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Results for “DNA Methylation Detection”

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PubMed1999

A sensitive new method for rapid detection of abnormal methylation patterns in global DNA and within CpG islands.

To assess alterations in DNA methylation density in both global DNA and within CpG islands, we have developed a simple method based on the use of methylation-sensitive restriction endonucleases that leave a 5' guanine overhang after DNA cleavage, with subsequent single nucleotide extension with radiolabeled [(3)H]dCTP. The methylation-sensitive restriction enzymes HpaII and AciI have relatively frequent recognition sequences at CpG sites that occur randomly throughout the genome. BssHII is a methylation sensitive enzyme that similarly leaves a guanine overhang, but the recognition sequence is nonrandom and occurs predominantly at unmethylated CpG sites within CpG islands. The selective use of these enzymes can be used to screen for alterations in genome-wide methylation and CpG island methylation status, respectively. The extent of [(3)H]dCTP incorporation opposite the exposed guanine after restriction enzyme treatment is directly proportional to the number of unmethylated (cleaved) CpG sites. The "cytosine-extension assay" has several advantages over existing methods because (a) radiolabel incorporation is independent of the integrity of the DNA, (b) methylation detection does not require PCR amplification or DNA methylase reactions, and (c) it is applicable to ng quantities of DNA. Using DNA extracted from normal human liver and from human hepatocellular carcinoma, the applicability of the assay is demonstrated by the detection of an increase in genome-wide hypomethylation and CpG island hypermethylation in the tumor DNA.

Carcinoma, Hepatocellular↗

PubMed1986

Transcriptional and post-transcriptional regulation of soybean seed protein mRNA levels.

We investigated soybean seed protein gene transcription during development. We found that seed protein genes are transcriptionally activated and then repressed during embryogenesis and that these genes are either inactive or transcribed at low levels in the mature plant. We further observed that genes encoding mRNAs with vastly different prevalences are transcribed at similar rates. DNA gel blot studies showed that transcriptionally active and inactive seed protein genes have indistinguishable methylation patterns. We conclude that both transcriptional and posttranscriptional processes regulate seed protein mRNA levels in the absence of detectable DNA methylation changes.

Journal Article↗

PubMed2004

Methylation-specific oligonucleotide microarray.

The methylation-specific oligonucleotide (MSO) microarray is a high-throughput approach capable of detecting DNA methylation in genes across several CpG sites. Based on the bisulfite modification of DNA that converts unmethylated cytosines to uracil but leaves the 5'methylcytosine intact, the method utilizes short oligonucleotides corresponding to the methylated and unmethylated alleles as probes affixed on solid support and products amplified from bisulfite-treated DNA as targets for hybridization. MSO is suitable for examining a panel of genes across multiple clinical samples. This approach can generate a robust dataset for discovering profiles of gene methylation in cancer with aberrant DNA methylation in the neoplastic genome and widespread hypermethylation in tumor suppressor genes. MSO and other oligonucleotide-based arrays have been applied successfully for analyses of single genes and have been useful in delineating and predicting tumor subgroups using clustering methods. Here we focus on design criteria important to the interrogation of multiple CpG sites across several genes.

DNA Methylation↗

PubMed1998

Direct visualization of site-specific and strand-specific DNA methylation patterns in automated DNA sequencing data.

We report here a simple method of directly visualizing in automated DNA sequencing chromatograms DNA methylations of different types including cytosine methylations in Hpa II and dcm sites as well as adenine methylations in dam sites. This is made possible by the observation that the extent of incorporation of fluorescently labeled dideoxynucleotides is influenced by the methylated bases in template DNA. This simple approach involves routine automated DNA sequencing without any prior treatment of DNA specific for detecting DNA methylation.

Adenine↗

PubMed1991

Evidence of absence of Trypanosoma cruzi kinetoplast DNA methylation by restriction endonuclease analysis.

Eight kinetoplast DNA samples from very different T. cruzi zymodemes were digested with the isoschizomer group of enzymes (MspI-HpaII) and (MboI-Sau 3AI), able to detect DNA methylation on cytidine and adenine for the CCGG and GATC sequences, respectively. Restriction digestion analysis of each kDNA with both isoschizomer groups of enzymes did not display a different profile suggesting that maxicircles and minicircles on this trypanosomatid are not methylated.

Animals↗

PubMed2005

CpG island hypermethylation profiling of lung cancer using restriction landmark genomic scanning (RLGS) analysis.

Lung cancer remains the leading cause of cancer related mortality, accounting for almost one-third of cancer deaths in men and one-fourth of cancer deaths in women; 160,440 lung cancer deaths are expected in 2004. Survival from lung cancer depends mainly upon the stage at presentation. As localized tumors generally do not cause symptoms, the disease is usually diagnosed in symptomatic patients at advanced stages when the prognosis is poor. As a result, the overall 5-year lung cancer survival rate is only 15%. It is well known that epigenetic alterations such as DNA methylation of CpG dinucleotides located in CpG islands within the regulatory (promoter) regions of genes are associated with transcriptional silencing in cancer. Promoter hypermethylation of critical pathway genes could identify potential biomarkers for lung cancer risk. Our goal for this study is to identify novel hypermethylated genes in lung cancer. We have investigated the methylation profiles of DNA samples from 14 paired lung tumor and adjacent normal tissues resected from the same individuals using restriction landmark genomic scanning (RLGS). We could assess the DNA methylation status of an average of 2,012 CpG islands for each tumor. We identified 162 differentially methylated loci where CpG islands were hypermethylated in lung tumors but not in adjacent non-cancer tissues. Among 162 sites of differential DNA methylation, detected from at least one tumor/normal pair, 21 hypermethylated genes were identified that were not reported previously as hypermethylated in lung tumor tissue.

Adenocarcinoma↗

PubMed1995

The fission yeast gene pmt1+ encodes a DNA methyltransferase homologue.

DNA methylation of cytosine residues is a widespread phenomenon and has been implicated in a number of biological processes in both prokaryotes and eukaryotes. This methylation occurs at the 5-position of cytosine and is catalyzed by a distinct family of conserved enzymes, the cytosine-5 methyltransferases (m5C-MTases). We have cloned a fission yeast gene pmt1+ (pombe methyltransferase) which encodes a protein that shares significant homology with both prokaryotic and eukaryotic m5C-MTases. All 10 conserved domains found in these enzymes are present in the pmt1 protein. This is the first m5C-MTase homologue cloned from a fungal species. Its presence is surprising, given the inability to detect DNA methylation in yeasts. Haploid cells lacking the pmt1+ gene are viable, indicating that pmt1+ is not an essential gene. Purified, bacterially produced pmt1 protein does not possess obvious methyltransferase activity in vitro. Thus the biological significance of the m5C-MTase homologue in fission yeast is currently unclear.

Amino Acid Sequence↗

PubMed2025

N6-methyladenine identification using deep learning and discriminative feature integration.

N6-methyladenine (6 mA) is a pivotal DNA modification that plays a crucial role in epigenetic regulation, gene expression, and various biological processes. With advancements in sequencing technologies and computational biology, there is an increasing focus on developing accurate methods for 6 mA site identification to enhance early detection and understand its biological significance. Despite the rapid progress of machine learning in bioinformatics, accurately detecting 6 mA sites remains a challenge due to the limited generalizability and efficiency of existing approaches. In this study, we present Deep-N6mA, a novel Deep Neural Network (DNN) model incorporating optimal hybrid features for precise 6 mA site identification. The proposed framework captures complex patterns from DNA sequences through a comprehensive feature extraction process, leveraging k-mer, Dinucleotide-based Cross Covariance (DCC), Trinucleotide-based Auto Covariance (TAC), Pseudo Single Nucleotide Composition (PseSNC), Pseudo Dinucleotide Composition (PseDNC), and Pseudo Trinucleotide Composition (PseTNC). To optimize computational efficiency and eliminate irrelevant or noisy features, an unsupervised Principal Component Analysis (PCA) algorithm is employed, ensuring the selection of the most informative features. A multilayer DNN serves as the classification algorithm to identify N6-methyladenine sites accurately. The robustness and generalizability of Deep-N6mA were rigorously validated using fivefold cross-validation on two benchmark datasets. Experimental results reveal that Deep-N6mA achieves an average accuracy of 97.70% on the F. vesca dataset and 95.75% on the R. chinensis dataset, outperforming existing methods by 4.12% and 4.55%, respectively. These findings underscore the effectiveness of Deep-N6mA as a reliable tool for early 6 mA site detection, contributing to epigenetic research and advancing the field of computational biology.

Deep Learning↗

PubMed1986

Comparative studies on hepatic DNA alkylation in rats by N-nitrosomethylethylamine and N-nitrosodimethylamine plus N-nitrosodiethylamine.

The purpose of this study was to determine whether quantitative differences in hepatic DNA methylation or ethylation are sufficient to explain differences in the carcinogenicity of N-nitrosomethylethylamine (NMEA), N-nitrosodimethylamine (NDMA), and N-nitrosodiethylamine (NDEA). Methylation and ethylation of hepatic DNA were determined in male Fischer 344 rats following a single IP dose of NMEA, NDMA, NDEA or an equimolar mixture of NDMA plus NDEA. The total nitrosamine dose ranged from 0.05 to 0.25 mmol/kg. After 5 h survival, hepatic DNA was extracted by adsorption onto hydroxyapatite. Acid hydrolysates were analyzed by cation exchange HPLC with fluorescence detection. DNA methylation by NMEA (170 mumol O6-methylguanine/mol guanine at 0.1 mmol/kg) was comparable to that observed in animals given an equimolar mixture of NDMA plus NDEA, indicating that NMEA is one-half as effective a methylating agent as NDMA. In contrast, the amount of ethylation by NMEA (5.9 mumol O6-methylguanine/mol guanine at 0.1 mmol/kg) was approximately 4 times less than that observed in animals treated with an equimolar mixture of NDMA and NDEA. The presence of NDEA had little effect on DNA methylation by NDMA, suggesting that neither synergism nor competition occurs in the simultaneous activation of these two nitrosamines. The role of beta-hydroxylation of NMEA as a metabolic pathway that reduces the extent of DNA ethylation is discussed.

Alkylation↗

PubMed1996

Activation of a yeast pseudo DNA methyltransferase by deletion of a single amino acid.

The biological methylation cytosine bases in DNA is central to such diverse phenomena as restriction and modification in bacteria, repeat induced point-mutation (RIPing) in fungi and for programming gene expression patterns in vertebrates. Structural studies on HhaI DNA methyltransferase, together with the sequence comparisons of around 40 cytosine-specific DNA methyltransferases, have recently provided a molecular framework for understanding the mechanism of action of the related group of enzymes that catalyse this base modification. There are, however, a number of organisms, including Saccharomyces cerevisiae, Schizosaccharomyces pombe and Drosophila melanogaster, which have no detectable DNA methylation. Here we report that the product of the pmt1 gene recently identified in S. pombe, which contains most of the primary structure elements of a typical cytosine-specific DNA methyltransferase, is catalytically inert owing to the insertion of a Ser residue between the Pro-Cys motif found at the active site of all such DNA methyltransferases. Following deletion of this Ser residue, catalytic activity is restored and, using a range of DNA binding experiments, it is shown that the enzyme recognises and methylates the sequence CC(A/T)GG, the same sequence that is modified by the product of the Escherichia coli dcm gene. The pmt gene of S. pombe therefore encodes a pseudo DNA methyltranferase, which we have called psiM.SpoI.

Base Sequence↗

PubMed2006

Illumina universal bead arrays.

This chapter describes an accurate, scalable, and flexible microarray technology. It includes a miniaturized array platform where each individual feature is quality controlled and a versatile assay that can be adapted for various genetic analyses, such as single nucleotide polymorphism genotyping, DNA methylation detection, and gene expression profiling. This chapter describes the concept of the BeadArray technology, two different Array of Arrays formats, the assay scheme and protocol, the performance of the system, and its use in large-scale genetic, epigenetic, and expression studies.

Animals↗

PubMed2006

Detection of fecal DNA methylation for colorectal neoplasia: does it lead to an optimal screening test?

Aberrant promoter methylation, an 'epigenetic' form of genomic instability that leads to transcriptional silencing of tumor suppressor genes, is increasingly being recognized as a crucial component in the evolution of human cancers. With our limited knowledge of the molecular basis and timing of the initiation of altered methylation events in the stepwise progression of cancers, the biggest challenge we currently face is to identify novel biomarkers and technologies for the timely screening of patients carrying such alterations. One such strategy would be to develop tests for the detection of fecal DNA methylation patterns that will improve the sensitivity of noninvasive screening tests for colorectal neoplasia, and moreover, will decrease both mortality and the incremental costs of treating colorectal cancers.

Colorectal Neoplasms↗

PubMed1997

Differences in DNA methylation patterns are detectable during the dimorphic transition of fungi by amplification of restriction polymorphisms.

A modification of the amplified fragment length polymorphism technique was developed for the determination of DNA methylation in dimorphic fungi representative of three of the major fungal taxa: Mucor rouxii, a zygomycete; Yarrowia lipolytica, an ascomycete; and Ustilago maydis, a basidiomycete. DNA obtained from the yeast or mycelial stages of the fungi was digested with a mixture of EcoRI, and one of the isoschizomers MspI and HpaII, whose ability to cleave at the sequence CpCpGpG is affected by the methylation state. The resulting fragments were ligated to primers and subjected to a double round of amplification by the polymerase chain reaction, radiolabeled in the second round, and separated by polyacrylamide gel electrophoresis. Comparison of patterns revealed differences indicative of fragments whose methylation state did or did not change during the dimorphic transition. These results indicate the usefulness of the method for the study of DNA methylation, demonstrate the universality of DNA methylation in fungi, and confirm that differential DNA methylation occurs during fungal morphogenesis.

DNA Methylation↗

PubMed2002

Differential DNA methylation between fetus and mother as a strategy for detecting fetal DNA in maternal plasma.

BACKGROUND: Fetal DNA has been detected in maternal plasma by the use of genetic differences between mother and fetus. We explore the possibility of using epigenetic markers for the specific detection of fetal DNA in maternal plasma. METHODS: A differentially methylated region in the human IGF2-H19 locus and a single-nucleotide polymorphism in this region were chosen for the study. The methylation status in this region is maintained in such a way that the paternal allele is methylated and the maternal allele is unmethylated. The single-nucleotide polymorphism was typed by direct sequencing of PCR products. The methylation status of this region was ascertained by bisulfite conversion and methylation-specific PCR. Differentially methylated fetal alleles were detected in maternal plasma by direct sequencing and a primer-extension assay. RESULTS: Women in the second (n = 21; 17-21 weeks) and third (n = 18; 37-42 weeks) trimesters of pregnancy were recruited. Among these 39 volunteers, the 16 who were heterozygous for the single-nucleotide polymorphism were chosen for further analysis. In 11 of these 16 cases, paternally inherited methylated fetal alleles were different from the methylated alleles of the respective mothers. Using direct sequencing, we detected paternally inherited methylated fetal DNA in 6 of 11 (55%) cases. In 8 of the 16 heterozygous cases, the fetuses possessed an unmethylated maternally inherited allele that was different from the unmethylated allele of the mother. Using a primer-extension assay, we detected fetal-derived maternally inherited alleles in maternal plasma of four of eight (50%) cases. CONCLUSIONS: These results represent the first use of fetal epigenetic markers in noninvasive prenatal analysis. These data may also have implications for the investigation of other types of chimerism.

DNA↗

PubMed2026

Low-Cost Nucleic-Acid-Based Radial Flow Assay for the Detection of GSTP1 Promoter DNA Methylation in Prostate Cancer.

DNA methylation of the glutathione S-transferase pi 1 (GSTP1) promoter is a widely studied epigenetic biomarker for prostate cancer; however, its direct detection in genomic DNA remains analytically challenging without complex chemical or amplification-based workflows. Here, we report a nucleic acid-based radial flow assay (NABRFA) that enables visual and pattern-based detection of gene-specific DNA methylation using gold nanoparticle (AuNP)-conjugated oligonucleotide probes. Thiol-modified single-stranded DNA probes targeting the GSTP1 CpG island (5'ThG) were conjugated to AuNPs to form stable probe-nanoparticle constructs that retain colloidal stability under high ionic strength conditions (0.5 M NaCl). Upon hybridization with methylation-protected GSTP1 DNA, the resulting AuNP-DNA complexes exhibit hybridization-dependent modulation of transport and retention on a porous nylon membrane, generating characteristic concentric radial patterns. These patterns arise from spatial separation between retained hybridized complexes and outwardly transported unbound probe-functionalized nanoparticles, enabling direct visual discrimination of target presence. The assay demonstrated concentration-dependent pattern evolution, with visual detection achievable down to 1 ng of target DNA and an analytically determined limit of detection of approximately 32 ng, based on image-derived gray value analysis. The human prostate cancer cell line LNCaP, known for GSTP1 promoter hypermethylation, was used as the test model for assay validation. Comparative analysis using methyl-sensitive restriction enzyme-treated native genomic DNA from the human osteosarcoma MG-63 cell line (non-prostate cancer, GSTP1 methylation-negative control) and the human lung fibroblast WI-38 cell line (non-cancerous, GSTP1 methylation-negative control) confirmed assay specificity. By coupling sequence-specific hybridization with transport-mediated nanoparticle pattern formation, NABRFA provides a label-free and conversion-free analytical strategy for detection of methylation-protected GSTP1 DNA using minimal instrumentation. This work establishes a proof-of-concept membrane-based, transport-driven sensing approach for epigenetic biomarker detection and highlights its potential for integration into simplified molecular diagnostic workflows.

Humans↗

PubMed2025

Discovery and performance of DNA methylation panels for cancer detection and classification in blood.

Examining DNA in a liquid biopsy for non-invasive cancer detection relies on identifying dilute signal in a high background. This study aims to identify DNA methylation biomarkers for multi-cancer detection. Utilizing large tissue datasets, we apply novel search algorithms to discover confined biomarker panels capable of distinguishing tumor from normal and determining the tissue of origin. We explore the applicability to blood-based testing using targeted methylation sequencing followed by machine learning classification. We present an 8-marker panel, which successfully predicts tumors across 14 types with a 91% average sensitivity, maintaining a low false positive rate (< 0.04%). Additionally, a panel of 39 CpG sites exhibits accuracies ranging from 69% to 98% for identifying tissue of origin. When tested on 114 patient plasma samples (colon, liver, pancreatic, prostate, and stomach cancer), the 8-marker panel obtains an AUC of 0.78 with a 78% sensitivity among 32 early-stage patients (stage I-II), and 60% overall. Using the 39-marker panel in a multi-class classification model selecting only the best match, 54% of tumor samples were on average correctly assigned to the tissue of origin, and up to 80% when allowing more inclusive criteria. Using a limited set of biomarkers, our work contributes to advancing non-invasive cancer diagnostics.

DNA methylation↗

PubMed1994

Detection of aberrant DNA methylation in unique Prader-Willi syndrome patients and its diagnostic implications.

Most patients with Prader-Willi syndrome have a deletion of 15q11-13 or maternal uniparental disomy for chromosome 15. The shortest region of deletion overlap is presently defined by the gene for the small nuclear ribonucleoprotein N (SNRPN). We have investigated the integrity of SNRPN as well as the methylation status of D15S63 (PW71) in two patients with apparently normal chromosomes 15 of biparental origin. SNRPN is normal in one patient and deleted in the other one. Both patients are intact at the D15S63 locus, but have an abnormal methylation pattern. These results suggest that a DNA sequence close to SNRPN determines the methylation status of D15S63 and that the methylation test does not only detect the common deletions and uniparental disomy, but other rare lesions as well.

Adolescent↗

PubMed2003

Liposome-mediated conformation transition of DNA detected by molecular probe: methyl green.

Recent studies have focused on the structural features of DNA-lipid assemblies. In this paper, we take methyl green (MG) as a probe molecule to detect the conformational change of DNA molecule induced by dimethyldioctadecylammonium bromide (DDAB) liposomes before the condensation process of DNA begins. DDAB-induced DNA topology changes were investigated by cyclic voltammetry (CV), circular dichroism (CD) and UV-VIS spectrometry. We find that upon binding to DNA, positively charged liposomes induce a conformational transition of DNA molecules from the native B-form to the C motif. Conformational transition in DNA results in the binding modes of MG to DNA, changing and being isolated from DNA to the solution. More stable complexes are formed between DNA and DDAB. That is also proved by the melting study of DNA.

Animals↗