Handbook of Glycosyltransferases and Related Genes
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Familial Nephropathy and Multiple Exostoses with Exostosin-1 (EXT1) Gene Mutation
PATHOPHYSIOLOGY of the RENAL BIOPSY www.jasn.org Familial Nephropathy and Multiple Exostoses With Exostosin-1 (EXT1) Gene Mutation Ian S. D. Roberts* and Jonathan M. Gleadle† *Department of Cellular Pathology, John Radcliffe Hospital, Headley Way, Headington, Oxford, United Kingdom; and †Renal Unit, Level 6, Flinders Medical Centre, Bedford Park, South Australia, Australia ABSTRACT Glomerular deposition of fibrillar collagen is a characteristic finding of genetically mained in remission with trace protein- distinct conditions, including nail-patella syndrome and collagen type III glomeru- uria until cyclosporine was stopped 3.5 lopathy. A case of familial nephropathy in which steroid-sensitive nephrotic syn- yr later. Six months after this, she suf- drome and glomerular deposits of fibrillar collagen are associated with multiple fered another relapse of nephrotic exostoses due to mutation of the EXT1 gene is described. This gene encodes a syndrome that responded to 60 mg pred- glycosyltransferase required for synthesis of heparan sulfate glycosaminoglycans. nisolone and reintroduction of cyclo- There is deficiency of heparan sulfate and perlecan, together with accumulation of sporine. After a further relapse 18 mo collagens, in the matrix of EXT1-associated osteochondromas. Similar glomerular later and because of the development of basement membrane abnormalities could offer an explanation for both the renal adverse corticosteroid effects, she was ultrastructural changes and steroid-sensitive nephrotic syndrome. treated with a 2-mo course of cyclophos- phamide (2.5 mg/kg, orally). Ten years J Am Soc Nephrol 19: 450–453, 2008. doi: 10.1681/ASN.2007080842 after her initial presentation, she remains in full remission and off steroids. Renal function has remained normal through- A 37-yr-old woman presented with the history of renal disease and hearing im- out with a current serum creatinine of nephrotic syndrome. -
CRISPR Screening of Porcine Sgrna Library Identifies Host Factors
ARTICLE https://doi.org/10.1038/s41467-020-18936-1 OPEN CRISPR screening of porcine sgRNA library identifies host factors associated with Japanese encephalitis virus replication Changzhi Zhao1,5, Hailong Liu1,5, Tianhe Xiao1,5, Zichang Wang1, Xiongwei Nie1, Xinyun Li1,2, Ping Qian2,3, Liuxing Qin3, Xiaosong Han1, Jinfu Zhang1, Jinxue Ruan1, Mengjin Zhu1,2, Yi-Liang Miao 1,2, Bo Zuo1,2, ✉ ✉ Kui Yang4, Shengsong Xie 1,2 & Shuhong Zhao 1,2 1234567890():,; Japanese encephalitis virus (JEV) is a mosquito-borne zoonotic flavivirus that causes ence- phalitis and reproductive disorders in mammalian species. However, the host factors critical for its entry, replication, and assembly are poorly understood. Here, we design a porcine genome-scale CRISPR/Cas9 knockout (PigGeCKO) library containing 85,674 single guide RNAs targeting 17,743 protein-coding genes, 11,053 long ncRNAs, and 551 microRNAs. Subsequently, we use the PigGeCKO library to identify key host factors facilitating JEV infection in porcine cells. Several previously unreported genes required for JEV infection are highly enriched post-JEV selection. We conduct follow-up studies to verify the dependency of JEV on these genes, and identify functional contributions for six of the many candidate JEV- related host genes, including EMC3 and CALR. Additionally, we identify that four genes associated with heparan sulfate proteoglycans (HSPGs) metabolism, specifically those responsible for HSPGs sulfurylation, facilitate JEV entry into porcine cells. Thus, beyond our development of the largest CRISPR-based functional genomic screening platform for pig research to date, this study identifies multiple potentially vulnerable targets for the devel- opment of medical and breeding technologies to treat and prevent diseases caused by JEV. -
List of Genes Used in Cell Type Enrichment Analysis
List of genes used in cell type enrichment analysis Metagene Cell type Immunity ADAM28 Activated B cell Adaptive CD180 Activated B cell Adaptive CD79B Activated B cell Adaptive BLK Activated B cell Adaptive CD19 Activated B cell Adaptive MS4A1 Activated B cell Adaptive TNFRSF17 Activated B cell Adaptive IGHM Activated B cell Adaptive GNG7 Activated B cell Adaptive MICAL3 Activated B cell Adaptive SPIB Activated B cell Adaptive HLA-DOB Activated B cell Adaptive IGKC Activated B cell Adaptive PNOC Activated B cell Adaptive FCRL2 Activated B cell Adaptive BACH2 Activated B cell Adaptive CR2 Activated B cell Adaptive TCL1A Activated B cell Adaptive AKNA Activated B cell Adaptive ARHGAP25 Activated B cell Adaptive CCL21 Activated B cell Adaptive CD27 Activated B cell Adaptive CD38 Activated B cell Adaptive CLEC17A Activated B cell Adaptive CLEC9A Activated B cell Adaptive CLECL1 Activated B cell Adaptive AIM2 Activated CD4 T cell Adaptive BIRC3 Activated CD4 T cell Adaptive BRIP1 Activated CD4 T cell Adaptive CCL20 Activated CD4 T cell Adaptive CCL4 Activated CD4 T cell Adaptive CCL5 Activated CD4 T cell Adaptive CCNB1 Activated CD4 T cell Adaptive CCR7 Activated CD4 T cell Adaptive DUSP2 Activated CD4 T cell Adaptive ESCO2 Activated CD4 T cell Adaptive ETS1 Activated CD4 T cell Adaptive EXO1 Activated CD4 T cell Adaptive EXOC6 Activated CD4 T cell Adaptive IARS Activated CD4 T cell Adaptive ITK Activated CD4 T cell Adaptive KIF11 Activated CD4 T cell Adaptive KNTC1 Activated CD4 T cell Adaptive NUF2 Activated CD4 T cell Adaptive PRC1 Activated -
Markers of T Cell Senescence in Humans
International Journal of Molecular Sciences Review Markers of T Cell Senescence in Humans Weili Xu 1,2 and Anis Larbi 1,2,3,4,5,* 1 Biology of Aging Program and Immunomonitoring Platform, Singapore Immunology Network (SIgN), Agency for Science Technology and Research (A*STAR), Immunos Building, Biopolis, Singapore 138648, Singapore; [email protected] 2 School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore 3 Department of Microbiology, National University of Singapore, Singapore 117597, Singapore 4 Department of Geriatrics, Faculty of Medicine, University of Sherbrooke, Sherbrooke, QC J1K 2R1, Canada 5 Faculty of Sciences, University ElManar, Tunis 1068, Tunisia * Correspondence: [email protected]; Tel.: +65-6407-0412 Received: 31 May 2017; Accepted: 26 July 2017; Published: 10 August 2017 Abstract: Many countries are facing the aging of their population, and many more will face a similar obstacle in the near future, which could be a burden to many healthcare systems. Increased susceptibility to infections, cardiovascular and neurodegenerative disease, cancer as well as reduced efficacy of vaccination are important matters for researchers in the field of aging. As older adults show higher prevalence for a variety of diseases, this also implies higher risk of complications, including nosocomial infections, slower recovery and sequels that may reduce the autonomy and overall quality of life of older adults. The age-related effects on the immune system termed as “immunosenescence” can be exemplified by the reported hypo-responsiveness to influenza vaccination of the elderly. T cells, which belong to the adaptive arm of the immune system, have been extensively studied and the knowledge gathered enables a better understanding of how the immune system may be affected after acute/chronic infections and how this matters in the long run. -
Human Β‑1,3‑Glucuronyltransferase 1/B3GAT1 Antibody Monoclonal Mouse Igg2a Clone # 1002707 Catalog Number: MAB8560
Human β‑1,3‑Glucuronyltransferase 1/B3GAT1 Antibody Monoclonal Mouse IgG2A Clone # 1002707 Catalog Number: MAB8560 DESCRIPTION Species Reactivity Human Specificity Detects human β-1,3-Glucuronyltransferase 1/B3GAT1 in direct ELISAs. Source Monoclonal Mouse IgG2A Clone # 1002707 Purification Protein A or G purified from hybridoma culture supernatant Immunogen Chinese Hamster Ovary cell line, CHO-derived human β‑1,3‑Glucuronyltransferase 1/B3GAT1 His25-Ile334 Accession # Q9P2W7 Formulation Lyophilized from a 0.2 μm filtered solution in PBS with Trehalose. See Certificate of Analysis for details. *Small pack size (-SP) is supplied either lyophilized or as a 0.2 μm filtered solution in PBS. APPLICATIONS Please Note: Optimal dilutions should be determined by each laboratory for each application. General Protocols are available in the Technical Information section on our website. Recommended Sample Concentration Immunohistochemistry 5-25 µg/mL See Below DATA Immunohistochemistry β-1,3-Glucuronyltransferase 1/B3GAT1 in Human Brain. β-1,3-Glucuronyltransferase 1/B3GAT1 was detected in immersion fixed paraffin-embedded sections of human brain (cortex) using Mouse Anti-Human β-1,3- Glucuronyltransferase 1/B3GAT1 Monoclonal Antibody (Catalog # MAB8560) at 5 µg/mL for 1 hour at room temperature followed by incubation with the Anti-Mouse IgG VisUCyte™ HRP Polymer Antibody (Catalog # VC001). Before incubation with the primary antibody, tissue was subjected to heat-induced epitope retrieval using Antigen Retrieval Reagent-Basic (Catalog # CTS013). Tissue was stained using DAB (brown) and counterstained with hematoxylin (blue). Specific staining was localized to cytoplasm in neurons. View our protocol for IHC Staining with VisUCyte HRP Polymer Detection Reagents. PREPARATION AND STORAGE Reconstitution Reconstitute at 0.5 mg/mL in sterile PBS. -
Selectin Ligand Sialyl-Lewis X Antigen Drives Metastasis of Hormone-Dependent Breast Cancers
Published OnlineFirst October 24, 2011; DOI: 10.1158/0008-5472.CAN-11-1139 Cancer Tumor and Stem Cell Biology Research Selectin Ligand Sialyl-Lewis x Antigen Drives Metastasis of Hormone-Dependent Breast Cancers Sylvain Julien1, Aleksandar Ivetic2, Anita Grigoriadis3, Ding QiZe1, Brian Burford1, Daisy Sproviero1, Gianfranco Picco1, Cheryl Gillett4, Suzanne L. Papp5, Lana Schaffer5, Andrew Tutt3, Joyce Taylor-Papadimitriou1, Sarah E. Pinder4, and Joy M. Burchell1 Abstract The glycome acts as an essential interface between cells and the surrounding microenvironment. However, changes in glycosylation occur in nearly all breast cancers, which can alter this interaction. Here, we report that profiles of glycosylation vary between ER-positive and ER-negative breast cancers. We found that genes involved in the synthesis of sialyl-Lewis x (sLex; FUT3, FUT4, and ST3GAL6) are significantly increased in estrogen receptor alpha-negative (ER-negative) tumors compared with ER-positive ones. SLex expression had no influence on the survival of patients whether they had ER-negative or ER-positive tumors. However, high expression of sLex in ER- positive tumors was correlated with metastasis to the bone where sLex receptor E-selectin is constitutively expressed. The ER-positive ZR-75-1 and the ER-negative BT20 cell lines both express sLex but only ZR-75-1 cells could adhere to activated endothelial cells under dynamic flow conditions in a sLex and E-selectin–dependent manner. Moreover, L/P-selectins bound strongly to ER-negative MDA-MB-231 and BT-20 cell lines in a heparan sulfate (HS)–dependent manner that was independent of sLex expression. Expression of glycosylation genes involved in heparan biosynthesis (EXT1 and HS3ST1) was increased in ER-negative tumors. -
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. -
A Proteomic Approach to Uncover Neuroprotective Mechanisms of Oleocanthal Against Oxidative Stress
International Journal of Molecular Sciences Article A Proteomic Approach to Uncover Neuroprotective Mechanisms of Oleocanthal against Oxidative Stress Laura Giusti 1,†, Cristina Angeloni 2,†, Maria Cristina Barbalace 3, Serena Lacerenza 4, Federica Ciregia 5, Maurizio Ronci 6 ID , Andrea Urbani 7, Clementina Manera 4, Maria Digiacomo 4 ID , Marco Macchia 4, Maria Rosa Mazzoni 4, Antonio Lucacchini 1 ID and Silvana Hrelia 3,* ID 1 Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy; [email protected] (L.G.); [email protected] (A.L.) 2 School of Pharmacy, University of Camerino, 62032 Camerino, Italy; [email protected] 3 Department for Life Quality Studies, Alma Mater Studiorum, University of Bologna, 47921 Rimini, Italy; [email protected] 4 Department of Pharmacy, University of Pisa, 56126 Pisa, Italy; [email protected] (S.L.); [email protected] (C.M.); [email protected] (M.D.); [email protected] (M.M.); [email protected] (M.R.M.) 5 Department of Rheumatology, GIGA Research, Centre Hospitalier Universitaire (CHU) de Liège, University of Liège, 4000 Liège, Belgium; [email protected] 6 Department of Medical, Oral and Biotechnological Sciences, University G. d’Annunzio of Chieti-Pescara, 65127 Pescara, Italy; [email protected] 7 Institute of Biochemistry and Clinical Biochemistry, Catholic University, 00198 Rome, Italy; [email protected] * Correspondence: [email protected]; Tel.: +39-051-209-1235 † These authors contributed equally to this work. Received: 3 July 2018; Accepted: 1 August 2018; Published: 8 August 2018 Abstract: Neurodegenerative diseases represent a heterogeneous group of disorders that share common features like abnormal protein aggregation, perturbed Ca2+ homeostasis, excitotoxicity, impairment of mitochondrial functions, apoptosis, inflammation, and oxidative stress. -
Promiscuity and Specificity of Eukaryotic Glycosyltransferases
Biochemical Society Transactions (2020) 48 891–900 https://doi.org/10.1042/BST20190651 Review Article Promiscuity and specificity of eukaryotic glycosyltransferases Ansuman Biswas and Mukund Thattai Simons Centre for the Study of Living Machines, National Centre for Biological Sciences, TIFR, Bangalore, India Correspondence: Mukund Thattai ([email protected]) Glycosyltransferases are a large family of enzymes responsible for covalently linking sugar monosaccharides to a variety of organic substrates. These enzymes drive the synthesis of complex oligosaccharides known as glycans, which play key roles in inter-cellular interac- tions across all the kingdoms of life; they also catalyze sugar attachment during the syn- thesis of small-molecule metabolites such as plant flavonoids. A given glycosyltransferase enzyme is typically responsible for attaching a specific donor monosaccharide, via a spe- cific glycosidic linkage, to a specific moiety on the acceptor substrate. However these enzymes are often promiscuous, able catalyze linkages between a variety of donors and acceptors. In this review we discuss distinct classes of glycosyltransferase promiscuity, each illustrated by enzymatic examples from small-molecule or glycan synthesis. We high- light the physical causes of promiscuity, and its biochemical consequences. Structural studies of glycosyltransferases involved in glycan synthesis show that they make specific contacts with ‘recognition motifs’ that are much smaller than the full oligosaccharide sub- strate. There is a wide range in the sizes of glycosyltransferase recognition motifs: highly promiscuous enzymes recognize monosaccharide or disaccharide motifs across multiple oligosaccharides, while highly specific enzymes recognize large, complex motifs found on few oligosaccharides. In eukaryotes, the localization of glycosyltransferases within compartments of the Golgi apparatus may play a role in mitigating the glycan variability caused by enzyme promiscuity. -
Congenital Disorders of Glycosylation from a Neurological Perspective
brain sciences Review Congenital Disorders of Glycosylation from a Neurological Perspective Justyna Paprocka 1,* , Aleksandra Jezela-Stanek 2 , Anna Tylki-Szyma´nska 3 and Stephanie Grunewald 4 1 Department of Pediatric Neurology, Faculty of Medical Science in Katowice, Medical University of Silesia, 40-752 Katowice, Poland 2 Department of Genetics and Clinical Immunology, National Institute of Tuberculosis and Lung Diseases, 01-138 Warsaw, Poland; [email protected] 3 Department of Pediatrics, Nutrition and Metabolic Diseases, The Children’s Memorial Health Institute, W 04-730 Warsaw, Poland; [email protected] 4 NIHR Biomedical Research Center (BRC), Metabolic Unit, Great Ormond Street Hospital and Institute of Child Health, University College London, London SE1 9RT, UK; [email protected] * Correspondence: [email protected]; Tel.: +48-606-415-888 Abstract: Most plasma proteins, cell membrane proteins and other proteins are glycoproteins with sugar chains attached to the polypeptide-glycans. Glycosylation is the main element of the post- translational transformation of most human proteins. Since glycosylation processes are necessary for many different biological processes, patients present a diverse spectrum of phenotypes and severity of symptoms. The most frequently observed neurological symptoms in congenital disorders of glycosylation (CDG) are: epilepsy, intellectual disability, myopathies, neuropathies and stroke-like episodes. Epilepsy is seen in many CDG subtypes and particularly present in the case of mutations -
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 -
Pancancer Progression Human Vjune2017
Gene Symbol Accession Alias/Prev Symbol Official Full Name AAMP NM_001087.3 - angio-associated, migratory cell protein ABI3BP NM_015429.3 NESHBP|TARSH ABI family, member 3 (NESH) binding protein ACHE NM_000665.3 ACEE|ARACHE|N-ACHE|YT acetylcholinesterase ACTG2 NM_001615.3 ACT|ACTA3|ACTE|ACTL3|ACTSG actin, gamma 2, smooth muscle, enteric ACVR1 NM_001105.2 ACTRI|ACVR1A|ACVRLK2|ALK2|FOP|SKR1|TSRI activin A receptor, type I ACVR1C NM_145259.2 ACVRLK7|ALK7 activin A receptor, type IC ACVRL1 NM_000020.1 ACVRLK1|ALK-1|ALK1|HHT|HHT2|ORW2|SKR3|TSR-I activin A receptor type II-like 1 ADAM15 NM_207195.1 MDC15 ADAM metallopeptidase domain 15 ADAM17 NM_003183.4 ADAM18|CD156B|CSVP|NISBD|TACE ADAM metallopeptidase domain 17 ADAM28 NM_014265.4 ADAM 28|ADAM23|MDC-L|MDC-Lm|MDC-Ls|MDCL|eMDC II|eMDCII ADAM metallopeptidase domain 28 ADAM8 NM_001109.4 CD156|MS2 ADAM metallopeptidase domain 8 ADAM9 NM_001005845.1 CORD9|MCMP|MDC9|Mltng ADAM metallopeptidase domain 9 ADAMTS1 NM_006988.3 C3-C5|METH1 ADAM metallopeptidase with thrombospondin type 1 motif, 1 ADAMTS12 NM_030955.2 PRO4389 ADAM metallopeptidase with thrombospondin type 1 motif, 12 ADAMTS8 NM_007037.4 ADAM-TS8|METH2 ADAM metallopeptidase with thrombospondin type 1 motif, 8 ADAP1 NM_006869.2 CENTA1|GCS1L|p42IP4 ArfGAP with dual PH domains 1 ADD1 NM_001119.4 ADDA adducin 1 (alpha) ADM2 NM_001253845.1 AM2|dJ579N16.4 adrenomedullin 2 ADRA2B NM_000682.4 ADRA2L1|ADRA2RL1|ADRARL1|ALPHA2BAR|alpha-2BAR adrenoceptor alpha 2B AEBP1 NM_001129.3 ACLP AE binding protein 1 AGGF1 NM_018046.3 GPATC7|GPATCH7|HSU84971|HUS84971|VG5Q