Gene Selenoprotein P Trypanosomiasis Through the IL-10 Inducible Pathogenicity Associated with African Alternatively Activated M

Total Page:16

File Type:pdf, Size:1020Kb

Gene Selenoprotein P Trypanosomiasis Through the IL-10 Inducible Pathogenicity Associated with African Alternatively Activated M The Journal of Immunology Alternatively Activated Myeloid Cells Limit Pathogenicity Associated with African Trypanosomiasis through the IL-10 Inducible Gene Selenoprotein P1 Tom Bosschaerts,*† Martin Guilliams,*† Wim Noel,*† Michel He´rin,‡ Raymond F. Burk,§ Kristina E. Hill,§ Lea Brys,*† Geert Raes,*† Gholamreza Hassanzadeh Ghassabeh,*† Patrick De Baetselier,*† and Alain Beschin2*† Uncontrolled inflammation is a major cause of tissue injury/pathogenicity often resulting in death of a host infected with African trypanosomes. Thus, comparing the immune response in hosts that develop different degrees of disease severity represents a promising approach to discover processes contributing to trypanosomiasis control. It is known that limitation of pathogenicity requires a transition in the course of infection, from an IFN-␥-dependent response resulting in the devel- opment of classically activated myeloid cells (M1), to a counterbalancing IL-10-dependent response associated with alter- natively activated myeloid cells (M2). Herein, mechanisms and downstream effectors by which M2 contribute to lower the pathogenicity and the associated susceptibility to African trypanosomiasis have been explored. Gene expression analysis in IL-10 knockout and wild-type mice, that are susceptible and relatively resistant to Trypanosoma congolense infection, re- spectively, revealed a number of IL-10-inducible genes expressed by M2, including Sepp1 coding for selenoprotein P. Func- tional analyses confirm that selenoprotein P contributes to limit disease severity through anti-oxidant activity. Indeed, Sepp1 knockout mice, but not Sepp1⌬240-361 mice retaining the anti-oxidant motif but lacking the selenium transporter domain of selenoprotein P, exhibited increased tissue injury that associated with increased production of reactive oxygen species and increased apoptosis in the liver immune cells, reduced parasite clearance capacity of myeloid cells, and decreased survival. These data validate M2-associated molecules as functioning in reducing the impact of parasite infection on the host. The Journal of Immunology, 2008, 180: 6168–6175. he plasticity of macrophages and other CD11bϩ myeloid of type 2 cytokine-associated MCs (M2) exerting overlapping cells (MCs)3 in response to microenvironmental signals functions have been recognized (1). Indeed, IL-4/IL-13-activated results in a continuum of different activation forms. At MCs (designated M2a), that promote type 2 immune response by guest on October 1, 2021. Copyright 2008 Pageant Media Ltd. T one end of the spectrum, type 1 cytokine-associated MCs (M1)- and inflammation, share common characteristics with IL-10- induced by IFN-␥, TNF-␣, and microbial products like LPS rep- induced/deactivated MCs (M2c) and type II activated MCs resent the classical form of activation state and play a critical role (M2b) polarized via exposure to immune complexes and ligands in type 1 inflammation and in the fight against intracellular patho- of TLRs or IL-1R. M2c contribute to tissue remodeling whereas gens and tumors. At the other end of the spectrum, distinct subsets M2b induce type 2 immune responses and suppress type 1 in- flammation but promote type 2 inflammation. *Department of Molecular and Cellular Interactions and †Laboratory of Cellular In a recent investigation, we have identified a common gene and Molecular Immunology, Vrije Universiteit Brussel, Brussels; ‡Cell and Tissue signature for peritoneal and splenic M2, by gene expression anal- Laboratory, Unite´de Recherche en Physiologie Mole´culaire, Faculte´s Universi- http://classic.jimmunol.org ysis in MCs elicited in various pathologies including African taires Notre-Dame de la Paix, Namur, Belgium; and §Division of Gastroenterol- ogy, Hepatology, and Nutrition, Department of Medicine, Vanderbilt University trypanosomiasis, helminthiasis, and lymphoma progression (2). School of Medicine, Nashville, TN 37232 The wide-ranging M2 signature includes genes that were earlier Received for publication July 16, 2007. Accepted for publication February 20, 2008. documented as M2 markers (Arg1, Retnla, MglI, MglII, Mrc1, and The costs of publication of this article were defrayed in part by the payment of page Chi3l3/4) and genes that were not before associated with M2 charges. This article must therefore be hereby marked advertisement in accordance (Pla2g7, Psap, Sepp1, Pmp22, Trem2, Folr2, and Cdh1). Together with 18 U.S.C. Section 1734 solely to indicate this fact. Downloaded from with the gene expression profile of tumor-associated macrophages 1 This work, performed in frame of an Interuniversity Attraction Pole Program, was supported by grants from the Institute for Promotion of Innovation by Science (3) and nematode infection elicited macrophages (4) exhibiting an and Technology in Flanders and the Fund for Scientific Research Flanders, and by M2 phenotype, the common M2 gene signature constitutes a re- a grant from Institute for Promotion of Innovation by Science and Technology in Flanders for Generisch Basisonderzoek aan de Universiteiten. R.F.B. and K.E.H. sourceful tool to explore the functions of M2. In this regard, we are supported by National Institutes of Health Grant ES02497. have investigated the functional implication of a number of M2 2 Address correspondence and reprint requests to Dr. Alain Beschin, Department of signature genes in helminthiasis (5) and tumor progression (6). In Molecular and Cellular Interactions, Vrije Universiteit Brussel, Laboratory of Cellular the present work, we have examined the significance of M2-asso- and Molecular Immunology, Pleinlaan 2, 1050 Brussels, Belgium. E-mail address: [email protected] ciated genes in African trypanosomiasis. 3 Abbreviations used in this paper: MC, myeloid cell; ROS, reactive oxygen species; It has been documented that the heterogeneity of MCs affects the Sepp1, selenoprotein P; Sepp1⌬240-361, selenoprotein P truncated of amino acids 240– outcome of African trypanosomiasis (7). In both Trypanosoma 361; Ctss, cathepsin S; Ngfb, nerve growth factor ␤; F13a1, coagulation factor XIII, congolense- and Trypanosoma brucei-infected mice, the develop- A1 subunit; Treg, T regulatory cell; KO, knockout. ment of IFN-␥-dependent M1 in the acute stage of infection re- Copyright © 2008 by The American Association of Immunologists, Inc. 0022-1767/08/$2.00 stricts parasite growth by secreting molecules like TNF-␣, IL-6, www.jimmunol.org The Journal of Immunology 6169 and IL-12 as well as reactive oxygen and nitrogen species (8–14). CD11bϪ cell fraction was collected as flow-through during washing of This type 1 immune response is followed at later stage by the the columns with ice-cold MACS buffer. Purity of isolated MCs emergence of M2 and the expansion of Foxp3ϩCD4ϩ regulatory T checked by flow cytometry, on FACSCanto II using the FlowJo pro- gram, always exceeded 95%. cells (Tregs) in type 2 cytokine environment in T. congolense- but not in T. brucei-infected C57BL/6 mice. Moreover, the inability Cytokines and nitrite determination of T. brucei-infected mice to suppress the type 1 immune re- Blood collected by heart puncture on heparin (20 U/ml) was centrifuged sponse correlates with the increased pathogenicity of the dis- (10 000 g, 10 min) and stored at Ϫ80°C. Cytokines were quantified in the ease that results in tissue injury and early death of the host plasma using ELISAs for IFN-␥, IL-10 (Pharmingen), or TNF-␣ (R&D (15–18). Of note, in both T. congolense- and T. brucei-infected Systems) according to the manufacturer’s protocols. NO level was deter- mined by quantifying the accumulation of nitrate and nitrite in plasma as mice, IL-10 is able to avoid the inflammation mediated by in Ref. 13. IFN-␥, including overwhelming activation of M1, that results in destruction of the liver and uncontrolled parasite growth (13, Differential gene expression analysis 17, 18). Since 80% of these extracellular parasites have been Gene expression was analyzed by quantitative real time PCR using the suggested to be cleared from the circulation by liver MCs (19), conditions and primers described in Ref. 2. Results of the PCR analyses these data indicate that IL-10, by reducing the pathogenicity of were normalized against the house-keeping gene S12, in at least two the disease, protects the integrity of the liver and hereby its independent experiments involving at least five mice per condition. trypanosome clearance capacity. Reactive oxygen species (ROS) Considering the essential role of IL-10 in limiting the patho- ROS production was measured using H2DCFDA as a probe. Briefly, cells genicity and, thus, the susceptibility to the infection, the set of 6 ␮ (10 ) were incubated in serum-free DMEM containing 2 MH2DCFDA genes induced in M2 of C57BL/6 mice that are relatively re- (30 min, 37°C), washed twice with excess cold RPMI 1640, and analyzed sistant to T. congolense infection (2) provides a basis for ex- by flow cytometry. ploration of the processes that prevent disease severity in Af- Apoptosis rican trypanosomiasis. Herein, a number of genes that are ␮ 5 inducible by IL-10 in the liver of T. congolense-infected Cells were incubated with FITC-Annexin V (BD Biosciences; 4 l/10 cells, 15 min, room temperature) in binding buffer (10 mM HEPES, 140 C57BL/6 mice were identified. In addition, we demonstrated mM NaCl, and 2.5 mM CaCl2 (pH 7.4)). After washing with binding that one of these M2-associated genes, Sepp1 which codes for buffer, cells were analyzed by flow cytometry. selenoprotein P, is clearly involved in the limitation of the Flow cytometry pathogenicity associated with T. congolense infection and, thus, decreases the impact of the inflammatory immune response on After blocking FcR with 2.4G2 anti-CD16/32 Abs (BD Biosciences), cells 6 the host. were incubated with PE-anti-CD11b Abs (BD Biosciences; 1 ␮g/10 cells, 30 min, 4°C, in the dark). After washing with ice-cold RPMI 1640, cells were analyzed on FACSVantage station (BD Biosciences) Materials and Methods using CellQuest software. Mice, parasites, and infections Alanine aminotransferase (ALT) levels Female wild-type and IL-10 knockout (KO) C57BL/6 mice were purchased by guest on October 1, 2021.
Recommended publications
  • 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,
    [Show full text]
  • Predicting Gene Ontology Biological Process from Temporal Gene Expression Patterns Astrid Lægreid,1,4 Torgeir R
    Methods Predicting Gene Ontology Biological Process From Temporal Gene Expression Patterns Astrid Lægreid,1,4 Torgeir R. Hvidsten,2 Herman Midelfart,2 Jan Komorowski,2,3,4 and Arne K. Sandvik1 1Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, N-7489 Trondheim, Norway; 2Department of Information and Computer Science, Norwegian University of Science and Technology, N-7491 Trondheim, Norway; 3The Linnaeus Centre for Bioinformatics, Uppsala University, SE-751 24 Uppsala, Sweden The aim of the present study was to generate hypotheses on the involvement of uncharacterized genes in biological processes. To this end,supervised learning was used to analyz e microarray-derived time-series gene expression data. Our method was objectively evaluated on known genes using cross-validation and provided high-precision Gene Ontology biological process classifications for 211 of the 213 uncharacterized genes in the data set used. In addition,new roles in biological process were hypothesi zed for known genes. Our method uses biological knowledge expressed by Gene Ontology and generates a rule model associating this knowledge with minimal characteristic features of temporal gene expression profiles. This model allows learning and classification of multiple biological process roles for each gene and can predict participation of genes in a biological process even though the genes of this class exhibit a wide variety of gene expression profiles including inverse coregulation. A considerable number of the hypothesized new roles for known genes were confirmed by literature search. In addition,many biological process roles hypothesi zed for uncharacterized genes were found to agree with assumptions based on homology information.
    [Show full text]
  • DISCLAIMER This Paper Was Submitted to the Bulletin of The
    DISCLAIMER This paper was submitted to the Bulletin of the World Health Organization and was posted to the Zika open site, according to the protocol for public health emergencies for international concern as described in Christopher Dye et al. ( http://dx.doi.org/10.2471/BLT.16.170860 ). The information herein is available for unrestricted use, distribution and reproduction in any medium, provided that the original work is properly cited as indicated by the Creative Commons Attribution 3.0 Intergovernmental Organizations licence (CC BY IGO 3.0). RECOMMENDED CITATION Taylor EW, Ruzicka JA. Antisense inhibition of selenoprotein synthesis by Zika virus may contribute to neurological disorders and microcephaly by mimicking SePP1 knockout and the genetic disease PCCA. [Submitted]. Bull World Health Organ. E-pub: 13 July 2016. doi: http://dx.doi.org/10.2471/BLT.16.182071 Antisense inhibition of selenoprotein synthesis by Zika virus may contribute to neurological disorders and microcephaly by mimicking SePP1 knockout and the genetic disease progressive cerebello-cerebral atrophy a b Ethan Will Taylor & Jan A. Ruzicka aDept. of Chemistry and Biochemistry, University of North Carolina at Greensboro, 435 Patricia A. Sullivan Science Building, PO Box 26170, Greensboro, NC 27402-6170, United States of America bDept. of Basic Pharmaceutical Sciences, Fred Wilson School of Pharmacy, High Point University, One University Parkway, High Point, NC 27268, United States of America Correspondence to Ethan Taylor (email: [email protected] ) (Submitted: 7 July 2016 – Published online: 13 July 2016) Zika-mediated antisense inhibition of selenoprotein synthesis and microcephaly, E.W. Taylor and J.A. Ruzicka, 2016 Abstract Objective: Selenium status plays a major role in health impacts of various RNA viruses.
    [Show full text]
  • Distinct Roles of Selenoproteins in Facilitating Synaptic Plasticity for Learning and Memory
    DISTINCT ROLES OF SELENOPROTEINS IN FACILITATING SYNAPTIC PLASTICITY FOR LEARNING AND MEMORY A DISSERTATION SUBMITTED TO THE GRADUATE DIVISION OF THE UNIVERSITY OF HAWAI‘I AT MĀNOA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY IN CELL AND MOLECULAR BIOLOGY (NEUROSCIENCES) JULY 2017 By Elizabeth Quynh-Mai Dao Nguyen-Wu Dissertation Committee: Marla Berry, Chairperson Frederick Bellinger Robert Nichols Jun Panee Martin Rayner Lon White Keywords: Selenoprotein, Oxidative Stress, Neurodegeneration, Synaptic Plasticity ii TABLE OF CONTENTS Acknowledgments ………………………………………………………………………….…...ii Abstract……………………………………………………………………………….……….....x List of Tables………………………………………………………………………….………….v List of Figures...………………………………………………………………………….………vi List of Abbreviations..…...……………………………………………………………………..viii Chapter I. INTRODUCTION….…...……………………………….……………………………....1 Brief History of Selenoproteins….……...…….……………………..…..……..2 The Selenoprotein Family…….…………….……………………….…..……..4 Selenium Distribution and Synthesis of Selenoproteins….…..…….………10 Selenoproteins in Brain Function……………...….………………………….12 Selenoprotein P………………….…..…...…….………………………..…....13 Selenoprotein M……………....………….…...…………………………..…...16 Selenoproteins P and Selenoprotein M associated with Alzheimer’s Disease Pathology....………………………………………………………….18 Synaptic Plasticity………………...………………………………...…………21 II. GENETIC RESCUE OF SEPP1 IN SELENOPROTEIN P KNOCKOUT MICE Abstract..………….……………………………………………...…………….32 Introduction…..…………………………………………………...……………32 Methods……..……...……………...……………...……………...……………34
    [Show full text]
  • 393LN V 393P 344SQ V 393P Probe Set Entrez Gene
    393LN v 393P 344SQ v 393P Entrez fold fold probe set Gene Gene Symbol Gene cluster Gene Title p-value change p-value change chemokine (C-C motif) ligand 21b /// chemokine (C-C motif) ligand 21a /// chemokine (C-C motif) ligand 21c 1419426_s_at 18829 /// Ccl21b /// Ccl2 1 - up 393 LN only (leucine) 0.0047 9.199837 0.45212 6.847887 nuclear factor of activated T-cells, cytoplasmic, calcineurin- 1447085_s_at 18018 Nfatc1 1 - up 393 LN only dependent 1 0.009048 12.065 0.13718 4.81 RIKEN cDNA 1453647_at 78668 9530059J11Rik1 - up 393 LN only 9530059J11 gene 0.002208 5.482897 0.27642 3.45171 transient receptor potential cation channel, subfamily 1457164_at 277328 Trpa1 1 - up 393 LN only A, member 1 0.000111 9.180344 0.01771 3.048114 regulating synaptic membrane 1422809_at 116838 Rims2 1 - up 393 LN only exocytosis 2 0.001891 8.560424 0.13159 2.980501 glial cell line derived neurotrophic factor family receptor alpha 1433716_x_at 14586 Gfra2 1 - up 393 LN only 2 0.006868 30.88736 0.01066 2.811211 1446936_at --- --- 1 - up 393 LN only --- 0.007695 6.373955 0.11733 2.480287 zinc finger protein 1438742_at 320683 Zfp629 1 - up 393 LN only 629 0.002644 5.231855 0.38124 2.377016 phospholipase A2, 1426019_at 18786 Plaa 1 - up 393 LN only activating protein 0.008657 6.2364 0.12336 2.262117 1445314_at 14009 Etv1 1 - up 393 LN only ets variant gene 1 0.007224 3.643646 0.36434 2.01989 ciliary rootlet coiled- 1427338_at 230872 Crocc 1 - up 393 LN only coil, rootletin 0.002482 7.783242 0.49977 1.794171 expressed sequence 1436585_at 99463 BB182297 1 - up 393
    [Show full text]
  • Tgfβ1 Induces Hypertrophic Change and Expression of Angiogenic Factors in Human Chondrocytes
    www.impactjournals.com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 53), pp: 91316-91327 Research Paper TGFβ1 induces hypertrophic change and expression of angiogenic factors in human chondrocytes Jie-Lin Chen1,2,*, Chang Zou3,4,*, Yunfang Chen1,5, Weimin Zhu1,2, Wei Liu1,2, Jianghong Huang1,2, Qisong Liu1,2, Daming Wang1,2, Li Duan1,2, Jianyi Xiong1,2, Jiaming Cui1,2, Zhaofeng Jia1,2 and Daping Wang1,2 1Shenzhen Key Laboratory of Tissue Engineering, Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen 518035, Guangdong Province, China 2Shenzhen Centre for Sports Medicine and Engineering Technology, Shenzhen 518035, Guangdong Province, China 3Shenzhen Public Service Platform for Cancer Precision Medicine and Molecular Diagnosis, Shenzhen 518020, China 4Clinical Medical Research Center, The Second Clinical Medical College, Shenzhen People’s Hospital, Jinan University, Shenzhen, 518020 China 5The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518035, Guangdong Province, China *These authors have contributed equally to this work Correspondence to: Daping Wang, email: [email protected] Keywords: TGFβ1, chondrocyte, hypertrophy, angiogenesis, DNA microarray Received: March 29, 2017 Accepted: August 04, 2017 Published: August 24, 2017 Copyright: Chen et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT The transforming growth factor β1 (TGFβ1) plays an important role in cartilage development. However, whether TGFβ1 stimulates chondrocyte proliferation and cartilage regeneration in osteoarthritis (OA) remains elusive, especially in the context of different treatment and tissue environments.
    [Show full text]
  • Supplementary Material Localizing Regions in the Genome
    Supplementary Material Localizing regions in the genome contributing to ADHD, aggressive and antisocial behavior Running title: Genetic overlap between ADHD, aggression and antisocial behavior Mariana Lizbeth Rodríguez López1, Barbara Franke1,2*, Marieke Klein1,3 1 Radboud university medical center, Donders Institute for Brain, Cognition and Behaviour, Department of Human Genetics, Nijmegen, The Netherlands 2 Radboud university medical center, Donders Institute for Brain, Cognition and Behaviour, Department of Psychiatry, Nijmegen, The Netherlands 3 University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands Supplementary Tables: 5 Supplementary Figures: 2 Supplementary Table 1 | Category traits from LDHub GWAS-ss database. Category Number of traits Aging 3 Anthropometric 22 Autoimmune 11 Bone 5 Brain Volume 7 Cancer 5 Cardiometabolic 2 Cognitive 1 Education 5 Glycemic 8 Haemotological 3 Hormone 2 Kidney 6 Lipids 4 Lung Function 8 Metabolites 107 Metal 2 Neurological 3 Other 1 Personality 4 Psychiatric 11 Reproductive 4 Sleeping 5 Smoking 4 Behaviour Uric Acid 1 Total 234 A list of all categories from all the traits LDHub platform. We performed genetic correlation analyses for all traits with both AGG and ASB, giving a total of 234 rg scores for each one of our two traits. Supplementary Table 2 | Summary of data from GTEx project (https://gtexportal.org/home/). GTEx - Gene expression in 12 brain-related tissues Anterior Caudate Frontal cingulate (basal Cerebellar Cortex Nucleus Substantia
    [Show full text]
  • Network-Based Analysis of Key Regulatory Genes Implicated in Type
    www.nature.com/scientificreports OPEN Network‑based analysis of key regulatory genes implicated in Type 2 Diabetes Mellitus and Recurrent Miscarriages in Turner Syndrome Anam Farooqui1, Alaa Alhazmi2, Shaful Haque3, Naaila Tamkeen4, Mahboubeh Mehmankhah1, Safa Tazyeen1, Sher Ali5 & Romana Ishrat1* The information on the genotype–phenotype relationship in Turner Syndrome (TS) is inadequate because very few specifc candidate genes are linked to its clinical features. We used the microarray data of TS to identify the key regulatory genes implicated with TS through a network approach. The causative factors of two common co‑morbidities, Type 2 Diabetes Mellitus (T2DM) and Recurrent Miscarriages (RM), in the Turner population, are expected to be diferent from that of the general population. Through microarray analysis, we identifed nine signature genes of T2DM and three signature genes of RM in TS. The power‑law distribution analysis showed that the TS network carries scale‑free hierarchical fractal attributes. Through local‑community‑paradigm (LCP) estimation we fnd that a strong LCP is also maintained which means that networks are dynamic and heterogeneous. We identifed nine key regulators which serve as the backbone of the TS network. Furthermore, we recognized eight interologs functional in seven diferent organisms from lower to higher levels. Overall, these results ofer few key regulators and essential genes that we envisage have potential as therapeutic targets for the TS in the future and the animal models studied here may prove useful in the validation of such targets. Te medical systems and scientists throughout the world are under an unprecedented challenge to meet the medical needs of much of the world’s population that are sufering from chromosomal anomalies.
    [Show full text]
  • Transcriptional Profile of Human Anti-Inflamatory Macrophages Under Homeostatic, Activating and Pathological Conditions
    UNIVERSIDAD COMPLUTENSE DE MADRID FACULTAD DE CIENCIAS QUÍMICAS Departamento de Bioquímica y Biología Molecular I TESIS DOCTORAL Transcriptional profile of human anti-inflamatory macrophages under homeostatic, activating and pathological conditions Perfil transcripcional de macrófagos antiinflamatorios humanos en condiciones de homeostasis, activación y patológicas MEMORIA PARA OPTAR AL GRADO DE DOCTOR PRESENTADA POR Víctor Delgado Cuevas Directores María Marta Escribese Alonso Ángel Luís Corbí López Madrid, 2017 © Víctor Delgado Cuevas, 2016 Universidad Complutense de Madrid Facultad de Ciencias Químicas Dpto. de Bioquímica y Biología Molecular I TRANSCRIPTIONAL PROFILE OF HUMAN ANTI-INFLAMMATORY MACROPHAGES UNDER HOMEOSTATIC, ACTIVATING AND PATHOLOGICAL CONDITIONS Perfil transcripcional de macrófagos antiinflamatorios humanos en condiciones de homeostasis, activación y patológicas. Víctor Delgado Cuevas Tesis Doctoral Madrid 2016 Universidad Complutense de Madrid Facultad de Ciencias Químicas Dpto. de Bioquímica y Biología Molecular I TRANSCRIPTIONAL PROFILE OF HUMAN ANTI-INFLAMMATORY MACROPHAGES UNDER HOMEOSTATIC, ACTIVATING AND PATHOLOGICAL CONDITIONS Perfil transcripcional de macrófagos antiinflamatorios humanos en condiciones de homeostasis, activación y patológicas. Este trabajo ha sido realizado por Víctor Delgado Cuevas para optar al grado de Doctor en el Centro de Investigaciones Biológicas de Madrid (CSIC), bajo la dirección de la Dra. María Marta Escribese Alonso y el Dr. Ángel Luís Corbí López Fdo. Dra. María Marta Escribese
    [Show full text]
  • Peripheral Blood Gene Expression in Alopecia Areata Reveals Molecular Pathways Distinguishing Heritability, Disease and Severity
    Genes and Immunity (2010) 11, 531–541 & 2010 Macmillan Publishers Limited All rights reserved 1466-4879/10 www.nature.com/gene ORIGINAL ARTICLE Peripheral blood gene expression in alopecia areata reveals molecular pathways distinguishing heritability, disease and severity AB Coda, V Qafalijaj Hysa, K Seiffert-Sinha and AA Sinha Center for Investigative Dermatology, Division of Dermatology and Cutaneous Sciences, College of Human Medicine, East Lansing, MI, USA Alopecia areata (AA) is an autoimmune hair loss disorder in which systemic disturbances have been described, but are poorly understood. To evaluate disease mechanisms, we examined gene expression in the blood of defined clinical subgroups (patchy AA persistent type, AAP, n ¼ 5; alopecia universalis, AU, n ¼ 4) and healthy controls (unaffected relatives, UaR, n ¼ 5; unaffected non-relatives, UaNR, n ¼ 4) using microarrays. Unsupervised hierarchical clustering separates all four patient and control groups, producing three distinct expression patterns reflective of ‘inheritance’, ‘disease’ and ‘severity’ signatures. Functional classification of differentially expressed genes (DEGs) comparing disease (AAP, AU) vs normal (UaR) groups reveals upregulation in immune response, cytokine signaling, signal transduction, cell cycle, proteolysis and cell adhesion- related genes. Pathway analysis further reveals the activation of several genes related to natural killer-cell cytotoxicity, apoptosis, mitogen activated protein kinase, Wnt signaling and B- and T-cell receptor signaling in AA patients. Finally, 35 genes differentially expressed in AA blood overlap with DEGs previously identified in AA skin lesions. Our results implicate innate and adaptive immune processes while also revealing novel pathways, such as Wnt signaling and apoptosis, relevant to AA pathogenesis. Our data suggest that peripheral blood expression profiles of AA patients likely carry new biomarkers associated with disease susceptibility and expression.
    [Show full text]
  • Lncrna DLEU2 Acts As a Mir-181A Sponge Regulated SEPP1 (May As
    bioRxiv preprint doi: https://doi.org/10.1101/2020.04.15.025304; this version posted April 16, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. lncRNA DLEU2 acts as a miR-181a sponge regulated SEPP1 (may as a biomarker for sarcopenia) to inhibit skeletal muscle differentiation and regeneration Running title: DLEU2 as a sponge of mir-181 regulates SEPP1 Yao Wang1,#, Xue-ran Kang2,#, Yisheng Chen1,* #These authors contributed equally to this work. 1Department of Orthopedics, Jinshan Hospital of Fundan University. 2Department of Otolaryngology-Head and Neck Surgery, Shanghai ninth people’s Hospital,Shanghai Jiao Tong University School of Medicine; Ear Institute, Shanghai Jiao Tong University School of Medicine. Corresponding Author Yisheng Chen Department of orthopedics, Jinshan Hospital of Fundan University, Shanghai Jiao Tong University School of Medicine. No.1508 Longhang Road, Jinshan District, Shanghai. Tel: +8618330103207 Email: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.04.15.025304; this version posted April 16, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abbreviations bone mineral density (BMD); biological processes (BPs); cellular components (CCs); competing endogenous RNA(ceRNA); confidence intervals (CIs) ; differentially expressed micro-RNAs (DE-miRNAs);differentially
    [Show full text]
  • Primepcr™Assay Validation Report
    PrimePCR™Assay Validation Report Gene Information Gene Name selenoprotein P, plasma, 1 Gene Symbol SEPP1 Organism Human Gene Summary This gene encodes a selenoprotein containing multiple selenocysteine (Sec) residues which are encoded by the UGA codon that normally signals translation termination. The 3' UTR of selenoprotein genes have a common stem-loop structure the sec insertion sequence (SECIS) which is necessary for the recognition of UGA as a Sec codon rather than as a stop signal. This selenoprotein is an extracellular glycoprotein and is unusual in that it contains 10 Sec residues per polypeptide. It is a heparin-binding protein that appears to be associated with endothelial cells and has been implicated to function as an antioxidant in the extracellular space. Several transcript variants encoding either the same or different isoform have been found for this gene. Gene Aliases SELP, SeP RefSeq Accession No. NC_000005.9, NT_006576.16 UniGene ID Hs.703732 Ensembl Gene ID ENSG00000250722 Entrez Gene ID 6414 Assay Information Unique Assay ID qHsaCID0021902 Assay Type SYBR® Green Detected Coding Transcript(s) ENST00000514985, ENST00000511224, ENST00000506577, ENST00000514218, ENST00000510965 Amplicon Context Sequence CTTATTCTTAAGATGTGTGTATTTTAATCGAGAAGAGATTCCTTGATGATTAACAA CAATATAAGAAATATTAGAATATCCTTCTTTCTTCAGTTTTACTCGCAGGTCTTCTA ATTTAGATGCCTGCAGTATGCACAGGTATCAGCTGGCTTGAAGAAGAGCAACCA CAGTCA Amplicon Length (bp) 143 Chromosome Location 5:42807096-42808310 Assay Design Intron-spanning Purification Desalted Validation Results Efficiency
    [Show full text]