How Genetics Might Explain the Unusual Link Between Malaria and COVID-19
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Duffy, and Mnss Group Systems
Blood Groups – Duffy, and MNSs Group Systems Qun Lu, MD Assistant Professor Division of Transfusion Medicine Department of Pathology and Laboratory Medicine UCLA, School of Medicine Los Angeles, California 2009-03-12 Duffy Blood Group System History . 1950: Mrs. Duffy, a multiply transfused hemophiliac woman, developed an antibody not reacting with the known RBC antigens. Corresponding antigen was named after Mrs. Duffy . 1951: Fyb antibody was described in a woman with 3 pregnancies. 1955: Majority of blacks tested Fy(a-b-) . 1975: Fy(a-b-) RBCs were shown to resist infection by malaria organism Plasmodium vivax. Later: more Duffy antigens (Fy3, Fy4, Fy5, Fy6) were discovered . ISBT: 008 for the Duffy Blood Group Duffy Antigens . Most common: Fya and Fyb. Present at 6 weeks of gestation, well developed at birth – anti- Fy can cause hemolytic disease of newborn . Duffy antigens can be destroyed by enzymes such as ficin, papain, bromelain, chymotrypsin, ZZAP . When compared to Rh or Kell antigens, Duffy antigens are not very immunogenic. So, anti-Fya or anti-Fyb is not common. Fy (a-b-) is not Fy null, but homozygous for Fyb gene, they express Fyb antigen in other tissues, but not on RBCs → only will produce anti-Fya, not anti-Fyb. Fy (a-b-) is negative for Fy6 antigen which is the receptor for P. vivax (Fy6 is + when Fya + or Fyb+) Duffy Antigens . Phenotype Frequencies Chinese Phenotype Whites % Blacks % % Fy (a+b-) 17 9 90.8 Fy (a+b+) 49 1 8.9 Fy (a-b+) 34 22 0.3 Fy (a-b-) rare 68 0 White donor population: Fya: 66% Caucasians, 10% Blacks, 99% Asians Fya – units: 35% Fyb: 83% Caucasians, 23% Blacks, 18.5% Asians Fyb – units: 15% Fy3: 100% Caucasians, 32% Blacks, 99.9% Asians Duffy Antigens . -
Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse
Welcome to More Choice CD Marker Handbook For more information, please visit: Human bdbiosciences.com/eu/go/humancdmarkers Mouse bdbiosciences.com/eu/go/mousecdmarkers Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse CD3 CD3 CD (cluster of differentiation) molecules are cell surface markers T Cell CD4 CD4 useful for the identification and characterization of leukocytes. The CD CD8 CD8 nomenclature was developed and is maintained through the HLDA (Human Leukocyte Differentiation Antigens) workshop started in 1982. CD45R/B220 CD19 CD19 The goal is to provide standardization of monoclonal antibodies to B Cell CD20 CD22 (B cell activation marker) human antigens across laboratories. To characterize or “workshop” the antibodies, multiple laboratories carry out blind analyses of antibodies. These results independently validate antibody specificity. CD11c CD11c Dendritic Cell CD123 CD123 While the CD nomenclature has been developed for use with human antigens, it is applied to corresponding mouse antigens as well as antigens from other species. However, the mouse and other species NK Cell CD56 CD335 (NKp46) antibodies are not tested by HLDA. Human CD markers were reviewed by the HLDA. New CD markers Stem Cell/ CD34 CD34 were established at the HLDA9 meeting held in Barcelona in 2010. For Precursor hematopoetic stem cell only hematopoetic stem cell only additional information and CD markers please visit www.hcdm.org. Macrophage/ CD14 CD11b/ Mac-1 Monocyte CD33 Ly-71 (F4/80) CD66b Granulocyte CD66b Gr-1/Ly6G Ly6C CD41 CD41 CD61 (Integrin b3) CD61 Platelet CD9 CD62 CD62P (activated platelets) CD235a CD235a Erythrocyte Ter-119 CD146 MECA-32 CD106 CD146 Endothelial Cell CD31 CD62E (activated endothelial cells) Epithelial Cell CD236 CD326 (EPCAM1) For Research Use Only. -
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. -
ABO (ISBT 001) Blood Group Alleles V1.1 171023
Names for ABO (ISBT 001) blood group alleles v1.1 171023 Names for ABO (ISBT 001) Blood Group Alleles General description: The ABO system was discovered as in 1900 and is considered the first and clinically most important system. The ABO gene and its 7 coding exons give rise to one of two principally different glycosyltransferases. The A glycosyltransferase (GTA) catalyzes the addition of a donor substrate, UDP-N-acetylgalactosamine, to an acceptor substrate known as the H antigen. The B glycosyltransferase (GTB) differs by only four amino-acid substitutions from GTA and performs the same enzymatic reaction but uses UDP-galactose as donor substrate. In this way, genetic polymorphism gives rise to two related antigens in this system. Any polymorphism or mutation that changes the activity or specificity of the encoded enzyme may therefore alter the ABO phenotype. Alterations that completely abolish enzymic activity give rise to the blood group O phenotype, in which the H antigen remains unconverted and no A or B antigen can be detected. If the genetic alteration decreases the activity of the enzyme, or alters its subcellular location and thereby decreases conversion of H to A or B, a weak A or B subgroup phenotype can result. Furthermore, certain polymorphisms result in promiscuous enzymes that can synthesize both A and B antigen, thereby resulting in the so-called cisAB or B(A) phenotypes. The A phenotype is divided into A1 and A2. The former is more prevalent in all populations and has approximately 5 times more A epitopes per red cell. The GTA1 is also better than GTA2 at synthesizing certain forms of A, .e.g. -
PIR Brochure
Protein Information Resource Integrated Protein Informatics Resource for Genomic & Proteomic Research For four decades the Protein Information Resource (PIR) has provided databases and protein sequence analysis tools to the scientific community, including the Protein Sequence Database, which grew out from the Atlas of Protein Sequence and Structure, edited by Margaret Dayhoff [1965-1978]. Currently, PIR major activities include: i) UniProt (Universal Protein Resource) development, ii) iProClass protein data integration and ID mapping, iii) PIRSF protein pir.georgetown.edu classification, and iv) iProLINK protein literature mining and ontology development. UniProt – Universal Protein Resource What is UniProt? UniProt is the central resource for storing and UniProt (Universal Protein Resource) http://www.uniprot.org interconnecting information from large and = + + disparate sources and the most UniProt: the world's most comprehensive catalog of information on proteins comprehensive catalog of protein sequence and functional annotation. UniProt Knowledgebase UniProt Reference UniProt Archive (UniProtKB) Clusters (UniRef) (UniParc) When to use UniProt databases Integration of Swiss-Prot, TrEMBL Non-redundant reference A stable, and PIR-PSD sequences clustered from comprehensive Use UniProtKB to retrieve curated, reliable, Fully classified, richly and accurately UniProtKB and UniParc for archive of all publicly annotated protein sequences with comprehensive or fast available protein comprehensive information on proteins. minimal redundancy and extensive sequence searches at 100%, sequences for Use UniRef to decrease redundancy and cross-references 90%, or 50% identity sequence tracking from: speed up sequence similarity searches. TrEMBL section UniRef100 Swiss-Prot, Computer-annotated protein sequences TrEMBL, PIR-PSD, Use UniParc to access to archived sequences EMBL, Ensembl, IPI, and their source databases. -
Bioinformatics Analyses of Genomic Imprinting
Bioinformatics Analyses of Genomic Imprinting Dissertation zur Erlangung des Grades des Doktors der Naturwissenschaften der Naturwissenschaftlich-Technischen Fakultät III Chemie, Pharmazie, Bio- und Werkstoffwissenschaften der Universität des Saarlandes von Barbara Hutter Saarbrücken 2009 Tag des Kolloquiums: 08.12.2009 Dekan: Prof. Dr.-Ing. Stefan Diebels Berichterstatter: Prof. Dr. Volkhard Helms Priv.-Doz. Dr. Martina Paulsen Vorsitz: Prof. Dr. Jörn Walter Akad. Mitarbeiter: Dr. Tihamér Geyer Table of contents Summary________________________________________________________________ I Zusammenfassung ________________________________________________________ I Acknowledgements _______________________________________________________II Abbreviations ___________________________________________________________ III Chapter 1 – Introduction __________________________________________________ 1 1.1 Important terms and concepts related to genomic imprinting __________________________ 2 1.2 CpG islands as regulatory elements ______________________________________________ 3 1.3 Differentially methylated regions and imprinting clusters_____________________________ 6 1.4 Reading the imprint __________________________________________________________ 8 1.5 Chromatin marks at imprinted regions___________________________________________ 10 1.6 Roles of repetitive elements ___________________________________________________ 12 1.7 Functional implications of imprinted genes _______________________________________ 14 1.8 Evolution and parental conflict ________________________________________________ -
Loss of BCL-3 Sensitises Colorectal Cancer Cells to DNA Damage, Revealing A
bioRxiv preprint doi: https://doi.org/10.1101/2021.08.03.454995; this version posted August 4, 2021. 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: Loss of BCL-3 sensitises colorectal cancer cells to DNA damage, revealing a role for BCL-3 in double strand break repair by homologous recombination Authors: Christopher Parker*1, Adam C Chambers*1, Dustin Flanagan2, Tracey J Collard1, Greg Ngo3, Duncan M Baird3, Penny Timms1, Rhys G Morgan4, Owen Sansom2 and Ann C Williams1. *Joint first authors. Author affiliations: 1. Colorectal Tumour Biology Group, School of Cellular and Molecular Medicine, Faculty of Life Sciences, Biomedical Sciences Building, University Walk, University of Bristol, Bristol, BS8 1TD, UK 2. Cancer Research UK Beatson Institute, Garscube Estate, Switchback Road, Bearsden Glasgow, G61 1BD UK 3. Division of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, CF14 4XN UK 4. School of Life Sciences, University of Sussex, Sussex House, Falmer, Brighton, BN1 9RH UK 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.08.03.454995; this version posted August 4, 2021. 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. Abstract (250 words) Objective: The proto-oncogene BCL-3 is upregulated in a subset of colorectal cancers (CRC) and increased expression of the gene correlates with poor patient prognosis. The aim is to investigate whether inhibiting BCL-3 can increase the response to DNA damage in CRC. -
Flow Reagents Single Color Antibodies CD Chart
CD CHART CD N° Alternative Name CD N° Alternative Name CD N° Alternative Name Beckman Coulter Clone Beckman Coulter Clone Beckman Coulter Clone T Cells B Cells Granulocytes NK Cells Macrophages/Monocytes Platelets Erythrocytes Stem Cells Dendritic Cells Endothelial Cells Epithelial Cells T Cells B Cells Granulocytes NK Cells Macrophages/Monocytes Platelets Erythrocytes Stem Cells Dendritic Cells Endothelial Cells Epithelial Cells T Cells B Cells Granulocytes NK Cells Macrophages/Monocytes Platelets Erythrocytes Stem Cells Dendritic Cells Endothelial Cells Epithelial Cells CD1a T6, R4, HTA1 Act p n n p n n S l CD99 MIC2 gene product, E2 p p p CD223 LAG-3 (Lymphocyte activation gene 3) Act n Act p n CD1b R1 Act p n n p n n S CD99R restricted CD99 p p CD224 GGT (γ-glutamyl transferase) p p p p p p CD1c R7, M241 Act S n n p n n S l CD100 SEMA4D (semaphorin 4D) p Low p p p n n CD225 Leu13, interferon induced transmembrane protein 1 (IFITM1). p p p p p CD1d R3 Act S n n Low n n S Intest CD101 V7, P126 Act n p n p n n p CD226 DNAM-1, PTA-1 Act n Act Act Act n p n CD1e R2 n n n n S CD102 ICAM-2 (intercellular adhesion molecule-2) p p n p Folli p CD227 MUC1, mucin 1, episialin, PUM, PEM, EMA, DF3, H23 Act p CD2 T11; Tp50; sheep red blood cell (SRBC) receptor; LFA-2 p S n p n n l CD103 HML-1 (human mucosal lymphocytes antigen 1), integrin aE chain S n n n n n n n l CD228 Melanotransferrin (MT), p97 p p CD3 T3, CD3 complex p n n n n n n n n n l CD104 integrin b4 chain; TSP-1180 n n n n n n n p p CD229 Ly9, T-lymphocyte surface antigen p p n p n -
Update on Genome Completion and Annotations
UPDATE ON GENOME COMPLETION AND ANNOTATIONS Update on genome completion and annotations: Protein Information Resource Cathy Wu1and Daniel W. Nebert2* 1Director of PIR, Department of Biochemistry and Molecular Biology, Georgetown University Medical Center, Washington, DC, USA 2Department of Environmental Health and Center for Environmental Genetics (CEG), University of Cincinnati Medical Center, Cincinnati, OH 45267–0056, USA *Correspondence to: Tel: þ1 513 558 4347; Fax: þ1 513 558 3562; E-mail: [email protected] Date received (in revised form): 11th January 2004 Abstract The Protein Information Resource (PIR) recently joined the European Bioinformatics Institute (EBI) and Swiss Institute of Bioinformatics (SIB) to establish UniProt — the Universal Protein Resource — which now unifies the PIR, Swiss-Prot and TrEMBL databases. The PIRSF (SuperFamily) classification system is central to the PIR/UniProt functional annotation of proteins, providing classifications of whole proteins into a network structure to reflect their evolutionary relationships. Data integration and associative studies of protein family, function and structure are supported by the iProClass database, which offers value-added descriptions of all UniProt proteins with highly informative links to more than 50 other databases. The PIR system allows consistent, rich and accurate protein annotation for all investigators. Keywords: protein web sites, protein family, functional annotation Introduction system.2 This framework is supported by the iProClass integrated database of protein family, function and structure.3 The high-throughput genome projects have resulted in a rapid iProClass offers value-added descriptions of all UniProt accumulation of genome sequences for a large number of proteins and has highly informative links to more than 50 organisms. -
Analysis of RNA Expression Profiles Identifies Dysregulated Vesicle Trafficking Pathways in Creutzfeldt-Jakob Disease
Molecular Neurobiology (2019) 56:5009–5024 https://doi.org/10.1007/s12035-018-1421-1 Analysis of RNA Expression Profiles Identifies Dysregulated Vesicle Trafficking Pathways in Creutzfeldt-Jakob Disease Anna Bartoletti-Stella1 & Patrizia Corrado2 & Nicola Mometto2 & Simone Baiardi2 & Pascal F. Durrenberger3 & Thomas Arzberger4,5 & Richard Reynolds6 & Hans Kretzschmar5 & Sabina Capellari1,2 & Piero Parchi1,7 Received: 18 July 2018 /Accepted: 1 November 2018 /Published online: 16 November 2018 # Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Functional genomics applied to the study of RNA expression profiles identified several abnormal molecular processes in experimental prion disease. However, only a few similar studies have been carried out to date in a naturally occurring human prion disease. To better characterize the transcriptional cascades associated with sporadic Creutzfeldt-Jakob disease (sCJD), the most common human prion disease, we investigated the global gene expression profile in samples from the frontal cortex of 10 patients with sCJD and 10 non-neurological controls by microarray analysis. The comparison identified 333 highly differentially expressed genes (hDEGs) in sCJD. Functional enrichment Gene Ontology analysis revealed that hDEGs were mainly associated with synaptic transmission, including GABA (q value = 0.049) and glutamate (q value = 0.005) signaling, and the immune/ inflammatory response. Furthermore, the analysis of cellular components performed on hDEGs showed a compromised regu- lation of vesicle-mediated transport with mainly up-regulated genes related to the endosome (q value = 0.01), lysosome (q value = 0.04), and extracellular exosome (q value < 0.01). A targeted analysis of the retromer core component VPS35 (vacuolar protein sorting-associated protein 35) showed a down-regulation of gene expression (p value= 0.006) and reduced brain protein levels (p value= 0.002). -
Demonstration of SNP Genotyping Using a Single Nucleotide Extension Method and the 3500 Series Genetic Analyzer
YOUR INNOVATIVE RESEARCH ABO BLOOD GROUP DETERMINATION Demonstration of SNP Genotyping Using a Single Nucleotide Extension Method and the 3500 Series Genetic Analyzer Introduction This publication describes the collaboration The Department of Legal between researchers at the Okayama Medicine, Okayama University Graduate School of Medicine, University Graduate School and at Applied Dentistry and Pharmaceutical Sciences develops research Biosystems (Foster City, CA, USA), aimed methodologies for crime detec- tion techniques that utilize DNA ® at demonstrating a SNaPshot Multiplex analyses, including the discov- System genotyping protocol on the Applied ery of new polymorphic DNA loci and tools to identify gender Biosystems® 3500xL Genetic Analyzer from sample material. Visiting fellow Dr. Doi is involved in an capillary electrophoresis (CE) instrument. ongoing effort to refine DNA- based blood typing techniques and is also developing a DNA Genotyping to determine ABO blood type identification method that is useful on composite samples. group status is a valuable tool in forensic Pictured are Dr. Yusuke Doi (top applications where routine serological right); Dr. Yuji Yamamoto (top left); Mayumi Okashita (bottom typing is not feasible. Therefore, right); and Hiroko Ide (bottom left). laboratories that are developing ABO blood group typing applications appreciate workflows that provide fast, accurate, and reliable results, particularly if the assay delivers data for samples that contain very ABO Genotyping of six SNP sites within the ABO gene (cor- low concentrations of gDNA or degraded Identification of specific combinations of responding to nucleotides 261, 297, 681, 703, gDNA. In this publication, we present a single nucleotide polymorphisms (SNPs) 802, and 803). These six sites are sufficient in the ABO locus on chromosome 9 can for accurate determination of ten common simple, rapid, and robust workflow for be used to determine ABO blood type. -
Positive and Negative Roles of an Initiator Protein at an Origin of Replication
Proc. Natl. Acad. Sci. USA Vol. 83, pp. 9645-9649, December 1986 Genetics Positive and negative roles of an initiator protein at an origin of replication (plasmid R6K/promoter deletions/replication control/autoregulation/immunoassays) MARCIN FILUTOWICZ, MICHAEL J. MCEACHERN, AND DONALD R. HELINSKI Department of Biology, University of California, San Diego, La Jolla, CA 92093 Contributed by Donald R. Helinski, September 5, 1986 ABSTRACT The properties of mutants in the pir gene of origin activity (20) and autogenous regulation of the pir gene, plasmid R6K have suggested that the a protein plays a dual respectively (18, 21). role; it is required for replication to occur and also plays a role A negative role for the irprotein in the control ofR6K copy in the negative control of the plasmid copy number. In our number was suggested originally by the isolation of a mutant present study, we have found that the Xr level in cell extracts of of the R6K derivative plasmid pRK419, designated Cos405, Escherichia coli strains containing R6K derivatives is surpris- that maintained itself at a greatly increased copy number as ingly high (-104 dimers per cell) and that this level is not a result of a single amino acid substitution within the Xr altered in cells carrying high copy number pir mutants. The protein. This mutational change was recessive to wild-type wild-type and a high copy mutant (Cos4O5) pir gene were protein (22). The properties ofthis mutant protein along with inserted downstream of promoters of different strengths to the well-established positive function of ir protein in R6K measure the copy number of an R6K y replicon as a function replication (3, 4) lead to the conclusion that the ir protein ofa 1000-fold range ofintracellular ir concentrations.