aware of their environment. These findings could make a significant contribution to improving the sensory environment of preterm infants and improve bonding.
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Affiliation(s)
- Jakob Frie
- Neonatal Research Unit Department of Women's and Children's Health Karolinska Institute Stockholm Sweden
- Department of Neonatal Medicine Astrid Lindgren Children's Hospital Karolinska University Hospital Stockholm Sweden
| | - Marco Bartocci
- Neonatal Research Unit Department of Women's and Children's Health Karolinska Institute Stockholm Sweden
- Department of Neonatal Medicine Astrid Lindgren Children's Hospital Karolinska University Hospital Stockholm Sweden
| | - Pierre Kuhn
- Neonatal Research Unit Department of Women's and Children's Health Karolinska Institute Stockholm Sweden
- Service de Médecine et Réanimation du Nouveau‐né Hôpital de Hautepierre Centre Hospitalier Universitaire de Strasbourg Strasbourg France
- Institut des Neurosciences Cellulaires et Intégratives Centre National de la Recherche Scientifique et Unistra Strasbourg France
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97
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Wang Y, Jiang H, Yang L. Transcriptome Analysis of Zebrafish Olfactory Epithelium Reveal Sexual Differences in Odorant Detection. Genes (Basel) 2020; 11:genes11060592. [PMID: 32471067 PMCID: PMC7349279 DOI: 10.3390/genes11060592] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 05/21/2020] [Accepted: 05/25/2020] [Indexed: 01/04/2023] Open
Abstract
Animals have evolved a large number of olfactory receptor genes in their genome to detect numerous odorants in their surrounding environments. However, we still know little about whether males and females possess the same abilities to sense odorants, especially in fish. In this study, we used deep RNA sequencing to examine the difference of transcriptome between male and female zebrafish olfactory epithelia. We found that the olfactory transcriptomes between males and females are highly similar. We also found evidence of some genes showing differential expression or alternative splicing, which may be associated with odorant-sensing between sexes. Most chemosensory receptor genes showed evidence of expression in the zebrafish olfactory epithelium, with a higher expression level in males than in females. Taken together, our results provide a comprehensive catalog of the genes mediating olfactory perception and pheromone-evoked behavior in fishes.
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Affiliation(s)
- Ying Wang
- Hubei Engineering Research Center for Protection and Utilization of Special Biological Resources in the Hanjiang River Basin, School of Life Sciences, Jianghan University, Wuhan 430056, Hubei, China;
| | - Haifeng Jiang
- The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, Hubei, China;
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Liandong Yang
- The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, Hubei, China;
- Correspondence: ; Tel.: +86-27-6878-0281
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98
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Choi IY, Kwon EC, Kim NS. The C- and G-value paradox with polyploidy, repeatomes, introns, phenomes and cell economy. Genes Genomics 2020; 42:699-714. [DOI: 10.1007/s13258-020-00941-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 05/12/2020] [Indexed: 12/14/2022]
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99
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Hu XS, Ikegami K, Vihani A, Zhu KW, Zapata M, de March CA, Do M, Vaidya N, Kucera G, Bock C, Jiang Y, Yohda M, Matsunami H. Concentration-Dependent Recruitment of Mammalian Odorant Receptors. eNeuro 2020; 7:ENEURO.0103-19.2019. [PMID: 32015097 PMCID: PMC7189481 DOI: 10.1523/eneuro.0103-19.2019] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 11/22/2019] [Accepted: 11/26/2019] [Indexed: 12/20/2022] Open
Abstract
A fundamental challenge in studying principles of organization used by the olfactory system to encode odor concentration information has been identifying comprehensive sets of activated odorant receptors (ORs) across a broad concentration range inside freely behaving animals. In mammals, this has recently become feasible with high-throughput sequencing-based methods that identify populations of activated ORs in vivo In this study, we characterized the mouse OR repertoires activated by the two odorants, acetophenone (ACT) and 2,5-dihydro-2,4,5-trimethylthiazoline (TMT), from 0.01% to 100% (v/v) as starting concentrations using phosphorylated ribosomal protein S6 capture followed by RNA-Seq. We found Olfr923 to be one of the most sensitive ORs that is enriched by ACT. Using a mouse line that genetically labels Olfr923-positive axons, we provided evidence that ACT activates the Olfr923 glomeruli in the olfactory bulb. Through molecular dynamics stimulations, we identified amino acid residues in the Olfr923 binding cavity that facilitate ACT binding. This study sheds light on the active process by which unique OR repertoires may collectively facilitate the discrimination of odorant concentrations.
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Affiliation(s)
- Xiaoyang Serene Hu
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27710
| | - Kentaro Ikegami
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27710
- Tokyo University of Agriculture and Technology, Tokyo 183-8538, Japan
| | - Aashutosh Vihani
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27710
- Department of Neurobiology, Duke Institute for Brain Sciences, Duke University, Durham, NC 27710
| | - Kevin W Zhu
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27710
| | - Marcelo Zapata
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27710
| | - Claire A de March
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27710
| | - Matthew Do
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27710
| | - Natasha Vaidya
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27710
- North Carolina School of Science and Mathematics, Durham, NC 27705
| | - Gary Kucera
- DCI Rodent Cancer Models Shared Resource, Duke University Medical Center, Durham, NC 27710
| | - Cheryl Bock
- DCI Rodent Cancer Models Shared Resource, Duke University Medical Center, Durham, NC 27710
| | - Yue Jiang
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27710
| | - Masafumi Yohda
- Tokyo University of Agriculture and Technology, Tokyo 183-8538, Japan
| | - Hiroaki Matsunami
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27710
- Department of Neurobiology, Duke Institute for Brain Sciences, Duke University, Durham, NC 27710
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100
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Xu L, Li W, Voleti V, Zou DJ, Hillman EMC, Firestein S. Widespread receptor-driven modulation in peripheral olfactory coding. Science 2020; 368:368/6487/eaaz5390. [PMID: 32273438 DOI: 10.1126/science.aaz5390] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Accepted: 03/09/2020] [Indexed: 12/24/2022]
Abstract
Olfactory responses to single odors have been well characterized but in reality we are continually presented with complex mixtures of odors. We performed high-throughput analysis of single-cell responses to odor blends using Swept Confocally Aligned Planar Excitation (SCAPE) microscopy of intact mouse olfactory epithelium, imaging ~10,000 olfactory sensory neurons in parallel. In large numbers of responding cells, mixtures of odors did not elicit a simple sum of the responses to individual components of the blend. Instead, many neurons exhibited either antagonism or enhancement of their response in the presence of another odor. All eight odors tested acted as both agonists and antagonists at different receptors. We propose that this peripheral modulation of responses increases the capacity of the olfactory system to distinguish complex odor mixtures.
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Affiliation(s)
- Lu Xu
- Department of Biological Sciences, Columbia University in the City of New York, New York, NY, 10027, USA
| | - Wenze Li
- Laboratory for Functional Optical Imaging, Departments of Biomedical Engineering and Radiology, Zuckerman Mind Brain Behavior Institute and Kavli Institute for Brain Sciences, Columbia University in the City of New York, New York, NY, 10027, USA
| | - Venkatakaushik Voleti
- Laboratory for Functional Optical Imaging, Departments of Biomedical Engineering and Radiology, Zuckerman Mind Brain Behavior Institute and Kavli Institute for Brain Sciences, Columbia University in the City of New York, New York, NY, 10027, USA
| | - Dong-Jing Zou
- Department of Biological Sciences, Columbia University in the City of New York, New York, NY, 10027, USA
| | - Elizabeth M C Hillman
- Laboratory for Functional Optical Imaging, Departments of Biomedical Engineering and Radiology, Zuckerman Mind Brain Behavior Institute and Kavli Institute for Brain Sciences, Columbia University in the City of New York, New York, NY, 10027, USA.
| | - Stuart Firestein
- Department of Biological Sciences, Columbia University in the City of New York, New York, NY, 10027, USA.
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