Literature DB >> 33330931

Sequence- and structure-specific cytosine-5 mRNA methylation by NSUN6.

Tommaso Selmi1, Shobbir Hussain2, Sabine Dietmann3, Matthias Heiß4, Kayla Borland4, Sophia Flad5, Jean-Michel Carter2, Rebecca Dennison6, Ya-Lin Huang1, Stefanie Kellner4, Susanne Bornelöv7, Michaela Frye5.   

Abstract

The highly abundant N6-methyladenosine (m6A) RNA modification affects most aspects of mRNA function, yet the precise function of the rarer 5-methylcytidine (m5C) remains largely unknown. Here, we map m5C in the human transcriptome using methylation-dependent individual-nucleotide resolution cross-linking and immunoprecipitation (miCLIP) combined with RNA bisulfite sequencing. We identify NSUN6 as a methyltransferase with strong substrate specificity towards mRNA. NSUN6 primarily targeted three prime untranslated regions (3'UTR) at the consensus sequence motif CTCCA, located in loops of hairpin structures. Knockout and rescue experiments revealed enhanced mRNA and translation levels when NSUN6-targeted mRNAs were methylated. Ribosome profiling further demonstrated that NSUN6-specific methylation correlated with translation termination. While NSUN6 was dispensable for mouse embryonic development, it was down-regulated in human tumours and high expression of NSUN6 indicated better patient outcome of certain cancer types. In summary, our study identifies NSUN6 as a methyltransferase targeting mRNA, potentially as part of a quality control mechanism involved in translation termination fidelity.
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2021        PMID: 33330931      PMCID: PMC7826283          DOI: 10.1093/nar/gkaa1193

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  54 in total

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2.  5-methylcytosine promotes pathogenesis of bladder cancer through stabilizing mRNAs.

Authors:  Xin Chen; Ang Li; Bao-Fa Sun; Ying Yang; Ya-Nan Han; Xun Yuan; Ri-Xin Chen; Wen-Su Wei; Yanchao Liu; Chun-Chun Gao; Yu-Sheng Chen; Mengmeng Zhang; Xiao-Dan Ma; Zhuo-Wei Liu; Jun-Hang Luo; Cong Lyu; Hai-Lin Wang; Jinbiao Ma; Yong-Liang Zhao; Fang-Jian Zhou; Ying Huang; Dan Xie; Yun-Gui Yang
Journal:  Nat Cell Biol       Date:  2019-07-29       Impact factor: 28.824

3.  The nucleolar RNA methyltransferase Misu (NSun2) is required for mitotic spindle stability.

Authors:  Shobbir Hussain; Sandra Blanco Benavente; Elisabete Nascimento; Ilaria Dragoni; Agata Kurowski; Astrid Gillich; Peter Humphreys; Michaela Frye
Journal:  J Cell Biol       Date:  2009-07-13       Impact factor: 10.539

4.  Statistical analysis of readthrough levels for nonsense mutations in mammalian cells reveals a major determinant of response to gentamicin.

Authors:  Célia Floquet; Isabelle Hatin; Jean-Pierre Rousset; Laure Bidou
Journal:  PLoS Genet       Date:  2012-03-29       Impact factor: 5.917

5.  Removing technical variability in RNA-seq data using conditional quantile normalization.

Authors:  Kasper D Hansen; Rafael A Irizarry; Zhijin Wu
Journal:  Biostatistics       Date:  2012-01-27       Impact factor: 5.899

6.  Aberrant methylation of tRNAs links cellular stress to neuro-developmental disorders.

Authors:  Sandra Blanco; Sabine Dietmann; Joana V Flores; Shobbir Hussain; Claudia Kutter; Peter Humphreys; Margus Lukk; Patrick Lombard; Lucas Treps; Martyna Popis; Stefanie Kellner; Sabine M Hölter; Lillian Garrett; Wolfgang Wurst; Lore Becker; Thomas Klopstock; Helmut Fuchs; Valerie Gailus-Durner; Martin Hrabĕ de Angelis; Ragnhildur T Káradóttir; Mark Helm; Jernej Ule; Joseph G Gleeson; Duncan T Odom; Michaela Frye
Journal:  EMBO J       Date:  2014-07-25       Impact factor: 11.598

7.  5-methylcytosine promotes mRNA export - NSUN2 as the methyltransferase and ALYREF as an m5C reader.

Authors:  Xin Yang; Ying Yang; Bao-Fa Sun; Yu-Sheng Chen; Jia-Wei Xu; Wei-Yi Lai; Ang Li; Xing Wang; Devi Prasad Bhattarai; Wen Xiao; Hui-Ying Sun; Qin Zhu; Hai-Li Ma; Samir Adhikari; Min Sun; Ya-Juan Hao; Bing Zhang; Chun-Min Huang; Niu Huang; Gui-Bin Jiang; Yong-Liang Zhao; Hai-Lin Wang; Ying-Pu Sun; Yun-Gui Yang
Journal:  Cell Res       Date:  2017-04-18       Impact factor: 25.617

8.  Stop-codon read-through arises largely from molecular errors and is generally nonadaptive.

Authors:  Chuan Li; Jianzhi Zhang
Journal:  PLoS Genet       Date:  2019-05-23       Impact factor: 5.917

9.  MODOMICS: a database of RNA modification pathways. 2017 update.

Authors:  Pietro Boccaletto; Magdalena A Machnicka; Elzbieta Purta; Pawel Piatkowski; Blazej Baginski; Tomasz K Wirecki; Valérie de Crécy-Lagard; Robert Ross; Patrick A Limbach; Annika Kotter; Mark Helm; Janusz M Bujnicki
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

10.  Stop codon context influences genome-wide stimulation of termination codon readthrough by aminoglycosides.

Authors:  Jamie R Wangen; Rachel Green
Journal:  Elife       Date:  2020-01-23       Impact factor: 8.140

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  19 in total

1.  RNA bisulfite sequencing reveals NSUN2-mediated suppression of epithelial differentiation in pancreatic cancer.

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Journal:  Oncogene       Date:  2022-05-02       Impact factor: 9.867

2.  Up-to-date on the evidence linking miRNA-related epitranscriptomic modifications and disease settings. Can these modifications affect cross-kingdom regulation?

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Journal:  RNA Biol       Date:  2021-11-29       Impact factor: 4.652

3.  Bioinformatical identification of key genes regulated by IGF2BP2-mediated RNA N6-methyladenosine and prediction of prognosis in hepatocellular carcinoma.

Authors:  Qiang Wei
Journal:  J Gastrointest Oncol       Date:  2021-08

Review 4.  Recent technical advances in the study of nucleic acid modifications.

Authors:  Michael C Owens; Celia Zhang; Kathy Fange Liu
Journal:  Mol Cell       Date:  2021-09-03       Impact factor: 19.328

Review 5.  Epitranscriptomic Modifications Modulate Normal and Pathological Functions in CNS.

Authors:  Anil K Chokkalla; Suresh L Mehta; Raghu Vemuganti
Journal:  Transl Stroke Res       Date:  2021-07-05       Impact factor: 6.829

Review 6.  The Regulation of RNA Modification Systems: The Next Frontier in Epitranscriptomics?

Authors:  Matthias R Schaefer
Journal:  Genes (Basel)       Date:  2021-02-26       Impact factor: 4.096

7.  Identification of a Methylation-Regulating Genes Prognostic Signature to Predict the Prognosis and Aid Immunotherapy of Clear Cell Renal Cell Carcinoma.

Authors:  Li Zhang; Zhixiong Su; Fuyuan Hong; Lei Wang
Journal:  Front Cell Dev Biol       Date:  2022-03-02

8.  Prognostic Significance and Tumor Immune Microenvironment Heterogenicity of m5C RNA Methylation Regulators in Triple-Negative Breast Cancer.

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Journal:  Front Cell Dev Biol       Date:  2021-04-13

Review 9.  Deciphering Epitranscriptome: Modification of mRNA Bases Provides a New Perspective for Post-transcriptional Regulation of Gene Expression.

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Journal:  Front Cell Dev Biol       Date:  2021-03-16

10.  Prognostic Value of an m5C RNA Methylation Regulator-Related Signature for Clear Cell Renal Cell Carcinoma.

Authors:  Hanrong Li; Huiming Jiang; Zhicheng Huang; Zhilin Chen; Nanhui Chen
Journal:  Cancer Manag Res       Date:  2021-08-24       Impact factor: 3.989

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