A tag-based approach for high-throughput analysis of CCWGG methylation

被引:3
|
作者
Denisova, Oksana V. [1 ]
Chernov, Andrei V. [1 ]
Koledachkina, Tatyana Y. [1 ]
Matvienko, Nicholas I. [1 ]
机构
[1] Russian Acad Sci, Inst Protein Res, Pushchino 142290, Russia
基金
俄罗斯基础研究基金会;
关键词
Non-CpG methylation; DNA methylation; CCWGG methylation; epigenome;
D O I
10.1016/j.ab.2007.06.048
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Non-CpG methylation occurring in the context of CNG sequences is found in plants at a large number of genomic loci. However, there is still little information available about non-CpG methylation in mammals. Efficient methods that would allow detection of scarcely localized methylated sites in small quantities of DNA are required to elucidate the biological role of non-CpG methylation in both plants and animals. In this study, we tested a new whole genome approach to identify sites of CCWGG methylation (W is A or T), a particular case of CNG methylation, in genomic DNA. This technique is based on digestion of DNAs with methylation-sensitive restriction endonucleases EcoRII-C and AjnI. Short DNAs flanking methylated CCWGG sites (tags) are selectively purified and assembled in tandem arrays of up to nine tags. This allows high-throughput sequencing of tags, identification of flanking regions, and their exact positions in the genome. In this study, we tested specificity and efficiency of the approach. (c) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码:154 / 160
页数:7
相关论文
共 50 条
  • [1] Optimized design and data analysis of tag-based cytosine methylation assays
    Suzuki, Masako
    Jing, Qiang
    Lia, Daniel
    Pascual, Marien
    McLellan, Andrew
    Greally, John M.
    [J]. GENOME BIOLOGY, 2010, 11 (04):
  • [2] Optimized design and data analysis of tag-based cytosine methylation assays
    Masako Suzuki
    Qiang Jing
    Daniel Lia
    Marién Pascual
    Andrew McLellan
    John M Greally
    [J]. Genome Biology, 11
  • [3] Construction of DNA methylation analysis platform based on high-throughput sequencing
    Li, Jiangyu
    Li, Jiakuan
    Wang, Xiaolei
    Zhao, Dongsheng
    Zhao, Siqing
    [J]. PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2018, : 1490 - 1495
  • [4] High-throughput DNA methylation
    Laird, Peter W.
    Bibikova, Marina
    Fan, Jian-Bing
    [J]. GENETIC ENGINEERING & BIOTECHNOLOGY NEWS, 2007, 27 (07): : 25 - 25
  • [5] Tag-based Analysis at the BESIII Experiment
    Deng, Z. Y.
    Zou, J. H.
    Sun, S. S.
    Liu, B. J.
    Wang, L.
    Shi, J. Y.
    Xiong, X. A.
    Zhang, S. F.
    [J]. 19TH INTERNATIONAL WORKSHOP ON ADVANCED COMPUTING AND ANALYSIS TECHNIQUES IN PHYSICS RESEARCH, 2020, 1525
  • [6] A high-throughput DNA methylation analysis of a single cell
    Kantlehner, Martin
    Kirchner, Roland
    Hartmann, Petra
    Ellwart, Joachim W.
    Alunni-Fabbroni, Marianna
    Schumacher, Axel
    [J]. NUCLEIC ACIDS RESEARCH, 2011, 39 (07) : E44 - U68
  • [7] A Tag-Based Approach for Learning Ergonomic Concepts
    Tsai, Li Chen
    Tang, Kuo Hao
    Hwang, Sheue Ling
    [J]. HUMAN FACTORS AND ERGONOMICS IN MANUFACTURING & SERVICE INDUSTRIES, 2014, 24 (05) : 574 - 584
  • [8] PorchLight: A Tag-Based Approach to Bug Triaging
    Bortis, Gerald
    van der Hoek, Andre
    [J]. PROCEEDINGS OF THE 35TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2013), 2013, : 342 - 351
  • [9] TAG-TMTpro, a Hyperplexing Quantitative Approach for High-Throughput Proteomic Studies
    Wu, Zhen
    Shen, Yi
    Zhang, Xumin
    [J]. ANALYTICAL CHEMISTRY, 2022, 94 (37) : 12565 - 12569
  • [10] High-throughput analysis of methylation patterns to track cell divisions
    Tiemann-Boege, Irene
    Curtis, Christina
    Shibata, Darryl
    Tavare, Simon
    [J]. CELLULAR ONCOLOGY, 2008, 30 (03) : 229 - 229