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.     

Integrative analysis identifies potential DNA methylation biomarkers for pan-cancer diagnosis and prognosis

DNA methylation status is closely associated with diverse diseases, and is generally more stable than gene expression, thus abnormal DNA methylation could be important biomarkers for tumor diagnosis, treatment and prognosis. However, the signatures regarding DNA methylation changes for pan-cancer diagnosis and prognosis are less explored. Here we systematically analyzed the genome-wide DNA methylation patterns in diverse TCGA cancers with machine learning. We identified seven CpG sites that could effectively discriminate tumor samples from adjacent normal tissue samples for 12 main cancers of TCGA (1216 samples, AUC > 0.99). Those seven potential diagnostic biomarkers were further validated in the other 9 different TCGA cancers and 4 independent datasets (AUC > 0.92). Three out of the seven CpG sites were correlated with cell division, DNA replication and cell cycle. We also identified 12 CpG sites that can effectively distinguish 26 different cancers (7605 samples), and the result was repeatable in independent datasets as well as two disparate tumors with metastases (micro-average AUC > 0.89). Furthermore, a series of potential signatures that could significantly predict the prognosis of tumor patients for 7 different cancer were identified via survival analysis (p-value < 1e-4). Collectively, DNA methylation patterns vary greatly between tumor and adjacent normal tissues, as well as among different types of cancers. Our identified signatures may aid the decision of clinical diagnosis and prognosis for pan-cancer and the potential cancer-specific biomarkers could be used to predict the primary site of metastatic breast and prostate cancers.     

甲基化修饰在细菌表观调控中的功能

为了适应复杂多变的生存环境,微生物通常需要在保证基因组序列不变的前提下不断调整胞内代谢网络。表观调控可以在不改变DNA序列的情况下对基因表达进行调控,因此成为细菌中重要的调控方式。作为一种DNA修饰,DNA甲基化修饰是生物体中最常见的表观调控工具。在本文中我们全面、深入解析了两种孤儿甲基转移酶:DNA腺嘌呤甲基转移酶(DNA adenine methyltransferase,Dam)和细胞周期调控甲基转移酶(Cell cycle-regulated methyltransferase,Ccr M)在原核生物中的表观调控功能。我们主要探讨了DNA甲基化参与的细胞生理过程包括DNA复制起始、DNA错配修复、基因表达调控、致病性和相变异等方面。同时,我们结合三维基因组研究技术基因组结构捕获(Chromosome conformation capture,3C)技术和新型DNA磷硫酰化修饰讨论了该领域的发展前景。     

DNA甲基化异常与肿瘤耐药

肿瘤耐药是导致肿瘤化疗失败的主要原因, 其产生机制复杂多样, 是多种因素共同作用的结果。近年来, 表观遗传改变在肿瘤耐药中的作用日益受到关注。DNA甲基化是一种重要的表观遗传修饰, 在调节基因表达和维持基因组稳定性中扮演着重要角色。原发性或获得性耐药的肿瘤细胞大多伴随DNA异常甲基化, 越来越多的证据显示, DNA甲基化异常是肿瘤细胞耐药表型产生的重要机制。文章就DNA甲基化异常与肿瘤细胞耐药的关系及相关作用机制进行了综述。     

线粒体DNA与DNA甲基化的关系

线粒体DNA（mitochondrial DNA,mtDNA）遗传信息量虽小,却控制着线粒体一些最基本的性质,对细胞及其功能有着重要影响。mtDNA的损伤与衰老、肿瘤等疾病的发生有关。DNA甲基化是调节基因表达的重要方式之一。mtDNA基因的表达受核DNA（nuclear DNA,nDNA）的调控,mtDNA和nDNA协同作用参与机体代谢调节和发病。本文就近年来mtDNA与DNA甲基化的关系作一综述。     

Histone H1 affects gene imprinting and DNA methylation in Arabidopsis

Imprinting, i.e. parent-of-origin expression of alleles, plays an important role in regulating development in mammals and plants. DNA methylation catalyzed by DNA methyltransferases plays a pivotal role in regulating imprinting by silencing parental alleles. DEMETER (DME), a DNA glycosylase functioning in the base-excision DNA repair pathway, can excise 5-methylcytosine from DNA and regulate genomic imprinting in Arabidopsis. DME demethylates the maternal MEDEA (MEA) promoter in endosperm, resulting in expression of the maternal MEA allele. However, it is not known whether DME interacts with other proteins in regulating gene imprinting. Here we report the identification of histone H1.2 as a DME-interacting protein in a yeast two-hybrid screen, and confirmation of their interaction by the in vitro pull-down assay. Genetic analysis of the loss-of-function histone h1 mutant showed that the maternal histone H1 allele is required for DME regulation of MEA, FWA and FIS2 imprinting in Arabidopsis endosperm but the paternal allele is dispensable. Furthermore, we show that mutations in histone H1 result in an increase of DNA methylation in the maternal MEA and FWA promoter in endosperm. Our results suggest that histone H1 is involved in DME-mediated DNA methylation and gene regulation at imprinted loci.     

DNA methylation regulates tissue-specific expression of Shank3

Tissue-specific gene expression can be controlled by epigenetic modifications such as DNA methylation. SHANK3, together with its homologues SHANK1 and SHANK2, has a central functional and structural role in excitatory synapses and is involved in the human chromosome 22q13 deletion syndrome. In this report, we show by DNA methylation analysis in lymphocytes, brain cortex, cerebellum and heart that the three SHANK genes possess several methylated CpG boxes, but only SHANK3 CpG islands are highly methylated in tissues where protein expression is low or absent and unmethylated where expression is present. SHANK3 protein expression is significantly reduced in hippocampal neurons after treatment with methionine, while HeLa cells become able to express SHANK3 after treatment with 5-Aza-2'-deoxycytidine. Altogether, these data suggest the existence of a specific epigenetic control mechanism regulating SHANK3, but not SHANK1 and SHANK2, expression.     

DNA甲基转移酶的表达调控及主要生物学功能

DNA甲基化是表观遗传学的重要部分, 同组蛋白修饰相互作用, 通过改变染色质结构, 调控基因表达。在哺乳类细胞或人体细胞中, DNA甲基化与细胞的增殖、衰老、癌变等生命现象有着重大关系。对催化DNA甲基化的DNA甲基转移酶(DNA methyltransferase, Dnmt)的研究可以揭示DNA甲基化对基因表达调控的机制, 从而研究与之相关的重要生命活动。文章以DNA甲基转移酶作为切入点, 探讨DNA甲基转移酶在基因表达调控中发挥的作用及其主要生物学功能。     

Robust prediction of gene regulation in colorectal cancer tissues from DNA methylation profiles

DNA methylation is recognized as one of several epigenetic regulators of gene expression and as potential driver of carcinogenesis through gene-silencing of tumor suppressors and activation of oncogenes. However, abnormal methylation, even of promoter regions, does not necessarily alter gene expression levels, especially if the gene is already silenced, leaving the exact mechanisms of methylation unanswered. Using a large cohort of matching DNA methylation and gene expression samples of colorectal cancer (CRC; n = 77) and normal adjacent mucosa tissues (n = 108), we investigated the regulatory role of methylation on gene expression. We show that on a subset of genes enriched in common cancer pathways, methylation is significantly associated with gene regulation through gene-specific mechanisms. We built two classification models to infer gene regulation in CRC from methylation differences of tumor and normal tissues, taking into account both gene-silencing and gene-activation effects through hyper- and hypo-methylation of CpGs. The classification models result in high prediction performances in both training and independent CRC testing cohorts (0.92<AUC<0.97) as well as in individual patient data (average AUC = 0.82), suggesting a robust interplay between methylation and gene regulation. Validation analysis in other cancerous tissues resulted in lower prediction performances (0.69<AUC<0.90); however, it identified genes that share robust dependencies across cancerous tissues. In conclusion, we present a robust classification approach that predicts the gene-specific regulation through DNA methylation in CRC tissues with possible transition to different cancer entities. Furthermore, we present HMGA1 as consistently associated with methylation across cancers, suggesting a potential candidate for DNA methylation targeting cancer therapy.     

A novel approach to the discovery of survival biomarkers in glioblastoma using a joint analysis of DNA methylation and gene expression

Glioblastoma multiforme (GBM) is the most aggressive of all brain tumors, with a median survival of less than 1.5 years. Recently, epigenetic alterations were found to play key roles in both glioma genesis and clinical outcome, demonstrating the need to integrate genetic and epigenetic data in predictive models. To enhance current models through discovery of novel predictive biomarkers, we employed a genome-wide, agnostic strategy to specifically capture both methylation-directed changes in gene expression and alternative associations of DNA methylation with disease survival in glioma. Human GBM-associated DNA methylation, gene expression, IDH1 mutation status, and survival data were obtained from The Cancer Genome Atlas. DNA methylation loci and expression probes were paired by gene, and their subsequent association with survival was determined by applying an accelerated failure time model to previously published alternative and expression-based association equations. Significant associations were seen in 27 unique methylation/expression pairs with expression-based, alternative, and combinatorial associations observed (10, 13, and 4 pairs, respectively). The majority of the predictive DNA methylation loci were located within CpG islands, and all but three of the locus pairs were negatively correlated with survival. This finding suggests that for most loci, methylation/expression pairs are inversely related, consistent with methylation-associated gene regulatory action. Our results indicate that changes in DNA methylation are associated with altered survival outcome through both coordinated changes in gene expression and alternative mechanisms. Furthermore, our approach offers an alternative method of biomarker discovery using a priori gene pairing and precise targeting to identify novel sites for locus-specific therapeutic intervention.     

A novel approach to the discovery of survival biomarkers in glioblastoma using a joint analysis of DNA methylation and gene expression

Glioblastoma multiforme (GBM) is the most aggressive of all brain tumors, with a median survival of less than 1.5 years. Recently, epigenetic alterations were found to play key roles in both glioma genesis and clinical outcome, demonstrating the need to integrate genetic and epigenetic data in predictive models. To enhance current models through discovery of novel predictive biomarkers, we employed a genome-wide, agnostic strategy to specifically capture both methylation-directed changes in gene expression and alternative associations of DNA methylation with disease survival in glioma. Human GBM-associated DNA methylation, gene expression, IDH1 mutation status, and survival data were obtained from The Cancer Genome Atlas. DNA methylation loci and expression probes were paired by gene, and their subsequent association with survival was determined by applying an accelerated failure time model to previously published alternative and expression-based association equations. Significant associations were seen in 27 unique methylation/expression pairs with expression-based, alternative, and combinatorial associations observed (10, 13, and 4 pairs, respectively). The majority of the predictive DNA methylation loci were located within CpG islands, and all but three of the locus pairs were negatively correlated with survival. This finding suggests that for most loci, methylation/expression pairs are inversely related, consistent with methylation-associated gene regulatory action. Our results indicate that changes in DNA methylation are associated with altered survival outcome through both coordinated changes in gene expression and alternative mechanisms. Furthermore, our approach offers an alternative method of biomarker discovery using a priori gene pairing and precise targeting to identify novel sites for locus-specific therapeutic intervention.     

Genome‐wide variation in DNA methylation is associated with stress resilience and plumage brightness in a wild bird

Individuals often differ in their ability to cope with challenging environmental and social conditions. Evidence from model systems suggests that patterns of DNA methylation are associated with variation in coping ability. These associations could arise directly if methylation plays a role in controlling the physiological response to stressors by, among other things, regulating the release of glucocorticoids in response to challenges. Alternatively, the association could arise indirectly if methylation and resilience have a common cause, such as early‐life conditions. In either case, methylation might act as a biomarker for coping ability. At present, however, relatively little is known about whether variation in methylation is associated with organismal performance and resilience under natural conditions. We studied genome‐wide patterns of DNA methylation in free‐living female tree swallows (Tachycineta bicolor) using methylated DNA immunoprecipitation (MeDIP) and a tree swallow genome that was assembled for this study. We identified areas of the genome that were differentially methylated with respect to social signal expression (breast brightness) and physiological traits (ability to terminate the glucocorticoid stress response through negative feedback). We also asked whether methylation predicted resilience to a subsequent experimentally imposed challenge. Individuals with brighter breast plumage and higher stress resilience had lower methylation at differentially methylated regions across the genome. Thus, widespread differences in methylation predicted both social signal expression and the response to future challenges under natural conditions. These results have implications for predicting individual differences in resilience, and for understanding the mechanistic basis of resilience and its environmental and social mediators.     

Silencing of transgene expression in mammalian cells by DNA methylation and histone modifications in gene therapy perspective

DNA methylation and histone modifications are vital in maintaining genomic stability and modulating cellular functions in mammalian cells. These two epigenetic modifications are the most common gene regulatory systems known to spatially control gene expression. Transgene silencing by these two mechanisms is a major challenge to achieving effective gene therapy for many genetic conditions. The implications of transgene silencing caused by epigenetic modifications have been extensively studied and reported in numerous gene delivery studies. This review highlights instances of transgene silencing by DNA methylation and histone modification with specific focus on the role of these two epigenetic effects on the repression of transgene expression in mammalian cells from integrative and non-integrative based gene delivery systems in the context of gene therapy. It also discusses the prospects of achieving an effective and sustained transgene expression for future gene therapy applications.     

Putting DNA methylation in context: from genomes to gene expression in plants

Plant DNA methylation is its own language, interpreted by the cell to maintain silencing of transposons, facilitate chromatin structure, and to ensure proper expression of some genes. Just as in any language, context is important. Rather than being a simple “on-off switch”, DNA methylation has a range of “meanings” dependent upon the underlying sequence and its location in the genome. Differences in the sequence context of individual sites are established, maintained, and interpreted by differing molecular pathways. Varying patterns of methylation within genes and surrounding sequences are associated with a continuous range of expression differences, from silencing to constitutive expression. These often-subtle differences have been pieced together from years of effort, but have taken off with the advent of methods for assessing methylation across entire genomes. Recognizing these patterns and identifying underlying causes is essential for understanding the function of DNA methylation and its systems-wide contribution to a range of processes in plant genomes. This article is part of a Special Issue entitled: Plant Gene Regulatory Mechanisms and Networks, edited by Dr. Erich Grotewold and Dr. Nathan Springer.