MethPat: a tool for the analysis and visualisation of complex methylation patterns obtained by massively parallel sequencing.

BACKGROUND: DNA methylation at a gene promoter region has the potential to regulate gene transcription. Patterns of methylation over multiple CpG sites in a region are often complex and cell type specific, with the region showing multiple allelic patterns in a sample. This complexity is commonly obscured when DNA methylation data is summarised as an average percentage value for each CpG site (or aggregated across CpG sites). True representation of methylation patterns can only be fully characterised by clonal analysis. Deep sequencing provides the ability to investigate clonal DNA methylation patterns in unprecedented detail and scale, enabling the proper characterisation of the heterogeneity of methylation patterns. However, the sheer amount and complexity of sequencing data requires new synoptic approaches to visualise the distribution of allelic patterns. RESULTS: We have developed a new analysis and visualisation software tool "Methpat", that extracts and displays clonal DNA methylation patterns from massively parallel sequencing data aligned using Bismark. Methpat was used to analyse multiplex bisulfite amplicon sequencing on a range of CpG island targets across a panel of human cell lines and primary tissues. Methpat was able to represent the clonal diversity of epialleles analysed at specific gene promoter regions. We also used Methpat to describe epiallelic DNA methylation within the mitochondrial genome. CONCLUSIONS: Methpat can summarise and visualise epiallelic DNA methylation results from targeted amplicon, massively parallel sequencing of bisulfite converted DNA in a compact and interpretable format. Unlike currently available tools, Methpat can visualise the diversity of epiallelic DNA methylation patterns in a sample.

Assessment of DNA methylation profiling and copy number variation as indications of clonal relationship in ipsilateral and contralateral breast cancers to distinguish recurrent breast cancer from a second primary tumour.

BACKGROUND: Patients with breast cancer have an increased risk of developing subsequent breast cancers. It is important to distinguish whether these tumours are de novo or recurrences of the primary tumour in order to guide the appropriate therapy. Our aim was to investigate the use of DNA methylation profiling and array comparative genomic hybridization (aCGH) to determine whether the second tumour is clonally related to the first tumour. METHODS: Methylation-sensitive high-resolution melting was used to screen promoter methylation in a panel of 13 genes reported as methylated in breast cancer (RASSF1A, TWIST1, APC, WIF1, MGMT, MAL, CDH13, RARß, BRCA1, CDH1, CDKN2A, TP73, and GSTP1) in 29 tumour pairs (16 ipsilateral and 13 contralateral). Using the methylation profile of these genes, we employed a Bayesian and an empirical statistical approach to estimate clonal relationship. Copy number alterations were analysed using aCGH on the same set of tumour pairs. RESULTS: There is a higher probability of the second tumour being recurrent in ipsilateral tumours compared with contralateral tumours (38 % versus 8 %; p <0.05) based on the methylation profile. Using previously reported recurrence rates as Bayesian prior probabilities, we classified 69 % of ipsilateral and 15 % of contralateral tumours as recurrent. The inferred clonal relationship results of the tumour pairs were generally concordant between methylation profiling and aCGH. CONCLUSION: Our results show that DNA methylation profiling as well as aCGH have potential as diagnostic tools in improving the clinical decisions to differentiate recurrences from a second de novo tumour.

p75(NTR) induces apoptosis in medulloblastoma cells.

The classic medulloblastoma (CMB) and the desmoplastic medulloblastoma (DMB) subtypes represent the major medulloblastoma variants. In contrast to CMB, DMB display high levels of the low-affinity nerve growth factor receptor p75(NTR) . Given the reports of a better clinical course of DMB, we hypothesized that p75(NTR) might act as a tumor suppressor in medulloblastomas. In a large set of medulloblastomas, p75(NTR) was screened for mutations, and its mRNA expression and the DNA methylation status of its 5'-region were assessed. p75(NTR) immunostainings were performed in wild-type murine cerebella and medulloblastomas arising in patched heterozygous mice, and murine cerebellar granule cell precursors (GCP) were analyzed in vitro. Medulloblastoma cells engineered to express p75(NTR) were characterized flow cytometrically and morphologically. One CMB displayed a mutation of the p75(NTR) coding sequence. p75(NTR) mRNA levels clearly delineated DMB and CMB; however, CpG island hypermethylation was excluded as the cause of low p75(NTR) expression in CMB. Sonic Hedgehog-treated GCP showed elevated p75(NTR) expression, and strong expression of p75(NTR) was detected in the external granule cell layer of wild-type mice and in murine ptc(±) medulloblastomas. CMB cells overexpressing p75(NTR) displayed a significant increase in apoptosis. In summary, our data link activated Hedgehog signaling in DMB with p75(NTR) expression and characterize p75(NTR) as a biologically relevant inductor of apoptosis in MB.

A systematic search for DNA methyltransferase polymorphisms reveals a rare DNMT3L variant associated with subtelomeric hypomethylation.

Causes underlying inter-individual variations in DNA methylation profiles among normal healthy populations are not thoroughly understood. To investigate the contribution of genetic variation in DNA methyltransferase (DNMT) genes to such epigenetic variation, we performed a systematic search for polymorphisms in all known human DNMT genes [DNMT1, DNMT3A, DNMT3B, DNMT3L and DNMT2 (TRDMT1)] in 192 healthy males and females. One hundred and eleven different polymorphisms were detected. Of these, 24 were located in coding regions and 10 resulted in an amino acid change that may affect the corresponding DNMT protein structure or function. Association analysis between all major polymorphisms (frequency > 1%) and quantitative DNA methylation profiles did not return significant results after correction for multiple testing. Polymorphisms leading to an amino acid change were further investigated for changes in global DNA methylation by differential methylation hybridization. This analysis revealed that a rare change at DNMT3L (R271Q) was associated with significant DNA hypomethylation. Biochemical characterization confirmed that DNMT3L(R271Q) is impaired in its ability to stimulate de novo DNA methylation by DNMT3A. Methylated DNA immunoprecipitation based analysis using CpG island microarrays revealed that the hypomethylation in this sample preferentially clustered to subtelomeric genomic regions with affected loci corresponding to a subset of repetitive CpG islands with low predicted promoter potential located outside of genes.

Aberrant DNA methylation but not mutation of CITED4 is associated with alteration of HIF-regulated genes in breast cancer.

CBP/p300-interacting transactivator with ED-rich carboxy-terminal domain 4 (CITED4) inhibits HIF-1α transactivation by binding to CBP/p300. We hypothesised that either somatic mutation or hypermethylation of the CITED4 gene underlies CITED4 down-regulation and thus enhanced HIF-1α expression in some breast tumours. DNA sequencing was used to screen for somatic mutations. Methylation-sensitive high resolution melting was performed to identify CITED4 methylation. RT-qPCR was carried out to measure the expression of CITED4 and selected HIF downstream targets. HIF-1α and downstream gene expression was assessed with immunohistochemistry. No somatic mutations of CITED4 were identified in 10 tumour cell lines and 100 breast carcinomas. However, CITED4 promoter methylation was identified in 5/168 breast carcinomas (four infiltrating ductal carcinomas and one infiltrating lobular carcinoma) and in 3/10 breast cancer cell lines (MDA-MB-453, MDA-MB-231 and Hs578T). CITED4 mRNA expression in cell lines was inversely correlated with DNA methylation. CITED4 mRNA expression was significantly increased in all three cell lines after 5-aza-2-deoxycytidine (DAC) treatment. Treatment of the MDA-MB-231 cell line with DAC followed by hypoxia (0.1% O²) resulted in down-regulation of expression of the HIF-1α downstream genes VEGFA and SLC2A1 (P = 0.0029). HIF-1α downstream SLC2A1 was decreased (P = 0.021) after CITED4 was re-expressed under hypoxia. Loss of expression of CITED4 in breast cancer may be due to DNA methylation but is unlikely to be due to mutation. Demethylation and histone modification can potentially reactivate CITED4 gene expression in some breast cancers and lead to changes in tumour behaviour. Strategies such as HDAC inhibitors may overcome this effect.

A multiplex endpoint RT-PCR assay for quality assessment of RNA extracted from formalin-fixed paraffin-embedded tissues.

BACKGROUND: RNA extracted from formalin-fixed paraffin-embedded (FFPE) samples is chemically modified and degraded, which compromises its use in gene expression studies. Most of the current approaches for RNA quality assessment are not suitable for FFPE derived RNA. RESULTS: We have developed a single-tube multiplex endpoint RT-PCR assay specifically designed to evaluate RNA extracted from FFPE tissues for mRNA integrity and performance in reverse transcription - quantitative real-time PCR (RT-qPCR) assays. This single-tube quality control (QC) assay minimises the amount of RNA used in quality control. mRNA integrity and the suitability of RNA for RT-PCR is evaluated by the multiplex endpoint RT-PCR assay using the TBP gene mRNA as the target sequence. The RT-PCR amplicon sizes, 92, 161, 252 and 300 bp, cover a range of amplicon sizes suitable for a wide range of RT-qPCR assays. The QC assay was used to evaluate RNA prepared by two different protocols for extracting total RNA from needle microdissected FFPE breast tumour samples. The amplification products were analysed by gel electrophoresis where the spectrum of amplicon sizes indicated the level of RNA degradation and thus the suitability of the RNA for PCR. The ability of the multiplex endpoint RT-PCR QC assay to identify FFPE samples with an adequate RNA quality was validated by examining the Cq values of an RT-qPCR assay with an 87 bp amplicon. CONCLUSIONS: The multiplex endpoint RT-PCR assay is well suited for the determination of the quality of FFPE derived RNAs, to identify which RT-PCR assays they are suitable for, and is also applicable to assess non-FFPE RNA for gene expression studies. Furthermore, the assay can also be used for the evaluation of RNA extraction protocols from FFPE samples.

DNA methylation analysis of the HIF-1α prolyl hydroxylase domain genes PHD1, PHD2, PHD3 and the factor inhibiting HIF gene FIH in invasive breast carcinomas.

AIMS: Hypoxia-inducible factor-1 (HIF-1) activity is regulated by prolyl hydroxylase (PHD1, PHD2, PHD3) and factor inhibiting HIF-1 (FIH) that target the α subunit of HIF-1 (HIF-1α) for proteosomal degradation. We hypothesised that the elevated HIF-1α level is due in some tumours to epigenetic silencing by DNA hypermethylation of the promoter region of one or more of the PHDs and FIH genes. The aims were to define the presence or absence of promoter methylation of PHDs and FIH in cell lines of various sources and breast carcinomas and, if present, determine its effect on mRNA and protein expression. METHODS AND RESULTS: Tumour cell lines (n = 20) and primary invasive breast carcinomas (n = 168) were examined for promoter region DNA methylation using methylation-sensitive high-resolution melting. There was evidence of PHD3 but not of PHD1, PHD2 or FIH DNA methylation in breast cancer (SkBr3) and leukaemic (HL60 and CCRF-CEM) cell lines, but there was no evidence of methylation in any of 168 breast cancers. Only the high-level PHD3 methylation seen in leukaemic cell lines correlated with absent mRNA and protein expression. CONCLUSIONS: Methylation-induced epigenetic silencing of PHD1, PHD2, PHD3 and FIH is unlikely to underlie up-regulated HIF-1α expression in human breast cancer but may play a role in other tumour types.

Sensitive Melting Analysis after Real Time- Methylation Specific PCR (SMART-MSP): high-throughput and probe-free quantitative DNA methylation detection.

DNA methylation changes that are recurrent in cancer have generated great interest as potential biomarkers for the early detection and monitoring of cancer. In such situations, essential information is missed if the methylation detection is purely qualitative. We describe a new probe-free quantitative methylation-specific PCR (MSP) assay that incorporates evaluation of the amplicon by high-resolution melting (HRM) analysis. Depending on amplicon design, different types of information can be obtained from the HRM analysis. Much of this information cannot be obtained by electrophoretic analysis. In particular, identification of false positives due to incomplete bisulphite conversion or false priming is possible. Heterogeneous methylation can also be distinguished from homogeneous methylation. As proof of principle, we have developed assays for the promoter regions of the CDH1, DAPK1, CDKN2A (p16(INK4a)) and RARB genes. We show that highly accurate quantification is possible in the range from 100% to 0.1% methylated template when 25 ng of bisulphite-modified DNA is used as a template for PCR. We have named this new approach to quantitative methylation detection, Sensitive Melting Analysis after Real Time (SMART)-MSP.

Quality control of astrocyte-directed Cre transgenic mice: the benefits of a direct link between loss of gene expression and reporter activation.

Cre recombinase activity for cell-type restricted deletion of floxed target genes (i.e., flanked by Cre recognition loxP-sites) is often measured by separate matings with recombination-activated reporter gene mice. Using a floxed Gja1 (Cx43) allele, we demonstrate the benefits of a direct link between reporter gene expression and target gene deletion to overcome critical limitations of the Cre/loxP system. The widely used human glial fibrillary acidic protein (hGFAP)-Cre transgene exhibits variable recombination activity and requires postexperimental validation. Such quality control is essential to correlate the extent of Cre-mediated Gja1 ablation with phenotypical alterations and to maintain the activity status of hGFAP-Cre in transgenic mouse colonies. We present several strategies to control for the fidelity of hGFAP-Cre mediated recombination. (c) 2008 Wiley-Liss, Inc.

Selective inhibition of proliferation in colorectal carcinoma cell lines expressing mutant APC or activated B-Raf.

Tumor-derived cell lines are indispensable tools for understanding the contribution of activated signaling pathways to the cancer phenotype and for the design and testing of targeted signal therapies. In our study, we characterize 10 colorectal carcinoma cell lines for the presence of mutations in the wnt, Ras/MAPK, PI3K and p53 pathways. The mutational spectrum found in this panel of cell lines is similar to that detected in primary CRC, albeit with higher frequency of mutation in the beta-catenin and B-Raf genes. We have monitored activation of the wnt and Ras/MAPK pathways in these cells and analyzed their sensitivity to selective signaling inhibitors. Using beta-catenin subcellular distribution as a marker, we show that cells harboring APC mutations have low-level activated wnt signaling, which can be blocked by the extracellular wnt inhibitor DKK-1, suggesting autocrine activation of this pathway; proliferation of these cells is also blocked by DKK-1. In contrast, cells with beta-catenin mutations are unresponsive to extracellular wnt inhibition. Constitutive phosphorylation of MAPK is present in the majority of the cell lines and correlates with B-Raf but not K-Ras mutations; correspondingly, the proliferation of cells harboring mutations in B-Raf, but not K-Ras, is exquisitely sensitive inhibition of the MAPK pathway. We find no correlation between PI3K mutation or loss of PTEN expression and increased sensitivity to PI3K inhibitors. Our study discloses clear-cut differences in responsiveness to signaling inhibitors between individual mutations within an activated signaling pathway and suggests likely targets for signal-directed therapy of colorectal carcinomas.

CpG island methylation in human lymphocytes is highly correlated with DNA sequence, repeats, and predicted DNA structure.

CpG island methylation plays an important role in epigenetic gene control during mammalian development and is frequently altered in disease situations such as cancer. The majority of CpG islands is normally unmethylated, but a sizeable fraction is prone to become methylated in various cell types and pathological situations. The goal of this study is to show that a computational epigenetics approach can discriminate between CpG islands that are prone to methylation from those that remain unmethylated. We develop a bioinformatics scoring and prediction method on the basis of a set of 1,184 DNA attributes, which refer to sequence, repeats, predicted structure, CpG islands, genes, predicted binding sites, conservation, and single nucleotide polymorphisms. These attributes are scored on 132 CpG islands across the entire human Chromosome 21, whose methylation status was previously established for normal human lymphocytes. Our results show that three groups of DNA attributes, namely certain sequence patterns, specific DNA repeats, and a particular DNA structure, are each highly correlated with CpG island methylation (correlation coefficients of 0.64, 0.66, and 0.49, respectively). We predicted, and subsequently experimentally examined 12 CpG islands from human Chromosome 21 with unknown methylation patterns and found more than 90% of our predictions to be correct. In addition, we applied our prediction method to analyzing Human Epigenome Project methylation data on human Chromosome 6 and again observed high prediction accuracy. In summary, our results suggest that DNA composition of CpG islands (sequence, repeats, and structure) plays a significant role in predisposing CpG islands for DNA methylation. This finding may have a strong impact on our understanding of changes in CpG island methylation in development and disease.

Homologous Recombination DNA Repair Pathway Disruption and Retinoblastoma Protein Loss Are Associated with Exceptional Survival in High-Grade Serous Ovarian Cancer.

Purpose: Women with epithelial ovarian cancer generally have a poor prognosis; however, a subset of patients has an unexpected dramatic and durable response to treatment. We sought to identify clinical, pathological, and molecular determinants of exceptional survival in women with high-grade serous cancer (HGSC), a disease associated with the majority of ovarian cancer deaths.Experimental Design: We evaluated the histories of 2,283 ovarian cancer patients and, after applying stringent clinical and pathological selection criteria, identified 96 with HGSC that represented significant outliers in terms of treatment response and overall survival. Patient samples were characterized immunohistochemically and by genome sequencing.Results: Different patterns of clinical response were seen: long progression-free survival (Long-PFS), multiple objective responses to chemotherapy (Multiple Responder), and/or greater than 10-year overall survival (Long-Term Survivors). Pathogenic germline and somatic mutations in genes involved in homologous recombination (HR) repair were enriched in all three groups relative to a population-based series. However, 29% of 10-year survivors lacked an identifiable HR pathway alteration, and tumors from these patients had increased Ki-67 staining. CD8+ tumor-infiltrating lymphocytes were more commonly present in Long-Term Survivors. RB1 loss was associated with long progression-free and overall survival. HR deficiency and RB1 loss were correlated, and co-occurrence was significantly associated with prolonged survival.Conclusions: There was diversity in the clinical trajectory of exceptional survivors associated with multiple molecular determinants of exceptional outcome in HGSC patients. Concurrent HR deficiency and RB1 loss were associated with favorable outcomes, suggesting that co-occurrence of specific mutations might mediate durable responses in such patients. Clin Cancer Res; 24(3); 569-80. ©2017 AACRSee related commentary by Peng and Mills, p. 508.

Optimization of quantitative MGMT promoter methylation analysis using pyrosequencing and combined bisulfite restriction analysis.

Resistance to chemotherapy is a major complication during treatment of cancer patients. Hypermethylation of the MGMT gene alters DNA repair and is associated with longer survival of glioblastoma patients treated with alkylating agents. Therefore, MGMT promoter methylation plays an important role as a predictive biomarker for chemotherapy resistance. To adopt this established correlation into a molecular diagnosis procedure, we compared and optimized three experimental techniques [combined bisulfite restriction analysis, a primer extension- and denaturing high-performance liquid chromatography-based method named SIRPH (SNuPE ion pair-reverse phase high-performance liquid chromatography), and pyrosequencing] with regard to their accuracy of detecting MGMT promoter methylation. Initially, bisulfite sequencing was used to obtain a comprehensive methylation profile of the MGMT promoter region in 22 glioblastoma samples and in three normal brain controls. Next, we statistically identified CpG sites that best discriminate between methylated and unmethylated MGMT promoters. These results were then used to design optimal combined bisulfite restriction analysis, SIRPH, and pyrosequencing assays for accurate and cost-efficient assessment of MGMT promoter methylation. We compared all three techniques with regard to their reliability and reproducibility on well-characterized tumor samples. The optimized pyrosequencing assay performed best and provides a sensitive, robust, and easy-to-use method for quantitative assessment of MGMT methylation, for both snap-frozen and paraffin-embedded specimens.

Assessing alternative base substitutions at primer CpG sites to optimise unbiased PCR amplification of methylated sequences.

BACKGROUND: Determining the role of DNA methylation in various biological processes is dependent on the accurate representation of often highly complex patterns. Accurate representation is dependent on unbiased PCR amplification post bisulfite modification, regardless of methylation status of any given epiallele. This is highly dependent on primer design. Particular difficulties are raised by the analysis of CpG-rich regions, which are the usual regions of interest. Here, it is often difficult or impossible to avoid placing primers in CpG-free regions, particularly if one wants to target a specific part of a CpG-rich region. This can cause biased amplification of methylated sequences if the C is placed at those positions or to unmethylated sequences if a T is placed at those positions. METHODS: We examined the effect of various base substitutions at the cytosine position of primer CpGs on the representational amplification of templates and also examined the role of the annealing temperature during PCR. These were evaluated using methylation-sensitive high-resolution melting and Pyrosequencing. RESULTS: For a mixture of fully methylated and unmethylated templates, amplification using the C-, C/T (Y-) and inosine-containing primers was biased towards amplification of methylated DNA. The bias towards methylated sequences increased with annealing temperature. Amplification using primers with an A/C/G/T (N) degeneracy at the cytosine positions was not biased at the lowest temperature used but became increasingly biased towards methylated DNA with increased annealing temperature. Using primers matching neither C nor T was in the main unbiased but at the cost of poor PCR amplification efficiency. Primers with abasic sites were also unbiased but could only amplify DNA for one out of the two assays tested. However, with heterogeneous methylation, it appeared that both the primer type and stringency used have a minimal influence on PCR bias. CONCLUSIONS: This is the first comprehensive analysis of base substitutions at CpG sites in primers and their effect on PCR bias for the analysis of DNA methylation. Our findings are relevant to the appropriate design of a wide range of assays, including amplicon-based next-generation sequencing approaches that need to measure DNA methylation.

LRH-1 expression patterns in breast cancer tissues are associated with tumour aggressiveness.

The significance and regulation of liver receptor homologue 1 (LRH-1, NR5A2), a tumour-promoting transcription factor in breast cancer cell lines, is unknown in clinical breast cancers. This study aims to determine LRH-1/NR5A2 expression in breast cancers and relationship with DNA methylation and tumour characteristics. In The Cancer Genome Atlas breast cancer cohort NR5A2 expression was positively associated with intragenic CpG island methylation (1.4-fold expression for fully methylated versus not fully methylated, p=0.01) and inversely associated with promoter CpG island methylation (0.6-fold expression for fully methylated versus not fully methylated, p=0.036). LRH-1 immunohistochemistry of 329 invasive carcinomas and ductal carcinoma in situ (DCIS) was performed. Densely punctate/coarsely granular nuclear reactivity was significantly associated with high tumour grade (p<0.005, p=0.033 in invasive carcinomas and DCIS respectively), negative estrogen receptor status (p=0.008, p=0.038 in overall cohort and invasive carcinomas, respectively), negative progesterone receptor status (p=0.003, p=0.013 in overall cohort and invasive carcinomas, respectively), HER2 amplification (overall cohort p=0.034) and non-luminal intrinsic subtype (p=0.018, p=0.038 in overall cohort and invasive carcinomas, respectively). These significant associations of LRH-1 protein expression with tumour phenotype suggest that LRH-1 is an important indicator of tumour biology in breast cancers and may be useful in risk stratification.

Fc-γ Receptor Polymorphisms, Cetuximab Therapy, and Survival in the NCIC CTG CO.17 Trial of Colorectal Cancer.

PURPOSE: Two germline Fc-γ receptor (FCGR) polymorphisms, rs1801274 [FCGR2A;His(H)131Arg(R)] and rs396991 [FCGR3A;Phe(F)158Val(V)] produce altered proteins through amino acid substitutions; both are reported to be associated with cetuximab-related outcomes. We performed a validation of these polymorphisms in NCIC CTG CO.17, a randomized trial of cetuximab monotherapy in refractory, metastatic colorectal cancer expressing EGFR. EXPERIMENTAL DESIGN: DNA extracted from formalin-fixed paraffin-embedded tissue was genotyped. In addition to log-rank tests, Cox proportional hazard models assessed their relationships with overall (OS) and progression-free survival (PFS), adjusting for clinically important prognostic factors, along with a polymorphism-treatment arm interaction term. RESULTS: Somatic KRAS status was wild-type for exon 2 in 153 (52%) of 293 patients, from whom tumor DNA was available. For FCGR2A H/H, a genotype-treatment interaction for KRAS wild-type patients was observed for OS (P = 0.03). In KRAS wild-type patients carrying FCGR2A H/H, cetuximab (vs. no cetuximab) improved survival substantially, with adjusted HRs (aHR) of 0.36 (OS) and 0.19 (PFS) and absolute benefits of 5.5 months (OS; P = 0.003) and 3.7 months (PFS; P = 0.02). In contrast, patients carrying FCGR2A R alleles (H/R or R/R) had aHRs of only 0.78 (OS; 2.8-month benefit) and 0.53 (PFS; 1.6-month benefit). No relationships were found for rs396991 (FCGR3A). CONCLUSIONS: In the CO.17 trial, cetuximab worked best for patients with KRAS wild-type colorectal cancers carrying FCGR2A H/H genotypes. Significantly lower benefits were observed in patients carrying germline FCGR2A R alleles. Clin Cancer Res; 22(10); 2435-44. ©2016 AACR.

Exemplary multiplex bisulfite amplicon data used to demonstrate the utility of Methpat.

BACKGROUND: DNA methylation is a complex epigenetic marker that can be analyzed using a wide variety of methods. Interpretation and visualization of DNA methylation data can mask complexity in terms of methylation status at each CpG site, cellular heterogeneity of samples and allelic DNA methylation patterns within a given DNA strand. Bisulfite sequencing is considered the gold standard, but visualization of massively parallel sequencing results remains a significant challenge. FINDINGS: We created a program called Methpat that facilitates visualization and interpretation of bisulfite sequencing data generated by massively parallel sequencing. To demonstrate this, we performed multiplex PCR that targeted 48 regions of interest across 86 human samples. The regions selected included known gene promoters associated with cancer, repetitive elements, known imprinted regions and mitochondrial genomic sequences. We interrogated a range of samples including human cell lines, primary tumours and primary tissue samples. Methpat generates two forms of output: a tab-delimited text file for each sample that summarizes DNA methylation patterns and their read counts for each amplicon, and a HTML file that summarizes this data visually. Methpat can be used with publicly available whole genome bisulfite sequencing and reduced representation bisulfite sequencing datasets with sufficient read depths. CONCLUSIONS: Using Methpat, complex DNA methylation data derived from massively parallel sequencing can be summarized and visualized for biological interpretation. By accounting for allelic DNA methylation states and their abundance in a sample, Methpat can unmask the complexity of DNA methylation and yield further biological insight in existing datasets.

Crystal structures of O-acetylated 2-acylamino-2-deoxy-D-galactose derivatives.

The X-ray structures of 1,3,4,6-tetra-O-acetyl-2-deoxy-alpha-D-galactopyranoside derivatives with four different 2-(acylamino) substituents have been determined with Mo K(alpha) radiation at 123 K. The structure of the 2-acetylamino derivative and of its acyl-homologs with a 2-(propanoylamino)-, 2-(butanoylamino)-, and 2-(2-methyl-propanoylamino)-group crystallized in the monoclinic space group C2. The pyranose unit of all compounds has the usual 4C(1) shape. The different orientations of the 6-O-acetyl-groups are discussed. Conformations of the acylamino-group are compared to those found in the crystal structure of N-acetyl-alpha-D-galactosamine.

DNA methylation biomarkers: cancer and beyond.

Biomarkers are naturally-occurring characteristics by which a particular pathological process or disease can be identified or monitored. They can reflect past environmental exposures, predict disease onset or course, or determine a patient's response to therapy. Epigenetic changes are such characteristics, with most epigenetic biomarkers discovered to date based on the epigenetic mark of DNA methylation. Many tissue types are suitable for the discovery of DNA methylation biomarkers including cell-based samples such as blood and tumor material and cell-free DNA samples such as plasma. DNA methylation biomarkers with diagnostic, prognostic and predictive power are already in clinical trials or in a clinical setting for cancer. Outside cancer, strong evidence that complex disease originates in early life is opening up exciting new avenues for the detection of DNA methylation biomarkers for adverse early life environment and for estimation of future disease risk. However, there are a number of limitations to overcome before such biomarkers reach the clinic. Nevertheless, DNA methylation biomarkers have great potential to contribute to personalized medicine throughout life. We review the current state of play for DNA methylation biomarkers, discuss the barriers that must be crossed on the way to implementation in a clinical setting, and predict their future use for human disease.

No evidence for PALB2 methylation in high-grade serous ovarian cancer.

BACKGROUND: High-grade serous ovarian cancers are a distinct histological subtype of ovarian cancer often characterised by a dysfunctional BRCA/Fanconi anaemia (BRCA/FA) pathway, which is critical to the homologous recombination DNA repair machinery. An impaired BRCA/FA pathway sensitises tumours to the treatment with DNA cross-linking agents and to PARP inhibitors. The vast majority of inactivating mutations in the BRCA/FA pathway are in the BRCA1 and BRCA2 genes and occur predominantly in high-grade serous cancer. Another member of the BRCA/FA pathway, PALB2 (FANCN), was reported to have been inactivated by DNA methylation in some sporadic ovarian cancers. We therefore sought to investigate the role of PALB2 methylation in high-grade serous ovarian cancers. FINDING: PALB2 methylation was investigated in 92 high-grade serous ovarian cancer samples using methylation-sensitive high-resolution melting analysis. DNA methylation of PALB2 was not detected in any of the ovarian cancer samples investigated. CONCLUSION: Epigenetic silencing by DNA methylation of PALB2 is not a common event in high-grade serous ovarian cancers.