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.      

Bisulphite Differential Denaturation PCR for Analysis of DNA Methylation

Differential denaturation during PCR can be used to selectively amplify unmethylated DNA from a methylated DNA background. The use of differential denaturation in PCR is particularly suited to amplification of undermethylated sequences following treatment with bisulphite, since bisulphite selectively converts cytosines to uracil while methylated cytosines remain unreactive. Thus amplicons derived from unmethylated DNA retain less cytosines and their lower G + C content allows for their amplification at the lower melting temperatures, while limiting amplification of the corresponding methylated amplicons (Bisulphite Differential Denaturation PCR, BDD-PCR). Selective amplification of unmethylated DNA of four human genomic regions from three genes, GSTP1, BRCA1 and MAGE-A1, is demonstrated with selectivity observed at a ratio of down to one unmethylated molecule in 105 methylated molecules. BDD-PCR has the potential to be used to selectively amplify and detect aberrantly demethylated genes, such as oncogenes, in cancers. Additionally BDD-PCR can be effectively utilised in improving the specificity of methylation specific PCR (MSP) by limiting amplification of DNA that is not fully converted, thus preventing misinterpretation of the methylation versus non-conversion.      

The MethDB DAS Server: Adding an Epigenetic Information Layer to the Human Genome

The DNA methylation database MethDB (http://www.methdb.net) was developed in order to standardize and collect the dispersed data about this epigenetic phenomenon in a common resource. In the first version of MethDB, data was gathered by annotators and the database could only be queried. In a second step, we added an on-line data submission system that is open to the public. Here we present the DAS annotation server of MethDB that allows integration of MethDB into the network of biological databases via the Distributed Annotation System (DAS) and the representation of DNA methylation data as an epigenetic information layer to the human genome. In order to validate our system and to incorporate the data of the first large scale methylation analysis of the human genome, we assembled the 31312 sequences of the human CpG island tagging project into 13786 CpG islands and imported them into MethDB. The database contains now 19905 methylation content data and 5382 methylation patterns or profiles for 48 species, 1511 individuals, 198 tissues and cell lines, and 79 phenotypes.      

Detection of RASSF1A and RAR? Hypermethylation in Serum DNA from Breast Cancer Patients

Breast cancer is fast emerging as the leading cancer amongst females, especially in young females in metropolitan cities in India. The epigenetic alterations involved in the onset and progression of breast cancer may serve as biomarkers for early detection and prognosis of the disease. Furthermore, using body fluids such as serum offers a non-invasive method to procure multiple samples for such analyses. In this study, we examined methylation status of two normally unmethylated but biologically significant cancer genes, RAS association domain family protein 1A (RASSF1A) and Retionic acid receptor ? (RAR?) by Methylation Specific PCR (MSP) in invasive ductal carcinomas of the breast and paired serum DNA. RASSF1A was found to be methylated in 17 of 20 (85%) breast tumors; while sera from 15 of 20 (75%) of the patients showed concordant methylated RASSF1A, with a sensitivity of 88%. RAR? was methylated in 2/20 (10%) breast tumors. A gene unmethylated in the tumor DNA was always found to be unmethylated in the matched serum DNA for both RASSF1A and RAR? genes; hence specificity was 100%. Immunohistochemical analysis of RAR? protein in 15 breast carcinoma patients harboring unmethylated RAR? in tumors and serum DNA showed the expression of RAR? protein in tumors and paired normal breast tissues, confirming the MSP findings, suggesting that RAR? promoter is functional in these cases. This study underscores the potential utility of DNA methylation based screening of serum, a readily accessible body fluid, as a surrogate marker for early detection of breast cancer.      

Using LUMA: a Luminometric-Based Assay for Global DNA-Methylation

Changes in genomic DNA methylation are important events in normal and pathological cellular processes, contributing both to normal development and differentiation as well as to cancer and other diseases. We describe here a method to analyze global genomic DNA methylation, using a luminometric technology to quantitate methylation sensitive restriction digestions. The method is called LUminometric Methylation Assay (LUMA), and is based on a polymerase extension assay using the the Pyrosequencing? platform. The method is quantitative, highly reproducible and uses an internal control for DNA input. No modification of genomic DNA is needed and the total running time is only six hours. The method is suitable for analyzing clinical material, as well as determining dynamic changes in global methylation/demethylation events. This report describes the method in detail and gives an example of its application in epigenetic research.      

DNA Hypermethylation and Partial Gene Silencing of Human Thymine-DNA Glycosylase in Multiple Myeloma Cell Lines

Multiple myeloma (MM) has prominent features of karyotypic instability at the earliest stage, leading to extreme genetic abnormalities as the disease progresses. These successive genetic alterations can be attributed, in part, to defects in DNA repair pathways. A possible mechanism of dysregulation of the DNA repair pathway is epigenetic gene silencing. Therefore, we sought to determine the methylation status of enzymes involved in the base excision repair pathway in multiple myeloma cell lines. Here, we report the aberrant DNA methylation of TDG, one of the enzymes involved in base excision repair of damaged DNA, in several multiple myeloma cell lines but not in normal human plasma cells. DNA hypermethylation of TDG in the MM cell lines leads to lower gene expression levels that results in less efficient DNA repair activity in response to hydrogen peroxide-induced DNA damage. Expression of exogenous TDG can functionally compensate for lower repair activities of damaged DNA in the KAS-6/1 myeloma cell line, which has extensive DNA hypermethylation of the TDG promoter. Hypermethylation of DNA damage repair genes in MM cell lines may provide an explanation for the frequent genomic instability, as well as point mutations, that are encountered in MM.     

Profiles of DNA methylation in normal and cancer cells

In eukaryotes, the epigenetic mark DNA methylation is found exclusively at cytosine residues in the CpG islands of genes, transposons and intergenic DNA. Among functional roles, DNA methylation is essential for mammalian embryonic development, and is classically thought to function by stably silencing promoter activity. However, until recently, understanding of the distribution of cytosine methylation in the whole genome - and hence, identification of its targets - was very limited. High-throughput methodologies, including methylated DNA immunoprecipitation, have recently revealed genome-wide mapping of DNA methylation, and provided new and unexpected data. Clearly DNA methylation is selectively associated with some key promoters- and is not a prerequisite for promoter inactivation, since strong CpG island promoters are mostly unmethylated, even when inactive. Most germline-specific genes are methylated and permanently silenced in somatic cells, suggesting a role of this mark in maintaining somatic cellular identity. These large scale studies will also help understanding the deregulation of DNA methylation associated with cancer, among which unmethylation of germinal cells genes, and recent observtion of large hypomethylated regions in tumoral specimens. The next challenge will be to understand if these methylation changes occur randomly, or more likely are specified by oncogenes or linked to environmental pressure.     

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.     

Long-Range Allosteric Interactions between the Folate and Methionine Cycles Stabilize DNA Methylation Reaction Rate

Several metabolites in the folate and methionine cycles influence the activities of distant enzymes involved in one-carbon metabolism. Many hypotheses have been advanced about the functional impact of these long-range interactions. Using both steady-state and fluctuation analyses of a mathematical model of methionine metabolism, we investigate the biochemical basis for several of these hypotheses. We show that the long-range interactions provide remarkable stabilization of the DNA methylation rate in the face of large fluctuations in methionine input. In particular, they enable the system to maintain methylation in the face of low and extremely low protein input. These interactions may therefore have evolved primarily to stabilize DNA methylation under conditions of methionine starvation. In silico experimentation allows us to evaluate the independent effects of various combinations of the long-range interactions, and thereby propose a plausible evolutionary scenario.