Improved reporting of DNA methylation data derived from studies of the human placenta

Epigenetic variation is increasingly hypothesized as a mechanism underlying the effect of the in utero environment on long-term postnatal health; however, there is currently little clear data to support this in humans. A number of biological and technical factors provide challenges for the design of clinical epigenetic studies: from the type of cells or tissues that are available to the large range of predicted confounders that may impact findings. The human placenta, in addition to other neonatal tissues and whole blood, is commonly sampled for the study of epigenetic modifications. However there is little conformity for the most appropriate methods for study design, data analysis, and importantly, data interpretation. Here we present general recommendations for the reporting of DNA methylation in biological samples, with specific focus on the placenta. We outline key guidelines for: (1) placental sampling, (2) data analysis and presentation, and (3) interpretation of DNA methylation data. We emphasize the need to consider methodological noise, increase statistical power and to ensure appropriate adjustment for biological covariates. Finally, we highlight that epigenetic changes may be non-pathological and not necessarily translate into disease-associated changes. Improved reporting of DNA methylation data will be critical to identify epigenetic-based effects and to better understand the full phenotypic impact of these widely-reported epigenomic changes.     

Blood-based profiles of DNA methylation predict the underlying distribution of cell types

The potential influence of underlying differences in relative leukocyte distributions in studies involving blood-based profiling of DNA methylation is well recognized and has prompted development of a set of statistical methods for inferring changes in the distribution of white blood cells using DNA methylation signatures. However, the extent to which this methodology can accurately predict cell-type proportions based on blood-derived DNA methylation data in a large-scale epigenome-wide association study (EWAS) has yet to be examined. We used publicly available data deposited in the Gene Expression Omnibus (GEO) database (accession number GSE37008), which consisted of both blood-derived epigenome-wide DNA methylation data assayed using the Illumina Infinium HumanMethylation27 BeadArray and complete blood cell (CBC) counts among a community cohort of 94 non-diseased individuals. Constrained projection (CP) was used to obtain predictions of the proportions of lymphocytes, monocytes and granulocytes for each of the study samples based on their DNA methylation signatures. Our findings demonstrated high consistency between the average CBC-derived and predicted percentage of monocytes and lymphocytes (17.9% and 17.6% for monocytes and 82.1% and 81.4% for lymphocytes), with root mean squared error (rMSE) of 5% and 6%, for monocytes and lymphocytes, respectively. Similarly, there was moderate-high correlation between the CP-predicted and CBC-derived percentages of monocytes and lymphocytes (0.60 and 0.61, respectively), and these results were robust to the number of leukocyte differentially methylated regions (L-DMRs) used for CP prediction. These results serve as further validation of the CP approach and highlight the promise of this technique for EWAS where DNA methylation is profiled using whole-blood genomic DNA.     

Integration of whole-genome DNA methylation data with RNA sequencing data to identify markers for bull fertility

Predicting bull fertility prior to breeding is a current challenge for the dairy industry. The use of molecular biomarkers has been previously assessed. However, the integration of this information has not been performed to extract biologically relevant markers. The goal of this study was to integrate DNA methylation data with previously published RNA-sequencing results in order to identify candidate markers for sire fertility. A total of 1765 differentially methylated cytosines were found between high- and low-fertility sires. Ten genes associated with 11 differentially methylated cytosines were found in a previous study of gene expression between high- and low-fertility sires. Additionally, two of these genes code for proteins found exclusively in bull seminal plasma. Collectively, our results reveal 10 genes that could be used in the future as a panel for predicting bull fertility.     

Comparison of genome-scale DNA methylation profiles in hepatocellular carcinoma by viral status

Hepatocellular carcinoma (HCC) incidence has steadily increased in the US over the past 30 years. Our understanding of epigenetic regulation in HCC is still limited, especially the impact of hepatitis B virus (HBV) or hepatitis C virus (HCV) infection on aberrant DNA methylation. We performed genome-wide DNA methylation profiling in 33 fresh frozen tumor samples, including 10 HBV-HCC, 13 HCV-HCC, and 10 non-infected (NIV-HCC) using the Illumina HumanMethylation450 BeadChip. Gene expression profiling was also performed using the Illumina whole-genome DASL HT Assay. Biological influences and gene networks of the differentially-methylated (DM) CpG loci were predicted using the Ingenuity Pathway Analysis. Genome-wide methylation analysis identified 7, 26, and 98 DM loci between HBV-HCC vs. HCV-HCC, HBV-HCC vs. NIV-HCC, and HCV-HCC vs. NIV-HCC, respectively, at P < 5 × 10^?5 for each. Overall, the DM loci were highly enriched for enhancers (48%), promoters (37%), or CpG islands and surrounding regions (37%). Most DM loci were hypermethylated in HCV-HCC compared to HBV-HCC or NIV-HCC. The DM loci were associated with a variety of biological functions including Cell Morphology (HBV-HCC vs. NIV-HCC), Cell Death/ Survival (HBV-HCC vs. NIV-HCC), or Cellular Growth and Proliferation (HCV-HCC vs. NIV-HCC). A subset of the DM loci were correlated (either positively or negatively) with their gene expression or associated with alcohol consumption, BMI, cirrhosis, diabetes, and cigarette smoking. Our findings of differential methylation by viral infection lend insights into the potential effects of viral infection on the epigenetic regulation and further the development and progression of HCC.     

DNA methylation levels in porcine fetal fibroblasts induced by an inhibitor of methylation, 5-azacytidine

Removal of the somatic DNA methylation pattern from donor cells and remodeling of embryonic status have been suggested as integral processes for successful nuclear transfer (NT) reprogramming. This study has investigated the effects of 5-azacytidine (5-azaC), a DNA methylation inhibitor, on global methylation changes in porcine fetal fibroblasts (PFF); this may improve NT attributable to the potential reprogramming of the methyl groups. PFF in 5th passage cultures were treated with 0, 0.5, 1.0, 2.0, and 3.0 μM 5-azaC for 96 h; 5-azaC inhibited the growth at all tested concentrations. At the higher concentrations of 5-azaC used, cells appeared to exhibit morphological changes and to become apoptotic as observed by TUNEL assay. Thus, cells were negatively affected by 5-azaC. Differences in cellular ploidy were also observed at higher concentrations. Analysis showed no considerable changes in the proportion of cells at the G₁-phase of the cell cycle with 5-azaC concentrations. The fractional part of the methylated DNA of these cells was significantly reduced by 5-azaC treatment. Confocal microscopy confirmed the inhibition of methylation levels in PFF with increased concentrations of 5-azaC. Exposure to 5-azaC altered the expression of genes involved in imprinting (IGF2) or pro-apoptosis (BAX), whereas there was a reduction in the expression of the main enzyme responsible for replicating the DNA methylation pattern (DNMT1) and anti-apoptosis (BCL2L1). Therefore, 5-azaC induces a relative reduction in methylation in PFF, and cells treated with 0.5 μM 5-azaC may have enhanced potential for porcine NT.The financial support of BioGreen 21 (grant no. 100052004002000) and KOSEF (grant no. R05-2004-000-10702-0) in Korea is gratefully acknowledged.     

Robust prediction of gene regulation in colorectal cancer tissues from DNA methylation profiles

DNA methylation is recognized as one of several epigenetic regulators of gene expression and as potential driver of carcinogenesis through gene-silencing of tumor suppressors and activation of oncogenes. However, abnormal methylation, even of promoter regions, does not necessarily alter gene expression levels, especially if the gene is already silenced, leaving the exact mechanisms of methylation unanswered. Using a large cohort of matching DNA methylation and gene expression samples of colorectal cancer (CRC; n = 77) and normal adjacent mucosa tissues (n = 108), we investigated the regulatory role of methylation on gene expression. We show that on a subset of genes enriched in common cancer pathways, methylation is significantly associated with gene regulation through gene-specific mechanisms. We built two classification models to infer gene regulation in CRC from methylation differences of tumor and normal tissues, taking into account both gene-silencing and gene-activation effects through hyper- and hypo-methylation of CpGs. The classification models result in high prediction performances in both training and independent CRC testing cohorts (0.92<AUC<0.97) as well as in individual patient data (average AUC = 0.82), suggesting a robust interplay between methylation and gene regulation. Validation analysis in other cancerous tissues resulted in lower prediction performances (0.69<AUC<0.90); however, it identified genes that share robust dependencies across cancerous tissues. In conclusion, we present a robust classification approach that predicts the gene-specific regulation through DNA methylation in CRC tissues with possible transition to different cancer entities. Furthermore, we present HMGA1 as consistently associated with methylation across cancers, suggesting a potential candidate for DNA methylation targeting cancer therapy.     

Patterns of DNA methylation in the normal colon vary by anatomical location,gender, and age

Alterations in DNA methylation have been proposed to create a field cancerization state in the colon, where molecular alterations that predispose cells to transformation occur in histologically normal tissue. However, our understanding of the role of DNA methylation in field cancerization is limited by an incomplete characterization of the methylation state of the normal colon. In order to determine the colon’s normal methylation state, we extracted DNA from normal colon biopsies from the rectum, sigmoid, transverse, and ascending colon and assessed the methylation status of the DNA by pyrosequencing candidate loci as well as with HumanMethylation450 arrays. We found that methylation levels of repetitive elements LINE-1 and SAT-α showed minimal variability throughout the colon in contrast to other loci. Promoter methylation of EVL was highest in the rectum and progressively lower in the proximal segments, whereas ESR1 methylation was higher in older individuals. Genome-wide methylation analysis of normal DNA revealed 8388, 82, and 93 differentially methylated loci that distinguished right from left colon, males from females, and older vs. younger individuals, respectively. Although variability in methylation between biopsies and among different colon segments was minimal for repetitive elements, analyses of specific cancer-related genes as well as a genome-wide methylation analysis demonstrated differential methylation based on colon location, individual age, and gender. These studies advance our knowledge regarding the variation of DNA methylation in the normal colon, a prerequisite for future studies aimed at understanding methylation differences indicative of a colon field effect.     

Patterns of DNA methylation in the normal colon vary by anatomical location,gender, and age

Alterations in DNA methylation have been proposed to create a field cancerization state in the colon, where molecular alterations that predispose cells to transformation occur in histologically normal tissue. However, our understanding of the role of DNA methylation in field cancerization is limited by an incomplete characterization of the methylation state of the normal colon. In order to determine the colon’s normal methylation state, we extracted DNA from normal colon biopsies from the rectum, sigmoid, transverse, and ascending colon and assessed the methylation status of the DNA by pyrosequencing candidate loci as well as with HumanMethylation450 arrays. We found that methylation levels of repetitive elements LINE-1 and SAT-α showed minimal variability throughout the colon in contrast to other loci. Promoter methylation of EVL was highest in the rectum and progressively lower in the proximal segments, whereas ESR1 methylation was higher in older individuals. Genome-wide methylation analysis of normal DNA revealed 8388, 82, and 93 differentially methylated loci that distinguished right from left colon, males from females, and older vs. younger individuals, respectively. Although variability in methylation between biopsies and among different colon segments was minimal for repetitive elements, analyses of specific cancer-related genes as well as a genome-wide methylation analysis demonstrated differential methylation based on colon location, individual age, and gender. These studies advance our knowledge regarding the variation of DNA methylation in the normal colon, a prerequisite for future studies aimed at understanding methylation differences indicative of a colon field effect.     

Methylation-dependent fragment separation: direct detection of DNA methylation by capillary electrophoresis of PCR products from bisulfite-converted genomic DNA

Fundamental to understanding the role of cytosine (C) methylation in genomic DNA (gDNA) is the need for robust analysis methods to determine the location and degree of this modification. We report a novel method for methylation detection by denaturing capillary electrophoresis (CE) using standard fragment analysis conditions. Bisulfite treatment of gDNA will selectively deaminate C but not 5-methylcytosine (5mC). Amplicons generated from bisulfite-converted gDNA are analyzed immediately after PCR using a 6-carboxy fluorescein (6-FAM) dye-labeled primer. The amplicons from methylated and unmethylated gDNA separate based solely on base composition due to the presence of multiple C versus thymine (T) differences. By direct detection of PCR amplicons following PCR using primers that anneal independent of methylation status, the overall workflow from gDNA sample input to data analysis is relatively simple. Furthermore, the same PCR product is suitable for additional analyses such as direct sequencing, cloning and sequencing, single-base extension, and post-PCR incorporation of a modified dCTP, the latter of which allows resolution of amplicons with as little as a single C/T difference. We show the utility of this novel CE detection assay by analyzing the hypermethylated region of the fragile-X FMR1 locus.     

Characterization of DNA methylation in the rat

In the rat, differentiation and cell proliferation both affect DNA methylation. We studied 5-methylcytosine at the inner cytosine of the sequence C-C-G-G, a common methylation site, using endonuclease MspI (which cleaves C-C-G-G- and C-^mC-G-G), and its isoschizomer HpaII (which cleaves only C-C-G-G). DNA from all tissues and cell lines studied was methylated at C-C-G-G, at levels ranging from 45 to 80%, but the methylation sites were not distributed uniformly. Our analysis suggests a model in which cells contain variable amounts of three DNA methylation states, averaging 30–40, 70–80 and 95–100% methylation, respectively. One biological parameter that alters methylation is the prolferative state of the cell. We observed that NRK, a non-transformed cell line, increased its DNA methylation from 45 to 67% when monolayer cultures became confluent and non-dividing. We also observed that a class of repetitive DNA was completely methylated in DNA from all sources except a transformed cell line.     

Somatic embryo development in carrot is associated with an increase in levels of S-adenosylmethionine,S-adenosylhomocysteine and DNA methylation

Almost homogeneous populations representing different developmental stages of somatic embryos (globular, torpedo-shaped, plantlets) and vacuolated cells were obtained from a cell suspension culture of carrot. The concentrations of S-adenosylmethionine (SAM), S-adenosylhomocysteine (SAH) and methylated DNA were determined in embryos at different developmental stages and were found to increase during somatic embryogenesis. The highest increase during embryogenesis was a 5-fold increase in the level of SAM. A considerable increase in the methylation index (SAM/SAH ratio) was also found. We propose that the levels of SAM and SAH may be involved in the control of somatic embryogenesis by affecting the level of DNA methylation, which in turn might cause differential changes in gene activation. An increase in the level of SAM may be a prerequisite for progression of embryogenesis and the development of complete embryos.     

Differential DNA methylation between two wing phenotypes adults of Sogatella furcifera

Sogatella furcifera is a major rice pest with wing dimorphism . DNA methylation is an important epigenetic modification that plays a role in gene regulation and phenotype variation in most organisms. The objective of the current research was to survey the frequencies and variation of cytosine methylation at CCGG sequences in macropterous female adults (MFA) and brachypterous female adults (BFA) of S. furcifera, and to determine the occurrence of methylation changes associated with wing phenotypes by using methylation‐sensitive amplification polymorphism (MSAP). No differences were found in the average proportions of methylated CCGG sites between MFA and BFA, but there were significant differences for methylation patterns between MFA and BFA. The fully methylated ratio was 5.81% in BFA, much higher than 2.40% in MFA; while the hemi‐methylated ratio was 4.35% in BFA, much lower than 8.35% in MFA. These results provide circumstantial evidence that DNA methylation might be related to wing phenotype variation in S. furcifera. We also cloned and got 14 satisfactory sequences, which displayed variable cytosine methylation patterns between MFA and BFA. All these data will facilitate the researches on the epigenetic mechanisms of insect wing polymorphism. genesis 51:819–826. © 2013 Wiley Periodicals, Inc.