Identification of IL18RAP/IL18R1 and IL12B As Leprosy Risk Genes
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Genetics of Interleukin 1 Receptor-Like 1 in Immune and Inflammatory Diseases
Current Genomics, 2010, 11, 591-606 591 Genetics of Interleukin 1 Receptor-Like 1 in Immune and Inflammatory Diseases Loubna Akhabir and Andrew Sandford* Department of Medicine, University of British Columbia, UBC James Hogg Research Centre, Providence Heart + Lung Institute, Room 166, St. Paul's Hospital, 1081 Burrard Street, Vancouver, BC V6Z 1Y6, Canada Abstract: Interleukin 1 receptor-like 1 (IL1RL1) is gaining in recognition due to its involvement in immune/inflamma- tory disorders. Well-designed animal studies have shown its critical role in experimental allergic inflammation and human in vitro studies have consistently demonstrated its up-regulation in several conditions such as asthma and rheumatoid ar- thritis. The ligand for IL1RL1 is IL33 which emerged as playing an important role in initiating eosinophilic inflammation and activating other immune cells resulting in an allergic phenotype. An IL1RL1 single nucleotide polymorphism (SNP) was among the most significant results of a genome-wide scan inves- tigating eosinophil counts; in the same study, this SNP associated with asthma in 10 populations. The IL1RL1 gene resides in a region of high linkage disequilibrium containing interleukin 1 receptor genes as well as in- terleukin 18 receptor and accessory genes. This poses a challenge to researchers interested in deciphering genetic associa- tion signals in the region as all of the genes represent interesting candidates for asthma and allergic disease. The IL1RL1 gene and its resulting soluble and receptor proteins have emerged as key regulators of the inflammatory proc- ess implicated in a large variety of human pathologies We review the function and expression of the IL1RL1 gene. -
The Development of Asthma and Atopy Reijmerink, Naomi Elizabeth
University of Groningen A search for missing pieces of the puzzle; the development of asthma and atopy Reijmerink, Naomi Elizabeth IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below. Document Version Publisher's PDF, also known as Version of record Publication date: 2009 Link to publication in University of Groningen/UMCG research database Citation for published version (APA): Reijmerink, N. E. (2009). A search for missing pieces of the puzzle; the development of asthma and atopy: innate immunity genes and environment. [s.n.]. Copyright Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons). Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum. Download date: 26-09-2021 Chapter 3 Association of IL1RL1, IL18R1 and IL18RAP gene cluster polymorphisms with asthma and atopy Naomi E. Reijmerink Dirkje S. Postma Marcel Bruinenberg Ilja M. Nolte Deborah A. Meyers Eugene R. Bleecker Gerard H. Koppelman J Allergy Clin Immunol. 2008 Sep;122(3):651-4. -
How Relevant Are Bone Marrow-Derived Mast Cells (Bmmcs) As Models for Tissue Mast Cells? a Comparative Transcriptome Analysis of Bmmcs and Peritoneal Mast Cells
cells Article How Relevant Are Bone Marrow-Derived Mast Cells (BMMCs) as Models for Tissue Mast Cells? A Comparative Transcriptome Analysis of BMMCs and Peritoneal Mast Cells 1, 2, 1 1 2,3 Srinivas Akula y , Aida Paivandy y, Zhirong Fu , Michael Thorpe , Gunnar Pejler and Lars Hellman 1,* 1 Department of Cell and Molecular Biology, Uppsala University, The Biomedical Center, Box 596, SE-751 24 Uppsala, Sweden; [email protected] (S.A.); [email protected] (Z.F.); [email protected] (M.T.) 2 Department of Medical Biochemistry and Microbiology, Uppsala University, The Biomedical Center, Box 589, SE-751 23 Uppsala, Sweden; [email protected] (A.P.); [email protected] (G.P.) 3 Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, Box 7011, SE-75007 Uppsala, Sweden * Correspondence: [email protected]; Tel.: +46-(0)18-471-4532; Fax: +46-(0)18-471-4862 These authors contributed equally to this work. y Received: 29 July 2020; Accepted: 16 September 2020; Published: 17 September 2020 Abstract: Bone marrow-derived mast cells (BMMCs) are often used as a model system for studies of the role of MCs in health and disease. These cells are relatively easy to obtain from total bone marrow cells by culturing under the influence of IL-3 or stem cell factor (SCF). After 3 to 4 weeks in culture, a nearly homogenous cell population of toluidine blue-positive cells are often obtained. However, the question is how relevant equivalents these cells are to normal tissue MCs. By comparing the total transcriptome of purified peritoneal MCs with BMMCs, here we obtained a comparative view of these cells. -
Comprehensive Association Study of Genetic Variants in the IL-1 Gene Family in Systemic Juvenile Idiopathic Arthritis
Genes and Immunity (2008) 9, 349–357 & 2008 Nature Publishing Group All rights reserved 1466-4879/08 $30.00 www.nature.com/gene ORIGINAL ARTICLE Comprehensive association study of genetic variants in the IL-1 gene family in systemic juvenile idiopathic arthritis CJW Stock1, EM Ogilvie1, JM Samuel1, M Fife1, CM Lewis2 and P Woo1 1Centre for Paediatric and Adolescent Rheumatology, Windeyer Institute for Medical Sciences, University College London, London, UK and 2Guy’s, Kings and St Thomas’ School of Medicine, London, UK Patients with systemic juvenile idiopathic arthritis (sJIA) have a characteristic daily spiking fever and elevated levels of inflammatory cytokines. Members of the interleukin-1 (IL-1) gene family have been implicated in various inflammatory and autoimmune diseases, and treatment with the IL-1 receptor antagonist, Anakinra, shows remarkable improvement in some patients. This work describes the most comprehensive investigation to date of the involvement of the IL-1 gene family in sJIA. A two-stage case–control association study was performed to investigate the two clusters of IL-1 family genes using a tagging single nucleotide polymorphism (SNP) approach. Genotyping data of 130 sJIA patients and 151 controls from stage 1 highlighted eight SNPs in the IL1 ligand cluster region and two SNPs in the IL1 receptor cluster region as showing a significant frequency difference between the populations. These 10 SNPs were typed in an additional 105 sJIA patients and 184 controls in stage 2. Meta-analysis of the genotypes from both stages showed that three IL1 ligand cluster SNPs (rs6712572, rs2071374 and rs1688075) and one IL1 receptor cluster SNP (rs12712122) show evidence of significant association with sJIA. -
The Interleukin-18 Receptor Is Differentially Expressed in Whole
1 The interleukin-18 receptor is differentially expressed in the blood during sepsis. 2 3 Shahan Mamoor, MS1 4 [email protected] East Islip, NY, USA 5 6 We probed published and public microarray datasets1,2 to discover the most significant gene expression changes in the blood of patients with sepsis. We found significant induction 7 expression of IL18RAP and IL18R1, genes encoding subunits of the interleukin-18 receptor, in 8 whole blood from patients with sepsis. 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Keywords: sepsis, septic shock, interleukin-18, IL18R1, IL18RAP, systems biology of septic 26 shock. 27 28 PAGE 1 OF 13 1 Septic shock is a leading cause of mortality in the United States and worldwide3. We 2 used published and public microarray datasets1,2 to identify differentially expressed genes in the 3 4 blood of patients with sepsis. We identified IL18R1 and IL18RAP as among the genes most 5 differentially expressed in blood in the septic state. 6 7 Methods 8 9 We utilized microarray datasets GSE1001591 and GSE264402 for this differential gene 10 11 expression analysis of blood cells during sepsis. GSE100509 was generated with whole blood 12 using Illumina HumanWG-6 v3.0 expression beadchip technology with n=12 whole blood from 13 control subjects and n=33 whole blood from sepsis patients. GSE26440 was generated using 14 15 Affymetrix Human Genome U133 Plus 2.0 Array technology with n=32 control subjects and 16 n=98 sepsis patients. The Benjamini and Hochberg method of p-value adjustment was used for 17 ranking of differential expression but raw p-values were used for assessment of statistical 18 19 significance of global differential expression. -
Regnase-1 Degradation Is Crucial for IL-33– and IL-25–Mediated ILC2 Activation
Regnase-1 degradation is crucial for IL-33– and IL-25–mediated ILC2 activation Kazufumi Matsushita, … , Shizuo Akira, Tomohiro Yoshimoto JCI Insight. 2020;5(4):e131480. https://doi.org/10.1172/jci.insight.131480. Research Article Immunology Graphical abstract Find the latest version: https://jci.me/131480/pdf RESEARCH ARTICLE Regnase-1 degradation is crucial for IL-33– and IL-25–mediated ILC2 activation Kazufumi Matsushita,1,2 Hiroki Tanaka,3,4 Koubun Yasuda,2 Takumi Adachi,2 Ayumi Fukuoka,2 Shoko Akasaki,1 Atsuhide Koida,2 Etsushi Kuroda,2 Shizuo Akira,3,4 and Tomohiro Yoshimoto1,2 1Laboratory of Allergic Diseases, Institute for Advanced Medical Sciences, and 2Department of Immunology, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan. 3Laboratory of Host Defense, World Premier International Immunology Frontier Research Center, and 4Department of Host Defense, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, Japan. Group 2 innate lymphoid cells (ILC2s) are a critical innate source of type 2 cytokines in allergic inflammation. Although ILC2s are recognized as a critical cell population in the allergic inflammation, the regulatory mechanism(s) of ILC2s are less well understood. Here, we show that Regnase-1, an immune regulatory RNAse that degrades inflammatory mRNAs, negatively regulates ILC2 function and that IκB kinase (IKK) complex–mediated Regnase-1 degradation is essential for IL-33– and IL-25–induced ILC2 activation. ILC2s from Regnase-1AA/AA mice expressing a Regnase-1 S435A/S439A mutant resistant to IKK complex–mediated degradation accumulated Regnase-1 protein in response to IL-33 and IL-25. IL-33– and IL-25–stimulated Regnase-1AA/AA ILC2s showed reduced cell proliferation and type 2 cytokine (IL-5, IL-9, and IL-13) production and increased cell death. -
Conserved Transcriptomic Profile Between Mouse and Human Colitis
ARTICLE https://doi.org/10.1038/s41467-019-10769-x OPEN Conserved transcriptomic profile between mouse and human colitis allows unsupervised patient stratification Paulo Czarnewski1, Sara M. Parigi1, Chiara Sorini 1, Oscar E. Diaz 1, Srustidhar Das1, Nicola Gagliani1,2,3 & Eduardo J. Villablanca 1,3 1234567890():,; Clinical manifestations and response to therapies in ulcerative colitis (UC) are hetero- geneous, yet patient classification criteria for tailored therapies are currently lacking. Here, we present an unsupervised molecular classification of UC patients, concordant with response to therapy in independent retrospective cohorts. We show that classical clustering of UC patient tissue transcriptomic data sets does not identify clinically relevant profiles, likely due to associated covariates. To overcome this, we compare cross-sectional human data sets with a newly generated longitudinal transcriptome profile of murine DSS-induced colitis. We show that the majority of colitis risk-associated gene expression peaks during the inflammatory rather than the recovery phase. Moreover, we achieve UC patient clustering into two distinct transcriptomic profiles, differing in neutrophil-related gene activation. Notably, 87% of patients in UC1 cluster are unresponsive to two most widely used biological therapies. These results demonstrate that cross-species comparison enables stratification of patients undistinguishable by other molecular approaches. 1 Immunology and Allergy Unit, Department of Medicine, Solna, Karolinska Institute and University Hospital, 17176 Stockholm, Sweden. 2 Department of Medicine and Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany. 3These authors jointly supervised this work: Nicola Gagliani, Eduardo J. Villablanca. Correspondence and requests for materials should be addressed to E.J.V. -
Single-Cell Analysis of Crohn's Disease Lesions Identifies
bioRxiv preprint doi: https://doi.org/10.1101/503102; this version posted December 20, 2018. 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. Single-cell analysis of Crohn’s disease lesions identifies a pathogenic cellular module associated with resistance to anti-TNF therapy JC Martin1,2,3, G Boschetti1,2,3, C Chang1,2,3, R Ungaro4, M Giri5, LS Chuang5, S Nayar5, A Greenstein6, M. Dubinsky7, L Walker1,2,5,8, A Leader1,2,3, JS Fine9, CE Whitehurst9, L Mbow9, S Kugathasan10, L.A. Denson11, J.Hyams12, JR Friedman13, P Desai13, HM Ko14, I Laface1,2,8, Guray Akturk1,2,8, EE Schadt15,16, S Gnjatic1,2,8, A Rahman1,2,5,8, , M Merad1,2,3,8,17,18*, JH Cho5,17,*, E Kenigsberg1,15,16,17* 1 Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. 2 Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. 3 Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. 4 The Dr. Henry D. Janowitz Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA. 5 Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. 6 Department of Colorectal Surgery, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA 7 Department of Pediatrics, Susan and Leonard Feinstein IBD Clinical Center, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. -
Development and Validation of a Protein-Based Risk Score for Cardiovascular Outcomes Among Patients with Stable Coronary Heart Disease
Supplementary Online Content Ganz P, Heidecker B, Hveem K, et al. Development and validation of a protein-based risk score for cardiovascular outcomes among patients with stable coronary heart disease. JAMA. doi: 10.1001/jama.2016.5951 eTable 1. List of 1130 Proteins Measured by Somalogic’s Modified Aptamer-Based Proteomic Assay eTable 2. Coefficients for Weibull Recalibration Model Applied to 9-Protein Model eFigure 1. Median Protein Levels in Derivation and Validation Cohort eTable 3. Coefficients for the Recalibration Model Applied to Refit Framingham eFigure 2. Calibration Plots for the Refit Framingham Model eTable 4. List of 200 Proteins Associated With the Risk of MI, Stroke, Heart Failure, and Death eFigure 3. Hazard Ratios of Lasso Selected Proteins for Primary End Point of MI, Stroke, Heart Failure, and Death eFigure 4. 9-Protein Prognostic Model Hazard Ratios Adjusted for Framingham Variables eFigure 5. 9-Protein Risk Scores by Event Type This supplementary material has been provided by the authors to give readers additional information about their work. Downloaded From: https://jamanetwork.com/ on 10/02/2021 Supplemental Material Table of Contents 1 Study Design and Data Processing ......................................................................................................... 3 2 Table of 1130 Proteins Measured .......................................................................................................... 4 3 Variable Selection and Statistical Modeling ........................................................................................ -
Estrogen Receptor Alpha (ESR1)-Dependent Regulation of the Mouse Oviductal Transcriptome Katheryn L
University of Kentucky UKnowledge Animal and Food Sciences Faculty Publications Animal and Food Sciences 1-25-2016 Estrogen Receptor Alpha (ESR1)-Dependent Regulation of the Mouse Oviductal Transcriptome Katheryn L. Cerny University of Kentucky, [email protected] Rosanne A. C. Ribeiro University of Kentucky Myoungkun Jeoung University of Kentucky, [email protected] CheMyong Ko University of Illinois at Urbana-Champaign Phillip J. Bridges University of Kentucky, [email protected] Right click to open a feedback form in a new tab to let us know how this document benefits oy u. Follow this and additional works at: https://uknowledge.uky.edu/animalsci_facpub Part of the Animal Sciences Commons, Cell and Developmental Biology Commons, Food Science Commons, and the Physiology Commons Repository Citation Cerny, Katheryn L.; Ribeiro, Rosanne A. C.; Jeoung, Myoungkun; Ko, CheMyong; and Bridges, Phillip J., "Estrogen Receptor Alpha (ESR1)-Dependent Regulation of the Mouse Oviductal Transcriptome" (2016). Animal and Food Sciences Faculty Publications. 7. https://uknowledge.uky.edu/animalsci_facpub/7 This Article is brought to you for free and open access by the Animal and Food Sciences at UKnowledge. It has been accepted for inclusion in Animal and Food Sciences Faculty Publications by an authorized administrator of UKnowledge. For more information, please contact [email protected]. Estrogen Receptor Alpha (ESR1)-Dependent Regulation of the Mouse Oviductal Transcriptome Notes/Citation Information Published in PLOS ONE, v. 11, no. 1, e0147685, p. 1-17. © 2016 Cerny et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. -
Differentially Methylated Genes
10/30/2013 Disclosures Key Rheumatoid Arthritis-Associated Pathogenic Pathways Revealed by Integrative Analysis of RA Omics Datasets Consultant: IGNYTA Funding: Rheumatology Research Foundation By John W. Whitaker, Wei Wang and Gary S. Firestein DNA methylation and gene regulation The RA methylation signature in FLS DNA methylation – DNMT1 (maintaining methylation) OA – DNMT3a, 3b (de novo methylation) RA % of CpG methylation: 0% 100% Nakano et al. 2013 ARD AA06 AANAT AARS ABCA6 ABCC12 ABCG1 ABHD8 ABL2 ABR ABRA ACACA ACAN ACAP3 ACCSL ACN9 ACOT7 ACOX2 ACP5 ACP6 ACPP ACSL1 ACSL3 ACSM5 ACVRL1 ADAM10 ADAM32 ADAM33 ADAMTS12 ADAMTS15 ADAMTS19 ADAMTS4 ADAT3 ADCK4 ADCK5 ADCY2 ADCY3 ADCY6 ADORA1 ADPGK ADPRHL1 ADTRP AFAP1 AFAP1L2 AFF3 AFG3L1P AGAP11 AGER AGTR1 AGXT AIF1L AIM2 AIRE AJUBA AK4 AKAP12 AKAP2 AKR1C2 AKR1E2 AKT2 ALAS1 ALDH1L1-AS1 ALDH3A1 ALDH3B1 ALDH8A1 ALDOB ALDOC ALOX12 ALPK3 ALS2CL ALX4 AMBRA1 AMPD2 AMPD3 ANGPT1 ANGPT2 ANGPTL5 ANGPTL6 ANK1 ANKMY2 ANKRD29 ANKRD37 ANKRD53 ANO3 ANO6 ANO7 ANP32C ANXA6 ANXA8L2 AP1G1 AP2A2 AP2M1 AP5B1 APBA2 APC APCDD1 APOBEC3B APOBEC3G APOC1 APOH APOL6 APOLD1 APOM AQP1 AQP10 AQP6 AQP9 ARAP1 ARHGAP24 ARHGAP42 ARHGEF19 ARHGEF25 ARHGEF3 ARHGEF37 ARHGEF7 ARL4C ARL6IP 5 ARL8B ARMC3 ARNTL2 ARPP21 ARRB1 ARSI ASAH2B ASB10 ASB2 ASCL2 ASIC4 ASPH ATF3 ATF7 ATL1 ATL3 ATP10A ATP1A1 ATP1A4 ATP2C1 ATP5A1 ATP5EP2 ATP5L2 ATP6V0CP3 ATP6V1C1 ATP6V1E2 ATXN7L1 ATXN7L2 AVPI1 AXIN2 B3GNT7 B3GNT8 B3GNTL1 BACH1 BAG3 Differential methylated genes in RA FLS BAIAP2L2 BANP BATF BATF2 BBS2 BCAS4 BCAT1 BCL7C BDKRB2 BEGAIN BEST1 BEST3 -
IL-17RA-Signaling Modulates CD8+ T Cell Survival and Exhaustion During 2 Trypanosoma Cruzi Infection
bioRxiv preprint doi: https://doi.org/10.1101/314336; this version posted May 11, 2018. 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. 1 IL-17RA-signaling modulates CD8+ T cell survival and exhaustion during 2 Trypanosoma cruzi infection 3 Jimena Tosello Boari1,2, Cintia L. Araujo Furlan1,2, Facundo Fiocca Vernengo1,2, Constanza 4 Rodriguez1,2, María C. Ramello1,2, María C. Amezcua Vesely1,2, Melisa Gorosito Serrán1,2, 5 Nicolás G. Nuñez3,4, Wilfrid Richer3,4, Eliane Piaggio3,4, Carolina L. Montes1,2, Adriana 6 Gruppi1,2, Eva V. Acosta Rodríguez1,2*. 7 1 Departamento de Bioquímica Clínica. Facultad de Ciencias Químicas, Universidad 8 Nacional de Córdoba, Córdoba, X5000HUA. Argentina. 9 2 Centro de Investigaciones en Bioquímica Clínica e Inmunología. CONICET. Córdoba, 10 X5000HUA. Argentina. 11 3 SiRIC TransImm «Translational Immunotherapy Team», Translational Research 12 Department, Research Center, PSL Research University, INSERM U932, Institut Curie, 13 Paris, 75005. France. 14 4 Centre d’Investigation Clinique Biothérapie CICBT 1428, Institut Curie, Paris, 75005. 15 France. 16 Running title: IL-17RA signaling regulates CD8+ T cell responses to T. cruzi 17 *Corresponding autor: 18 Eva V. Acosta Rodríguez 19 [email protected] 20 1 bioRxiv preprint doi: https://doi.org/10.1101/314336; this version posted May 11, 2018. 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.