Regulation of Adipocyte Differentiation by METTL4, a 6 Ma

Total Page:16

File Type:pdf, Size:1020Kb

Regulation of Adipocyte Differentiation by METTL4, a 6 Ma www.nature.com/scientificreports OPEN Regulation of Adipocyte Diferentiation by METTL4, a 6 mA Methylase Zhenxi Zhang1, Yingzi Hou1, Yao Wang1, Tao Gao1, Ziyue Ma1, Ying Yang2, Pei Zhang1, Fan Yi1, Jun Zhan1,3, Hongquan Zhang1,3 & Quan Du1 ✉ As one of the most abundant DNA methylation form in prokaryotes, N6-methyladenine nucleotide (6 mA) was however only recently identifed in eukaryotic genomes. To explore the implications of N6- adenine methylation in adipogenesis, genomic N6-adenine methylation was examined across adipocyte diferentiation stages of 3T3-L1 cells. When the N6-adenine methylation profles were analyzed and compared with the levels of gene expression, a positive correlation between the density of promoter 6 mA and gene expression level was uncovered. By means of in vitro methylation and gene knockdown assay, METTL4, a homologue of Drosophila methylase CG14906 and C. elegans methylase DAMT-1, was demonstrated to be a mammalian N6-adenine methylase that functions in adipogenesis. Knockdown of Mettl4 led to altered adipocyte diferentiation, shown by defective gene regulation and impaired lipid production. We also found that the efects of N6-adenine methylation on lipid production involved the regulation of INSR signaling pathway, which promotes glucose up-taking and lipid production in the terminal diferentiation stage. As a major epigenetic modifcation, genomic DNA methylation is of critical importance to many cellular pro- cesses such as expressional regulation, imprinting, X chromosome inactivation, and tumorigenesis1,2. Until very recently, 5-methylcytosine (5mC) has been known to be the only DNA methylation form in eukaryotic genomes3. Tis is however diferent from that of prokaryotes, in which 6 mA is another major DNA methylation form and involved in expressional regulation, genome replication as well as restriction-modifcation systems4,5. Te presence of 6 mA was recently revealed in diverse eukaryotic genomes, including Chlamydomonas reinhardtii, Caenorhabiditis elegans, Drosophila melanogaster, zebrafsh, pig, Arabidopsis thaliana, mouse and humans6–13. ALKBH1 was identifed in 2016 as a 6 mA demethylase involved in the regulation of long interspersed nuclear element1 (LINE-1)13. More recently, 6 mA was found to be involved in tumorigenesis, and its efects were medi- ated by ALKBH1 and N6AMT1. N6AMT1 was reported in 2018 to be the frst mammalian 6 mA methylase14. Despite those progresses, many essential aspects of the metabolism and biological consequences of 6 mA remain to be known. Adipocyte diferentiation of 3T3-L1 preadipocytes has been used as a classic in vitro model system of adi- pogenesis. Induced by an MDI cocktail consisting of insulin, dexamethasone and 3-isobutyl-1-methyxanthine, the preadipocytes exit from cell proliferation and enter into terminal diferentiation stage, to generate matured adipocytes. During this process, the cells undergo stages of growth-arrest’, hormone induction, mitotic clonal expansion, and terminal diferentiation. Widespread epigenetic modifcations have been recently revealed during the diferentiation, shown by dynamic chromosome modifcations and complex gene regulation15. Genomic 5mC methylations have been found to be involved in this process, regulating the expression of many adipogenic factors such as Fabp4, Glut4 and Lep16–18. However, whether N6-adenine methylation is also involved in the MDI-induced maturation of adipocytes is still unknown. In the present study, we examined the genomic distribution of 6 mA by means of immunoprecipitation/sequencing assay (6mA-IP-seq), and explored its roles in adipocyte diferenti- ation of 3T3-L1 cells and the underlying mechanisms. 1State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China. 2Department of Stomatology, Beijing Friendship Hospital, Capital Medical University, 95 Yong’an Road, Western District, Beijing, 100050, China. 3Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Health Science Center, Beijing, 100191, China. ✉e-mail: quan. [email protected] SCIENTIFIC REPORTS | (2020) 10:8285 | https://doi.org/10.1038/s41598-020-64873-w 1 www.nature.com/scientificreports/ www.nature.com/scientificreports Figure 1. Profling of N6-adenine methylation in adipocyte diferentiation of 3T3-L1 cells. (a) Staining of cellular lipid of preadipocytes on Day(0), diferentiating adipocytes on Day(+4), and mature adipocytes on Day(+8). Lipid staining was performed with Bodipy 493/503 (Green) and Oil red O (Red), nuclei were co- stained with Hoechst 33342 (Blue). (b) Expression profles of Cebpa and Pparg were determined by qRT-PCR, in relative to the expression of β-actin. (c) Workfow to quantify 6 mA abundance of genome DNA sample. (d) Dot blot assay of N6-adenine methylation. NC, a DNA oligo without N6-adenine methylation. 6mA-oligo, a DNA oligo containing one N6-adenine methylation. Genome DNA, genome DNAs extracted from 3T3-L1 preadipocytes. (e,f) Abundances of 6 mA and 5mC methylation were quantifed using HPLC-MS/MS analysis. Molar ratios of 6 mA to dA were calculated, and molar ratios of 5mC to dC were calculated. Data are presented as mean ± s.d, n > 3 independent assay. *P < 0.05; **P < 0.01; ***P < 0.001. Results Dynamic changes of genomic N6-adenine methylation during adipocyte diferentiation. To explore the involvement of N6-adenine methylation in adipogenesis, the extents of genome-wide modifcation were determined during the diferentiation of 3T3-L1 cells. Upon induction with MDI, proliferating 3T3-L1 cells undergo the process of diferentiation, which recapitulates the major events occurring in vivo. To facilitate the description of the process, the day to perform MDI induction is called day(0). Accordingly, the cells grew to confuence on day(−2) and entered into the “growth-arrest” stage from day(−2). Afer MDI induction on day(0), the cells proceeded to a mitotic clonal expansion stage and entered into a terminal diferentiation stage from day(+2) on. To monitor the progress of diferentiation, Bodipy and Oil red O staining were performed (Fig. 1a). In addi- tion to checking the production of cellular lipids, regulation of the major adipogenic factors were also examined by gene expression assay (Fig. 1b). By means of dot blot assay, the presence of genomic N6-adenine methylation was confrmed in proliferating 3T3-L1 cells (Fig. 1c,d). To rule out potential contamination of bacteria or myco- plasma, assays were performed with universal 16 S primer sets (Supplementary Fig. S1a)10, and a commercial mycoplasma detection kit (Supplementary Fig. S1b). To quantitatively determine the presence of 6 mA, genomic DNAs were extracted from the cells collected on day(−2) before MDI treatment and day(0), day(+2) and day(+4) afer MDI treatment, representing proliferating preadipocytes, growth-arresting cells, diferentiating adipocytes, and matured adipocytes. DNA samples were then sequentially degraded with RNase, DNase I and nuclease P1. Te resulting nucleoside products were sepa- rated and quantifed using a LC-MS/MS system19, with dA, dC, 5mC and 6 mA as the standards. Te abundance of genomic 6 mA was presented as the molar ratio to dA. In proliferating preadipocytes, a relatively low level (0.01%) of 6 mA was found. With the progress of diferentiation, 6 mA levels gradually increased and reached a peak of 0.06% at the terminal stage (Fig. 1e). Comparing with 6 mA, 5mC showed a relatively stable profle during the process (Fig. 1f). SCIENTIFIC REPORTS | (2020) 10:8285 | https://doi.org/10.1038/s41598-020-64873-w 2 www.nature.com/scientificreports/ www.nature.com/scientificreports Figure 2. 6mA-IP-seq and RNA-seq of mature adipocytes. (a) Genome-wide distribution of N6-adenine methylation. (b) Distribution profles of 6 mA in transposon elements. (c) Chromosome-wide distribution of 6 mA. For each chromosome, a chromosome length ratio was calculated by dividing its length in nucleotide against the total length of the genome, a 6 mA ratio was calculated by dividing the number of its 6 mA sites against the number of the total 6 mA sites. Ten, an 6 mA abundance index was calculated by subtracting the 6 mA ratio by its chromosome length ratio. (d) Sequence motifs of 6 mA sites. (e) Comparison of the median and interquartile range of gene expression between genes without 6 mA sites (Non-6mA), genes with 6 mA sites (6 mA) and genes with 6 mA sites around TSS region (TSS), in 3T3-L1 cell of Day(+4). (f) 6 mA profle around TSS region, for genes with high (FPKM > 50) and low (FPKM < 50) expression level. Reads densities were normalized by RPKM algorithm. Genomic N6-adenine methylation detected by immunoprecipitation and sequenc - ing. Genomic N6-adenine methylation was further investigated by immunoprecipitation and sequencing (6mA-IP-seq). 6mA-IP-seq was performed with DNA samples of preadipocytes and matured adipocytes. Te genomic DNAs were sonicated into fragments of 100–500 bp, ligated to adaptors with unique sequence index, denatured to single-stranded DNA, and immuno-precipitated to obtain fragments carrying N6-adenine meth- ylation. 6mA-containing fragments were PCR amplifed, and sequenced on an Illumina HiSeq. 2000 platform. From a total of 118 million sequencing reads, 114 million clean reads were obtained. Tis led to a clean read ratio of 0.9689, much higher than the threshold ratio of 0.75 that indicated a high-quality sequencing data. Sequencing reads were then mapped to mouse reference genome (NCBI37/mm10), using TopHat
Recommended publications
  • Noelia Díaz Blanco
    Effects of environmental factors on the gonadal transcriptome of European sea bass (Dicentrarchus labrax), juvenile growth and sex ratios Noelia Díaz Blanco Ph.D. thesis 2014 Submitted in partial fulfillment of the requirements for the Ph.D. degree from the Universitat Pompeu Fabra (UPF). This work has been carried out at the Group of Biology of Reproduction (GBR), at the Department of Renewable Marine Resources of the Institute of Marine Sciences (ICM-CSIC). Thesis supervisor: Dr. Francesc Piferrer Professor d’Investigació Institut de Ciències del Mar (ICM-CSIC) i ii A mis padres A Xavi iii iv Acknowledgements This thesis has been made possible by the support of many people who in one way or another, many times unknowingly, gave me the strength to overcome this "long and winding road". First of all, I would like to thank my supervisor, Dr. Francesc Piferrer, for his patience, guidance and wise advice throughout all this Ph.D. experience. But above all, for the trust he placed on me almost seven years ago when he offered me the opportunity to be part of his team. Thanks also for teaching me how to question always everything, for sharing with me your enthusiasm for science and for giving me the opportunity of learning from you by participating in many projects, collaborations and scientific meetings. I am also thankful to my colleagues (former and present Group of Biology of Reproduction members) for your support and encouragement throughout this journey. To the “exGBRs”, thanks for helping me with my first steps into this world. Working as an undergrad with you Dr.
    [Show full text]
  • N6AMT1 / HEMK2 (1-214, His-Tag) Human Protein – AR51691PU-N
    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 AR51691PU-N N6AMT1 / HEMK2 (1-214, His-tag) Human Protein Product data: Product Type: Recombinant Proteins Description: N6AMT1 / HEMK2 (1-214, His-tag) human recombinant protein, 0.1 mg Species: Human Expression Host: E. coli Tag: His-tag Predicted MW: 25.3 kDa Concentration: lot specific Purity: >85% by SDS - PAGE Buffer: Presentation State: Purified Buffer System: Liquid, In Phosphate buffered saline (pH7.4) containing 20% glycerol, 1mM DTT. Protein Description: Recombinant human N6ATM1 protein, fused to His-tag at N-terminus, was expressed in E.coli and purified by using conventional chromatography techniques. Storage: Store undiluted at 2-8°C for one week or (in aliquots) at -20°C to -80°C for longer. Avoid repeated freezing and thawing. Stability: Shelf life: one year from despatch. RefSeq: NP_037372 Locus ID: 29104 UniProt ID: Q9Y5N5 Cytogenetics: 21q21.3 Synonyms: C21orf127; HEMK2; KMT9; m.HsaHemK2P; MTQ2; N6AMT; PRED28; PrmC Summary: This gene encodes an N(6)-adenine-specific DNA methyltransferase. The encoded enzyme may be involved in the methylation of release factor I during translation termination. This enzyme is also involved in converting the arsenic metabolite monomethylarsonous acid to the less toxic dimethylarsonic acid. Alternative splicing pf this gene results in multiple transcript variants. A related pseudogene has been identified on chromosome 11. [provided by RefSeq, Jul 2014] Protein Families: Druggable Genome This product is to be used for laboratory only.
    [Show full text]
  • N6AMT1 Rabbit Pab
    Leader in Biomolecular Solutions for Life Science N6AMT1 Rabbit pAb Catalog No.: A7201 Basic Information Background Catalog No. This gene encodes an N(6)-adenine-specific DNA methyltransferase. The encoded A7201 enzyme may be involved in the methylation of release factor I during translation termination. This enzyme is also involved in converting the arsenic metabolite Observed MW monomethylarsonous acid to the less toxic dimethylarsonic acid. Alternative splicing pf 23KDa this gene results in multiple transcript variants. A related pseudogene has been identified on chromosome 11. Calculated MW 19kDa/22kDa Category Primary antibody Applications WB, IHC, IF Cross-Reactivity Human, Mouse, Rat Recommended Dilutions Immunogen Information WB 1:500 - 1:2000 Gene ID Swiss Prot 29104 Q9Y5N5 IHC 1:50 - 1:200 Immunogen 1:50 - 1:100 IF Recombinant fusion protein containing a sequence corresponding to amino acids 1-186 of human N6AMT1 (NP_877426.3). Synonyms N6AMT1;C21orf127;HEMK2;MTQ2;N6AMT;PRED28;m.HsaHemK2P Contact Product Information www.abclonal.com Source Isotype Purification Rabbit IgG Affinity purification Storage Store at -20℃. Avoid freeze / thaw cycles. Buffer: PBS with 0.02% sodium azide,50% glycerol,pH7.3. Validation Data Western blot analysis of extracts of Rat kidney, using N6AMT1 antibody (A7201) at 1:1000 dilution. Secondary antibody: HRP Goat Anti-Rabbit IgG (H+L) (AS014) at 1:10000 dilution. Lysates/proteins: 25ug per lane. Blocking buffer: 3% nonfat dry milk in TBST. Detection: ECL Basic Kit (RM00020). Exposure time: 90s. Immunohistochemistry of paraffin- Immunohistochemistry of paraffin- Immunofluorescence analysis of PC-12 embedded rat brain using N6AMT1 embedded human kidney using N6AMT1 cells using N6AMT1 Rabbit pAb (A7201) at Antibody (A7201) at dilution of 1:100 (40x Antibody (A7201) at dilution of 1:100 (40x dilution of 1:100 (40x lens).
    [Show full text]
  • 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.
    [Show full text]
  • Genetic and Non-Genetic Factors Associated with the Phenotype Of
    www.nature.com/scientificreports OPEN Genetic and non‑genetic factors associated with the phenotype of exceptional longevity & normal cognition Bin Han1, Huashuai Chen2,3, Yao Yao7, Xiaomin Liu4,5, Chao Nie4,5, Junxia Min6, Yi Zeng2,7* & Michael W. Lutz8* In this study, we split 2156 individuals from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) data into two groups, establishing a phenotype of exceptional longevity & normal cognition versus cognitive impairment. We conducted a genome‑wide association study (GWAS) to identify signifcant genetic variants and biological pathways that are associated with cognitive impairment and used these results to construct polygenic risk scores. We elucidated the important and robust factors, both genetic and non‑genetic, in predicting the phenotype, using several machine learning models. The GWAS identifed 28 signifcant SNPs at p‑value < 3 × 10−5 signifcance level and we pinpointed four genes, ESR1, PHB, RYR3, GRIK2, that are associated with the phenotype though immunological systems, brain function, metabolic pathways, infammation and diet in the CLHLS cohort. Using both genetic and non‑genetic factors, four machine learning models have close prediction results for the phenotype measured in Area Under the Curve: random forest (0.782), XGBoost (0.781), support vector machine with linear kernel (0.780), and ℓ2 penalized logistic regression (0.780). The top four important and congruent features in predicting the phenotype identifed by these four models are: polygenic risk score, sex, age, and education. Cognitive Impairment (CI) is defned as the loss of ability in cognitive functions, such as remembering, learning, and concentrating, which negatively impacts afected individuals’ daily activities1.
    [Show full text]
  • Variation in Protein Coding Genes Identifies Information Flow
    bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Animal complexity and information flow 1 1 2 3 4 5 Variation in protein coding genes identifies information flow as a contributor to 6 animal complexity 7 8 Jack Dean, Daniela Lopes Cardoso and Colin Sharpe* 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Institute of Biological and Biomedical Sciences 25 School of Biological Science 26 University of Portsmouth, 27 Portsmouth, UK 28 PO16 7YH 29 30 * Author for correspondence 31 [email protected] 32 33 Orcid numbers: 34 DLC: 0000-0003-2683-1745 35 CS: 0000-0002-5022-0840 36 37 38 39 40 41 42 43 44 45 46 47 48 49 Abstract bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Animal complexity and information flow 2 1 Across the metazoans there is a trend towards greater organismal complexity. How 2 complexity is generated, however, is uncertain. Since C.elegans and humans have 3 approximately the same number of genes, the explanation will depend on how genes are 4 used, rather than their absolute number.
    [Show full text]
  • Chromosome 21: a Small Land of Fascinating Disorders with Unknown Pathophysiology
    Int. J. Dev. Biol. 46: 89-96 (2002) Chromosome 21: a small land of fascinating disorders with unknown pathophysiology STYLIANOS E. ANTONARAKIS*, ROBERT LYLE, SAMUEL DEUTSCH and ALEXANDRE REYMOND Division of Medical Genetics, University of Geneva Medical School and University Hospitals, Geneva, Switzerland ABSTRACT In the year 2000 we celebrated the sequencing of the entire long arm of human chromosome 21. This achievement now provides unprecedented opportunities to understand the molecular pathophysiology of trisomy 21, elucidate the mechanisms of all monogenic disorders of chromosome 21, and discover genes and functional sequence variations that predispose to common complex disorders. All of that requires the functional analysis of gene products in model organisms, and the determination of the sequence variation of this chromosome. KEY WORDS: Down Syndrome, HC21, molecular pathology, trisomy 21, single nucleotide polymorphism The Sequence of HC21 and the Gene Catalogue gaps in regions with long stretches of repeats in which it was impossible to know if the entire repeat was sequenced. A region of On May 18, 2000, the (almost) entire sequence of 21q was 281 kb from the short arm 21p has also been sequenced and contains published and became freely available (Hattori et al., 2000). This just one gene (TPTE). landmark publication concluded research efforts of many investiga- Only approximately 3% of the sequence encodes for proteins; in tors and laboratories that studied the infrastructure of HC21 over the addition 1.3% encodes for short sequence repeats that may be last 15 years. Other historical landmarks of research on chromosome polymorphic in human populations. About 10.8% of the sequence are 21 include the first description of trisomy 21 in 1959 (Lejeune et al., SINE and 15.5% LINE repeats respectively; an additional 11.7% are 1959), first cloning of a chromosome 21 gene in 1982 (Lieman- other human repeats (total interspersed repeats 38% of the se- Hurwitz et al., 1982), first disease-related gene mutation identified in quence).
    [Show full text]
  • (M6da) Drives Activity-Induced Gene Expression and Is Required for Fear Extinction
    HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Nat Neurosci Manuscript Author . Author manuscript; Manuscript Author available in PMC 2019 August 18. Published in final edited form as: Nat Neurosci. 2019 April ; 22(4): 534–544. doi:10.1038/s41593-019-0339-x. The DNA modification N6-methyl-2’-deoxyadenosine (m6dA) drives activity-induced gene expression and is required for fear extinction Xiang Li1,#,♭, Qiongyi Zhao1,#, Wei Wei1, Quan Lin2, Christophe Magnan3, Michael R. Emami4, Luis E. Wearick da Silva5, Thiago W. Viola5, Paul R. Marshall1, Jiayu Yin1, Sachithrani U. Madugalle1, Ziqi Wang, Sarah Nainar6, Cathrine Broberg Vågbø7, Laura J. Leighton1, Esmi L. Zajaczkowski1, Ke Ke6, Rodrigo Grassi-Oliveira5, Magnar Bjørås7, Pierre F. Baldi3, Robert C. Spitale6, and Timothy W. Bredy1,♭ 1Cognitive Neuroepigenetics Laboratory, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia 2Intellectual Development and Disabilities Research Center, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA 3Department of Computer Science and Institute for Genomics and Bioinformatics, University of California Irvine, Irvine, CA, USA 4Department of Neurobiology and Behavior and Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, CA, USA 5Biomedical Research Institute, Pontifical Catholic University of Rio Grande do Sul, Porto Alege, Brazil 6Department of Pharmaceutical Sciences, University of California Irvine, Irvine, CA, USA Competing Interests: The authors declare no competing financial interests. Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms ♭ Please send correspondence to: Timothy W.
    [Show full text]
  • The Epigenetic Roles of DNA N6-Methyladenine (6Ma) Modification in Eukaryotes
    Cancer Letters 494 (2020) 40–46 Contents lists available at ScienceDirect Cancer Letters journal homepage: www.elsevier.com/locate/canlet The epigenetic roles of DNA N6-Methyladenine (6mA) modification in eukaryotes Kou-Juey Wu a,b,c,* a Cancer Genome Research Center, Chang Gung Memorial Hospital at Linkou, Taoyuan, 333, Taiwan b Institute of Cellular and Organismic Biology, Academia Sinica, Taipei, 115, Taiwan c Institute of Clinical Medical Sciences, Chang Gung University, Taoyuan, 333, Taiwan ARTICLE INFO ABSTRACT Keywords: The DNA N6-methyladenine (6mA) modification is a prevalent epigenetic mark in prokaryotes, but the low Epigenetic mark abundance of 6mA in eukaryotes has recently received attention. The possible role of 6mA as an epigenetic mark Methyltransferase in eukaryotes is starting to be recognized. This review article addresses the epigenetic roles of 6mA in eukaryotes. Demethylase The existence of 6mA in metazoans and plants, the correlation of 6mA with gene expression, the enzymes Chromatin catalyzing the deposition and removal of the 6mA modification, the relationship of 6mA to nucleosome posi­ Gene expression Nucleosome positioning tioning, the 6mA interaction with chromatin, its role in tumorigenesis and other physiological conditions/dis­ eases and technical issues in 6mA detection/profiling and bioinformatics analysis are described. New directions and unresolved issues (e.g., the base-pair-resolution 6mA-sequencing method and gene activation vs. repression) in 6mA research are discussed. 1. The prevalence of 6mA in prokaryotes and its functions well-characterized epigenetic mark in mammalian genomes that has multiple functions [9], the role of 6mA modificationin eukaryotes is just Prevalent DNA N6-methyladenine (6mA or m6dA) modifications in starting to be elucidated and remains to be extensively characterized prokaryotes (as much as 1.5% of total adenine in E.
    [Show full text]
  • Human Hemk2/KMT9/N6AMT1 Is an Active Protein Methyltransferase, but Does Not Act on DNA in Vitro, in the Presence of Trm112 Clayton B
    Woodcock et al. Cell Discovery (2019) 5:50 Cell Discovery https://doi.org/10.1038/s41421-019-0119-5 www.nature.com/celldisc CORRESPONDENCE Open Access Human HemK2/KMT9/N6AMT1 is an active protein methyltransferase, but does not act on DNA in vitro, in the presence of Trm112 Clayton B. Woodcock1,DanYu1, Xing Zhang1 and Xiaodong Cheng1 Dear Editor, MTases3, but is a tRNA cytosine-C5 MTase;4 and Ever since the initial discovery and characterization of Escherichia coli (E. coli) HemK, which was thought to be a 1 5 6,7 S-adenosyl-L-methionine (SAM) , the ATP-activated form DNA amino MTase , yet is a protein glutamine MTase . of methionine, SAM has become the second most com- The conservation in an enzyme’s sequence and structure monly used enzyme cofactor after ATP. A wide variety of merely reflects the conserved nature of catalyzing the macromolecules, including DNA, RNA, proteins, poly- methyl transfer onto cytosine-C5 (of DNA and RNA) or saccharides, lipids, and a range of small molecules are amino-group (of adenine and glutamine). subject to methylation by highly specific SAM-dependent Recently, mammalian HemK2 (NCBI Reference methyltransferases (MTases) acting on a particular target Sequence NP_037372.4) has been documented to be a atom. Examples of methylation targets include nucleic DNA adenine-N6 MTase8 (renamed as N6AMT1) and a acids (cytosine-C5, cytosine-N4 and adenine-N6), protein histone H4 lysine-12 MTase9 (renamed as KMT9), in residues (arginine-N, lysine-N, glutamine-N and histi- addition to its known activity of glutamine methylation of dine-N), and small molecules (catechol-O, histamine-N, eukaryotic release factor eRF110.
    [Show full text]
  • Systematic Functional Characterization of Human 21St Chromosome Orthologs In
    G3: Genes|Genomes|Genetics Early Online, published on January 24, 2018 as doi:10.1534/g3.118.200019 SECTION: Genome and Systems Biology Systematic Functional Characterization of Human 21st Chromosome Orthologs in Caenorhabditis elegans SARAH K. NORDQUIST*, SOFIA R. SMITH, JONATHAN T. PIERCE *,§ *Institute for Neuroscience, § Institute for Cellular and Molecular Biology, § Center for Learning and Memory, § Waggoner Center for Alcohol & Addiction Research, Department of Neuroscience, The University of Texas at Austin, TX, 78712 1 © The Author(s) 2013. Published by the Genetics Society of America. Short running title: Roles of HSA21 Orthologs in C. elegans Key words: Down syndrome, neuromuscular, neurological, synaptic §To whom correspondence should be addressed: Jonathan T. Pierce University of Texas at Austin Department of Neuroscience 2506 Speedway NMS 5.234 Mailcode C7350 Austin, TX 78712 E-mail: [email protected] Phone: 512-232-4137 2 ABSTRACT Individuals with Down syndrome have neurological and muscle impairments due to an additional copy of the human 21st chromosome (HSA21). Only a few of ~200 HSA21 genes encoding protein have been linked to specific Down syndrome phenotypes, while the remainder are understudied. To identify poorly characterized HSA21 genes required for nervous system function, we studied behavioral phenotypes caused by loss-of- function mutations in conserved HSA21 orthologs in the nematode Caenorhabditis elegans. We identified ten HSA21 orthologs that are required for neuromuscular behaviors: cle-1 (COL18A1), cysl-2 (CBS), dnsn-1 (DONSON), eva-1 (EVA1C), mtq-2 (N6ATM1), ncam-1 (NCAM2), pad-2 (POFUT2), pdxk-1 (PDXK), rnt-1 (RUNX1), and unc-26 (SYNJ1). We also found that three of these genes are required for normal release of the neurotransmitter acetylcholine.
    [Show full text]
  • Gene-Environment Interaction and Maternal Arsenic Methylation Efficiency During Pregnancy
    HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Environ Manuscript Author Int. Author manuscript; Manuscript Author available in PMC 2020 October 28. Published in final edited form as: Environ Int. 2019 April ; 125: 43–50. doi:10.1016/j.envint.2019.01.042. Gene-environment interaction and maternal arsenic methylation efficiency during pregnancy Shangzhi Gaoa, Md. Golam Mostofab, Quazi Quamruzzamanb, Mahmudur Rahmanb, Mohammad Rahmana, Li Sua, Yu-mei Hsuehc,d, Marc Weisskopfa,e, Brent Coulla,f, David C. Christiania,g,* aDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA bDhaka Community Hospital Trust, Dhaka, Bangladesh cDepartment of Family Medicine, Taipei Medical University Hospital, Taipei, Taiwan dDepartment of Public Health, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan eDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA fDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA gPulmonary and Critical Care Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA Abstract Background: Single nucleotide polymorphisms (SNPs) may influence arsenic methylation efficiency, affecting arsenic metabolism. Whether gene-environment interactions affect arsenic metabolism during pregnancy remains unclear, which may have implications for pregnancy outcomes. Objective: We aimed to investigate main effects as well as potential SNP-arsenic interactions on arsenic methylation efficiency in pregnant women. Method: We recruited 1613 pregnant women in Bangladesh, and collected two urine samples from each participant, one at 4–16 weeks, and the second at 21–37 weeks of pregnancy. We determined the proportions of each arsenic metabolite [inorganic As (iAs)%, monomethylarsonic acid (MMA)%, and dimethylarsinic acid (DMA)%] from the total urinary arsenic level of each sample.
    [Show full text]