Characterization of Human Macroh2a Through Gene Targeting Shawn C

Total Page:16

File Type:pdf, Size:1020Kb

Characterization of Human Macroh2a Through Gene Targeting Shawn C Florida State University Libraries Electronic Theses, Treatises and Dissertations The Graduate School 2014 Characterization of Human MacroH2A Through Gene Targeting Shawn C. Moseley Follow this and additional works at the FSU Digital Library. For more information, please contact [email protected] FLORIDA STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES CHARACTERIZATION OF HUMAN MACROH2A THROUGH GENE TARGETING By SHAWN C. MOSELEY A Thesis submitted to the Department of Biological Science in partial fulfillment of the requirements for the degree of Master of Science Degree Awarded: Spring Semester, 2014 Shawn C. Moseley defended this thesis on March 31, 2014. The members of the supervisory committee were: Brian Chadwick Professor Directing Thesis Jonathan Dennis Committee Member Karen McGinnis Committee Member The Graduate School has verified and approved the above-named committee members and certifies that the thesis has been approved in accordance with university requirements. ii ACKNOWLEDGMENTS I would like to thank my advisor Dr. Brian Chadwick, as well as Dr. Jonathan Dennis and Dr. Karen McGinnis for their advice, assistance, and support. I would also like to thank all of the members of the Chadwick lab, past and present, for their support. iii TABLE OF CONTENTS List of Tables ............................................................................................................................. vi List of Figures ...........................................................................................................................vii Abstract ..................................................................................................................................... ix INTRODUCTION AND BACKGROUND ................................................................................. 1 GENERATING RESOURCES FOR GENOME ENGINEERING ............................................... 3 Introduction ........................................................................................................................ 3 Generating Zinc Finger Nucleases (ZFNs) .......................................................................... 4 Generating Constructs ......................................................................................................... 8 Methods ............................................................................................................................ 11 TARGETING MACROH2A1 AND MACROH2A2 ................................................................. 13 Targeting MacroH2A1 ...................................................................................................... 13 Targeting MacroH2A2 ...................................................................................................... 18 Targeting MacroH2A2 with TALENs ............................................................................... 19 Retargeting MacroH2A1 ................................................................................................... 22 Methods ............................................................................................................................ 26 EXPRESSION ANALYSIS OF MACROH2A1 KNOCKOUTS ............................................... 30 Expression Analysis of Clone-8 ........................................................................................ 30 Expression Analysis of Clone-21 ...................................................................................... 35 Expression Analysis of Clone-64 ...................................................................................... 45 Methods ............................................................................................................................ 48 TRANSGENE RESCUE OF MACROH2A1............................................................................. 50 Generating Clone-21 Derived MacroH2A1 Rescues .......................................................... 50 Generating Clone-64 Derived MacroH2A1 Rescues .......................................................... 53 Methods ............................................................................................................................ 53 CHROMATIN ANALYSIS IN MACROH2A1 MUTANTS ..................................................... 57 Chromatin Immunoprecipitation of CCL2 ......................................................................... 57 Analysis of the Inactive X Chromosome by Immunofluorescence and FISH ..................... 58 Methods ............................................................................................................................ 62 CONCLUSIONS AND DISCUSSION ...................................................................................... 70 APPENDIX .............................................................................................................................. 72 iv A. PRIMERS ......................................................................................................................... 72 REFERENCES ......................................................................................................................... 75 BIOGRAPHICAL SKETCH ..................................................................................................... 79 v LIST OF TABLES 1 Genes of Interest – Set 1. ............................................................................................... 32 2 Summary of Quantitative RT-PCR Trends for MacroH2A1 Knockouts Compared to RNAseq ......................................................................................................................... 34 3 Genes of Interest – Set 2 ................................................................................................ 34 4 Summary of Quantitative RT-PCR Trends for all MacroH2A1 Targets Compared to RNAseq ......................................................................................................................... 37 5 Genes of Interest – Set 3 ................................................................................................ 37 6 Summary of Quantitative RT-PCR Trends for MacroH2A1 Clone-21 Compared to Microarray. .................................................................................................................... 38 7 Genes of Interest – Set 4 ................................................................................................ 39 8 Summary of RT-PCR Trends for Gene Set 4 ................................................................. 39 9 Gene Expression Changes Comparing Different Passage Controls to Clone-21 .............. 41 10 Genes of Interest – Set 5 ................................................................................................ 42 11 Summary of RT-PCR Trends for Gene Set 5 ................................................................. 43 12 Genes of Interest – Set 6 ................................................................................................ 44 vi LIST OF FIGURES 1 MacroH2A ZFN Luciferase Assays ................................................................................. 6 2 MacroH2A2 ZFN T7EI Assay ......................................................................................... 7 3 MacroH2A1 (Site 2) Homology Mediated Repair Assay .................................................. 8 4 Structure of the Synthetic Exon Promoter Trap Plasmid (pSEPT) .................................... 9 5 Schematic Illustration of the MacroH2A1 Targeting Strategy ........................................ 10 6 MacroH2A1 Targeting Screen ....................................................................................... 14 7 Sequence Analysis of NHEJ Induced Mutation of MacroH2A1 Exon-2 ......................... 15 8 Anti-macroH2A1 Immunofluorescence ......................................................................... 16 9 Western Blot Analysis of MacroH2A1 Knockouts ......................................................... 17 10 Quantitative RT-PCR Analysis of MacroH2A1 Knockouts ............................................ 17 11 Potential MacroH2A2 Exon-2 Start Sites ....................................................................... 19 12 MacroH2A2 TALEN FLASH Assembly ....................................................................... 20 13 MacroH2A2 TALEN Cut Assays................................................................................... 21 14 MacroH2A1 Retargeting Screen .................................................................................... 22 15 Quantitative RT-PCR Analysis of New MacroH2A1 Knockout ..................................... 23 16 Additional Western Blots of MacroH2A1 Knockouts .................................................... 24 17 Anti-macroH2A2 Immunofluorescence ......................................................................... 25 18 MacroH2A1 Sequence Alignment ................................................................................. 30 19 Scatter Plot of Gene Expression Changes in MacroH2A1 Knockout .............................. 31 20 Quantitative RT-PCR Analysis on Genes of Interest – Set 1 .......................................... 33 21 Quantitative RT-PCR Analysis on Genes of Interest – Set 2 .......................................... 36 22 Quantitative RT-PCR Analysis on Genes of Interest – Set 3 .......................................... 38 vii 23 RT-PCR Analysis on Genes of Interest – Set 4 .............................................................. 39 24
Recommended publications
  • Attractor Molecular Signatures and Their Applications for Prognostic Biomarkers Wei-Yi Cheng
    Attractor Molecular Signatures and Their Applications for Prognostic Biomarkers Wei-Yi Cheng Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy of the Graduate School of Arts and Science COLUMBIA UNIVERSITY 2014 c 2013 Wei-Yi Cheng All rights reserved ABSTRACT Attractor Molecular Signatures and Their Applications for Prognostic Biomarkers Wei-Yi Cheng This dissertation presents a novel data mining algorithm identifying molecular sig- natures, called attractor metagenes, from large biological data sets. It also presents a computational model for combining such signatures to create prognostic biomarkers. Us- ing the algorithm on multiple cancer data sets, we identified three such gene co-expression signatures that are present in nearly identical form in different tumor types represent- ing biomolecular events in cancer, namely mitotic chromosomal instability, mesenchymal transition, and lymphocyte infiltration. A comprehensive experimental investigation us- ing mouse xenograft models on the mesenchymal transition attractor metagene showed that the signature was expressed in the human cancer cells, but not in the mouse stroma. The attractor metagenes were used to build the winning model of a breast cancer prog- nosis challenge. When applied on larger data sets from 12 different cancer types from The Cancer Genome Atlas \Pan-Cancer" project, the algorithm identified additional pan-cancer molecular signatures, some of which involve methylation sites, microRNA expression, and protein activity. Contents List of Figures iv List of Tables vi 1 Introduction 1 1.1 Background . 1 1.2 Previous Work on Identifying Cancer-Related Gene Signatures . 3 1.3 Contributions of the Thesis . 9 2 Attractor Metagenes 11 2.1 Derivation of an Attractor Metagene .
    [Show full text]
  • 1 Novel Expression Signatures Identified by Transcriptional Analysis
    ARD Online First, published on October 7, 2009 as 10.1136/ard.2009.108043 Ann Rheum Dis: first published as 10.1136/ard.2009.108043 on 7 October 2009. Downloaded from Novel expression signatures identified by transcriptional analysis of separated leukocyte subsets in SLE and vasculitis 1Paul A Lyons, 1Eoin F McKinney, 1Tim F Rayner, 1Alexander Hatton, 1Hayley B Woffendin, 1Maria Koukoulaki, 2Thomas C Freeman, 1David RW Jayne, 1Afzal N Chaudhry, and 1Kenneth GC Smith. 1Cambridge Institute for Medical Research and Department of Medicine, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 0XY, UK 2Roslin Institute, University of Edinburgh, Roslin, Midlothian, EH25 9PS, UK Correspondence should be addressed to Dr Paul Lyons or Prof Kenneth Smith, Department of Medicine, Cambridge Institute for Medical Research, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 0XY, UK. Telephone: +44 1223 762642, Fax: +44 1223 762640, E-mail: [email protected] or [email protected] Key words: Gene expression, autoimmune disease, SLE, vasculitis Word count: 2,906 The Corresponding Author has the right to grant on behalf of all authors and does grant on behalf of all authors, an exclusive licence (or non-exclusive for government employees) on a worldwide basis to the BMJ Publishing Group Ltd and its Licensees to permit this article (if accepted) to be published in Annals of the Rheumatic Diseases and any other BMJPGL products to exploit all subsidiary rights, as set out in their licence (http://ard.bmj.com/ifora/licence.pdf). http://ard.bmj.com/ on September 29, 2021 by guest. Protected copyright. 1 Copyright Article author (or their employer) 2009.
    [Show full text]
  • Microarray Bioinformatics and Its Applications to Clinical Research
    Microarray Bioinformatics and Its Applications to Clinical Research A dissertation presented to the School of Electrical and Information Engineering of the University of Sydney in fulfillment of the requirements for the degree of Doctor of Philosophy i JLI ··_L - -> ...·. ...,. by Ilene Y. Chen Acknowledgment This thesis owes its existence to the mercy, support and inspiration of many people. In the first place, having suffering from adult-onset asthma, interstitial cystitis and cold agglutinin disease, I would like to express my deepest sense of appreciation and gratitude to Professors Hong Yan and David Levy for harbouring me these last three years and providing me a place at the University of Sydney to pursue a very meaningful course of research. I am also indebted to Dr. Craig Jin, who has been a source of enthusiasm and encouragement on my research over many years. In the second place, for contexts concerning biological and medical aspects covered in this thesis, I am very indebted to Dr. Ling-Hong Tseng, Dr. Shian-Sehn Shie, Dr. Wen-Hung Chung and Professor Chyi-Long Lee at Change Gung Memorial Hospital and University of Chang Gung School of Medicine (Taoyuan, Taiwan) as well as Professor Keith Lloyd at University of Alabama School of Medicine (AL, USA). All of them have contributed substantially to this work. In the third place, I would like to thank Mrs. Inge Rogers and Mr. William Ballinger for their helpful comments and suggestions for the writing of my papers and thesis. In the fourth place, I would like to thank my swim coach, Hirota Homma.
    [Show full text]
  • Localizing Recent Adaptive Evolution in the Human Genome
    Localizing Recent Adaptive Evolution in the Human Genome Scott H. Williamson1*, Melissa J. Hubisz1¤a, Andrew G. Clark2, Bret A. Payseur2¤b, Carlos D. Bustamante1, Rasmus Nielsen3 1 Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, United States of America, 2 Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York, United States of America, 3 Center for Bioinformatics and Department of Biology, University of Copenhagen, Copenhagen, Denmark Identifying genomic locations that have experienced selective sweeps is an important first step toward understanding the molecular basis of adaptive evolution. Using statistical methods that account for the confounding effects of population demography, recombination rate variation, and single-nucleotide polymorphism ascertainment, while also providing fine-scale estimates of the position of the selected site, we analyzed a genomic dataset of 1.2 million human single-nucleotide polymorphisms genotyped in African-American, European-American, and Chinese samples. We identify 101 regions of the human genome with very strong evidence (p , 10À5) of a recent selective sweep and where our estimate of the position of the selective sweep falls within 100 kb of a known gene. Within these regions, genes of biological interest include genes in pigmentation pathways, components of the dystrophin protein complex, clusters of olfactory receptors, genes involved in nervous system development and function, immune system genes, and heat shock genes. We also observe consistent evidence of selective sweeps in centromeric regions. In general, we find that recent adaptation is strikingly pervasive in the human genome, with as much as 10% of the genome affected by linkage to a selective sweep.
    [Show full text]
  • Proquest Dissertations
    THE ROLE OF CASP AND SORTING NEXIN 27 IN IMMUNITY by Adam J. MacNeil Submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy at Dalhousie University Halifax, Nova Scotia December 2008 © Copyright by Adam J. MacNeil, 2008 Library and Bibliotheque et 1*1 Archives Canada Archives Canada Published Heritage Direction du Branch Patrimoine de I'edition 395 Wellington Street 395, rue Wellington Ottawa ON K1A0N4 Ottawa ON K1A0N4 Canada Canada Your file Votre reference ISBN: 978-0-494-50156-6 Our file Notre reference ISBN: 978-0-494-50156-6 NOTICE: AVIS: The author has granted a non­ L'auteur a accorde une licence non exclusive exclusive license allowing Library permettant a la Bibliotheque et Archives and Archives Canada to reproduce, Canada de reproduire, publier, archiver, publish, archive, preserve, conserve, sauvegarder, conserver, transmettre au public communicate to the public by par telecommunication ou par Plntemet, prefer, telecommunication or on the Internet, distribuer et vendre des theses partout dans loan, distribute and sell theses le monde, a des fins commerciales ou autres, worldwide, for commercial or non­ sur support microforme, papier, electronique commercial purposes, in microform, et/ou autres formats. paper, electronic and/or any other formats. The author retains copyright L'auteur conserve la propriete du droit d'auteur ownership and moral rights in et des droits moraux qui protege cette these. this thesis. Neither the thesis Ni la these ni des extraits substantiels de nor substantial extracts from it celle-ci ne doivent etre imprimes ou autrement may be printed or otherwise reproduits sans son autorisation.
    [Show full text]
  • PSCDBP (CYTIP) Rabbit Polyclonal Antibody – TA308371 | Origene
    OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for TA308371 PSCDBP (CYTIP) Rabbit Polyclonal Antibody Product data: Product Type: Primary Antibodies Applications: WB Recommended Dilution: WB:1:500-1:3000 Reactivity: Human Host: Rabbit Isotype: IgG Clonality: Polyclonal Immunogen: Synthetic peptide corresponding to a region within amino acids 1 and 44 of PSCDBP (Uniprot ID#O60759) Formulation: 1XPBS, 10% Glycerol (pH7). 0.01% Thimerosal was added as a preservative. Concentration: lot specific Purification: Purified by antigen-affinity chromatography. Conjugation: Unconjugated Storage: Store at -20°C as received. Stability: Stable for 12 months from date of receipt. Predicted Protein Size: 40 kDa Gene Name: cytohesin 1 interacting protein Database Link: NP_004279 Entrez Gene 9595 Human O60759 Background: The protein encoded by this gene contains 2 leucine zipper domains and a putative C- terminal nuclear targeting signal, but does not have any hydrophobic regions. This protein is expressed weakly in resting NK and T cells. The encoded protein modulates the activation of ARF genes by CYTH1. This protein interacts with CYTH1 and SNX27 proteins and may act to sequester CYTH1 protein in the cytoplasm. [provided by RefSeq] Synonyms: B3-1; CASP; CYBR; CYTHIP; HE; PSCDBP This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 PSCDBP (CYTIP) Rabbit Polyclonal Antibody – TA308371 Product images: Sample (30 ug of whole cell lysate).
    [Show full text]
  • Mouse Cytip Knockout Project (CRISPR/Cas9)
    https://www.alphaknockout.com Mouse Cytip Knockout Project (CRISPR/Cas9) Objective: To create a Cytip knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Cytip gene (NCBI Reference Sequence: NM_139200 ; Ensembl: ENSMUSG00000026832 ) is located on Mouse chromosome 2. 8 exons are identified, with the ATG start codon in exon 1 and the TGA stop codon in exon 8 (Transcript: ENSMUST00000028175). Exon 2~5 will be selected as target site. Cas9 and gRNA will be co-injected into fertilized eggs for KO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Mice homozygous for a null allele display impaired trafficking and/or cell adhesion of immune system cells. Mice homozygous for a reporter allele show normal immune cell development and function; however, mutant hematopoietic stems cells have impaired repopulating activity. Exon 2 starts from about 16.25% of the coding region. Exon 2~5 covers 28.04% of the coding region. The size of effective KO region: ~3889 bp. The KO region does not have any other known gene. Page 1 of 9 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele 5' gRNA region gRNA region 3' 1 2 3 4 5 8 Legends Exon of mouse Cytip Knockout region Page 2 of 9 https://www.alphaknockout.com Overview of the Dot Plot (up) Window size: 15 bp Forward Reverse Complement Sequence 12 Note: The 2000 bp section upstream of Exon 2 is aligned with itself to determine if there are tandem repeats. No significant tandem repeat is found in the dot plot matrix.
    [Show full text]
  • Methods for Predicting Or Monitoring Whether a Patient Affected by a Cancer Is Responsive to a Treatment with a Molecule of the Taxoid Family
    (19) & (11) EP 2 177 630 A1 (12) EUROPEAN PATENT APPLICATION (43) Date of publication: (51) Int Cl.: 21.04.2010 Bulletin 2010/16 C12Q 1/68 (2006.01) (21) Application number: 08305634.1 (22) Date of filing: 02.10.2008 (84) Designated Contracting States: (72) Inventors: AT BE BG CH CY CZ DE DK EE ES FI FR GB GR • Chauchereau, Anne HR HU IE IS IT LI LT LU LV MC MT NL NO PL PT 92260 Fontenay-aux-Roses (FR) RO SE SI SK TR • Al Nakouzi, Nader Designated Extension States: 92763 Antony (FR) AL BA MK RS (74) Representative: Gallois, Valérie et al (71) Applicant: Institut Gustave Roussy Cabinet BECKER & ASSOCIES 94800 Villejuif (FR) 25, rue Louis Le Grand 75002 Paris (FR) (54) Methods for predicting or monitoring whether a patient affected by a cancer is responsive to a treatment with a molecule of the taxoid family (57) The present invention concerns in vitro methods ing the treatment of a cancer with a molecule of the taxoid for predicting or monitoring whether a patient affected by family or for reducing the resistance development during a cancer is responsive to a treatment with a molecule of the treatment of a cancer with the molecule of the taxoid the taxoid family based on a resistance expression sig- family nature, kits for performing the methods, and methods for screening or identifying a compound suitable for improv- EP 2 177 630 A1 Printed by Jouve, 75001 PARIS (FR) EP 2 177 630 A1 Description FIELD OF THE INVENTION 5 [0001] The present invention relates to method for predicting the response to a treatment with a molecule of the taxoid family, kits and method for screening compounds useful for improve the treatment with the molecule.
    [Show full text]
  • Genomics and Epigenomics of Common Human Metabolic and Heart Disease
    GENOMICS AND EPIGENOMICS OF COMMON HUMAN METABOLIC AND HEART DISEASE by Michael Lewis Multhaup A dissertation submitted to Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland February, 2015 Abstract The field of epigenetics is rapidly becoming recognized as playing an essential part in explaining common human disease. Here we probe DNA methylation in diabetes mellitus and associated metabolic phenotypes and coronary heart disease. In a cohort from the Framingham Heart Study, we use epidemiological techniques to identify over 20,000 CpGs differentially methylated in coronary heart disease patients. In the other chapters, we use a functional approach to investigate the epigenetics of Type 2 Diabetes (T2D) and combine three lines of evidence – diet-induced epigenetic dysregulation in mouse, epigenetic conservation in humans, and evidence of T2D clinical risk – to identify genes implicated in T2D pathogenesis through epigenetic mechanisms related to obesity. We then replicate these results in adipose samples from lean and obese patients pre- and post-Roux-en-Y gastric bypass surgery, identifying regions where both the location and direction of methylation change is conserved. These regions overlap with 27 genomic locations with genetic T2D risk, only one of which was deemed significant by GWAS alone. Functional analysis of genes associated with these regions revealed five genes with novel roles in insulin resistance, demonstrating the potential general utility of this approach
    [Show full text]
  • Wo 2009/023270 A2
    (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 PCT 19 February 2009 (19.02.2009) WO 2009/023270 A2 (51) International Patent Classification: 94083 (US). WANG, Chia-wei [-/US]; 3444 El Camino C12P 21/00 (2006.01) A61K 38/28 (2006.01) Real #307, Santa Clara, CA 95051 (US). GEETHING, C12N 15/09 (2006.01) A61K 38/21 (2006.01) Nathan, C. [US/US]; 2009 Garzoni Place, Santa Clara, C12N 1/00 (2006.01) A61P 43/00 (2006.01) CA 95054 (US). C07H 21/00 (2006.01) C07K 14/00 (2006.01) A61K 38/16 (2006.01) C 0 40/70 (2006.01) (74) Agents: WRONG, Karen, K. et al.; Wilson Sonsini Goodrich & Rosati, 650 Page Mill Road, Palo Alto, CA (21) International Application Number: 94304-1050 (US). PCT/US2008/009787 (81) Designated States (unless otherwise indicated, for every kind of national protection available): AE, AG, AL, AM, (22) International Filing Date: 15 August 2008 (15.08.2008) AO, AT,AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, CA, CH, CN, CO, CR, CU, CZ, DE, DK, DM, DO, DZ, EC, EE, (25) Filing Language: English EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, KZ, LA, LC, LK, (26) Publication Language: English LR, LS, LT, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PG, PH, PL, PT, (30) Priority Data: RO, RS, RU, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY,TJ, 15 August 2007 (15.08.2007) US 60/956,109 TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, 60/981,073 18 October 2007 (18.10.2007) US ZW 60/986,569 8 November 2007 (08.
    [Show full text]
  • 1 Imipramine Treatment and Resiliency Exhibit Similar
    Imipramine Treatment and Resiliency Exhibit Similar Chromatin Regulation in the Mouse Nucleus Accumbens in Depression Models Wilkinson et al. Supplemental Material 1. Supplemental Methods 2. Supplemental References for Tables 3. Supplemental Tables S1 – S24 SUPPLEMENTAL TABLE S1: Genes Demonstrating Increased Repressive DimethylK9/K27-H3 Methylation in the Social Defeat Model (p<0.001) SUPPLEMENTAL TABLE S2: Genes Demonstrating Decreased Repressive DimethylK9/K27-H3 Methylation in the Social Defeat Model (p<0.001) SUPPLEMENTAL TABLE S3: Genes Demonstrating Increased Repressive DimethylK9/K27-H3 Methylation in the Social Isolation Model (p<0.001) SUPPLEMENTAL TABLE S4: Genes Demonstrating Decreased Repressive DimethylK9/K27-H3 Methylation in the Social Isolation Model (p<0.001) SUPPLEMENTAL TABLE S5: Genes Demonstrating Common Altered Repressive DimethylK9/K27-H3 Methylation in the Social Defeat and Social Isolation Models (p<0.001) SUPPLEMENTAL TABLE S6: Genes Demonstrating Increased Repressive DimethylK9/K27-H3 Methylation in the Social Defeat and Social Isolation Models (p<0.001) SUPPLEMENTAL TABLE S7: Genes Demonstrating Decreased Repressive DimethylK9/K27-H3 Methylation in the Social Defeat and Social Isolation Models (p<0.001) SUPPLEMENTAL TABLE S8: Genes Demonstrating Increased Phospho-CREB Binding in the Social Defeat Model (p<0.001) SUPPLEMENTAL TABLE S9: Genes Demonstrating Decreased Phospho-CREB Binding in the Social Defeat Model (p<0.001) SUPPLEMENTAL TABLE S10: Genes Demonstrating Increased Phospho-CREB Binding in the Social
    [Show full text]
  • Ep 2270226 B1
    (19) TZZ Z _T (11) EP 2 270 226 B1 (12) EUROPEAN PATENT SPECIFICATION (45) Date of publication and mention (51) Int Cl.: of the grant of the patent: C12Q 1/68 (2006.01) G01N 33/569 (2006.01) 18.05.2016 Bulletin 2016/20 G01N 33/68 (2006.01) (21) Application number: 10013575.5 (22) Date of filing: 30.03.2006 (54) Method for distinguishing mesenchymal stem cell using molecular marker and use thereof Verfahren zur Unterscheidung mesenchymaler Stammzellen mittels molekularem Marker und Nutzung dieses Marker Procédé de distinction d’une cellule souche mésenchymateuse en utilisant un marqueur moléculaire et son usage (84) Designated Contracting States: (74) Representative: Müller Hoffmann & Partner AT BE BG CH CY CZ DE DK EE ES FI FR GB GR Patentanwälte mbB HU IE IS IT LI LT LU LV MC NL PL PT RO SE SI St.-Martin-Strasse 58 SK TR 81541 München (DE) (30) Priority: 31.03.2005 JP 2005104563 (56) References cited: EP-A1- 1 475 438 WO-A1-02/46373 (43) Date of publication of application: WO-A1-03/016916 WO-A1-03/106492 05.01.2011 Bulletin 2011/01 WO-A2-2004/025293 WO-A2-2004/044142 JP-A- 2004 290 189 US-A1- 2003 161 817 (62) Document number(s) of the earlier application(s) in accordance with Art. 76 EPC: • DESCHASEAUX FREDERIC ET AL: "Direct 06730606.8 / 1 870 455 selection of human bone marrow mesenchymal stem cells using an anti-CD49a antibody reveals (73) Proprietor: Two Cells Co., Ltd their CD45med,low phenotype", BRITISH Minami-ku JOURNAL OF HAEMATOLOGY, Hiroshima City WILEY-BLACKWELL PUBLISHING LTD, GB, vol.
    [Show full text]