DNA methylation profiling of human chromosomes 6, 20 and 22.

DNA methylation is the most stable type of epigenetic modification modulating the transcriptional plasticity of mammalian genomes. Using bisulfite DNA sequencing, we report high-resolution methylation profiles of human chromosomes 6, 20 and 22, providing a resource of about 1.9 million CpG methylation values derived from 12 different tissues. Analysis of six annotation categories showed that evolutionarily conserved regions are the predominant sites for differential DNA methylation and that a core region surrounding the transcriptional start site is an informative surrogate for promoter methylation. We find that 17% of the 873 analyzed genes are differentially methylated in their 5' UTRs and that about one-third of the differentially methylated 5' UTRs are inversely correlated with transcription. Despite the fact that our study controlled for factors reported to affect DNA methylation such as sex and age, we did not find any significant attributable effects. Our data suggest DNA methylation to be ontogenetically more stable than previously thought.

Loss of methylation at the IFNG promoter and CNS-1 is associated with the development of functional IFN-γ memory in human CD4(+) T lymphocytes.

Cytokine memory for IFN-γ production by effector/memory Th1 cells plays a key role in both protective and pathological immune responses. To understand the epigenetic mechanism determining the ontogeny of effector/memory Th1 cells characterized by stable effector functions, we identified a T-cell-specific methylation pattern at the IFNG promoter and CNS-1 in ex vivo effector/memory Th1 cells, and investigated methylation dynamics of these regions during the development of effector/memory Th1 cells. During Th1 differentiation, demethylation occurred at both the promoter and CNS-1 regions of IFNG as early as 16 h, and this process was independent of cell proliferation and DNA synthesis. Using an IFN-γ capture assay, we found early IFN-γ-producing cells from 2-day differentiating cultures acquired "permissive" levels of demethylation and developed into effector/memory Th1 cells undergoing progressive demethylation at the IFNG promoter and CNS-1 when induced by IL-12. Methylation levels of these regions in effector/memory Th1 cells of peripheral blood from rheumatoid arthritis patients correlated inversely with reduced frequencies of IFN-γ-producers, coincident with recruitment of effector/memory Th1 cells to the site of inflammation. Thus, after termination of TCR stimulation, IL-12 signaling potentiates the stable functional IFN-γ memory in effector/memory Th1 cells characterized by hypomethylation at the IFNG promoter and CNS-1.

DNA methylation profiling of pseudogene-parental gene pairs and two gene families.

A substantial proportion of human genes contain tissue-specifically DNA-methylated regions (TDMRs). However, little is known about the evolutionary conservation of differentially methylated loci, how they evolve, and the signals that regulate them. We have studied TDMR conservation in the PLG and TBX gene families and in 32 pseudogene-parental gene pairs. Among the members of the recently evolved PLG gene family, 5'-UTR methylation is conserved and inversely correlated with the cognate gene expression, indicating as well a conserved regulatory role of DNA methylation. Conversely, many genes of the much older TBX family display complementary tissue-specific methylation, suggesting an epigenetic complementation in the evolution of this gene family. Similar to gene families, unprocessed pseudogenes arose from gene duplications and we found TDMR conservation in some pseudogene-parental gene pairs displaying short evolutionary distances. However, for the majority of unprocessed pseudogenes and for all processed pseudogenes examined, we found that tissue-specific methylation arose de novo after gene duplication.

Correlative gene expression and DNA methylation profiling in lung development nominate new biomarkers in lung cancer.

Although transcriptional control is key for proper lung development, little is known about the possible accompanying epigenetic modifications. Here, we have used gene expression profiling to identify 99 genes that are upregulated in fetal lung and 354 genes that are upregulated in adult lung. From the differentially expressed genes, we analyzed the accompanying 5'-UTR methylation profiles of 43 genes. Out of these, nine genes (COL11A1, MEOX2, SERPINE2, SOX9, FBN2, MDK, COL1A1, LAPTM5 and MARCO) displayed an inverse correlation of their 5'-UTR methylation and the cognate gene expression, suggesting that these genes are at least partially regulated by DNA methylation. Using the differential gene expression/DNA methylation profiles as a guidepost, we identified four genes (MEOX2, MDK, LAPTM5, FGFR3) aberrantly methylated in lung cancer. MEOX2 was uniformly higher methylated in all lung cancer samples (n=15), while the methylation of the other three genes was correlated with either the differentiation state of the tumor (MDK, LAPTM5) or the tumor type itself (FGFR3).

Comparative DNA methylation analysis in normal and tumour tissues and in cancer cell lines using differential methylation hybridisation.

Immortalized human cancer cell lines are widely used as tools and model systems in cancer research but their authenticity with regard to primary tissues remains a matter of debate. We have used differential methylation hybridisation to obtain comparative methylation profiles from normal and tumour tissues of lung and colon, and permanent cancer cell lines originally derived from these tissues. Average methylation differences only larger than 25% between sample groups were considered for the profiles and with this criterion approximately 1000 probesets, around 2% of the sites represented on the array, indicated differential methylation between normal lung and primary lung cancer tissue, and approximately 700 probesets between normal colon and primary colon cancer tissue. Both hyper- and hypomethylation was found to differentiate normal tissue from cancer tissue. The profiles obtained from these tissue comparisons were found to correspond largely to those from the corresponding cancer cell lines, indicating that the cell lines represent the methylation pattern of the primary tissue rather well. Moreover, the cancer specific profiles were found to be very similar for the two tumour types studied. Tissue specific differential methylation between lung and colon tissues, in contrast, was found to be preserved to a larger extent only in the malignant tissue, but was not preserved well in the cancer cell lines studied. Overall, our data therefore provide further evidence that permanent cell lines are good model systems for cancer specific methylation patterns, but deviate with regard to tissue-specific methylation.

DNA methylation profiling of transcription factor genes in normal lymphocyte development and lymphomas.

Transcription factors play a crucial role during hematopoiesis by orchestrating lineage commitment and determining cellular fate. Although tight regulation of transcription factor expression appears to be essential, little is known about the epigenetic mechanisms involved in transcription factor gene regulation. We have analyzed DNA methylation profiles of 13 key transcription factor genes in primary cells of the hematopoietic cascade, lymphoma cell lines and lymph node biopsies of diffuse large B-cell- and T-cell-non-Hodgkin lymphoma patients. Several of the transcription factor genes (SPI1, GATA3, TCF-7, Etv5, c-maf and TBX21) are differentially methylated in specific cell lineages and stages of the hematopoietic cascade. For some genes, such as SPI1, Etv5 and Eomes, we found an inverse correlation between the methylation of the 5' untranslated region and expression of the associated gene suggesting that these genes are regulated by DNA methylation. Differential methylation is not limited to cells of the healthy hematopoietic cascade, as we observed aberrant methylation of c-maf, TCF7, Eomes and SPI1 in diffuse large B-cell lymphomas. Our results suggest that epigenetic remodelling of transcription factor genes is a frequent mechanism during hematopoietic development. Aberrant methylation of transcription factor genes is frequently observed in diffuse large B-cell lymphomas and might have a functional role during tumorigenesis.

DNA methylation markers: a versatile diagnostic tool for routine clinical use.

In recent years, several new options have been introduced for the treatment of various neoplasias. Biomarkers are urgently needed to improve diagnosis and treatment selection. DNA metlhylation biomarkers unite these desirable characteristics because they relate to key aspects of tumor biology and can be measured reliably on routinely available patient specimens. Recent improvements in DNA methylation marker discovery and efforts to transfer these into routine clinical use are summarized in this review.

Future potential of the Human Epigenome Project.

Deciphering the information encoded in the human genome is key for the further understanding of human biology, physiology and evolution. With the draft sequence of the human genome completed, elucidation of the epigenetic information layer of the human genome becomes accessible. Epigenetic mechanisms are mediated by either chemical modifications of the DNA itself or by modifications of proteins that are closely associated with DNA. Defects of the epigenetic regulation involved in processes such as imprinting, X chromosome inactivation, transcriptional control of genes, as well as mutations affecting DNA methylation enzymes, contribute fundamentally to the etiology of many human diseases. Headed by the Human Epigenome Consortium, the Human Epigenome Project is a joint effort by an international collaboration that aims to identify, catalog and interpret genome-wide DNA methylation patterns of all human genes in all major tissues. Methylation variable positions are thought to reflect gene activity, tissue type and disease state, and are useful epigenetic markers revealing the dynamic state of the genome. Like single nucleotide polymorphisms, methylation variable positions will greatly advance our ability to elucidate and diagnose the molecular basis of human diseases.

Genome-wide screen for differential DNA methylation associated with neural cell differentiation in mouse.

Cellular differentiation involves widespread epigenetic reprogramming, including modulation of DNA methylation patterns. Using Differential Methylation Hybridization (DMH) in combination with a custom DMH array containing 51,243 features covering more than 16,000 murine genes, we carried out a genome-wide screen for cell- and tissue-specific differentially methylated regions (tDMRs) in undifferentiated embryonic stem cells (ESCs), in in-vitro induced neural stem cells (NSCs) and 8 differentiated embryonic and adult tissues. Unsupervised clustering of the generated data showed distinct cell- and tissue-specific DNA methylation profiles, revealing 202 significant tDMRs (p<0.005) between ESCs and NSCs and a further 380 tDMRs (p<0.05) between NSCs/ESCs and embryonic brain tissue. We validated these tDMRs using direct bisulfite sequencing (DBS) and methylated DNA immunoprecipitation on chip (MeDIP-chip). Gene ontology (GO) analysis of the genes associated with these tDMRs showed significant (absolute Z score>1.96) enrichment for genes involved in neural differentiation, including, for example, Jag1 and Tcf4. Our results provide robust evidence for the relevance of DNA methylation in early neural development and identify novel marker candidates for neural cell differentiation.

Gene body methylation of the dimethylarginine dimethylamino-hydrolase 2 (Ddah2) gene is an epigenetic biomarker for neural stem cell differentiation.

DNA methylation is an important epigenetic mark that is involved in the regulation of many cellular processes such as gene expression, genomic imprinting and silencing of repetitive elements. Because of their ability to cause and capture phenotypic plasticity, epigenetic marks such as DNA methylation represent potential biomarkers to distinguish between different types of tissues and stages of differentiation. Here, we have identified differential DNA methylation in the gene body of the nitric oxide inhibitor Ddah2 that discriminates embryonic stem cells from neural stem cells and is positively correlated with differential gene expression.

The retinol acid receptor B gene is hypermethylated in patients with familial partial lipodystrophy.

Mutations in the LMNA gene cause various phenotypes including partial lipodystrophy, muscular dystrophies, and progeroid syndromes. The specific mutation position within the LMNA sequence can partially predict the phenotype, but the underlying mechanisms for the development of these different phenotypes are still unclear. To investigate whether different DNA methylation patterns contribute to the development of different phenotypes caused by LMNA mutations, we analyzed a panel of ten candidate genes related to fat metabolism, aging, and a tendency to different methylation patterns: CSPG2, ESR1, IGF1R, IGFR2, LMNA, MLH1, RANBP1, RARB, ZMPSTE24, and TGFBR1. We studied two independent families each comprising three individuals affected by familial partial lipodistrophy type 2 (FPLD2). Affected members in each family carried two different mutations of the LMNA gene (R482L and R471G respectively). In addition, we analyzed four progeria patients (2xLMNA/C G608G, 1xLMNA/C S143F, and 1xZMPSTE24 IVS9-Ex10) and seven healthy adults. The gene encoding retinoic acid receptor B (RARB) showed a higher methylation in all six patients with FPLD2 when compared with the progeria patients with other LMNA mutations as well as the healthy controls (P<0.05). All other investigated genes showed no difference in the methylation patterns between the groups. A drug-induced inhibition of the retinol pathway is discussed as the key pathway for developing HAART-associated lipodystrophy and our data support a possible role of the retinol pathway in the development of lipodystrophy phenotypes.

IL-10 is excluded from the functional cytokine memory of human CD4+ memory T lymphocytes.

Epigenetic modifications, including DNA methylation, profoundly influence gene expression of CD4(+) Th-specific cells thereby shaping memory Th cell function. We demonstrate here a correlation between a lacking fixed potential of human memory Th cells to re-express the immunoregulatory cytokine gene IL10 and its DNA methylation status. Memory Th cells secreting IL-10 or IFN-gamma were directly isolated ex vivo from peripheral blood of healthy volunteers, and the DNA methylation status of IL10 and IFNG was assessed. Limited difference in methylation was found for the IL10 gene locus in IL-10-secreting Th cells, as compared with Th cells not secreting IL-10 isolated directly ex vivo or from in vitro-established human Th1 and Th2 clones. In contrast, in IFN-gamma(+) memory Th cells the promoter of the IFNG gene was hypomethylated, as compared with IFN-gamma-nonsecreting memory Th cells. In accordance with the lack of epigenetic memory, almost 90% of ex vivo-isolated IL-10-secreting Th cells lacked a functional memory for IL-10 re-expression after restimulation. Our data indicate that IL10 does not become epigenetically marked in human memory Th cells unlike effector cytokine genes such as IFNG. The exclusion of IL-10, but not effector cytokines, from the functional memory of human CD4(+) T lymphocytes ex vivo may reflect the need for appropriate regulation of IL-10 secretion, due to its potent immunoregulatory potential.

DNA methylation analysis as a tool for cell typing.

Cell therapeutic approaches currently lack definitive quality control measures which guarantee safety in clinical applications and create consistent standards for regulatory approval. These approaches rely on isolation, purification and possibly ex vivo manipulation of donor cells. Since such cells are exposed to artificial environments, there is potential for deviations from natural growth processes. The resulting heterogeneity of cell cultures is an inherent problem. Therefore, verification of cell identity and quantification of subpopulations is mandatory. Focusing on cultured human primary cells, we tested whether DNA methylation patterns serve as distinctive cell type markers. We identified panels of cell type specific differentially methylated gene regions (CDMs) which produce unambiguous profiles for these cell types. Applying methylation sensitive single nucleotide primer extension generated binary cell type descriptors ("barcodes") which allow quantification of cell mixtures. Thus, methylation based analytics suggest themselves as promising tools for the characterization and quality control of ex vivo manipulated cells.

DNA methylation markers - an opportunity to further individualize therapy in breast cancer?

Over the last few decades, a wealth of treatment options have become available for breast cancer. To specifically direct those therapies to patients with the highest need who will receive the greatest benefit, biomarkers are urgently needed. Two specific needs seem to be most pressing: first is the need for prognostic markers, which would determine which group of patients may recover without adjuvant chemotherapy. Second, predictive markers for specific treatments, such as different endocrine treatments, chemotherapies or targeted drugs, are expected to play a major role in the near future. Ideally, such markers should be strong single markers, or low-complexity marker panels containing only a few markers, to allow for easier assay development and improved reproducibility. The possibility to measure the marker(s) in formalin-fixed specimens would greatly facilitate integration into routine clinical practice. A common and early event in breast cancer is aberrant DNA methylation within gene regulatory regions, affecting a variety of genes with different functions. Data from recently published studies indicate that altered DNA methylation carries prognostic as well as predictive information in breast cancer. Together with the technical advantages of a DNA-based marker, DNA methylation may well constitute the ideal biomarker to further individualize breast cancer treatment. Here the recent literature is reviewed and the most interesting markers, which have the potential to significantly change breast cancer treatment and, therefore, warrant further systematic clinical validation, are highlighted.