CENP-A-Chromatin in Health and Cancer
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Epigenetic Control of Mammalian Centromere Protein Binding: Does DNA Methylation Have a Role?
Journal of Cell Science 109, 2199-2206 (1996) 2199 Printed in Great Britain © The Company of Biologists Limited 1996 JCS3386 Epigenetic control of mammalian centromere protein binding: does DNA methylation have a role? Arthur R. Mitchell*, Peter Jeppesen, Linda Nicol†, Harris Morrison and David Kipling MRC Human Genetics Unit, Western General Hospital, Crewe Road, Edinburgh EH4 2XU, UK *Author for correspondence (internet [email protected]) †Present address: MRC Reproductive Biology Unit, Edinburgh, UK SUMMARY Chromosome 1 of the inbred mouse strain DBA/2 has a block of minor satellite DNA sequences on chromosome 1. polymorphism associated with the minor satellite DNA at The binding of the CENP-E protein does not appear to be its centromere. The more terminal block of satellite DNA affected by demethylation of the minor satellite sequences. sequences on this chromosome acts as the centromere as We present a model to explain these observations. This shown by the binding of CREST ACA serum, anti-CENP- model may also indicate the mechanism by which the B and anti-CENP-E polyclonal sera. Demethylation of the CENP-B protein recognises specific sites within the arrays minor satellite DNA sequences accomplished by growing of minor satellite DNA on mouse chromosomes. cells in the presence of the drug 5-aza-2′-deoxycytidine results in a redistribution of the CENP-B protein. This protein now binds to an enlarged area on the more terminal Key words: Centromere satellite DNA, Demethylation, Centromere block and in addition it now binds to the more internal antibody INTRODUCTION A common feature of many mammalian pericentromeric domains is that they contain families of repetitive DNA The centromere of mammalian chromosomes is recognised at sequences (Singer, 1982). -
Gene Knockdown of CENPA Reduces Sphere Forming Ability and Stemness of Glioblastoma Initiating Cells
Neuroepigenetics 7 (2016) 6–18 Contents lists available at ScienceDirect Neuroepigenetics journal homepage: www.elsevier.com/locate/nepig Gene knockdown of CENPA reduces sphere forming ability and stemness of glioblastoma initiating cells Jinan Behnan a,1, Zanina Grieg b,c,1, Mrinal Joel b,c, Ingunn Ramsness c, Biljana Stangeland a,b,⁎ a Department of Molecular Medicine, Institute of Basic Medical Sciences, The Medical Faculty, University of Oslo, Oslo, Norway b Norwegian Center for Stem Cell Research, Department of Immunology and Transfusion Medicine, Oslo University Hospital, Oslo, Norway c Vilhelm Magnus Laboratory for Neurosurgical Research, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Oslo, Norway article info abstract Article history: CENPA is a centromere-associated variant of histone H3 implicated in numerous malignancies. However, the Received 20 May 2016 role of this protein in glioblastoma (GBM) has not been demonstrated. GBM is one of the most aggressive Received in revised form 23 July 2016 human cancers. GBM initiating cells (GICs), contained within these tumors are deemed to convey Accepted 2 August 2016 characteristics such as invasiveness and resistance to therapy. Therefore, there is a strong rationale for targeting these cells. We investigated the expression of CENPA and other centromeric proteins (CENPs) in Keywords: fi CENPA GICs, GBM and variety of other cell types and tissues. Bioinformatics analysis identi ed the gene signature: fi Centromeric proteins high_CENP(AEFNM)/low_CENP(BCTQ) whose expression correlated with signi cantly worse GBM patient Glioblastoma survival. GBM Knockdown of CENPA reduced sphere forming ability, proliferation and cell viability of GICs. We also Brain tumor detected significant reduction in the expression of stemness marker SOX2 and the proliferation marker Glioblastoma initiating cells and therapeutic Ki67. -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
Supplementary Table S1. Correlation Between the Mutant P53-Interacting Partners and PTTG3P, PTTG1 and PTTG2, Based on Data from Starbase V3.0 Database
Supplementary Table S1. Correlation between the mutant p53-interacting partners and PTTG3P, PTTG1 and PTTG2, based on data from StarBase v3.0 database. PTTG3P PTTG1 PTTG2 Gene ID Coefficient-R p-value Coefficient-R p-value Coefficient-R p-value NF-YA ENSG00000001167 −0.077 8.59e-2 −0.210 2.09e-6 −0.122 6.23e-3 NF-YB ENSG00000120837 0.176 7.12e-5 0.227 2.82e-7 0.094 3.59e-2 NF-YC ENSG00000066136 0.124 5.45e-3 0.124 5.40e-3 0.051 2.51e-1 Sp1 ENSG00000185591 −0.014 7.50e-1 −0.201 5.82e-6 −0.072 1.07e-1 Ets-1 ENSG00000134954 −0.096 3.14e-2 −0.257 4.83e-9 0.034 4.46e-1 VDR ENSG00000111424 −0.091 4.10e-2 −0.216 1.03e-6 0.014 7.48e-1 SREBP-2 ENSG00000198911 −0.064 1.53e-1 −0.147 9.27e-4 −0.073 1.01e-1 TopBP1 ENSG00000163781 0.067 1.36e-1 0.051 2.57e-1 −0.020 6.57e-1 Pin1 ENSG00000127445 0.250 1.40e-8 0.571 9.56e-45 0.187 2.52e-5 MRE11 ENSG00000020922 0.063 1.56e-1 −0.007 8.81e-1 −0.024 5.93e-1 PML ENSG00000140464 0.072 1.05e-1 0.217 9.36e-7 0.166 1.85e-4 p63 ENSG00000073282 −0.120 7.04e-3 −0.283 1.08e-10 −0.198 7.71e-6 p73 ENSG00000078900 0.104 2.03e-2 0.258 4.67e-9 0.097 3.02e-2 Supplementary Table S2. -
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 -
12Q Deletions FTNW
12q deletions rarechromo.org What is a 12q deletion? A deletion from chromosome 12q is a rare genetic condition in which a part of one of the body’s 46 chromosomes is missing. When material is missing from a chromosome, it is called a deletion. What are chromosomes? Chromosomes are the structures in each of the body’s cells that carry genetic information telling the body how to develop and function. They come in pairs, one from each parent, and are numbered 1 to 22 approximately from largest to smallest. Additionally there is a pair of sex chromosomes, two named X in females, and one X and another named Y in males. Each chromosome has a short (p) arm and a long (q) arm. Looking at chromosome 12 Chromosome analysis You can’t see chromosomes with the naked eye, but if you stain and magnify them many hundreds of times under a microscope, you can see that each one has a distinctive pattern of light and dark bands. In the diagram of the long arm of chromosome 12 on page 3 you can see the bands are numbered outwards starting from the point at the top of the diagram where the short and long arms meet (the centromere). Molecular techniques If you magnify chromosome 12 about 850 times, a small piece may be visibly missing. But sometimes the missing piece is so tiny that the chromosome looks normal through a microscope. The missing section can then only be found using more sensitive molecular techniques such as FISH (fluorescence in situ hybridisation, a technique that reveals the chromosomes in fluorescent colour), MLPA (multiplex ligation-dependent probe amplification) and/or array-CGH (microarrays), a technique that shows gains and losses of tiny amounts of DNA throughout all the chromosomes. -
Proteomic Expression Profile in Human Temporomandibular Joint
diagnostics Article Proteomic Expression Profile in Human Temporomandibular Joint Dysfunction Andrea Duarte Doetzer 1,*, Roberto Hirochi Herai 1 , Marília Afonso Rabelo Buzalaf 2 and Paula Cristina Trevilatto 1 1 Graduate Program in Health Sciences, School of Medicine, Pontifícia Universidade Católica do Paraná (PUCPR), Curitiba 80215-901, Brazil; [email protected] (R.H.H.); [email protected] (P.C.T.) 2 Department of Biological Sciences, Bauru School of Dentistry, University of São Paulo, Bauru 17012-901, Brazil; [email protected] * Correspondence: [email protected]; Tel.: +55-41-991-864-747 Abstract: Temporomandibular joint dysfunction (TMD) is a multifactorial condition that impairs human’s health and quality of life. Its etiology is still a challenge due to its complex development and the great number of different conditions it comprises. One of the most common forms of TMD is anterior disc displacement without reduction (DDWoR) and other TMDs with distinct origins are condylar hyperplasia (CH) and mandibular dislocation (MD). Thus, the aim of this study is to identify the protein expression profile of synovial fluid and the temporomandibular joint disc of patients diagnosed with DDWoR, CH and MD. Synovial fluid and a fraction of the temporomandibular joint disc were collected from nine patients diagnosed with DDWoR (n = 3), CH (n = 4) and MD (n = 2). Samples were subjected to label-free nLC-MS/MS for proteomic data extraction, and then bioinformatics analysis were conducted for protein identification and functional annotation. The three Citation: Doetzer, A.D.; Herai, R.H.; TMD conditions showed different protein expression profiles, and novel proteins were identified Buzalaf, M.A.R.; Trevilatto, P.C. -
Birth, Evolution, and Transmission of Satellite-Free Mammalian Centromeric Domains
Downloaded from genome.cshlp.org on October 7, 2021 - Published by Cold Spring Harbor Laboratory Press Research Birth, evolution, and transmission of satellite-free mammalian centromeric domains Solomon G. Nergadze,1,6 Francesca M. Piras,1,6 Riccardo Gamba,1,6 Marco Corbo,1,6 † Federico Cerutti,1, Joseph G.W. McCarter,2 Eleonora Cappelletti,1 Francesco Gozzo,1 Rebecca M. Harman,3 Douglas F. Antczak,3 Donald Miller,3 Maren Scharfe,4 Giulio Pavesi,5 Elena Raimondi,1 Kevin F. Sullivan,2 and Elena Giulotto1 1Department of Biology and Biotechnology “Lazzaro Spallanzani,” University of Pavia, 27100 Pavia, Italy; 2Centre for Chromosome Biology, School of Natural Sciences, National University of Ireland, Galway, H91 TK33, Ireland; 3Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, New York 14850, USA; 4Genomanalytik (GMAK), Helmholtz Centre for Infection Research (HZI), 38124 Braunschweig, Germany; 5Department of Biosciences, University of Milano, 20122 Milano, Italy Mammalian centromeres are associated with highly repetitive DNA (satellite DNA), which has so far hindered molecular analysis of this chromatin domain. Centromeres are epigenetically specified, and binding of the CENPA protein is their main determinant. In previous work, we described the first example of a natural satellite-free centromere on Equus caballus Chromosome 11. Here, we investigated the satellite-free centromeres of Equus asinus by using ChIP-seq with anti-CENPA an- tibodies. We identified an extraordinarily high number of centromeres lacking satellite DNA (16 of 31). All of them lay in LINE- and AT-rich regions. A subset of these centromeres is associated with DNA amplification. The location of CENPA binding domains can vary in different individuals, giving rise to epialleles. -
Investigation of Differentially Expressed Genes in Nasopharyngeal Carcinoma by Integrated Bioinformatics Analysis
916 ONCOLOGY LETTERS 18: 916-926, 2019 Investigation of differentially expressed genes in nasopharyngeal carcinoma by integrated bioinformatics analysis ZhENNING ZOU1*, SIYUAN GAN1*, ShUGUANG LIU2, RUjIA LI1 and jIAN hUANG1 1Department of Pathology, Guangdong Medical University, Zhanjiang, Guangdong 524023; 2Department of Pathology, The Eighth Affiliated hospital of Sun Yat‑sen University, Shenzhen, Guangdong 518033, P.R. China Received October 9, 2018; Accepted April 10, 2019 DOI: 10.3892/ol.2019.10382 Abstract. Nasopharyngeal carcinoma (NPC) is a common topoisomerase 2α and TPX2 microtubule nucleation factor), malignancy of the head and neck. The aim of the present study 8 modules, and 14 TFs were identified. Modules analysis was to conduct an integrated bioinformatics analysis of differ- revealed that cyclin-dependent kinase 1 and exportin 1 were entially expressed genes (DEGs) and to explore the molecular involved in the pathway of Epstein‑Barr virus infection. In mechanisms of NPC. Two profiling datasets, GSE12452 and summary, the hub genes, key modules and TFs identified in GSE34573, were downloaded from the Gene Expression this study may promote our understanding of the pathogenesis Omnibus database and included 44 NPC specimens and of NPC and require further in-depth investigation. 13 normal nasopharyngeal tissues. R software was used to identify the DEGs between NPC and normal nasopharyngeal Introduction tissues. Distributions of DEGs in chromosomes were explored based on the annotation file and the CYTOBAND database Nasopharyngeal carcinoma (NPC) is a common malignancy of DAVID. Gene ontology (GO) and Kyoto Encyclopedia of occurring in the head and neck. It is prevalent in the eastern Genes and Genomes (KEGG) pathway enrichment analysis and southeastern parts of Asia, especially in southern China, were applied. -
Ribosomal DNA Copy Number Is Coupled with Gene Expression Variation and Mitochondrial Abundance in Humans
ARTICLE Received 12 Apr 2014 | Accepted 30 Jul 2014 | Published 11 Sep 2014 DOI: 10.1038/ncomms5850 Ribosomal DNA copy number is coupled with gene expression variation and mitochondrial abundance in humans John G. Gibbons1, Alan T. Branco1, Shoukai Yu1 & Bernardo Lemos1 Ribosomes are essential intracellular machines composed of proteins and RNA molecules. The DNA sequences (rDNA) encoding ribosomal RNAs (rRNAs) are tandemly repeated and give origin to the nucleolus. Here we develop a computational method for estimating rDNA dosage (copy number) and mitochondrial DNA abundance using whole-genome short-read DNA sequencing. We estimate these attributes across hundreds of human genomes and their association with global gene expression. The analyses uncover abundant variation in rDNA dosage that is coupled with the expression of hundreds of functionally coherent gene sets. These include associations with genes coding for chromatin components that target the nucleolus, including CTCF and HP1b. Finally, the data show an inverse association between rDNA dosage and mitochondrial DNA abundance that is manifested across genotypes. Our findings uncover a novel and cryptic source of hypervariable genomic diversity with global regulatory consequences (ribosomal eQTL) in humans. The variation provides a mechanism for cellular homeostasis and for rapid and reversible adaptation. 1 Program in Molecular and Integrative Physiological Sciences, Department of Environmental Health, Harvard School of Public Health, 665 Huntington Avenue, Building 2, Room 219, Boston, Massachusetts 02115, USA. Correspondence and requests for materials should be addressed to B.L. (email: [email protected]). NATURE COMMUNICATIONS | 5:4850 | DOI: 10.1038/ncomms5850 | www.nature.com/naturecommunications 1 & 2014 Macmillan Publishers Limited. -
Kinetochore Protein Depletion Underlies Cytokinesis Failure And
RESEARCH ARTICLE Kinetochore protein depletion underlies cytokinesis failure and somatic polyploidization in the moss Physcomitrella patens Elena Kozgunova1*, Momoko Nishina2, Gohta Goshima2* 1International Collaborative Programme in Science, Graduate School of Science, Nagoya University, Nagoya, Japan; 2Division of Biological Science, Graduate School of Science, Nagoya University, Nagoya, Japan Abstract Lagging chromosome is a hallmark of aneuploidy arising from errors in the kinetochore–spindle attachment in animal cells. However, kinetochore components and cellular phenotypes associated with kinetochore dysfunction are much less explored in plants. Here, we carried out a comprehensive characterization of conserved kinetochore components in the moss Physcomitrella patens and uncovered a distinct scenario in plant cells regarding both the localization and cellular impact of the kinetochore proteins. Most surprisingly, knock-down of several kinetochore proteins led to polyploidy, not aneuploidy, through cytokinesis failure in >90% of the cells that exhibited lagging chromosomes for several minutes or longer. The resultant cells, containing two or more nuclei, proceeded to the next cell cycle and eventually developed into polyploid plants. As lagging chromosomes have been observed in various plant species in the wild, our observation raised a possibility that they could be one of the natural pathways to polyploidy in plants. DOI: https://doi.org/10.7554/eLife.43652.001 *For correspondence: [email protected] (EK); [email protected] (GG) Competing interests: The Introduction authors declare that no The kinetochore is a macromolecular complex that connects chromosomes to spindle microtubules competing interests exist. and plays a central role in chromosome segregation. Kinetochore malfunction causes checkpoint- Funding: See page 14 dependent mitotic arrest, apoptosis, and/or aneuploidy-inducing chromosome missegregation (Potapova and Gorbsky, 2017). -
Rapid Molecular Assays to Study Human Centromere Genomics
Downloaded from genome.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press Method Rapid molecular assays to study human centromere genomics Rafael Contreras-Galindo,1 Sabrina Fischer,1,2 Anjan K. Saha,1,3,4 John D. Lundy,1 Patrick W. Cervantes,1 Mohamad Mourad,1 Claire Wang,1 Brian Qian,1 Manhong Dai,5 Fan Meng,5,6 Arul Chinnaiyan,7,8 Gilbert S. Omenn,1,9,10 Mark H. Kaplan,1 and David M. Markovitz1,4,11,12 1Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan 48109, USA; 2Laboratory of Molecular Virology, Centro de Investigaciones Nucleares, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay 11400; 3Medical Scientist Training Program, University of Michigan, Ann Arbor, Michigan 48109, USA; 4Program in Cancer Biology, University of Michigan, Ann Arbor, Michigan 48109, USA; 5Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, Michigan 48109, USA; 6Department of Psychiatry, University of Michigan, Ann Arbor, Michigan 48109, USA; 7Michigan Center for Translational Pathology and Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA; 8Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA; 9Department of Human Genetics, 10Departments of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA; 11Program in Immunology, University of Michigan, Ann Arbor, Michigan 48109, USA; 12Program in Cellular and Molecular Biology, University of Michigan, Ann Arbor, Michigan 48109, USA The centromere is the structural unit responsible for the faithful segregation of chromosomes. Although regulation of cen- tromeric function by epigenetic factors has been well-studied, the contributions of the underlying DNA sequences have been much less well defined, and existing methodologies for studying centromere genomics in biology are laborious.