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.     

Both hypomethylation and hypermethylation in a 0.2-kb region of a DNA repeat in cancer

NBL2 is a tandem 1.4-kb DNA repeat, whose hypomethylation in hepatocellular carcinomas was shown previously to be an independent predictor of disease progression. Here, we examined methylation of all cytosine residues in a 0.2-kb subregion of NBL2 in ovarian carcinomas, Wilms' tumors, and diverse control tissues by hairpin-bisulfite PCR. This new genomic sequencing method detects 5-methylcytosine on covalently linked complementary strands of a DNA fragment. All DNA clones from normal somatic tissues displayed symmetrical methylation at seven CpG positions and no methylation or only hemimethylation at two others. Unexpectedly, 56% of cancer DNA clones had decreased methylation at some normally methylated CpG sites as well as increased methylation at one or both of the normally unmethylated sites. All 146 DNA clones from 10 cancers could be distinguished from all 91 somatic control clones by assessing methylation changes at three of these CpG sites. The special involvement of DNA methyltransferase 3B in NBL2 methylation was indicated by analysis of cells from immunodeficiency, centromeric region instability, and facial anomalies syndrome patients who have mutations in the gene encoding DNA methyltransferase 3B. Blot hybridization of 33 cancer DNAs digested with CpG methylation-sensitive enzymes confirmed that NBL2 arrays are unusually susceptible to cancer-linked hypermethylation and hypomethylation, consistent with our novel genomic sequencing findings. The combined Southern blot and genomic sequencing data indicate that some of the cancer-linked alterations in CpG methylation are occurring with considerable sequence specificity. NBL2 is an attractive candidate for an epigenetic cancer marker and for elucidating the nature of epigenetic changes in cancer.     

High-throughput assay of DNA methylation based on methylation-specific primer and SAGE

Mapping of genomic DNA methylation is a dispensable part of functional genome. We have developed a novel method based on methylation-specific primer and serial analysis of gene expression, called MSP-SAGE, with potential of high-throughput quantification of genomic DNA methylation. We used a 6-mer methylation-specific primer to extend the methylated CpG sequences other than non-methylated CpG sequences. The 17 bp tags contained methylated CpG sequence, which were obtained from extended methylation sequence by digestion of restriction endonuclease, and then the tags were concatenated and cloned for sequencing. We can identify the locations of methylation according to the sequences of tags and quantify the methylation status from the frequency of the tags. MSP-SAGE has a good linearity in a broad methylation range from 5% to 100% with good accuracy and high precision. The proof-of-principle study shows that MSP-SAGE is a reliable high-throughput assay for quantification of DNA methylation.     

Methylation assay by nucleotide incorporation: a quantitative assay for regional CpG methylation density

Although the aberrant methylation in CpG islands is of great interest as a causative role in human malignancies, it has been very difficult to accurately determine methylation density. Here we report a novel microplate-based quantitative methylation assay, designated MANIC, for a region containing a number of CpG sites based on incorporation of hapten-labeled dCTP at cytosine sites where the methylated cytosines have not been converted to uracil by the bisulfite treatment. Validation using control DNAs revealed that the method was sensitive enough to detect < 1.25% methylated DNA and that calibration curve was linear. With this approach, we determined relative methylation density of O6-methylguanine-DNA methyltransferase gene promoter containing 12 CpG sites among the 12 colorectal cancers and corresponding normal mucosal tissues. Consequently, MANIC showed a high concordance with results by a quantitative method, bisulfite PCR single-stranded conformational polymorphism (BiPS). MANIC is a technique that avoids cumbersome procedures such as electrophoresis or the use of radiolabeling and is applicable to any sequence regardless of the total number of CpG sites or heterogeneity in methylation status.     

High-throughput method for detecting DNA methylation

Aberrant DNA methylation of CpG site is among the earliest and most frequent alterations in cancer. Detection of promoter hypermethylation of cancer-related gene may be useful for cancer diagnosis or the detection of recurrence. However, most of the studies have focused on a single gene only and gave little information about the concurrent methylation status of multiple genes. In this study, we attempted to develop a microarray method coupled with linker-PCR for detecting methylation status of multiple genes in the tumor tissue. A series of synthesized oligonucleotides were synthesised and purified to completely match with 16 investigated targets. Then they were immobilized on the aldehyde-coated glass slide to fabricate a DNA microarray for detecting methylation status of these genes. The results indicated that these genes were all methylated in the positive control. However, no methylated was found in these genes for the negative control. Only p16 and p15 genes were methylated in investigated genes for the gastric tumor tissue, whereas others were not methylated. The above results were validated by bisulfite DNA sequencing. Our experiments successfully demonstrated that the DNA microarray could be applied as a high-throughput tool to determine methylation status of the investigated genes.     

A novel sperm-specific hypomethylation sequence is a demethylation hotspot in human hepatocellular carcinomas.

Certain human DNA regions are strikingly undermethylated at CpG sites in sperm compared to adult somatic tissues. These sperm-specific hypomethylation sequences are thought to function early in embryogenesis or gametogenesis. By using the restriction landmark genomic scanning (RLGS) cloning method, we have isolated a novel sperm-specific hypomethylation sequence, the status of which changes during spermatogenesis, embryonal growth and differentiation. This sequence is a part of a new 'NotI repeat' consisting of a 1.4 kb repetitive unit sequence named DE-1. The sequence is GC-rich and has high homology to a CpG DNA clone that was isolated by a methyl CpG protein binding column, indicating that it was normally highly methylated. We investigated the methylation status of this sequence. In the normal genome the sequence was methylated, but in the human hepatocellular carcinoma (HCC) genome, the target sequence was demethylated at the cytosine residue of the CpG dinucleotides with high frequency (75% in the previous study). These data suggest that this regional DNA hypomethylation may play a role in both cell differentiation and hepatocarcinogenesis.     

Heterogeneity and randomness of DNA methylation patterns in human embryonic stem cells

DNA methylation has been proposed to be important in many biological processes and is the subject of intense study. Traditional bisulfite genomic sequencing allows detailed high-resolution methylation pattern analysis of each molecule with haplotype information across a few hundred bases at each locus, but lacks the capacity to gather voluminous data. Although recent technological developments are aimed at assessing DNA methylation patterns in a high-throughput manner across the genome, the haplotype information cannot be accurately assembled when the sequencing reads are short or when each hybridization target only includes one or two cytosine-phosphate-guanine (CpG) sites. Whether a distinct and nonrandom DNA methylation pattern is present at a given locus is difficult to discern without the haplotype information, and the DNA methylation patterns are much less apparent because the data are often obtained only as methylation frequencies at each CpG site with some of these methods. It would facilitate the interpretation of data obtained from high-throughput bisulfite sequencing if the loci with nonrandom DNA methylation patterns could be distinguished from those that are randomly methylated. In this study, we carried out traditional genomic bisulfite sequencing using the normal diploid human embryonic stem (hES) cell lines, and utilized Hamming distance analysis to evaluate the existence of a distinct and nonrandom DNA methylation pattern at each locus studied. Our findings suggest that Hamming distance is a simple, quick, and useful tool to identify loci with nonrandom DNA methylation patterns and may be utilized to discern links between biological changes and DNA methylation patterns in the high-throughput bisulfite sequencing data sets.     

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.     

Quantitative methylation analysis using methylation-sensitive single-nucleotide primer extension (Ms-SNuPE)

Methylation-sensitive single-nucleotide primer extension (Ms-SNuPE) is a technique that allows for rapid and simultaneous quantitation of the degree of methylation at several CpG sites. Treatment of genomic DNA with sodium bisulfite is used to convert unmethylated cytosine to uracil while leaving 5-methylcytosine unchanged. A strand-specific polymerase chain reaction product is then generated to provide a suitable DNA template for quantitative methylation analysis using Ms-SNuPE. Single-nucleotide primer extension is performed with oligonucleotide(s) designed to hybridize immediately upstream of the CpG site(s) being analyzed. The Ms-SNuPE technique can be adapted for high-throughput methylation analysis and therefore represents a novel approach for rapid quantitation of cytosine methylation suitable for a wide range of biological investigations.     

利用甲基化特异性引物高通量检测DNA甲基化

建立一种基于甲基化特异性引物和SAGE技术的高通量DNA甲基化定量检测新方法（MSP-SAGE）,首先利用亚硫酸氢钠对基因组DNA进行处理,使未甲基化的C转变为U,而甲基化的CpG不变.将处理和未处理的DNA双链变性后用随机引物PNNNNCG对存在含有CG的单链进行延伸,而无甲基化CG的单链处则不能延伸;将差异延伸的单链序列和频次信息经过系列分子操作后,引入PCR扩增模板;对中间带有未知序列的PCR扩增产物进行串连克隆测序.将来自于未处理组和处理组的某一CpG位点的序列出现的次数定义为［Tags］A和［Tags］B,将标准系列的实际甲基化水平和［Tags］B/［Tags］A之间建立线性回归方程.根据每一CpG位点的［Tags］B/［Tags］A比值可反推该位点的甲基化水平.MSP-SAGE具有良好的线性,基于标准系列的［Tags］B/［Tags］A与其实际甲基化水平的标准曲线方程为y＝1.455x（R²＝0.984,P<0.01）.MSP-SAGE的回收率在95%到110%之间,精确度位于4.2％和10.5%,检测限在3％左右,单次检测通量可达24个CpG位点.MSP-SAGE是一种很有应用前途的高通量DNA甲基化定量检测方法.     

Bisulfite-modified target DNA array for aberrant methylation analysis

Aberrant DNA methylation of CpG islands is among the earliest and most frequent alterations in cancer. It is of great importance to develop simple and high-throughput methods of methylation analysis for earlier cancer diagnosis or the detection of recurrence. In this study, bisulfite-modified target DNA arrays were prepared on positively charged nylon membrane with two different procedures: fixing PCR products and fixing genomic DNA. First, a bisulfite PCR product array was prepared through fixing PCR products amplified in bisulfite sequencing primers from the bisulfite-modified genomic DNA of different clinical samples on membrane. Furthermore, bisulfite-modified genomic DNA of the different samples was directly fixed on membrane to fabricate bisulfite genomic DNA arrays. The two kinds of arrays were hybridized by probes labeled with digoxigenin, and the hybridization signals were obtained through chemiluminescent detection. The methylation statuses of the IGFBP7 gene for breast tumor and normal tissue samples and for normal human blood cell samples were detected successfully by the two procedures. It was shown that the methods are reliable and sensitive and that they have high potential in screening molecular methylation markers from a large number of clinical samples.     

The DeltauvrB mutations in the Ames strains of Salmonella span 15 to 119 genes

The lacI transgene used in the Big Blue (BB) mouse and rat mutation assays typically displays spontaneous mutation frequencies in the 5x10(-5) range. Recently, the bone marrow and bladder of the Big Blue rat were reported to have, by an order of magnitude, the lowest spontaneous mutation frequencies ever observed for lacI in a transgenic animal, approaching the value for endogenous targets such as hprt ( approximately 10(-6)). Since spontaneous mutations in transgenes have been attributed in part to deamination of 5-methylcytosine in CpG sequences, we have investigated the methylation status of the lacI transgene in bone marrow of BB rats and compared it to that present in other tissues including liver, spleen, and breast. The first 400 bases of the lacI gene were investigated using bisulfite genomic sequencing since this region contains the majority of both spontaneous and induced mutations. Surprisingly, all the CpG cytosines in the lacI sequence were fully methylated in all the tissues examined from both 2- and 14-week-old rats. Thus, there is no correlation between 5-methylcytosine content at CpG sites in lacI and the frequency of spontaneous mutation at this marker. We also investigated the methylation status of another widely used transgenic mutation target, the cII gene. The CpG sites in cII in BB rats were fully methylated while those in BB mice were partially methylated (each site approximately 50% methylated). Since spontaneous mutation frequency at cII is comparable in rat and mouse, the methylation status of CpG sequences in this gene also does not correlate with spontaneous frequency. We conclude that other mechanisms besides spontaneous deamination of 5-methylcytosine at CpG sites are driving spontaneous mutation at BB transgenic loci.