Identification and Characterisation of SMIM1 Variants Determining the Vel Blood Group
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Other Blood Group Systems—Diego,Yt, Xg, Scianna, Dombrock
Review: other blood group systems—Diego, Yt, Xg, Scianna, Dombrock, Colton, Landsteiner- Wiener, and Indian K.M. B YRNE AND P.C. B YRNE Introduction Diego Blood Group System This review was prepared to provide a basic The Diego blood group system (ISBT: DI/010) has overview of “Other Blood Groups.” Some of the more expanded from its humble beginnings to now include major blood group systems, i.e., ABO, Rh, Kell, Duffy, up to 21 discrete antigens (Table 1). 3 Band 3, an anion and Kidd, are also reviewed in this issue and are not exchange, multi-pass membrane glycoprotein, is the covered here. The sheer mass of data on the MNS basic structure that carries the Diego system antigenic blood group system is so extensive and complicated determinants. 4 The gene that encodes the Band 3 that it justifies a review all of its own, and it is therefore protein is named SLC4A1 and its chromosomal location not discussed in this article. However, various aspects is 17q12–q21. 4 of MNS were described in recent papers in Di a and Di b are antithetical, resulting from a single Immunohematology. 1,2 nucleotide substitution (2561T>C) that gives rise to The blood group systems that are covered are those amino acid changes in the Band 3 protein (Leu854Pro). that most workers believe to have some degree of To date, the Di(a–b–) phenotype has not been clinical importance or interesting features: Diego (DI), described. The Di a and Di b antigens are resistant to Yt (YT), Xg (XG), Scianna (SC), Dombrock (DO), Colton treatment with the following enzymes/chemicals: (CO), Landsteiner-Wiener (LW), and Indian (IN). -
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. -
Study of Blood Group (ABO and RH) Association and Secretor Status of ABH Substances in Patients with Systemic Lupus Erythematosus
IOSR Journal of Dental and Medical Sciences (IOSR-JDMS) e-ISSN: 2279-0853, p-ISSN: 2279-0861.Volume 18, Issue 5 Ser. 12 (May. 2019), PP 31-35 www.iosrjournals.org Study of Blood Group (ABO and RH) Association and Secretor Status of ABH Substances in Patients with Systemic Lupus Erythematosus Dr. Tashi Paleng1, Dr. A. Barindra Sharma2, Dr.Santa Naorem3, Dr. Laikangbam Dayalaxmi4, Dr. Eric Hilton Wanniang5, Dr. Eswara Moorthy G6 1Postgraduate trainee, 2Professor & Head, 3Professor, 4Senoir Resident, 5Postgraduate trainee, 6Postgraduate trainee 1,2,4,5,6Department of Transfusion Medicine, 3Department of Medicine, Regional Institute of Medical Sciences, Imphal-795004, Manipur, India Corresponding Author: Dr. Tashi Paleng Abstract: Individuals who secrete their blood group antigens in the body fluids are called secretors and individuals who do not secrete are called non-secretors. Non-secretors of blood group antigens have been found to be associated with many infectious and autoimmune diseases by many previous studies. The aims of our study were to find out any association between ABO blood group, RhD blood group and secretor status of ABH substances with the patients of Systemic Lupus Erythematosus. This Case Control study was carried out in the Department of Transfusion Medicine in collaboration with the Department of Medicine, Regional Institute of Medical Sciences, Imphal Manipur from September 2016 to August 2018. 75 confirmed SLE patients attending Rheumatology OPD, Department of Medicine and 75 healthy sex matched voluntary blood donors attending blood bank, Department of Tranfusion Medicine have been enrolled in the study. Their blood were typed for ABO and RhD groups using conventional tube technique and saliva were tested for secretor and non-secretor status using heamagglutination inhibition test. -
Association Between ABO and Duffy Blood Types and Circulating Chemokines and Cytokines
Genes & Immunity (2021) 22:161–171 https://doi.org/10.1038/s41435-021-00137-5 ARTICLE Association between ABO and Duffy blood types and circulating chemokines and cytokines 1 2 3 4 5 6 Sarah C. Van Alsten ● John G. Aversa ● Loredana Santo ● M. Constanza Camargo ● Troy Kemp ● Jia Liu ● 4 7 8 Wen-Yi Huang ● Joshua Sampson ● Charles S. Rabkin Received: 11 February 2021 / Revised: 30 April 2021 / Accepted: 17 May 2021 / Published online: 8 June 2021 This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021, corrected publication 2021 Abstract Blood group antigens are inherited traits that may play a role in immune and inflammatory processes. We investigated associations between blood groups and circulating inflammation-related molecules in 3537 non-Hispanic white participants selected from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Whole-genome scans were used to infer blood types for 12 common antigen systems based on well-characterized single-nucleotide polymorphisms. Serum levels of 96 biomarkers were measured on multiplex fluorescent bead-based panels. We estimated marker associations with blood type using weighted linear or logistic regression models adjusted for age, sex, smoking status, and principal components of p 1234567890();,: 1234567890();,: population substructure. Bonferroni correction was used to control for multiple comparisons, with two-sided values < 0.05 considered statistically significant. Among the 1152 associations tested, 10 were statistically significant. Duffy blood type was associated with levels of CXCL6/GCP2, CXCL5/ENA78, CCL11/EOTAXIN, CXCL1/GRO, CCL2/MCP1, CCL13/ MCP4, and CCL17/TARC, whereas ABO blood type was associated with levels of sVEGFR2, sVEGFR3, and sGP130. -
Genetic Screening for the Vel- Phenotype Circumvents Difficult Serological Screening Due to Variable Vel Expression Levels
UvA-DARE (Digital Academic Repository) Genetic basis of rare blood group variants Wigman, L. Publication date 2013 Link to publication Citation for published version (APA): Wigman, L. (2013). Genetic basis of rare blood group variants. General rights 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), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. UvA-DARE is a service provided by the library of the University of Amsterdam (https://dare.uva.nl) Download date:28 Sep 2021 Chapter 6 Genetic screening for the Vel- phenotype circumvents difficult serological screening due to variable Vel expression levels Lonneke Haer-Wigman1 Shabnam Solati1 Aïcha Ait Soussan1 Erik Beckers2 Pim van der Harst3 Marga van Hulst-Sundermeijer4 Peter Ligthart1 Dick van Rhenen5 Hein Schepers3 Tamara Stegmann1 Masja de Haas1 C. Ellen van der Schoot1 1 Sanquin Research, Amsterdam and Landsteiner Laboratory, Academic Medical Centre, University of Amsterdam, Amsterdam, the Netherlands 2 Maastricht University Medical Centre+, Maastricht, The Netherlands 3 University Medical Center Groningen, University of Groningen, Groningen, The Netherlands 4 Sanquin Diagnostic Services, Amsterdam, The Netherlands 5 Sanquin Blood Bank, Rotterdam, Netherlands Manuscript under preparation Chapter 6 Abstract Background: Serological determination of the Vel- phenotype is challenging due to variable Vel expression levels. -
Fcrl5 and T-Bet Define Influenza-Specific Memory B Cells That Predict Long-Lived Antibody 2 Responses 3 4 Anoma Nellore1, Christopher D
bioRxiv preprint doi: https://doi.org/10.1101/643973; this version posted May 20, 2019. 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. 1 Fcrl5 and T-bet define influenza-specific memory B cells that predict long-lived antibody 2 responses 3 4 Anoma Nellore1, Christopher D. Scharer2, Rodney G. King3, Christopher M. Tipton4, Esther 5 Zumaquero3, Christopher Fucile3,5, Betty Mousseau3, John E. Bradley6, Kevin Macon3, Tian Mi2, 6 Paul A. Goepfert1,3, John F. Kearney,3 Jeremy M. Boss,2 Troy D. Randall6, Ignacio Sanz4, 7 Alexander Rosenberg3,5, Frances E. Lund3 8 9 10 11 1Dept. of Medicine, Division of Infectious Disease, 3Dept. of Microbiology, 5Informatics Institute, 12 6Dept of Medicine, Division of Clinical Immunology and Rheumatology, at The University of 13 Alabama at Birmingham, Birmingham, AL 35294 USA 14 15 2Dept. of Microbiology and Immunology and 4Department of Medicine, Division of 16 Rheumatology, at Emory University, Atlanta, GA 30322, USA 17 18 19 20 21 22 23 24 25 26 27 28 Lead Contact and to whom correspondence should be addressed: [email protected] 29 30 Mailing address: Frances E. Lund, PhD 31 Charles H. McCauley Professor and Chair 32 Dept of Microbiology 33 University of Alabama at Birmingham (UAB) 34 Dept of Microbiology 35 University of Alabama at Birmingham (UAB) 36 276 BBRB Box 11 37 1720 2nd Avenue South 38 Birmingham AL 35294-2170 39 40 SHORT RUNNING TITLE: Effector memory B cell development after influenza vaccination 41 bioRxiv preprint doi: https://doi.org/10.1101/643973; this version posted May 20, 2019. -
Genes and Human History
Genes and human history Gil McVean, Department of Statistics, Oxford Contact: [email protected] 2 3 • Where does the variation come from? • How old are the genetic differences between us? • Are these differences important? How different are our genomes? 5 Serological techniques for detecting variation Rabbit Anti-A antibodies Human A A B AB O 6 Blood group systems in humans • 28 known systems – 39 genes, 643 alleles System Genes Alleles Knops CR1 24+ ABO ABO 102 Landsteiner- ICAM4 3 Wiener Colton C4A, C4B 7+ Lewis FUT3, FUT6 14/20 Chido-rodgers AQP1 7 Lutheran LU 16 Colton DAF 10 MNS GYPA,GYPB,G 43 Diego SLC4A1 78 YPE Dombrock DO 9 OK BSG 2 Duffy FY 9 P-related A4GALT, 14/5 Gerbich GYPC 9 B3GALT3 GIL AQP3 2 RAPH-MER2 CD151 3 H/h FUT1, FUT2 27/22 Rh RHCE, RHD, 129 I GCNT2 7 RHAG Indian CD44 2 Scianna ERMAP 4 Kell KEL, XK 33/30 Xg XG, CD99 - Kidd SLC14A1 8 YT ACHE 4 http://www.bioc.aecom.yu.edu/bgmut/summary.htm 7 Protein electroporesis • Changes in mass/charge ratio resulting from amino acid substitutions in proteins can be detected Starch or agar gel -- +- + +- - - - -- - + - + +- -- Direction of travel • In humans, about 30% of all loci show polymorphism with a 6% chance of a pair of randomly drawn alleles at a locus being different Lewontin and Hubby (1966) Harris(1966) 8 The rise of DNA sequencing GATAAGACGGTGATACTCACGCGACGGGCTTGGGCGCCGACTCGTTCAGACGGTGACCCAACTTATCCGATCGACCC CGGGTCCCGATTTAGACTCGGTATCATTTCTGGTGATTATCGCCTGCAGGTTCAAGAACACGTTTGCAGCAAGAAGT GAGGGATTTTGTCAGTGATCCCAGTCTACGGAGCCAGTCACCTCTGGTAGTGAAATTTTATTCGTTCATCTTCATAT AAGTCGCAGACCGCACGATGGGGGACAGAATACTCGCACAGGAAGAACCGCGATGAACCGAGGTAACCTAACATCCT -
Guidelines for Transfusion and Patient Blood Management, and Discuss Relevant Transfusion Related Topics
Guidelines for Transfusion and Community Transfusion Committee Patient Blood Management Community Transfusion Committee CHAIR: Aina Silenieks, M.D., [email protected] MEMBERS: A.Owusu-Ansah, M.D. S. Dunder, M.D. M. Furasek, M.D. D. Lester, M.D. D. Voigt, M.D. B. J. Wilson, M.D. COMMUNITY Juliana Cordero, Blood Bank Coordinator, CHI Health Nebraska Heart REPRESENTATIVES: Becky Croner, Laboratory Services Manager, CHI Health St. Elizabeth Mackenzie Gasper, Trauma Performance Improvement, Bryan Medical Center Kelly Gillaspie, Account Executive, Nebraska Community Blood Bank Mel Hanlon, Laboratory Specialist - Transfusion Medicine, Bryan Medical Center Kyle Kapple, Laboratory Quality Manager, Bryan Medical Center Lauren Kroeker, Nurse Manager, Bryan Medical Center Christina Nickel, Clinical Laboratory Director, Bryan Medical Center Rachael Saniuk, Anesthesia and Perfusion Manager, Bryan Medical Center Julie Smith, Perioperative & Anesthesia Services Director, Bryan Medical Center Elaine Thiel, Clinical Quality Improvement/Trans. Safety Officer, Bryan Med Center Kelley Thiemann, Blood Bank Lead Technologist, CHI Health St. Elizabeth Cheryl Warholoski, Director, Nebraska Operations, Nebraska Community Blood Bank Jackie Wright, Trauma Program Manager, Bryan Medical Center CONSULTANTS: Jed Gorlin, M.D., Innovative Blood Resources [email protected] Michael Kafka, M.D., LifeServe Blood Center [email protected] Alex Smith, D.O., LifeServe Blood Center [email protected] Nancy Van Buren, M.D., Innovative -
Single-Cell RNA Sequencing Demonstrates the Molecular and Cellular Reprogramming of Metastatic Lung Adenocarcinoma
ARTICLE https://doi.org/10.1038/s41467-020-16164-1 OPEN Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma Nayoung Kim 1,2,3,13, Hong Kwan Kim4,13, Kyungjong Lee 5,13, Yourae Hong 1,6, Jong Ho Cho4, Jung Won Choi7, Jung-Il Lee7, Yeon-Lim Suh8,BoMiKu9, Hye Hyeon Eum 1,2,3, Soyean Choi 1, Yoon-La Choi6,10,11, Je-Gun Joung1, Woong-Yang Park 1,2,6, Hyun Ae Jung12, Jong-Mu Sun12, Se-Hoon Lee12, ✉ ✉ Jin Seok Ahn12, Keunchil Park12, Myung-Ju Ahn 12 & Hae-Ock Lee 1,2,3,6 1234567890():,; Advanced metastatic cancer poses utmost clinical challenges and may present molecular and cellular features distinct from an early-stage cancer. Herein, we present single-cell tran- scriptome profiling of metastatic lung adenocarcinoma, the most prevalent histological lung cancer type diagnosed at stage IV in over 40% of all cases. From 208,506 cells populating the normal tissues or early to metastatic stage cancer in 44 patients, we identify a cancer cell subtype deviating from the normal differentiation trajectory and dominating the metastatic stage. In all stages, the stromal and immune cell dynamics reveal ontological and functional changes that create a pro-tumoral and immunosuppressive microenvironment. Normal resident myeloid cell populations are gradually replaced with monocyte-derived macrophages and dendritic cells, along with T-cell exhaustion. This extensive single-cell analysis enhances our understanding of molecular and cellular dynamics in metastatic lung cancer and reveals potential diagnostic and therapeutic targets in cancer-microenvironment interactions. 1 Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea. -
CD45) 6 7 8 9 10 11 12 13 Melissa L
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.29.318709; this version posted September 29, 2020. 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. 1 2 3 4 5 The roseoloviruses downregulate the protein tyrosine phosphatase PTPRC (CD45) 6 7 8 9 10 11 12 13 Melissa L. Whyte1, Kelsey Smith1, Amanda Buchberger2,4, Linda Berg Luecke 4, Lidya 14 Handayani Tjan3, Yasuko Mori3, Rebekah L Gundry2,4, and Amy W. Hudson1# 15 16 17 18 19 20 21 22 23 24 25 26 27 1: Department of Microbiology and Immunology, Medical College of Wisconsin, Milwaukee, WI 28 2. Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI 29 3. Division of Clinical Virology, Kobe University Graduate School of Medicine, Kobe, Japan 30 4: Current address: CardiOmics Program, Center for Heart and Vascular Research; Division of 31 Cardiovascular Medicine; and Department of Cellular and Integrative Physiology, University of 32 Nebraska Medical Center, Omaha, NE 33 34 35 36 #To whom correspondence should be addressed: [email protected] 37 38 39 40 Runnning title: Roseolovirus downregulation of CD45 41 42 43 44 45 46 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.09.29.318709; this version posted September 29, 2020. 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. 47 Abstract 48 Like all herpesviruses, the roseoloviruses (HHV6A, -6B, and -7) establish lifelong 49 infection within their host, requiring these viruses to evade host anti-viral responses. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of