Leukocyte Ig-Like Receptors the Expanding Spectrum of Ligands
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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. -
Proteomic and Functional Characterisation of LILRA3: Role In
Proteomic and Functional Characterisation of LILRA3: Role in Inflammation Terry Hung-Yi Lee A thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy Faculty of Medicine The University of New South Wales 2014 PLEASE TYPE THE UNIVERSITY OF NEW SOUTH WALES Thosis/Dissertatlon Sh09t Surname or Fam1ly name L l .... f.- First name / 'f (Z (1. 1 Other name/s H "'" ~ - \'I Abbre111at1on lor degree as given in the University calendar. Pt> .fh •I "!.1 '.j 17 J/ 0 School f t. t,...., ..> I <>f lVI e.~, u1 f <J t.r-UJ Faculty: M e. o1; c.• " e Tlrte Pr,te.;) ""l(. (j. f' il ,: ..... d .;" "' u"'"r &- d·er;..c&.L J .<\ ~ l/<.tf. Al: ~ " ' ~ ..... , ...., ~~~"""'" " "'~" Abstract 350 word s ma•imum: (PLEASE TYPE) Se e (f'JicJE' -------- Declaration relating to disposition of project thos tsldissortation I hereby grant to the Un1vers1ty of New South Wales or rts agents the nght to areh1ve and to make avatlabte my theSIS or dissertation '" whole or 1n part 1n the University libranes in all forms of media. now or here after known. subject to the provisions of the Copyright Act 1968 I retain all property nghts such as patent nghts I also retain the right to use in future works (such as artldes or bOOks) all or pan of this thesis or dlssenat1on I also authonse Un1vers1ty Microfilms to use the 350 word abstract of my thesis In Dissertation Abstracts International (this is appticable to doctoral ~~· ~l.A I Po .~.. <j 'I fJs JV VJignatur~ J1 Witness Date The Un1vers1ty recogn•ses that there may be exceptional circumstances requinng restrictions on copying or conditions on use. -
Phyre 2 Results for A1YIY0
Email [email protected] Description A1YIY0 Tue Jul 30 13:19:15 BST Date 2013 Unique Job 1035bc4b501530df ID Detailed template information # Template Alignment Coverage 3D Model Confidence % i.d. Template Information PDB header:cell adhesion Chain: A: PDB Molecule:down syndrome cell adhesion molecule 1 c3dmkA_ Alignment 100.0 14 (dscam) isoform PDBTitle: crystal structure of down syndrome cell adhesion molecule (dscam)2 isoform 1.30.30, n-terminal eight ig domains PDB header:cell adhesion 2 c2om5A_ Alignment 100.0 20 Chain: A: PDB Molecule:contactin 2; PDBTitle: n-terminal fragment of human tax1 PDB header:cell adhesion 3 c3jxaA_ Alignment 100.0 21 Chain: A: PDB Molecule:contactin 4; PDBTitle: immunoglobulin domains 1-4 of mouse cntn4 PDB header:signaling protein/transferase Chain: A: PDB Molecule:tek tyrosine kinase variant; 4 c4k0vA_ 100.0 12 Alignment PDBTitle: structural basis for angiopoietin-1 mediated signaling initiation PDB header:immune system Chain: A: PDB Molecule:natural cytotoxicity triggering receptor 1; 5 c1p6fA_ 100.0 9 Alignment PDBTitle: structure of the human natural cytotoxicity receptor nkp46 PDB header:immune system/receptor 6 c1ollA_ Alignment 99.9 9 Chain: A: PDB Molecule:nk receptor; PDBTitle: extracellular region of the human receptor nkp46 PDB header:viral protein Chain: A: PDB Molecule:hoc head outer capsid protein; 7 c3shsA_ 99.9 18 Alignment PDBTitle: three n-terminal domains of the bacteriophage rb49 highly immunogenic2 outer capsid protein (hoc) PDB header:immune system Chain: E: PDB Molecule:natural -
CD226 T Cells Expressing the Receptors TIGIT and Divergent Phenotypes of Human Regulatory
The Journal of Immunology Divergent Phenotypes of Human Regulatory T Cells Expressing the Receptors TIGIT and CD226 Christopher A. Fuhrman,*,1 Wen-I Yeh,*,1 Howard R. Seay,* Priya Saikumar Lakshmi,* Gaurav Chopra,† Lin Zhang,* Daniel J. Perry,* Stephanie A. McClymont,† Mahesh Yadav,† Maria-Cecilia Lopez,‡ Henry V. Baker,‡ Ying Zhang,x Yizheng Li,{ Maryann Whitley,{ David von Schack,x Mark A. Atkinson,* Jeffrey A. Bluestone,‡ and Todd M. Brusko* Regulatory T cells (Tregs) play a central role in counteracting inflammation and autoimmunity. A more complete understanding of cellular heterogeneity and the potential for lineage plasticity in human Treg subsets may identify markers of disease pathogenesis and facilitate the development of optimized cellular therapeutics. To better elucidate human Treg subsets, we conducted direct transcriptional profiling of CD4+FOXP3+Helios+ thymic-derived Tregs and CD4+FOXP3+Helios2 T cells, followed by comparison with CD4+FOXP32Helios2 T conventional cells. These analyses revealed that the coinhibitory receptor T cell Ig and ITIM domain (TIGIT) was highly expressed on thymic-derived Tregs. TIGIT and the costimulatory factor CD226 bind the common ligand CD155. Thus, we analyzed the cellular distribution and suppressive activity of isolated subsets of CD4+CD25+CD127lo/2 T cells expressing CD226 and/or TIGIT. We observed TIGIT is highly expressed and upregulated on Tregs after activation and in vitro expansion, and is associated with lineage stability and suppressive capacity. Conversely, the CD226+TIGIT2 population was associated with reduced Treg purity and suppressive capacity after expansion, along with a marked increase in IL-10 and effector cytokine production. These studies provide additional markers to delineate functionally distinct Treg subsets that may help direct cellular therapies and provide important phenotypic markers for assessing the role of Tregs in health and disease. -
Differential Patterns of Allelic Loss in Estrogen Receptor-Positive Infiltrating Lobular and Ductal Breast Cancer
GENES, CHROMOSOMES & CANCER 47:1049–1066 (2008) Differential Patterns of Allelic Loss in Estrogen Receptor-Positive Infiltrating Lobular and Ductal Breast Cancer L. W. M. Loo,1 C. Ton,1,2 Y.-W. Wang,2 D. I. Grove,2 H. Bouzek,1 N. Vartanian,1 M.-G. Lin,1 X. Yuan,1 T. L. Lawton,3 J. R. Daling,2 K. E. Malone,2 C. I. Li,2 L. Hsu,2 and P.L. Porter1,2,3* 1Division of Human Biology,Fred Hutchinson Cancer Research Center,Seattle,WA 2Division of Public Health Sciences,Fred Hutchinson Cancer Research Center,Seattle,WA 3Departmentof Pathology,Universityof Washington,Seattle,WA The two main histological types of infiltrating breast cancer, lobular (ILC) and the more common ductal (IDC) carcinoma are morphologically and clinically distinct. To assess the molecular alterations associated with these breast cancer subtypes, we conducted a whole-genome study of 166 archival estrogen receptor (ER)-positive tumors (89 IDC and 77 ILC) using the Affy- metrix GeneChip® Mapping 10K Array to identify sites of loss of heterozygosity (LOH) that either distinguished, or were shared by, the two phenotypes. We found single nucleotide polymorphisms (SNPs) of high-frequency LOH (>50%) common to both ILC and IDC tumors predominately in 11q, 16q, and 17p. Overall, IDC had a slightly higher frequency of LOH events across the genome than ILC (fractional allelic loss 5 0.186 and 0.156). By comparing the average frequency of LOH by chro- mosomal arm, we found IDC tumors with significantly (P < 0.05) higher frequency of LOH on 3p, 5q, 8p, 9p, 20p, and 20q than ILC tumors. -
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. -
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, -
Binding Mode of the Side-By-Side Two-Igv Molecule CD226/DNAM-1 to Its Ligand CD155/Necl-5
Binding mode of the side-by-side two-IgV molecule CD226/DNAM-1 to its ligand CD155/Necl-5 Han Wanga, Jianxun Qib, Shuijun Zhangb,1, Yan Lib, Shuguang Tanb,2, and George F. Gaoa,b,2 aResearch Network of Immunity and Health (RNIH), Beijing Institutes of Life Science, Chinese Academy of Sciences (CAS), 100101 Beijing, China; and bCAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, 100101 Beijing, China Edited by K. Christopher Garcia, Stanford University School of Medicine, Stanford, CA, and approved December 3, 2018 (received for review September 11, 2018) Natural killer (NK) cells are important component of innate immu- CD226, also known as DNAM-1, belongs to the Ig superfamily nity and also contribute to activating and reshaping the adaptive and contains two extracellular Ig-like domains (CD226-D1 and immune responses. The functions of NK cells are modulated by CD226-D2), and is widely expressed in monocytes, platelets, multiple inhibitory and stimulatory receptors. Among these recep- T cells, and most of the resting NK cells (8, 13, 19, 20). The tors, the activating receptor CD226 (DNAM-1) mediates NK cell intracellular domain of CD226 does not contain a tyrosine-based activation via binding to its nectin-like (Necl) family ligand, CD155 activation motif, which is accepted as responsible for activating (Necl-5). Here, we present a unique side-by-side arrangement signal transduction of stimulatory molecules (13). Instead, it pattern of two tandem immunoglobulin V-set (IgV) domains transmits the downstream signaling by phosphorylation of in- deriving from the ectodomains of both human CD226 (hCD226- tracellular phosphorylation sites and subsequent association with ecto) and mouse CD226 (mCD226-ecto), which is substantially integrin lymphocyte function-associated antigen 1 (21). -
CD Markers Are Routinely Used for the Immunophenotyping of Cells
ptglab.com 1 CD MARKER ANTIBODIES www.ptglab.com Introduction The cluster of differentiation (abbreviated as CD) is a protocol used for the identification and investigation of cell surface molecules. So-called CD markers are routinely used for the immunophenotyping of cells. Despite this use, they are not limited to roles in the immune system and perform a variety of roles in cell differentiation, adhesion, migration, blood clotting, gamete fertilization, amino acid transport and apoptosis, among many others. As such, Proteintech’s mini catalog featuring its antibodies targeting CD markers is applicable to a wide range of research disciplines. PRODUCT FOCUS PECAM1 Platelet endothelial cell adhesion of blood vessels – making up a large portion molecule-1 (PECAM1), also known as cluster of its intracellular junctions. PECAM-1 is also CD Number of differentiation 31 (CD31), is a member of present on the surface of hematopoietic the immunoglobulin gene superfamily of cell cells and immune cells including platelets, CD31 adhesion molecules. It is highly expressed monocytes, neutrophils, natural killer cells, on the surface of the endothelium – the thin megakaryocytes and some types of T-cell. Catalog Number layer of endothelial cells lining the interior 11256-1-AP Type Rabbit Polyclonal Applications ELISA, FC, IF, IHC, IP, WB 16 Publications Immunohistochemical of paraffin-embedded Figure 1: Immunofluorescence staining human hepatocirrhosis using PECAM1, CD31 of PECAM1 (11256-1-AP), Alexa 488 goat antibody (11265-1-AP) at a dilution of 1:50 anti-rabbit (green), and smooth muscle KD/KO Validated (40x objective). alpha-actin (red), courtesy of Nicola Smart. PECAM1: Customer Testimonial Nicola Smart, a cardiovascular researcher “As you can see [the immunostaining] is and a group leader at the University of extremely clean and specific [and] displays Oxford, has said of the PECAM1 antibody strong intercellular junction expression, (11265-1-AP) that it “worked beautifully as expected for a cell adhesion molecule.” on every occasion I’ve tried it.” Proteintech thanks Dr. -
Activating Natural Killer Cell Receptors: KIR Recognition of a Cancer-Associated Ligand
Activating natural killer cell receptors: KIR recognition of a cancer-associated ligand Lavanya Thiruchelvam-Kyle PhD Thesis Institute of Basic Medical Sciences Department of Molecular Medicine Division of Anatomy University of Oslo 2018 © Lavanya Thiruchelvam-Kyle, 2018 Series of dissertations submitted to the Faculty of Medicine, University of Oslo ISBN 978-82-8377-245-6 All rights reserved. No part of this publication may be reproduced or transmitted, in any form or by any means, without permission. Cover: Hanne Baadsgaard Utigard. Print production: Reprosentralen, University of Oslo. ACKNOWLEDGMENTS ........................................................................................................................................... 4 ABBREVIATIONS ...................................................................................................................................................... 6 PAPERS INCLUDED .................................................................................................................................................. 9 INTRODUCTION ...................................................................................................................................................... 10 The never ending host pathogen arms race ......................................................................................................... 11 The innate immune system ................................................................................................................................... 12 -
Characteristics of B Cell-Associated Gene Expression in Patients With
MOLECULAR MEDICINE REPORTS 13: 4113-4121, 2016 Characteristics of B cell-associated gene expression in patients with coronary artery disease WENWEN YAN*, HAOMING SONG*, JINFA JIANG, WENJUN XU, ZHU GONG, QIANGLIN DUAN, CHUANGRONG LI, YUAN XIE and LEMIN WANG Department of Internal Medicine, Division of Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, P.R. China Received May 19, 2015; Accepted February 12, 2016 DOI: 10.3892/mmr.2016.5029 Abstract. The current study aimed to identify differentially with the two other groups. Additionally the gene expression expressed B cell-associated genes in peripheral blood mono- levels of B cell regulatory genes were measured. In patients nuclear cells and observe the changes in B cell activation at with AMI, CR1, LILRB2, LILRB3 and VAV1 mRNA expres- different stages of coronary artery disease. Groups of patients sion levels were statistically increased, whereas, CS1 and IL4I1 with acute myocardial infarction (AMI) and stable angina (SA), mRNAs were significantly reduced compared with the SA and as well as healthy volunteers, were recruited into the study control groups. There was no statistically significant difference (n=20 per group). Whole human genome microarray analysis in B cell-associated gene expression levels between patients was performed to examine the expression of B cell-associated with SA and the control group. The present study identified the genes among these three groups. The mRNA expression levels downregulation of genes associated with BCRs, B2 cells and of 60 genes associated with B cell activity and regulation were B cell regulators in patients with AMI, indicating a weakened measured using reverse transcription-quantitative polymerase T cell-B cell interaction and reduced B2 cell activation during chain reaction.