DNA Methylation by DNMT1 and Dnmt3b Methyltransferases Is Driven by the MUC1-C Oncoprotein in Human Carcinoma Cells
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Euchromatin Histone Methyltransferase II (EHMT2) Regulates the Expression of Ras-Related GTP Binding C (RRAGC) Protein
BMB Rep. 2020; 53(11): 576-581 BMB www.bmbreports.org Reports Euchromatin histone methyltransferase II (EHMT2) regulates the expression of ras-related GTP binding C (RRAGC) protein Supyong Hwang1, Soyoung Kim1, Kyungkon Kim1,2,3, Jeonghun Yeom2, Sojung Park1 & Inki Kim1,2,3,* 1Biomedical Research Center, ASAN Institute for Life Sciences, ASAN Medical Center, Seoul 05505, 2Convergence Medicine Research Center (CREDIT), ASAN Institute for Life Sciences, ASAN Medical Center, Seoul 05505, 3Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul 05505, Korea Dimethylation of the histone H3 protein at lysine residue 9 INTRODUCTION (H3K9) is mediated by euchromatin histone methyltransferase II (EHMT2) and results in transcriptional repression of target Epigenetic modifications are gene regulatory mechanisms that genes. Recently, chemical inhibition of EHMT2 was shown to are independent of changes in DNA sequences (1). This mode induce various physiological outcomes, including endoplasmic of gene regulation can be achieved by means of histone and reticulum stress-associated genes transcription in cancer cells. DNA modifications, such as methylation and acetylation (1). To identify genes that are transcriptionally repressed by EHMT2 Among these, methylation at lysine residues 4 (H3K4) and 36 during apoptosis, and cell stress responses, we screened genes (H3K36) of histone H3 are hallmarks of transcriptional acti- that are upregulated by BIX-01294, a chemical inhibitor of vation, whereas methylation of histone H3 residues at lysines EHMT2. RNA sequencing analyses revealed 77 genes that were 9 (H3K9) and 27 (H3K27) leads to repression (2). Methylation upregulated by BIX-01294 in all four hepatic cell carcinoma of histones is accomplished by histone methyltransferases (HMTs) (HCC) cell lines. -
DNMT1 Gene DNA Methyltransferase 1
DNMT1 gene DNA methyltransferase 1 Normal Function The DNMT1 gene provides instructions for making an enzyme called DNA methyltransferase 1. This enzyme is involved in DNA methylation, which is the addition of methyl groups, consisting of one carbon atom and three hydrogen atoms, to DNA molecules. In particular, the enzyme helps add methyl groups to DNA building blocks ( nucleotides) called cytosines. DNA methylation is important in many cellular functions. These include determining whether the instructions in a particular segment of DNA are carried out or suppressed ( gene silencing), regulating reactions involving proteins and fats (lipids), and controlling the processing of chemicals that relay signals in the nervous system (neurotransmitters). DNA methyltransferase 1 is active in the adult nervous system. Although its specific function is not well understood, the enzyme may help regulate nerve cell (neuron) maturation and specialization (differentiation), the ability of neurons to move (migrate) and connect with each other, and neuron survival. Health Conditions Related to Genetic Changes Autosomal dominant cerebellar ataxia, deafness, and narcolepsy At least four DNMT1 gene mutations have been identified in people with a nervous system disorder called autosomal dominant cerebellar ataxia, deafness, and narcolepsy (ADCADN). Features of this disorder include difficulty coordinating movements (ataxia), hearing loss caused by abnormalities of the inner ear (sensorineural deafness), and excessive daytime sleepiness (narcolepsy). Cognitive decline occurs as the disorder progresses. Numbness, tingling, or pain in the arms and legs (sensory neuropathy) can also occur. Affected individuals usually survive into their forties or fifties. The DNMT1 gene mutations associated with this disorder affect a region of the DNA methyltransferase 1 enzyme, known as the targeting sequence, that helps direct the methylation process to the correct segments of DNA. -
DNMT-Focused Library
DNMT-focused library Medicinal and Computational Chemistry Dept., ChemDiv, Inc., 6605 Nancy Ridge Drive, San Diego, CA 92121 USA, Service: +1 877 ChemDiv, Tel: +1 858-794-4860, Fax: +1 858-794-4931, Email: [email protected] DNA methylation is an essential intracellular event critically involved in a wide range of endogenous processes that play significant role in the foundation of genetic phenomena and diseases. Such epigenetic modifications play a key role in the patho-physiology of many tumors and the current use of agents targeting epigenetic changes has become a topic of intense interest in cancer research. Particularly, DNA methyltransferase (DNMT) is a crucial enzyme for cytosine methylation in DNA [1]. In mammals, DNMTs can be broadly divided into two functional families (DNMT1 and DNMT3). All mammalian DNA methyltransferases are encoded by their own single gene, and consisted of catalytic and regulatory regions (except DNMT2). Via interactions between functional domains in the regulatory or catalytic regions and other adaptors or cofactors, DNA methyltransferases can be localized at selective areas (specific DNA/nucleotide sequence) and linked to specific chromosome status (euchromatin/heterochromatin, various histone modification status). With assistance from UHRF1 and DNMT3L or other factors in DNMT1 and DNMT3a/ DNMT3b, mammalian DNA methyltransferases can be recruited, and then specifically bind to hemimethylated and unmethylated double-stranded DNA sequence to maintain and de novo setup patterns for DNA methylation. Complicated -
Mechanisms for the Inhibition of DNA Methyltransferases by Tea Catechins and Bioflavonoids
Molecular Pharmacology Fast Forward. Published on July 21, 2005 as DOI: 10.1124/mol.104.008367 Molecular PharmacologyThis article has Fastnot been Forward. copyedited Publishedand formatted. Theon finalJuly version 21, 2005 may differ as doi:10.1124/mol.104.008367from this version. MOL 8367 Mechanisms for the Inhibition of DNA Methyltransferases by Tea Catechins and Bioflavonoids Downloaded from Won Jun Lee, Joong-Youn Shim and Bao Ting Zhu1 Department of Basic Pharmaceutical Sciences, College of Pharmacy, University of South Carolina, Columbia, SC 29208, USA (W.J.L., B.T.Z.) molpharm.aspetjournals.org and J. L. Chambers Biomedical/Biotechnology Research Institute, North Carolina Central University, Durham, NC 27707 (J.-Y.S.) at ASPET Journals on September 27, 2021 1 Copyright 2005 by the American Society for Pharmacology and Experimental Therapeutics. Molecular Pharmacology Fast Forward. Published on July 21, 2005 as DOI: 10.1124/mol.104.008367 This article has not been copyedited and formatted. The final version may differ from this version. MOL 8367 Running title: Modulation of DNA methylation by dietary polyphenols Corresponding author: Bao Ting Zhu, Ph.D. Frank and Josie P. Fletcher Professor of Pharmacology and an American Cancer Society Research Scholar, and to whom requests for reprints should be addressed at the Department of Basic Pharmaceutical Sciences, College of Pharmacy, University of South Carolina, Room 617 of Coker Life Sciences Building, 700 Sumter Street, Columbia, SC 29208 (USA). PHONE: 803-777-4802; FAX: 803-777-8356; E-MAIL: [email protected] Number of text pages : 34 Downloaded from Number of tables : 2 Number of figures : 10 Number of references : 39 molpharm.aspetjournals.org Number of words in abstract : 229 Number of words in introduction : 458 Number of words in discussion : 1567 at ASPET Journals on September 27, 2021 2 Molecular Pharmacology Fast Forward. -
Characterization of Timed Changes in Hepatic Copper Concentrations, Methionine Metabolism, Gene Expression, and Global DNA Methylation in the Jackson Toxic Milk Mouse Model Of
Int. J. Mol. Sci. 2014, 15, 8004-8023; doi:10.3390/ijms15058004 OPEN ACCESS International Journal of Molecular Sciences ISSN 1422-0067 www.mdpi.com/journal/ijms Article Characterization of Timed Changes in Hepatic Copper Concentrations, Methionine Metabolism, Gene Expression, and Global DNA Methylation in the Jackson Toxic Milk Mouse Model of Wilson Disease Anh Le 1, Noreene M. Shibata 2, Samuel W. French 3, Kyoungmi Kim 4, Kusum K. Kharbanda 5, Mohammad S. Islam 6, Janine M. LaSalle 7, Charles H. Halsted 2, Carl L. Keen 1 and Valentina Medici 2,* 1 Department of Nutrition, University of California Davis, 3135 Meyer Hall, One Shields Avenue, Davis, CA 95616, USA; E-Mails: [email protected] (A.L.); [email protected] (C.L.K.) 2 Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of California Davis, 4150 V Street, Suite 3500, Sacramento, CA 95817, USA; E-Mails: [email protected] (N.M.S.); [email protected] (C.H.H.) 3 Department of Pathology, UCLA/Harbor Medical Center, 1000 West Carson Street, Torrance, CA 90502, USA; E-Mail: [email protected] 4 Department of Public Health Sciences, Division of Biostatistics, University of California Davis, One Shields Avenue, Med-Sci 1C, Davis, CA 95616, USA; E-Mail: [email protected] 5 Research Service, Veterans Affairs Nebraska-Western Iowa Health Care System, VA Medical Center R-151, 4101 Woolworth Avenue, Omaha, NE 68105, USA; E-Mail: [email protected] 6 Department of Medical Microbiology and Immunology, University of California Davis, One Shields Avenue, Tupper Hall, Davis, CA 95616, USA; E-Mail: [email protected] 7 Department of Medical Microbiology and Immunology Genome Center, and MIND Institute, University of California Davis, One Shields Avenue, Tupper Hall, Davis, CA 95616, USA; E-Mail: [email protected] * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +1-916-734-3751; Fax: +1-916-734-7908. -
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 -
Serine Hydroxymethyl Transferase 1 Stimulates Pro-Oncogenic Cytokine Expression Through Sialic Acid to Promote Ovarian Cancer Tumor Growth and Progression
OPEN Oncogene (2017) 36, 4014–4024 www.nature.com/onc ORIGINAL ARTICLE Serine hydroxymethyl transferase 1 stimulates pro-oncogenic cytokine expression through sialic acid to promote ovarian cancer tumor growth and progression R Gupta1, Q Yang1, SK Dogra2 and N Wajapeyee1 High-grade serous (HGS) ovarian cancer accounts for 90% of all ovarian cancer-related deaths. However, factors that drive HGS ovarian cancer tumor growth have not been fully elucidated. In particular, comprehensive analysis of the metabolic requirements of ovarian cancer tumor growth has not been performed. By analyzing The Cancer Genome Atlas mRNA expression data for HGS ovarian cancer patient samples, we observed that six enzymes of the folic acid metabolic pathway were overexpressed in HGS ovarian cancer samples compared with normal ovary samples. Systematic knockdown of all six genes using short hairpin RNAs (shRNAs) and follow-up functional studies demonstrated that serine hydroxymethyl transferase 1 (SHMT1) was necessary for ovarian cancer tumor growth and cell migration in culture and tumor formation in mice. SHMT1 promoter analysis identified transcription factor Wilms tumor 1 (WT1) binding sites, and WT1 knockdown resulted in reduced SHMT1 transcription in ovarian cancer cells. Unbiased large-scale metabolomic analysis and transcriptome-wide mRNA expression profiling identified reduced levels of several metabolites of the amino sugar and nucleotide sugar metabolic pathways, including sialic acid N-acetylneuraminic acid (Neu5Ac), and downregulation of pro-oncogenic cytokines interleukin-6 and 8 (IL-6 and IL-8) as unexpected outcomes of SHMT1 loss. Overexpression of either IL-6 or IL-8 partially rescued SHMT1 loss-induced tumor growth inhibition and migration. -
+3 Oxidation State) Methyltransferase (AS3MT
Environmental and Molecular Mutagenesis 58:411^422 (2017) Research Article Associations between Arsenic (13OxidationState) Methyltransferase (AS3MT) and N-6 Adenine-specific DNA Methyltransferase1 (N6AMT1) Polymorphisms, Arsenic Metabolism, and Cancer Risk in a Chilean Population Rosemarie de la Rosa,1 Craig Steinmaus,1 Nicholas K. Akers,1 Lucia Conde,1 Catterina Ferreccio,2 David Kalman,3 Kevin R. Zhang,1 Christine F.Skibola,1 Allan H. Smith,1 Luoping Zhang,1 and Martyn T.Smith1* 1Superfund Research Program, Divisions of Environmental Health Sciences and Epidemiology, School of Public Health, University of California, Berkeley, California 2Departamento de Salud Publica, Facultad de Medicina, Pontificia Universidad Catolica de Chile, Advanced Center for Chronic Diseases, ACCDiS, Santiago, Chile 3Department of Environmental & Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, DC Inter-individual differences in arsenic metabolism have gene. We found several AS3MT polymorphisms asso- been linked to arsenic-related disease risks. Arsenic ciated with both urinary arsenic metabolite profiles (13) methyltransferase (AS3MT) is the primary and cancer risk. For example, compared to wildtypes, enzyme involved in arsenic metabolism, and we previ- individuals carrying minor alleles in AS3MT ously demonstrated in vitro that N-6 adenine-specific rs3740393 had lower %MMA (mean differ- DNA methyltransferase 1 (N6AMT1) also methylates ence 521.9%, 95% CI: 23.3, 20.4), higher the toxic inorganic arsenic (iAs) metabolite, monome- %DMA (mean difference 5 4.0%, 95% CI: 1.5, 6.5), thylarsonous acid (MMA), to the less toxic dimethylar- and lower odds ratios for bladder (OR 5 0.3; 95% sonic acid (DMA). Here, we evaluated whether CI: 0.1–0.6) and lung cancer (OR 5 0.6; 95% CI: AS3MT and N6AMT1 gene polymorphisms alter 0.2–1.1). -
Regulation of DNMT1 Stability Through SET7-Mediated Lysine Methylation in Mammalian Cells
Regulation of DNMT1 stability through SET7-mediated lysine methylation in mammalian cells Pierre-Olivier Este` vea,1, Hang Gyeong China,1, Jack Bennera, George R. Feeherya, Mala Samaranayakea, Gregory A. Horwitzb, Steven E. Jacobsenb, and Sriharsa Pradhana,2 aNew England Biolabs Incorporated, 240 County Road, Ipswich, MA 01938; and bHoward Hughes Medical Institute and Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, CA 90095-1606 Edited by Jasper Rine, University of California, Berkeley, CA, and approved February 10, 2009 (received for review October 15, 2008) Inheritance of epigenetic information encoded by cytosine DNA A D methylation patterns is crucial for mammalian cell survival, in large ET7 S part through the activity of the maintenance DNA methyltrans- : IP: IgG IP IP: DNMT1 449 kDa ferase (DNMT1). Here, we show that SET7, a known histone 159 kDa Anti- methyltransferase, is involved in the regulation of protein stability DNMT1 Anti- of DNMT1. SET7 colocalizes and directly interacts with DNMT1 and DNMT1 Anti- specifically monomethylates Lys-142 of DNMT1. Methylated SET7 DNMT1 peaks during the S and G2 phases of the cell cycle and is DsRed- Merged/ prone to proteasome-mediated degradation. Overexpression of B C Time Nucleus DNMT1 SET7 Merged Nucleus SET7 leads to decreased DNMT1 levels, and siRNA-mediated knock- (hrs) down of SET7 stabilizes DNMT1. These results demonstrate that 2-4 SET7 PRMT1 signaling through SET7 represents a means of DNMT1 enzyme G9a DNMT1 turnover. [3H] 4-8 DNA methyltransferase ͉ methylated lysine ͉ proteasome ͉ protein degradation 8-12 H3 H4 ammalian DNA methylation is essential for development Mand is controlled by a variety of factors including 3 active >15 DNA cytosine methyltransferases (DNMT1, DNMT3A, and DNMT3B) and a methyltransferase-like protein, DNMT3L (1– 4). -
The Rb/Chromatin Connection and Epigenetic Control: Opinion
Oncogene (2001) 20, 3128 ± 3133 ã 2001 Nature Publishing Group All rights reserved 0950 ± 9232/01 $15.00 www.nature.com/onc The Rb/chromatin connection and epigenetic control: opinion Roger Ferreira1, Irina Naguibneva1, Linda L Pritchard1, Slimane Ait-Si-Ali1 and Annick Harel-Bellan*,1 1Laboratoire `OncogeneÁse, DieÂrenciation et Transduction du Signal', CNRS UPR 9079, Institut Andre Lwo, 7 rue Guy Moquet, Villejuif, France The balance between cell dierentiation and proliferation proteins' family that also includes p130 and p107 (for is regulated at the transcriptional level. In the cell cycle, reviews see Grana et al., 1998; Mulligan and Jacks, the transition from G1 to S phase (G1/S transition) is of 1998). Rb exerts its anti-proliferative activity, at least paramount importance in this regard. Indeed, it is only in part, by inhibiting the E2F transcription factor. Rb before this point that cells can be oriented toward the is regulated by phosphorylation: in non-cycling cells, or dierentiation pathway: beyond, cells progress into the in early G1, Rb is hypophosphorylated and inhibits cycle in an autonomous manner. The G1/S transition is E2F activity; during G1, Rb is progressively phos- orchestrated by the transcription factor E2F. E2F controls phorylated by cyclin-CDK complexes (for review see the expression of a group of checkpoint genes whose Harbour and Dean, 2000) and, as a consequence, loses products are required either for the G1-to-S transition its anity for E2F. The release of Rb triggers the itself or for DNA replication (e.g. DNA polymerase a). activation of E2F target genes, which allows the cells E2F activity is repressed in growth-arrested cells and in to proceed through the G1/S transition. -
Definition of the Landscape of Promoter DNA Hypomethylation in Liver Cancer
Published OnlineFirst July 11, 2011; DOI: 10.1158/0008-5472.CAN-10-3823 Cancer Therapeutics, Targets, and Chemical Biology Research Definition of the Landscape of Promoter DNA Hypomethylation in Liver Cancer Barbara Stefanska1, Jian Huang4, Bishnu Bhattacharyya1, Matthew Suderman1,2, Michael Hallett3, Ze-Guang Han4, and Moshe Szyf1,2 Abstract We use hepatic cellular carcinoma (HCC), one of the most common human cancers, as a model to delineate the landscape of promoter hypomethylation in cancer. Using a combination of methylated DNA immunopre- cipitation and hybridization with comprehensive promoter arrays, we have identified approximately 3,700 promoters that are hypomethylated in tumor samples. The hypomethylated promoters appeared in clusters across the genome suggesting that a high-level organization underlies the epigenomic changes in cancer. In normal liver, most hypomethylated promoters showed an intermediate level of methylation and expression, however, high-CpG dense promoters showed the most profound increase in gene expression. The demethylated genes are mainly involved in cell growth, cell adhesion and communication, signal transduction, mobility, and invasion; functions that are essential for cancer progression and metastasis. The DNA methylation inhibitor, 5- aza-20-deoxycytidine, activated several of the genes that are demethylated and induced in tumors, supporting a causal role for demethylation in activation of these genes. Previous studies suggested that MBD2 was involved in demethylation of specific human breast and prostate cancer genes. Whereas MBD2 depletion in normal liver cells had little or no effect, we found that its depletion in human HCC and adenocarcinoma cells resulted in suppression of cell growth, anchorage-independent growth and invasiveness as well as an increase in promoter methylation and silencing of several of the genes that are hypomethylated in tumors. -
Methyltransferase (AS3MT) and N-6 Adenine-Specific DNA Methyltransferase 1 (N6AMT1) Polymorphisms, Arsenic Metabolism, and Cancer Risk in a Chilean Population
HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Environ Manuscript Author Mol Mutagen. Author Manuscript Author manuscript; available in PMC 2018 July 01. Published in final edited form as: Environ Mol Mutagen. 2017 July ; 58(6): 411–422. doi:10.1002/em.22104. Associations between arsenic (+3 oxidation state) methyltransferase (AS3MT) and N-6 adenine-specific DNA methyltransferase 1 (N6AMT1) polymorphisms, arsenic metabolism, and cancer risk in a Chilean population Rosemarie de la Rosa1, Craig Steinmaus1, Nicholas K Akers1, Lucia Conde1, Catterina Ferreccio2, David Kalman3, Kevin R Zhang1, Christine F Skibola1, Allan H Smith1, Luoping Zhang1, and Martyn T Smith1 1Superfund Research Program, School of Public Health, University of California, Berkeley, CA 2Pontificia Universidad Católica de Chile, Santiago, Chile, Advanced Center for Chronic Diseases, ACCDiS 3School of Public Health, University of Washington, Seattle, WA Abstract Inter-individual differences in arsenic metabolism have been linked to arsenic-related disease risks. Arsenic (+3) methyltransferase (AS3MT) is the primary enzyme involved in arsenic metabolism, and we previously demonstrated in vitro that N-6 adenine-specific DNA methyltransferase 1 (N6AMT1) also methylates the toxic iAs metabolite, monomethylarsonous acid (MMA), to the less toxic dimethylarsonic acid (DMA). Here, we evaluated whether AS3MT and N6AMT1 gene polymorphisms alter arsenic methylation and impact iAs-related cancer risks. We assessed AS3MT and N6AMT1 polymorphisms and urinary arsenic metabolites (%iAs, %MMA, %DMA) in 722 subjects from an arsenic-cancer case-control study in a uniquely exposed area in northern Chile. Polymorphisms were genotyped using a custom designed multiplex, ligation-dependent probe amplification (MLPA) assay for 6 AS3MT SNPs and 14 tag SNPs in the N6AMT1 gene.