Genome-wide profiling of DNA methylation reveals a class of normally methylated CpG island promoters

The role of CpG island methylation in normal development and cell differentiation is of keen interest, but remains poorly understood. We performed comprehensive DNA methylation profiling of promoter regions in normal peripheral blood by methylated CpG island amplification in combination with microarrays. This technique allowed us to simultaneously determine the methylation status of 6,177 genes, 92% of which include dense CpG islands. Among these 5,549 autosomal genes with dense CpG island promoters, we have identified 4.0% genes that are nearly completely methylated in normal blood, providing another exception to the general rule that CpG island methylation in normal tissue is limited to X inactivation and imprinted genes. We examined seven genes in detail, including ANKRD30A, FLJ40201, INSL6, SOHLH2, FTMT, C12orf12, and DPPA5. Dense promoter CpG island methylation and gene silencing were found in normal tissues studied except testis and sperm. In both tissues, bisulfite cloning and sequencing identified cells carrying unmethylated alleles. Interestingly, hypomethylation of several genes was associated with gene activation in cancer. Furthermore, reactivation of silenced genes could be induced after treatment with a DNA demethylating agent or in a cell line lacking DNMT1 and/or DNMT3b. Sequence analysis identified five motifs significantly enriched in this class of genes, suggesting that cis-regulatory elements may facilitate preferential methylation at these promoter CpG islands. We have identified a group of non-X-linked bona fide promoter CpG islands that are densely methylated in normal somatic tissues, escape methylation in germline cells, and for which DNA methylation is a primary mechanism of tissue-specific gene silencing.     

DNA Methylation Differences Associated with Tumor Tissues Identified by Genome Scanning Analysis

Most investigations on the role of DNA methylation in cancer have focused on epigenetic changes associated with known tumor suppressor genes. This may have led to an underestimation of the number of CpG islands altered by DNA methylation, since it is possible that a subset of unknown genes relevant to cancer development may preferentially be affected by epigenetic rather than genetic means and would not be identified as familial deletions, mutations, or loss of heterozygosity. We used a recently developed screening procedure (methylation-sensitive arbitrarily primed-polymerase chain reaction to scan genomic DNA for CpG islands methylated in white blood cells (WBCs) and in tumor tissues. DNA methylation pattern analysis showed little interindividual differences in the WBCs and normal epithelium (adjacent to colon, bladder, and prostate cancer cells), but with some tissue-specific differences. Cancer cells showed marked methylation changes that varied considerably between different tumors, suggesting variable penetrance of the methylation phenotype in patients. Direct sequencing of 8 of 45 bands altered in these cancers showed that several of them were CpG islands, and 2 of these sequences were identified in GenBank. Surprisingly, three of the bands studied corresponded to transcribed regions of genes. Thus, hypermethylation of CpG islands in cancer cells is not confined to the promoters of growth regulatory genes but is also found in actively transcribed regions.     

Genome-wide analysis of DNA methylation status of CpG islands in embryoid bodies, teratomas, and fetuses

Differentiation of embryonic stem (ES) cells into embryoid bodies (EBs) provides an in vitro system for the study of early lineage determination during mammalian development. We have previously reported that there are 247 CpG islands that potentially have tissue-dependent and differentially methylated regions (T-DMRs). This provided evidence that the formation of DNA methylation patterns at CpG islands is a crucial epigenetic event underlying mammalian development. Here we present an analysis by the restriction landmark genomic scanning (RLGS) using NotI as a landmark enzyme of the genome-wide methylation status of CpG islands of ES cells and EBs and of teratomas produced from ES cells. These results are considered in relation to the methylation status of CpG islands of genomic DNA from normal fetus (10.5 dpc) and adult tissues. We have prepared a DNA methylation panel that consists of 259 T-DMRs and includes novel T-DMRs that are distinctly methylated or unmethylated in the teratomas. The DNA methylation pattern was complex and differed for the ES cells, EBs, and teratomas, providing evidence that differentiation of cells involves both de novo DNA methylation as well as demethylation. Comparison of the numbers of T-DMRs, that were differentially methylated or unmethylated among the cells and tissue types studied, revealed that the teratomas were the most epigenetically different from ES cells. Thus, analysis of the DNA methylation profiles prepared in this study provides new insights into the differentiation of ES cells and development of fetus, EB, teratoma, and somatic tissues.     

DNA methylation in states of cell physiology and pathology

DNA methylation is one of epigenetic mechanisms regulating gene expression. The methylation pattern is determined during embryogenesis and passed over to differentiating cells and tissues. In a normal cell, a significant degree of methylation is characteristic for extragenic DNA (cytosine within the CG dinucleotide) while CpG islands located in gene promoters are unmethylated, except for inactive genes of the X chromosome and the genes subjected to genomic imprinting. The changes in the methylation pattern, which may appear as the organism age and in early stages of cancerogenesis, may lead to the silencing of over ninety endogenic genes. It has been found, that these disorders consist not only of the methylation of CpG islands, which are normally unmethylated, but also of the methylation of other dinucleotides, e.g. CpA. Such methylation has been observed in non-small cell lung cancer, in three regions of the exon 5 of the p53 gene (so-called "non-CpG" methylation). The knowledge of a normal methylation process and its aberrations appeared to be useful while searching for new markers enabling an early detection of cancer. With the application of the Real-Time PCR technique (using primers for methylated and unmethylated sequences) five new genes which are potential biomarkers of lung cancer have been presented.     

CpG island methylation pattern in different human tissues and its correlation with gene expression

The study on DNA methylation pattern in different human tissues attracts increasing interest nowadays, but a systematic analysis of CpG island methylation pattern between both somatic tissues and gametocyte is still lacking. In this work, we analyzed the CpG island methylation data of sperm and other 11 somatic tissues from Human Epigenome Project, and found that the CpG island methylation profiles are highly correlated between somatic tissues, while the methylation profile in sperm is quite distinct. Furthermore, we observed that in the six tissues investigated, there is no obvious correlation between the methylation level of promoter CpG islands and corresponding gene expression across different tissues.     

Linking the epigenome to the genome: correlation of different features to DNA methylation of CpG islands

DNA methylation of CpG islands plays a crucial role in the regulation of gene expression. More than half of all human promoters contain CpG islands with a tissue-specific methylation pattern in differentiated cells. Still today, the whole process of how DNA methyltransferases determine which region should be methylated is not completely revealed. There are many hypotheses of which genomic features are correlated to the epigenome that have not yet been evaluated. Furthermore, many explorative approaches of measuring DNA methylation are limited to a subset of the genome and thus, cannot be employed, e.g., for genome-wide biomarker prediction methods. In this study, we evaluated the correlation of genetic, epigenetic and hypothesis-driven features to DNA methylation of CpG islands. To this end, various binary classifiers were trained and evaluated by cross-validation on a dataset comprising DNA methylation data for 190 CpG islands in HEPG2, HEK293, fibroblasts and leukocytes. We achieved an accuracy of up to 91% with an MCC of 0.8 using ten-fold cross-validation and ten repetitions. With these models, we extended the existing dataset to the whole genome and thus, predicted the methylation landscape for the given cell types. The method used for these predictions is also validated on another external whole-genome dataset. Our results reveal features correlated to DNA methylation and confirm or disprove various hypotheses of DNA methylation related features. This study confirms correlations between DNA methylation and histone modifications, DNA structure, DNA sequence, genomic attributes and CpG island properties. Furthermore, the method has been validated on a genome-wide dataset from the ENCODE consortium. The developed software, as well as the predicted datasets and a web-service to compare methylation states of CpG islands are available at http://www.cogsys.cs.uni-tuebingen.de/software/dna-methylation/.     

Bisulfite genomic sequencing of microdissected cells

Mapping of methylation patterns in CpG islands has become an important tool for understanding tissue-specific gene expression in both normal and pathological situations. However, the inherent cellular heterogeneity of any given tissues can affect the outcome and interpretation of molecular studies. In order to analyse genomic DNA methylation on a pure cell population from tissue sample, we have developed a simple technique of single-cell microdissection from cryostat sections which can be combined with bisulfite-mediated sequencing of 5-methylcytosine. We report here our results on the methylation status of the androgen receptor gene studied by bisulfite genomic sequencing on purified cells isolated from human testis.     

Histone methylation marks play important roles in predicting the methylation status of CpG islands

The methylation status of CpG islands is highly correlated with gene expression. Current methods for computational prediction of DNA methylation only utilize DNA sequence features. In this study, besides 35 DNA sequence features, we added four histone methylation marks to predict the methylation status of CpG islands, and improved the accuracy to 89.94%. Also we applied our model to predict the methylation pattern of all the CpG islands in the human genome, and the results are consistent with the previous reports. Our results imply the important roles of histone methylation marks in affecting the methylation status of CpG islands. H3K4me enriched in the methylation-resistant CpG islands could disrupt the contacts between nucleosomes, unravel chromatin and make DNA sequences accessible. And the established open environment may be a prerequisite for or a consequence of the function implementation of zinc finger proteins that could protect CpG islands from DNA methylation.     

DNA Methylation-Dependent Epigenetic Regulation of Gene Expression in MCF-7 Breast Cancer Cells

To identify epigenetically-regulated genes in breast cancer, MCF-7 cells were exposed to 250nM 5-aza or 5-aza + 50nM TSA for 3 weeks followed by a 5 week recovery period after treatment withdrawal and gene expression patterns were examined by microarray analysis. We identified 20 genes that are associated with a >2-fold increase in expression in response to the demethylating treatment but returned to control levels after treatment withdrawal. RT-PCR verified that the genes identified were expressed at low or undetectable levels in control MCF-7 cells, but increased expression in treated cells. Most of these putative epigentically-regulated genes in MCF-7 cells do not contain CpG islands. In fact, these genes could be classified based upon their promoter CpG features, including genes with: (i) typical CpG features (CpG islands), (ii) intermediate CpG features (weak CpG islands), and (iii) atypical CpG features (no CpG islands). Prototype genes from each class (including CpG-deficient genes) were shown to be methylation-sensitive (subject to CpG methylation and responsive to demethylating agents), suggesting that not all gene targets of DNA methylation in breast cancer will contain a CpG island. Based upon the results of the current study and observations from the literature, we propose expansion of the current model for methylation-dependent regulation of gene expression to include genes lacking typical CpG islands. The expanded model we propose recognizes that all promoter CpG dinucleotides represent legitimate targets for DNA methylation and that the methylation of specific CpG dinucleotides in critical domains of regulatory regions can result in gene silencing.      

Effect of CpG Island Methylation on MicroRNA Expression in the k-562 Cell Line

To test the hypothesis that methylation of a CpG island is associated with regulation of microRNA expression, we investigated CpG islands in the upstream sequences of microRNA precursors (pre-miRNAs) through bioinformatic analysis and determined whether the CpG islands were methylated by methylation-specific PCR in the k-562 cell line. We used 5-azacytidine for DNA demethylation, and changes in microRNA expression were detected by microarray assay, RT-PCR, and real-time PCR after 5-azacytidine induction. We showed that the CpG islands in the upstream regions of 18 pre-miRNAs were methylated, including miR-663, miR-369, miR-615, and miR-410, and promoter activity was detected in the upstream region of pre-miR-663. We found that a decrease in methylation of a CpG island could up-regulate the expression of miR-663, suggesting that miR-663 could be regulated by DNA methylation. Expression levels of miR-369, miR-615, and miR-410 were not regulated by DNA methylation in this cell line.