M6a Modification in RNA: Biogenesis, Functions and Roles in Gliomas
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Genome Wide Association Study of Response to Interval and Continuous Exercise Training: the Predict‑HIIT Study Camilla J
Williams et al. J Biomed Sci (2021) 28:37 https://doi.org/10.1186/s12929-021-00733-7 RESEARCH Open Access Genome wide association study of response to interval and continuous exercise training: the Predict-HIIT study Camilla J. Williams1†, Zhixiu Li2†, Nicholas Harvey3,4†, Rodney A. Lea4, Brendon J. Gurd5, Jacob T. Bonafglia5, Ioannis Papadimitriou6, Macsue Jacques6, Ilaria Croci1,7,20, Dorthe Stensvold7, Ulrik Wislof1,7, Jenna L. Taylor1, Trishan Gajanand1, Emily R. Cox1, Joyce S. Ramos1,8, Robert G. Fassett1, Jonathan P. Little9, Monique E. Francois9, Christopher M. Hearon Jr10, Satyam Sarma10, Sylvan L. J. E. Janssen10,11, Emeline M. Van Craenenbroeck12, Paul Beckers12, Véronique A. Cornelissen13, Erin J. Howden14, Shelley E. Keating1, Xu Yan6,15, David J. Bishop6,16, Anja Bye7,17, Larisa M. Haupt4, Lyn R. Grifths4, Kevin J. Ashton3, Matthew A. Brown18, Luciana Torquati19, Nir Eynon6 and Jef S. Coombes1* Abstract Background: Low cardiorespiratory ftness (V̇O2peak) is highly associated with chronic disease and mortality from all causes. Whilst exercise training is recommended in health guidelines to improve V̇O2peak, there is considerable inter-individual variability in the V̇O2peak response to the same dose of exercise. Understanding how genetic factors contribute to V̇O2peak training response may improve personalisation of exercise programs. The aim of this study was to identify genetic variants that are associated with the magnitude of V̇O2peak response following exercise training. Methods: Participant change in objectively measured V̇O2peak from 18 diferent interventions was obtained from a multi-centre study (Predict-HIIT). A genome-wide association study was completed (n 507), and a polygenic predictor score (PPS) was developed using alleles from single nucleotide polymorphisms= (SNPs) signifcantly associ- –5 ated (P < 1 10 ) with the magnitude of V̇O2peak response. -
Caspases Switch Off M6a RNA Modification Pathway to Reactivate A
bioRxiv preprint doi: https://doi.org/10.1101/2020.11.12.377127; this version posted November 13, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. 6 1 Caspases switch off m A RNA modification pathway to reactivate a 2 ubiquitous human tumor virus 3 Kun Zhang1,2, Yucheng Zhang3, Jun Wan3,4,5 and Renfeng Li1,2,6,7,8* 4 1Philips Institute for Oral Health Research, School of Dentistry, Virginia Commonwealth 5 University, Richmond, Virginia, 23298, USA 6 2Department of Oral and Craniofacial Molecular Biology, School of Dentistry, Virginia 7 Commonwealth University, Richmond, Virginia, 23298, USA 8 3Department of Medical and Molecular Genetics, Indiana University School of Medicine, 9 Indianapolis, Indiana, 46202, USA 10 4Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, 11 Indianapolis, Indiana, 46202, USA. 12 5Department of BioHealth Informatics, School of Informatics and Computing, Indiana University 13 – Purdue University at Indianapolis, Indianapolis, Indiana, 46202, USA 14 6Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth 15 University, Richmond, Virginia, 23298, USA 16 7Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, 23298, USA. 17 8Lead Contact 18 19 *Corresponding author: [email protected] (RL) 20 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.11.12.377127; this version posted November 13, 2020. 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. -
Bioinformatics Analyses of Genomic Imprinting
Bioinformatics Analyses of Genomic Imprinting Dissertation zur Erlangung des Grades des Doktors der Naturwissenschaften der Naturwissenschaftlich-Technischen Fakultät III Chemie, Pharmazie, Bio- und Werkstoffwissenschaften der Universität des Saarlandes von Barbara Hutter Saarbrücken 2009 Tag des Kolloquiums: 08.12.2009 Dekan: Prof. Dr.-Ing. Stefan Diebels Berichterstatter: Prof. Dr. Volkhard Helms Priv.-Doz. Dr. Martina Paulsen Vorsitz: Prof. Dr. Jörn Walter Akad. Mitarbeiter: Dr. Tihamér Geyer Table of contents Summary________________________________________________________________ I Zusammenfassung ________________________________________________________ I Acknowledgements _______________________________________________________II Abbreviations ___________________________________________________________ III Chapter 1 – Introduction __________________________________________________ 1 1.1 Important terms and concepts related to genomic imprinting __________________________ 2 1.2 CpG islands as regulatory elements ______________________________________________ 3 1.3 Differentially methylated regions and imprinting clusters_____________________________ 6 1.4 Reading the imprint __________________________________________________________ 8 1.5 Chromatin marks at imprinted regions___________________________________________ 10 1.6 Roles of repetitive elements ___________________________________________________ 12 1.7 Functional implications of imprinted genes _______________________________________ 14 1.8 Evolution and parental conflict ________________________________________________ -
'Next- Generation' Sequencing Data Analysis
Novel Algorithm Development for ‘Next- Generation’ Sequencing Data Analysis Agne Antanaviciute Submitted in accordance with the requirements for the degree of Doctor of Philosophy University of Leeds School of Medicine Leeds Institute of Biomedical and Clinical Sciences 12/2017 ii The candidate confirms that the work submitted is her own, except where work which has formed part of jointly-authored publications has been included. The contribution of the candidate and the other authors to this work has been explicitly given within the thesis where reference has been made to the work of others. This copy has been supplied on the understanding that it is copyright material and that no quotation from the thesis may be published without proper acknowledgement ©2017 The University of Leeds and Agne Antanaviciute The right of Agne Antanaviciute to be identified as Author of this work has been asserted by her in accordance with the Copyright, Designs and Patents Act 1988. Acknowledgements I would like to thank all the people who have contributed to this work. First and foremost, my supervisors Dr Ian Carr, Professor David Bonthron and Dr Christopher Watson, who have provided guidance, support and motivation. I could not have asked for a better supervisory team. I would also like to thank my collaborators Dr Belinda Baquero and Professor Adrian Whitehouse for opening new, interesting research avenues. A special thanks to Dr Belinda Baquero for all the hard wet lab work without which at least half of this thesis would not exist. Thanks to everyone at the NGS Facility – Carolina Lascelles, Catherine Daley, Sally Harrison, Ummey Hany and Laura Crinnion – for the generation of NGS data used in this work and creating a supportive and stimulating work environment. -
Large-Scale Functional Prediction of Individual M6a RNA Methylation Sites from an RNA Co-Methylation Network
Wu et al. BMC Bioinformatics (2019) 20:223 https://doi.org/10.1186/s12859-019-2840-3 RESEARCHARTICLE Open Access m6Acomet: large-scale functional prediction of individual m6A RNA methylation sites from an RNA co- methylation network Xiangyu Wu1,2, Zhen Wei1,2, Kunqi Chen1,2, Qing Zhang1,4, Jionglong Su5, Hui Liu6, Lin Zhang6* and Jia Meng1,3* Abstract Background: Over one hundred different types of post-transcriptional RNA modifications have been identified in human. Researchers discovered that RNA modifications can regulate various biological processes, and RNA methylation, especially N6-methyladenosine, has become one of the most researched topics in epigenetics. Results: To date, the study of epitranscriptome layer gene regulation is mostly focused on the function of mediator proteins of RNA methylation, i.e., the readers, writers and erasers. There is limited investigation of the functional relevance of individual m6A RNA methylation site. To address this, we annotated human m6A sites in large-scale based on the guilt-by-association principle from an RNA co-methylation network. It is constructed based on public human MeRIP-Seq datasets profiling the m6A epitranscriptome under 32 independent experimental conditions. By systematically examining the network characteristics obtained from the RNA methylation profiles, a total of 339,158 putative gene ontology functions associated with 1446 human m6A sites were identified. These are biological functions that may be regulated at epitranscriptome layer via reversible m6A RNA methylation. The results were further validated on a soft benchmark by comparing to a random predictor. Conclusions: An online web server m6Acomet was constructed to support direct query for the predicted biological functions of m6A sites as well as the sites exhibiting co-methylated patterns at the epitranscriptome layer. -
Novel Candidate Genes of Thyroid Tumourigenesis Identified in Trk-T1 Transgenic Mice
Endocrine-Related Cancer (2012) 19 409–421 Novel candidate genes of thyroid tumourigenesis identified in Trk-T1 transgenic mice Katrin-Janine Heiliger*, Julia Hess*, Donata Vitagliano1, Paolo Salerno1, Herbert Braselmann, Giuliana Salvatore 2, Clara Ugolini 3, Isolde Summerer 4, Tatjana Bogdanova5, Kristian Unger 6, Gerry Thomas6, Massimo Santoro1 and Horst Zitzelsberger Research Unit of Radiation Cytogenetics, Helmholtz Zentrum Mu¨nchen, Ingolsta¨dter Landstr. 1, 85764 Neuherberg, Germany 1Istituto di Endocrinologia ed Oncologia Sperimentale del CNR, c/o Dipartimento di Biologia e Patologia Cellulare e Molecolare, Universita` Federico II, Naples 80131, Italy 2Dipartimento di Studi delle Istituzioni e dei Sistemi Territoriali, Universita` ‘Parthenope’, Naples 80133, Italy 3Division of Pathology, Department of Surgery, University of Pisa, 56100 Pisa, Italy 4Institute of Radiation Biology, Helmholtz Zentrum Mu¨nchen, 85764 Neuherberg, Germany 5Institute of Endocrinology and Metabolism, Academy of Medical Sciences of the Ukraine, 254114 Kiev, Ukraine 6Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London W12 0HS, UK (Correspondence should be addressed to H Zitzelsberger; Email: [email protected]) *(K-J Heiliger and J Hess contributed equally to this work) Abstract For an identification of novel candidate genes in thyroid tumourigenesis, we have investigated gene copy number changes in a Trk-T1 transgenic mouse model of thyroid neoplasia. For this aim, 30 thyroid tumours from Trk-T1 transgenics were investigated by comparative genomic hybridisation. Recurrent gene copy number alterations were identified and genes located in the altered chromosomal regions were analysed by Gene Ontology term enrichment analysis in order to reveal gene functions potentially associated with thyroid tumourigenesis. In thyroid neoplasms from Trk-T1 mice, a recurrent gain on chromosomal bands 1C4–E2.3 (10.0% of cases), and losses on 3H1–H3 (13.3%), 4D2.3–E2 (43.3%) and 14E4–E5 (6.7%) were identified. -
B01P) Gene Alias: IME4, M6A, MGC4336, MT-A70, Spo8
METTL3 purified MaxPab mouse Gene Symbol: METTL3 polyclonal antibody (B01P) Gene Alias: IME4, M6A, MGC4336, MT-A70, Spo8 Catalog Number: H00056339-B01P Gene Summary: This gene encodes the 70 kDa subunit of MT-A which is part of Regulatory Status: For research use only (RUO) N6-adenosine-methyltransferase. This enzyme is involved in the posttranscriptional methylation of internal Product Description: Mouse polyclonal antibody raised adenosine residues in eukaryotic mRNAs, forming against a full-length human METTL3 protein. N6-methyladenosine. [provided by RefSeq] Immunogen: METTL3 (NP_062826.2, 1 a.a. ~ 580 a.a) References: full-length human protein. 1. Synaptic N6-methyladenosine (m6A) epitranscriptome Sequence: reveals functional partitioning of localized transcripts. MSDTWSSIQAHKKQLDSLRERLQRRRKQDSGHLDLR Merkurjev D, Hong WT, Iida K, Oomoto I, Goldie BJ, NPEAALSPTFRSDSPVPTAPTSGGPKPSTASAVPELAT Yamaguti H, Ohara T, Kawaguchi SY, Hirano T, Martin DPELEKKLLHHLSDLALTLPTDAVSICLAISTPDAPATQ KC, Pellegrini M, Wang DO. Nat Neurosci. 2018 DGVESLLQKFAAQELIEVKRGLLQDDAHPTLVTYADHS Jul;21(7):1004-1014. doi: 10.1038/s41593-018-0173-6. KLSAMMGAVAEKKGPGEVAGTVTGQKRRAEQDSTTV Epub 2018 Jun 27. AAFASSLVSGLNSSASEPAKEPAKKSRKHAASDVDLEI 2. The RNA Methyltransferase Complex of WTAP, ESLLNQQSTKEQQSKKVSQEILELLNTTTAKEQSIVEKF METTL3, and METTL14 Regulates Mitotic Clonal RSRGRAQVQEFCDYGTKEECMKASDADRPCRKLHFR Expansion in Adipogenesis. Kobayashi M, Ohsugi M, RIINKHTDESLGDCSFLNTCFHMDTCKYVHYEIDACMD Sasako T, Awazawa M, Umehara T, Iwane A, Kobayashi SEAPGSKDHTPSQELALTQSVGGDSSADRLFPPQWIC -
N6-Methyladenosine RNA Modification Regulates Embryonic Neural Stem Cell Self-Renewal Through Histone Modifications
ARTICLES https://doi.org/10.1038/s41593-017-0057-1 Corrected: Publisher Correction N6-methyladenosine RNA modification regulates embryonic neural stem cell self-renewal through histone modifications Yang Wang1, Yue Li 2, Minghui Yue3,4, Jun Wang1, Sandeep Kumar5, Robert J. Wechsler-Reya1, Zhaolei Zhang6, Yuya Ogawa3,4, Manolis Kellis2, Gregg Duester 5 and Jing Crystal Zhao 1* Internal N6-methyladenosine (m6A) modification is widespread in messenger RNAs (mRNAs) and is catalyzed by heterodimers of methyltransferase-like protein 3 (Mettl3) and Mettl14. To understand the role of m6A in development, we deleted Mettl14 in embryonic neural stem cells (NSCs) in a mouse model. Phenotypically, NSCs lacking Mettl14 displayed markedly decreased proliferation and premature differentiation, suggesting that m6A modification enhances NSC self-renewal. Decreases in the NSC pool led to a decreased number of late-born neurons during cortical neurogenesis. Mechanistically, we discovered a genome-wide increase in specific histone modifications in Mettl14 knockout versus control NSCs. These changes correlated with altered gene expression and observed cellular phenotypes, suggesting functional significance of altered histone modi- fications in knockout cells. Finally, we found that m6A regulates histone modification in part by destabilizing transcripts that encode histone-modifying enzymes. Our results suggest an essential role for m6A in development and reveal m6A-regulated histone modifications as a previously unknown mechanism of gene regulation in mammalian cells. ost-transcriptional modification of mRNA has emerged as an (VZ) showed a decrease in number relative to those seen in control important mechanism for gene regulation. Among internal mice, and this reduction was accompanied by fewer late-born corti- mRNA modifications, m6A is by far the most abundant, tagging cal neurons. -
Related Genes in TP53-Mutant Non-Small-Cell Lung Cancer
Expression and Prognostic Signicance of m6A- Related Genes in TP53-Mutant Non-Small-Cell Lung Cancer Zhuochen Zhao First Aliated Hospital of Zhengzhou University Junhu Wan First Aliated Hospital of Zhengzhou University Manman Guo First Aliated Hospital of Zhengzhou University Yangxia Wang First Aliated Hospital of Zhengzhou University Zhengwu Yang First Aliated Hospital of Zhengzhou University Zhuofang Li First Aliated Hospital of Zhengzhou University Liang Ming ( [email protected] ) First Aliated Hospital of Zhengzhou University Research Article Keywords: TP53 mutant, N-6-methylation, NSCLC, prognostic, bioinformatics Posted Date: December 29th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-127631/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/18 Abstract Background: TP53 is an important tumor suppressor gene on human chromosome 17. TP53 mutations have been conrmed in more than 60% of tumor patients' somatic cells. N6-methyladenosine is an enzyme that plays an important role in mRNA splicing, translation, and stabilization. It is a common internal modication of nucleotides, that is regulated by methyltransferases ("writer"), binding proteins ("reader"), and demethylases ("eraser"). However, its role in TP53 mutant non-small-cell lung cancer remains unknown. In this study, we investigated 17 common N-6-Methyladenosine regulators' contributions and prognostic values. Results: Wilcox test showed that 9 of 17 m6A regulators were expressed differently between TP53 mutant and wild type NSCLC (p<0.05). A new way of tumor typing is attempted by consensus clustering. Using univariate cox regression analysis, ALKBH5, HNRNPA2B1 were associated with the prognostic of TP53 mutant patients. -
Rna Methylation As a New Epigenetic Regulatory
THE UNIVERSITY OF CHICAGO THE EXUBERANT VINE OF EPITRANSCRIPTOME: RNA METHYLATION AS A NEW EPIGENETIC REGULATORY MECHANISM A DISSERTATION SUBMITTED TO THE FACULTY OF THE DIVISION OF THE PHYSICAL SCIENCES IN CANDIDACY FOR THE DEGREE OF DOCTOR OF PHILOSOPHY DEPARTMENT OF CHEMISTRY BY BOXUAN ZHAO CHICAGO, ILLINOIS AUGUST 2017 Table of Contents List of Figures ..................................................................................................................................v Acknowledgement ....................................................................................................................... viii Abstract .......................................................................................................................................... xi List of Publications ....................................................................................................................... xii Chapter 1 Introduction: RNA Modifications and Epitranscriptomics ................................. 1 1.1 Genetics and epigenetics: beyond the primary sequence .....................................................1 1.2 Epigenetic regulation of chromatin structure: histone and DNA modifications ..................2 1.3 Emergence of RNA epigenetics: chemical modifications on RNA .....................................4 1.4 N6-methyladenosine (m6A): the protagonist of epitranscriptomics ....................................7 1.5 Scope of this dissertation ...................................................................................................10 -
RNA M6 a Modification Enzymes Shape Innate Responses to DNA by Regulating Interferon Β
Downloaded from genesdev.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press RNA m6A modification enzymes shape innate responses to DNA by regulating interferon β Rosa M. Rubio,1 Daniel P. Depledge,1 Christopher Bianco,1 Letitia Thompson,1 and Ian Mohr1,2 1Department of Microbiology, 2Laura and Isaac Perlmutter Cancer Institute, New York University School of Medicine, New York, New York 10016, USA Modification of mRNA by N6-adenosine methylation (m6A) on internal bases influences gene expression in eukaryotes. How the dynamic genome-wide landscape of m6A-modified mRNAs impacts virus infection and host immune responses remains poorly understood. Here, we show that type I interferon (IFN) production triggered by dsDNA or human cytomegalovirus (HCMV) is controlled by the cellular m6A methyltrasferase subunit METTL14 and ALKBH5 demethylase. While METTL14 depletion reduced virus reproduction and stimulated dsDNA- or HCMV-induced IFNB1 mRNA accumulation, ALKBH5 depletion had the opposite effect. Depleting METTL14 increased both nascent IFNB1 mRNA production and stability in response to dsDNA. In contrast, ALKBH5 deple- tion reduced nascent IFNB1 mRNA production without detectably influencing IFN1B mRNA decay. Genome-wide transcriptome profiling following ALKBH5 depletion identified differentially expressed genes regulating antiviral immune responses, while METTL14 depletion altered pathways impacting metabolic reprogramming, stress responses, and aging. Finally, we determined that IFNB1 mRNA was m6A-modified within both the coding sequence and the 3′ untranslated region (UTR). This establishes that the host m6A modification machinery controls IFNβ production triggered by HCMV or dsDNA. Moreover, it demonstrates that responses to nonmicrobial dsDNA in uninfected cells, which shape host immunity and contribute to autoimmune disease, are regulated by enzymes controlling m6A epitranscriptomic changes. -
N6-Methyladenosine-Dependent Regulation of Messenger RNA Stability
LETTER doi:10.1038/nature12730 N6-methyladenosine-dependent regulation of messenger RNA stability Xiao Wang1, Zhike Lu1, Adrian Gomez1,GaryC.Hon2, Yanan Yue1, Dali Han1,YeFu1, Marc Parisien3, Qing Dai1, Guifang Jia1,4, Bing Ren2, Tao Pan3 & Chuan He1 N6-methyladenosine (m6A) is the most prevalent internal (non-cap) The YTH domain family is widespread in eukaryotes and known to modification present in the messenger RNA of all higher eukaryotes1,2. bind single-stranded RNA with the conserved YTH domain (.60% Although essential to cell viability and development3–5, the exact role identity) located at the C terminus16,17. In addition to previously reported of m6A modification remains to be determined. The recent discovery YTHDF2 and YTHDF314, we also discovered YTHDF1 as another m6A- of two m6A demethylases in mammalian cells highlighted the impor- selective binding protein by using methylated RNA bait containing the tance of m6A in basic biological functions and disease6–8.Herewe known consensus sites of G(m6A)C and A(m6A)C versus unmethy- show that m6A is selectively recognized by the human YTH domain lated control (Extended Data Fig. 1a). Further, highly purified poly(A)- family 2 (YTHDF2) ‘reader’ protein to regulate mRNA degradation. tailed RNAs were incubated with recombinant glutathione-S-transferase We identified over 3,000 cellular RNA targets of YTHDF2, most of (GST)-tagged YTHDF1-3 and then separated by GST-affinity column. which are mRNAs, but which also include non-coding RNAs, with a By using a previously reported liquid chromatography-tandem mass conserved core motif of G(m6A)C. We further establish the role of spectrometry (LC-MS/MS) method7,8, we found that the m6A-containing YTHDF2 in RNA metabolism, showing that binding of YTHDF2 RNAs were greatly enriched in the YTHDF-bound portion and dimin- results in the localization of bound mRNA from the translatable ished in the flow-through portion (Fig.