Differential methylation analysis for bisulfite sequencing using DSS

Bisulfite sequencing (BS-seq) technology measures DNA methylation at single nucleotide resolution. A key task in BS-seq data analysis is to identify differentially methylation (DM) under different conditions. Here we provide a tutorial for BS-seq DM analysis using Bioconductor package DSS. DSS uses a beta-binomial model to characterize the sequence counts from BS-seq, and implements rigorous statistical method for hypothesis testing. It provides flexible functionalities for a variety of DM analyses.     

Ultra-deep whole genome bisulfite sequencing reveals a single methylation hotspot in human brain mitochondrial DNA

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A comparison of existing global DNA methylation assays to low-coverage whole-genome bisulfite sequencing for epidemiological studies

DNA methylation is an epigenetic mark at the interface of genetic and environmental factors relevant to human disease. Quantitative assessments of global DNA methylation levels have therefore become important tools in epidemiology research, particularly for understanding effects of environmental exposures in complex diseases. Among the available methods of quantitative DNA methylation measurements, bisulfite sequencing is considered the gold standard, but whole-genome bisulfite sequencing (WGBS) has previously been considered too costly for epidemiology studies with high sample numbers. Pyrosequencing of repetitive sequences within bisulfite-treated DNA has been routinely used as a surrogate for global DNA methylation, but a comparison of pyrosequencing to WGBS for accuracy and reproducibility of methylation levels has not been performed. This study compared the global methylation levels measured from uniquely mappable (non-repetitive) WGBS sequences to pyrosequencing assays of several repeat sequences and repeat assay-matched WGBS data and determined uniquely mappable WGBS data to be the most reproducible and accurate measurement of global DNA methylation levels. We determined sources of variation in repetitive pyrosequencing assays to be PCR amplification bias, PCR primer selection bias in methylation levels of targeted sequences, and inherent variability in methylation levels of repeat sequences. Low-coverage, uniquely mappable WGBS showed the strongest correlation between replicates of all assays. By using multiplexing by indexed bar codes, the cost of WGBS can be lowered significantly to improve the accuracy of global DNA methylation assessments for human studies.     

Sequential changes in genome-wide DNA methylation status during adipocyte differentiation

DNA methylation is an epigenetic mark on the mammalian genome. There are numerous tissue-dependent and differentially methylated regions (T-DMRs) in the unique sequences distributed throughout the genome. To determine the epigenetic changes during adipocyte differentiation, we investigated the sequential changes in DNA methylation status of 3T3-L1 cells at the growing, confluent, postconfluent and mature adipocyte cell stages. Treatment of 3T3-L1 cells with 5-aza-2′-deoxycytidine inhibited differentiation in a stage-dependent manner, supporting the idea that formation of accurate DNA methylation profile, consisting of methylated and unmethylated T-DMRs, may be involved in differentiation. Analysis by methylation-sensitive quantitative real-time PCR of the 65 known T-DMRs which contain NotI sites detected 8 methylations that changed during differentiation, and the changes in the patterns of these methylations were diverse, confirming that the differentiation process involves epigenetic alteration at the T-DMRs. Intriguingly, the dynamics of the methylation change vary depending on the T-DMRs and differentiation stages. Restriction landmark genomic scanning detected 32 novel T-DMRs, demonstrating that differentiation of 3T3-L1 cells involves genome-wide epigenetic changes by temporal methylation/demethylation, in addition to maintenance of a static methylated/demethylated state, and both depend on differentiation stage.     

Expression of various genes is controlled by DNA methylation during mammalian development

Despite thousands of articles about 5-methylcytosine (m(5)C) residues in vertebrate DNA, there is still controversy concerning the role of genomic m(5)C in normal vertebrate development. Inverse correlations between expression and methylation are seen for many gene regulatory regions [Heard et al., 1997; Attwood et al., 2002; Plass and Soloway, 2002] although much vertebrate DNA methylation is in repeated sequences [Ehrlich et al., 1982]. At the heart of this debate is whether vertebrate DNA methylation has mainly a protective role in limiting expression of foreign DNA elements and endogenous transposons [Walsh and Bestor, 1999] or also is important in the regulation of the expression of diverse vertebrate genes involved in differentiation [Attwood et al., 2002]. Enough thorough studies have now been reported to show that many tissue- or development-specific changes in methylation at vertebrate promoters, enhancers, or insulators regulate expression and are not simply inconsequential byproducts of expression differences. One line of evidence comes from mutants with inherited alterations in genes encoding DNA methyltransferases and from rodents or humans with somatically acquired changes in DNA methylation that illustrate the disease-producing effects of abnormal methylation. Another type of evidence derives from studies of in vivo correlations between tissue-specific changes in DNA methylation and gene expression coupled with experiments demonstrating cause-and-effect associations between DNA hyper- or hypomethylation and gene expression. In this review, I summarize some of the strong evidence from both types of studies. Taken together, these studies demonstrate that DNA methylation in mammals modulates expression of many genes during development, causing major changes in or important fine-tuning of expression. Also, I discuss previously established and newly hypothesized mechanisms for this epigenetic control.     

Rising from the crypt: decreasing DNA methylation during differentiation of the small intestine

The differentiation of intestinal stem cells involves few DNA methylation changes, assayed by bisulfite sequencing, in contrast to other adult somatic stem cell hierarchies.Please see related Research article: http://genomebiology.com/2013/14/5/R50     

DNA methylation in embryonic stem cells

Embryonic stem cells (ESCs) are pluripotent, self‐renewing cells. These cells can be used in applications such as cell therapy, drug development, disease modeling, and the study of cellular differentiation. Investigating the interplay of epigenetics, genetics, and gene expression in control of pluripotence and differentiation could give important insights on how these cells function. One of the best known epigenetic factors is DNA methylation, which is a major mechanism for regulation of gene expression. This phenomenon is mostly seen in imprinted genes and X‐chromosome inactivation where DNA methylation of promoter regions leads to repression of gene expression. Differential DNA methylation of pluripotence‐associated genes such as Nanog and Oct4/Pou5f1 has been observed between pluripotent and differentiated cells. It is clear that tight regulation of DNA methylation is necessary for normal development. As more associations between aberrant DNA methylation and disease are reported, the demand for high‐throughput approaches for DNA methylation analysis has increased. In this article, we highlight these methods and discuss recent DNA methylation studies on ESCs. J. Cell. Biochem. 109: 1–6, 2010. © 2009 Wiley‐Liss, Inc.     

A systematic study of normalization methods for Infinium 450K methylation data using whole-genome bisulfite sequencing data

DNA methylation plays an important role in disease etiology. The Illumina Infinium HumanMethylation450 (450K) BeadChip is a widely used platform in large-scale epidemiologic studies. This platform can efficiently and simultaneously measure methylation levels at ∼480,000 CpG sites in the human genome in multiple study samples. Due to the intrinsic chip design of 2 types of chemistry probes, data normalization or preprocessing is a critical step to consider before data analysis. To date, numerous methods and pipelines have been developed for this purpose, and some studies have been conducted to evaluate different methods. However, validation studies have often been limited to a small number of CpG sites to reduce the variability in technical replicates. In this study, we measured methylation on a set of samples using both whole-genome bisulfite sequencing (WGBS) and 450K chips. We used WGBS data as a gold standard of true methylation states in cells to compare the performances of 8 normalization methods for 450K data on a genome-wide scale. Analyses on our dataset indicate that the most effective methods are peak-based correction (PBC) and quantile normalization plus β-mixture quantile normalization (QN.BMIQ). To our knowledge, this is the first study to systematically compare existing normalization methods for Illumina 450K data using novel WGBS data. Our results provide a benchmark reference for the analysis of DNA methylation chip data, particularly in white blood cells.     

Regulation beyond genome sequences: DNA and histone methylation in embryonic stem cells

Embryonic stem (ES) cells distinct themselves from other cell type populations by their pluripotent ability. The unique features of ES cells are controlled by both genetic and epigenetic factors. Studies have shown that the methylation status of DNA and histones in ES cells is quite different from that of differentiated cells and somatic stem cells. Herein, we summarized recent advances in DNA and histone methylation studies of mammalian ES cells. The methylation status of several key pluripotent regulatory genes is also discussed.     

血浆游离DNA全基因组甲基化测序的实用稳定性评估

随着液体活检技术的发展,血浆游离DNA成为当前的研究热点之一。血浆游离DNA的全基因组甲基化测序被认为在癌症检测等医学应用拥有巨大潜力,但目前尚缺乏针对该实验流程的实用稳定性评估。文中利用两名志愿者在不同时间采样的血浆游离DNA,在不同实验平台分别进行DNA甲基化的重亚硫酸盐转化前建库(Pre-BS)、转化后建库(Post-BS)和常规DNA建库,获取多因素影响下的测序数据样本。在此基础上,建立了一套血浆游离DNA测序数据分析的质量控制参考流程,综合评估了血液采集提取、游离DNA建库测序过程的实用稳定性,为血浆游离DNA全基因组甲基化测序应用于临床液体活检提供实用性的基础参考。     

外周全血中与老化相关的DNA甲基化标记的来源

机体老化与癌症、神经退行性疾病等许多复杂疾病相关。目前,研究者已在外周全血中识别了大量的与老化相关的DNA甲基化标记,这些标记可能反映外周血白细胞在机体老化过程中发生的变化,也可能反映外周血中与年龄相关的细胞构成比例的变化。文章利用3组正常个体外周全血DNA甲基化谱,采用Spearman秩相关分析识别了与老化相关的CpG甲基化位点(age-related DNA methylation CpG sites, arCpGs)并评价了其可重复性;利用去卷积算法估计了各外周血样本中髓性和淋巴性细胞的比例并分析了其与年龄的相关性;比较了在外周全血、CD4+T细胞和CD14+单核细胞中识别的arCpGs的一致性。结果显示,在独立外周全血数据中识别的arCpGs具有显著的可重复性(超几何检验,P=1.65×10^-11)。外周血髓性和淋巴性细胞的比例分别与年龄显著正、负相关(Spearman秩相关检验,P<0.05,r≤0.22),它们间DNA甲基化水平差异较大的CpG位点倾向于在外周全血中被识别为arCpGs。在CD4+T细胞中识别的arCpGs与在外周全血中识别的arCpGs显著交叠(超几何检验,P=6.14×10^-12),且99.1%的交叠位点在CD4+T细胞及外周全血中的DNA甲基化水平与年龄的正、负相关性一致。尽管在CD14+单核细胞中识别的arCpGs与在外周全血中识别的arCpGs并不显著交叠,但是在交叠的51个arCpGs中,有90.1%的位点在CD14+单核细胞、外周全血以及CD4+T细胞中的DNA甲基化水平与年龄的正、负相关性一致,提示它们可能主要反映细胞间共同的改变。在外周全血中识别的arCpGs主要反映某些白细胞共同或特异的DNA甲基化改变,但是也有一部分反映外周血细胞比例构成的变化。     

Comparison of bisulfite sequencing PCR with pyrosequencing for measuring differences in DNA methylation

DNA methylation strongly affects chromatin structure and the regulation of gene expression. For many years, bisulfite sequencing PCR (BSP) has served as the “gold standard” for measuring DNA methylation. However, with the evolution of pyrosequencing as a tool to evaluate DNA methylation, the need arises to compare the relative efficiencies of the two techniques in measuring DNA methylation. We provide for the first time a direct assessment of BSP and pyrosequencing to detect and quantify hypomethylation, hypermethylation, and mixed methylation of the ABCB1 promoter in various drug-sensitive and drug-resistant MCF-7 breast cancer cell lines through head-to-head experimentation. Our findings indicate that although both methods can reliably detect increased, decreased, and mixed methylation of DNA, BSP appears to be more sensitive than pyrosequencing at detecting strong hypermethylation of DNA. However, we also observed greater variability in the methylation of CpG sites by BSP, possibly due to the additional bacterial cloning step required by BSP over pyrosequencing. BSP and pyrosequencing equally detected hypomethylation and mixed methylation of DNA. The ability of pyrosequencing to reliably detect differences in DNA methylation across cell populations without requiring the cloning of bisulfite-treated DNA into bacterial expression vectors was seen as a major advantage of this technique.     

多能性胚胎干细胞与DNA甲基化的关系

胚胎干细胞是一种能够维持自我更新、具有无限扩增能力的多能性干细胞。灵长类多能干细胞（iPSCs）根据其发育能力、细胞形态、基因表达谱以及表观遗传学的差异分为初始态多能干细胞（pPSCs）和原始态多能干细胞（nPSCs）。nPSCs因其容易进行基因工程处理以及体内外再生出功能组织器官等优势而在临床潜在应用上备受关注,因而有效维持ESCs的原始状态对其用于基础及临床研究具有重要意义。nPSCs的线粒体活性和自我更新能力高于pPSCs,且这两种多能性干细胞在DNA甲基化等方面都存在明显差别,DNA甲基化在nPSCs的转化及代谢中起到重要的作用。本文综述了DNA甲基化对ESCs的作用,特别是维持原始态的作用。     

Epigenetic therapy of cancer stem and progenitor cells by targeting DNA methylation machineries

Recent advances in stem cell biology have shed light on how normal stem and progenitor cells can evolve to acquire malignant characteristics during tumorigenesis. The cancer counterparts of normal stem and progenitor cells might be occurred through alterations of stem cell fates including an increase in self-renewal capability and a decrease in differentiation and/or apoptosis. This oncogenic evolution of cancer stem and progenitor cells, which often associates with aggressive phenotypes of the tumorigenic cells, is controlled in part by dysregulated epigenetic mechanisms including aberrant DNA methylation leading to abnormal epigenetic memory. Epigenetic therapy by targeting DNA methyltransferases (DNMT) 1, DNMT3A and DNMT3B via 5-Azacytidine (Aza) and 5-Aza-2’-deoxycytidine (Aza-dC) has proved to be successful toward treatment of hematologic neoplasms especially for patients with myelodysplastic syndrome. In this review, I summarize the current knowledge of mechanisms underlying the inhibition of DNA methylation by Aza and Aza-dC, and of their apoptotic- and differentiation-inducing effects on cancer stem and progenitor cells in leukemia, medulloblastoma, glioblastoma, neuroblastoma, prostate cancer, pancreatic cancer and testicular germ cell tumors. Since cancer stem and progenitor cells are implicated in cancer aggressiveness such as tumor formation, progression, metastasis and recurrence, I propose that effective therapeutic strategies might be achieved through eradication of cancer stem and progenitor cells by targeting the DNA methylation machineries to interfere their “malignant memory”.