Tibor A. Rauch

A human B cell methylome at 100−base pair resolution

Using a methylated-DNA enrichment technique (methylated CpG island recovery assay, MIRA) in combination with whole-genome tiling arrays, we have characterized by MIRA-chip the entire B cell “methylome” of an individual human at 100-bp resolution. We find that at the chromosome level high CpG methylation density is correlated with subtelomeric regions and Giemsa-light bands (R bands). The majority of the most highly methylated regions that could be identified on the tiling arrays were associated with genes. Approximately 10% of all promoters in B cells were found to be methylated, and this methylation correlates with low gene expression. Notably, apparent exceptions to this correlation were the result of transcription from previously unidentified, unmethylated transcription start sites, suggesting that methylation may control alternate promoter usage. Methylation of intragenic (gene body) sequences was found to correlate with increased, not decreased, transcription, and a methylated region near the 3′ end was found in approximately 12% of all genes. The majority of broad regions (10–44 kb) of high methylation were at segmental duplications. Our data provide a valuable resource for the analysis of CpG methylation patterns in a differentiated human cell type and provide new clues regarding the function of mammalian DNA methylation.

MIRA-Assisted Microarray Analysis, a New Technology for the Determination of DNA Methylation Patterns, Identifies Frequent Methylation of Homeodomain-Containing Genes in Lung Cancer Cells

We present a straightforward and comprehensive approach for DNA methylation analysis in mammalian genomes. The methylated-CpG island recovery assay (MIRA), which is based on the high affinity of the MBD2/MBD3L1 complex for methylated DNA, has been used to detect cell type-dependent differences in DNA methylation on a microarray platform. The procedure has been verified and applied to identify a series of novel candidate lung tumor suppressor genes and potential DNA methylation markers that contain methylated CpG islands. One gene of particular interest was DLEC1, located at a commonly deleted area on chromosome 3p22-p21.3, which was frequently methylated in primary lung cancers and melanomas. Among the identified methylated genes, homeodomain-containing genes were unusually frequent (11 of the top 50 hits) and were targeted on different chromosomes. These genes included LHX2, LHX4, PAX7, HOXB13, LBX1, SIX2, HOXD3, DLX1, HOXD1, ONECUT2, and PAX9. The data show that MIRA-assisted microarray analysis has a low false-positive rate and has the capacity to catalogue methylated CpG islands on a genome-wide basis. The results support the hypothesis that cancer-associated DNA methylation events do not occur randomly throughout the genome but at least some are targeted by specific mechanisms.

High-resolution mapping of DNA hypermethylation and hypomethylation in lung cancer

Changes in DNA methylation patterns are an important characteristic of human cancer. Tumors have reduced levels of genomic DNA methylation and contain hypermethylated CpG islands, but the full extent and sequence context of DNA hypomethylation and hypermethylation is unknown. Here, we used methylated CpG island recovery assay-assisted high-resolution genomic tiling and CpG island arrays to analyze methylation patterns in lung squamous cell carcinomas and matched normal lung tissue. Normal tissues from different individuals showed overall very similar DNA methylation patterns. Each tumor contained several hundred hypermethylated CpG islands. We identified and confirmed 11 CpG islands that were methylated in 80–100% of the SCC tumors, and many hold promise as effective biomarkers for early detection of lung cancer. In addition, we find that extensive DNA hypomethylation in tumors occurs specifically at repetitive sequences, including short and long interspersed nuclear elements and LTR elements, segmental duplications, and subtelomeric regions, but single-copy sequences rarely become demethylated. The results are consistent with a specific defect in methylation of repetitive DNA sequences in human cancer.

Global methylation profiling of lymphoblastoid cell lines reveals epigenetic contributions to autism spectrum disorders and a novel autism candidate gene, RORA, whose protein product is reduced in autistic brain

Autism is currently considered a multigene disorder with epigenetic influences. To investigate the contribution of DNA methylation to autism spectrum disorders, we have recently completed large-scale methylation profiling by CpG island microarray analysis of lymphoblastoid cell lines derived from monozygotic twins discordant for diagnosis of autism and their nonautistic siblings. Methylation profiling revealed many candidate genes differentially methylated between discordant MZ twins as well as between both twins and nonautistic siblings. Bioinformatics analysis of the differentially methylated genes demonstrated enrichment for high-level functions including gene transcription, nervous system development, cell death/survival, and other biological processes implicated in autism. The methylation status of 2 of these candidate genes, BCL-2 and retinoic acid-related orphan receptor alpha (RORA), was further confirmed by bisulfite sequencing and methylation-specific PCR, respectively. Immunohistochemical analyses of tissue arrays containing slices of the cerebellum and frontal cortex of autistic and age- and sex-matched control subjects revealed decreased expression of RORA and BCL-2 proteins in the autistic brain. Our data thus confirm the role of epigenetic regulation of gene expression via differential DNA methylation in idiopathic autism, and furthermore link molecular changes in a peripheral cell model with brain pathobiology in autism.

Homeobox gene methylation in lung cancer studied by genome-wide analysis with a microarray-based methylated CpG island recovery assay.

De novo methylation of CpG islands is a common phenomenon in human cancer, but the mechanisms of cancer-associated DNA methylation are not known. We have used tiling arrays in combination with the methylated CpG island recovery assay to investigate methylation of CpG islands genome-wide and at high resolution. We find that all four HOX gene clusters on chromosomes 2, 7, 12, and 17 are preferential targets for DNA methylation in cancer cell lines and in early-stage lung cancer. CpG islands associated with many other homeobox genes, such as SIX, LHX, PAX, DLX, and Engrailed, were highly methylated as well. Altogether, more than half (104 of 192) of all CpG island-associated homeobox genes in the lung cancer cell line A549 were methylated. Analysis of paralogous HOX genes showed that not all paralogues undergo cancer-associated methylation simultaneously. The HOXA cluster was analyzed in greater detail. Comparison with ENCODE-derived data shows that lack of methylation at CpG-rich sequences correlates with presence of the active chromatin mark, histone H3 lysine-4 methylation in the HOXA region. Methylation analysis of HOXA genes in primary squamous cell carcinomas of the lung led to the identification of the HOXA7- and HOXA9-associated CpG islands as frequent methylation targets in stage 1 tumors. Homeobox genes are potentially useful as DNA methylation markers for early diagnosis of the disease. The finding of widespread methylation of homeobox genes lends support to the hypothesis that a substantial fraction of genes methylated in human cancer are targets of the Polycomb complex.

The histone methyltransferase SETDB1 and the DNA methyltransferase DNMT3A interact directly and localize to promoters silenced in cancer cells

DNA CpG methylation can cooperate with histone H3 lysine 9 (H3-K9) methylation in heterochromatin formation and gene silencing. Trimethylation of H3-K9 by the recently identified euchromatic histone methyltransferase SETDB1/ESET may be responsible for transcriptional repression of certain promoters. Here, we show that SETDB1 associates with endogenous DNA methyltransferase activity. SETDB1 interacts with the de novo DNA methyltransferases DNMT3A and DNMT3B but not with the maintenance methyltransferase DNMT1. The interaction of SETDB1 with DNMT3A was further characterized and confirmed by in vivo and in vitro interaction studies. A direct interaction of the two proteins occurs through the N terminus of SETDB1 and the plant homeodomain of DNMT3A. Co-expression of SETDB1 and DNMT3A was essential for repression of reporter gene expression in a Gal4-based tethering assay and resulted in their recruitment to the artificial promoter. We further demonstrate that the CpG-methylated promoters of the endogenous p53BP2 gene in HeLa cells and the RASSF1A gene in MDA-MB-231 cells are simultaneously occupied by both SETDB1 and DNMT3A proteins, which provides evidence for SETDB1 being at least partly responsible for H3-K9 trimethylation at the promoter of RASSF1A, a gene frequently silenced in human cancers. In summary, our data demonstrate the direct physical interaction and functional connection between the H3-K9 trimethylase SETDB1 and the DNA methyltransferase DNMT3A and thus contribute to a better understanding of the complexity of the self-reinforcing heterochromatin machinery operating at silenced promoters.

Methylated-CpG island recovery assay: a new technique for the rapid detection of methylated-CpG islands in cancer

Hypermethylation of CpG islands is a phenomenon commonly observed during the development and progression of human tumors. Detection of methylated-CpG islands in easily accessible biological materials such as serum has the potential to be useful for the early diagnosis of cancer. Most currently used methods for detecting methylated-CpG islands are based on sodium bisulfite conversion of genomic DNA, followed by PCR reactions. Here we describe a method, methylated-CpG island recovery assay (MIRA) that does not depend on the use of sodium bisulfite but has similar sensitivity and specificity as bisulfite-based approaches. Methyl-CpG-binding domain proteins, such as methyl-CpG-binding domain protein-2 (MBD2), have the capacity to bind specifically to methylated DNA sequences. In the MIRA procedure, sonicated genomic DNA isolated from cells or tissue is incubated with a matrix containing glutathione-S-transferase-MBD2b in the presence of methyl-CpG-binding domain protein 3-like-1, a binding partner of MBD2 that increases the affinity of MBD2 for methylated DNA. Specifically bound DNA is eluted from the matrix and gene-specific PCR reactions are performed to detect CpG island methylation. Methylation can be detected using 1 ng of DNA or 3000 cells. MIRA is a specific and sensitive, but not laborious, technique that can be clinically useful in the detection and diagnosis of any DNA methylation-associated disease, including cancer.

Insulin gene expression is regulated by DNA methylation.

Background Insulin is a critical component of metabolic control, and as such, insulin gene expression has been the focus of extensive study. DNA sequences that regulate transcription of the insulin gene and the majority of regulatory factors have already been identified. However, only recently have other components of insulin gene expression been investigated, and in this study we examine the role of DNA methylation in the regulation of mouse and human insulin gene expression. Methodology/Principal Findings Genomic DNA samples from several tissues were bisulfite-treated and sequenced which revealed that cytosine-guanosine dinucleotide (CpG) sites in both the mouse Ins2 and human INS promoters are uniquely demethylated in insulin-producing pancreatic beta cells. Methylation of these CpG sites suppressed insulin promoter-driven reporter gene activity by almost 90% and specific methylation of the CpG site in the cAMP responsive element (CRE) in the promoter alone suppressed insulin promoter activity by 50%. Methylation did not directly inhibit factor binding to the CRE in vitro, but inhibited ATF2 and CREB binding in vivo and conversely increased the binding of methyl CpG binding protein 2 (MeCP2). Examination of the Ins2 gene in mouse embryonic stem cell cultures revealed that it is fully methylated and becomes demethylated as the cells differentiate into insulin-expressing cells in vitro. Conclusions/Significance Our findings suggest that insulin promoter CpG demethylation may play a crucial role in beta cell maturation and tissue-specific insulin gene expression.

CpG Island Hypermethylation in Human Astrocytomas

Astrocytomas are common and lethal human brain tumors. We have analyzed the methylation status of over 28,000 CpG islands and 18,000 promoters in normal human brain and in astrocytomas of various grades using the methylated CpG island recovery assay. We identified 6,000 to 7,000 methylated CpG islands in normal human brain. Approximately 5% of the promoter-associated CpG islands in the normal brain are methylated. Promoter CpG island methylation is inversely correlated whereas intragenic methylation is directly correlated with gene expression levels in brain tissue. In astrocytomas, several hundred CpG islands undergo specific hypermethylation relative to normal brain with 428 methylation peaks common to more than 25% of the tumors. Genes involved in brain development and neuronal differentiation, such as BMP4, POU4F3, GDNF, OTX2, NEFM, CNTN4, OTP, SIM1, FYN, EN1, CHAT, GSX2, NKX6-1, PAX6, RAX, and DLX2, were strongly enriched among genes frequently methylated in tumors. There was an overrepresentation of homeobox genes and 31% of the most commonly methylated genes represent targets of the Polycomb complex. We identified several chromosomal loci in which many (sometimes more than 20) consecutive CpG islands were hypermethylated in tumors. Seven such loci were near homeobox genes, including the HOXC and HOXD clusters, and the BARHL2, DLX1, and PITX2 genes. Two other clusters of hypermethylated islands were at sequences of recent gene duplication events. Our analysis offers mechanistic insights into brain neoplasia suggesting that methylation of the genes involved in neuronal differentiation, in cooperation with other oncogenic events, may shift the balance from regulated differentiation towards gliomagenesis.

DNA methylation biomarkers for lung cancer

Changes in DNA methylation patterns are an important characteristic of human cancer including lung cancer. In particular, hypermethylation of CpG islands is a signature of malignant progression. Methylated CpG islands are promising diagnostic markers for the early detection of cancer. However, the full extent and sequence context of DNA hypermethylation in lung cancer has remained unknown. We have used the methylated CpG island recovery assay and high-resolution microarray analysis to find hypermethylated CpG islands in squamous cell carcinomas (SCC) and adenocarcinomas of the lung. Each tumor contained several hundred hypermethylated CpG islands. In an initial microarray screen, 36 CpG islands were methylated in five of five (=100%) of the SCC tumors tested and 52 CpG islands were methylated in at least 75% of the adenocarcinomas tested (n = 8). Using sodium-bisulfite-based approaches, 12 CpG islands (associated with the BARHL2, EVX2, IRX2, MEIS1, MSX1, NR2E1, OC2, OSR1, OTX1, PAX6, TFAP2A, and ZNF577 genes) were confirmed to be methylated in 85% to 100% of the squamous cell carcinomas and 11 CpG islands (associated with the CHAD, DLX4, GRIK2, KCNG3, NR2E1, OSR1, OTX1, OTX2, PROX1, RUNX1, and VAX1 genes) were methylated in >80% of the adenocarcinomas. From the list of genes that were methylated in lung adenocarcinomas, we identified the gene FAT4 and found that this gene was methylated in 39% of the tumors. FAT4 is the closest mammalian homologue of the Drosophila tumor suppressor Fat which is an important component of the Hippo growth control pathway. Many of these newly discovered methylated CpG islands hold promise for becoming biomarkers for the early detection of lung cancer.