Discovery, Function, and Therapeutic Targeting of Siglec-8
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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. -
Mast Cells Promote Seasonal White Adipose Beiging in Humans
Diabetes Volume 66, May 2017 1237 Mast Cells Promote Seasonal White Adipose Beiging in Humans Brian S. Finlin,1 Beibei Zhu,1 Amy L. Confides,2 Philip M. Westgate,3 Brianna D. Harfmann,1 Esther E. Dupont-Versteegden,2 and Philip A. Kern1 Diabetes 2017;66:1237–1246 | DOI: 10.2337/db16-1057 Human subcutaneous (SC) white adipose tissue (WAT) localized to the neck and thorax of humans (4–8), and in a increases the expression of beige adipocyte genes in the process known as beiging (9), UCP1-positive adipocytes winter. Studies in rodents suggest that a number of form in subcutaneous (SC) white adipose tissue (WAT) immune mediators are important in the beiging response. (10). Beige adipocytes have unique developmental origins, We studied the seasonal beiging response in SC WAT gene signatures, and functional properties, including being from lean humans. We measured the gene expression of highly inducible to increase UCP1 in response to catechol- various immune cell markers and performed multivariate amines (9,11–13). Although questions exist about whether analysis of the gene expression data to identify genes beige fat can make a meaningful contribution to energy OBESITY STUDIES that predict UCP1. Interleukin (IL)-4 and, unexpectedly, expenditure in humans (reviewed in Porter et al. [14]), the mast cell marker CPA3 predicted UCP1 gene expres- the induction of beige fat in rodent models is associated sion. Therefore, we investigated the effects of mast with increased energy expenditure and improved glucose cells on UCP1 induction by adipocytes. TIB64 mast cells homeostasis (13). responded to cold by releasing histamine and IL-4, and this medium stimulated UCP1 expression and lipolysis by Activation of the sympathetic nervous system by cold 3T3-L1 adipocytes. -
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. -
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. -
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, -
AK002), an Anti-Siglec-8 Antibody, Depletes Tissue Eosinophils and Improves Dysphagia Symptoms in Patients with Eosinophilic Esophagitis (ENIGMA Study; NCT03496571
Lirentelimab (AK002), an Anti-Siglec-8 Antibody, Depletes Tissue Eosinophils and Improves Dysphagia Symptoms in Patients with Eosinophilic Esophagitis (ENIGMA Study; NCT03496571) Ikuo Hirano1, Kathryn A. Peterson2, Joseph A. Murray3, Evan S. Dellon4, Gary W. Falk5, Nirmala Gonsalves1, Mirna Chehade6, John Leung7, Robert M. Genta8, Paneez Khoury9, Adam C. Bledsoe3, Camilla Shaw10, Bhupinder Singh10, Alan T. Chang10, Amol P. Kamboj10, Henrik S. Rasmussen10, Marc E. Rothenberg11 1Northwestern University, Chicago, IL; 2University of Utah, Salt Lake City, UT; 3Mayo Clinic Rochester, Rochester, MN; 4University of North Carolina, Chapel Hill, NC; 5University of Pennsylvania, Philadelphia, PA; 6Icahn School of Medicine at Mount Sinai, New York, NY; 7Tufts University, Boston, MA; 8Baylor College of Medicine, Houston, TX; 9NIAID/NIH, Bethesda, MD; 10Allakos, Inc., Redwood City, CA.; 11Cincinnati Children’s Hospital, Cincinnati, OH; AAAAI 2020 Philadelphia, PA March 13th – 16th 2020 Disclosures • Dr. Ikuo Hirano is a principal investigator in ENIGMA • Lirentelimab (AK002) is an investigational drug candidate and is not FDA/EMA approved Eosinophilic Gastrointestinal Diseases (EGIDs) Eosinophilic Esophagitis (EoE) Chronic Eosinophilic Inflammation Eosinophilic Gastritis (EG) of the Stomach, Small Intestine, or Esophagus ESOPHAGUS • Eosinophils and mast cells are important STOMACH drivers of disease • Symptoms: abdominal pain, nausea, early satiety, loss of appetite, bloating, abdominal DUODENUM/ cramping, vomiting, diarrhea, and dysphagia SMALL INTESTINE -
Review Sialic Acid-Specific Lectins: Occurrence, Specificity and Function
Cell. Mol. Life Sci. 63 (2006) 1331–1354 1420-682X/06/121331-24 DOI 10.1007/s00018-005-5589-y Cellular and Molecular Life Sciences © Birkhäuser Verlag, Basel, 2006 Review Sialic acid-specific lectins: occurrence, specificity and function F. Lehmanna, *, E. Tiralongob and J. Tiralongoa a Institute for Glycomics, Griffith University (Gold Coast Campus), PMB 50 Gold Coast Mail Centre Australia 9726 (Australia), Fax: +61 7 5552 8098; e-mail: [email protected] b School of Pharmacy, Griffith University (Gold Coast Campus), PMB 50 Gold Coast Mail Centre Australia 9726 (Australia) Received 13 December 2005; received after revision 9 February 2006; accepted 15 February 2006 Online First 5 April 2006 Abstract. Sialic acids consist of a family of acidic nine- through specific interactions with lectins, a family of carbon sugars that are typically located at the terminal po- proteins that recognise and bind sugars. This review will sitions of a variety of glycoconjugates. Naturally occur- present a detailed overview of our current knowledge re- ring sialic acids show an immense diversity of structure, garding the occurrence, specificity and function of sialic and this reflects their involvement in a variety of biologi- acid-specific lectins, particularly those that occur in vi- cally important processes. One such process involves the ruses, bacteria and non-vertebrate eukaryotes. direct participation of sialic acids in recognition events Keywords. Sialic acid, lectin, sialoglycoconjugate, sialic acid-specific lectin, adhesin, infectious disease, immunology. Introduction [1, 2]. The largest structural variations of naturally occurring Sia are at carbon 5, which can be substituted with either an Sialic acids (Sia) are a family of nine-carbon a-keto acids acetamido, hydroxyacetamido or hydroxyl moiety to form (Fig. -
Human Lectins, Their Carbohydrate Affinities and Where to Find Them
biomolecules Review Human Lectins, Their Carbohydrate Affinities and Where to Review HumanFind Them Lectins, Their Carbohydrate Affinities and Where to FindCláudia ThemD. Raposo 1,*, André B. Canelas 2 and M. Teresa Barros 1 1, 2 1 Cláudia D. Raposo * , Andr1 é LAQVB. Canelas‐Requimte,and Department M. Teresa of Chemistry, Barros NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829‐516 Caparica, Portugal; [email protected] 12 GlanbiaLAQV-Requimte,‐AgriChemWhey, Department Lisheen of Chemistry, Mine, Killoran, NOVA Moyne, School E41 of ScienceR622 Co. and Tipperary, Technology, Ireland; canelas‐ [email protected] NOVA de Lisboa, 2829-516 Caparica, Portugal; [email protected] 2* Correspondence:Glanbia-AgriChemWhey, [email protected]; Lisheen Mine, Tel.: Killoran, +351‐212948550 Moyne, E41 R622 Tipperary, Ireland; [email protected] * Correspondence: [email protected]; Tel.: +351-212948550 Abstract: Lectins are a class of proteins responsible for several biological roles such as cell‐cell in‐ Abstract:teractions,Lectins signaling are pathways, a class of and proteins several responsible innate immune for several responses biological against roles pathogens. such as Since cell-cell lec‐ interactions,tins are able signalingto bind to pathways, carbohydrates, and several they can innate be a immuneviable target responses for targeted against drug pathogens. delivery Since sys‐ lectinstems. In are fact, able several to bind lectins to carbohydrates, were approved they by canFood be and a viable Drug targetAdministration for targeted for drugthat purpose. delivery systems.Information In fact, about several specific lectins carbohydrate were approved recognition by Food by andlectin Drug receptors Administration was gathered for that herein, purpose. plus Informationthe specific organs about specific where those carbohydrate lectins can recognition be found by within lectin the receptors human was body. -
CD33-Specific Chimeric Antigen Receptor T Cells Exhibit Potent Preclinical Activity Against Human Acute Myeloid Leukemia
Leukemia (2015) 29, 1637–1647 © 2015 Macmillan Publishers Limited All rights reserved 0887-6924/15 www.nature.com/leu ORIGINAL ARTICLE CD33-specific chimeric antigen receptor T cells exhibit potent preclinical activity against human acute myeloid leukemia SS Kenderian1,2,5, M Ruella1,5, O Shestova1, M Klichinsky1, V Aikawa3, JJD Morrissette3, J Scholler1, D Song1, DL Porter1,4, M Carroll4, CH June1 and S Gill1,4 Patients with chemo-refractory acute myeloid leukemia (AML) have a dismal prognosis. Chimeric antigen receptor T (CART) cell therapy has produced exciting results in CD19+ malignancies and may overcome many of the limitations of conventional leukemia therapies. We developed CART cells to target CD33 (CART33) using the anti-CD33 single chain variable fragment used in gemtuzumab ozogamicin (clone My96) and tested the activity and toxicity of these cells. CART33 exhibited significant effector functions in vitro and resulted in eradication of leukemia and prolonged survival in AML xenografts. CART33 also resulted in human lineage cytopenias and reduction of myeloid progenitors in xenograft models of hematopoietic toxicity, suggesting that permanently expressed CD33-specific CART cells would have unacceptable toxicity. To enhance the viability of CART33 as an option for AML, we designed a transiently expressed mRNA anti-CD33 CAR. Gene transfer was carried out by electroporation into T cells and resulted in high-level expression with potent but self-limited activity against AML. Thus our preclinical studies show potent activity of CART33 and indicate that transient expression of anti-CD33 CAR by RNA modification could be used in patients to avoid long-term myelosuppression. CART33 therapy could be used alone or as part of a preparative regimen prior to allogeneic transplantation in refractory AML. -
Myelin-Associated Glycoprotein Gene
CHAPTER 17 Myelin-Associated Glycoprotein Gene John Georgiou, Michael B. Tropak, and John C. Roder MAG INTRODUCTION Specialized glial cells, oligodendrocytes in the central nervous system (CNS), and Schwann cells in the peripheral nervous system (PNS) elaborate cytoplasmic wrappings known as myelin around axons. The myelination process requires a complex series of interactions between the glial cells and axons, which remain poorly understood. Myelin functions to insulate neurons and facilitates the rapid signal conduction required in organisms with complex nervous systems. Myelin-associated glycoprotein (MAG) is a relatively minor constituent of both CNS and PNS myelin that has been implicated in the formation and maintenance of myelin. However, it is also a cell recognition molecule involved in neuron- glial interactions, including regulation of axonal outgrowth and nerve regeneration. Discovery of Myelin-Associated Glycoprotein, MAG Prior to the discovery of MAG in 1973, the major proteins in compact myelin such as myelin basic protein (MBP) and proteolipid protein (PLP) were known. During the early 1970s it became clear that proteins on the surface which mediate adhesion are generally glycosylated. Consequently, Quarles and colleagues used radiolabeled fucose to identify MAG (Quarles et al., 1973), a myelin glycoprotein that might mediate adhesive inter- actions between glial and neuronal cells that are important for the formation of the myelin sheath. MAG was cloned in 1987 (Arquint et al., 1987), and DNA sequence analysis revealed that the MAG cDNA that was isolated was derived from the same mRNA as clone p1B236, a randomly selected, brain-speciWc, partial cDNA isolated previously in 1983 (SutcliVe et al., 1983). -
Multiomics of Azacitidine-Treated AML Cells Reveals Variable And
Multiomics of azacitidine-treated AML cells reveals variable and convergent targets that remodel the cell-surface proteome Kevin K. Leunga, Aaron Nguyenb, Tao Shic, Lin Tangc, Xiaochun Nid, Laure Escoubetc, Kyle J. MacBethb, Jorge DiMartinob, and James A. Wellsa,1 aDepartment of Pharmaceutical Chemistry, University of California, San Francisco, CA 94143; bEpigenetics Thematic Center of Excellence, Celgene Corporation, San Francisco, CA 94158; cDepartment of Informatics and Predictive Sciences, Celgene Corporation, San Diego, CA 92121; and dDepartment of Informatics and Predictive Sciences, Celgene Corporation, Cambridge, MA 02140 Contributed by James A. Wells, November 19, 2018 (sent for review August 23, 2018; reviewed by Rebekah Gundry, Neil L. Kelleher, and Bernd Wollscheid) Myelodysplastic syndromes (MDS) and acute myeloid leukemia of DNA methyltransferases, leading to loss of methylation in (AML) are diseases of abnormal hematopoietic differentiation newly synthesized DNA (10, 11). It was recently shown that AZA with aberrant epigenetic alterations. Azacitidine (AZA) is a DNA treatment of cervical (12, 13) and colorectal (14) cancer cells methyltransferase inhibitor widely used to treat MDS and AML, can induce interferon responses through reactivation of endoge- yet the impact of AZA on the cell-surface proteome has not been nous retroviruses. This phenomenon, termed viral mimicry, is defined. To identify potential therapeutic targets for use in com- thought to induce antitumor effects by activating and engaging bination with AZA in AML patients, we investigated the effects the immune system. of AZA treatment on four AML cell lines representing different Although AZA treatment has demonstrated clinical benefit in stages of differentiation. The effect of AZA treatment on these AML patients, additional therapeutic options are needed (8, 9).