Defining an Olfactory Receptor Function in Airway Smooth Muscle Cells Received: 27 May 2016 William H
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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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. -
LETTER Doi:10.1038/Nature09515
LETTER doi:10.1038/nature09515 Distant metastasis occurs late during the genetic evolution of pancreatic cancer Shinichi Yachida1*, Siaˆn Jones2*, Ivana Bozic3, Tibor Antal3,4, Rebecca Leary2, Baojin Fu1, Mihoko Kamiyama1, Ralph H. Hruban1,5, James R. Eshleman1, Martin A. Nowak3, Victor E. Velculescu2, Kenneth W. Kinzler2, Bert Vogelstein2 & Christine A. Iacobuzio-Donahue1,5,6 Metastasis, the dissemination and growth of neoplastic cells in an were present in the primary pancreatic tumours from which the meta- organ distinct from that in which they originated1,2, is the most stases arose. A small number of these samples of interest were cell lines common cause of death in cancer patients. This is particularly true or xenografts, similar to the index lesions, whereas the majority were for pancreatic cancers, where most patients are diagnosed with fresh-frozen tissues that contained admixed neoplastic, stromal, metastatic disease and few show a sustained response to chemo- inflammatory, endothelial and normal epithelial cells (Fig. 1a). Each therapy or radiation therapy3. Whether the dismal prognosis of tissue sample was therefore microdissected to minimize contaminat- patients with pancreatic cancer compared to patients with other ing non-neoplastic elements before purifying DNA. types of cancer is a result of late diagnosis or early dissemination of Two categories of mutations were identified (Fig. 1b). The first and disease to distant organs is not known. Here we rely on data gen- largest category corresponded to those mutations present in all samples erated by sequencing the genomes of seven pancreatic cancer meta- from a given patient (‘founder’ mutations, mean of 64%, range 48–83% stases to evaluate the clonal relationships among primary and of all mutations per patient; Fig. -
OR1J1 Rabbit Pab Antibody
OR1J1 rabbit pAb antibody Catalog No : Source: Concentration : Mol.Wt. (Da): A19043 Rabbit 1 mg/ml Applications WB,ELISA Reactivity Human Dilution WB 1:500-2000 ELISA 1:5000-20000 Storage -20°C/1 year Specificity OR1J1 Polyclonal Antibody detects endogenous levels of protein. Source / Purification The antibody was affinity-purified from rabbit antiserum by affinity- chromatography using epitope-specific immunogen. Immunogen Synthesized peptide derived from part region of human protein Uniprot No Q8NGS3 Alternative names Form Liquid in PBS containing 50% glycerol, and 0.02% sodium azide. Clonality Polyclonal Isotype IgG Conjugation Background olfactory receptor family 1 subfamily J member 1(OR1J1) Homo sapiens Olfactory receptors interact with odorant molecules in the nose, to initiate a neuronal response that triggers the perception of a smell. The olfactory receptor proteins are members of a large family of G-protein-coupled receptors (GPCR) arising from single coding-exon genes. Olfactory receptors share a 7-transmembrane domain structure with many neurotransmitter and hormone receptors and are responsible for the recognition and G protein- mediated transduction of odorant signals. The olfactory receptor gene family is the largest in the genome. The nomenclature assigned to the olfactory receptor genes and proteins for this organism is independent of other organisms. [provided by RefSeq, Jul 2008], Other OR1J1, Olfactory receptor 1J1 (Olfactory receptor OR9-18) Produtc Images: A AAB Biosciences Products www.aabsci.cn FOR RESEARCH USE ONLY. NOT FOR HUMAN OR DIAGNOSTIC USE. Application Key: WB-Western IP-Immunoprecipitation IHC-Immunohistochemistry ChIP-Chromatin Immunoprecipitation IF-Immunofluorescence F-Flow Cytometry E-P-ELISA-Peptide Species Cross-Reactivity Key: H-Human M-Mouse R-Rat Hm-Hamster Mk-Monkey Vir-Virus Mi-Mink C-Chicken Dm-D. -
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 -
Comparative Transcriptome Profiling of the Human and Mouse Dorsal Root Ganglia: an RNA-Seq-Based Resource for Pain and Sensory Neuroscience Research
bioRxiv preprint doi: https://doi.org/10.1101/165431; this version posted October 13, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Title: Comparative transcriptome profiling of the human and mouse dorsal root ganglia: An RNA-seq-based resource for pain and sensory neuroscience research Short Title: Human and mouse DRG comparative transcriptomics Pradipta Ray 1, 2 #, Andrew Torck 1 , Lilyana Quigley 1, Andi Wangzhou 1, Matthew Neiman 1, Chandranshu Rao 1, Tiffany Lam 1, Ji-Young Kim 1, Tae Hoon Kim 2, Michael Q. Zhang 2, Gregory Dussor 1 and Theodore J. Price 1, # 1 The University of Texas at Dallas, School of Behavioral and Brain Sciences 2 The University of Texas at Dallas, Department of Biological Sciences # Corresponding authors Theodore J Price Pradipta Ray School of Behavioral and Brain Sciences School of Behavioral and Brain Sciences The University of Texas at Dallas The University of Texas at Dallas BSB 14.102G BSB 10.608 800 W Campbell Rd 800 W Campbell Rd Richardson TX 75080 Richardson TX 75080 972-883-4311 972-883-7262 [email protected] [email protected] Number of pages: 27 Number of figures: 9 Number of tables: 8 Supplementary Figures: 4 Supplementary Files: 6 Word count: Abstract = 219; Introduction = 457; Discussion = 1094 Conflict of interest: The authors declare no conflicts of interest Patient anonymity and informed consent: Informed consent for human tissue sources were obtained by Anabios, Inc. (San Diego, CA). Human studies: This work was approved by The University of Texas at Dallas Institutional Review Board (MR 15-237). -
WO 2019/068007 Al Figure 2
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2019/068007 Al 04 April 2019 (04.04.2019) W 1P O PCT (51) International Patent Classification: (72) Inventors; and C12N 15/10 (2006.01) C07K 16/28 (2006.01) (71) Applicants: GROSS, Gideon [EVIL]; IE-1-5 Address C12N 5/10 (2006.0 1) C12Q 1/6809 (20 18.0 1) M.P. Korazim, 1292200 Moshav Almagor (IL). GIBSON, C07K 14/705 (2006.01) A61P 35/00 (2006.01) Will [US/US]; c/o ImmPACT-Bio Ltd., 2 Ilian Ramon St., C07K 14/725 (2006.01) P.O. Box 4044, 7403635 Ness Ziona (TL). DAHARY, Dvir [EilL]; c/o ImmPACT-Bio Ltd., 2 Ilian Ramon St., P.O. (21) International Application Number: Box 4044, 7403635 Ness Ziona (IL). BEIMAN, Merav PCT/US2018/053583 [EilL]; c/o ImmPACT-Bio Ltd., 2 Ilian Ramon St., P.O. (22) International Filing Date: Box 4044, 7403635 Ness Ziona (E.). 28 September 2018 (28.09.2018) (74) Agent: MACDOUGALL, Christina, A. et al; Morgan, (25) Filing Language: English Lewis & Bockius LLP, One Market, Spear Tower, SanFran- cisco, CA 94105 (US). (26) Publication Language: English (81) Designated States (unless otherwise indicated, for every (30) Priority Data: kind of national protection available): AE, AG, AL, AM, 62/564,454 28 September 2017 (28.09.2017) US AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, 62/649,429 28 March 2018 (28.03.2018) US CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, (71) Applicant: IMMP ACT-BIO LTD. -
Genetic Characterization of Greek Population Isolates Reveals Strong Genetic Drift at Missense and Trait-Associated Variants
ARTICLE Received 22 Apr 2014 | Accepted 22 Sep 2014 | Published 6 Nov 2014 DOI: 10.1038/ncomms6345 OPEN Genetic characterization of Greek population isolates reveals strong genetic drift at missense and trait-associated variants Kalliope Panoutsopoulou1,*, Konstantinos Hatzikotoulas1,*, Dionysia Kiara Xifara2,3, Vincenza Colonna4, Aliki-Eleni Farmaki5, Graham R.S. Ritchie1,6, Lorraine Southam1,2, Arthur Gilly1, Ioanna Tachmazidou1, Segun Fatumo1,7,8, Angela Matchan1, Nigel W. Rayner1,2,9, Ioanna Ntalla5,10, Massimo Mezzavilla1,11, Yuan Chen1, Chrysoula Kiagiadaki12, Eleni Zengini13,14, Vasiliki Mamakou13,15, Antonis Athanasiadis16, Margarita Giannakopoulou17, Vassiliki-Eirini Kariakli5, Rebecca N. Nsubuga18, Alex Karabarinde18, Manjinder Sandhu1,8, Gil McVean2, Chris Tyler-Smith1, Emmanouil Tsafantakis12, Maria Karaleftheri16, Yali Xue1, George Dedoussis5 & Eleftheria Zeggini1 Isolated populations are emerging as a powerful study design in the search for low-frequency and rare variant associations with complex phenotypes. Here we genotype 2,296 samples from two isolated Greek populations, the Pomak villages (HELIC-Pomak) in the North of Greece and the Mylopotamos villages (HELIC-MANOLIS) in Crete. We compare their genomic characteristics to the general Greek population and establish them as genetic isolates. In the MANOLIS cohort, we observe an enrichment of missense variants among the variants that have drifted up in frequency by more than fivefold. In the Pomak cohort, we find novel associations at variants on chr11p15.4 showing large allele frequency increases (from 0.2% in the general Greek population to 4.6% in the isolate) with haematological traits, for example, with mean corpuscular volume (rs7116019, P ¼ 2.3 Â 10 À 26). We replicate this association in a second set of Pomak samples (combined P ¼ 2.0 Â 10 À 36). -
Functional and Structural Characterization of Olfactory Receptors in Human Heart and Eye
DISSERTATION to obtain the degree Doctor Rerum Naturalium (Dr.rer.nat.) at the Faculty of Biology and Biotechnology International Graduate School Biosciences Ruhr-University Bochum Functional and structural characterization of olfactory receptors in human heart and eye Department of Cellphysiology submitted by Nikolina Jovancevic from Zadar, Croatia Bochum February 2016 First Referee: Prof. Dr. Dr. Dr. Hanns Hatt Second Referee: Prof. Dr. Stefan Wiese DISSERTATION zur Erlangung des Grades eines Doktors der Naturwissenschaften der Fakultät für Biologie und Biotechnologie an der Internationalen Graduiertenschule Biowissenschaften der Ruhr-Universität Bochum Funktionale und strukturelle Charakterisierung olfaktorischer Rezeptoren im humanen Herzen und Auge Lehrstuhl für Zellphysiologie vorgelegt von Nikolina Jovancevic aus Zadar, Kroatien Bochum Februar 2016 Referent: Prof. Dr. Dr. Dr. Hanns Hatt Korreferent: Prof. Dr. Stefan Wiese To my family TABLE OF CONTENTS TABEL OF CONTENT 1 INTRODUCTION 1 1.1 G protein-coupled receptors 1 1.1.1 General 1 1.1.2 Structure and classification 2 1.1.3 Olfactory Receptors 4 1.2 Function of olfactory receptors 9 1.2.1 The olfactory system 9 1.2.2 Ectopic expression of olfactory receptors 11 1.3 Excursus: Anatomy and physiology of the heart 13 1.3.1 Anatomy of the heart and blood circuit 14 1.3.2 The cardiac conduction system 15 1.3.3 Excitation-contraction coupling 16 1.3.4 Cardiac GPCRs: Modulation of cardiac contraction 17 1.4 Excursus: Anatomy and physiology of the eye 18 1.4.1 Anatomy of the retina 19 -
Clinical, Molecular, and Immune Analysis of Dabrafenib-Trametinib
Supplementary Online Content Chen G, McQuade JL, Panka DJ, et al. Clinical, molecular and immune analysis of dabrafenib-trametinib combination treatment for metastatic melanoma that progressed during BRAF inhibitor monotherapy: a phase 2 clinical trial. JAMA Oncology. Published online April 28, 2016. doi:10.1001/jamaoncol.2016.0509. eMethods. eReferences. eTable 1. Clinical efficacy eTable 2. Adverse events eTable 3. Correlation of baseline patient characteristics with treatment outcomes eTable 4. Patient responses and baseline IHC results eFigure 1. Kaplan-Meier analysis of overall survival eFigure 2. Correlation between IHC and RNAseq results eFigure 3. pPRAS40 expression and PFS eFigure 4. Baseline and treatment-induced changes in immune infiltrates eFigure 5. PD-L1 expression eTable 5. Nonsynonymous mutations detected by WES in baseline tumors This supplementary material has been provided by the authors to give readers additional information about their work. © 2016 American Medical Association. All rights reserved. Downloaded From: https://jamanetwork.com/ on 09/30/2021 eMethods Whole exome sequencing Whole exome capture libraries for both tumor and normal samples were constructed using 100ng genomic DNA input and following the protocol as described by Fisher et al.,3 with the following adapter modification: Illumina paired end adapters were replaced with palindromic forked adapters with unique 8 base index sequences embedded within the adapter. In-solution hybrid selection was performed using the Illumina Rapid Capture Exome enrichment kit with 38Mb target territory (29Mb baited). The targeted region includes 98.3% of the intervals in the Refseq exome database. Dual-indexed libraries were pooled into groups of up to 96 samples prior to hybridization. -
A Genetic Variant Near Olfactory Receptor Genes Influences Cilantro Preference
A genetic variant near olfactory receptor genes influences cilantro preference Nicholas Eriksson1,*, Shirley Wu1, Chuong B. Do1, Amy K. Kiefer1, Joyce Y. Tung1, Joanna L. Mountain1, David A. Hinds1, and Uta Francke1 123andMe, Inc., Mountain View, CA USA *[email protected] September 11, 2012 Abstract ponent to cilantro taste perception and suggest that cilantro dislike may stem from genetic variants in ol- The leaves of the Coriandrum sativum plant, known factory receptors. We propose that OR6A2 may be as cilantro or coriander, are widely used in many the olfactory receptor that contributes to the detec- cuisines around the world. However, far from being tion of a soapy smell from cilantro in European pop- a benign culinary herb, cilantro can be polarizing| ulations. many people love it while others claim that it tastes or smells foul, often like soap or dirt. This soapy or pungent aroma is largely attributed to several Background aldehydes present in cilantro. Cilantro preference is suspected to have a genetic component, yet to date The Coriandrum sativum plant has been cultivated nothing is known about specific mechanisms. Here since at least the 2nd millennium BCE [1]. Its fruits we present the results of a genome-wide association (commonly called coriander seeds) and leaves (called study among 14,604 participants of European ances- cilantro or coriander) are important components of try who reported whether cilantro tasted soapy, with many cuisines. In particular, South Asian cuisines replication in a distinct set of 11,851 participants who use both the leaves and the seeds prominently, and declared whether they liked cilantro. -
Amino Acid Sequences Directed Against Cxcr4 And
(19) TZZ ¥¥_T (11) EP 2 285 833 B1 (12) EUROPEAN PATENT SPECIFICATION (45) Date of publication and mention (51) Int Cl.: of the grant of the patent: C07K 16/28 (2006.01) A61K 39/395 (2006.01) 17.12.2014 Bulletin 2014/51 A61P 31/18 (2006.01) A61P 35/00 (2006.01) (21) Application number: 09745851.7 (86) International application number: PCT/EP2009/056026 (22) Date of filing: 18.05.2009 (87) International publication number: WO 2009/138519 (19.11.2009 Gazette 2009/47) (54) AMINO ACID SEQUENCES DIRECTED AGAINST CXCR4 AND OTHER GPCRs AND COMPOUNDS COMPRISING THE SAME GEGEN CXCR4 UND ANDERE GPCR GERICHTETE AMINOSÄURESEQUENZEN SOWIE VERBINDUNGEN DAMIT SÉQUENCES D’ACIDES AMINÉS DIRIGÉES CONTRE CXCR4 ET AUTRES GPCR ET COMPOSÉS RENFERMANT CES DERNIÈRES (84) Designated Contracting States: (74) Representative: Hoffmann Eitle AT BE BG CH CY CZ DE DK EE ES FI FR GB GR Patent- und Rechtsanwälte PartmbB HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL Arabellastraße 30 PT RO SE SI SK TR 81925 München (DE) (30) Priority: 16.05.2008 US 53847 P (56) References cited: 02.10.2008 US 102142 P EP-A- 1 316 801 WO-A-99/50461 WO-A-03/050531 WO-A-03/066830 (43) Date of publication of application: WO-A-2006/089141 WO-A-2007/051063 23.02.2011 Bulletin 2011/08 • VADAY GAYLE G ET AL: "CXCR4 and CXCL12 (73) Proprietor: Ablynx N.V. (SDF-1) in prostate cancer: inhibitory effects of 9052 Ghent-Zwijnaarde (BE) human single chain Fv antibodies" CLINICAL CANCER RESEARCH, THE AMERICAN (72) Inventors: ASSOCIATION FOR CANCER RESEARCH, US, • BLANCHETOT, Christophe vol.10, no. -
Supplementary Data
SUPPLEMENTARY METHODS 1) Characterisation of OCCC cell line gene expression profiles using Prediction Analysis for Microarrays (PAM) The ovarian cancer dataset from Hendrix et al (25) was used to predict the phenotypes of the cell lines used in this study. Hendrix et al (25) analysed a series of 103 ovarian samples using the Affymetrix U133A array platform (GEO: GSE6008). This dataset comprises clear cell (n=8), endometrioid (n=37), mucinous (n=13) and serous epithelial (n=41) primary ovarian carcinomas and samples from 4 normal ovaries. To build the predictor, the Prediction Analysis of Microarrays (PAM) package in R environment was employed (http://rss.acs.unt.edu/Rdoc/library/pamr/html/00Index.html). When more than one probe described the expression of a given gene, we used the probe with the highest median absolute deviation across the samples. The dataset from Hendrix et al. (25) and the dataset of OCCC cell lines described in this manuscript were then overlaid on the basis of 11536 common unique HGNC gene symbols. Only the 99 primary ovarian cancers samples and the four normal ovary samples were used to build the predictor. Following leave one out cross-validation, a predictor based upon 126 genes was able to identify correctly the four distinct phenotypes of primary ovarian tumour samples with a misclassification rate of 18.3%. This predictor was subsequently applied to the expression data from the 12 OCCC cell lines to determine the likeliest phenotype of the OCCC cell lines compared to primary ovarian cancers. Posterior probabilities were estimated for each cell line in comparison to the following phenotypes: clear cell, endometrioid, mucinous and serous epithelial.