Function Of DNA Methylation Research Articles

Integrated analysis of genome-wide DNA methylation and gene expression profiles identifies potential novel biomarkers of rectal cancer.

DNA methylation was regarded as the promising biomarker for rectal cancer diagnosis. However, the optimal methylation biomarkers with ideal diagnostic performance for rectal cancer are still limited. To identify new molecular markers for rectal cancer, we mapped DNA methylation and transcriptomic profiles in the six rectal cancer and paired normal samples. Further analysis revealed the hypermethylated probes in cancer prone to be located in gene promoter. Meanwhile, transcriptome analysis presented 773 low-expressed and 1,161 over-expressed genes in rectal cancer. Correction analysis identified a panel of 36 genes with an inverse correlation between methylation and gene expression levels, including 10 known colorectal cancer related genes. From the other 26 novel marker genes, GFRA1 and GSTM2 were selected for further analysis on the basis of their biological functions. Further experiment analysis confirmed their methylation and expression status in a larger number (44) of rectal cancer samples, and ROC curves showed higher AUC than SEPT9, which has been used as a biomarker in rectal cancer. Our data suggests that aberrant DNA methylation of contiguous CpG sites in methylation array may be potential diagnostic markers of rectal cancer.

Abstract 4724: Novel and selective inhibitors of histone deacetylases (HDAC) 1 and 2 synergize with DNA methyltransferase inhibitor azacitidine in acute myeloid leukemia (AML)

Abstract AML is a heterogeneous group of hematopoietic stem cell disorders characterized by defects in myeloid differentiation and increased proliferation of neoplastic hematopoietic precursor cells. Outcomes for patients with AML remain generally poor, highlighting the need for novel treatment options. Aberrant epigenetic regulation plays an important role in the pathogenesis of AML, and the DNA methyltransferase inhibitor VIDAZA™ (azacitidine) is approved by European Medicines Agency for the treatment of elderly patients with AML. Numerous clinical studies are ongoing to investigate the benefit of combining azacitidine with other investigational agents in AML. HDAC inhibitors are promising agents for the treatment of AML. Combination studies with HDAC inhibitors plus DNA methyltransferase inhibitors have suggested beneficial clinical activity in AML. However, the toxicity profiles of non-selective HDAC inhibitors in the combination settings limit the clinical benefit. In this work, we describe the preclinical development of highly selective HDAC inhibitors, which are hypothesized to have improved safety profiles than non-selective HDAC inhibitors, for combination therapy in AML. We demonstrate that selective HDAC1/2 inhibitors are highly effective and efficacious both as single agents and in combination with azacitidine in preclinical models of AML, including established AML cell lines, bone marrow samples freshly derived from AML patients and in vivo xenograft models of human AML. At the molecular level, gene expression profiling, DNA methylation mapping and chromatin immunoprecipitation analysis were performed on AML cells treated with either an HDAC1/2 inhibitor, azacitidine, or the drug combination. Molecular signatures and genes involved in myeloid cell differentiation, apoptosis and cell cycle arrest were identified as potential mediators of the combinatorial effects of HDAC1/2 inhibition with azacitidine. Together, these findings support the clinical evaluation of selective HDAC1/2 inhibitors in combination with azacitidine in AML patients. Citation Format: Chengyin Min, Steven N. Quayle, Pengyu Huang, Jeffrey R. Shearstone, Simon S. Jones, Min Yang. Novel and selective inhibitors of histone deacetylases (HDAC) 1 and 2 synergize with DNA methyltransferase inhibitor azacitidine in acute myeloid leukemia (AML). [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4724.

Novel epigenetic changes in CDKN2A are associated with progression of cervical intraepithelial neoplasia

ObjectiveTo conduct a comprehensive mapping of the genomic DNA methylation in CDKN2A, which codes for the p16INK4A and p14ARF proteins, and 14 of the most promising DNA methylation marker candidates previously reported to be associated with progression of low-grade cervical intraepithelial neoplasia (CIN1) to cervical cancer. MethodsWe analyzed DNA methylation in 68 HIV-seropositive and negative women with incident CIN1, CIN2, CIN3 and invasive cervical cancer, assaying 120 CpG dinucleotide sites spanning APC, CDH1, CDH13, CDKN2A, CDKN2B, DAPK1, FHIT, GSTP1, HIC1, MGMT, MLH1, RARB, RASSF1, TERT and TIMP3 using the Illumina Infinium array. Validation was performed using high resolution mapping of the target genes with HELP-tagging for 286 CpGs, followed by fine mapping of candidate genes with targeted bisulfite sequencing. We assessed for statistical differences in DNA methylation levels for each CpG loci assayed using univariate and multivariate methods correcting for multiple comparisons. ResultsIn our discovery sample set, we identified dose dependent differences in DNA methylation with grade of disease in CDKN2A, APC, MGMT, MLH1 and HIC1, whereas single CpG locus differences between CIN2/3 and cancer groups were seen for CDH13, DAPK1 and TERT. Only those CpGs in the gene body of CDKN2A showed a monotonic increase in methylation between persistent CIN1, CIN2, CIN3 and cancers. ConclusionOur data suggests a novel link between early cervical disease progression and DNA methylation in a region downstream of the CDKN2A transcription start site that may lead to increased p16INK4A/p14ARF expression prior to development of malignant disease.

Whole-genome DNA methylation and hydroxymethylation profiling for HBV-related hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a common solid tumor worldwide with a poor prognosis. Accumulating evidence has implicated important regulatory roles of epigenetic modifications in the occurrence and progression of HCC. In the present study, we analyzed 5-methylcytosine (5-mC) and 5-hydroxymethylcytosine (5-hmC) levels in the tumor tissues and paired adjacent peritumor tissues (APTs) from four individual HCC patients using a (hydroxy)methylated DNA immunoprecipitation approach combined with deep sequencing [(h)MeDIP-Seq]. Bioinformatics analysis revealed that the 5-mC levels in the promoter regions of 2796 genes and the 5-hmC levels in 507 genes differed significantly between HCC tissues and APTs. These differential genes were grouped into various clusters and pathways and found to be particularly enriched in the 'metabolic pathways' that include 'Glycolysis/gluconeogenesis', 'Oxidative phosphorylation' and 'Citrate cycle (TCA cycle)', implicating a potential role of metabolic alterations in HCC. Furthermore, 144 genes had both 5-mC and 5-hmC changes in HCC patients, and 10 of them (PCNA, MDM2, STAG1, E2F4, FGF4, FGF19, RHOBTB2, UBE2QL1, DCN and HSP90AA1) were enriched and interconnected in five pathways including the 'Cell cycle', 'Pathway in cancer', 'Ubiquitin mediated proteolysis', 'Melanoma' and 'Prostate cancer' pathways. The genome-wide mapping of 5-mC and 5-hmC in HCC tissues and APTs indicated that both 5-mC and 5-hmC epigenetic modifications play important roles in the regulation of HCC, and there may be some interconnections between them. Taken together, in the present study we conducted the first genome-wide mapping of DNA methylation combined with hydroxymethylation in HBV-related HCC and provided a series of potential novel epigenetic biomarkers for HCC.

Genome-wide mapping of DNA methylation in Nile Tilapia

Cytosine DNA methylation is crucial for gene regulation and maintenance of genome stability. However, the detailed nile tilapia methylome remains uncharacterized. In this study, we present the first high-resolution methylome of tilapia gonad generated using methylated DNA immunoprecipitation (MeDIP) and high-throughput sequencing. In the ovary, 265 and 56 methylation peaks were identified in the genebody and promoter region of 145 genes, respectively. In the testis, 293 and 80 methylation peaks were identified in the genebody and promoter region of 144 genes. Furthermore, 8 and 49 genes showed differentially higher and lower promoter-region methylation rates, respectively, in the ovary relative to those of the testis. Quantitative PCR results revealed that the expression level of fibroblast growth factor 16 (fgf16), sialidase-3-like, fibroblast growth factor 20, aromatase (cyp19a), estrogen receptor, and gonadotropin receptor II precursor were negatively correlated to their methylation levels in the ovary and testis. The methylated levels of cyp19a and fgf16 were validated by bisulfite sequencing PCR technology, and the results were consistent with the MeDIP results. Thus, apart from generating the first methylation map, this study produced a candidate gene repository that provides additional options to explore the relationship between DNA methylation and sex differentiation or maintenance.

MethyLiftover: cross-platform DNA methylation data integration.

: The public availability of high throughput molecular data provides new opportunities for researchers to advance discovery, replication and validation efforts. One common challenge in leveraging such data is the diversity of measurement approaches and platforms and a lack of utilities enabling cross-platform comparisons among data sources for analysis. We present a method to map DNA methylation data from bisulfite sequencing approaches to CpG sites measured with the widely used Illumina methylation bead-array platforms. Correlations and median absolute deviations support the validity of using bisulfite sequencing data in combination with Illumina bead-array methylation data. https://github.com/Christensen-Lab-Dartmouth/methyLiftover includes source, documentation and data references. brock.c.christensen@dartmouth.edu Supplementary data are available at Bioinformatics online.

Mapping of Variable DNA Methylation Across Multiple Cell Types Defines a Dynamic Regulatory Landscape of the Human Genome.

DNA methylation is an important epigenetic modification involved in many biological processes and diseases. Many studies have mapped DNA methylation changes associated with embryogenesis, cell differentiation, and cancer at a genome-wide scale. Our understanding of genome-wide DNA methylation changes in a developmental or disease-related context has been steadily growing. However, the investigation of which CpGs are variably methylated in different normal cell or tissue types is still limited. Here, we present an in-depth analysis of 54 single-CpG-resolution DNA methylomes of normal human cell types by integrating high-throughput sequencing-based methylation data. We found that the ratio of methylated to unmethylated CpGs is relatively constant regardless of cell type. However, which CpGs made up the unmethylated complement was cell-type specific. We categorized the 26,000,000 human autosomal CpGs based on their methylation levels across multiple cell types to identify variably methylated CpGs and found that 22.6% exhibited variable DNA methylation. These variably methylated CpGs formed 660,000 variably methylated regions (VMRs), encompassing 11% of the genome. By integrating a multitude of genomic data, we found that VMRs enrich for histone modifications indicative of enhancers, suggesting their role as regulatory elements marking cell type specificity. VMRs enriched for transcription factor binding sites in a tissue-dependent manner. Importantly, they enriched for GWAS variants, suggesting that VMRs could potentially be implicated in disease and complex traits. Taken together, our results highlight the link between CpG methylation variation, genetic variation, and disease risk for many human cell types.

Abstract PR13: DNA methylation mapping and computational modeling in a large Ewing sarcoma cohort identifies principles of tumor heterogeneity and their impact on clinical phenotypes

Abstract Ewing sarcoma is an excellent model for studying the role of epigenetic deregulation and tumor heterogeneity, given its low mutation rates and the well-defined oncogenic driver. We have recently shown that the fusion oncogene EWS-FLI1 induces widespread epigenetic rewiring in proximal and distal enhancers (Tomazou et al. Cell Reports 2015). In the current study, we validate the clinical relevance of our results in a large cohort of primary tumors, and we explore the prevalence, characteristics, and clinical impact of epigenetic tumor heterogeneity in Ewing sarcoma. We used reduced representation bisulfite sequencing (RRBS) to generate genome-wide profiles of DNA methylation in 141 Ewing sarcoma primary tumors, 17 Ewing sarcoma cell lines, and 32 primary mesenchymal stem cell (MSC) samples. Deep sequencing resulted in DNA methylation measurements for an average of 3.5 million unique CpGs per sample with excellent data quality (>98% bisulfite conversion efficiency). In addition, for three primary tumors we generated comprehensive reference epigenome maps using whole genome bisulfite sequencing (WGBS) and ChIP-seq for seven histone marks (H3K4me3, H3K4me1, H3K27me3, H3K27ac, H3K56ac, H3K36me3, and H3K9me3). We show that DNA methylation data can be used to infer enhancer activity differences among tumors, allowing us to exploit our large primary tumor dataset to systematically compare the regulation of EWS-FLI1 correlated and anticorrelated enhancers. We also identified Ewing-specific DNA methylation patterns. For example, Ewing sarcoma samples consistently show higher DNA methylation than MSCs at AP-1 binding sites, but lower DNA methylation at EWS-FLI1 binding sites. To explore epigenetic heterogeneity within individual tumors, we developed a bioinformatic algorithm that quantifies DNA methylation disorder. Using individual reads containing multiple DNA methylation measurements from single cells, we assign scores at single-nucleotide resolution. This method uses a probabilistic model to account for overall methylation rate and expected disorder levels. By evaluating the likelihood of the data in a model that assumes that the DNA methylation status of a CpG is independent of the methylation status of a nearby CpG, we identify extremely heterogeneous as well as highly epigenetically conserved genomic elements. These different region types show distinct patterns of enrichment for regulatory modes and transcription factor binding. We also compared the observed DNA methylation disorder in 141 Ewing tumors to those observed in 17 Ewing sarcoma cell lines, 32 primary MSC samples, and several hundred additional tumor and normal samples that are unrelated to Ewing sarcoma. This analysis identified Ewing-specific patterns of DNA methylation heterogeneity and stratifies patients based on epigenetic heterogeneity. Our dataset constitutes the largest available resource of genome-scale DNA methylation maps in a solid pediatric tumor. It strongly confirms the relevance of enhancer reprogramming and tumor heterogeneity in Ewing sarcoma, and it constitutes a starting point to develop DNA methylation biomarkers for prognosis and patient stratification. This study is supported by the Austrian National Bank (OeNB project #15714) and the Kapsch group (https://www.kapsch.net/). This abstract is also presented as Poster A24. Citation Format: Nathan C. Sheffield, Franck Tirode, Sandrine Grossetete-Lalami, Paul Datlinger, Andreas Schönegger, Johanna Hadler, Diana Walder, Ingeborg M. Ambros, Ana Teresa Amaral, Enrique de Álava, Katharina Schallmoser, Dirk Strunk, Beate Rinner, Bernadette Liegl-Atzwanger, Berthold Huppertz, Andreas Leithner, Uta Dirksen, Peter Ambros, Olivier Delattre, Heinrich Kovar, Christoph Bock, Eleni M. Tomazou. DNA methylation mapping and computational modeling in a large Ewing sarcoma cohort identifies principles of tumor heterogeneity and their impact on clinical phenotypes. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Pediatric Cancer Research: From Mechanisms and Models to Treatment and Survivorship; 2015 Nov 9-12; Fort Lauderdale, FL. Philadelphia (PA): AACR; Cancer Res 2016;76(5 Suppl):Abstract nr PR13.

Environment-induced epigenetic reprogramming in genomic regulatory elements in smoking mothers and their children.

Epigenetic mechanisms have emerged as links between prenatal environmental exposure and disease risk later in life. Here, we studied epigenetic changes associated with maternal smoking at base pair resolution by mapping DNA methylation, histone modifications, and transcription in expectant mothers and their newborn children. We found extensive global differential methylation and carefully evaluated these changes to separate environment associated from genotype‐related DNA methylation changes. Differential methylation is enriched in enhancer elements and targets in particular “commuting” enhancers having multiple, regulatory interactions with distal genes. Longitudinal whole‐genome bisulfite sequencing revealed that DNA methylation changes associated with maternal smoking persist over years of life. Particularly in children prenatal environmental exposure leads to chromatin transitions into a hyperactive state. Combined DNA methylation, histone modification, and gene expression analyses indicate that differential methylation in enhancer regions is more often functionally translated than methylation changes in promoters or non‐regulatory elements. Finally, we show that epigenetic deregulation of a commuting enhancer targeting c‐Jun N‐terminal kinase 2 (JNK2) is linked to impaired lung function in early childhood.

A genome-wide search for epigenetically [corrected] regulated genes in zebra finch using MethylCap-seq and RNA-seq.

Learning and memory formation are known to require dynamic CpG (de)methylation and gene expression changes. Here, we aimed at establishing a genome-wide DNA methylation map of the zebra finch genome, a model organism in neuroscience, as well as identifying putatively epigenetically regulated genes. RNA- and MethylCap-seq experiments were performed on two zebra finch cell lines in presence or absence of 5-aza-2′-deoxycytidine induced demethylation. First, the MethylCap-seq methodology was validated in zebra finch by comparison with RRBS-generated data. To assess the influence of (variable) methylation on gene expression, RNA-seq experiments were performed as well. Comparison of RNA-seq and MethylCap-seq results showed that at least 357 of the 3,457 AZA-upregulated genes are putatively regulated by methylation in the promoter region, for which a pathway analysis showed remarkable enrichment for neurological networks. A subset of genes was validated using Exon Arrays, quantitative RT-PCR and CpG pyrosequencing on bisulfite-treated samples. To our knowledge, this study provides the first genome-wide DNA methylation map of the zebra finch genome as well as a comprehensive set of genes of which transcription is under putative methylation control.

Diagenode® Premium RRBS technology: cost-effective DNA methylation mapping with superior coverage

Reduced representation bisulfite sequencing (RRBS) enables genome-scale DNA methylation analysis in any vertebrate species. The assay benefits from the practical advantages of bisulfite sequencing while avoiding the cost of whole-genome sequencing. The Diagenode Premium RRBS kit makes this technology widely available and provides high coverage (up to 4 million CpGs in human samples). Multiplexing prior to bisulfite conversion allows processing of 96 samples per experiment, enabling studies of large cohorts.

Genome-wide identification of DNA methylation provides insights into the association of gene expression in rice exposed to pesticide atrazine.

Atrazine (ATR) is a pesticide widely used for controlling weeds for crop production. Crop contamination with ATR negatively affects crop growth and development. This study presents the first genome-wide single-base-resolution maps of DNA methylation in ATR-exposed rice. Widespread differences were identified in CG and non-CG methylation marks between the ATR-exposed and ATR-free (control) rice. Most of DNA methyltransferases, histone methyltransferases and DNA demethylase were differentially regulated by ATR. We found more genes hypermethylated than those hypomethylated in the regions of upstream, genebody and downstream under ATR exposure. A stringent group of 674 genes (p < 0.05, two-fold change) with a strong preference of differential expression in ATR-exposed rice was identified. Some of the genes were identified in a subset of loss of function mutants defective in DNA methylation/demethylation. Provision of 5-azacytidine (AZA, inhibitor of DNA methylation) promoted the rice growth and reduced ATR content. By UPLC/Q-TOF-MS/MS, 8 degraded products and 9 conjugates of ATR in AZA-treated rice were characterized. Two of them has been newly identified in this study. Our data show that ATR-induced changes in DNA methylation marks are possibly involved in an epigenetic mechanism associated with activation of specific genes responsible for ATR degradation and detoxification.

Discovery and Validation of Hypermethylated Markers for Colorectal Cancer.

Colorectal carcinoma (CRC) is one of the most prevalent malignant tumors worldwide. Screening and early diagnosis are critical for the clinical management of this disease. DNA methylation changes have been regarded as promising biomarkers for CRC diagnosis. Here, we map DNA methylation profiling on CRC in six CRCs and paired normal samples using a 450 K bead array. Further analysis confirms the methylation status of candidates in two data sets from the Gene Expression Omnibus. Receiver operating characteristic (ROC) curves are calculated to determine the diagnostic performances. We identify 1549 differentially methylated regions (DMRs) showing differences in methylation between CRC and normal tissue. Two genes (ADD2 and AKR1B1), related to the DMRs, are selected for further validation. ROC curves show that the areas under the curves of ADD2 and AKR1B1 are higher than that of SEPT9, which has been clinically used as a screening biomarker of CRC. Our data suggests that aberrant DNA methylation of ADD2 and AKR1B1 could be potential screening markers of CRC.

Evolutionary Transition of Promoter and Gene Body DNA Methylation across Invertebrate-Vertebrate Boundary.

Genomes of invertebrates and vertebrates exhibit highly divergent patterns of DNA methylation. Invertebrate genomes tend to be sparsely methylated, and DNA methylation is mostly targeted to a subset of transcription units (gene bodies). In a drastic contrast, vertebrate genomes are generally globally and heavily methylated, punctuated by the limited local hypo-methylation of putative regulatory regions such as promoters. These genomic differences also translate into functional differences in DNA methylation and gene regulation. Although promoter DNA methylation is an important regulatory component of vertebrate gene expression, its role in invertebrate gene regulation has been little explored. Instead, gene body DNA methylation is associated with expression of invertebrate genes. However, the evolutionary steps leading to the differentiation of invertebrate and vertebrate genomic DNA methylation remain unresolved. Here we analyzed experimentally determined DNA methylation maps of several species across the invertebrate–vertebrate boundary, to elucidate how vertebrate gene methylation has evolved. We show that, in contrast to the prevailing idea, a substantial number of promoters in an invertebrate basal chordate Ciona intestinalis are methylated. Moreover, gene expression data indicate significant, epigenomic context-dependent associations between promoter methylation and expression in C. intestinalis. However, there is no evidence that promoter methylation in invertebrate chordate has been evolutionarily maintained across the invertebrate–vertebrate boundary. Rather, body-methylated invertebrate genes preferentially obtain hypo-methylated promoters among vertebrates. Conversely, promoter methylation is preferentially found in lineage- and tissue-specific vertebrate genes. These results provide important insights into the evolutionary origin of epigenetic regulation of vertebrate gene expression.

Validation of a DNA methylation microarray for 850,000 CpG sites of the human genome enriched in enhancer sequences.

Aim:DNA methylation is the best known epigenetic mark. Cancer and other pathologies show an altered DNA methylome. However, delivering complete DNA methylation maps is compromised by the price and labor-intensive interpretation of single nucleotide methods.Material & methods:Following the success of the HumanMethylation450 BeadChip (Infinium) methylation microarray (450K), we report the technical and biological validation of the newly developed MethylationEPIC BeadChip (Infinium) microarray that covers over 850,000 CpG methylation sites (850K). The 850K microarray contains >90% of the 450K sites, but adds 333,265 CpGs located in enhancer regions identified by the ENCODE and FANTOM5 projects.Results & conclusion:The 850K array demonstrates high reproducibility at the 450K CpG sites, is consistent among technical replicates, is reliable in the matched study of fresh frozen versus formalin-fixed paraffin-embeded samples and is also useful for 5-hydroxymethylcytosine. These results highlight the value of the MethylationEPIC BeadChip as a useful tool for the analysis of the DNA methylation profile of the human genome.

Abstract B84: Novel and selective inhibitors of histone deacetylases (HDAC) 1 and 2 significantly enhance the activity of the DNA methyltransferase inhibitor azacitidine in acute myeloid leukemia (AML)

Abstract AML is a heterogeneous group of hematopoietic stem cell disorders characterized by defects in myeloid differentiation and increased proliferation of neoplastic hematopoietic precursor cells. There is a great need for novel approaches to treat AML due to limited improvements in the treatment of patients over the past several decades. Aberrant epigenetic regulation plays an important role in the pathogenesis of AML, and the DNA methyltransferase inhibitor azacitidine is approved for the treatment of myelodysplastic (MDS), which frequently progresses to AML, and is commonly used in AML patients. Numerous clinical studies are ongoing to investigate the benefit of combining azacitidine with other investigational agents in AML. HDAC inhibitors are promising agents for the treatment of AML. Selective HDAC inhibitors are predicted to reduce combination drug toxicity and other side effects observed with pan-HDAC inhibitors, while still enabling therapeutic benefits. In this work, we demonstrate that potent and selective inhibitors of HDAC1/2 are highly efficacious both as single agents and in combination with azacitidine in preclinical models of AML, including established AML cell lines and bone marrow samples freshly derived from AML patients. Combination treatment in vivo demonstrated good tolerability, and ongoing efficacy studies in AML xenograft models will be discussed. At the molecular level, gene expression profiling and DNA methylation mapping were performed on MV4-11 cells treated with an HDAC1/2 inhibitor, azacitidine, or the combination. Molecular signatures were analyzed by GSEA. Significantly more genes and signatures were upregulated than downregulated by the single agent and combination treatments, consistent with the transcription activation mechanism of these compounds. Signatures and genes involved in myeloid cell differentiation, apoptosis and cell cycle arrest were identified as potential mediators of the combinatorial effects of HDAC1/2 inhibition with azacitidine. Together, these findings support the clinical evaluation of selective HDAC1/2 inhibitors in combination with azacitidine in AML and potentially MDS patients. Citation Format: Chengyin Min, Steven N. Quayle, Pengyu Huang, Jeffrey R. Shearstone, Simon S. Jones, Min Yang. Novel and selective inhibitors of histone deacetylases (HDAC) 1 and 2 significantly enhance the activity of the DNA methyltransferase inhibitor azacitidine in acute myeloid leukemia (AML). [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2015 Nov 5-9; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2015;14(12 Suppl 2):Abstract nr B84.

Differential DNA Methylation Analysis without a Reference Genome.

SummaryGenome-wide DNA methylation mapping uncovers epigenetic changes associated with animal development, environmental adaptation, and species evolution. To address the lack of high-throughput methods for DNA methylation analysis in non-model organisms, we developed an integrated approach for studying DNA methylation differences independent of a reference genome. Experimentally, our method relies on an optimized 96-well protocol for reduced representation bisulfite sequencing (RRBS), which we have validated in nine species (human, mouse, rat, cow, dog, chicken, carp, sea bass, and zebrafish). Bioinformatically, we developed the RefFreeDMA software to deduce ad hoc genomes directly from RRBS reads and to pinpoint differentially methylated regions between samples or groups of individuals (http://RefFreeDMA.computational-epigenetics.org). The identified regions are interpreted using motif enrichment analysis and/or cross-mapping to annotated genomes. We validated our method by reference-free analysis of cell-type-specific DNA methylation in the blood of human, cow, and carp. In summary, we present a cost-effective method for epigenome analysis in ecology and evolution, which enables epigenome-wide association studies in natural populations and species without a reference genome.

Mapping DNA methylation across development, genotype and schizophrenia in the human frontal cortex.

DNA methylation (DNAm) is important in brain development, and potentially in schizophrenia. We characterized DNAm in prefrontal cortex from 335 non-psychiatric controls across the lifespan and 191 patients with schizophrenia, and identified widespread changes in the transition from prenatal to postnatal life. These DNAm changes manifest in the transcriptome, correlate strongly with a shifting cellular landscape, and overlap regions of genetic risk for schizophrenia. A quarter of published GWAS-suggestive loci (4,208/15,930, p<10−100) manifest as significant methylation quantitative trait loci (meQTLs), including 59.6% of GWAS-positive schizophrenia loci. We identified 2,104 CpGs that differ between schizophrenia patients and controls, enriched for genes related to development and neurodifferentiation. The schizophrenia-associated CpGs strongly correlate with changes related to the prenatal-postnatal transition and show slight enrichment for GWAS risk loci, while not corresponding to CpGs differentiating adolescence from later adult life. These data implicate an epigenetic component to the developmental origins of this disorder.

Genome-wide DNA methylation map of human neutrophils reveals widespread inter-individual epigenetic variation.

The extent of variation in DNA methylation patterns in healthy individuals is not yet well documented. Identification of inter-individual epigenetic variation is important for understanding phenotypic variation and disease susceptibility. Using neutrophils from a cohort of healthy individuals, we generated base-resolution DNA methylation maps to document inter-individual epigenetic variation. We identified 12851 autosomal inter-individual variably methylated fragments (iVMFs). Gene promoters were the least variable, whereas gene body and upstream regions showed higher variation in DNA methylation. The iVMFs were relatively enriched in repetitive elements compared to non-iVMFs, and were associated with genome regulation and chromatin function elements. Further, variably methylated genes were disproportionately associated with regulation of transcription, responsive function and signal transduction pathways. Transcriptome analysis indicates that iVMF methylation at differentially expressed exons has a positive correlation and local effect on the inclusion of that exon in the mRNA transcript.

Analysis of DNA methylation landscape reveals the roles of DNA methylation in the regulation of drug metabolizing enzymes.

BackgroundDrug metabolizing enzymes (DMEs) exhibit dramatic inter- and intra-individual variability in expression and activity. However, the mechanisms determining this variability have not been fully elucidated. The aim of this study was to evaluate the biological significance of DNA methylation in the regulation of DME genes by genome-wide integrative analysis.ResultsDNA methylation and mRNA expression profiles of human tissues and hepatoma cells were examined by microarrays. The data were combined with GEO datasets of liver tissues, and integrative analysis was performed on selected DME genes. Detailed DNA methylation statuses at individual CpG sites were evaluated by DNA methylation mapping. From analysis of 20 liver tissues, highly variable DNA methylation was observed in 37 DME genes, 7 of which showed significant inverse correlations between DNA methylation and mRNA expression. In hepatoma cells, treatment with a demethylating agent resulted in upregulation of 5 DME genes, which could be explained by DNA methylation status. Interestingly, some DMEs were suggested to act as tumor-suppressor or housekeeper based on their unique DNA methylation features. Moreover, tissue-specific and age-dependent expression of UDP-glucuronosyltransferase 1A splicing variants was associated with DNA methylation status of individual first exons.ConclusionsSome DME genes were regulated by DNA methylation, potentially resulting in inter- and intra-individual differences in drug metabolism. Analysis of DNA methylation landscape facilitated elucidation of the role of DNA methylation in the regulation of DME genes, such as mediator of inter-individual variability, guide for correct alternative splicing, and potential tumor-suppressor or housekeeper.Electronic supplementary materialThe online version of this article (doi:10.1186/s13148-015-0136-7) contains supplementary material, which is available to authorized users.