Promoter CpG Research Articles

Abstract 4451: Different patterns of SIRT1, KLF4, DAPK1 and SPG20 methylation in B lymphocytes correlate with the clinical parameters of non-Hodgkin lymphoma subtypes

Abstract Background. DNA methylation is one of the best studied epigenetic modifications and one major constituent of the epigenome of a cell. It contributes to normal development as well to carcinogenesis. Nowadays, many efforts are being made in order to use DNA methylation as a biomarker. The aim of our work is to characterize the expression and methylation of SIRT1, HIC1, BCL6, KLF4 and other genes relevant for Non-Hodgkin lymphomas (NHL) pathogenesis. Methods. Immunohistochemistry (IHC) on 72 formalin-fixed paraffin embedded tissue sections (FFPE). B-lymphocytes were purified from 36 biopsies of follicular hyperplasias (non-malignant B-lymphocytes), follicular lymphomas (FL) and diffuse large B-cell lymphomas (DLBCL). Gene expression were analysed by quantitative retrotranscribedPCR (qRTPCR). Quantitative CpG promoter methylation analysis was performed by pyrosequencing after bisulfite conversion or by Methyl II array qPCR on genomic DNA. Results. In a total of 72 FFPE samples of follicular hyperplasias (n = 17), FL (n = 36) and DLBCL (n = 19), SIRT1 staining is localized in the germinal center of the majority of follicular hyperplasias and FL samples. SIRT1 localizes preferentially in the centroblasts of the GC of the follicles where it correlates with Ki67. BCL6 is uniformly positive in follicular hyperplasias and FL, but heterogeneously distributed in DLBCL. Interestingly, SIRT1 and BCL6 expression correlate in FL. By quantitative pyrosequencing we analyzed 3 CpG sites for the SIRT1 promoter (corresponding to the binding sites for CREB, ARID and PPARG transcription factors). Follicular hyperplasias display higher methylation levels (52.88%) than FL (38.36%) and DLBCL (32.65%) on SIRT1 promoter suggesting a possible inverse correlation between tumor aggressiveness and SIRT1 methylation. Next, we selected a panel of genes whose expression is linked to lymphoma pathogenesis. By Methyl II array qPCR, we show that BCL6 methylation does not vary among samples. KLF4, DAPK1 and SPG20, show statistically significant methylation increases in FL and DLBCL compared to follicular hyperplasias, indicating a possible role of these proteins in lymphoma pathogenesis. On the contrary, no significant differences are observed for the other markers MZB1, MGMT, LMO2 and ASXL1. Notably, KLF4, DAPK1 and SPG20 mRNA expression levels anti-correlate with their promoter methylation in FL. Conclusions. Epigenetic changes in SIRT1 methylation inversely correlate with NHL aggressiveness (decreasing in the order: follicular hyperplasias - FL - DLBCL), while KLF4, DAPK1 and SPG20 show a methylation increase that correlates with tumor aggressiveness. These data suggest that different patterns of methylation correlate with the clinical and prognostic parameters of these NHL subtypes. Citation Format: Raffaele Frazzi, Eleonora Zanetti, Mariaelena Pistoni, Ione Tamagnini, Riccardo Valli, Francesco Merli. Different patterns of SIRT1, KLF4, DAPK1 and SPG20 methylation in B lymphocytes correlate with the clinical parameters of non-Hodgkin lymphoma subtypes. [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 4451.

Value of DAPK Gene Methylation Patterns in the Diagnosis of Leukemia

To screen the differential methylation patterns of tumor suppressor gene DAPK and evaluate its value as a biomarker for the diagnosis of leukemia. The methylation status of DAPK gene promoter's CpG island was analyzed in the genomes of normal human white blood cells and HL-60, U937 and Jurkat cell lines by bisulfite sequencing PCR (BSP). The effectiveness of differential methylation patterns of DAPK gene for diagnosis of leukemia was verified in the leukemia cell lines and peripheral blood samples by methylation specific PCR (MSP). The methylation pattern of DAPK gene in different cell genomes displayed that the degree of unmethylation in normal cell genome was higher than that of leukemia cell lines. The differential CpG sites were found and could be used to differentiate HL-60 and the other 3 cell lines by MSP. Meanwhile, the differential methylation patterns in clinical specimens could distinguish acute non-lymphocytic leukemia (ANLL) and other types of leukemia by MSP. The diagnostic sensitivity, specificity and accuracy were 59.1%, 100% and 82.7% respectively. No relationship was found between MSP diagnosis results and clinical pathological typing. The differential methylation patterns of DAPK gene as potential tumor biomarker for diagnosis of leukemia can enrich the means of diagnosis of leukemia, provide idea and basis for finding all kinds of tumor's DNA methylation biomarkers in the future.

Global measures of peripheral blood-derived DNA methylation as a risk factor in the development of mature B-cell neoplasms.

To examine whether peripheral blood methylation is associated with risk of developing mature B-cell neoplasms (MBCNs). We conducted a case-control study nested within a large prospective cohort. Peripheral blood was collected from healthy participants. Cases of MBCN were identified by linkage to cancer registries. Methylation was measured using the Infinium(®) HumanMethylation450. During a median of 10.6-year follow-up, 438 MBCN cases were evaluated. Global hypomethylation was associated with increased risk of MBCN (odds ratio: 2.27, [95% CI: 1.59-3.25]). Within high CpG promoter regions, hypermethylation was associated with increased risk (odds ratio: 1.76 [95% CI: 1.25-2.48]). Promoter hypermethylation was observed in HOXA9 and CDH1 genes. Aberrant global DNA methylation is detectable in peripheral blood collected years before diagnosis and is associated with increased risk of MBCN, suggesting changes to DNA methylation are an early event in MBCN development.

CpG promoter methylation status is not a prognostic indicator of gene expression in beryllium challenge

Individuals exposed to beryllium (Be) may develop Be sensitization (BeS) and progress to chronic beryllium disease (CBD). Recent studies with other metal antigens suggest epigenetic mechanisms may be involved in inflammatory disease processes, including granulomatous lung disorders and that a number of metal cations alter gene methylation. The objective of this study was to determine if Be can exert an epigenetic effect on gene expression by altering methylation in the promoter region of specific genes known to be involved in Be antigen-mediated gene expression. To investigate this objective, three macrophage tumor mouse cell lines known to differentially produce tumor necrosis factor (TNF)-α, but not interferon (IFN)-γ, in response to Be antigen were cultured with Be or controls. Following challenges, ELISA were performed to quantify induced TNFα and IFNγ expression. Bisulfate-converted DNA was evaluated by pyrosequencing to quantify CpG methylation within the promoters of TNFα and IFNγ. Be-challenged H36.12J cells expressed higher levels of TNFα compared to either H36.12E cells or P388D.1 cells. However, there were no variations in TNFα promoter CpG methylation levels between cell lines at the six CpG sites tested. H36.12J cell TNFα expression was shown to be metal-specific by the induction of significantly more TNFα when exposed to Be than when exposed to aluminum sulfate, or nickel (II) chloride, but not when exposed to cobalt (II) chloride. However, H36.12J cell methylation levels at the six CpG sites examined in the TNFα promoter did not correlate with cytokine expression differences. Nonetheless, all three cell lines had significantly more promoter methylation at the six CpG sites investigated within the IFNγ promoter (a gene that is not expressed) when compared to the six CpG sites investigated in the TNFα promoter, regardless of treatment condition (p < 1.17 × 10−9). These findings suggest that, in this cell system, promoter hypo-methylation may be necessary to allow expression of metal-induced TNFα and that promoter hyper-methylation in the IFNγ promoter may interfere with expression. Also, at the dozen CpG sites investigated in the promoter regions of both genes, beryllium had no impact on promoter methylation status, despite its ability to induce pro-inflammatory cytokine expression.

Dynamically reorganized chromatin is the key for the reprogramming of somatic cells to pluripotent cells.

Nucleosome positioning and histone modification play a critical role in gene regulation, but their role during reprogramming has not been fully elucidated. Here, we determined the genome-wide nucleosome coverage and histone methylation occupancy in mouse embryonic fibroblasts (MEFs), induced pluripotent stem cells (iPSCs) and pre-iPSCs. We found that nucleosome occupancy increases in promoter regions and decreases in intergenic regions in pre-iPSCs, then recovers to an intermediate level in iPSCs. We also found that nucleosomes in pre-iPSCs are much more phased than those in MEFs and iPSCs. During reprogramming, nucleosome reorganization and histone methylation around transcription start sites (TSSs) are highly coordinated with distinctively transcriptional activities. Bivalent promoters gradually increase, while repressive promoters gradually decrease. High CpG (HCG) promoters of active genes are characterized by nucleosome depletion at TSSs, while low CpG (LCG) promoters exhibit the opposite characteristics. In addition, we show that vitamin C (VC) promotes reorganizations of canonical, H3K4me3- and H3K27me3-modified nucleosomes on specific genes during transition from pre-iPSCs to iPSCs. These data demonstrate that pre-iPSCs have a more open and phased chromatin architecture than that of MEFs and iPSCs. Finally, this study reveals the dynamics and critical roles of nucleosome positioning and chromatin organization in gene regulation during reprogramming.

Combinatorial Epigenetic Aberration Propagates in Myelodysplastic Syndrome in the Setting of Concurrent Loss of Tet2 and Ezh2

Somatic loss-of-function mutations of epigenetic regulators are frequently found in MDS patients. Although DNA hypomethylating agents have been shown to improve the clinical outcomes in patients with MDS, it remains unknown how altered DNA methylation promotes the development of MDS. We have recently shown that concurrent loss of Tet2 and Ezh2 promotes the development of MDS in mice compared with the individual loss by utilizing hypomorphic Tet2 mice and Ezh2 conditional knockout mice. In this study, we transplanted Cre-ERT (WT), Tet2KD/KD, Cre-ERT;Ezh2fl/fl, and Tet2KD/KD;Cre-ERT;Ezh2fl/fl fetal liver cells into lethally irradiated recipient mice, and deleted Ezh2 at 4 weeks post-transplantation. To understand how DNA hypermethylation contributed to the development of MDS, we performed Reduced Representation Bisulfite Sequence (RRBS) in Lin- Sca1+ Kit+ (LSK) stem/progenitor cells isolated from WT, Tet2KD/KD, Ezh2Δ/Δ, and Tet2KD/KD Ezh2Δ/Δ mice. Both Tet2 loss and Ezh2 loss caused hypermethylation in CpG islands (CGIs) and promoter regions. However, the impact of Tet2 loss was much evident in the enhancer elements and ~20 % of them underwent hypermethylation upon Tet2 loss. Combined loss of Tet2 and Ezh2 caused hypermethylation in the transcriptional regulatory regions including both the promoter regions and enhancer elements. Importantly, the majority of hyper-differentially methylated regions (hyper-DMRs) in Tet2KD/KD Ezh2Δ/Δ -MDS LSK cells showed a distribution that was distinct from those of single mutant LSK cells and only the hyper-DMRs in the enhancer elements in Tet2KD/KD Ezh2Δ/Δ -MDS LSK cells correlated with a significant reduction in gene expression levels. Hyper-DMRs in MDS LSK cells were significantly enriched in genes involved in transcriptional regulation and cell differentiation by GO analysis. These findings suggest that combined loss of Tet2 and Ezh2 cooperatively remodeled DNA methylation to an extent not observed in either mutant allele alone and contributed to the pathogenesis of MDS. Notably, we found that 375 out of 780 hyper-DMRs in Tet2KD/KD Ezh2Δ/Δ MDS HSPCs were overlapped with DMRs in CD34+ HSPCs in patients with MDS (Maegawa S, et al. Genome Research 2014). We next focused on the 131 genes with hyper-DMRs that showed reduced expression levels in Tet2KD/KD Ezh2Δ/Δ -MDS LSK cells. Those included Gata2, Gata3, Evi1, and Nr4a2. Given that Nr4a2/Nurr1, a nuclear receptor transcription factor, restricts the proliferation of hematopoietic stem cells (HSCs), we transduced WT and Tet2KD/KD Ezh2Δ/Δ HSCs with an Nr4a2 retrovirus in vitro. We found that exogenous Nr4a2 severelyimpairs proliferative capacity of Tet2KD/KD Ezh2Δ/Δ HSCs but moderately that of WT HSCs, implying that MDS HSCs are more susceptible to activation of Nr4a2 compared to WT HSCs. Next, we sought to determine whether DMRs in CGIs were associated with altered histone modifications upon the deletion of Ezh2, we performed chromatin immunoprecipitation (ChIP) sequencing by using H3K27me3 and H3K4me3 antibodies. We defined canonical polycomb repressive complexes 2 (PRC2) targets by >2-fold enrichment of H3K27me3 and bivalent genes by enrichment of both H3K27me3 and H3K4me3 in WT LSK cells. We found that approximately half of the hyper-DMRs in CGIs were enriched in canonical PRC2 targets and bivalent genes in LSK cells of all mutant genotypes. Notably, these hyper-DMRs in PRC2 targets, including bivalent genes, were significantly associated with reduced expression levels only in Tet2KD/KD Ezh2Δ/Δ -MDS LSK cells but not in either single mutant alone. We also observed that these PRC2 targets with hyper-DMRs still retained reduced but higher levels of H3K27me3 compared to the others despite the absence of Ezh2, implying that both DNA hypermethylation and residual H3K27me3 by Ezh1 cooperate to repress the transcription of these genes critical for hematopoiesis. Finally, we examined the impact of decitabine, a demethylating agent in vivo. Although the treatment of decitabine did not improve the survival of Tet2KD/KD Ezh2Δ/Δ -MDS mice, it partly resolved hyper-DMRs at critical genes including Gata2, Gata3, and Nr4a2, followed by a significant elevation in platelets counts in vivo. Taken together, our study unveils the cooperative biological function of aberrant DNA methylation and histone modifications in the pathogenesis of MDS. DisclosuresNakaseko:BMS: Honoraria, Research Funding, Speakers Bureau; Pfizer: Honoraria, Research Funding, Speakers Bureau; Otsuka: Honoraria, Research Funding; Novartis: Honoraria, Research Funding, Speakers Bureau.

Functional and Molecular Consequences of the Dnmt3aR882H Mutation in Acute Myeloid Leukaemia

The de novo DNA Methyltransferase 3A (DNMT3A) gene is one of the most commonly mutated gene in acute myeloid leukaemia with a normal karyotype (AML-NK). Approximately two thirds of mutations are heterozygous and affect codon R882, located within the methytransferase domain. Also, we and others have shown that these mutations occur in a significant proportion of haematologically normal people and behave as leukaemia-initiating changes.DNMT3A mediates the transfer of a methyl group from s-adenosylmethionine (SAM) to the 5' carbon of cytosine residues at CpG dinucleotides. The DNMT3A protein domains bind to unmethylated H3K4, a repressive histone mark, as well as the H3K36Me3 mark associated with active transcription. DNA methylation is linked to histone modifications and DNMT3A binds to class I and II histone deacetylases (HDAC) and histone methyltransferases (HMT), such as SETDB1 and G9a, as well components of Polycomb repressive complex 2 (PRC2).DNMT3AR882H has been reported to exert a dominant-negative effect on wild type (WT) DNMT3A, with a significant reduction of its enzymatic activity. In AML samples, the R882 mutation correlates with global hypomethylation, particularly at CpG islands, shores and promoters, although some promoter hypermethylation has also been reported. However, the molecular mechanism, through which DNMT3AR882H alters methylation to drives leukaemia, remains unknown.In order to understand the molecular and functional consequences of the DNMT3AR882H mutation in leukaemogenesis we developed a mouse model (Dnmt3afloxR882H/+), whereby targeting of the Dnmt3a allele does not inactivate the native locus. This allows conditional expression of the mutant protein within haematopoietic stem and progenitor cells that have developed in the presence of normal levels of Dnmt3a. Dnmt3afloxR882H/+ mice were crossed with mice carrying an interferon-inducible Cre recombinase allele (Mx1-Cre). Upon Cre induction with pIpC the endogenous Dnmt3a exon 23 (last exon), was efficiently replaced by the human exon 23 carrying the R882H mutation. This was confirmed at both the DNA and the RNA level. In order to investigate the molecular effects of Dnmt3aR882H, we analysed pre-leukaemic haematopoietic cells (in mice 5-6 weeks post Cre-induction). We observed that Dnmt3aR882H/+ mutant bone marrow (BM) cells had markedly enhanced self-renewal potential as manifested by increased serial replating in cytokine supplemented methylcellulose media in comparison to WT mice. We next examined the relative haemopoietic reconstitution efficiency of Dnmt3aR882H/+ BM cells in a competitive setting. Dnmt3aR882H/+ BM (CD45.2) cells were mixed with WT competitor BM (CD45.1) cells at a ratio of 1:2 and transplanted into lethally irradiated recipient mice (CD45.1/45.2). The analysis of blood chimerism in recipients indicated an increased contribution from Dnmt3aR882H/+ in comparison to WT cells, indicating the enhanced ability of Dnmt3aR882H/+ BM cells to engraft and reconstitute recipient mice. Currently, we are addressing the role of Dnmt3aR882H in the spontaneous leukaemia development alone as well as in rational combinations with other mutations present in human AML.Additionally, to elucidate the molecular mechanism underlying the striking haematopoietic phenotypes ofDnmt3aR882H/+ we have performed analyses of DNA methylation and hydroxymethylation patterns in the haematopoietic progenitor compartment (lineage negative cell population) of Dnmt3aR882H/+ and WT mice, using reduced representation oxidative bisulfite sequencing (RRoxBS) in the pre-leukaemic setting. Moreover, due to cross-talk between Dnmt3a mediated DNA methylation and other chromatin states, we have analysed Dnmt3aR882H-associated changes in histone tail modifications, using ChIP-Seq. As the DNA and histone modifications associated with Dnmt3aR882H are likely to lead to alter global gene expression, we also performed RNAseq analysis in Dnmt3aR882H/+ and WT mice.Currently, we are conducting an integrated analysis, coupling DNA and histone modifications to aberrant gene expression and Dnmt3aR882H-dependent phenotypes. We predict that this work will provide a detailed understanding of the molecular and cellular effects of DNMT3A-R882H and in so doing reveal rational therapeutic approaches for patients with this common and aggressive subtype of AML. DisclosuresNo relevant conflicts of interest to declare.

Constitutive expression of AhR and BRCA-1 promoter CpG hypermethylation as biomarkers of ERα-negative breast tumorigenesis.

BackgroundOnly 5–10 % of breast cancer cases is linked to germline mutations in the BRCA-1 gene and occurs early in life. Conversely, sporadic breast tumors, which represent 90-95 % of breast malignancies, have lower BRCA-1 expression, but not mutated BRCA-1 gene, and tend to occur later in life in combination with other genetic alterations and/or environmental exposures. The latter may include environmental and dietary factors that activate the aromatic hydrocarbon receptor (AhR). Therefore, understanding if changes in expression and/or activation of the AhR are associated with somatic inactivation of the BRCA-1 gene may provide clues for breast cancer therapy.MethodsWe evaluated Brca-1 CpG promoter methylation and expression in mammary tumors induced in Sprague–Dawley rats with the AhR agonist and mammary carcinogen 7,12-dimethyl-benzo(a)anthracene (DMBA). Also, we tested in human estrogen receptor (ER)α-negative sporadic UACC-3199 and ERα-positive MCF-7 breast cancer cells carrying respectively, hyper- and hypomethylated BRCA-1 gene, if the treatment with the AhR antagonist α-naphthoflavone (αNF) modulated BRCA-1 and ERα expression. Finally, we examined the association between expression of AhR and BRCA-1 promoter CpG methylation in human triple-negative (TNBC), luminal-A (LUM-A), LUM-B, and epidermal growth factor receptor-2 (HER-2)-positive breast tumor samples.ResultsMammary tumors induced with DMBA had reduced BRCA-1 and ERα expression; higher Brca-1 promoter CpG methylation; increased expression of Ahr and its downstream target Cyp1b1; and higher proliferation markers Ccnd1 (cyclin D1) and Cdk4. In human UACC-3199 cells, low BRCA-1 was paralleled by constitutive high AhR expression; the treatment with αNF rescued BRCA-1 and ERα, while enhancing preferential expression of CYP1A1 compared to CYP1B1. Conversely, in MCF-7 cells, αNF antagonized estradiol-dependent activation of BRCA-1 without effects on expression of ERα. TNBC exhibited increased basal AhR and BRCA-1 promoter CpG methylation compared to LUM-A, LUM-B, and HER-2-positive breast tumors.ConclusionsConstitutive AhR expression coupled to BRCA-1 promoter CpG hypermethylation may be predictive markers of ERα-negative breast tumor development. Regimens based on selected AhR modulators (SAhRMs) may be useful for therapy against ERα-negative tumors, and possibly, TNBC with increased AhR and hypermethylated BRCA-1 gene.

Integrated analyses of a major histocompatibility complex, methylation and transcribed ultra-conserved regions in systemic lupus erythematosus.

Systemic lupus erythematosus (SLE) is a multifactorial autoimmune disease which affects different organs and systems that, has a complex genetic inheritance, and is affected by both epigenetic and environmental risk factors. Previous studies on SLE have lacked the statistical power and genetic resolution to fully determine the influence of major histocompatibility complex (MHC) on SLE. In this study, in order to determine this influence, a total of 15 patients with SLE and 15 healthy controls were enrolled. MHC region capture technology, hMeDIP-chip, transcribed ultra-conserved region (T-UCR) microarray and bioinformatics analysis were utilized for both groups. The results revealed methylated CpG enrichment at 6 loci in the MHC segment of SLE. We found 4 single-nucleotide polymorphisms (SNPs) in the CpG promoter of human leukocyte antigen-B (HLA-B) and 2 SNPs in chr6:29521110‑29521833. No significant GO term or KEGG pathway enrichment was noted for an immune-correlated process in the SLE patients for the corresponding CpG-methylated genes. In this study, T-UCR was not discovered in the MHC segment. The analysis of SNPs (rs1050683, rs12697943, rs17881210, rs1065378, rs17184255 and rs16895070) and gene expression in peripheral blood lymphocytes indicated that these SNPs were associated with the occurrence of SLE. Further studies are warranted to examine the roles of these SNPs in the pathogenesis of SLE. Integrative analysis technology provided a view of the molecular signaling pathways in SLE.

Identification of differentially methylated loci using wavelet-based functional mixed models.

DNA methylation is a key epigenetic modification that can modulate gene expression. Over the past decade, a lot of studies have focused on profiling DNA methylation and investigating its alterations in complex diseases such as cancer. While early studies were mostly restricted to CpG islands or promoter regions, recent findings indicate that many of important DNA methylation changes can occur in other regions and DNA methylation needs to be examined on a genome-wide scale. In this article, we apply the wavelet-based functional mixed model methodology to analyze the high-throughput methylation data for identifying differentially methylated loci across the genome. Contrary to many commonly-used methods that model probes independently, this framework accommodates spatial correlations across the genome through basis function modeling as well as correlations between samples through functional random effects, which allows it to be applied to many different settings and potentially leads to more power in detection of differential methylation. We applied this framework to three different high-dimensional methylation data sets (CpG Shore data, THREE data and NIH Roadmap Epigenomics data), studied previously in other works. A simulation study based on CpG Shore data suggested that in terms of detection of differentially methylated loci, this modeling approach using wavelets outperforms analogous approaches modeling the loci as independent. For the THREE data, the method suggests newly detected regions of differential methylation, which were not reported in the original study. Automated software called WFMM is available at https://biostatistics.mdanderson.org/SoftwareDownload CpG Shore data is available at http://rafalab.dfci.harvard.edu NIH Roadmap Epigenomics data is available at http://compbio.mit.edu/roadmap Supplementary data are available at Bioinformatics online. jefmorris@mdanderson.org.

Analysis of gastric cancer tissues genome methylation by DNA methylation chip

To detect the methylation status of gastric cancer tissue genome by DNA methylation chip. Methylation status of 6 samples of gastric cancer tissues and their matched adjacent tissues was analyzed using methylated DNA immunoprecipitation(MeDIP) combined with NibleGen chip. Significantly different methylated genes in promoter region and CpG island between two tissues were searched. Functions of these significantly different methylated genes were analyzed by Gene Ontology and Pathway assays. In gene promoter regions, 113 significantly different methylated genes were identified in gastric cancer tissues, such as SHP1, FGF8 and CSF2RA, while 161 significantly different methylated genes were identified in their matched adjacent tissues, such as TNF, IGF2 and BMP7. In the CpG islands, 123 significantly different methylated genes were identified in gastric cancer tissues, such as WNT2B, JAK2 and TPT1, while 139 significantly different methylated genes were identified in their matched adjacent tissues, such as TNFRSF4, HOXC8 and NFYA. These genes located on different chromosomes. In gastric cancer tissues, the 1st and the 4th chromosomes had the most (both 11), the 18th and the 20th chromosomes had the least(both 1). In matched adjacent normal tissues, the 11th chromosome had the most (17), and no significantly different methylated gene was found on Y chromosome. These genes involved in many functions, such as protein phosphorylation, regulating cellular catabolism, ion transport, enzyme activity, transcriptional regulation, cell division, cell cycle regulation, and signal transduction. There are significant differences between gastric cancer tissues and their matched adjacent tissues in DNA methylation. DNA methylation genes locate on different chromosomes, and their number and distribution vary widely. These genes may be associated with many pathways in carcinogenesis.

Pathway-focused correlation study of genome-wide methylation status with visual memory

OBJECTIVE To explore the biological processes and pathways associated with memory function which may be regulated by gene promoter methylation. METHODS The genome-wide promoter methylation statuses in 9 healthy individuals were analyzed with a Multiplex HG18 CpG Promoter chip. Genes with promoter methylation statuses strongly correlated with both immediate and delayed visual memory function were preceded for pathway and physical interactions analysis. RESULTS Sixty nine genes have been correlated with both immediate and delayed visual memory functions. Twenty two pathways, with a Q-value of < 0.05, were identified by the pathway and physical interactions analysis, which included energy metabolism, axon guidance, tyrosine kinase activity, anterograde synaptic vesicle transport, and leukocyte migration and differentiation. CONCLUSION Pathways related with memory function may be regulated by DNA methylation.

Rare k-mer DNA: Identification of sequence motifs and prediction of CpG island and promoter

Empirical analysis on k-mer DNA has been proven as an effective tool in finding unique patterns in DNA sequences which can lead to the discovery of potential sequence motifs. In an extensive study of empirical k-mer DNA on hundreds of organisms, the researchers found unique multi-modal k-mer spectra occur in the genomes of organisms from the tetrapod clade only which includes all mammals. The multi-modality is caused by the formation of the two lowest modes where k-mers under them are referred as the rare k-mers. The suppression of the two lowest modes (or the rare k-mers) can be attributed to the CG dinucleotide inclusions in them. Apart from that, the rare k-mers are selectively distributed in certain genomic features of CpG Island (CGI), promoter, 5′ UTR, and exon. We correlated the rare k-mers with hundreds of annotated features using several bioinformatic tools, performed further intrinsic rare k-mer analyses within the correlated features, and modeled the elucidated rare k-mer clustering feature into a classifier to predict the correlated CGI and promoter features. Our correlation results show that rare k-mers are highly associated with several annotated features of CGI, promoter, 5′ UTR, and open chromatin regions. Our intrinsic results show that rare k-mers have several unique topological, compositional, and clustering properties in CGI and promoter features. Finally, the performances of our RWC (rare-word clustering) method in predicting the CGI and promoter features are ranked among the top three, in eight of the CGI and promoter evaluations, among eight of the benchmarked datasets.

Interplay of Promoter Usage and Intragenic CpG Content: Impact on GFP Reporter Gene Expression.

Successful therapeutic protein production in vitro and in vivo requires efficient and long-term transgene expression supported by optimized vector and transgene cis-regulatory sequence elements. This study provides a comparative analysis of CpG-rich, highly expressed, versus CpG-depleted, poorly expressed green fluorescent protein (GFP) reporter transgenes, transcribed by various promoters in two different cell systems. Long-term GFP expression from a defined locus in stable Chinese hamster ovary cells was clearly influenced by the combination of transgene CpG content and promoter usage, as shown by differential silencing effects on selection pressure removal among the cytomegalovirus (CMV) promoter and elongation factor (EF)-1α promoter. Whereas a high intragenic CpG content promoted local DNA methylation, CpG depletion rather accelerated transgene loss and increased the local chromatin density. On lentiviral transfer of various expression modules into epigenetically sensitive P19 embryonic pluripotent carcinoma cells, CMV promoter usage led to rapid gene silencing irrespective of the intragenic CpG content. In contrast, EF-1α promoter-controlled constructs showed delayed silencing activity and high-level transgene expression, in particular when the CpG-rich GFP reporter was used. Notably, GFP silencing in P19 cells could be prevented completely by the bidirectional, dual divergently transcribed A2UCOE (ubiquitously acting chromatin-opening element derived from the human HNRPA2B1-CBX3 locus) promoter. Because the level of GFP expression by the A2UCOE promoter was entirely unaffected by the intragenic CpG level, we suggest that A2UCOE can overcome chromatin compaction resulting from intragenic CpG depletion due to its ascribed chromatin-opening abilities. Our analyses provide insights into the interplay of the intragenic CpG content with promoter sequences and regulatory sequence elements, thus contributing toward the design of therapeutic transgene expression cassettes for future gene therapy applications.

Abstract 3825: Whole genome bisulfite sequencing from plasma of patients with metastatic breast cancer identifies putative biomarkers

Abstract Although several improvements in the management of breast cancer(BC) have been made, an estimated 90% of BC related deaths are due to the development of distant metastasis to organs such as lung, bone, liver, and brain. Numerous studies suggest that cell-free (cf)DNA methylation could serve as a useful biomarker for improving clinical management. The objective of our study was to identify novel blood-based biomarkers that can be used to predict BC patients at high risk of distant metastasis. For the first time we performed paired-end whole genome bisulfite sequencing (WGBS) using 15 ng of cf plasma DNA from three pools of samples which included metastatic BC to various organs (M, n = 40), breast cancer free survivors (BCF n = 40) and healthy individuals (H, n = 40). Sequences were aligned using the bismark tool and data analysis was conducted using the R package methylKit to identify base-pair resolution DNA methylation differences between groups. A minimum of 5 reads in each group, delta beta values ≥0.2 and p values&amp;lt;0.001 were considered differentially methylated loci (DML). Overall, the data revealed that H and BCF had very similar plasma methylomes with approximately 1792 DML, compared with 0.8 million and 1.1 million DML between HvsM and BFSvsM, respectively. The M pool had greater overall hypomethylation across the genome, particularly in gene bodies compared with H and BFS. However, M had greater CpG island and promoter hypermethylation compared with H and BFS. The average coverage of CpG loci across the genome was 18, 11 and 9 for M, BFS, and H, respectively indicating that plasma of M samples has greater genomic representation. Among the genes differentially methylated in plasma of M was RUNX3, which was hypomethylated overall in M compared to H and BFS except for one CpG island hotspot, where methylation and number of reads significantly exceeded that of H and BFS. Other genes with similar hotspots were also identified. We validated these data using bisulfite amplicon sequencing (Ion Torrent) in each pool and individual plasma samples. Using the HumanMethylation27K bead array, we analyzed 32 breast brain metastasis (BBM) tumor tissues compared to a series of 50 unmatched early stage BC samples and identified RUNX3 hypermethylation in the same hotspot region as WGBS. Lastly, comparing 25 early stage BC samples with known outcomes of BBM had RUNX3 hotspot hypermethylation compared with samples from patients who were BM-free for greater than 5 years. This suggested that prediction of metastasis may occur at the time of early stage of disease. Together these data identified DNA-methylation hotspots in circulation and tissue that are unique to distant MBC and which could be translated into predictive biomarkers of metastasis. Biomarkers indicating a high-risk population can shift current paradigms by allowing increased surveillance and/or prophylactic therapies aimed at preventing metastasis and improving outcomes. Citation Format: Christophe Legendre, Gerald C. Gooden, Kyle N. Johnson, Rae Anne Martinez, Bodour Salhia. Whole genome bisulfite sequencing from plasma of patients with metastatic breast cancer identifies putative biomarkers. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 3825. doi:10.1158/1538-7445.AM2015-3825

DNA methylation profiling: comparison of genome-wide sequencing methods and the Infinium Human Methylation 450 Bead Chip.

To compare the performance of four sequence-based and one microarray methods for DNA methylation profiling. DNA from two cell lines were profiled by reduced representation bisulfite sequencing, methyl capture sequencing (SS-Meth Seq), NimbleGen SeqCapEpi CpGiant(Nimblegen MethSeq), methylated DNA immunoprecipitation (MeDIP) and the Human Methylation 450 Bead Chip (Meth450K). Despite differences in genome-wide coverage, high correlation and concordance were observed between different methods. Significant overlap of differentially methylated regions was identified between sequenced-based platforms. MeDIP provided the best coverage for the whole genome and gene body regions, while RRBS and Nimblegen MethSeq were superior for CpGs in CpG islands and promoters. Methylation analyses can be achieved by any of the five methods but understanding their differences may better address the research question being posed.

Chronic mild stress and antidepressant treatment alter 5-HT1A receptor expression by modifying DNA methylation of a conserved Sp4 site

The serotonin 1A receptor (5-HT1A), a critical regulator of the brain serotonergic tone, is implicated in major depressive disorder (MDD) where it is often found to be dys-regulated. However, the extent to which stress and antidepressant treatment impact 5-HT1A expression in adults remains unclear. To address this issue, we subjected adult male BALB/c mice to unpredictable chronic mild stress (UCMS) to induce a depression-like phenotype that was reversed by chronic treatment with the antidepressant imipramine. In prefrontal cortex (PFC) and midbrain tissue, UCMS increased 5-HT1A RNA and protein levels, changes that are expected to decrease the brain serotonergic activity. The stress-induced increase in 5-HT1A expression was paralleled by a specific increase in DNA methylation of the conserved −681 CpG promoter site, located within a Sp1-like element. We show that the −681 CpG site is recognized and repressed by Sp4, the predominant neuronal Sp1-like factor and that Sp4-induced repression is attenuated by DNA methylation, despite a stress-induced increase in PFC Sp4 levels. These results indicate that adult life stress induces DNA methylation of a conserved promoter site, antagonizing Sp4 repression to increase 5-HT1A expression. Chronic imipramine treatment fully reversed the UCMS-induced increase in methylation of the −681 CpG site in the PFC but not midbrain of stressed animals and also increased 5-HT1A expression in the PFC of control animals. Incomplete reversal by imipramine of stress-induced changes in 5-HT1A methylation and expression indicates a persistence of stress vulnerability, and that sustained reversal of behavioral impairments may require additional pathways.

CGMD: An integrated database of cancer genes and markers.

Integrating cancer genes and markers with experimental evidence might provide valuable information for the further investigation of crosstalk between tumor genes and markers in cancer biology. To achieve this objective, we developed a database known as the Cancer Gene Marker Database (CGMD), which integrates data on tumor genes and markers based on experimental evidence. The major goal of CGMD is to provide the following: 1) current systematic treatment approaches and recent advances in different cancer treatments; 2) the aggregation of different genes and markers by their molecular characteristics and pathway associations; and 3) free access to the data compiled by CGMD at http://cgmd.in/. The database consists of 309 genes and 206 markers, as well as a list of 40 different human cancers, with detailed descriptions of all characterized markers. CGMD provides complete cancer annotations and molecular descriptions of cancer genes and markers such as CpG islands, promoters, exons, PDB structures, active sites and domains.

DNA methylation profiles in placenta and its association with gestational diabetes mellitus.

Emerging evidences indicate that placenta plays a critical role in gestational diabetes mellitus (GDM). DNA methylation could be associated with altered placental development and functions. This study is to uncover the genome-wide DNA methylation patterns in this disorder. DNA methylation was measured at >385,000 CpG sites using methylated DNA immunoprecipitation (MeDIP) and a huamn CpG island plus promoter microarray. We totally identified 6,641 differentially methylated regions (DMRs) targeting 3,320 genes, of which 2,729 DMRs targeting 1,399 genes, showed significant hypermethylation in GDM relative to the controls, whereas 3,912 DMRs targeting 1,970 genes showed significant hypomethylation. Functional analysis divided these genes into different functional networks, which mainly involved in the pathways of cell growth and death regulation, immune and inflammatory response and nervous system development. In addition, the methylation profiles and expressions of 4 loci (RBP4, GLUT3, Resistin and PPARα) were validated by BSP for their higher log2 ratio and potential functions with energy metabolism. This study demonstrates aberrant patterns of DNA methylation in GDM which may be involved in the pathophysiology of GDM and reflect the fetal development. Future work will assess the potential prognostic and therapeutic value for these findings in GDM.

γ-Glutamyl hydrolase modulation significantly influences global and gene-specific DNA methylation and gene expression in human colon and breast cancer cells.

γ-Glutamyl hydrolase (GGH) plays an important role in folate homeostasis by catalyzing hydrolysis of polyglutamylated folate into monoglutamates. Polyglutamylated folates are better substrates for several enzymes involved in the generation of S-adenosylmethionine, the primary methyl group donor, and hence, GGH modulation may affect DNA methylation. DNA methylation is an important epigenetic determinant in gene expression, in the maintenance of DNA integrity and stability, and in chromatin modifications, and aberrant or dysregulation of DNA methylation has been mechanistically linked to the development of human diseases including cancer. Using a recently developed in vitro model of GGH modulation in HCT116 colon and MDA-MB-435 breast cancer cells, we investigated whether GGH modulation would affect global and gene-specific DNA methylation and whether these alterations were associated with significant gene expression changes. In both cell lines, GGH overexpression decreased global DNA methylation and DNA methyltransferase (DNMT) activity, while GGH inhibition increased global DNA methylation and DNMT activity. Epigenomic and gene expression analyses revealed that GGH modulation influenced CpG promoter DNA methylation and gene expression involved in important biological pathways including cell cycle, cellular development, and cellular growth and proliferation. Some of the observed altered gene expression appeared to be regulated by changes in CpG promoter DNA methylation. Our data suggest that the GGH modulation-induced changes in total intracellular folate concentrations and content of long-chain folylpolyglutamates are associated with functionally significant DNA methylation alterations in several important biological pathways.