MePMe-seq: antibody-free simultaneous m6A and m5C mapping in mRNA by metabolic propargyl labeling and sequencing

被引:0
|
作者
Katja Hartstock
Nadine A. Kueck
Petr Spacek
Anna Ovcharenko
Sabine Hüwel
Nicolas V. Cornelissen
Amarnath Bollu
Christoph Dieterich
Andrea Rentmeister
机构
[1] University of Münster,Institute of Biochemistry, Faculty of Chemistry and Pharmacy
[2] Klaus Tschira Institute for Integrative Computational Cardiology,Section of Bioinformatics and Systems Cardiology
[3] University Hospital Heidelberg,Department of Internal Medicine III (Cardiology, Angiology, and Pneumology)
[4] Partner Site Heidelberg/Mannheim,DZHK (German Centre for Cardiovascular Research)
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Internal modifications of mRNA have emerged as widespread and versatile regulatory mechanism to control gene expression at the post-transcriptional level. Most of these modifications are methyl groups, making S-adenosyl-L-methionine (SAM) a central metabolic hub. Here we show that metabolic labeling with a clickable metabolic precursor of SAM, propargyl-selenohomocysteine (PSH), enables detection and identification of various methylation sites. Propargylated A, C, and G nucleosides form at detectable amounts via intracellular generation of the corresponding SAM analogue. Integration into next generation sequencing enables mapping of N6-methyladenosine (m6A) and 5-methylcytidine (m5C) sites in mRNA with single nucleotide precision (MePMe-seq). Analysis of the termination profiles can be used to distinguish m6A from 2′-O-methyladenosine (Am) and N1-methyladenosine (m1A) sites. MePMe-seq overcomes the problems of antibodies for enrichment and sequence-motifs for evaluation, which was limiting previous methodologies. Metabolic labeling via clickable SAM facilitates the joint evaluation of methylation sites in RNA and potentially DNA and proteins.
引用
收藏
相关论文
共 11 条
  • [1] MePMe-seq: antibody-free simultaneous m6A and m5C mapping in mRNA by metabolic propargyl labeling and sequencing
    Hartstock, Katja
    Kueck, Nadine A.
    Spacek, Petr
    Ovcharenko, Anna
    Huewel, Sabine
    Cornelissen, Nicolas V.
    Bollu, Amarnath
    Dieterich, Christoph
    Rentmeister, Andrea
    NATURE COMMUNICATIONS, 2023, 14 (01)
  • [2] DART-seq: an antibody-free method for global m6A detection
    Kate D. Meyer
    Nature Methods, 2019, 16 : 1275 - 1280
  • [3] DART-seq: an antibody-free method for global m6A detection
    Meyer, Kate D.
    NATURE METHODS, 2019, 16 (12) : 1275 - +
  • [4] Mapping the m1A, m5C, m6A and m7G methylation atlas in zebrafish brain under hypoxic conditions by MeRIP-seq
    Wei Li
    Xiaoyu Li
    Xunjie Ma
    Wei Xiao
    Jingjing Zhang
    BMC Genomics, 23
  • [5] Mapping the m1A, m5C, m6A and m7G methylation atlas in zebrafish brain under hypoxic conditions by MeRIP-seq
    Li, Wei
    Li, Xiaoyu
    Ma, Xunjie
    Xiao, Wei
    Zhang, Jingjing
    BMC GENOMICS, 2022, 23 (01)
  • [6] m6A and m5C modifications as the gears: CmoCK1 mRNA travels to promote chilling tolerance
    Ku, Yee-Shan
    PLANT PHYSIOLOGY, 2024, 197 (01)
  • [7] m5C and m6A modifications regulate the mobility of pumpkin CHOLINE KINASE 1 mRNA under chilling stress
    Li, Xiaojun
    Wang, Cuicui
    Chen, Ying
    Liu, Wenqian
    Zhang, Miao
    Wang, Naonao
    Xiang, Chenggang
    Gao, Lihong
    Dong, Yihan
    Zhang, Wenna
    PLANT PHYSIOLOGY, 2024, 197 (02)
  • [8] m6A-label-seq: A metabolic labeling protocol to detect transcriptome-wide mRNA N6-methyladenosine (m6A) at base resolution
    Shu, Xiao
    Cao, Jie
    Liu, Jianzhao
    STAR PROTOCOLS, 2022, 3 (01):
  • [9] Construction of fast-walking tetrahedral DNA walker with efficient electrochemiluminescence for the simultaneous and ultrasensitive detection of m6A and m5C
    Liu, Huamin
    Li, Mimi
    Ma, Zhensheng
    Hu, Yue
    Li, Chenghong
    Li, Lulu
    Huang, Hui
    Fang, Lichao
    Wang, Lina
    Wang, Xiaolong
    Zheng, Junsong
    MICROCHEMICAL JOURNAL, 2025, 209
  • [10] Characterization of the m6A/m1A/m5C/m7G-related regulators on the prognosis and immune microenvironment of glioma by integrated analysis of scRNA-seq and bulk RNA-seq data
    Yang, Longkun
    Huang, Zhicong
    Deng, Ying
    Zhang, Xing
    Lv, Zhonghua
    Huang, Hao
    Sun, Qian
    Liu, Hui
    Liang, Hongsheng
    He, Baochang
    Hu, Fulan
    JOURNAL OF GENE MEDICINE, 2024, 26 (02):