Structure and Regulation of ZCCHC4 in M6a-Methylation of 28S Rrna
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METTL3-Mediated M6a Modification Is Required for Cerebellar Development
RESEARCH ARTICLE METTL3-mediated m6A modification is required for cerebellar development Chen-Xin Wang1,2☯, Guan-Shen Cui3,4☯, Xiuying Liu5☯, Kai Xu1,2☯, Meng Wang5☯, Xin- Xin Zhang1, Li-Yuan Jiang1, Ang Li2,3, Ying Yang3, Wei-Yi Lai2,6, Bao-Fa Sun2,3,7, Gui- Bin Jiang6, Hai-Lin Wang6, Wei-Min Tong8, Wei Li1,2,7, Xiu-Jie Wang2,5,7*, Yun- Gui Yang2,3,7*, Qi Zhou1,2,7* 1 State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China, 2 University of Chinese Academy of Sciences, Beijing, China, 3 Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, Beijing a1111111111 Institute of Genomics, Chinese Academy of Sciences, Beijing, China, 4 Sino-Danish College, University of a1111111111 Chinese Academy of Sciences, Beijing, China, 5 Key Laboratory of Genetic Network Biology, Institute of a1111111111 Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China, 6 State Key Laboratory a1111111111 of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese a1111111111 Academy of Sciences, Beijing, China, 7 Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China, 8 Department of Pathology, Center for Experimental Animal Research, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China ☯ These authors contributed equally to this work. OPEN ACCESS * [email protected] (XJW); [email protected] (YGY); [email protected] (QZ) Citation: Wang C-X, Cui G-S, Liu X, Xu K, Wang M, Zhang X-X, et al. -
'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. -
Promoter-Bound METTL3 Maintains Myeloid Leukaemia Via M6a-Dependent Translation Control
1 2 Promoter-bound METTL3 maintains myeloid leukaemia 3 via m6A-dependent translation control 4 5 6 Isaia Barbieri1*, Konstantinos Tzelepis2*, Luca Pandolfini1*, Junwei Shi3♯, Gonzalo Millán- 7 Zambrano1, Samuel C. Robson1¶, Demetrios Aspris2, Valentina Migliori1, Andrew J. 8 Bannister1, Namshik Han1, Etienne De Braekeleer2, Hannes Ponstingl2, Alan Hendrick4, 9 Christopher R. Vakoc3, George S. Vassiliou2§ & Tony Kouzarides1§. 10 11 1The Gurdon Institute and Department of Pathology, University of Cambridge, Tennis Court Road, 12 Cambridge, CB2 1QN, UK. 13 2 Haematological Cancer Genetics, Wellcome Trust Sanger Institute, Cambridge, CB10 1SA, UK. 14 3 Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA. 15 4 Storm Therapeutics Ltd, Moneta building (B280), Babraham Research Campus, Cambridge CB22 3AT, UK. 16 17 ♯ Present address: Department of Cancer Biology, Abramson Family Cancer Research Institute, Perelman 18 School of Medicine, University of Pennsylvania, 421 Curie Boulevard, Philadelphia, Pennsylvania 19104, 19 USA. 20 ¶Present address: School of Pharmacy & Biomedical Science, St Michael's Building, University of 21 Portsmouth, White Swan Road, Portsmouth, UK" 22 *These authors contributed equally to the work. 23 §Corresponding authors ([email protected]; [email protected]) 24 25 26 27 Abstract 28 29 N6-methyladenosine (m6A) is an abundant internal RNA modification in both coding1 and 30 non-coding RNAs2,3, catalysed by the METTL3/METTL14 methyltransferase complex4. 31 Here we define a novel pathway specific for METTL3, implicated in the maintenance of the 32 leukaemic state. We identify METTL3 as an essential gene for growth of acute myeloid 33 leukaemia (AML) cells in two distinct genetic screens. -
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. -
RNA–Protein Interaction Mapping Via MS2- Or Cas13-Based APEX Targeting
RNA–protein interaction mapping via MS2- or Cas13-based APEX targeting Shuo Hana,b,c,1, Boxuan Simen Zhaoa,b,c,1, Samuel A. Myersd, Steven A. Carrd, Chuan Hee,f, and Alice Y. Tinga,b,c,2 aDepartment of Genetics, Chan Zuckerberg Biohub, Stanford University, Stanford, CA 94305; bDepartment of Biology, Chan Zuckerberg Biohub, Stanford University, Stanford, CA 94305; cDepartment of Chemistry, Chan Zuckerberg Biohub, Stanford University, Stanford, CA 94305; dThe Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142; eDepartment of Chemistry, Institute for Biophysical Dynamics, Howard Hughes Medical Institute, University of Chicago, Chicago, IL 60637; and fDepartment of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, Howard Hughes Medical Institute, University of Chicago, Chicago, IL 60637 Edited by Robert H. Singer, Albert Einstein College of Medicine, Bronx, NY, and approved July 24, 2020 (received for review April 8, 2020) RNA–protein interactions underlie a wide range of cellular pro- and oncogenesis by serving as the template for reverse transcrip- cesses. Improved methods are needed to systematically map RNA– tion of telomeres (26, 27). While hTR’s interaction with the protein interactions in living cells in an unbiased manner. We used telomerase complex has been extensively characterized (28), hTR two approaches to target the engineered peroxidase APEX2 to is present in stoichiometric excess over telomerase in cancer cells specific cellular RNAs for RNA-centered proximity biotinylation of (29) and is broadly expressed in tissues lacking telomerase protein protein interaction partners. Both an MS2-MCP system and an (30). These observations suggest that hTR could also function engineered CRISPR-Cas13 system were used to deliver APEX2 to outside of the telomerase complex (31), and uncharacterized the human telomerase RNA hTR with high specificity. -
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. -
Novel Insights Into the M6a-RNA Methyltransferase METTL3 in Cancer
Cai et al. Biomarker Research (2021) 9:27 https://doi.org/10.1186/s40364-021-00278-9 REVIEW Open Access Novel insights into the m6A-RNA methyltransferase METTL3 in cancer Yiqing Cai1†, Rui Feng2†, Tiange Lu1, Xiaomin Chen1, Xiangxiang Zhou1,2,3,4,5,6* and Xin Wang1,2,3,4,5,6* Abstract N6-methyladenosine (m6A) is a prevalent internal RNA modification in higher eukaryotic cells. As the pivotal m6A regulator, RNA methyltransferase-like 3 (METTL3) is responsible for methyl group transfer in the progression of m6A modification. This epigenetic regulation contributes to the structure and functional regulation of RNA and further promotes tumorigenesis and tumor progression. Accumulating evidence has illustrated the pivotal roles of METTL3 in a variety of human cancers. Here, we systemically summarize the interaction between METTL3 and RNAs, and illustrate the multiple functions of METTL3 in human cancer. METLL3 is aberrantly expressed in a variety of tumors. Elevation of METTL3 is usually associated with rapid progression and poor prognosis of tumors. On the other hand, METTL3 may also function as a tumor suppressor in several cancers. Based on the tumor-promoting effect of METT L3, the possibility of applying METTL3 inhibitors is further discussed, which is expected to provide novel insights into antitumor therapy. Keywords: N6-methyladenosine, METTL3, RNA regulation, Tumorigenesis Introduction performed by “writers”, while the modification site is Epigenetics promotes the functional plasticity of genome subsequently “read” by m6A recognition proteins or at multiple levels [1]. As the classical kinds of chemical “erased” by m6A demethylases [12]. In particular, human modifications, 5-methylcytidine (m5C), 5- N6-methyltransferase complex (MTC), which contains hydroxymethylcytidine (hm5C), N4-acetylcytidine (ac4C), Methyltransferase-like 3 (METTL3) [13], METTL14 and N6-methyladenosine (m6A) mainly participate in [14], Wilms tumor 1-associated protein (WTAP) [15], the epigenetic modification of RNAs [2]. -
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. -
51104 METTL14 (D8K8W) Rabbit Mab
Revision 1 C 0 2 - t METTL14 (D8K8W) Rabbit mAb a e r o t S Orders: 877-616-CELL (2355) [email protected] Support: 877-678-TECH (8324) 4 0 1 Web: [email protected] 1 www.cellsignal.com 5 # 3 Trask Lane Danvers Massachusetts 01923 USA For Research Use Only. Not For Use In Diagnostic Procedures. Applications: Reactivity: Sensitivity: MW (kDa): Source/Isotype: UniProt ID: Entrez-Gene Id: WB H M R Mk Endogenous 65 Rabbit IgG Q9HCE5 57721 Product Usage Information 5. Ping, X.L. et al. (2014) Cell Res 24, 177-89. 6. Lin, S. et al. (2016) Mol Cell 62, 335-45. Application Dilution 7. Jin, D.I. et al. (2012) Cancer Sci 103, 2102-9. 8. Jo, H.J. et al. (2013) J Gastroenterol 48, 1271-82. Western Blotting 1:1000 Storage Supplied in 10 mM sodium HEPES (pH 7.5), 150 mM NaCl, 100 µg/ml BSA, 50% glycerol and less than 0.02% sodium azide. Store at –20°C. Do not aliquot the antibody. Specificity / Sensitivity METTL14 (D8K8W) Rabbit mAb recognizes endogenous levels of total METL14 protein. Species Reactivity: Human, Mouse, Rat, Monkey Species predicted to react based on 100% sequence homology: Chicken, Xenopus Source / Purification Monoclonal antibody is produced by immunizing animals with a synthetic peptide corresponding to residues surrounding Pro130 of human METTL14 protein. Background Methyltransferase-like protein 3 (METTL3) and methytransferase-like protein 14 (METTL14) are the two catalytic subunits of an N6-methyltransferase complex that methylates adenosine residues in RNA (1). Methylation of adenosine residues regulates mRNA splicing, processing, translation efficiency, editing and stability, in addition to regulating primary miRNA processing, and is critical for proper regulation of the circadian clock, embryonic stem cell self-renewal, immune tolerance, response to various stimuli, meiosis and mouse fertility (2,3). -
Long Non-Coding RNA Epigenetics
International Journal of Molecular Sciences Review Long Non-Coding RNA Epigenetics Marek Kazimierczyk and Jan Wrzesinski * Institute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14, 61-704 Pozna´n,Poland; [email protected] * Correspondence: [email protected] Abstract: Long noncoding RNAs exceeding a length of 200 nucleotides play an important role in ensuring cell functions and proper organism development by interacting with cellular compounds such as miRNA, mRNA, DNA and proteins. However, there is an additional level of lncRNA regulation, called lncRNA epigenetics, in gene expression control. In this review, we describe the most common modified nucleosides found in lncRNA, 6-methyladenosine, 5-methylcytidine, pseudouridine and inosine. The biosynthetic pathways of these nucleosides modified by the writer, eraser and reader enzymes are important to understanding these processes. The characteristics of the individual methylases, pseudouridine synthases and adenine–inosine editing enzymes and the methods of lncRNA epigenetics for the detection of modified nucleosides, as well as the advantages and disadvantages of these methods, are discussed in detail. The final sections are devoted to the role of modifications in the most abundant lncRNAs and their functions in pathogenic processes. Keywords: lncRNA epigenetics; RNA modyfiing enzymes; detection modified nucleotides 1. General Remarks Citation: Kazimierczyk, M.; Although almost 80% of the human genome has been transcribed, only 2% of it Wrzesinski, J. Long Non-Coding RNA (mRNA) codes proteins [1,2]. All of the remaining RNAs belong to a vast group of noncod- Epigenetics. Int. J. Mol. Sci. 2021, 22, ing RNAs (ncRNAs). Based on their functions, ncRNAs can be classified as housekeeping 6166.