A Role of Ubiquitin Regulatory X-Domain Containing Proteins (UBXN6) in Antiviral Immunity

Total Page:16

File Type:pdf, Size:1020Kb

A Role of Ubiquitin Regulatory X-Domain Containing Proteins (UBXN6) in Antiviral Immunity Touro Scholar NYMC Student Theses and Dissertations Students 8-31-2019 A Role of Ubiquitin Regulatory X-Domain Containing Proteins (UBXN6) in Antiviral Immunity Harshada Ketkar Harshada Ketkar New York Medical College Follow this and additional works at: https://touroscholar.touro.edu/nymc_students_theses Part of the Immunology of Infectious Disease Commons, Medicine and Health Sciences Commons, and the Virology Commons Recommended Citation Ketkar, Harshada and Ketkar, Harshada, "A Role of Ubiquitin Regulatory X-Domain Containing Proteins (UBXN6) in Antiviral Immunity" (2019). NYMC Student Theses and Dissertations. 24. https://touroscholar.touro.edu/nymc_students_theses/24 This Doctoral Dissertation - Open Access is brought to you for free and open access by the Students at Touro Scholar. It has been accepted for inclusion in NYMC Student Theses and Dissertations by an authorized administrator of Touro Scholar. For more information, please contact [email protected]. A Role of Ubiquitin Regulatory X-Domain Containing Proteins (UBXN6) in Antiviral Immunity Harshada Ketkar A Thesis in the Program in Basic Medical Sciences Submitted to the Faculty of the Graduate School of Basic Medical Sciences in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy at New York Medical College 2019 ii Acknowledgments I want to thank my mentor Dr. Penghua Wang for all his help, encouragement and guidance. I thank him for his thoughtful suggestions in science and life. The completion of my Ph.D. would not have been possible without his support. Most importantly I thank him for having trust in me and building my confidence. Thanks to my committee! I thank, Dr. Bakshi for his invaluable guidance and feedback that helped shape this thesis into its final form. I thank him for the encouragement and kindness. I thank Dr. Bucher for providing her expertise in Virology field. Thanks, Dr. Xu for providing insights into the mechanistic study. Thanks, Dr. Colpitas for providing valuable advice of completion of one figure at a time. I sincerely thank Dr. Tiwari, Program Director for his guidance and support throughout the course. I also sincerely appreciate Dr. Belloni, former Dean of Graduate School for his involvement in my academic progress. I am thankful to Dr. Holz, Dean of graduate school for encouragement during the completion of my thesis. I want to thank my parents, brothers, and friends for supporting me in my desire to pursue my dreams. Most deeply thank my husband, daughter, and son for sharing their time unconditional and for all the years of bestowing encouragement, patience, and love. iii Table of Contents Acknowledgments ............................................................................................................................. iii List of Tables ...................................................................................................................................... vi List of Figures and illustrations ......................................................................................................... vii Abbreviations................................................................................................................................... viii Abstract ............................................................................................................................................ xiv 1 Introduction and Background: .................................................................................................... 1 1.1 Pathogen pattern recognition receptors ............................................................................ 2 1.1.1 The RLR pathway ........................................................................................................ 4 1.2 Interferon response .......................................................................................................... 13 1.2.1 Interferon types and receptors ................................................................................ 13 1.2.2 Interferon response- JAK-STAT pathway .................................................................. 17 1.3 UBXNs ............................................................................................................................... 26 1.3.1 UBXN1 ....................................................................................................................... 28 1.3.2 UBXN2A .................................................................................................................... 30 1.3.3 UBXN2B..................................................................................................................... 31 1.3.4 UBXN3A .................................................................................................................... 32 1.3.5 UBXN3B..................................................................................................................... 34 1.3.6 UBXN4 ....................................................................................................................... 35 1.3.7 UBXN6 ....................................................................................................................... 36 1.3.8 UBXN7 ....................................................................................................................... 40 1.3.9 UBXN8 ....................................................................................................................... 41 1.3.10 UBXN9 ....................................................................................................................... 41 1.3.11 UBXN10 ..................................................................................................................... 42 1.3.12 UBXN11 ..................................................................................................................... 43 1.3.13 p47 ............................................................................................................................ 43 2 Materials and methods ............................................................................................................ 49 2.1 Materials ........................................................................................................................... 49 2.1.1 Cell lines .................................................................................................................... 49 2.1.2 Viruses ...................................................................................................................... 49 2.1.3 Plasmid construction ................................................................................................ 50 iv 2.1.4 Ligand treatment conditions .................................................................................... 50 2.1.5 Lipofectamine transfection protocol ........................................................................ 50 2.1.6 Virus infection conditions ......................................................................................... 51 2.2 Methods ........................................................................................................................... 52 2.2.1 Dual-Luciferase reporter assay ................................................................................. 52 2.2.2 Biochemical Assay for IFN-I bioavailability ............................................................... 55 2.2.3 Generation of gene knockout cell lines with CRISPR-Cas9 technology .................... 56 2.2.4 Reverse transcription and quantitative PCR (qPCR) ................................................. 65 2.2.5 PCR array of human IFN-I Response ......................................................................... 67 2.2.6 ELISA (enzyme-linked immunosorbent assay) .......................................................... 72 2.2.7 Immunoblotting ........................................................................................................ 73 2.2.8 Co-immunoprecipitation. ......................................................................................... 75 2.2.9 Quantification of infectious viral particles by Plaque-forming assay ....................... 78 2.2.10 RNA Interference by siRNA ....................................................................................... 78 2.3 Graphing and statistics ..................................................................................................... 79 3 Aims .......................................................................................................................................... 80 4 Results ...................................................................................................................................... 83 4.1 Aim 1: To identify a member of UBXN proteins as a positive regulator of RNA virus- induced innate immune responses. ............................................................................................. 84 4.2 Aim 2: To characterize the function of UBXN6 in viral pathogenesis and host innate immune responses. ...................................................................................................................... 91 4.2.1 Sub-aim 2.1: To determine the role of UBXN6 in host immune responses by siRNA knockdown of UBXN6. .............................................................................................................. 91 4.2.2 Sub-aim 2.2: To generate UBXN6 knockout in HEK293 and trophoblast cells by CRISPR-Cas9 technology and to examine
Recommended publications
  • Supplemental Information to Mammadova-Bach Et Al., “Laminin Α1 Orchestrates VEGFA Functions in the Ecosystem of Colorectal Carcinogenesis”
    Supplemental information to Mammadova-Bach et al., “Laminin α1 orchestrates VEGFA functions in the ecosystem of colorectal carcinogenesis” Supplemental material and methods Cloning of the villin-LMα1 vector The plasmid pBS-villin-promoter containing the 3.5 Kb of the murine villin promoter, the first non coding exon, 5.5 kb of the first intron and 15 nucleotides of the second villin exon, was generated by S. Robine (Institut Curie, Paris, France). The EcoRI site in the multi cloning site was destroyed by fill in ligation with T4 polymerase according to the manufacturer`s instructions (New England Biolabs, Ozyme, Saint Quentin en Yvelines, France). Site directed mutagenesis (GeneEditor in vitro Site-Directed Mutagenesis system, Promega, Charbonnières-les-Bains, France) was then used to introduce a BsiWI site before the start codon of the villin coding sequence using the 5’ phosphorylated primer: 5’CCTTCTCCTCTAGGCTCGCGTACGATGACGTCGGACTTGCGG3’. A double strand annealed oligonucleotide, 5’GGCCGGACGCGTGAATTCGTCGACGC3’ and 5’GGCCGCGTCGACGAATTCACGC GTCC3’ containing restriction site for MluI, EcoRI and SalI were inserted in the NotI site (present in the multi cloning site), generating the plasmid pBS-villin-promoter-MES. The SV40 polyA region of the pEGFP plasmid (Clontech, Ozyme, Saint Quentin Yvelines, France) was amplified by PCR using primers 5’GGCGCCTCTAGATCATAATCAGCCATA3’ and 5’GGCGCCCTTAAGATACATTGATGAGTT3’ before subcloning into the pGEMTeasy vector (Promega, Charbonnières-les-Bains, France). After EcoRI digestion, the SV40 polyA fragment was purified with the NucleoSpin Extract II kit (Machery-Nagel, Hoerdt, France) and then subcloned into the EcoRI site of the plasmid pBS-villin-promoter-MES. Site directed mutagenesis was used to introduce a BsiWI site (5’ phosphorylated AGCGCAGGGAGCGGCGGCCGTACGATGCGCGGCAGCGGCACG3’) before the initiation codon and a MluI site (5’ phosphorylated 1 CCCGGGCCTGAGCCCTAAACGCGTGCCAGCCTCTGCCCTTGG3’) after the stop codon in the full length cDNA coding for the mouse LMα1 in the pCIS vector (kindly provided by P.
    [Show full text]
  • 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.
    [Show full text]
  • (Ubl-Ptms): Small Peptides with Huge Impact in Liver Fibrosis
    cells Review Ubiquitin-Like Post-Translational Modifications (Ubl-PTMs): Small Peptides with Huge Impact in Liver Fibrosis 1 1, 1, Sofia Lachiondo-Ortega , Maria Mercado-Gómez y, Marina Serrano-Maciá y , Fernando Lopitz-Otsoa 2, Tanya B Salas-Villalobos 3, Marta Varela-Rey 1, Teresa C. Delgado 1,* and María Luz Martínez-Chantar 1 1 Liver Disease Lab, CIC bioGUNE, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), 48160 Derio, Spain; [email protected] (S.L.-O.); [email protected] (M.M.-G.); [email protected] (M.S.-M.); [email protected] (M.V.-R.); [email protected] (M.L.M.-C.) 2 Liver Metabolism Lab, CIC bioGUNE, 48160 Derio, Spain; fl[email protected] 3 Department of Biochemistry and Molecular Medicine, School of Medicine, Autonomous University of Nuevo León, Monterrey, Nuevo León 66450, Mexico; [email protected] * Correspondence: [email protected]; Tel.: +34-944-061318; Fax: +34-944-061301 These authors contributed equally to this work. y Received: 6 November 2019; Accepted: 1 December 2019; Published: 4 December 2019 Abstract: Liver fibrosis is characterized by the excessive deposition of extracellular matrix proteins including collagen that occurs in most types of chronic liver disease. Even though our knowledge of the cellular and molecular mechanisms of liver fibrosis has deeply improved in the last years, therapeutic approaches for liver fibrosis remain limited. Profiling and characterization of the post-translational modifications (PTMs) of proteins, and more specifically NEDDylation and SUMOylation ubiquitin-like (Ubls) modifications, can provide a better understanding of the liver fibrosis pathology as well as novel and more effective therapeutic approaches.
    [Show full text]
  • Physical and Linkage Mapping of Mammary-Derived Expressed Sequence Tags in Cattle
    Genomics 83 (2004) 148–152 www.elsevier.com/locate/ygeno Physical and linkage mapping of mammary-derived expressed sequence tags in cattle E.E. Connor,a,* T.S. Sonstegard,a J.W. Keele,b G.L. Bennett,b J.L. Williams,c R. Papworth,c C.P. Van Tassell,a and M.S. Ashwella a U.S. Beltsville Agricultural Research Center, ARS, U.S. Department of Agriculture, 10300 Baltimore Avenue, Beltsville, MD 20705, USA b U.S. Meat Animal Research Center, ARS, U.S. Department of Agriculture, P.O. Box 166, Clay Center, NE 68933-0166, USA c Roslin Institute (Edinburgh), Roslin, Midlothian EH25 9PS, Scotland, United Kingdom Received 2 June 2003; accepted 5 July 2003 Abstract This study describes the physical and linkage mapping of 42 gene-associated markers developed from mammary gland-derived expressed sequence tags to the cattle genome. Of the markers, 25 were placed on the USDA reference linkage map and 37 were positioned on the Roslin 3000-rad radiation hybrid (RH) map, with 20 assignments shared between the maps. Although no novel regions of conserved synteny between the cattle and the human genomes were identified, the coverage was extended for bovine chromosomes 3, 7, 15, and 29 compared with previously published comparative maps between human and bovine genomes. Overall, these data improve the resolution of the human–bovine comparative maps and will assist future efforts to integrate bovine RH and linkage map data. Crown Copyright D 2003 Published by Elsevier Inc. All rights reserved. Keywords: RH mapping; Linkage mapping; SNP; Cattle; EST Selection of positional candidate genes controlling eco- pig [4,5], and cattle [6], and serve as a resource for nomically important traits in cattle requires a detailed candidate gene identification.
    [Show full text]
  • Anti-UBXN11 Monoclonal Antibody, Clone 2C20 (DCABH-13904) This Product Is for Research Use Only and Is Not Intended for Diagnostic Use
    Anti-UBXN11 monoclonal antibody, clone 2C20 (DCABH-13904) This product is for research use only and is not intended for diagnostic use. PRODUCT INFORMATION Antigen Description This gene encodes a protein with a divergent C-terminal UBX domain. The homologous protein in the rat interacts with members of the Rnd subfamily of Rho GTPases at the cell periphery through its C-terminal region. It also interacts with several heterotrimeric G proteins through their G-alpha subunits and promotes Rho GTPase activation. It is proposed to serve a bidirectional role in the promotion and inhibition of Rho activity through upstream signaling pathways. The 3 coding sequence of this gene contains a polymoprhic region of 24 nt tandem repeats. Several transcripts containing between 1.5 and five repeat units have been reported. Multiple transcript variants encoding different isoforms have been found for this gene. Immunogen UBXN11 (NP_663320.1, 311 a.a. ~ 409 a.a) partial recombinant protein with GST tag. MW of the GST tag alone is 26 KDa. Isotype IgG2a Source/Host Mouse Species Reactivity Human Clone 2C20 Conjugate Unconjugated Applications Western Blot (Recombinant protein); Immunofluorescence; Sandwich ELISA (Recombinant protein); ELISA Sequence Similarities QGEVIDIRGPIRDTLQNCCPLPARIQEIVVETPTLAAERERSQESPNTPAPPLSMLRIKSENGEQA FLLMMQPDNTIGDVRALLAQARVMDASAFEIFS Size 1 ea Buffer In 1x PBS, pH 7.4 Preservative None Storage Store at -20°C or lower. Aliquot to avoid repeated freezing and thawing. 45-1 Ramsey Road, Shirley, NY 11967, USA Email: [email protected]
    [Show full text]
  • 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
    [Show full text]
  • (P -Value<0.05, Fold Change≥1.4), 4 Vs. 0 Gy Irradiation
    Table S1: Significant differentially expressed genes (P -Value<0.05, Fold Change≥1.4), 4 vs. 0 Gy irradiation Genbank Fold Change P -Value Gene Symbol Description Accession Q9F8M7_CARHY (Q9F8M7) DTDP-glucose 4,6-dehydratase (Fragment), partial (9%) 6.70 0.017399678 THC2699065 [THC2719287] 5.53 0.003379195 BC013657 BC013657 Homo sapiens cDNA clone IMAGE:4152983, partial cds. [BC013657] 5.10 0.024641735 THC2750781 Ciliary dynein heavy chain 5 (Axonemal beta dynein heavy chain 5) (HL1). 4.07 0.04353262 DNAH5 [Source:Uniprot/SWISSPROT;Acc:Q8TE73] [ENST00000382416] 3.81 0.002855909 NM_145263 SPATA18 Homo sapiens spermatogenesis associated 18 homolog (rat) (SPATA18), mRNA [NM_145263] AA418814 zw01a02.s1 Soares_NhHMPu_S1 Homo sapiens cDNA clone IMAGE:767978 3', 3.69 0.03203913 AA418814 AA418814 mRNA sequence [AA418814] AL356953 leucine-rich repeat-containing G protein-coupled receptor 6 {Homo sapiens} (exp=0; 3.63 0.0277936 THC2705989 wgp=1; cg=0), partial (4%) [THC2752981] AA484677 ne64a07.s1 NCI_CGAP_Alv1 Homo sapiens cDNA clone IMAGE:909012, mRNA 3.63 0.027098073 AA484677 AA484677 sequence [AA484677] oe06h09.s1 NCI_CGAP_Ov2 Homo sapiens cDNA clone IMAGE:1385153, mRNA sequence 3.48 0.04468495 AA837799 AA837799 [AA837799] Homo sapiens hypothetical protein LOC340109, mRNA (cDNA clone IMAGE:5578073), partial 3.27 0.031178378 BC039509 LOC643401 cds. [BC039509] Homo sapiens Fas (TNF receptor superfamily, member 6) (FAS), transcript variant 1, mRNA 3.24 0.022156298 NM_000043 FAS [NM_000043] 3.20 0.021043295 A_32_P125056 BF803942 CM2-CI0135-021100-477-g08 CI0135 Homo sapiens cDNA, mRNA sequence 3.04 0.043389246 BF803942 BF803942 [BF803942] 3.03 0.002430239 NM_015920 RPS27L Homo sapiens ribosomal protein S27-like (RPS27L), mRNA [NM_015920] Homo sapiens tumor necrosis factor receptor superfamily, member 10c, decoy without an 2.98 0.021202829 NM_003841 TNFRSF10C intracellular domain (TNFRSF10C), mRNA [NM_003841] 2.97 0.03243901 AB002384 C6orf32 Homo sapiens mRNA for KIAA0386 gene, partial cds.
    [Show full text]
  • Literature Mining Sustains and Enhances Knowledge Discovery from Omic Studies
    LITERATURE MINING SUSTAINS AND ENHANCES KNOWLEDGE DISCOVERY FROM OMIC STUDIES by Rick Matthew Jordan B.S. Biology, University of Pittsburgh, 1996 M.S. Molecular Biology/Biotechnology, East Carolina University, 2001 M.S. Biomedical Informatics, University of Pittsburgh, 2005 Submitted to the Graduate Faculty of School of Medicine in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Pittsburgh 2016 UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE This dissertation was presented by Rick Matthew Jordan It was defended on December 2, 2015 and approved by Shyam Visweswaran, M.D., Ph.D., Associate Professor Rebecca Jacobson, M.D., M.S., Professor Songjian Lu, Ph.D., Assistant Professor Dissertation Advisor: Vanathi Gopalakrishnan, Ph.D., Associate Professor ii Copyright © by Rick Matthew Jordan 2016 iii LITERATURE MINING SUSTAINS AND ENHANCES KNOWLEDGE DISCOVERY FROM OMIC STUDIES Rick Matthew Jordan, M.S. University of Pittsburgh, 2016 Genomic, proteomic and other experimentally generated data from studies of biological systems aiming to discover disease biomarkers are currently analyzed without sufficient supporting evidence from the literature due to complexities associated with automated processing. Extracting prior knowledge about markers associated with biological sample types and disease states from the literature is tedious, and little research has been performed to understand how to use this knowledge to inform the generation of classification models from ‘omic’ data. Using pathway analysis methods to better understand the underlying biology of complex diseases such as breast and lung cancers is state-of-the-art. However, the problem of how to combine literature- mining evidence with pathway analysis evidence is an open problem in biomedical informatics research.
    [Show full text]
  • Inaugural-Dissertation Zur Erlangung Der Doktorwürde Der Naturwissenschaftlich-Mathematischen Gesamtfakultät Der Ruprecht-Kar
    Inaugural-Dissertation zur Erlangung der Doktorwürde der Naturwissenschaftlich-Mathematischen Gesamtfakultät der Ruprecht-Karls-Universität Heidelberg vorgelegt von Diplom-Biochemiker Stefan Knoth Tag der mündlichen Prüfung: 25.07.2006 Titel der Arbeit: Regulation der Genexpression bei der Erythroiden Differenzierung Gutachter: Prof. Dr. Stefan Wölfl, Universität Heidelberg Prof. Dr. Katharina Pachmann, Universität Jena Prof. Dr. Jürgen Reichling Prof. Dr. Ulrich Hilgenfeldt Zusammenfassung Viele Erkrankungen des blutbildenden Systems, insbesondere Leukämien, haben ihre Ursache in einer Störung der Differenzierungvorgänge, die ausgehend von undifferenzierten Stammzellen des Knochenmarks zu allen Arten von hochspezialisierten Blutzellen führen. Bei der Chronischen Myeloischen Leukämie (CML) im Stadium der Blastenkrise kommt es zu einer unkontrollierten Vermehrung unreifer Blasten. Alle Chronischen Myeloischen Leukämien exprimieren dass Fusionsprotein BCR-ABL welches aus der Translokation t(9;22)(q34;q11) resultiert. BCR-ABL ist eine konstitutiv aktive Proteinkinase und stimuliert die Zellen zu unkontrolliertem Wachstum. Es ist bekannt, dass sich bei transformierten Zellen mit verschiedenen Substanzen wie AraC oder Butyrat die Proliferation unterdrücken und eine weitere Differenzierung induzieren lässt. Daher werden diese Substanzen oder ihre Derivate als Therapeutika eingesetzt bzw. als solche erprobt. Bei CML-Zellen geht man davon aus, dass durch die genannten Chemikalien die Differenzierung in Richtung der erythroiden Reihe stimuliert wird, da verstärkt Hämoglobine synthetisiert werden. Wegen ihrer einfachen Handhabung in Kultur wurden diese Zellsysteme in der Vergangenheit häufig als Modelle zur Untersuchung der erythroiden Differenzierung verwendet. Die therapeutikastimulierte erythroide Differenzierung von CML-Zellen ist also in zweierlei Hinsicht interessant, einerseits aus medizinischer Sicht zur Bewertung der Vorgänge im behandelten Patienten und andererseits hinsichtlich der Eignung dieser Systeme als Modelle zur Erforschung der Erythropoese.
    [Show full text]
  • Ubiquitin-Dependent Regulation of the WNT Cargo Protein EVI/WLS Handelt Es Sich Um Meine Eigenständig Erbrachte Leistung
    DISSERTATION submitted to the Combined Faculty of Natural Sciences and Mathematics of the Ruperto-Carola University of Heidelberg, Germany for the degree of Doctor of Natural Sciences presented by Lucie Magdalena Wolf, M.Sc. born in Nuremberg, Germany Date of oral examination: 2nd February 2021 Ubiquitin-dependent regulation of the WNT cargo protein EVI/WLS Referees: Prof. Dr. Michael Boutros apl. Prof. Dr. Viktor Umansky If you don’t think you might, you won’t. Terry Pratchett This work was accomplished from August 2015 to November 2020 under the supervision of Prof. Dr. Michael Boutros in the Division of Signalling and Functional Genomics at the German Cancer Research Center (DKFZ), Heidelberg, Germany. Contents Contents ......................................................................................................................... ix 1 Abstract ....................................................................................................................xiii 1 Zusammenfassung .................................................................................................... xv 2 Introduction ................................................................................................................ 1 2.1 The WNT signalling pathways and cancer ........................................................................ 1 2.1.1 Intercellular communication ........................................................................................ 1 2.1.2 WNT ligands are conserved morphogens .................................................................
    [Show full text]
  • Genomic and Transcriptomic Investigations Into the Feed Efficiency Phenotype of Beef Cattle
    Provided by the author(s) and NUI Galway in accordance with publisher policies. Please cite the published version when available. Title Genomic and transcriptomic investigations into the feed efficiency phenotype of beef cattle Author(s) Higgins, Marc Publication Date 2019-03-06 Publisher NUI Galway Item record http://hdl.handle.net/10379/15008 Downloaded 2021-09-25T18:07:39Z Some rights reserved. For more information, please see the item record link above. Genomic and Transcriptomic Investigations into the Feed Efficiency Phenotype of Beef Cattle Marc Higgins, B.Sc., M.Sc. A thesis submitted for the Degree of Doctor of Philosophy to the Discipline of Biochemistry, School of Natural Sciences, National University of Ireland, Galway. Supervisor: Dr. Derek Morris Discipline of Biochemistry, School of Natural Sciences, National University of Ireland, Galway. Supervisor: Dr. Sinéad Waters Teagasc, Animal and Bioscience Research Department, Animal & Grassland Research and Innovation Centre, Teagasc, Grange. Submitted November 2018 Table of Contents Declaration ................................................................................................................ vii Funding .................................................................................................................... viii Acknowledgements .................................................................................................... ix Abstract ......................................................................................................................
    [Show full text]
  • WO 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T
    (12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T (51) International Patent Classification: David [US/US]; 13539 N . 95th Way, Scottsdale, AZ C12Q 1/68 (2006.01) 85260 (US). (21) International Application Number: (74) Agent: AKHAVAN, Ramin; Caris Science, Inc., 6655 N . PCT/US20 12/0425 19 Macarthur Blvd., Irving, TX 75039 (US). (22) International Filing Date: (81) Designated States (unless otherwise indicated, for every 14 June 2012 (14.06.2012) kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, English (25) Filing Language: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, Publication Language: English DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, (30) Priority Data: KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, 61/497,895 16 June 201 1 (16.06.201 1) US MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, 61/499,138 20 June 201 1 (20.06.201 1) US OM, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SC, SD, 61/501,680 27 June 201 1 (27.06.201 1) u s SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, 61/506,019 8 July 201 1(08.07.201 1) u s TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW.
    [Show full text]