癌症DNA甲基化调控位点的识别

DNA甲基化是一种重要的表观遗传学修饰,在基因的转录调控方面具有重要的作用。异常的DNA甲基化可以导致癌症等复杂疾病发生,癌基因相关的DNA甲基化调控位点的识别对于解析癌症的发生发展机制及识别新的癌症标记具有重要意义。本研究通过整合The Cancer Genome Atlas(TCGA)的泛癌症基因组的高通量甲基化谱和基因表达谱,识别癌基因相关的DNA甲基化调控位点。对于每种癌症分批次计算Cp G位点甲基化与相关基因表达之间的相关性,并筛选调控下游基因的Cp G位点(包括强调控位点、弱调控位点和不调控位点),结果表明仅有一半的Cp G位点对下游基因具有调控作用;对癌症间共享的调控位点的分析发现不同癌症间共享的调控位点不尽相同,表明癌症特异的甲基化调控位点的存在。进一步地,对差异甲基化和差异表达基因的功能富集分析揭示了受甲基化调控的基因确实参与了癌症发生发展相关的功能。本研究的结果是对当前甲基化调控位点集的重要补充,也是识别癌症新型分子标记特征的重要资源。     

Single-molecule footprinting identifies context-dependent regulation of enhancers by DNA methylation

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The early pregnancy placenta foreshadows DNA methylation alterations of solid tumors

The placenta relies on phenotypes that are characteristic of cancer to successfully implant the embryo in the uterus during early pregnancy. Notably, it has to invade its host tissues, promote angiogenesis—while surviving hypoxia—, and escape the immune system. Similarities in DNA methylation patterns between the placenta and cancers suggest that common epigenetic mechanisms may be involved in regulating these behaviors. We show here that megabase-scale patterns of hypomethylation distinguish first from third trimester chorionic villi in the placenta, and that these patterns mirror those that distinguish many tumors from corresponding normal tissues. We confirmed these findings in villous cytotrophoblasts isolated from the placenta and identified a time window at the end of the first trimester, when these cells come into contact with maternal blood, as the likely time period for the methylome alterations. Furthermore, the large genomic regions affected by these patterns of hypomethylation encompass genes involved in pathways related to epithelial-mesenchymal transition, immune response, and inflammation. Analyses of expression profiles corresponding to genes in these hypomethylated regions in colon adenocarcinoma tumors point to networks of differentially expressed genes previously implicated in carcinogenesis and placentogenesis, where nuclear factor kappa B is a key hub. Taken together, our results suggest the existence of epigenetic switches involving large-scale changes of methylation in the placenta during pregnancy and in tumors during neoplastic transformation. The characterization of such epigenetic switches might lead to the identification of biomarkers and drug targets in oncology as well as in obstetrics and gynecology.     

MicroRNA mediates DNA methylation of target genes

Small RNAs represented by microRNA (miRNA) plays important roles in plant development and responds to biotic and abiotic stresses. Previous studies have placed special emphasis on gene-repression mediated by miRNA. In this work, the DNA methylation pattern of microRNA genes (MIRs) was interrogated. Full-length cDNA and EST were used to confirm the entity of pri-miRNA. In parallel, miRNA in 24 nucleotides (nt) was pooled to detect chromatin modification effect by using bisulfite sequencing data. 97 MIRs were supported by full-length cDNA and 30 more were hit by EST. Notably, methylation levels of conserved MIRs were significantly lower than the non-conserved at all contexts (CG, CHG, and CHH). Additionally, a substantial part of 24-nt miRNA was able to induce target site methylation, providing a broader perspective for researchers.     

基于表观基因组学的DNA元件鉴定方法研究进展

在人类基因组测序已经完成的"后基因组"时代,对基因组序列的功能注释,尤其是各种DNA调控元件的鉴定,已成为进一步理解人类基因组复杂机制的瓶颈问题.最近,针对染色质状态图谱的大规模研究工作,揭示了各类DNA元件特征性的染色质修饰标记.这些研究结果推动了一系列基于有监督和无监督学习的DNA元件预测方法的产生,其中一些方法已经成功应用于多个基因组的DNA元件预测,并且已成为未知基因组的常规注释工具.这些预测方法因其算法特点和预测策略不同而适用于不同类型的DNA元件预测任务.大多数情况下,使用者需要联合使用多个预测方法来达到预测敏感性和特异性的平衡.尽管各类算法在DNA元件预测中都有一些成功的应用,但每一类算法都有其特有的弊端,需要使用者认真避免.本文回顾了前期和当下DNA元件预测方法的主要类型,全面分析了各类方法的优缺点,指出了下一步可以改进的方向.本综述中的分析和观点有助于读者深入理解DNA元件预测算法的主要原则,进而在相关研究中更好地应用这些方法.     

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。     

癌症相关的DNA甲基化连锁区域

DNA甲基化是重要的表观遗传标记之一,在转录调控中起直接作用。DNA甲基化的异常与癌症的发生发展密切相关。高通量测序使得在单碱基分辨率下检测全基因组的DNA甲基化水平成为可能。本文基于临近CpGs位点甲基化水平的相关性挖掘DNA甲基化连锁区域。结果发现DNA甲基化连锁区域的甲基化水平和模式在癌症中存在异常,而且显著富集到分化/发育相关的生物学功能。DNA甲基化连锁区域的挖掘有助于对具有生物学功能的表观遗传标记的进一步理解,有助于对癌症诊断的表观遗传标记的挖掘。     

DNA甲基化——肿瘤产生的一种表观遗传学机制

在人类基因组中,DNA甲基化是一种表观遗传修饰,它与肿瘤的发生关系密切。抑癌基因和DNA修复基因的高甲基化、重复序列DNA的低甲基化、某些印记基因的印记丢失与多种肿瘤的发生有关。目前研究发现,基因组中甲基化的水平不仅受DNA 甲基化转移酶（DNMT）的影响,还与组蛋白甲基化、叶酸摄入、RNA干扰等多种因素有关。DNA甲基化在基因转录过程中扮有重要角色,并与组蛋白修饰、染色质构型重塑共同参与转录调控。     

Cell type-dependent, infection-induced, aberrant DNA methylation in gastric cancer

Epigenetic changes correspond to heritable modifications of the chromatin structure, which do not involve any alteration of the DNA sequence but nonetheless affect gene expression. These mechanisms play an important role in cell differentiation, but aberrant occurrences are also associated with a number of diseases, including cancer and neural development disorders.In particular, aberrant DNA methylation induced by H. Pylori has been found to be a significant risk factor in gastric cancer. To investigate the sensitivity of different genes and cell types to this infection, a computational model of methylation in gastric crypts is developed.In this article, we review existing results from physical experiments and outline their limitations, before presenting the computational model and investigating the influence of its parameters.     

Genome-wide aberrant DNA methylation of microRNA host genes in hepatocellular carcinoma

Mature microRNAs (miRNAs) are a class of small non-coding RNAs involved in posttranslational gene silencing. Previous studies found that downregulation of miRNAs is a common feature observed in solid tumors, including hepatocellular carcinoma (HCC). We employed a genome-wide approach to test the hypothesis that DNA methylation alterations in miRNA host genes may cause deregulated miRNA expression in HCC. We analyzed tumor and adjacent non-tumor tissues from 62 Taiwanese HCC cases using Infinium HumanMethylation27 DNA Analysis BeadChips that include 254 CpG sites covering 110 miRNAs from 64 host genes. Expression levels of three identified miRNAs (miR-10a, miR-10b and miR-196b) were measured in a subset of 37 HCC tumor and non-tumor tissues. After Bonferroni adjustment, a total of 54 CpG sites from 27 host genes significantly differed in DNA methylation levels between tumor and adjacent non-tumor tissues with 53 sites significantly hypermethylated in tumor tissues. Among the 54 significant CpG sites, 15 sites had more than 2-fold tumor/non-tumor changes, 17 sites had differences > 10%, and 10 sites had both features [including 8 significantly hypermethylated CpG sites in the host genes of miR-10a, miR-10b and miR-196b (HOXB4, HOXD4 and HOXA9, respectively)]. Significant downregulation of miR-10a was observed in tumor compared with non-tumor tissues (0.50 vs. 1.73, p = 0.031). The concordance for HOXB4 methylation alteration and dysregulation of miR-10a was 73.5%. No significant change was observed for miR-10b expression. Unexpectedly, miR-196b was significantly upregulated in tumor compared with non-tumor tissues (p = 0.0001). These data suggest that aberrant DNA methylation may lead to dysregulation of miR-10a in HCC tumor tissues.     

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.     

Dissecting DNA hypermethylation in cancer

There is compelling evidence to support the importance of DNA methylation alterations in cancer development. Both losses and gains of DNA methylation are observed, thought to contribute pathophysiologically by inactivating tumor suppressor genes, inducing chromosomal instability and ectopically activating gene expression. Lesser known are the causes of aberrant DNA methylation. Recent studies have pointed out that intrinsic gene susceptibility to DNA methylation, environmental factors and gene function all have an intertwined participation in this process. Overall, these data support a deterministic rather than a stochastic mechanism for de novo DNA methylation in cancer. In this review article, we discuss the technologies available to study DNA methylation and the endogenous and exogenous factors that influence the onset of de novo methylation in cancer.     

Genome-wide aberrant DNA methylation of microRNA host genes in hepatocellular carcinoma

Mature microRNAs (miRNAs) are a class of small non-coding RNAs involved in posttranslational gene silencing. Previous studies found that downregulation of miRNAs is a common feature observed in solid tumors, including hepatocellular carcinoma (HCC). We employed a genome-wide approach to test the hypothesis that DNA methylation alterations in miRNA host genes may cause deregulated miRNA expression in HCC. We analyzed tumor and adjacent non-tumor tissues from 62 Taiwanese HCC cases using Infinium HumanMethylation27 DNA Analysis BeadChips that include 254 CpG sites covering 110 miRNAs from 64 host genes. Expression levels of three identified miRNAs (miR-10a, miR-10b and miR-196b) were measured in a subset of 37 HCC tumor and non-tumor tissues. After Bonferroni adjustment, a total of 54 CpG sites from 27 host genes significantly differed in DNA methylation levels between tumor and adjacent non-tumor tissues with 53 sites significantly hypermethylated in tumor tissues. Among the 54 significant CpG sites, 15 sites had more than 2-fold tumor/non-tumor changes, 17 sites had differences > 10%, and 10 sites had both features [including 8 significantly hypermethylated CpG sites in the host genes of miR-10a, miR-10b and miR-196b (HOXB4, HOXD4 and HOXA9, respectively)]. Significant downregulation of miR-10a was observed in tumor compared with non-tumor tissues (0.50 vs. 1.73, p = 0.031). The concordance for HOXB4 methylation alteration and dysregulation of miR-10a was 73.5%. No significant change was observed for miR-10b expression. Unexpectedly, miR-196b was significantly upregulated in tumor compared with non-tumor tissues (p = 0.0001). These data suggest that aberrant DNA methylation may lead to dysregulation of miR-10a in HCC tumor tissues.     

Genome‐wide mapping of cytosine methylation revealed dynamic DNA methylation patterns associated with genes and centromeres in rice

We conducted genome‐wide mapping of cytosine methylation using methylcytosine immunoprecipitation combined with Illumina sequencing. The chromosomal distribution pattern of methylated DNA is similar to the heterochromatin distribution pattern on rice chromosomes. The DNA methylation patterns of rice genes are similar to those in Arabidopsis thaliana, including distinct methylation patterns asssociated with gene bodies and promoters. The DNA sequences in the core domains of rice Cen4, Cen5 and Cen8 showed elevated methylation levels compared with sequences in the pericentromeric regions. In addition, elevated methylation levels were associated with the DNA sequences in the CENH3‐binding subdomains, compared with the sequences in the flanking H3 subdomains. In contrast, the centromeric domain of Cen11, which is composed exclusively of centromeric satellite DNA, is hypomethylated compared with the pericentromeric domains. Thus, the DNA sequences associated with functional centromeres can be either hypomethylated or hypermethylated. The methylation patterns of centromeric DNA appear to be correlated with the composition of the associated DNA sequences. We propose that both hypomethylation and hypermethylation of CENH3‐associated DNA sequences can serve as epigenetic marks to distinguish where CENH3 deposition will occur within the surrounding H3 chromatin.     

Identification of differentially methylated sites within unmethylated DNA domains in normal and cancer cells

Altered DNA methylation has been linked to neoplastic cell transformation and is a hallmark of cancer progression. Therefore, the screening for differentially methylated sequences as tumor biomarkers has a significant implication in the clinical setting. To determine the cancer-linked alterations in DNA methylation pattern, we have applied an endonuclease, McrBC, to the existing methylation-sensitive arbitrarily primed polymerase chain reaction (msAP-PCR) method and developed McrBC-msAP-PCR. This modified approach allows detection of differentially methylated sites within unmethylated DNA domains enriched by regulatory sequences and CpG islands. In this method, we used digestion of DNA with the McrBC methylation-sensitive endonuclease to selectively exclude the methylated fraction of DNA, which comprises interspersed and tandem-repeated sequences and exons other than first exons, from analysis. The subsequent digestion of unmethylated DNA fragments with SmaI and HpaII methylation-sensitive restriction endonucleases followed by AP-PCR amplification resulted in the detection of unknown unique sequences associated with cancer-linked methylation changes in genomic DNA. Hypermethylation and hypomethylation are visualized by the increase or decrease in the band intensity of DNA fingerprints. By using this technique, we were able to differentiate clearly, identify, and characterize a number of novel unique DNA sequences with differentially methylated sites in normal and breast cancer cell lines and in normal and rat tumor liver tissues.     

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.     

Polyploidy and DNA methylation: new tools available

Most plant species are recent or ancient polyploids (displaying at least one round of genome duplication in their history). Cultivated species (e.g. wheat, cotton, canola, sugarcane, coffee) and invasive species are often relatively recent polyploids, and frequently of hybrid origin (i.e. allopolyploids). Despite the genetic bottleneck occurring during the allopolyploid speciation process, the formation of such species from two divergent lineages leads to fixed heterozygosity decisive to their success. New phenotypes and new niche occupation are usually associated with this mode of speciation, as a result of both genomic rearrangements and gene expression changes of different magnitudes depending on the different polyploid species investigated. These gene expression changes affecting newly formed polyploid species may result from various, interconnected mechanisms, including (i) functional interactions between the homoeologous copies and between their products, that are reunited in the same nucleus and cell; (ii) the fate of duplicated copies, selective pressure on one of the parental copy being released which could lead to gene loss, pseudogenization, or alternatively, to subfunctionalization or neofunctionalization; and (iii) epigenetic landscape changes that in turn affect gene expression. As one of the interrelated processes leading to epigenetic regulation of gene expression, the DNA methylation status of newly formed species appears to be consistently affected following both hybridization and genome doubling. In this issue, Verhoeven et al. have investigated the fate of DNA methylation patterns that could affect naturally occurring new asexual triploid lineages of dandelions. As a result of such a ploidy level change, the authors demonstrate stably transmitted DNA methylation changes leading to unique DNA methylation patterns in each newly formed lineage. Most studies published to date on plant DNA methylation polymorphism were performed using restriction enzymes sensitive to methylation. Recently, new high‐throughput methods were made available, thanks to the development of ‘next‐generation sequencing’ techniques. The combination of these methods offers powerful and promising tools to investigate epigenetic variation in both model and non‐model systems.