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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. -
Single Cell Transcriptome Atlas of Immune Cells in Human Small
bioRxiv preprint doi: https://doi.org/10.1101/721258; this version posted August 1, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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 Single cell transcriptome atlas of immune cells in human small 2 intestine and in celiac disease 3 4 Nader Atlasy1,a,4, Anna Bujko2,4, Peter B Brazda1,a, Eva Janssen-Megens1,a , Espen S. 5 Bækkevold2, Jørgen Jahnsen3, Frode L. Jahnsen2, Hendrik G. Stunnenberg1,a,* 6 7 8 1Department of Molecular Biology, Science Faculty, Radboud University, Nijmegen, The 9 Netherlands. 10 2 Department of Pathology, University of Oslo and Oslo University Hospital, Rikshospitalet, 11 Oslo, Norway 12 3 Department of Gastroenterology, Akershus University Hospital and University of Oslo, 13 Oslo, Norway. 14 15 acurrent address: Princess Maxima Centre for Pediatric Oncology, Heidelberglaan 25, 3584 16 CS Utrecht 17 18 19 4These authors contributed equally to this study 20 21 22 *Corresponding author: [email protected] 23 24 25 26 Celiac disease (CeD) is an autoimmune disorder in which ingestion of dietary gluten 27 triggers an immune reaction in the small intestine1,2. The CeD lesion is characterized by 28 crypt hyperplasia, villous atrophy and chronic inflammation with accumulation of 29 leukocytes both in the lamina propria (LP) and in the epithelium3, which eventually 30 leads to destruction of the intestinal epithelium1 and subsequent digestive complications 31 and higher risk of non-hodgkin lymphoma4. A lifetime gluten-free diet is currently the 32 only available treatment5. Gluten-specific LP CD4 T cells and cytotoxic intraepithelial 33 CD8+ T cells are thought to be central in disease pathology1,6-8, however, CeD is a 34 complex immune-mediated disorder and to date the findings are mostly based on 35 analysis of heterogeneous cell populations and on animal models. -
AML Serum Mir-150 Mir-155 Mir-1246 Prog
Supplementary Table S1. Summary of current studies on EVs as biomarkers Disease Source Cargo Role Reference AML serum TGF-β1, CD34, Prognostic [21] CD33, CD117 AML serum miR-150 Prognostic [23] miR-155 miR-1246 AML serum miR-125b Prognostic [24] AML serum miR-10b Prognostic [25] CLL serum CD19, CD37 Prognostic [27] CLL plasma S100-A9 protein Prognostic [29] CLL plasma CD52 Prognostic [30] CLL plasma miR-150, miR-155, Diagnostic [31] miR-223, miR-29 CD37, CD9, CD63 CLL plasma mc-COX2 Prognostic [33] MF plasma CD61, CD62P Prognostic [34] MM serum CD38, CD138, Prognostic [37] CD44, CD147 MM serum let-7b and miR-18a Prognostic [40] nHL /HL plasma CD20/CD30 Diagnostic/Prognostic [20] Lymphoma plasma CD20 Prognostic [43] HL plasma miR-23p Diagnostic [44] miR-127-3p miR-21-5p miR-155-5p let-7a-5p Lymphoma plasma BCL-6 Prognostic [45] c-myc 1 Supplementary Table S2. Summary of current studies on EVs: re-education of the bone marrow niche Disease EV Target Cargo Functional effects Reference origin/Source AML AML cells MSC/stromal / Downregulating of KITL, [52] cells CXCL12, IGF1; Reducing support to normal hemopoiesis AML AML cells Stromal cells miR-155 Reducing secretion of [54] miR-375 cytokines and growth factor; miR-150 Affecting retention and differentiation of HSC in the bone marrow AML/MDS AML/MDS cells MSC miR-7977 Reducing the hemopoiesis [55] supportive capacity CLL CLL cells MSC miR-202-3p Promoting migration, [32] survival and proliferation CLL Plasma Stromal cells / Production of VEGF, [26] promoting survival of B cells CLL CLL cells -
Immunocytochemical Analysis of Human Synovial Lining Cells: Phenotypic Relation to Other Marrow Ann Rheum Dis: First Published As 10.1136/Ard.50.5.311 on 1 May 1991
Annals ofthe Rheumatic Diseases 1991; 50: 311-315 31 Immunocytochemical analysis of human synovial lining cells: phenotypic relation to other marrow Ann Rheum Dis: first published as 10.1136/ard.50.5.311 on 1 May 1991. Downloaded from derived cells N A Athanasou, J Quinn Abstract system,20 21 synovial lining cell specific The antigenic phenotype of human synovial progenitors are produced in the marrow by a lining cells in normal and hyperplastic synovial lining cell lineage that diverges at some synovium intima was determined with a panel early stage from that of monocytes and tissue of monoclonal antibodies directed against macrophages. a large number of well defined myeloid To investigate the origin and development of (macrophage/granulocyte associated) antigens. synovial lining cells further we sought to define Synovial lining cells express numerous macro- the antigenic phenotype of human synovial phage associated antigens, including CD11b lining cells and subintimal macrophages in the (CR3), CD13, CD14, CD16 (FcRIII), CD18, synovial membrane. We used a large number of CD32 (FcRII), CD45 (leucocyte common monoclonal antibodies directed against defined antigen), CD54 (ICAM-1), CD64 (FcRI), myeloid (granulocyte/macrophage associated) CD68, and CD71 (transferrin receptor). antigens for the immunohistochemical staining Few synovial lining cells expressed CD11a of human synovial lining cells and subintimal (LFA-1) and CD11c (p150,95). Subintimal macrophages in the synovial membrane. The macrophages expressed all the macrophage pattern of antigen expression by these cells not associated antigens which were present on only has implications for synovial lining cell synovial lining cells and, in addition, expressed origin and development but also for function CD15a, CD25 (interleukin-2 receptor), CD34, and interaction of these cells with other inflam- and CD35 (C3b receptor), none of which was matory cells. -
Human Anogenital Monocyte-Derived Dendritic Cells and Langerin+Cdc2 Are Major HIV Target Cells
ARTICLE https://doi.org/10.1038/s41467-021-22375-x OPEN Human anogenital monocyte-derived dendritic cells and langerin+cDC2 are major HIV target cells Jake W. Rhodes 1,2,15, Rachel A. Botting 1,2,3,15, Kirstie M. Bertram1,2, Erica E. Vine 1,2, Hafsa Rana1,2, Heeva Baharlou1,2, Peter Vegh 3, Thomas R. O’Neil1,2, Anneliese S. Ashhurst4, James Fletcher3, Grant P. Parnell1,2, J. Dinny Graham1,2, Najla Nasr1,4, Jake J. K. Lim5, Laith Barnouti6, Peter Haertsch7, Martijn P. Gosselink 1,8, Angelina Di Re 1,8, Faizur Reza1,8, Grahame Ctercteko1,8, Gregory J. Jenkins9, Andrew J. Brooks10, Ellis Patrick 1,11, Scott N. Byrne1,4, Eric Hunter 12, Muzlifah A. Haniffa 3,13,14, ✉ Anthony L. Cunningham 1,2,16 & Andrew N. Harman 1,4,16 1234567890():,; Tissue mononuclear phagocytes (MNP) are specialised in pathogen detection and antigen presentation. As such they deliver HIV to its primary target cells; CD4 T cells. Most MNP HIV transmission studies have focused on epithelial MNPs. However, as mucosal trauma and inflammation are now known to be strongly associated with HIV transmission, here we examine the role of sub-epithelial MNPs which are present in a diverse array of subsets. We show that HIV can penetrate the epithelial surface to interact with sub-epithelial resident MNPs in anogenital explants and define the full array of subsets that are present in the human anogenital and colorectal tissues that HIV may encounter during sexual transmission. In doing so we identify two subsets that preferentially take up HIV, become infected and transmit the virus to CD4 T cells; CD14+CD1c+ monocyte-derived dendritic cells and langerin-expressing conventional dendritic cells 2 (cDC2). -
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. -
Manipulating Ig Production in Vivo Through CD180 Stimulation Jay
Manipulating Ig production in vivo through CD180 stimulation Jay Wesley Chaplin A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Washington 2012 Reading Committee: Edward A. Clark, Chair Keith B. Elkon Thomas R. Hawn Program authorized to offer degree: Molecular and Cellular Biology University of Washington Abstract Manipulating Ig production in vivo through CD180 stimulation Jay Wesley Chaplin Chair of the Supervisory Committee: Professor Edward A. Clark Department of Immunology CD180 is homologous to TLR4 and regulates TLR4 signaling, yet its function is unclear. This thesis reports that injection of anti-CD180 mAb into mice induced rapid polyclonal IgG, with up to 50-fold increases even in immunodeficient mice. Anti-CD180 rapidly increased transitional B cell number in contrast to anti-CD40 which induced primarily FO B cell and myeloid expansion. Combinations of anti-CD180 with MyD88- dependent TLR ligands biased B cell fate toward synergistic proliferation. Thus, CD180 stimulation induces B cell proliferation and differentiation, causing rapid increases in IgG, and integrates MyD88-dependent TLR signals to regulate proliferation and differentiation. This thesis also reports that targeting Ag to CD180 rapidly induces Ag-specific IgG. IgG responses were robust, diverse, and partially T cell-independent, as both CD40- and T cell deficient mice responded after CD180 targeting. IgG production occurred with either hapten- or OVA-conjugated anti-CD180, and was specific for Ag coupled to anti- CD180. Simultaneous BCR and CD180 stimulation enhanced activation compared to either stimulus alone. Adoptive transfer experiments demonstrated that CD180 expression was required on B cells but not on DCs for Ab induction. -
Dux4r, Znf384r and PAX5-P80R Mutated B-Cell Precursor Acute
Acute Lymphoblastic Leukemia SUPPLEMENTARY APPENDIX DUX4r , ZNF384r and PAX5 -P80R mutated B-cell precursor acute lymphoblastic leukemia frequently undergo monocytic switch Michaela Novakova, 1,2,3* Marketa Zaliova, 1,2,3* Karel Fiser, 1,2* Barbora Vakrmanova, 1,2 Lucie Slamova, 1,2,3 Alena Musilova, 1,2 Monika Brüggemann, 4 Matthias Ritgen, 4 Eva Fronkova, 1,2,3 Tomas Kalina, 1,2,3 Jan Stary, 2,3 Lucie Winkowska, 1,2 Peter Svec, 5 Alexandra Kolenova, 5 Jan Stuchly, 1,2 Jan Zuna, 1,2,3 Jan Trka, 1,2,3 Ondrej Hrusak 1,2,3# and Ester Mejstrikova 1,2,3# 1CLIP - Childhood Leukemia Investigation Praguerague, Czech Republic; 2Department of Paediatric Hematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic; 3University Hospital Motol, Prague, Czech Republic; 4Department of In - ternal Medicine II, University Hospital Schleswig-Holstein, Kiel, Germany and 5Comenius University, National Institute of Children’s Dis - eases, Bratislava, Slovakia *MN, MZ and KF contributed equally as co-first authors. #OH and EM contributed equally as co-senior authors. ©2021 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2020.250423 Received: February 18, 2020. Accepted: June 25, 2020. Pre-published: July 9, 2020. Correspondence: ESTER MEJSTRIKOVA - [email protected] Table S1. S1a. List of antibodies used for diagnostic immunophenotyping. Antibody Fluorochrome Clone Catalogue number Manufacturer CD2 PE 39C1.5 A07744 Beckman Coulter CD3 FITC UCHT1 1F-202-T100 Exbio CD4 PE-Cy7 -
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, -
(RP105) Activates B Cells to Rapidly Produce Polyclonal Ig Via a T Cell and Myd88-Independent Pathway
Anti-CD180 (RP105) Activates B Cells To Rapidly Produce Polyclonal Ig via a T Cell and MyD88-Independent Pathway This information is current as Jay W. Chaplin, Shinji Kasahara, Edward A. Clark and of October 6, 2021. Jeffrey A. Ledbetter J Immunol 2011; 187:4199-4209; Prepublished online 14 September 2011; doi: 10.4049/jimmunol.1100198 http://www.jimmunol.org/content/187/8/4199 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2011/09/14/jimmunol.110019 Material 8.DC1 http://www.jimmunol.org/ References This article cites 33 articles, 16 of which you can access for free at: http://www.jimmunol.org/content/187/8/4199.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists by guest on October 6, 2021 • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2011 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Anti-CD180 (RP105) Activates B Cells To Rapidly Produce Polyclonal Ig via a T Cell and MyD88-Independent Pathway Jay W. -
Supplemental Figures 032819.Pptx
Summary of Supplemental Figures and Tables 1) Supplemental Figure 1. Frequency of phenotypically defined endothelial cells is unchanged in aged mice. 2) Supplemental Figure 2. Aged LSKs have increased myeloid/megakaryocytic bias 3) Supplemental Figure 3. RBCs are decreased and Platelets are increased in peripheral blood of aged mice 4) Supplemental Figure 4. Aged BMME cultures have increased MSC populations. 5) Supplemental Figure 5. Aged BMME cells increase young LSK cell engraftment following competitive transplantation 6) Supplemental Figure 6. Flow cytometry gating strategy for sorting of young and aged murine Mφs 7) Supplemental Figure 7. Flow cytometry gating strategy for sorting of human Mφs 8) Supplemental Figure 8. Axl-/- LT-HSCs have increased cell engraftment following competitive transplantation 9) Supplemental Figure 9. Schematic representation of mechanisms by which age-dependent defects in marrow Mφs induce megakaryocytic bias in HSC. 10) Table S1. List of antibodies used in the flow cytometric and cell sorting analyses described 11) Table S2. List of cell populations analyzed and their respective immunophenotypes 12) Table S3. List of top GO-BP categories enriched for significantly upregulated genes from murine aged vs young marrow macrophages 13) Table S4. List of significant KEGG Pathways enriched for significantly upregulated genes from murine aged vs young marrow macrophages 1 A Sinusoidal Arteriolar BV786 – CD31 Sca1 – PE-Cy7 B C Arteriolar EC Sinusoidal ECs (Lin-, CD45-, CD31+ Sca1+) (CD45-Lin-CD31+Sca1-) 0.08 0.15 0.06 0.10 0.04 0.05 0.02 PercentLiveof Cells PercentLiveof Cells 0.00 0.00 Young Aged Young Aged Supplemental Figure 1.