Functional and Structural Characterization of Olfactory Receptors in Human Heart and Eye
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Characterisation of the Α1b-Adrenoceptor by Modeling, Dynamics and Virtual Screening Kapil Jain B.Pharm, M.S.(Pharm.)
Characterisation of the α1B-Adrenoceptor by Modeling, Dynamics and Virtual Screening Kapil Jain B.Pharm, M.S.(Pharm.) A Thesis submitted for the degree of Master of Philosophy at The University of Queensland in 2018 Institute for Molecular Bioscience 0 Abstract G protein-coupled receptors (GPCRs) are the largest druggable class of proteins yet relatively little is known about the mechanism by which agonist binding induces the conformational changes necessary for G protein activation and intracellular signaling. Recently, the Kobilka group has shown that agonists, neutral antagonists and inverse agonists stabilise distinct extracellular surface (ECS) conformations of the β2-adrenergic receptor (AR) opening up new possibilities for allosteric drug targeting at GPCRs. The goal of this project is to extend these studies to define how the ECS conformation of the α1B-AR changes during agonist binding and develop an understanding of ligand entry and exit mechanisms that may help in the design of specific ligands with higher selectivity, efficacy and longer duration of action. Two parallel approaches were initiated to identify likely functional residues. The role of residues lining the primary binding site were predicted by online web server (Q-Site Finder) while secondary binding sites residues were predicted from molecular dynamics (MD) simulations. Predicted functionally significant residues were mutated and their function was established using FLIPR, radioligand and saturation binding assays. Despite the α1B-AR being pursued as a drug target for over last few decades, few specific agonists and antagonists are known to date. In an attempt to address this gap, we pursued ligand-based approach to find potential new leads. -
Genetic Variation Across the Human Olfactory Receptor Repertoire Alters Odor Perception
bioRxiv preprint doi: https://doi.org/10.1101/212431; this version posted November 1, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Genetic variation across the human olfactory receptor repertoire alters odor perception Casey Trimmer1,*, Andreas Keller2, Nicolle R. Murphy1, Lindsey L. Snyder1, Jason R. Willer3, Maira Nagai4,5, Nicholas Katsanis3, Leslie B. Vosshall2,6,7, Hiroaki Matsunami4,8, and Joel D. Mainland1,9 1Monell Chemical Senses Center, Philadelphia, Pennsylvania, USA 2Laboratory of Neurogenetics and Behavior, The Rockefeller University, New York, New York, USA 3Center for Human Disease Modeling, Duke University Medical Center, Durham, North Carolina, USA 4Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina, USA 5Department of Biochemistry, University of Sao Paulo, Sao Paulo, Brazil 6Howard Hughes Medical Institute, New York, New York, USA 7Kavli Neural Systems Institute, New York, New York, USA 8Department of Neurobiology and Duke Institute for Brain Sciences, Duke University Medical Center, Durham, North Carolina, USA 9Department of Neuroscience, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA *[email protected] ABSTRACT The human olfactory receptor repertoire is characterized by an abundance of genetic variation that affects receptor response, but the perceptual effects of this variation are unclear. To address this issue, we sequenced the OR repertoire in 332 individuals and examined the relationship between genetic variation and 276 olfactory phenotypes, including the perceived intensity and pleasantness of 68 odorants at two concentrations, detection thresholds of three odorants, and general olfactory acuity. -
Database Tool the Systematic Annotation of the Three Main GPCR
Database, Vol. 2010, Article ID baq018, doi:10.1093/database/baq018 ............................................................................................................................................................................................................................................................................................. Database tool The systematic annotation of the three main Downloaded from https://academic.oup.com/database/article-abstract/doi/10.1093/database/baq018/406672 by guest on 15 January 2019 GPCR families in Reactome Bijay Jassal1, Steven Jupe1, Michael Caudy2, Ewan Birney1, Lincoln Stein2, Henning Hermjakob1 and Peter D’Eustachio3,* 1European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK, 2Ontario Institute for Cancer Research, Toronto, ON M5G 0A3, Canada and 3New York University School of Medicine, New York, NY 10016, USA *Corresponding author: Tel: +212 263 5779; Fax: +212 263 8166; Email: [email protected] Submitted 14 April 2010; Revised 14 June 2010; Accepted 13 July 2010 ............................................................................................................................................................................................................................................................................................. Reactome is an open-source, freely available database of human biological pathways and processes. A major goal of our work is to provide an integrated view of cellular signalling processes that spans from ligand–receptor -
Computational Methods for Prediction and Classification of G Protein-Coupled Receptors Khodeza Begum University of Texas at El Paso, [email protected]
University of Texas at El Paso DigitalCommons@UTEP Open Access Theses & Dissertations 2017-01-01 Computational methods for prediction and classification of G protein-coupled receptors Khodeza Begum University of Texas at El Paso, [email protected] Follow this and additional works at: https://digitalcommons.utep.edu/open_etd Part of the Bioinformatics Commons, Computer Sciences Commons, and the Mathematics Commons Recommended Citation Begum, Khodeza, "Computational methods for prediction and classification of G protein-coupled receptors" (2017). Open Access Theses & Dissertations. 408. https://digitalcommons.utep.edu/open_etd/408 This is brought to you for free and open access by DigitalCommons@UTEP. It has been accepted for inclusion in Open Access Theses & Dissertations by an authorized administrator of DigitalCommons@UTEP. For more information, please contact [email protected]. COMPUTATIONAL METHODS FOR PREDICTION AND CLASSIFICATION OF G PROTEIN-COUPLED RECEPTORS KHODEZA BEGUM Master’s Program in Computational Science APPROVED: Ming-Ying Leung, Ph.D., Chair Rachid Skouta, Ph.D. Xiaogang Su, Ph.D. Charlotte M. Vines, Ph.D. Charles Ambler, Ph.D. Dean of the Graduate School Copyright © by Khodeza Begum 2017 COMPUTATIONAL METHODS FOR PREDICTION AND CLASSIFICATION OF G PROTEIN-COUPLED RECEPTORS by KHODEZA BEGUM, B.S. THESIS Presented to the Faculty of the Graduate School of The University of Texas at El Paso in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE COMPUTATIONAL SCIENCE PROGRAM THE UNIVERSITY OF TEXAS AT EL PASO December 2017 Acknowledgements I would first like to thank my advisor Dr. Ming-Ying Leung for the continuous support and encouragement in my study and thesis. -
Molecular Dissection of G-Protein Coupled Receptor Signaling and Oligomerization
MOLECULAR DISSECTION OF G-PROTEIN COUPLED RECEPTOR SIGNALING AND OLIGOMERIZATION BY MICHAEL RIZZO A Dissertation Submitted to the Graduate Faculty of WAKE FOREST UNIVERSITY GRADUATE SCHOOL OF ARTS AND SCIENCES in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY Biology December, 2019 Winston-Salem, North Carolina Approved By: Erik C. Johnson, Ph.D. Advisor Wayne E. Pratt, Ph.D. Chair Pat C. Lord, Ph.D. Gloria K. Muday, Ph.D. Ke Zhang, Ph.D. ACKNOWLEDGEMENTS I would first like to thank my advisor, Dr. Erik Johnson, for his support, expertise, and leadership during my time in his lab. Without him, the work herein would not be possible. I would also like to thank the members of my committee, Dr. Gloria Muday, Dr. Ke Zhang, Dr. Wayne Pratt, and Dr. Pat Lord, for their guidance and advice that helped improve the quality of the research presented here. I would also like to thank members of the Johnson lab, both past and present, for being valuable colleagues and friends. I would especially like to thank Dr. Jason Braco, Dr. Jon Fisher, Dr. Jake Saunders, and Becky Perry, all of whom spent a great deal of time offering me advice, proofreading grants and manuscripts, and overall supporting me through the ups and downs of the research process. Finally, I would like to thank my family, both for instilling in me a passion for knowledge and education, and for their continued support. In particular, I would like to thank my wife Emerald – I am forever indebted to you for your support throughout this process, and I will never forget the sacrifices you made to help me get to where I am today. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Transcriptomic Analysis of Native Versus Cultured Human and Mouse Dorsal Root Ganglia Focused on Pharmacological Targets Short
bioRxiv preprint doi: https://doi.org/10.1101/766865; this version posted September 12, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Transcriptomic analysis of native versus cultured human and mouse dorsal root ganglia focused on pharmacological targets Short title: Comparative transcriptomics of acutely dissected versus cultured DRGs Andi Wangzhou1, Lisa A. McIlvried2, Candler Paige1, Paulino Barragan-Iglesias1, Carolyn A. Guzman1, Gregory Dussor1, Pradipta R. Ray1,#, Robert W. Gereau IV2, # and Theodore J. Price1, # 1The University of Texas at Dallas, School of Behavioral and Brain Sciences and Center for Advanced Pain Studies, 800 W Campbell Rd. Richardson, TX, 75080, USA 2Washington University Pain Center and Department of Anesthesiology, Washington University School of Medicine # corresponding authors [email protected], [email protected] and [email protected] Funding: NIH grants T32DA007261 (LM); NS065926 and NS102161 (TJP); NS106953 and NS042595 (RWG). The authors declare no conflicts of interest Author Contributions Conceived of the Project: PRR, RWG IV and TJP Performed Experiments: AW, LAM, CP, PB-I Supervised Experiments: GD, RWG IV, TJP Analyzed Data: AW, LAM, CP, CAG, PRR Supervised Bioinformatics Analysis: PRR Drew Figures: AW, PRR Wrote and Edited Manuscript: AW, LAM, CP, GD, PRR, RWG IV, TJP All authors approved the final version of the manuscript. 1 bioRxiv preprint doi: https://doi.org/10.1101/766865; this version posted September 12, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
Time-Series Plasma Cell-Free DNA Analysis Reveals Disease Severity of COVID-19 Patients
medRxiv preprint doi: https://doi.org/10.1101/2020.06.08.20124305; this version posted June 9, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . Time-series plasma cell-free DNA analysis reveals disease severity of COVID- 19 patients Authors: Xinping Chen1†, Yu Lin2†, Tao Wu1†, Jinjin Xu2†, Zhichao Ma1†, Kun Sun2,5†, Hui Li1†, Yuxue Luo2,3†, Chen Zhang1, Fang Chen2, Jiao Wang1, Tingyu Kuo2,4, Xiaojuan Li1, Chunyu Geng2, Feng Lin1, Chaojie Huang2, Junjie Hu1, Jianhua Yin2, Ming Liu1, Ye Tao2, Jiye Zhang1, Rijing Ou2, Furong Xiao1, Huanming Yang2,6, Jian Wang2,6, Xun Xu2,7, Shengmiao Fu1*, Xin Jin2,3*, Hongyan Jiang1*, Ruoyan Chen2* Affiliations: 1Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Hainan Provincial Key Laboratory of Cell and Molecular Genetic Translational Medicine, Haikou 570311, Hainan, China. 2BGI-Shenzhen, Shenzhen, 518083, Guangdong, China 3School of Medicine, South China University of Technology, Guangzhou 510006, Guangdong, China 4BGI Education Center, University of Chinese Academy of Sciences, Shenzhen 518083, Guangdong, China 5Shenzhen Bay Laboratory, Shenzhen 518132, Guangdong, China 6James D. Watson Institute of Genome Sciences, Hangzhou 310058, China 7Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen, 518120, China *Correspondence to: [email protected]; [email protected]; [email protected]; [email protected]. †These authors contributed equally to this work. Abstract: Clinical symptoms of coronavirus disease 2019 (COVID-19) range from asymptomatic to severe pneumonia and death. -
Evaluation of Copy-Number Variants As Modifiers of Breast and Ovarian
European Journal of Human Genetics (2017) 25, 432–438 Official journal of The European Society of Human Genetics www.nature.com/ejhg ARTICLE Corrected: Correction Evaluation of copy-number variants as modifiers of breast and ovarian cancer risk for BRCA1 pathogenic variant carriers Logan C Walker1,31, Louise Marquart2,31, John F Pearson3, George AR Wiggins1, Tracy A O'Mara4, Michael T Parsons4, BCFR5, Daniel Barrowdale6, Lesley McGuffog6, Joe Dennis6, Javier Benitez7, Thomas P Slavin8, Paolo Radice9, Debra Frost6, EMBRACE6, Andrew K Godwin10, Alfons Meindl11, Rita Katharina Schmutzler12, GEMO Study Collaborators13,14, Claudine Isaacs15, Beth N Peshkin15, Trinidad Caldes16, Frans BL Hogervorst17, HEBON18, Conxi Lazaro19, Anna Jakubowska20, Marco Montagna21, KConFab Investigators22,23, Xiaoqing Chen4, Kenneth Offit24, Peter J Hulick25, Irene L Andrulis26, Annika Lindblom27, Robert L Nussbaum28, Katherine L Nathanson29, Georgia Chenevix-Trench4, Antonis C Antoniou6, Fergus J Couch30 and Amanda B Spurdle4 Genome-wide studies of patients carrying pathogenic variants (mutations) in BRCA1 or BRCA2 have reported strong associations between single-nucleotide polymorphisms (SNPs) and cancer risk. To conduct the first genome-wide association analysis of copy- number variants (CNVs) with breast or ovarian cancer risk in a cohort of 2500 BRCA1 pathogenic variant carriers, CNV discovery was performed using multiple calling algorithms and Illumina 610k SNP array data from a previously published genome-wide association study. Our analysis, which focused on functionally disruptive genomic deletions overlapping gene regions, identified a number of loci associated with risk of breast or ovarian cancer for BRCA1 pathogenic variant carriers. Despite only including putative deletions called by at least two or more algorithms, detection of selected CNVs by ancillary molecular technologies only confirmed 40% of predicted common (41% allele frequency) variants. -
Deep Sequencing of the Human Retinae Reveals the Expression of Odorant Receptors
fncel-11-00003 January 20, 2017 Time: 14:24 # 1 CORE Metadata, citation and similar papers at core.ac.uk Provided by Frontiers - Publisher Connector ORIGINAL RESEARCH published: 24 January 2017 doi: 10.3389/fncel.2017.00003 Deep Sequencing of the Human Retinae Reveals the Expression of Odorant Receptors Nikolina Jovancevic1*, Kirsten A. Wunderlich2, Claudia Haering1, Caroline Flegel1, Désirée Maßberg1, Markus Weinrich1, Lea Weber1, Lars Tebbe2, Anselm Kampik3, Günter Gisselmann1, Uwe Wolfrum2, Hanns Hatt1† and Lian Gelis1† 1 Department of Cell Physiology, Ruhr-University Bochum, Bochum, Germany, 2 Department of Cell and Matrix Biology, Johannes Gutenberg University of Mainz, Mainz, Germany, 3 Department of Ophthalmology, Ludwig Maximilian University of Munich, Munich, Germany Several studies have demonstrated that the expression of odorant receptors (ORs) occurs in various tissues. These findings have served as a basis for functional studies that demonstrate the potential of ORs as drug targets for a clinical application. To the best of our knowledge, this report describes the first evaluation of the mRNA expression of ORs and the localization of OR proteins in the human retina that set a Edited by: stage for subsequent functional analyses. RNA-Sequencing datasets of three individual Hansen Wang, University of Toronto, Canada neural retinae were generated using Next-generation sequencing and were compared Reviewed by: to previously published but reanalyzed datasets of the peripheral and the macular Ewald Grosse-Wilde, human retina and to reference tissues. The protein localization of several ORs was Max Planck Institute for Chemical Ecology (MPG), Germany investigated by immunohistochemistry. The transcriptome analyses detected an average Takaaki Sato, of 14 OR transcripts in the neural retina, of which OR6B3 is one of the most highly National Institute of Advanced expressed ORs. -
European Patent Office of Opposition to That Patent, in Accordance with the Implementing Regulations
(19) TZZ Z_T (11) EP 2 884 280 B1 (12) EUROPEAN PATENT SPECIFICATION (45) Date of publication and mention (51) Int Cl.: of the grant of the patent: G01N 33/566 (2006.01) 09.05.2018 Bulletin 2018/19 (21) Application number: 13197310.9 (22) Date of filing: 15.12.2013 (54) Method for evaluating the scent performance of perfumes and perfume mixtures Verfahren zur Bewertung des Duftverhaltens von Duftstoffen und Duftstoffmischungen Procédé d’evaluation de senteur performance du parfums et mixtures de parfums (84) Designated Contracting States: (56) References cited: AL AT BE BG CH CY CZ DE DK EE ES FI FR GB WO-A2-03/091388 GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR • BAGHAEI KAVEH A: "Deorphanization of human olfactory receptors by luciferase and Ca-imaging (43) Date of publication of application: methods.",METHODS IN MOLECULAR BIOLOGY 17.06.2015 Bulletin 2015/25 (CLIFTON, N.J.) 2013, vol. 1003, 19 June 2013 (2013-06-19), pages229-238, XP008168583, ISSN: (73) Proprietor: Symrise AG 1940-6029 37603 Holzminden (DE) • KAVEH BAGHAEI ET AL: "Olfactory receptors coded by segregating pseudo genes and (72) Inventors: odorants with known specific anosmia.", 33RD • Hatt, Hanns ANNUAL MEETING OF THE ASSOCIATION FOR 44789 Bochum (DE) CHEMORECEPTION, 1 April 2011 (2011-04-01), • Gisselmann, Günter XP055111507, 58456 Witten (DE) • TOUHARA ET AL: "Deorphanizing vertebrate • Ashtibaghaei, Kaveh olfactory receptors: Recent advances in 44801 Bochum (DE) odorant-response assays", NEUROCHEMISTRY • Panten, Johannes INTERNATIONAL, PERGAMON PRESS, 37671 Höxter (DE) OXFORD, GB, vol. -
The Odorant Receptor OR2W3 on Airway Smooth Muscle Evokes Bronchodilation Via a Cooperative Chemosensory Tradeoff Between TMEM16A and CFTR
The odorant receptor OR2W3 on airway smooth muscle evokes bronchodilation via a cooperative chemosensory tradeoff between TMEM16A and CFTR Jessie Huanga,1,2, Hong Lama,1, Cynthia Koziol-Whiteb,c, Nathachit Limjunyawongd, Donghwa Kime, Nicholas Kimb, Nikhil Karmacharyac, Premraj Rajkumarf, Danielle Firera, Nicholas M. Dalesiog, Joseph Judec, Richard C. Kurtenh, Jennifer L. Pluznickf, Deepak A. Deshpandei, Raymond B. Penni, Stephen B. Liggette,j, Reynold A. Panettieri Jrc, Xinzhong Dongd,k, and Steven S. Anb,c,2 aDepartment of Environmental Health and Engineering, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205; bDepartment of Pharmacology, Rutgers-Robert Wood Johnson Medical School, The State University of New Jersey, Piscataway, NJ 08854; cRutgers Institute for Translational Medicine and Science, New Brunswick, NJ 08901; dSolomon H. Snyder Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD 21205; eCenter for Personalized Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33612; fDepartment of Physiology, The Johns Hopkins University School of Medicine, Baltimore, MD 21205; gDepartment of Anesthesiology and Critical Care Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD 21205; hDepartment of Physiology and Biophysics, University of Arkansas for Medical Sciences, Little Rock, AR 72205; iDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Center for Translational Medicine, Jane and Leonard Korman