Non-Neuronal Expression of SARS-Cov-2 Entry Genes in the Olfactory System Suggests Mechanisms Underlying COVID-19-Associated Anosmia
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Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
“Physiological Characterization of Chemosensory Mechanisms in Mice”
“Physiological characterization of chemosensory mechanisms in mice” Von der Fakultät für Mathematik, Informatik und Naturwissenschaften der RWTH Aachen University zur Erlangung des akademischen Grades einer Doktorin der Naturwissenschaften genehmigte Dissertation vorgelegt von Master of Science Lisa Marie Moeller aus Schwelm Berichter: Universitätsprofessor Dr. rer. nat. Marc Spehr Universitätsprofessor Dr. rer. nat. Frank Müller Tag der mündlichen Prüfung: 03.11.2014 Diese Dissertation ist auf den Internetseiten der Hochschulbibliothek online verfügbar. I Content 1. Introduction 1 1.1 The main olfactory system 1 1.1.1 Anatomical structure and cells of the main olfactory epithelium 2 1.1.1.1 Olfactory sensory neurons (OSNs) 3 1.1.1.2 Sustentacular cells (SCs) 5 1.1.2 Physiological properties of OSNs 7 1.1.2.1 Signaltransduction in OSNs 7 1.1.2.2 Adaptation mechanisms 8 1.1.2.3 The physiological role of Ca2+ 9 1.2 The accessory olfactory system 10 1.2.1 Anatomy of the AOS 10 1.2.2 Chemoreceptors in the VNO 11 1.2.3 Physiological properties of VSNs 13 1.2.3.1 Signaltransduction in VSNs 13 1.2.3.2 Physiological role of Cl- 14 1.2.4 Pheromones and behavior 15 1.3 Mitochondria 17 1.4 Voltage-gated ion channels 19 Aims 23 2. Materials and Methods 24 2.1 Chemicals 24 2.2 Solutions 25 2.3 Consumables 27 2.4 Equipment 28 2.5 Software 30 2.6 Mouse strains 30 Methods 31 2.7 Animal and tissue preparation 31 2.7.1 Acute coronal MOE slices 31 2.7.2 Acute coronal VNO slices 31 2.7.3 En face preparation of the VNO sensory epithelium 32 2.7.4 Dissociation -
Supplementary Table S1. Upregulated Genes Differentially
Supplementary Table S1. Upregulated genes differentially expressed in athletes (p < 0.05 and 1.3-fold change) Gene Symbol p Value Fold Change 221051_s_at NMRK2 0.01 2.38 236518_at CCDC183 0.00 2.05 218804_at ANO1 0.00 2.05 234675_x_at 0.01 2.02 207076_s_at ASS1 0.00 1.85 209135_at ASPH 0.02 1.81 228434_at BTNL9 0.03 1.81 229985_at BTNL9 0.01 1.79 215795_at MYH7B 0.01 1.78 217979_at TSPAN13 0.01 1.77 230992_at BTNL9 0.01 1.75 226884_at LRRN1 0.03 1.74 220039_s_at CDKAL1 0.01 1.73 236520_at 0.02 1.72 219895_at TMEM255A 0.04 1.72 201030_x_at LDHB 0.00 1.69 233824_at 0.00 1.69 232257_s_at 0.05 1.67 236359_at SCN4B 0.04 1.64 242868_at 0.00 1.63 1557286_at 0.01 1.63 202780_at OXCT1 0.01 1.63 1556542_a_at 0.04 1.63 209992_at PFKFB2 0.04 1.63 205247_at NOTCH4 0.01 1.62 1554182_at TRIM73///TRIM74 0.00 1.61 232892_at MIR1-1HG 0.02 1.61 204726_at CDH13 0.01 1.6 1561167_at 0.01 1.6 1565821_at 0.01 1.6 210169_at SEC14L5 0.01 1.6 236963_at 0.02 1.6 1552880_at SEC16B 0.02 1.6 235228_at CCDC85A 0.02 1.6 1568623_a_at SLC35E4 0.00 1.59 204844_at ENPEP 0.00 1.59 1552256_a_at SCARB1 0.02 1.59 1557283_a_at ZNF519 0.02 1.59 1557293_at LINC00969 0.03 1.59 231644_at 0.01 1.58 228115_at GAREM1 0.01 1.58 223687_s_at LY6K 0.02 1.58 231779_at IRAK2 0.03 1.58 243332_at LOC105379610 0.04 1.58 232118_at 0.01 1.57 203423_at RBP1 0.02 1.57 AMY1A///AMY1B///AMY1C///AMY2A///AMY2B// 208498_s_at 0.03 1.57 /AMYP1 237154_at LOC101930114 0.00 1.56 1559691_at 0.01 1.56 243481_at RHOJ 0.03 1.56 238834_at MYLK3 0.01 1.55 213438_at NFASC 0.02 1.55 242290_at TACC1 0.04 1.55 ANKRD20A1///ANKRD20A12P///ANKRD20A2/// -
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. -
Vocabulario De Morfoloxía, Anatomía E Citoloxía Veterinaria
Vocabulario de Morfoloxía, anatomía e citoloxía veterinaria (galego-español-inglés) Servizo de Normalización Lingüística Universidade de Santiago de Compostela COLECCIÓN VOCABULARIOS TEMÁTICOS N.º 4 SERVIZO DE NORMALIZACIÓN LINGÜÍSTICA Vocabulario de Morfoloxía, anatomía e citoloxía veterinaria (galego-español-inglés) 2008 UNIVERSIDADE DE SANTIAGO DE COMPOSTELA VOCABULARIO de morfoloxía, anatomía e citoloxía veterinaria : (galego-español- inglés) / coordinador Xusto A. Rodríguez Río, Servizo de Normalización Lingüística ; autores Matilde Lombardero Fernández ... [et al.]. – Santiago de Compostela : Universidade de Santiago de Compostela, Servizo de Publicacións e Intercambio Científico, 2008. – 369 p. ; 21 cm. – (Vocabularios temáticos ; 4). - D.L. C 2458-2008. – ISBN 978-84-9887-018-3 1.Medicina �������������������������������������������������������������������������veterinaria-Diccionarios�������������������������������������������������. 2.Galego (Lingua)-Glosarios, vocabularios, etc. políglotas. I.Lombardero Fernández, Matilde. II.Rodríguez Rio, Xusto A. coord. III. Universidade de Santiago de Compostela. Servizo de Normalización Lingüística, coord. IV.Universidade de Santiago de Compostela. Servizo de Publicacións e Intercambio Científico, ed. V.Serie. 591.4(038)=699=60=20 Coordinador Xusto A. Rodríguez Río (Área de Terminoloxía. Servizo de Normalización Lingüística. Universidade de Santiago de Compostela) Autoras/res Matilde Lombardero Fernández (doutora en Veterinaria e profesora do Departamento de Anatomía e Produción Animal. -
Patient-Based Cross-Platform Comparison of Oligonucleotide Microarray Expression Profiles
Laboratory Investigation (2005) 85, 1024–1039 & 2005 USCAP, Inc All rights reserved 0023-6837/05 $30.00 www.laboratoryinvestigation.org Patient-based cross-platform comparison of oligonucleotide microarray expression profiles Joerg Schlingemann1,*, Negusse Habtemichael2,*, Carina Ittrich3, Grischa Toedt1, Heidi Kramer1, Markus Hambek4, Rainald Knecht4, Peter Lichter1, Roland Stauber2 and Meinhard Hahn1 1Division of Molecular Genetics, Deutsches Krebsforschungszentrum, Heidelberg, Germany; 2Chemotherapeutisches Forschungsinstitut Georg-Speyer-Haus, Frankfurt am Main, Germany; 3Central Unit Biostatistics, Deutsches Krebsforschungszentrum, Heidelberg, Germany and 4Department of Otorhinolaryngology, Universita¨tsklinik, Johann-Wolfgang-Goethe-Universita¨t Frankfurt, Frankfurt, Germany The comparison of gene expression measurements obtained with different technical approaches is of substantial interest in order to clarify whether interplatform differences may conceal biologically significant information. To address this concern, we analyzed gene expression in a set of head and neck squamous cell carcinoma patients, using both spotted oligonucleotide microarrays made from a large collection of 70-mer probes and commercial arrays produced by in situ synthesis of sets of multiple 25-mer oligonucleotides per gene. Expression measurements were compared for 4425 genes represented on both platforms, which revealed strong correlations between the corresponding data sets. Of note, a global tendency towards smaller absolute ratios was observed when -
Special Issue “Olfaction: from Genes to Behavior”
G C A T T A C G G C A T genes Editorial Special Issue “Olfaction: From Genes to Behavior” Edgar Soria-Gómez 1,2,3 1 Department of Neurosciences, University of the Basque Country UPV/EHU, 48940 Leioa, Spain; [email protected] or [email protected] 2 Achucarro Basque Center for Neuroscience, Science Park of the UPV/EHU, 48940 Leioa, Spain 3 IKERBASQUE, Basque Foundation for Science, 48013 Bilbao, Spain Received: 12 June 2020; Accepted: 15 June 2020; Published: 15 June 2020 The senses dictate how the brain represents the environment, and this representation is the basis of how we act in the world. Among the five senses, olfaction is maybe the most mysterious and underestimated one, probably because a large part of the olfactory information is processed at the unconscious level in humans [1–4]. However, it is undeniable the influence of olfaction in the control of behavior and cognitive processes. Indeed, many studies demonstrate a tight relationship between olfactory perception and behavior [5]. For example, olfactory cues are determinant for partner selection [6,7], parental care [8,9], and feeding behavior [10–13], and the sense of smell can even contribute to emotional responses, cognition and mood regulation [14,15]. Accordingly, it has been shown that a malfunctioning of the olfactory system could be causally associated with the occurrence of important diseases, such as neuropsychiatric depression or feeding-related disorders [16,17]. Thus, a clear identification of the biological mechanisms involved in olfaction is key in the understanding of animal behavior in physiological and pathological conditions. -
Investigating Unexplained Deaths for Molecular Autopsies
The author(s) shown below used Federal funding provided by the U.S. Department of Justice to prepare the following resource: Document Title: Investigating Unexplained Deaths for Molecular Autopsies Author(s): Yingying Tang, M.D., Ph.D, DABMG Document Number: 255135 Date Received: August 2020 Award Number: 2011-DN-BX-K535 This resource has not been published by the U.S. Department of Justice. This resource is being made publically available through the Office of Justice Programs’ National Criminal Justice Reference Service. Opinions or points of view expressed are those of the author(s) and do not necessarily reflect the official position or policies of the U.S. Department of Justice. Final Technical Report NIJ FY 11 Basic Science Research to Support Forensic Science 2011-DN-BX-K535 Investigating Unexplained Deaths through Molecular Autopsies May 28, 2017 Yingying Tang, MD, PhD, DABMG Principal Investigator Director, Molecular Genetics Laboratory Office of Chief Medical Examiner 421 East 26th Street New York, NY, 10016 Tel: 212-323-1340 Fax: 212-323-1540 Email: [email protected] Page 1 of 41 This resource was prepared by the author(s) using Federal funds provided by the U.S. Department of Justice. Opinions or points of view expressed are those of the author(s) and do not necessarily reflect the official position or policies of the U.S. Department of Justice. Abstract Sudden Unexplained Death (SUD) is natural death in a previously healthy individual whose cause remains undetermined after scene investigation, complete autopsy, and medical record review. SUD affects children and adults, devastating families, challenging medical examiners, and is a focus of research for cardiologists, neurologists, clinical geneticists, and scientists. -
Cdk15 Igfals Lingo4 Gjb3 Tpbg Lrrc38 Serpinf1 Apod Trp73 Lama4 Chrnd Col9a1col11a1col5a2 Fgl2 Pitx2 Col2a1 Col3a1 Lamb3 Col24a1
Bnc2 Wdr72 Ptchd1 Abtb2 Spag5 Zfp385a Trim17 Ier2 Il1rapl1 Tpd52l1 Fam20a Car8 Syt5 Plxnc1 Sema3e Ndrg4 Snph St6galnac5 Mcpt2 B3galt2 Sphkap Arhgap24 Prss34 Lhfpl2 Ermap Rnf165 Shroom1 Grm4 Mobp Dock2 Tmem9b Slc35d3 Otud7b Serpinb3a Sh3d19 Syt6 Zan Trim67 Clec18a Mcoln1 Tob1 Slc45a2 Pcdhb9 Pcdh17 Plscr1 Gpr143 Cela1 Frem1 Sema3f Lgi2 Igsf9 Fjx1 Cpne4 Adgb Depdc7 Gzmm C1qtnf5 Capn11 Sema3c H2-T22 Unc5c Sytl4 Galnt5 Sytl2 Arhgap11a Pcdha1 Cdh20 Slc35f2 Trim29 B3gnt5 Dock5 Trim9 Padi4 Pcdh19 Abi2 Cldn11 Slitrk1 Fam13a Nrgn Cpa4 Clmp Il1rap Trpm1 Fat4 Nexn Pmel Mmp15 Fat3 H2-M5 Prss38 Wdr41 Prtg Mlana Mettl22 Tnrc6b Cdh6 Sema3b Ptgfrn Cldn1 Cntn4 Bcl2a1b Capn6 Capn5 Pcdhb19 Tcf15 Bmf Rgs8 Tecrl Tyrp1 Rhot1 Rnf123 Cldn6 Adam9 Hlx Rilpl1 Disp1 Atcay Vwc2 Fat2 Srpx2 Cldn3 Unc13c Creb3l1 Rab39b Robo3 Gpnmb Bves Orai2 Slc22a2 Prss8 Cdh10 Scg3 Adam33 Nyx Dchs1 Chmp4c Syt9 Ap1m2 Megf10 Cthrc1 Penk Igsf9b Akap2 Ltbp3 Dnmbp Tff2 Pnoc Vldlr Cpa3 Snx18 Capn3 Btla Htr1b Gm17231 Pcdh9Rab27a Grm8 Cnih2 Scube2 Id2 Reep1 Cpeb3 Mmp16 Slc18b1 Snx33 Clcn5 Cckbr Pkp2 Drp2 Mapk8ip1 Lrrc3b Cxcl14 Zfhx3 Esrp1 Prx Dock3 Sec14l1 Prokr1 Pstpip2 Usp2 Cpvl Syn2 Ntn1 Ptger1 Rxfp3 Tyr Snap91 Htr1d Mtnr1a Gadd45g Mlph Drd4 Foxc2 Cldn4 Birc7 Cdh17 Twist2 Scnn1b Abcc4 Pkp1 Dlk2 Rab3b Amph Mreg Il33 Slit2 Hpse Micu1 Creb3l2 Dsp Lifr S1pr5 Krt15 Svep1 Ahnak Kcnh1 Sphk1 Vwce Clcf1 Ptch2 Pmp22 Sfrp1 Sema6a Lfng Hs3st5 Efcab1 Tlr5 Muc5acKalrn Vwa2 Fzd8 Lpar6 Bmp5 Slc16a9 Cacng4 Arvcf Igfbp2 Mrvi1 Dusp15 Krt5 Atp13a5 Dsg1a Kcnj14 Edn3Memo1 Ngef Prickle2 Cma1 Alx4 Bmp3 Blnk GastAgtr2 -
Psichologijos Žodynas Dictionary of Psychology
ANGLŲ–LIETUVIŲ KALBŲ PSICHOLOGIJOS ŽODYNAS ENGLISH–LITHUANIAN DICTIONARY OF PSYCHOLOGY VILNIAUS UNIVERSITETAS Albinas Bagdonas Eglė Rimkutė ANGLŲ–LIETUVIŲ KALBŲ PSICHOLOGIJOS ŽODYNAS Apie 17 000 žodžių ENGLISH–LITHUANIAN DICTIONARY OF PSYCHOLOGY About 17 000 words VILNIAUS UNIVERSITETO LEIDYKLA VILNIUS 2013 UDK 159.9(038) Ba-119 Apsvarstė ir rekomendavo išleisti Vilniaus universiteto Filosofijos fakulteto taryba (2013 m. kovo 6 d.; protokolas Nr. 2) RECENZENTAI: prof. Audronė LINIAUSKAITĖ Klaipėdos universitetas doc. Dalia NASVYTIENĖ Lietuvos edukologijos universitetas TERMINOLOGIJOS KONSULTANTĖ dr. Palmira ZEMLEVIČIŪTĖ REDAKCINĖ KOMISIJA: Albinas BAGDONAS Vida JAKUTIENĖ Birutė POCIŪTĖ Gintautas VALICKAS Žodynas parengtas įgyvendinant Europos socialinio fondo remiamą projektą „Pripažįstamos kvalifikacijos neturinčių psichologų tikslinis perkvalifikavimas pagal Vilniaus universiteto bakalauro ir magistro studijų programas – VUPSIS“ (2011 m. rugsėjo 29 d. sutartis Nr. VP1-2.3.- ŠMM-04-V-02-001/Pars-13700-2068). Pirminis žodyno variantas (1999–2010 m.) rengtas Vilniaus universiteto Specialiosios psichologijos laboratorijos lėšomis. ISBN 978-609-459-226-3 © Albinas Bagdonas, 2013 © Eglė Rimkutė, 2013 © VU Specialiosios psichologijos laboratorija, 2013 © Vilniaus universitetas, 2013 PRATARMĖ Sparčiai plėtojantis globalizacijos proce- atvejus, kai jų vertimas į lietuvių kalbą gali sams, informacinėms technologijoms, ne- kelti sunkumų), tik tam tikroms socialinėms išvengiamai didėja ir anglų kalbos, kaip ir etninėms grupėms būdingų žodžių, slengo, -
Atrial Fibrillation (ATRIA) Study
European Journal of Human Genetics (2014) 22, 297–306 & 2014 Macmillan Publishers Limited All rights reserved 1018-4813/14 www.nature.com/ejhg REVIEW Atrial fibrillation: the role of common and rare genetic variants Morten S Olesen*,1,2,4, Morten W Nielsen1,2,4, Stig Haunsø1,2,3 and Jesper H Svendsen1,2,3 Atrial fibrillation (AF) is the most common cardiac arrhythmia affecting 1–2% of the general population. A number of studies have demonstrated that AF, and in particular lone AF, has a substantial genetic component. Monogenic mutations in lone and familial AF, although rare, have been recognized for many years. Presently, mutations in 25 genes have been associated with AF. However, the complexity of monogenic AF is illustrated by the recent finding that both gain- and loss-of-function mutations in the same gene can cause AF. Genome-wide association studies (GWAS) have indicated that common single-nucleotide polymorphisms (SNPs) have a role in the development of AF. Following the first GWAS discovering the association between PITX2 and AF, several new GWAS reports have identified SNPs associated with susceptibility of AF. To date, nine SNPs have been associated with AF. The exact biological pathways involving these SNPs and the development of AF are now starting to be elucidated. Since the first GWAS, the number of papers concerning the genetic basis of AF has increased drastically and the majority of these papers are for the first time included in a review. In this review, we discuss the genetic basis of AF and the role of both common and rare genetic variants in the susceptibility of developing AF. -
Cardiogenetics Testing Reference Guide December 2018
Cardiogenetics Testing reference guide December 2018 Why Choose Ambry More than 1 in 200 people have an inherited cardiovascular condition. Ambry’s mission is to provide the most advanced genetic testing information available to help you identity those at-risk and determine the best treatment options. If we know a patient has a disease-causing genetic change, not only does it mean better disease management, it also indicates that we can test others in the family and provide them with potentially life-saving information. Diseases and Testing Options cardiomyopathies arrhythmias Hypertrophic Cardiomyopathy (HCMNext) Catecholaminergic Polymorphic Ventricular Dilated Cardiomyopathy (DCMNext) Tachycardia (CPVTNext) Arrhythmogenic Right Ventricular Long QT Syndrome, Short QT Syndrome, Cardiomyopathy (ARVCNext) Brugada Syndrome (LongQTNext, RhythmNext) Cardiomyopathies (CMNext, CardioNext) Arrhythmias (RhythmNext, CardioNext) other cardio conditions Transthyretin Amyloidosis (TTR) familial hypercholesterolemia Noonan Syndrome (NoonanNext) and lipid disorders Hereditary Hemorrhagic Telangiectasia Familial Hypercholesterolemia (FHNext) (HHTNext) Sitosterolemia (Sitosterolemia Panel) Comprehensive Lipid Menu thoracic aortic aneurysms (CustomNext-Cardio) and dissections Familial Chylomicronemia Syndrome (FCSNext) Thoracic Aneurysms and Dissections, aortopathies (TAADNext) Marfan Syndrome (TAADNext) Ehlers-Danlos Syndrome (TAADNext) Targeted Panels Gene Comparison ALL PANELS HAVE A TURNAROUND TIME OF 2-3 WEEKS arrhythmias CPVTNext CPVTNext CASQ2,