DNA methylation age is accelerated in alcohol dependence.

Alcohol dependence (ALC) is a chronic, relapsing disorder that increases the burden of chronic disease and significantly contributes to numerous premature deaths each year. Previous research suggests that chronic, heavy alcohol consumption is associated with differential DNA methylation patterns. In addition, DNA methylation levels at certain CpG sites have been correlated with age. We used an epigenetic clock to investigate the potential role of excessive alcohol consumption in epigenetic aging. We explored this question in five independent cohorts, including DNA methylation data derived from datasets from blood (n = 129, n = 329), liver (n = 92, n = 49), and postmortem prefrontal cortex (n = 46). One blood dataset and one liver tissue dataset of individuals with ALC exhibited positive age acceleration (p < 0.0001 and p = 0.0069, respectively), whereas the other blood and liver tissue datasets both exhibited trends of positive age acceleration that were not significant (p = 0.83 and p = 0.57, respectively). Prefrontal cortex tissue exhibited a trend of negative age acceleration (p = 0.19). These results suggest that excessive alcohol consumption may be associated with epigenetic aging in a tissue-specific manner and warrants further investigation using multiple tissue samples from the same individuals

Loss of Dnmt3b function upregulates the tumor modifier Ment and accelerates mouse lymphomagenesis

DNA methyltransferase 3B (Dnmt3b) belongs to a family of enzymes responsible for methylation of cytosine residues in mammals. DNA methylation contributes to the epigenetic control of gene transcription and is deregulated in virtually all human tumors. To better understand the generation of cancer-specific methylation patterns, we genetically inactivated Dnmt3b in a mouse model of MYC-induced lymphomagenesis. Ablation of Dnmt3b function using a conditional knockout in T cells accelerated lymphomagenesis by increasing cellular proliferation, which suggests that Dnmt3b functions as a tumor suppressor. Global methylation profiling revealed numerous gene promoters as potential targets of Dnmt3b activity, the majority of which were demethylated in Dnmt3b–/– lymphomas, but not in Dnmt3b–/– pretumor thymocytes, implicating Dnmt3b in maintenance of cytosine methylation in cancer. Functional analysis identified the gene Gm128 (which we termed herein methylated in normal thymocytes [Ment]) as a target of Dnmt3b activity. We found that Ment was gradually demethylated and overexpressed during tumor progression in Dnmt3b–/– lymphomas. Similarly, MENT was overexpressed in 67% of human lymphomas, and its transcription inversely correlated with methylation and levels of DNMT3B. Importantly, knockdown of Ment inhibited growth of mouse and human cells, whereas overexpression of Ment provided Dnmt3b+/+ cells with a proliferative advantage. Our findings identify Ment as an enhancer of lymphomagenesis that contributes to the tumor suppressor function of Dnmt3b and suggest it could be a potential target for anticancer therapies

Initiation of aberrant DNA methylation patterns and heterogeneity in precancerous lesions of human hepatocellular cancer

<p>While intratumor heterogeneity contributes to disease progression, metastasis, and resistance to chemotherapy, it also provides a route to understanding the evolution and drivers of disease. Defects in epigenetic landscapes are intimately linked to pathogenesis of a variety of human diseases, with epigenetic deregulation promoting tumorigenesis. Understanding epigenetic heterogeneity is crucial in hepatocellular carcinoma (HCC), where epigenetic alterations are frequent, early, and pathogenic events. We determined genome-wide DNA methylation and copy number variation leveraging the Infinium 450K in a series of regenerative nodules from within single patient livers. Bioinformatics strategies were used to ascertain within-patient heterogeneity, link epigenetic changes to clinical features, and determine their relevance to disease pathogenesis. Our data demonstrate that DNA methylation and copy number alterations evolve during the pre-neoplastic phase of HCC and independently segregate regenerative nodules into distinct clusters. Regenerative nodules with a high frequency of epigenetic changes have significantly lower copy number variation, suggesting that individual nodules have differential enrichment of epigenetic and genetic components, with both contributing to disease progression. Regenerative nodules were scored based on ‘epigenetic progression’ with higher scores associated with increased proliferation measured by Ki67 staining. Early events observed in epigenetically ‘aggressive’ nodules are enriched for genes involved in liver cancer. Our study demonstrates that marked epigenetic and genetic heterogeneity exists in early pre-neoplastic liver tissue within individual patients, emphasizing the potential contributions of each mechanism to driving liver disease progression, and it unveils strategies for identifying epigenetic drivers of hepatocellular carcinoma.</p

Acute Depletion Redefines the Division of Labor among DNA Methyltransferases in Methylating the Human Genome

Global patterns of DNA methylation, mediated by the DNA methyltransferases (DNMTs), are disrupted in all cancers by mechanisms that remain largely unknown, hampering their development as therapeutic targets. Combinatorial acute depletion of all DNMTs in a pluripotent human tumor cell line, followed by epigenome and transcriptome analysis, revealed DNMT functions in fine detail. DNMT3B occupancy regulates methylation during differentiation, whereas an unexpected interplay was discovered in which DNMT1 and DNMT3B antithetically regulate methylation and hydroxymethylation in gene bodies, a finding confirmed in other cell types. DNMT3B mediated non-CpG methylation, whereas DNMT3L influenced the activity of DNMT3B toward non-CpG versus CpG site methylation. Altogether, these data reveal functional targets of each DNMT, suggesting that isoform selective inhibition would be therapeutically advantageous

Distinctive epigenomes characterize glioma stem cells and their response to differentiation cues

Abstract Background Glioma stem cells (GSCs) are a subpopulation of stem-like cells that contribute to glioblastoma (GBM) aggressiveness, recurrence, and resistance to radiation and chemotherapy. Therapeutically targeting the GSC population may improve patient survival, but unique vulnerabilities need to be identified. Results We isolate GSCs from well-characterized GBM patient-derived xenografts (PDX), characterize their stemness properties using immunofluorescence staining, profile their epigenome including 5mC, 5hmC, 5fC/5caC, and two enhancer marks, and define their transcriptome. Fetal brain-derived neural stem/progenitor cells are used as a comparison to define potential unique and common molecular features between these different brain-derived cells with stem properties. Our integrative study reveals that abnormal expression of ten-eleven-translocation (TET) family members correlates with global levels of 5mC and 5fC/5caC and may be responsible for the distinct levels of these marks between glioma and neural stem cells. Heterogenous transcriptome and epigenome signatures among GSCs converge on several genes and pathways, including DNA damage response and cell proliferation, which are highly correlated with TET expression. Distinct enhancer landscapes are also strongly associated with differential gene regulation between glioma and neural stem cells; they exhibit unique co-localization patterns with DNA epigenetic mark switching events. Upon differentiation, glioma and neural stem cells exhibit distinct responses with regard to TET expression and DNA mark changes in the genome and GSCs fail to properly remodel their epigenome. Conclusions Our integrative epigenomic and transcriptomic characterization reveals fundamentally distinct yet potentially targetable biologic features of GSCs that result from their distinct epigenomic landscapes

Dnmt3a Is a Haploinsufficient Tumor Suppressor in CD8+ Peripheral T Cell Lymphoma

<div><p>DNA methyltransferase 3A (DNMT3A) is an enzyme involved in DNA methylation that is frequently mutated in human hematologic malignancies. We have previously shown that inactivation of Dnmt3a in hematopoietic cells results in chronic lymphocytic leukemia in mice. Here we show that 12% of Dnmt3a-deficient mice develop CD8+ mature peripheral T cell lymphomas (PTCL) and 29% of mice are affected by both diseases. 10% of <i>Dnmt3a</i>^<i>+/-</i> mice develop lymphomas, suggesting that Dnmt3a is a haploinsufficient tumor suppressor in PTCL. DNA methylation was deregulated genome-wide with 10-fold more hypo- than hypermethylated promoters and enhancers, demonstrating that hypomethylation is a major event in the development of PTCL. Hypomethylated promoters were enriched for binding sites of transcription factors AML1, NF-κB and OCT1, implying the transcription factors potential involvement in Dnmt3a-associated methylation. Whereas 71 hypomethylated genes showed an increased expression in PTCL, only 3 hypermethylated genes were silenced, suggesting that cancer-specific hypomethylation has broader effects on the transcriptome of cancer cells than hypermethylation. Interestingly, transcriptomes of <i>Dnmt3a</i>^<i>+/-</i> and <i>Dnmt3a</i>^<i>Δ/Δ</i> lymphomas were largely conserved and significantly overlapped with those of human tumors. Importantly, we observed downregulation of tumor suppressor p53 in <i>Dnmt3a</i>^<i>+/-</i> and <i>Dnmt3a</i>^<i>Δ/Δ</i> lymphomas as well as in pre-tumor thymocytes from 9 months old but not 6 weeks old <i>Dnmt3a</i>^<i>+/-</i> tumor-free mice, suggesting that p53 downregulation is chronologically an intermediate event in tumorigenesis. Decrease in p53 is likely an important event in tumorigenesis because its overexpression inhibited proliferation in mouse PTCL cell lines, suggesting that low levels of p53 are important for tumor maintenance. Altogether, our data link the haploinsufficient tumor suppressor function of Dnmt3a in the prevention of mouse mature CD8+ PTCL indirectly to a <i>bona fide</i> tumor suppressor of T cell malignancies p53.</p></div

Jdp2 is hypomethylated and overexpressed in human and mouse PTCL.

<p>(A) COBRA analysis of mouse Jdp2 promoter methylation in three independent <i>Dnmt3a</i>^<i>Δ/Δ</i> PTCL samples. Undigested (U) and digested (D) fragments correspond to unmethylated and methylated DNA, respectively. Control PCR fragments generated from fully methylated mouse genomic DNA that is undigested (M) or digested (CpG) are shown. (B) Normalized gene expression of Jdp2 in mouse CD8+ control, <i>Dnmt3a</i>^<i>+/-</i> PTCL, and <i>Dnmt3a</i>^<i>Δ/Δ</i> PTCL samples by qRT-PCR. Data presented are the average of two independent experiments. Error bars show standard deviation and an asterisk (*) denotes a p<0.05 (student t-test). (C) Bisulfite sequencing of the JDP2 promoter in normal human CD3+ T cells and in two independent human PTCL samples. Circles represent individual CpGs within the promoter. Black and white areas denote the relative portion of methylated and un-methylated sequence reads at a CpG, respectively. (D) Normalized gene expression of JDP2 in normal human CD3+ T cells and human PTCL samples, by qRT-PCR. Data presented are the average of two independent experiments. Error bars show standard deviation and an asterisk (*) denotes a p<0.05 (student t-test).</p

A majority of promoters are methylated and inactive in normal mouse CD8+ T cells.

<p>(A) CpG methylation in <i>wild-type</i> CD8+ cells, as determined by WGBS. Individual CpGs were placed into quartiles based on percent methylation (0–25%, 26–50%, 51–75%, and 76–100%). (B) Percent methylation shown by quartiles for core promoter regions (-300bp to +150bp relative to the TSS) in <i>wild-type</i> CD8+ cells. Methylation percentages for all CpGs across the 450bp region were averaged to give a mean methylation value for each gene’s core promoter. (C) A heat map displaying methylation status of 21,712 promoters in <i>wild-type</i> CD8+ as determined by WGBS. Methylation percentage for individual CpGs were annotated to the promoter regions −300bp to +150bp relative to the transcription start site (TSS). Methylation percentages for all CpGs across the 450bp region were averaged to give a mean methylation value for each gene promoter. Lowly methylated promoters are shown in yellow and highly methylated promoters in blue (D) Heat map presentation of gene-matched promoter methylation (as analyzed in panel C) and corresponding transcriptional expression (averaged FPKM values) in <i>wild-type</i> CD8+ cells, as determined by WGBS and RNA-seq for 15,732 genes. Highly expressed genes are denoted in red and lowly expressed genes are denoted in green. (E) Ingenuity Pathway analysis (IPA) of highly expressed genes (FPKM ≥ 10) in <i>wild-type</i> CD8+ cells. The top subcategories obtained in Physiological System, Development and Functions are displayed (P<0.05, for all subcategories).</p