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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. -
Vascular Phenotypes in Nonvascular Subtypes of the Ehlers-Danlos Syndrome: a Systematic Review
SYSTEMATIC REVIEW Official journal of the American College of Medical Genetics and Genomics Vascular phenotypes in nonvascular subtypes of the Ehlers-Danlos syndrome: a systematic review Sanne D’hondt, MSc1, Tim Van Damme, MD1 and Fransiska Malfait, MD, PhD1 Purpose: Within the spectrum of the Ehlers-Danlos syndromes (53%), frequently reported in musculocontractural and classical- (EDS), vascular complications are usually associated with the like EDS; intracranial hemorrhages (18%), with a high risk in vascular subtype of EDS. Vascular complications are also observed dermatosparaxis EDS; and arterial dissections (16%), frequently in other EDS subtypes, but the reports are anecdotal and the reported in kyphoscoliotic and classical EDS. Other, more minor, information is dispersed. To better document the nature of vascular vascular complications were reported in cardiac-valvular, arthro- complications among “nonvascular” EDS subtypes, we performed chalasia, spondylodysplastic, and periodontal EDS. a systematic review. Conclusion: Potentially life-threatening vascular complications are Methods: We queried three databases for English-language a rare but important finding in several nonvascular EDS sub- studies from inception until May 2017, documenting both types, highlighting a need for more systematic documentation. This phenotypes and genotypes of patients with nonvascular EDS review will help familiarize clinicians with the spectrum of vascular subtypes. The outcome included the number and nature of vascular complications in EDS and guide follow-up and management. complications. Genet Med advance online publication 5 October 2017 Results: A total of 112 papers were included and data were collected from 467 patients, of whom 77 presented with a vascular Key Words: connective tissue disorder; Ehlers-Danlos syndrome; phenotype. -
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 -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Pathophysiological Significance of Dermatan Sulfate Proteoglycans Revealed by Human Genetic Disorders
Title Pathophysiological Significance of Dermatan Sulfate Proteoglycans Revealed by Human Genetic Disorders Author(s) Mizumoto, Shuji; Kosho, Tomoki; Yamada, Shuhei; Sugahara, Kazuyuki Pharmaceuticals, 10(2), 34 Citation https://doi.org/10.3390/ph10020034 Issue Date 2017-06 Doc URL http://hdl.handle.net/2115/67053 Rights(URL) http://creativecommons.org/licenses/by/4.0/ Type article File Information pharmaceuticals10-2 34.pdf Instructions for use Hokkaido University Collection of Scholarly and Academic Papers : HUSCAP pharmaceuticals Review Pathophysiological Significance of Dermatan Sulfate Proteoglycans Revealed by Human Genetic Disorders Shuji Mizumoto 1,*, Tomoki Kosho 2, Shuhei Yamada 1 and Kazuyuki Sugahara 1,* 1 Department of Pathobiochemistry, Faculty of Pharmacy, Meijo University, 150 Yagotoyama, Tempaku-ku, Nagoya 468-8503, Japan; [email protected] 2 Center for Medical Genetics, Shinshu University Hospital, 3-1-1 Asahi, Matsumoto, Nagano 390-8621, Japan; [email protected] * Correspondence: [email protected] (S.M.); [email protected] (K.S.); Tel.: +81-52-839-2652 Academic Editor: Barbara Mulloy Received: 22 February 2017; Accepted: 24 March 2017; Published: 27 March 2017 Abstract: The indispensable roles of dermatan sulfate-proteoglycans (DS-PGs) have been demonstrated in various biological events including construction of the extracellular matrix and cell signaling through interactions with collagen and transforming growth factor-β, respectively. Defects in the core proteins of DS-PGs such as decorin and -
Anti-ZNF148 Antibody Rabbit Polyclonal Antibody to ZNF148 Catalog # AP60420
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 Anti-ZNF148 Antibody Rabbit polyclonal antibody to ZNF148 Catalog # AP60420 Specification Anti-ZNF148 Antibody - Product Information Application WB, IH, IF Primary Accession Q9UQR1 Reactivity Human, Bovine Host Rabbit Clonality Polyclonal Calculated MW 88976 Anti-ZNF148 Antibody - Additional Information Gene ID 7707 Other Names ZBP89; Zinc finger protein 148; Western blot analysis of ZNF148 expression Transcription factor ZBP-89; Zinc finger in HEK293T (A), H446 (B) whole cell lysates. DNA-binding protein 89 Target/Specificity Recognizes endogenous levels of ZNF148 protein. Dilution WB~~WB (1/500 - 1/1000), IH (1/100 - 1/200), IF/IC (1/100 - 1/500) IH~~WB (1/500 - 1/1000), IH (1/100 - 1/200), IF/IC (1/100 - 1/500) IF~~WB (1/500 - 1/1000), IH (1/100 - 1/200), IF/IC (1/100 - 1/500) Format Liquid in 0.42% Potassium phosphate, Immunohistochemical analysis of ZNF148 0.87% Sodium chloride, pH 7.3, 30% staining in human breast cancer formalin glycerol, and 0.01% sodium azide. fixed paraffin embedded tissue section. The section was pre-treated using heat mediated Storage antigen retrieval with sodium citrate buffer Store at -20 °C.Stable for 12 months from (pH 6.0). The section was then incubated with date of receipt the antibody at room temperature and detected using an HRP conjugated compact polymer system. DAB was used as the Anti-ZNF148 Antibody - Protein Information chromogen. The section was then counterstained with haematoxylin and mounted with DPX. Name ZNF148 Synonyms ZBP89 Page 1/2 10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 Function Involved in transcriptional regulation. -
Classification, Nosology and Diagnostics of Ehlers-Danlos Syndrome
J.Biomed.Transl.Res ISSN: 2503-2178 Copyright©2019 by Faculty of Medicine Diponegoro University and Indonesian Medical Association, Central Java Region Review Articles Classification, nosology and diagnostics of Ehlers-Danlos syndrome Ben C.J. Hamel* Department of Human Genetics, Radboud university medical center, Nijmegen, The Netherlands Article Info Abstract History Ehlers-Danlos syndrome (EDS) comprises a group of heritable connective tissue Received : 23 March 2019 disorders which has as cardinal features varying degrees of skin hyperextensibility, Accepted : 10 Oct 2019 joint hypermobility, easy bruising and skin fragility. The 2017 New York nosology Available : 31 Dec 2019 distinguishes 13 types of EDS, which all, except hypermobile EDS, have a known molecular basis. Hypermobile EDS is recognized as a common and often disabling disorder, incorporating benign joint hypermobility syndrome. EDS needs to be differentiated from other connective tissue disorders, in particular Marfan syndrome, Loeys-Dietz syndrome and cutis laxa. The frequent types of EDS can be diagnosed after careful history taking and clinical examination, but for definite diagnosis, molecular confirmation is needed in all types. Management for EDS patients preferably is provided by multidisciplinary teams in expertise centres. After diagnosing EDS, genetic counselling is an essential part of the management of patients and their family. Keywords : Ehlers-Danlos syndrome; classification; diagnosis Permalink/ DOI: https://doi.org/10.14710/jbtr.v5i2.4531 INTRODUCTION EDS comprises a clinically and genetically The most striking changes were: heterogeneous group of heritable connective tissue - incorporating EDS types which were published disorders (HCTD), mainly characterized by a variable since the Villefranche nosology, leading to a total degree of generalized joint hypermobility, skin number of 13 types.4 hyperextensibility, easy bruising and skin fragility. -
Understanding the Basis of Ehlers–Danlos Syndrome in the Era of the Next-Generation Sequencing
Archives of Dermatological Research (2019) 311:265–275 https://doi.org/10.1007/s00403-019-01894-0 REVIEW Understanding the basis of Ehlers–Danlos syndrome in the era of the next-generation sequencing Francesca Cortini1,2 · Chiara Villa3 · Barbara Marinelli1 · Romina Combi3 · Angela Cecilia Pesatori1 · Alessandra Bassotti4 Received: 29 July 2018 / Revised: 26 November 2018 / Accepted: 12 February 2019 / Published online: 2 March 2019 © Springer-Verlag GmbH Germany, part of Springer Nature 2019 Abstract Ehlers–Danlos syndrome (EDS) is a clinically and genetically heterogeneous group of heritable connective tissue disorders (HCTDs) defined by joint laxity, skin alterations, and joint hypermobility. The latest EDS classification recognized 13 sub- types in which the clinical and genetic phenotypes are often overlapping, making the diagnosis rather difficult and strength- ening the importance of the molecular diagnostic confirmation. New genetic techniques such as next-generation sequencing (NGS) gave the opportunity to identify the genetic bases of unresolved EDS types and support clinical counseling. To date, the molecular defects have been identified in 19 genes, mainly in those encoding collagen, its modifying enzymes or other constituents of the extracellular matrix (ECM). In this review we summarize the contribution of NGS technologies to the current knowledge of the genetic background in different EDS subtypes. Keywords Ehlers–Danlos syndrome · Heterogeneity · Heritable connective tissue disorders Introduction in 1988, represents the first attempt to classify EDS, recog- nizing 11 EDS subtypes [4], defined by Roman numerals and Ehlers–Danlos syndrome (EDS) comprises a clinically and classified according to clinical findings and the inheritance heterogeneous group of heritable connective tissue disor- pattern. -
Supplementary Figure Legends
1 Supplementary Figure legends 2 Supplementary Figure 1. 3 Experimental workflow. 4 5 Supplementary Figure 2. 6 IRF9 binding to promoters. 7 a) Verification of mIRF9 antibody by site-directed ChIP. IFNβ-stimulated binding of IRF9 to 8 the ISRE sequences of Mx2 was analyzed using BMDMs of WT and Irf9−/− (IRF9-/-) mice. 9 Cells were treated with 250 IU/ml of IFNβ for 1.5h. Data represent mean and SEM values of 10 three independent experiments. P-values were calculated using the paired ratio t-test (*P ≤ 11 0.05; **P ≤ 0.01, ***P ≤ 0.001). 12 b) Browser tracks showing complexes assigned as STAT-IRF9 in IFNγ treated wild type 13 BMDMs. Input, STAT2, IRF9 (scale 0-200). STAT1 (scale 0-150). 14 15 Supplementary Figure 3. 16 Experimental system for BioID. 17 a) Kinetics of STAT1, STAT2 and IRF9 synthesis in Raw 264.7 macrophages and wild type 18 BMDMs treated with 250 IU/ml as indicated. Whole-cell extracts were tested in western blot 19 for STAT1 phosphorylation at Y701 and of STAT2 at Y689 as well as total STAT1, STAT2, 20 IRF9 and GAPDH levels. The blots are representative of three independent experiments. b) 21 Irf9-/- mouse embryonic fibroblasts (MEFs) were transiently transfected with the indicated 22 expression vectors, including constitutively active IRF7-M15. One day after transfection, 23 RNA was isolated and Mx2 expression determined by qPCR. c) Myc-BirA*-IRF9 transgenic 24 Raw 264.7 were treated with increasing amounts of doxycycline (dox) (0,2µg/ml, 0,4µg/ml, 25 0,6µg/ml, 0,8µg/ml, 1mg/ml) and 50µM biotin. -
Truncating De Novo Mutations in the Krüppel-Type Zinc-Finger Gene
University of Groningen Truncating de novo mutations in the Kruppel-type zinc-finger gene ZNF148 in patients with corpus callosum defects, developmental delay, short stature, and dysmorphisms Stevens, Servi J. C.; van Essen, Anthonie J.; van Ravenswaaij, Conny M. A.; Elias, Abdallah F.; Haven, Jaclyn A.; Lelieveld, Stefan H.; Pfundt, Rolph; Nillesen, Willy M.; Yntema, Helger G.; van Roozendaal, Kees Published in: Genome medicine DOI: 10.1186/s13073-016-0386-9 IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below. Document Version Publisher's PDF, also known as Version of record Publication date: 2016 Link to publication in University of Groningen/UMCG research database Citation for published version (APA): Stevens, S. J. C., van Essen, A. J., van Ravenswaaij, C. M. A., Elias, A. F., Haven, J. A., Lelieveld, S. H., Pfundt, R., Nillesen, W. M., Yntema, H. G., van Roozendaal, K., Stegmann, A. P., Gilissen, C., & Brunner, H. G. (2016). Truncating de novo mutations in the Kruppel-type zinc-finger gene ZNF148 in patients with corpus callosum defects, developmental delay, short stature, and dysmorphisms. Genome medicine, 8, [131]. https://doi.org/10.1186/s13073-016-0386-9 Copyright Other than for strictly personal use, 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), unless the work is under an open content license (like Creative Commons). Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. -
Supplementary Material Computational Prediction of SARS
Supplementary_Material Computational prediction of SARS-CoV-2 encoded miRNAs and their putative host targets Sheet_1 List of potential stem-loop structures in SARS-CoV-2 genome as predicted by VMir. Rank Name Start Apex Size Score Window Count (Absolute) Direct Orientation 1 MD13 2801 2864 125 243.8 61 2 MD62 11234 11286 101 211.4 49 4 MD136 27666 27721 104 205.6 119 5 MD108 21131 21184 110 204.7 210 9 MD132 26743 26801 119 188.9 252 19 MD56 9797 9858 128 179.1 59 26 MD139 28196 28233 72 170.4 133 28 MD16 2934 2974 76 169.9 71 43 MD103 20002 20042 80 159.3 403 46 MD6 1489 1531 86 156.7 171 51 MD17 2981 3047 131 152.8 38 87 MD4 651 692 75 140.3 46 95 MD7 1810 1872 121 137.4 58 116 MD140 28217 28252 72 133.8 62 122 MD55 9712 9758 96 132.5 49 135 MD70 13171 13219 93 130.2 131 164 MD95 18782 18820 79 124.7 184 173 MD121 24086 24135 99 123.1 45 176 MD96 19046 19086 75 123.1 179 196 MD19 3197 3236 76 120.4 49 200 MD86 17048 17083 73 119.8 428 223 MD75 14534 14600 137 117 51 228 MD50 8824 8870 94 115.8 79 234 MD129 25598 25642 89 115.6 354 Reverse Orientation 6 MR61 19088 19132 88 197.8 271 10 MR72 23563 23636 148 188.8 286 11 MR11 3775 3844 136 185.1 116 12 MR94 29532 29582 94 184.6 271 15 MR43 14973 15028 109 183.9 226 27 MR14 4160 4206 89 170 241 34 MR35 11734 11792 111 164.2 37 52 MR5 1603 1652 89 152.7 118 53 MR57 18089 18132 101 152.7 139 94 MR8 2804 2864 122 137.4 38 107 MR58 18474 18508 72 134.9 237 117 MR16 4506 4540 72 133.8 311 120 MR34 10010 10048 82 132.7 245 133 MR7 2534 2578 90 130.4 75 146 MR79 24766 24808 75 127.9 59 150 MR65 21528 21576 99 127.4 83 180 MR60 19016 19049 70 122.5 72 187 MR51 16450 16482 75 121 363 190 MR80 25687 25734 96 120.6 75 198 MR64 21507 21544 70 120.3 35 206 MR41 14500 14542 84 119.2 94 218 MR84 26840 26894 108 117.6 94 Sheet_2 List of stable stem-loop structures based on MFE. -
The Expression of Genes Contributing to Pancreatic Adenocarcinoma Progression Is Influenced by the Respective Environment – Sagini Et Al
The expression of genes contributing to pancreatic adenocarcinoma progression is influenced by the respective environment – Sagini et al Supplementary Figure 1: Target genes regulated by TGM2. Figure represents 24 genes regulated by TGM2, which were obtained from Ingenuity Pathway Analysis. As indicated, 9 genes (marked red) are down-regulated by TGM2. On the contrary, 15 genes (marked red) are up-regulated by TGM2. Supplementary Table 1: Functional annotations of genes from Suit2-007 cells growing in pancreatic environment Categoriesa Diseases or p-Valuec Predicted Activation Number of genesf Functions activationd Z-scoree Annotationb Cell movement Cell movement 1,56E-11 increased 2,199 LAMB3, CEACAM6, CCL20, AGR2, MUC1, CXCL1, LAMA3, LCN2, COL17A1, CXCL8, AIF1, MMP7, CEMIP, JUP, SOD2, S100A4, PDGFA, NDRG1, SGK1, IGFBP3, DDR1, IL1A, CDKN1A, NREP, SEMA3E SERPINA3, SDC4, ALPP, CX3CL1, NFKBIA, ANXA3, CDH1, CDCP1, CRYAB, TUBB2B, FOXQ1, SLPI, F3, GRINA, ITGA2, ARPIN/C15orf38- AP3S2, SPTLC1, IL10, TSC22D3, LAMC2, TCAF1, CDH3, MX1, LEP, ZC3H12A, PMP22, IL32, FAM83H, EFNA1, PATJ, CEBPB, SERPINA5, PTK6, EPHB6, JUND, TNFSF14, ERBB3, TNFRSF25, FCAR, CXCL16, HLA-A, CEACAM1, FAT1, AHR, CSF2RA, CLDN7, MAPK13, FERMT1, TCAF2, MST1R, CD99, PTP4A2, PHLDA1, DEFB1, RHOB, TNFSF15, CD44, CSF2, SERPINB5, TGM2, SRC, ITGA6, TNC, HNRNPA2B1, RHOD, SKI, KISS1, TACSTD2, GNAI2, CXCL2, NFKB2, TAGLN2, TNF, CD74, PTPRK, STAT3, ARHGAP21, VEGFA, MYH9, SAA1, F11R, PDCD4, IQGAP1, DCN, MAPK8IP3, STC1, ADAM15, LTBP2, HOOK1, CST3, EPHA1, TIMP2, LPAR2, CORO1A, CLDN3, MYO1C,