Regulation of Experimental Autoimmune Encephalomyelitis By
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Deregulated Gene Expression Pathways in Myelodysplastic Syndrome Hematopoietic Stem Cells
Leukemia (2010) 24, 756–764 & 2010 Macmillan Publishers Limited All rights reserved 0887-6924/10 $32.00 www.nature.com/leu ORIGINAL ARTICLE Deregulated gene expression pathways in myelodysplastic syndrome hematopoietic stem cells A Pellagatti1, M Cazzola2, A Giagounidis3, J Perry1, L Malcovati2, MG Della Porta2,MJa¨dersten4, S Killick5, A Verma6, CJ Norbury7, E Hellstro¨m-Lindberg4, JS Wainscoat1 and J Boultwood1 1LRF Molecular Haematology Unit, NDCLS, John Radcliffe Hospital, Oxford, UK; 2Department of Hematology Oncology, University of Pavia Medical School, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy; 3Medizinische Klinik II, St Johannes Hospital, Duisburg, Germany; 4Division of Hematology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden; 5Department of Haematology, Royal Bournemouth Hospital, Bournemouth, UK; 6Albert Einstein College of Medicine, Bronx, NY, USA and 7Sir William Dunn School of Pathology, University of Oxford, Oxford, UK To gain insight into the molecular pathogenesis of the the World Health Organization.6,7 Patients with refractory myelodysplastic syndromes (MDS), we performed global gene anemia (RA) with or without ringed sideroblasts, according to expression profiling and pathway analysis on the hemato- poietic stem cells (HSC) of 183 MDS patients as compared with the the French–American–British classification, were subdivided HSC of 17 healthy controls. The most significantly deregulated based on the presence or absence of multilineage dysplasia. In pathways in MDS include interferon signaling, thrombopoietin addition, patients with RA with excess blasts (RAEB) were signaling and the Wnt pathways. Among the most signifi- subdivided into two categories, RAEB1 and RAEB2, based on the cantly deregulated gene pathways in early MDS are immuno- percentage of bone marrow blasts. -
Gene Symbol Gene Description ACVR1B Activin a Receptor, Type IB
Table S1. Kinase clones included in human kinase cDNA library for yeast two-hybrid screening Gene Symbol Gene Description ACVR1B activin A receptor, type IB ADCK2 aarF domain containing kinase 2 ADCK4 aarF domain containing kinase 4 AGK multiple substrate lipid kinase;MULK AK1 adenylate kinase 1 AK3 adenylate kinase 3 like 1 AK3L1 adenylate kinase 3 ALDH18A1 aldehyde dehydrogenase 18 family, member A1;ALDH18A1 ALK anaplastic lymphoma kinase (Ki-1) ALPK1 alpha-kinase 1 ALPK2 alpha-kinase 2 AMHR2 anti-Mullerian hormone receptor, type II ARAF v-raf murine sarcoma 3611 viral oncogene homolog 1 ARSG arylsulfatase G;ARSG AURKB aurora kinase B AURKC aurora kinase C BCKDK branched chain alpha-ketoacid dehydrogenase kinase BMPR1A bone morphogenetic protein receptor, type IA BMPR2 bone morphogenetic protein receptor, type II (serine/threonine kinase) BRAF v-raf murine sarcoma viral oncogene homolog B1 BRD3 bromodomain containing 3 BRD4 bromodomain containing 4 BTK Bruton agammaglobulinemia tyrosine kinase BUB1 BUB1 budding uninhibited by benzimidazoles 1 homolog (yeast) BUB1B BUB1 budding uninhibited by benzimidazoles 1 homolog beta (yeast) C9orf98 chromosome 9 open reading frame 98;C9orf98 CABC1 chaperone, ABC1 activity of bc1 complex like (S. pombe) CALM1 calmodulin 1 (phosphorylase kinase, delta) CALM2 calmodulin 2 (phosphorylase kinase, delta) CALM3 calmodulin 3 (phosphorylase kinase, delta) CAMK1 calcium/calmodulin-dependent protein kinase I CAMK2A calcium/calmodulin-dependent protein kinase (CaM kinase) II alpha CAMK2B calcium/calmodulin-dependent -
Cytogenomic SNP Microarray - Fetal ARUP Test Code 2002366 Maternal Contamination Study Fetal Spec Fetal Cells
Patient Report |FINAL Client: Example Client ABC123 Patient: Patient, Example 123 Test Drive Salt Lake City, UT 84108 DOB 2/13/1987 UNITED STATES Gender: Female Patient Identifiers: 01234567890ABCD, 012345 Physician: Doctor, Example Visit Number (FIN): 01234567890ABCD Collection Date: 00/00/0000 00:00 Cytogenomic SNP Microarray - Fetal ARUP test code 2002366 Maternal Contamination Study Fetal Spec Fetal Cells Single fetal genotype present; no maternal cells present. Fetal and maternal samples were tested using STR markers to rule out maternal cell contamination. This result has been reviewed and approved by Maternal Specimen Yes Cytogenomic SNP Microarray - Fetal Abnormal * (Ref Interval: Normal) Test Performed: Cytogenomic SNP Microarray- Fetal (ARRAY FE) Specimen Type: Direct (uncultured) villi Indication for Testing: Patient with 46,XX,t(4;13)(p16.3;q12) (Quest: EN935475D) ----------------------------------------------------------------- ----- RESULT SUMMARY Abnormal Microarray Result (Male) Unbalanced Translocation Involving Chromosomes 4 and 13 Classification: Pathogenic 4p Terminal Deletion (Wolf-Hirschhorn syndrome) Copy number change: 4p16.3p16.2 loss Size: 5.1 Mb 13q Proximal Region Deletion Copy number change: 13q11q12.12 loss Size: 6.1 Mb ----------------------------------------------------------------- ----- RESULT DESCRIPTION This analysis showed a terminal deletion (1 copy present) involving chromosome 4 within 4p16.3p16.2 and a proximal interstitial deletion (1 copy present) involving chromosome 13 within 13q11q12.12. This -
Expression Level and Prognostic Potential of MAP3K8 in Human Cancers Based on Data Mining
Expression Level and Prognostic Potential of MAP3K8 in Human Cancers Based on Data Mining Jiatao Hao Xi'an Jiaotong University Medical College First Aliated Hospital Yumeng Cao China Medical University Hui Yu Xi'an Jiaotong University Medical College First Aliated Hospital Lu Zong Xi'an Jiaotong University Medical College First Aliated Hospital Ruifang An Xi'an Jiaotong University Medical College First Aliated Hospital Yan Xue ( [email protected] ) Xi'an Jiaotong University Medical College First Aliated Hospital https://orcid.org/0000-0002-6061- 1706 Primary research Keywords: MAPK kinase kinase 8 (MAP3K8), expression, methylation, prognosis, protein-protein interaction (PPI), functional enrichment analysis Posted Date: March 9th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-276370/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/22 Abstract Background: MAPK kinase kinase 8 (MAP3K8) is a member of the MAP3K family with a major role in the regulation of the MAPK pathway and immune response. Differential expression of MAP3K8 is closely correlated with tumorigenesis. In this study, we used bioinformatics tools to explore expression level, prognostic values, and interactive networks of MAP3K8 in human cancers. Methods: Expression prole of MAP3K8 was analyzed using the Oncomine Platform, the Gene Expression Proling Interactive Analysis (GEPIA), and UALCAN. Survival analysis was evaluated via UALCAN, GEPIA, and DriverDBv3 databases. Then, MAP3K8 related functional networks were explored within GeneMANIA and Cytoscape. Moreover, Metascape was used to analyze Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Results: We found that MAP3K8 was down-expressed in most cancer samples compared with paired normal tissues. -
A Central Role of IKK2 and TPL2 in JNK Activation and Viral B-Cell Transformation
ARTICLE https://doi.org/10.1038/s41467-020-14502-x OPEN A central role of IKK2 and TPL2 in JNK activation and viral B-cell transformation Stefanie Voigt1, Kai R. Sterz 1, Fabian Giehler1,2, Anne-Wiebe Mohr 1,2, Joanna B. Wilson 3, Andreas Moosmann 1,2,4 & Arnd Kieser 1,2* IκB kinase 2 (IKK2) is well known for its pivotal role as a mediator of the canonical NF-κB pathway, which has important functions in inflammation and immunity, but also in cancer. 1234567890():,; Here we identify a novel and critical function of IKK2 and its co-factor NEMO in the activation of oncogenic c-Jun N-terminal kinase (JNK) signaling, induced by the latent membrane protein 1 (LMP1) of Epstein-Barr virus (EBV). Independent of its kinase activity, the TGFβ- activated kinase 1 (TAK1) mediates LMP1 signaling complex formation, NEMO ubiquitination and subsequent IKK2 activation. The tumor progression locus 2 (TPL2) kinase is induced by LMP1 via IKK2 and transmits JNK activation signals downstream of IKK2. The IKK2-TPL2-JNK axis is specific for LMP1 and differs from TNFα, Interleukin−1 and CD40 signaling. This pathway mediates essential LMP1 survival signals in EBV-transformed human B cells and post-transplant lymphoma, and thus qualifies as a target for treatment of EBV-induced cancer. 1 Helmholtz Centre Munich - German Research Centre for Environmental Health, Research Unit Gene Vectors, Marchioninistrasse 25, 81377 Munich, Germany. 2 German Centre for Infection Research (DZIF), Partner Site Munich, Munich, Germany. 3 School of Life Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK. -
Spitz Melanoma Is a Distinct Subset of Spitzoid Melanoma
HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Mod Pathol Manuscript Author . Author manuscript; Manuscript Author available in PMC 2020 July 03. Published in final edited form as: Mod Pathol. 2020 June ; 33(6): 1122–1134. doi:10.1038/s41379-019-0445-z. Spitz Melanoma is a Distinct Subset of Spitzoid Melanoma Shyam Raghavan, MD1, Sandra Peternel, MD2,3, Thaddeus W. Mully, MD2, Jeffrey P. North, MD2, Laura B. Pincus, MD2, Philip E. LeBoit, MD2, Timothy H. McCalmont, MD2, Boris C. Bastian, MD, PhD2, Iwei Yeh, MD, PhD2 1Department of Pathology, Stanford University, Stanford, CA 2Departments of Pathology and Dermatology, University of California San Francisco, San Francisco, CA 3Department of Dermatovenerology, University of Rijeka, Faculty of Medicine, Rijeka, Croatia Abstract Melanomas that have histopathologic features that overlap with those of Spitz nevus are referred to as spitzoid melanomas. However, the diagnostic concept is used inconsistently and genomic analyses suggest it is a heterogeneous category. Spitz tumors, the spectrum of melanocytic neoplasms extending from Spitz nevi to their malignant counterpart Spitz melanoma, are defined in the 2018 WHO classification of skin tumors by the presence of specific genetic alterations such a kinase fusions or HRAS mutations. It is unclear what fraction of ‘spitzoid melanomas’ defined solely by their histopathologic features belong to the category of Spitz melanoma or to other melanoma subtypes. We assembled a cohort of 25 spitzoid melanomas diagnosed at a single institution over an eight-year period and performed high coverage DNA sequencing of 480 cancer related genes. Transcriptome wide RNA sequencing was performed for select cases. -
Genome-Wide Analysis of Differential Transcriptional and Epigenetic
bioRxiv preprint doi: https://doi.org/10.1101/083246; this version posted October 26, 2016. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. 1 Genome-wide Analysis of Differential Transcriptional and 2 Epigenetic Variability Across Human Immune Cell Types 3 Simone Ecker,1,2,* Lu Chen,3,4 Vera Pancaldi,1 Frederik O. Bagger,4,5,6 José María Fernández,1 Enrique Carrillo de 4 Santa Pau,1 David Juan,1 Alice L. Mann,3 Stephen Watt,3 Francesco Paolo Casale,6 Nikos Sidiropoulos,7,8,9 Nicolas 5 Rapin,7,8,9 Angelika Merkel,10 BLUEPRINT Consortium, Henk Stunnenberg,11 Oliver Stegle,6 Mattia Frontini,4,5,12 Kate 6 Downes,4,5 Tomi Pastinen,13 Taco W. Kuijpers,14,15 Daniel Rico,1,17 Alfonso Valencia,1,17 Stephan Beck,2,17 Nicole 7 Soranzo3,4,17,* and Dirk S. Paul2,16,17,* 8 9 1Structural Biology and Biocomputing Programme, Spanish National Cancer Research Center (CNIO), Melchor Fernández Almagro 3, 28029 Madrid, Spain 10 2UCL Cancer Institute, University College London, 72 Huntley Street, London, WC1E 6BT, UK 11 3Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1HH, UK 12 4Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK 13 5National Health Service (NHS) Blood and Transplant, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 -
KLF6 Depletion Promotes NF-Κb Signaling in Glioblastoma
OPEN Oncogene (2017) 36, 3562–3575 www.nature.com/onc ORIGINAL ARTICLE KLF6 depletion promotes NF-κB signaling in glioblastoma AP Masilamani1,2, R Ferrarese1,2, E Kling1,2, NK Thudi3, H Kim4, DM Scholtens5, F Dai1,2, M Hadler1,2, T Unterkircher1,2, L Platania1,2, A Weyerbrock1,2, M Prinz6,7, GY Gillespie8, GR Harsh IV9, M Bredel3,10 and MS Carro1,2,10 Dysregulation of the NF-κB transcription factor occurs in many cancer types. Krüppel-like family of transcription factors (KLFs) regulate the expression of genes involved in cell proliferation, differentiation and survival. Here, we report a new mechanism of NF- κB activation in glioblastoma through depletion of the KLF6 tumor suppressor. We show that KLF6 transactivates multiple genes negatively controlling the NF-κB pathway and consequently reduces NF-κB nuclear localization and downregulates NF-κB targets. Reconstitution of KLF6 attenuates their malignant phenotype and induces neural-like differentiation and senescence, consistent with NF-κB pathway inhibition. KLF6 is heterozygously deleted in 74.5% of the analyzed glioblastomas and predicts unfavorable patient prognosis suggesting that haploinsufficiency is a clinically relevant means of evading KLF6-dependent regulation of NF-κB. Together, our study identifies a new mechanism by which KLF6 regulates NF-κB signaling, and how this mechanism is circumvented in glioblastoma through KLF6 loss. Oncogene (2017) 36, 3562–3575; doi:10.1038/onc.2016.507; published online 6 February 2017 INTRODUCTION coding region have been controversial.16,18–22 KLF6 has been The NF-κB transcription factor family is oncogenic through proposed to perform its tumor suppression function by promoting suppression of programmed cell death, and promotion of tumor G1 cell cycle arrest mainly through cyclin-dependent kinase 15 growth and invasion.1 In tumors, NF-κB can be activated by inhibitor 1A (CDKN1A) promoter transactivation. -
Tpl2 (Map3k8) Regulates the Migration, Differentiation, and Function
TPL2 (MAP3K8) REGULATES THE MIGRATION, DIFFERENTIATION, AND FUNCTION OF CRITICAL INNATE IMMUNE CELLS DURING THE INFLAMMATORY RESPONSE by SEAN MICHAEL ROWLEY (Under the Direction of Wendy Watford) ABSTRACT The protein kinase Tpl2 (MAP3K8) regulates innate inflammatory responses and is being actively pursued for therapeutic inhibition during chronic autoimmunity. Herein, we addressed the contribution of Tpl2 to pro-inflammatory responses of NK cells and macrophages. Despite the Tpl2-dependent regulation of IFN secretion by CD4+ T-cells, NK cell IFNγ production, STAT4 expression, and expression of cytotoxic machinery occurred independently of Tpl2. In contrast, tpl2-/- macrophages were functionally defective, as they displayed impaired chemokine and chemokine receptor expression following LPS stimulation and were defective in migrating in vivo to inflamed tissues. Tpl2-/- macrophages were also impaired in their differentiation towards a pro-inflammatory phenotype (M1) while conversely displaying an enhanced anti-inflammatory phenotype (M2). Overall, this work provides additional support for targeting Tpl2, through its effects on macrophage recruitment and differentiation, for the treatment of autoimmunity. INDEX WORDS: autoimmunity, inflammation, cytokines, chemokines, cellular trafficking, NK cells, macrophage classical activation, macrophage alternative activation TPL2 (MAP3K8) REGULATES THE MIGRATION, DIFFERENTIATION, AND FUNCTION OF CRITICAL INNATE IMMUNE CELLS DURING THE INFLAMMATORY RESPONSE by SEAN MICHAEL ROWLEY B.S., University -
Chemokine Expression in the Early Response to Injury in Human Airway Epithelial Cells
RESEARCH ARTICLE Chemokine expression in the early response to injury in human airway epithelial cells Bingqing Xie1,2, Bharathi Laxman3, Somaye Hashemifar1,4, Randi Stern3, T. Conrad Gilliam1, Natalia Maltsev1, Steven R. White3* 1 Department of Human Genetics, University of Chicago, Chicago, IL, United States of America, 2 Illinois Institute of Technology, Chicago, IL, United States of America, 3 Department of Medicine, University of Chicago, Chicago, IL, United States of America, 4 Toyota Technological Institute at Chicago, Chicago, IL, United States of America a1111111111 * [email protected] a1111111111 a1111111111 a1111111111 a1111111111 Abstract Basal airway epithelial cells (AEC) constitute stem/progenitor cells within the central airways and respond to mucosal injury in an ordered sequence of spreading, migration, proliferation, and differentiation to needed cell types. However, dynamic gene transcription in the early OPEN ACCESS events after mucosal injury has not been studied in AEC. We examined gene expression Citation: Xie B, Laxman B, Hashemifar S, Stern R, using microarrays following mechanical injury (MI) in primary human AEC grown in submer- Gilliam TC, Maltsev N, et al. (2018) Chemokine sion culture to generate basal cells and in the air-liquid interface to generate differentiated expression in the early response to injury in human AEC (dAEC) that include goblet and ciliated cells. A select group of ~150 genes was in dif- airway epithelial cells. PLoS ONE 13(3): e0193334. https://doi.org/10.1371/journal.pone.0193334 ferential expression (DE) within 2±24 hr after MI, and enrichment analysis of these genes showed over-representation of functional categories related to inflammatory cytokines and Editor: Hong Wei Chu, National Jewish Health, UNITED STATES chemokines. -
Ras/Raf/MEK/ERK and PI3K/PTEN/Akt/Mtor Cascade Inhibitors: How Mutations Can Result in Therapy Resistance and How to Overcome Resistance
www.impactjournals.com/oncotarget/ Oncotarget, October, Vol.3, No 10 Ras/Raf/MEK/ERK and PI3K/PTEN/Akt/mTOR Cascade Inhibitors: How Mutations Can Result in Therapy Resistance and How to Overcome Resistance James A. McCubrey1, Linda S. Steelman1, William H. Chappell1, Stephen L. Abrams1, Richard A. Franklin1, Giuseppe Montalto2, Melchiorre Cervello3, Massimo Libra4, Saverio Candido4, Grazia Malaponte4, Maria C. Mazzarino4, Paolo Fagone4, Ferdinando Nicoletti4, Jörg Bäsecke5, Sanja Mijatovic6, Danijela Maksimovic- Ivanic6, Michele Milella7, Agostino Tafuri8, Francesca Chiarini9, Camilla Evangelisti9, Lucio Cocco10, Alberto M. Martelli9,10 1 Department of Microbiology and Immunology, Brody School of Medicine at East Carolina University, Greenville, NC, USA 2 Department of Internal Medicine and Specialties, University of Palermo, Palermo, Italy 3 Consiglio Nazionale delle Ricerche, Istituto di Biomedicina e Immunologia Molecolare “Alberto Monroy”, Palermo, Italy 4 Department of Bio-Medical Sciences, University of Catania, Catania, Italy 5 Department of Medicine, University of Göttingen, Göttingen, Germany 6 Department of Immunology, Instititue for Biological Research “Sinisa Stankovic”, University of Belgrade, Belgrade, Serbia 7 Regina Elena National Cancer Institute, Rome, Italy 8 Sapienza, University of Rome, Department of Cellular Biotechnology and Hematology, Rome, Italy 9 Institute of Molecular Genetics, National Research Council-Rizzoli Orthopedic Institute, Bologna, Italy. 10 Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy Correspondence to: James A. McCubrey, email: [email protected] Keywords: Targeted Therapy, Therapy Resistance, Cancer Stem Cells, Raf, Akt, PI3K, mTOR Received: September 12, 2012, Accepted: October 18, 2012, Published: October 20, 2012 Copyright: © McCubrey 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. -
Supplementary Material DNA Methylation in Inflammatory Pathways Modifies the Association Between BMI and Adult-Onset Non- Atopic
Supplementary Material DNA Methylation in Inflammatory Pathways Modifies the Association between BMI and Adult-Onset Non- Atopic Asthma Ayoung Jeong 1,2, Medea Imboden 1,2, Akram Ghantous 3, Alexei Novoloaca 3, Anne-Elie Carsin 4,5,6, Manolis Kogevinas 4,5,6, Christian Schindler 1,2, Gianfranco Lovison 7, Zdenko Herceg 3, Cyrille Cuenin 3, Roel Vermeulen 8, Deborah Jarvis 9, André F. S. Amaral 9, Florian Kronenberg 10, Paolo Vineis 11,12 and Nicole Probst-Hensch 1,2,* 1 Swiss Tropical and Public Health Institute, 4051 Basel, Switzerland; [email protected] (A.J.); [email protected] (M.I.); [email protected] (C.S.) 2 Department of Public Health, University of Basel, 4001 Basel, Switzerland 3 International Agency for Research on Cancer, 69372 Lyon, France; [email protected] (A.G.); [email protected] (A.N.); [email protected] (Z.H.); [email protected] (C.C.) 4 ISGlobal, Barcelona Institute for Global Health, 08003 Barcelona, Spain; [email protected] (A.-E.C.); [email protected] (M.K.) 5 Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain 6 CIBER Epidemiología y Salud Pública (CIBERESP), 08005 Barcelona, Spain 7 Department of Economics, Business and Statistics, University of Palermo, 90128 Palermo, Italy; [email protected] 8 Environmental Epidemiology Division, Utrecht University, Institute for Risk Assessment Sciences, 3584CM Utrecht, Netherlands; [email protected] 9 Population Health and Occupational Disease, National Heart and Lung Institute, Imperial College, SW3 6LR London, UK; [email protected] (D.J.); [email protected] (A.F.S.A.) 10 Division of Genetic Epidemiology, Medical University of Innsbruck, 6020 Innsbruck, Austria; [email protected] 11 MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, W2 1PG London, UK; [email protected] 12 Italian Institute for Genomic Medicine (IIGM), 10126 Turin, Italy * Correspondence: [email protected]; Tel.: +41-61-284-8378 Int.