Li Daofeng, Zhang Bo, Xing Xiaoyun, Wang Ting
Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63108, USA.
Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63108, USA.
Methods. 2015 Jan 15;72:29-40. doi: 10.1016/j.ymeth.2014.10.032. Epub 2014 Nov 6.
DNA CpG methylation is a widespread epigenetic mark in high eukaryotes including mammals. DNA methylation plays key roles in diverse biological processes such as X chromosome inactivation, transposable element repression, genomic imprinting, and control of gene expression. Recent advancements in sequencing-based DNA methylation profiling methods provide an unprecedented opportunity to measure DNA methylation in a genome-wide fashion, making it possible to comprehensively investigate the role of DNA methylation. Several methods have been developed, such as Whole Genome Bisulfite Sequencing (WGBS), Reduced Representation Bisulfite Sequencing (RRBS), and enrichment-based methods including Methylation Dependent ImmunoPrecipitation followed by sequencing (MeDIP-seq), methyl-CpG binding domain (MBD) protein-enriched genome sequencing (MBD-seq), methyltransferase-directed Transfer of Activated Groups followed by sequencing (mTAG), and Methylation-sensitive Restriction Enzyme digestion followed by sequencing (MRE-seq). These methods differ by their genomic CpG coverage, resolution, quantitative accuracy, cost, and software for analyzing the data. Among these, WGBS is considered the gold standard. However, it is still a cost-prohibitive technology for a typical laboratory due to the required sequencing depth. We found that by integrating two enrichment-based methods that are complementary in nature (i.e., MeDIP-seq and MRE-seq), we can significantly increase the efficiency of whole DNA methylome profiling. By using two recently developed computational algorithms (i.e., M&M and methylCRF), the combination of MeDIP-seq and MRE-seq produces genome-wide CpG methylation measurement at high coverage and high resolution, and robust predictions of differentially methylated regions. Thus, the combination of the two enrichment-based methods provides a cost-effective alternative to WGBS. In this article we describe both the experimental protocols for performing MeDIP-seq and MRE-seq, and the computational protocols for running M&M and methylCRF.
DNA CpG甲基化是包括哺乳动物在内的高等真核生物中广泛存在的表观遗传标记。DNA甲基化在多种生物学过程中发挥关键作用,如X染色体失活、转座子抑制、基因组印记和基因表达调控。基于测序的DNA甲基化谱分析方法的最新进展为全基因组方式测量DNA甲基化提供了前所未有的机会,使得全面研究DNA甲基化的作用成为可能。已经开发了几种方法,如全基因组亚硫酸氢盐测序(WGBS)、简化代表性亚硫酸氢盐测序(RRBS)以及基于富集的方法,包括甲基化依赖性免疫沉淀测序(MeDIP-seq)、甲基-CpG结合域(MBD)蛋白富集基因组测序(MBD-seq)、甲基转移酶导向的活化基团转移测序(mTAG)以及甲基化敏感限制性酶切测序(MRE-seq)。这些方法在基因组CpG覆盖范围、分辨率、定量准确性、成本以及数据分析软件方面存在差异。其中,WGBS被认为是金标准。然而,由于所需的测序深度,对于典型实验室来说,它仍然是一种成本过高的技术。我们发现,通过整合两种本质上互补的基于富集的方法(即MeDIP-seq和MRE-seq),可以显著提高全DNA甲基化组谱分析的效率。通过使用两种最近开发的计算算法(即M&M和methylCRF),MeDIP-seq和MRE-seq的组合能够在高覆盖度和高分辨率下进行全基因组CpG甲基化测量,并对差异甲基化区域进行可靠预测。因此,这两种基于富集的方法的组合为WGBS提供了一种经济高效的替代方案。在本文中,我们描述了进行MeDIP-seq和MRE-seq的实验方案,以及运行M&M和methylCRF的计算方案。