Transcriptome Profiling Analyses in Psoriasis
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Implications in Parkinson's Disease
Journal of Clinical Medicine Review Lysosomal Ceramide Metabolism Disorders: Implications in Parkinson’s Disease Silvia Paciotti 1,2 , Elisabetta Albi 3 , Lucilla Parnetti 1 and Tommaso Beccari 3,* 1 Laboratory of Clinical Neurochemistry, Department of Medicine, University of Perugia, Sant’Andrea delle Fratte, 06132 Perugia, Italy; [email protected] (S.P.); [email protected] (L.P.) 2 Section of Physiology and Biochemistry, Department of Experimental Medicine, University of Perugia, Sant’Andrea delle Fratte, 06132 Perugia, Italy 3 Department of Pharmaceutical Sciences, University of Perugia, Via Fabretti, 06123 Perugia, Italy; [email protected] * Correspondence: [email protected] Received: 29 January 2020; Accepted: 20 February 2020; Published: 21 February 2020 Abstract: Ceramides are a family of bioactive lipids belonging to the class of sphingolipids. Sphingolipidoses are a group of inherited genetic diseases characterized by the unmetabolized sphingolipids and the consequent reduction of ceramide pool in lysosomes. Sphingolipidoses include several disorders as Sandhoff disease, Fabry disease, Gaucher disease, metachromatic leukodystrophy, Krabbe disease, Niemann Pick disease, Farber disease, and GM2 gangliosidosis. In sphingolipidosis, lysosomal lipid storage occurs in both the central nervous system and visceral tissues, and central nervous system pathology is a common hallmark for all of them. Parkinson’s disease, the most common neurodegenerative movement disorder, is characterized by the accumulation and aggregation of misfolded α-synuclein that seem associated to some lysosomal disorders, in particular Gaucher disease. This review provides evidence into the role of ceramide metabolism in the pathophysiology of lysosomes, highlighting the more recent findings on its involvement in Parkinson’s disease. Keywords: ceramide metabolism; Parkinson’s disease; α-synuclein; GBA; GLA; HEX A-B; GALC; ASAH1; SMPD1; ARSA * Correspondence [email protected] 1. -
Therapeutic and Prophylactic Use of Oral, Low-Dose Ifns in Species of Veterinary Interest: Back to the Future
veterinary sciences Review Therapeutic and Prophylactic Use of Oral, Low-Dose IFNs in Species of Veterinary Interest: Back to the Future Sara Frazzini 1 , Federica Riva 2,* and Massimo Amadori 3 1 Gastroenterology and Endoscopy Unit, Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, 20122 Milan, Italy; [email protected] 2 Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, 26900 Lodi, Italy 3 Rete Nazionale di Immunologia Veterinaria, 25125 Brescia, Italy; [email protected] * Correspondence: [email protected]; Tel.: +39-0250334519 Abstract: Cytokines are important molecules that orchestrate the immune response. Given their role, cytokines have been explored as drugs in immunotherapy in the fight against different pathological conditions such as bacterial and viral infections, autoimmune diseases, transplantation and cancer. One of the problems related to their administration consists in the definition of the correct dose to avoid severe side effects. In the 70s and 80s different studies demonstrated the efficacy of cytokines in veterinary medicine, but soon the investigations were abandoned in favor of more profitable drugs such as antibiotics. Recently, the World Health Organization has deeply discouraged the use of antibiotics in order to reduce the spread of multi-drug resistant microorganisms. In this respect, the use of cytokines to prevent or ameliorate infectious diseases has been highlighted, and several studies show the potential of their use in therapy and prophylaxis also in the veterinary field. In this review we aim to review the principles of cytokine treatments, mainly IFNs, and to update the experiences encountered in animals. Keywords: veterinary immunotherapy; cytokines; IFN; low dose treatment; oral treatment Citation: Frazzini, S.; Riva, F.; Amadori, M. -
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. -
Understanding the Molecular Pathobiology of Acid Ceramidase Deficiency
Understanding the Molecular Pathobiology of Acid Ceramidase Deficiency By Fabian Yu A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Institute of Medical Science University of Toronto © Copyright by Fabian PS Yu 2018 Understanding the Molecular Pathobiology of Acid Ceramidase Deficiency Fabian Yu Doctor of Philosophy Institute of Medical Science University of Toronto 2018 Abstract Farber disease (FD) is a devastating Lysosomal Storage Disorder (LSD) caused by mutations in ASAH1, resulting in acid ceramidase (ACDase) deficiency. ACDase deficiency manifests along a broad spectrum but in its classical form patients die during early childhood. Due to the scarcity of cases FD has largely been understudied. To circumvent this, our lab previously generated a mouse model that recapitulates FD. In some case reports, patients have shown signs of visceral involvement, retinopathy and respiratory distress that may lead to death. Beyond superficial descriptions in case reports, there have been no in-depth studies performed to address these conditions. To improve the understanding of FD and gain insights for evaluating future therapies, we performed comprehensive studies on the ACDase deficient mouse. In the visual system, we reported presence of progressive uveitis. Further tests revealed cellular infiltration, lipid buildup and extensive retinal pathology. Mice developed retinal dysplasia, impaired retinal response and decreased visual acuity. Within the pulmonary system, lung function tests revealed a decrease in lung compliance. Mice developed chronic lung injury that was contributed by cellular recruitment, and vascular leakage. Additionally, we report impairment to lipid homeostasis in the lungs. ii To understand the liver involvement in FD, we characterized the pathology and performed transcriptome analysis to identify gene and pathway changes. -
Supplemental Materials ZNF281 Enhances Cardiac Reprogramming
Supplemental Materials ZNF281 enhances cardiac reprogramming by modulating cardiac and inflammatory gene expression Huanyu Zhou, Maria Gabriela Morales, Hisayuki Hashimoto, Matthew E. Dickson, Kunhua Song, Wenduo Ye, Min S. Kim, Hanspeter Niederstrasser, Zhaoning Wang, Beibei Chen, Bruce A. Posner, Rhonda Bassel-Duby and Eric N. Olson Supplemental Table 1; related to Figure 1. Supplemental Table 2; related to Figure 1. Supplemental Table 3; related to the “quantitative mRNA measurement” in Materials and Methods section. Supplemental Table 4; related to the “ChIP-seq, gene ontology and pathway analysis” and “RNA-seq” and gene ontology analysis” in Materials and Methods section. Supplemental Figure S1; related to Figure 1. Supplemental Figure S2; related to Figure 2. Supplemental Figure S3; related to Figure 3. Supplemental Figure S4; related to Figure 4. Supplemental Figure S5; related to Figure 6. Supplemental Table S1. Genes included in human retroviral ORF cDNA library. Gene Gene Gene Gene Gene Gene Gene Gene Symbol Symbol Symbol Symbol Symbol Symbol Symbol Symbol AATF BMP8A CEBPE CTNNB1 ESR2 GDF3 HOXA5 IL17D ADIPOQ BRPF1 CEBPG CUX1 ESRRA GDF6 HOXA6 IL17F ADNP BRPF3 CERS1 CX3CL1 ETS1 GIN1 HOXA7 IL18 AEBP1 BUD31 CERS2 CXCL10 ETS2 GLIS3 HOXB1 IL19 AFF4 C17ORF77 CERS4 CXCL11 ETV3 GMEB1 HOXB13 IL1A AHR C1QTNF4 CFL2 CXCL12 ETV7 GPBP1 HOXB5 IL1B AIMP1 C21ORF66 CHIA CXCL13 FAM3B GPER HOXB6 IL1F3 ALS2CR8 CBFA2T2 CIR1 CXCL14 FAM3D GPI HOXB7 IL1F5 ALX1 CBFA2T3 CITED1 CXCL16 FASLG GREM1 HOXB9 IL1F6 ARGFX CBFB CITED2 CXCL3 FBLN1 GREM2 HOXC4 IL1F7 -
Distinctive Gene Expression Signatures in Rheumatoid Arthritis Synovial Tissue Fibroblast Cells: Correlates with Disease Activity
Genes and Immunity (2007) 8, 480–491 & 2007 Nature Publishing Group All rights reserved 1466-4879/07 $30.00 www.nature.com/gene ORIGINAL ARTICLE Distinctive gene expression signatures in rheumatoid arthritis synovial tissue fibroblast cells: correlates with disease activity CL Galligan1,2, E Baig1,2, V Bykerk3,4, EC Keystone3,4 and EN Fish1,2 1Toronto General Research Institute, University Health Network, Toronto, Ontario, Canada; 2Department of Immunology, University of Toronto, Toronto, Ontario, Canada; 3The Rebecca MacDonald Centre for Arthritis and Autoimmune Diseases, Toronto, Ontario, Canada and 4Department of Medicine, University of Toronto, Toronto, Ontario, Canada Gene expression profiling of rheumatoid arthritis (RA) and osteoarthritis (OA) joint tissue samples provides a unique insight into the gene signatures involved in disease development and progression. Fibroblast-like synovial (FLS) cells were obtained from RA, OA and control trauma joint tissues (non-RA, non-OA) and RNA was analyzed by Affymetrix microarray. Thirty-four genes specific to RA and OA FLS cells were identified (Po0.05). HOXD10, HOXD11, HOXD13, CCL8 and LIM homeobox 2 were highly and exclusively expressed in RA and CLU, sarcoglycan-g, GPR64, POU3F3, peroxisome proliferative activated receptor-g and tripartite motif-containing 2 were expressed only in OA. The data also revealed expression heterogeneity for patients with the same disease. To address disease heterogeneity in RA FLS cells, we examined the effects of clinical disease parameters (Health Assessment Questionnaire (HAQ) score, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), rheumatoid factor (RF)) and drug therapies (methotrexate/prednisone) on RA FLS cell gene expression. Eight specific and unique correlations were identified: human leukocyte antigen (HLA)-DQA2 with HAQ score; Clec12A with RF; MAB21L2, SIAT7E, HAPLN1 and BAIAP2L1 with CRP level; RGMB and OSAP with ESR. -
IL-11 Induces Encephalitogenic Th17 Cells in Multiple Sclerosis and Experimental Autoimmune Encephalomyelitis
IL-11 Induces Encephalitogenic Th17 Cells in Multiple Sclerosis and Experimental Autoimmune Encephalomyelitis This information is current as Xin Zhang, Nazanin Kiapour, Sahil Kapoor, Tabish Khan, of September 27, 2021. Madhan Thamilarasan, Yazhong Tao, Stephanie Cohen, Ryan Miller, Raymond A. Sobel and Silva Markovic-Plese J Immunol published online 24 July 2019 http://www.jimmunol.org/content/early/2019/07/23/jimmun ol.1900311 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2019/07/23/jimmunol.190031 Material 1.DCSupplemental http://www.jimmunol.org/ Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication by guest on September 27, 2021 *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 Author Choice Freely available online through The Journal of Immunology Author Choice option 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 © 2019 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. Published July 24, 2019, doi:10.4049/jimmunol.1900311 The Journal of Immunology IL-11 Induces Encephalitogenic Th17 Cells in Multiple Sclerosis and Experimental Autoimmune Encephalomyelitis Xin Zhang,* Nazanin Kiapour,* Sahil Kapoor,* Tabish Khan,* Madhan Thamilarasan,* Yazhong Tao,* Stephanie Cohen,† Ryan Miller,‡ Raymond A. -
Microbes and Metagenomics in Human Health an Overview of Recent Publications Featuring Illumina® Technology TABLE of CONTENTS
Microbes and Metagenomics in Human Health An overview of recent publications featuring Illumina® technology TABLE OF CONTENTS 4 Introduction 5 Human Microbiome Gut Microbiome Gut Microbiome and Disease Inflammatory Bowel Disease (IBD) Metabolic Diseases: Diabetes and Obesity Obesity Oral Microbiome Other Human Biomes 25 Viromes and Human Health Viral Populations Viral Zoonotic Reservoirs DNA Viruses RNA Viruses Human Viral Pathogens Phages Virus Vaccine Development 44 Microbial Pathogenesis Important Microorganisms in Human Health Antimicrobial Resistance Bacterial Vaccines 54 Microbial Populations Amplicon Sequencing 16S: Ribosomal RNA Metagenome Sequencing: Whole-Genome Shotgun Metagenomics Eukaryotes Single-Cell Sequencing (SCS) Plasmidome Transcriptome Sequencing 63 Glossary of Terms 64 Bibliography This document highlights recent publications that demonstrate the use of Illumina technologies in immunology research. To learn more about the platforms and assays cited, visit www.illumina.com. An overview of recent publications featuring Illumina technology 3 INTRODUCTION The study of microbes in human health traditionally focused on identifying and 1. Roca I., Akova M., Baquero F., Carlet J., treating pathogens in patients, usually with antibiotics. The rise of antibiotic Cavaleri M., et al. (2015) The global threat of resistance and an increasingly dense—and mobile—global population is forcing a antimicrobial resistance: science for interven- tion. New Microbes New Infect 6: 22-29 1, 2, 3 change in that paradigm. Improvements in high-throughput sequencing, also 2. Shallcross L. J., Howard S. J., Fowler T. and called next-generation sequencing (NGS), allow a holistic approach to managing Davies S. C. (2015) Tackling the threat of anti- microbial resistance: from policy to sustainable microbes in human health. -
FULLTEXT01.Pdf
http://www.diva-portal.org This is the published version of a paper published in International Journal of Oncology. Citation for the original published paper (version of record): Lindsten, T., Hedbrant, A., Ramberg, A., Wijkander, J., Solterbeck, A. et al. (2017) Effect of macrophages on breast cancer cell proliferation, and on expression of hormone receptors, uPAR and HER-2 International Journal of Oncology, 51(1): 104-114 https://doi.org/10.3892/ijo.2017.3996 Access to the published version may require subscription. N.B. When citing this work, cite the original published paper. © Lindsten et al. This is an open access article distributed under the terms of Creative Commons Attribution License. Permanent link to this version: http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-65678 104 INTERNATIONAL JOURNAL OF ONCOLOGY 51: 104-114, 2017 Effect of macrophages on breast cancer cell proliferation, and on expression of hormone receptors, uPAR and HER-2 THERÉSE LINDSTEN1, ALEXANDER HEDBRANT2, ANNA RAMBERG1,2, JONNy WIJKANDER3, ANJA Solterbeck1, Margareta ERIKSSON1,5, DICK DELBRO2 and ANN ERLANDSSON4,5 1Department of Clinical Pathology and Cytology, Central Hospital Karlstad, SE-651 88 Karlstad; 2School of Medical Sciences, Örebro University, SE-702 81 Örebro; Departments of 3Health Sciences, 4Environmental and Life Sciences/Biology, Karlstad University, SE-651 88 Karlstad; 5Department of Urology, Faculty of Medicine and Health, Örebro University, Örebro University Hospital, SE-701 82 Örebro, Sweden Received February 13, 2017; Accepted March 27, 2017 DOI: 10.3892/ijo.2017.3996 Abstract. Malignant tumors, including breast cancers, capability to decrease the tumor cell expression of ERα and PR are frequently infiltrated with innate immune cells and in vitro. -
Emerging Role of Tumor Cell Plasticity in Modifying Therapeutic Response
Signal Transduction and Targeted Therapy www.nature.com/sigtrans REVIEW ARTICLE OPEN Emerging role of tumor cell plasticity in modifying therapeutic response Siyuan Qin1, Jingwen Jiang1,YiLu 2,3, Edouard C. Nice4, Canhua Huang1,5, Jian Zhang2,3 and Weifeng He6,7 Resistance to cancer therapy is a major barrier to cancer management. Conventional views have proposed that acquisition of resistance may result from genetic mutations. However, accumulating evidence implicates a key role of non-mutational resistance mechanisms underlying drug tolerance, the latter of which is the focus that will be discussed here. Such non-mutational processes are largely driven by tumor cell plasticity, which renders tumor cells insusceptible to the drug-targeted pathway, thereby facilitating the tumor cell survival and growth. The concept of tumor cell plasticity highlights the significance of re-activation of developmental programs that are closely correlated with epithelial–mesenchymal transition, acquisition properties of cancer stem cells, and trans- differentiation potential during drug exposure. From observations in various cancers, this concept provides an opportunity for investigating the nature of anticancer drug resistance. Over the years, our understanding of the emerging role of phenotype switching in modifying therapeutic response has considerably increased. This expanded knowledge of tumor cell plasticity contributes to developing novel therapeutic strategies or combination therapy regimens using available anticancer drugs, which are likely to -
Bioinformatics Tools for RNA-Seq Gene and Isoform Quantification
on: Sequ ati en er c n in e g G & t x A Journal of e p Zhang, et al., Next Generat Sequenc & Applic p N l f i c o 2016, 3:3 a l t a i o n r ISSN: 2469-9853n u s DOI: 10.4172/2469-9853.1000140 o Next Generation Sequencing & Applications J Review Article Open Access Bioinformatics Tools for RNA-seq Gene and Isoform Quantification Chi Zhang1, Baohong Zhang1, Michael S Vincent2 and Shanrong Zhao1* 1Early Clinical Development, Pfizer Worldwide R&D, Cambridge, MA, USA 2Inflammation and Immunology RU, Pfizer Worldwide R&D, Cambridge, MA, USA *Corresponding author: Shanrong Zhao, Early Clinical Development, Pfizer Worldwide R&D, Cambridge, MA, 02139, USA, Tel: + 1-212-733-2323; E-mail: [email protected] Rec date: Oct 27, 2016; Acc date: Dec 15, 2016; Pub date: Dec 17, 2016 Copyright: © 2016 Zhang C, et al. This is an open-access article distributed under the terms of the creative commons attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Abstract In recent years, RNA-seq has emerged as a powerful technology in estimation of gene or transcript expression. ‘Union-exon’ and transcript based approaches are widely used in gene quantification. The ‘Union-exon’ based approach is simple, but it does not distinguish between isoforms when multiple alternatively spliced transcripts are expressed from the same gene. Because a gene is expressed in one or more transcript isoforms, the transcript based approach is more biologically meaningful than the ‘union exon’-based approach. -
Cytokine Profiling in Myeloproliferative Neoplasms
cells Review Cytokine Profiling in Myeloproliferative Neoplasms: Overview on Phenotype Correlation, Outcome Prediction, and Role of Genetic Variants 1,2, , 1, 1 3 3 Elena Masselli * y , Giulia Pozzi y, Giuliana Gobbi , Stefania Merighi , Stefania Gessi , Marco Vitale 1,2,* and Cecilia Carubbi 1 1 Department of Medicine and Surgery, Anatomy Unit, University of Parma, Via Gramsci 14, 43126 Parma, Italy; [email protected] (G.P.); [email protected] (G.G.); [email protected] (C.C.) 2 University Hospital of Parma, AOU-PR, Via Gramsci 14, 43126 Parma, Italy 3 Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, 44121 Ferrara, Italy; [email protected] (S.M.); [email protected] (S.G.) * Correspondence: [email protected] (E.M.); [email protected] (M.V.); Tel.: +39-052-190-6655 (E.M.); +39-052-103-3032 (M.V.) These authors contributed equally to this work. y Received: 1 September 2020; Accepted: 19 September 2020; Published: 21 September 2020 Abstract: Among hematologic malignancies, the classic Philadelphia-negative chronic myeloproliferative neoplasms (MPNs) are considered a model of inflammation-related cancer development. In this context, the use of immune-modulating agents has recently expanded the MPN therapeutic scenario. Cytokines are key mediators of an auto-amplifying, detrimental cross-talk between the MPN clone and the tumor microenvironment represented by immune, stromal, and endothelial cells. This review focuses on recent advances in cytokine-profiling of MPN patients, analyzing different expression patterns among the three main Philadelphia-negative (Ph-negative) MPNs, as well as correlations with disease molecular profile, phenotype, progression, and outcome.