Methylation profiling using degenerated oligonucleotide primer-PCR specific for genome-wide amplification of bisulfite-modified DNA

DNA methylation is one of the essential epigenetic processes that play a role in regulating gene expression. Aberrant methylation of CpG-rich promoter regions has been associated with many forms of human cancers. The current method for determining the methylation status relies mainly on bisulfite treatment of genomic DNA, followed by methylation-specific PCR (MSP). The difficulty in acquiring a methylation profiling often is limited by the amount of genomic DNA that can be recovered from a given sample, whereas complex procedures of bisulfite treatment further compromise the effective template for PCR analysis. To circumvent these obstacles, we developed degenerated oligonucleotide primer (DOP)-PCR to enable amplification of bisulfite-modified genomic DNA at a genome-wide scale. A DOP pair was specially designed as follows: first 3' DOP, CTCGAGCTGHHHHHAACTAC, where H is a mixture of base consisting of 50% A, 25% T, and 25% C; and second 5' DOP, CTCGAGCTGDDDDDGTTTAG, where D is a mixture of base consisting of 50% T, 25% G, and 25% A. Our results showed that bisulfite-modified DNAs from a cell line, cord blood cells, or cells obtained by laser capture microdissection were amplified by up to 1000-fold using this method. Subsequent MSP analysis using these amplified DNAs on nine randomly selected cancer-related genes revealed that the methylation status of these genes remained identical to that derived from the original unamplified template.     

Microarray-based methylation analysis using dual-color fluorescence hybridization

BACKGROUND: Aberrant DNA methylation of CpG sites is among the earliest and most frequent alterations in cancer. It is of great importance to develop simple, high-throughput and quantitative methods for methylation detection. METHODS: A high-throughput methylation analysis method has been developed based on microarray and dual-color fluorescence hybridization. The genomic DNA was treated with bisulfite, resulting in conversion of non-methylated cytosine, but not methylated cytosine, into uracil within CpG islands of interest. PCR products of the treated genomic templates were spotted and immobilized onto a poly-l-lysine coated glass slide to fabricate a microarray and then interrogated by hybridization with dual-color probes to determine the methylation status. The hybridized signals were obtained with a scanner and the results were analyzed with the software Genepix Pro 3.0. RESULTS: The methylation status of the CpG islands of IGFBP7 gene has been successfully evaluated by the microarray method for twenty-seven samples. All the investigated samples, including twenty human breast tumor tissues, six corresponding normal human breast tissues and one liver cell line, all CpG sites were found completely methylated. CONCLUSIONS: The microarray technology has been proven to have potential for high-throughput detection of the methylation status for a given gene in multi-genomic samples, which could be a novel approach for rapidly screening DNA methylation marker for early stage cancer diagnosis.     

LUMA (LUminometric Methylation Assay)--a high throughput method to the analysis of genomic DNA methylation

Changes in genomic DNA methylation are recognized as important events in normal and pathological cellular processes, contributing both to normal development and differentiation as well as cancer and other diseases. Here, we report a novel method to estimate genome-wide DNA methylation, referred to as LUminometric Methylation Assay (LUMA). The method is based on combined DNA cleavage by methylation-sensitive restriction enzymes and polymerase extension assay by Pyrosequencing. The method is quantitative, highly reproducible and easy to scale up. Since no primary modification of genomic DNA, such as bisulfite treatment, is needed, the total assay time is only 6 h. In addition, the assay requires only 200-500 ng of genomic DNA and incorporates an internal control to eliminate the problem of varying amounts of starting DNA. The accuracy and linearity of LUMA were verified by in vitro methylated lambda DNA. In addition, DNA methylation levels were assessed by LUMA in DNA methyltransferase knock-out cell lines and after treatment with the DNA methyltransferase inhibitor (5-AzaCytidine). The LUMA assay may provide a useful method to analyze genome-wide DNA methylation for a variety of physiological and pathological conditions including etiologic, diagnostic and prognostic aspects of cancer.     

Detection method for methylation density on microarray using methyl-CpG-binding domain protein

A method for determining methylation density of target CpG islands has been established. In the method, DNA microarray was prepared by spotting a set of PCR products amplified from bisulfite-converted sample DNAs. The PCR products on the microarray were treated by SssI methyltransferase and labeled with TAMRA fluorescence. A recombinant, antibody-like methyl-CpG-binding protein labeled with Cy5 fluorescence was used to identify symmetrical methyl-CpG dinucleotide of the PCR products on the microarray. By use of a standard curve with control mixtures, the ratio of two fluorescence signals can be converted into percentage values to assess methylation density of targeted fragments. We obtained the methylation density of six CpG islands on the two tumor suppressor genes of CDK2A and CDK2B from seven cancer cell line samples and two normal blood samples. The validity of this method was tested by bisulfite sequencing. This method not only allows the quantitative analysis of regional methylation density of a set of given genes but also could provide information of methylation density for a large amount of clinical samples.     

Screening for and analysis of methylation differences using methylation-sensitive single-strand conformation analysis

Methylation-sensitive single-strand conformation analysis (MS-SSCA) is a method of screening for methylation changes at CpG sites in a region of DNA. After bisulfite modification, the region of interest is amplified using primers specific for bisulfite-modified sequences. The amplified products are denatured and run on a nondenaturing polyacrylamide gel. The sequence differences caused by methylation lead to the formation of different secondary structures (conformers) with different mobilities. MS-SSCA is a convenient and rapid method for screening large numbers of samples for methylation. Individual bands can readily be isolated and sequenced allowing more detailed analysis of methylation changes. In this article, we present a protocol for MS-SSCA and outline strategies for the design of primers for amplifying bisulfite-modified DNA sequences.     

MBD-isolated Genome Sequencing provides a high-throughput and comprehensive survey of DNA methylation in the human genome

DNA methylation is an epigenetic modification involved in both normal developmental processes and disease states through the modulation of gene expression and the maintenance of genomic organization. Conventional methods of DNA methylation analysis, such as bisulfite sequencing, methylation sensitive restriction enzyme digestion and array-based detection techniques, have major limitations that impede high-throughput genome-wide analysis. We describe a novel technique, MBD-isolated Genome Sequencing (MiGS), which combines precipitation of methylated DNA by recombinant methyl-CpG binding domain of MBD2 protein and sequencing of the isolated DNA by a massively parallel sequencer. We utilized MiGS to study three isogenic cancer cell lines with varying degrees of DNA methylation. We successfully detected previously known methylated regions in these cells and identified hundreds of novel methylated regions. This technique is highly specific and sensitive and can be applied to any biological settings to identify differentially methylated regions at the genomic scale.     

DNA methylation analysis by digital bisulfite genomic sequencing and digital MethyLight

Alterations in cytosine-5 DNA methylation are frequently observed in most types of human cancer. Although assays utilizing PCR amplification of bisulfite-converted DNA are widely employed to analyze these DNA methylation alterations, they are generally limited in throughput capacity, detection sensitivity, and or resolution. Digital PCR, in which a DNA sample is analyzed in distributive fashion over multiple reaction chambers, allows for enumeration of discrete template DNA molecules, as well as sequestration of non-specific primer annealing templates into negative chambers, thereby increasing the signal-to-noise ratio in positive chambers. Here, we have applied digital PCR technology to bisulfite-converted DNA for single-molecule high-resolution DNA methylation analysis and for increased sensitivity DNA methylation detection. We developed digital bisulfite genomic DNA sequencing to efficiently determine single-basepair DNA methylation patterns on single-molecule DNA templates without an interim cloning step. We also developed digital MethyLight, which surpasses traditional MethyLight in detection sensitivity and quantitative accuracy for low quantities of DNA. Using digital MethyLight, we identified single-molecule, cancer-specific DNA hypermethylation events in the CpG islands of RUNX3, CLDN5 and FOXE1 present in plasma samples from breast cancer patients.     

Droplet digital PCR is an accurate method to assess methylation status on FFPE samples

Most tissue samples available for cancer research are archived as formalin-fixed paraffin-embedded (FFPE) samples. However, the fixation process and the long storage duration lead to DNA fragmentation and hinder epigenome analysis. The use of droplet digital PCR (ddPCR) to detect DNA methylation has recently emerged. In this study, we compare an optimized ddPCR assay with a conventional qPCR assay by targeting a dilution series of control DNA. In addition, we compare the ddPCR technology with results from Infinium arrays targeting two separate CpG sites on a set of colon adenoma FFPE samples. Our data demonstrate that qPCR and ddPCR assess methylation status equally well on dilution controls with a high DNA input. However, the methylation detection on low-input samples is more accurate using ddPCR. The proposed primer design (methylation-independent primers with amplification of solely the converted DNA target) will allow for methylation detection, independent of bisulfite conversion efficiency. Those data show that ddPCR can be used for methylation analysis on FFPE samples with a wide range of DNA input and that the precision of the assay depends largely on the total amount of amplifiable DNA fragments. Due to accessibility of the ddPCR technology and its accuracy on high- as well as low-DNA input samples, we propose the use of this approach for studies involving degraded FFPE samples.     

Archived Guthrie blood spots as a novel source for quantitative DNA methylation analysis

Sodium bisulfite treatment followed by PCR and DNA sequencing is widely considered the gold standard for the analysis of DNA methylation patterns. However, this technique generally requires substantial quantities of genomic DNA as starting material and is often associated with degradation of DNA. Here, we assess the feasibility of performing bisulfite sequencing on DNA isolated from 3-mm diameter punches of dried blood Guthrie spots. We demonstrate that it is possible to perform bisulfite sequencing from both freshly prepared and archived dried blood spots, using a combination of high purity DNA extraction and efficient bisulfite conversion. With the number of new technologies available for DNA methylation studies, we have extended this analysis and have successfully used a high-throughput mass spectrometry method for DNA methylation analysis on these samples. This provides a new source of material for epigenetic analysis of birth samples and provides an invaluable reference point to track temporal change in epigenetic profiles possibly linked with health and disease.     

The recently suggested intestinal cancer stem cell marker DCLK1 is an epigenetic biomarker for colorectal cancer

Recently, Dclk1 expression was identified to be an intestinal cancer stem cell specific biomarker in mouse models, implicating a potential role for targeting the DCLK1-postive cancer cells as a treatment for colorectal cancer. Using quantitative methylation specific PCR (qMSP) we here demonstrated that the DCLK1 promoter is hypermethylated in the vast majority of colorectal cancers (134/164; 82%), with no methylation in the normal mucosa samples (0/106). We further showed by Affymetrix exon arrays that DCLK1 is significantly downregulated in human colorectal cancer (n = 125) compared with normal colonic mucosa (n = 15), which was further confirmed by real-time RT-PCR of a subgroup of the samples. Additionally, a significant negative correlation was observed between methylation and DCLK1 expression in 74 cancer cell lines derived from 15 different tissues, and gene expression increased significantly after epigenetic drug treatment of initially methylated cancer cell lines. These findings underscore the potential of DCLK1 as a colorectal cancer biomarker for early detection, but may also have clinical implications regarding the previously proposed therapy toward DCLK1-positive cancer cells. This therapy would at best affect the cancer stem cell population, but will, based on the present results, not be efficient to treat the bulk of the tumor.     

A reassessment of semiquantitative analytical procedures for DNA methylation: comparison of bisulfite- and HpaII polymerase-chain-reaction-based methods

Two techniques in particular are used to study site-specific DNA methylation: genomic sequencing after bisulfite modification and polymerase chain reaction after digestion by a methylation-sensitive endonuclease (usually HpaII). Only the former methodology assesses the methylation status of all the cytosine residues in the DNA sequence, but it is so complex and time consuming that the latter procedure, though limited to the restriction sites recognized by the endonuclease(s) used, is often preferred at least for a first analysis. In this work we investigate differences between these two techniques in the assessment of DNA methylation and offer some suggestions on how to avoid uncorrected results. Although there is substantial accordance in the results obtained using these different techniques, we observed a general overestimate for methylation levels above 30% and a general underestimate for methylation levels below this value using the HpaII/PCR technique in the study of methylation of the 5'-flanking region of the mouse myogenin gene in cultured muscle cells and mouse tissues.     

Microsoft Word macro for analysis of cytosine methylation by the bisulfite deamination reaction

Cytosine methylation at CpG dinucleotides is an important control mechanism in development, differentiation, and neoplasia. Bisulfite genomic sequencing and its modifications have been developed to examine methylation at these CpG dinucleotides. To use these methods, one has to (i) manually convert the sequence to that produced by bisulfite conversion and PCR amplification, taking into account that cytosine residues at CpG dinucleotides may or may not be converted depending on their methylation status, (ii) identify relevant restriction sites that may be used for methylation analysis, and (iii) conduct similar steps with the other DNA strand since the two strands of DNA are no longer complementary after bisulfite conversion. To automate these steps, we have developed a macro that can be used with Microsoft Word. This macro (i) converts genomic sequence to modified sequence that would result after bisulfite treatment facilitating primer design for bisulfite genomic sequencing and methylation-sensitive PCR assay and (ii) identifies restriction sites that are preserved in bisulfite-converted and PCR-amplified product only if cytosine residues at relevant CpG dinucleotides are methylated (and thereby not converted to uracil) in the genomic DNA.     

Hi-Meth：特定位点DNA甲基化高通量检测平台

胞嘧啶甲基化是DNA表观遗传修饰的主要类型之一,在维持正常细胞功能和调控基因表达中具有重要作用。重亚硫酸盐测序法(bisulfite sequencing PCR,BSP)是特异性位点DNA甲基化检测的通用方法,能明确目的片段中每一个CpG位点的甲基化状态,但此方法需要大量的单克隆测序,操作过程较繁琐、成本昂贵。因此,开发准确、高效、便捷的DNA甲基化检测技术对提升表观遗传研究效率具有重要意义。基于本课题组开发的高通量突变类型检测平台Hi-TOM (high-throughput tracking of mutations),我们进一步建立了特定位点DNA甲基化高通量检测平台Hi-Meth (high-throughput detection of DNA methylation)。DNA样品通过重亚硫酸盐处理之后,仅需一轮PCR扩增即可通过Hi-Meth平台获得特定位点DNA甲基化分析结果。利用Hi-Meth平台,对水稻不同基因启动子区域进行了DNA甲基化检测分析,并与基于BSP方法获得的结果进行了比较。结果表明,Hi-Meth策略与BSP策略检测结果基本一致。而且通过Hi-Meth平台可以更准确、便捷地获得特异性位点DNA甲基化分析结果。综上所述,Hi-Meth为特定DNA区域提供了重要的甲基化检测平台,对表观遗传研究具有重要意义。     

p16INK4a and p14ARF methylation as a potential biomarker for human bladder cancer

Promoter hypermethylation is one of the putative mechanisms underlying the inactivation of negative cell-cycle regulators. We examined whether the methylation status of p16(INK4a) and p14(ARF), genes located upstream of the RB and p53 pathway, is a useful biomarker for the staging, clinical outcome, and prognosis of human bladder cancer. Using methylation-specific PCR (MSP), we examined the methylation status of p16(INK4a) and p14(ARF) in 64 samples from 45 bladder cancer patients (34 males, 11 females). In 19 patients with recurrent bladder cancer, we examined paired tissue samples from their primary and recurrent tumors. The methylation status of representative samples was confirmed by bisulfite DNA sequencing analysis. The median follow-up duration was 34.3 months (range 27.0-100.1 months). The methylation rate for p16(INK4a) and p14(ARF) was 17.8% and 31.1%, respectively, in the 45 patients. The incidence of p16(INKa) and p14(ARF) methylation was significantly higher in patients with invasive (>or=pT2) than superficial bladder cancer (pT1) (p=0.006 and p=0.001, respectively). No MSP bands for p16(INK4a) and p14(ARF) were detected in the 8 patients with superficial, non-recurrent tumors. In 19 patients with tumor recurrence, the p16(INK4a) and p14(ARF) methylation status of the primary and recurrent tumors was similar. Of the 22 patients who had undergone cystectomy, 8 (36.4%) manifested p16(INKa) methylation; p16(INK4a) was not methylated in 23 patients without cystectomy (p=0.002). Kaplan-Meier analysis revealed that patients with p14(ARF) methylation had a significantly poorer prognosis than those without (p=0.029). This is the first study indicating that MSP analysis of p16(INK4a) and p14(ARF) genes is a useful biomarker for the pathological stage, clinical outcome, and prognosis of patients with bladder cancer.     

High density DNA methylation array with single CpG site resolution

We have developed a new generation of genome-wide DNA methylation BeadChip which allows high-throughput methylation profiling of the human genome. The new high density BeadChip can assay over 480K CpG sites and analyze twelve samples in parallel. The innovative content includes coverage of 99% of RefSeq genes with multiple probes per gene, 96% of CpG islands from the UCSC database, CpG island shores and additional content selected from whole-genome bisulfite sequencing data and input from DNA methylation experts. The well-characterized Infinium® Assay is used for analysis of CpG methylation using bisulfite-converted genomic DNA. We applied this technology to analyze DNA methylation in normal and tumor DNA samples and compared results with whole-genome bisulfite sequencing (WGBS) data obtained for the same samples. Highly comparable DNA methylation profiles were generated by the array and sequencing methods (average R² of 0.95). The ability to determine genome-wide methylation patterns will rapidly advance methylation research.     

Quantitative DNA methylation analysis based on four-dye trace data from direct sequencing of PCR amplificates

MOTIVATION: Methylation of cytosines in DNA plays an important role in the regulation of gene expression, and the analysis of methylation patterns is fundamental for the understanding of cell differentiation, aging processes, diseases and cancer development. Such analysis has been limited, because technologies for detailed and efficient high-throughput studies have not been available. We have developed a novel quantitative methylation analysis algorithm and workflow based on direct DNA sequencing of PCR products from bisulfite-treated DNA with high-throughput sequencing machines. This technology is a prerequisite for success of the Human Epigenome Project, the first large genome-wide sequencing study for DNA methylation in many different tissues. Methylation in tissue samples which are compositions of different cells is a quantitative information represented by cytosine/thymine proportions after bisulfite conversion of unmethylated cytosines to uracil and PCR. Calculation of quantitative methylation information from base proportions represented by different dye signals in four-dye sequencing trace files needs a specific algorithm handling imbalanced and overscaled signals, incomplete conversion, quality problems and basecaller artifacts. RESULTS: The algorithm we developed has several key properties: it analyzes trace files from PCR products of bisulfite-treated DNA sequenced directly on ABI machines; it yields quantitative methylation measurements for individual cytosine positions after alignment with genomic reference sequences, signal normalization and estimation of effectiveness of bisulfite treatment; it works in a fully automated pipeline including data quality monitoring; it is efficient and avoids the usual cost of multiple sequencing runs on subclones to estimate DNA methylation. The power of our new algorithm is demonstrated with data from two test systems based on mixtures with known base compositions and defined methylation. In addition, the applicability is proven by identifying CpGs that are differentially methylated in real tissue samples.     

MethylScreen: DNA methylation density monitoring using quantitative PCR

Aberrant gene silencing of genes through cytosine methylation has been demonstrated during the development of many types of cancers including prostate cancer Several genes including GSTP1 have been shown to be methylated in prostate cancer leading to the suggestion and demonstration that methylation status of such genes could be used as cancer diagnosis markers alone or in support of histology. We developed a bisulfite-free alternative, MethylScreen technology, an assay for DNA methylation detection utilizing combined restriction from both methylation-sensitive restriction enzymes (MSRE) and methylation-dependent restriction enzymes (MDRE). MethylScreen was used to analyze the 5' region of GSTP1 in cell lines, in vitro methylated DNA populations, and flash-frozen tissue samples in an effort to characterize the output and analytical performance characteristics of the assay. The output from the quantitative PCR assay suggested that it could not only detect fully methylated molecules in a mixed population below the 1% level, but it could also quantify the abundance of intermediately methylated molecules. Interestingly, the interpreted output from the four quantitative PCRs closely resembled the molecular population as described by clone-based bisulfite genomic sequencing.     

Methylation-sensitive single-nucleotide primer extension (Ms-SNuPE) for quantitative measurement of DNA methylation

Methylation-sensitive single-nucleotide primer extension (Ms-SNuPE) is a technique that can be used for rapid quantitation of methylation at individual CpG sites. Treatment of genomic DNA with sodium bisulfite is used to convert unmethylated Cytosine to Uracil while leaving 5-methylcytosine unaltered. Strand-specific PCR is performed to generate a DNA template for quantitative methylation analysis using Ms-SNuPE. SNuPE is then performed with oligonucleotide(s) designed to hybridize immediately upstream of the CpG site(s) being interrogated. Reaction products are electrophoresed on polyacrylamide gels for visualization and quantitation by phosphorimage analysis. The Ms-SNuPE technique is similar to other quantitative assays that use bisulfite treatment of genomic DNA to discriminate unmethylated from methylated Cytosines (i.e., COBRA, pyrosequencing). Ms-SNuPE can be used for high-throughput methylation analysis and rapid quantitation of Cytosine methylation suitable for a wide range of biological investigations, such as checking aberrant methylation changes during tumorigenesis, monitoring methylation changes induced by DNA methylation inhibitors or for measuring hemimethylation. Approximately two to four CpG sites can be interrogated in up to 40 samples by Ms-SNuPE in less than 5 h, after PCR amplification of the desired target sequence and preparation of PCR amplicons.     

DNA甲基化分析中重亚硫酸盐处理DNA转化效率的评估方法

为建立一种评估重亚硫酸盐处理DNA样本后胞嘧啶转化效率的有效方法,以两组不同的TaqMan qPCR检测梯度稀释的重亚硫酸盐处理和未处理的DNA标准品,建立转化与未转化的DNA Ct值以及对应的DNA拷贝数的标准曲线。使用相同的探针定量检测重亚硫酸盐处理后的DNA样本评估转化效率。结果显示该方法应用两组探针,根据相应的标准曲线,精确评估样本经重亚硫酸盐处理的转化效率。使用已知转化和未转化拷贝数的混合DNA作为模板,证实了该方法的可靠性。同时也对不同重亚硫酸盐试剂盒处理DNA的转化效率进行了评估,结果显示,该方法能够有效地评估DNA样品重亚硫酸盐的转化效率,为DNA甲基化准确分析提供了可靠快捷的方法。     

CpG_MPs: identification of CpG methylation patterns of genomic regions from high-throughput bisulfite sequencing data

High-throughput bisulfite sequencing is widely used to measure cytosine methylation at single-base resolution in eukaryotes. It permits systems-level analysis of genomic methylation patterns associated with gene expression and chromatin structure. However, methods for large-scale identification of methylation patterns from bisulfite sequencing are lacking. We developed a comprehensive tool, CpG_MPs, for identification and analysis of the methylation patterns of genomic regions from bisulfite sequencing data. CpG_MPs first normalizes bisulfite sequencing reads into methylation level of CpGs. Then it identifies unmethylated and methylated regions using the methylation status of neighboring CpGs by hotspot extension algorithm without knowledge of pre-defined regions. Furthermore, the conservatively and differentially methylated regions across paired or multiple samples (cells or tissues) are identified by combining a combinatorial algorithm with Shannon entropy. CpG_MPs identified large amounts of genomic regions with different methylation patterns across five human bisulfite sequencing data during cellular differentiation. Different sequence features and significantly cell-specific methylation patterns were observed. These potentially functional regions form candidate regions for functional analysis of DNA methylation during cellular differentiation. CpG_MPs is the first user-friendly tool for identifying methylation patterns of genomic regions from bisulfite sequencing data, permitting further investigation of the biological functions of genome-scale methylation patterns.