Kernaleguen Magali, Daviaud Christian, Shen Yimin, Bonnet Eric, Renault Victor, Deleuze Jean-François, Mauger Florence, Tost Jörg
Laboratory for Epigenetics and Environment, Centre National de Recherche en Génomique Humaine, CEA-Institut de Biologie Francois Jacob, Evry, France.
Laboratory for Bio-analysis, Centre National de Recherche en Génomique Humaine, CEA-Institut de Biologie Francois Jacob, Evry, France.
Methods Mol Biol. 2018;1767:311-349. doi: 10.1007/978-1-4939-7774-1_18.
The analysis of genome-wide epigenomic alterations including DNA methylation and hydroxymethylation has become a subject of intensive research for many biological and disease-associated investigations. Whole-genome bisulfite sequencing (WGBS) using next-generation sequencing technologies is currently considered as the gold standard for a comprehensive and quantitative analysis of DNA methylation throughout the genome. However, bisulfite conversion does not allow distinguishing between cytosine methylation and hydroxymethylation requiring an additional chemical or enzymatic step to identify hydroxymethylated cytosines. Here we provide two detailed protocols based on commercial kits for the preparation of sequencing libraries for the comprehensive whole-genome analysis of DNA methylation and/or hydroxymethylation. If only DNA methylation is of interest, sequencing libraries can be constructed from limited amounts of input DNA by ligation of methylated adaptors to the fragmented DNA prior to bisulfite conversion. For samples with significant levels of hydroxymethylation such as stem cells or brain tissue, we describe the protocol of oxidative bisulfite sequencing (OxBs-seq), which in its current version uses a post-bisulfite adaptor tagging (PBAT) approach. Two methylomes need to be generated: a classic methylome following bisulfite conversion and analyzing both methylated and hydroxymethylated cytosines and a methylome analyzing only methylated cytosines, respectively. We also provide a step-by-step description of the data analysis using publicly available bioinformatic tools. The described protocols have been successfully applied to different human samples and yield robust and reproducible results.
包括DNA甲基化和羟甲基化在内的全基因组表观基因组改变分析,已成为许多生物学和疾病相关研究的重点课题。利用下一代测序技术进行的全基因组亚硫酸氢盐测序(WGBS),目前被认为是对全基因组DNA甲基化进行全面定量分析的金标准。然而,亚硫酸氢盐转化无法区分胞嘧啶甲基化和羟甲基化,需要额外的化学或酶促步骤来鉴定羟甲基化胞嘧啶。在此,我们基于商业试剂盒提供了两种详细的方案,用于制备测序文库,以对DNA甲基化和/或羟甲基化进行全面的全基因组分析。如果只关注DNA甲基化,可以在亚硫酸氢盐转化之前,通过将甲基化接头连接到片段化的DNA上,从有限量的输入DNA构建测序文库。对于羟甲基化水平较高的样本,如干细胞或脑组织,我们描述了氧化亚硫酸氢盐测序(OxBs-seq)方案,其当前版本采用亚硫酸氢盐后接头标记(PBAT)方法。需要生成两个甲基化组:一个是亚硫酸氢盐转化后分析甲基化和羟甲基化胞嘧啶的经典甲基化组,另一个是只分析甲基化胞嘧啶的甲基化组。我们还使用公开可用的生物信息学工具,提供了数据分析的分步描述。所描述的方案已成功应用于不同的人类样本,并产生了可靠且可重复的结果。
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