Methods For DNA Methylation Analysis Research Articles

Uncovering Forensic Evidence: A Path to Age Estimation through DNA Methylation.

Age estimation is a critical aspect of reconstructing a biological profile in forensic sciences. Diverse biochemical processes have been studied in their correlation with age, and the results have driven DNA methylation to the forefront as a promising biomarker. DNA methylation, an epigenetic modification, has been extensively studied in recent years for developing age estimation models in criminalistics and forensic anthropology. Epigenetic clocks, which analyze DNA sites undergoing hypermethylation or hypomethylation as individuals age, have paved the way for improved prediction models. A wide range of biomarkers and methods for DNA methylation analysis have been proposed, achieving different accuracies across samples and cell types. This review extensively explores literature from the past 5 years, showing scientific efforts toward the ultimate goal: applying age prediction models to assist in human identification.

Advances in cancer DNA methylation analysis with methPLIER: use of non-negative matrix factorization and knowledge-based constraints to enhance biological interpretability

DNA methylation is an epigenetic modification that results in dynamic changes during ontogenesis and cell differentiation. DNA methylation patterns regulate gene expression and have been widely researched. While tools for DNA methylation analysis have been developed, most of them have focused on intergroup comparative analysis within a dataset; therefore, it is difficult to conduct cross-dataset studies, such as rare disease studies or cross-institutional studies. This study describes a novel method for DNA methylation analysis, namely, methPLIER, which enables interdataset comparative analyses. methPLIER combines Pathway Level Information Extractor (PLIER), which is a non-negative matrix factorization (NMF) method, with regularization by a knowledge matrix and transfer learning. methPLIER can be used to perform intersample and interdataset comparative analysis based on latent feature matrices, which are obtained via matrix factorization of large-scale data, and factor-loading matrices, which are obtained through matrix factorization of the data to be analyzed. We used methPLIER to analyze a lung cancer dataset and confirmed that the data decomposition reflected sample characteristics for recurrence-free survival. Moreover, methPLIER can analyze data obtained via different preprocessing methods, thereby reducing distributional bias among datasets due to preprocessing. Furthermore, methPLIER can be employed for comparative analyses of methylation data obtained from different platforms, thereby reducing bias in data distribution due to platform differences. methPLIER is expected to facilitate cross-sectional DNA methylation data analysis and enhance DNA methylation data resources.

Methylation-Specific Electrophoresis.

Methylation of CpG sites in the promoter region of genomic DNA is an important epigenetic modification that plays a critical role in gene regulation, particularly in gene silencing. Epigenetic abnormalities, along with genetic alterations, are implicated in carcinogenesis and cancer progression. Numerous studies have investigated the role of epigenetics in cancer using various tools to assess DNA methylation. However, conventional analysis methods for DNA methylation require a large amount of DNA but lack higher sensitivity, making them unsuitable for analysis of samples with high heterogeneity, such as tumor tissues. In this study, we introduce a novel electrophoresis method named "methylation-specific electrophoresis (MSE)," which utilizes a denaturing gradient acrylamide gel. We demonstrate the applicability of the MSE method for DNA methylation analysis of the mucin gene as an example.

Advances in microfluidic-based DNA methylation analysis

DNA methylation has been extensively investigated in recent years, not least because of its known relationship with various diseases. Progress in analytical methods can greatly increase the relevance of DNA methylation studies to both clinical medicine and scientific research. Microfluidic chips are excellent carriers for molecular analysis, and their use can provide improvements from multiple aspects. On-chip molecular analysis has received extensive attention owing to its advantages of portability, high throughput, low cost, and high efficiency. In recent years, the use of novel microfluidic chips for DNA methylation analysis has been widely reported and has shown obvious superiority to conventional methods. In this review, we first focus on DNA methylation and its applications. Then, we discuss advanced microfluidic-based methods for DNA methylation analysis and describe the great progress that has been made in recent years. Finally, we summarize the advantages that microfluidic technology brings to DNA methylation analysis and describe several challenges and perspectives for on-chip DNA methylation analysis. This review should help researchers improve their understanding and make progress in developing microfluidic-based methods for DNA methylation analysis.

B-370 Clinical Utility of microRNA Quantitative Analysis Using Double Quencher Probes and Methylation Analysis by Methylation Sensitive Restriction Enzyme Polymerase Chain Reaction for Bladder Cancer

Abstract Background Histone modifications, DNA methylation, and microRNA (miRNA)-mediated gene silence are examples of epigenetic changes that regulate gene expression without causing sequence changes. The early phases of neoplastic transformation are characterized by the occurrence of these epigenetic changes, which are believed to be crucial for the development and progression of cancer. To increase the sensitivity and practicality of miRNA analysis, we developed a measuring technique using a ZEN double quencher into hydrolysis probe in reverse transcription quantitative polymerase chain reaction (RT-qPCR). Additionally, we developed a method for DNA methylation analysis employing methylation-sensitive restriction enzymes (MSRE) and methylation-insensitive restriction enzymes (MIRE) that can analyze a number of samples quickly. We examined the clinical usefulness of using these systems to understand the level of miRNA expression and methylation in bladder cancer. Methods In this study, 64 biopsied tissues from transurethral bladder tumor resection (TURBT) were used. For miRNA extraction, Cica geniusTM RNA Prep Kit (For Tissue) II (KANTO CHEMICAL CO.,INC.) and a solution that improves miRNA extraction efficiency were used. Using stem-loop RT primers, complementary DNA was created from the isolated miRNA solution. Quantitative analysis was performed by RT-qPCR using a ZEN double quencher probe and miR-21,30a, 200c, and U6 were used as target. Genomic DNA (gDNA) was extracted from the TURBT sample using High Pure PCR Template Preparation Kit (Roche). Restriction enzyme digestion was performed using HapII (Takara Bio) as MSRE and MspI (Takara Bio) as MIRE; the latter has the same recognition site as HapII but is not affected by the presence or absence of methylation. Real-time PCR was performed on the LightCycler 96 (Roche) using Universal ProbeLibrary probes (Roche) targeting ESM1, SFMBT2, and SEPTIN9. From the obtained Cp value, each methylation rate was calculated. The Fisher’s exact test was used to statistically analyze the relationship among miRNA, methylation data and other clinicopathological factors. Results For miR-30a, we observed a higher expression of miRNA was linked to more advanced T stage (P = 0.047). Additionally, ESM1 methylation exhibited a significant correlation with greater grade (P = 0.004) and T stage progress (P = 0.018). Data on miRNA abundance and methylation rate were combined in order to uncover a link with clinical data that was not apparent from either set of data separately. Samples with higher values for both miR-21 and ESM1 methylation rates were shown to have high grade (P = 0.007) and progress to the T stage (P = 0.006). Furthermore, samples with higher values for both miR-200c and SEPTIN9 methylation rates did not progress to the T stage (P = 0.013). Conclusion The combined miRNA and methylation data revealed relationships with clinical results that could not be discovered with either data separately, highlighting the clinical usefulness of the current study’s findings.

Evaluation of commercial kits for isolation and bisulfite conversion of circulating cell-free tumor DNA from blood

BackgroundDNA methylation biomarkers in circulating cell-free DNA (cfDNA) have great clinical potential for cancer management. Most methods for DNA methylation analysis require bisulfite conversion, causing DNA degradation and loss. This is particularly challenging for cfDNA, which is naturally fragmented and normally present in low amounts. The aim of the present study was to identify an optimal combination of cfDNA isolation and bisulfite conversion kits for downstream analysis of DNA methylation biomarkers in plasma.ResultsOf the five tested bisulfite conversion kits (EpiJET Bisulfite Conversion Kit, EpiTect Plus DNA Bisulfite Kit (EpiTect), EZ DNA Methylation-Direct Kit, Imprint DNA Modification Kit (Imprint) and Premium Bisulfite Kit), the highest and lowest DNA yield and recovery were achieved using the EpiTect kit and the Imprint kit, respectively, with more than double the amount of DNA for the EpiTect kit. Of the three tested cfDNA isolation kits (Maxwell RSC ccfDNA Plasma Kit, QIAamp Circulating Nucleic Acid Kit (CNA) and QIAamp MinElute ccfDNA Mini Kit), the CNA kit yielded around twice as much cfDNA compared to the two others kits, although with more high molecular weight DNA present. When comparing various combinations of cfDNA isolation kits and bisulfite conversion kits, the CNA kit and the EpiTect kit were identified as the best-performing combination, resulting in the highest yield of bisulfite converted cfDNA from normal plasma, as measured by droplet digital PCR (ddPCR). As a proof of principle, this kit combination was used to process plasma samples from 13 colorectal cancer patients for subsequent ddPCR methylation analysis of BCAT1 and IKZF1. Methylation of BCAT1 and/or IKZF1 was identified in 6/10 (60%) stage IV patients and 1/3 (33%) stage III patients.ConclusionsBased on a thorough evaluation of five bisulfite conversion kits and three cfDNA isolation kits, both individually and in combination, the CNA kit and the EpiTect kit were identified as the best-performing kit combination, with highest DNA yield and recovery across a range of DNA input amounts. The combination was successfully used for detection of clinically relevant DNA methylation biomarkers in plasma from cancer patients.

Abstract 6012: Comparison of pre-analytical methods for DNA methylation analysis of cfDNA

Abstract Liquid biopsies in the form of cell-free circulating tumor DNA (ctDNA) isolated from blood plasma or serum have shown great promise to be used as minimally-invasive markers in cancer patients providing an insight into the composition of both primary tumor and metastases, and an opportunity to assess clonal dynamics throughout the course of disease. CtDNA carries not only tumor- specific changes in its sequence but also distinctive epigenetic marks, namely DNA methylation patterns similar to the patterns in the primary tumor. Deregulation of tissue-specific DNA methylation patterns is an early event in carcinogenesis holding great promise to be exploited for early detection of cancer. However, in contrast to mutation detection, targeted DNA methylation sequencing of cfDNA remains a challenge due to low concentration and heavy fragmentation. The limiting step in detection of any analyte is the recovery of the DNA molecules. The pre-analytical steps in the DNA methylation detection pipeline include extraction of cfDNA molecules and their conversion using sodium bisulfite. Bisulfite conversion is a harsh chemical reaction that induces further fragmentation and degradation of already scarce cfDNA. In this study we compared commercial methods for cfDNA extraction and for bisulfite conversion to evaluate the yield, degradation and procedural loss. We compared five commercial kits for cfDNA extraction from blood plasma, three column-based (Qiagen’s QIAamp Circulating nucleic acids kit, Norgen’s Plasma/Serum Cell-Free Circulating DNA Purification and Macherey-Nagel’s NucleoSpin® Plasma XS) and two based on magnetic beads cleanup (Bioo Scientific’s Next Prep magnetic Cell-Free Circulating DNA isolation kitand Applied Biosystems’ Magmax Cell-Free Circulating DNA isolation kit. The kits used for bisulfite conversion were Zymo EZ DNA Methylation Lightning with column based purification and with magnetic beads purification, Zymo EZ DNA Methylation Direct with column based purification and with magnetic bead purification, Qiagen Epitect Fast DNA Bisulfite and Diagenode Premium Bisulfite kits. Same samples were processed by each of the kits, Sample degradation was determined using Agilent Bioanalyzer dsDNA kit. Yield was evaluated by Picogreen, absolute qPCR for single-copy gene and for contamination of gDNA by a B-cell specific assay, while procedural loss was determined based on the recovery of a synthetic spike-in. Citation Format: Miljana Tanic, Oluwadunni Emiloju, Pawan Dhami, Stephan Beck. Comparison of pre-analytical methods for DNA methylation analysis of cfDNA. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6012.

Can we integrate method-specific age-predictive models?: Analysis method-induced differences in detected DNA methylation status

Forensic research surrounding the use of DNA methylation (DNAm) markers to predict age suggests that accurate prediction of chronological age can be achieved with just several DNAm markers. Several age-prediction models are based on DNAm levels that are detectable by a diverse range of DNAm analysis methods. Among the many DNAm analysis methods, targeted amplicon-based massively parallel sequencing (MPS) and single-base extension (SBE) methods have been widely studied owing to their practicality, including their multiplex capabilities. Since these two DNAm analysis methods share an identical amplification step during their experimental processes, several studies have compared the differences between the methods to construct integrated age-prediction models based on both MPS and SBE data. In this study, we compared the specific differences in DNAm levels between these two commonly exploited analysis methods by analyzing the identical PCR amplicons from the same samples and quantifying the actual bisulfite-converted DNA amount involved in the PCR step. The DNAm levels of five well-studied age-associated markers—CpGs on the ELOVL2, FHL2, KLF14, MIR29B2CHG, and TRIM59 genes—were obtained from blood samples of 250 Koreans using both DNAm analysis methods. The results showed that only ELOVL2 is interchangeable between the MPS and SBE methods, while the rest of the markers showed significant differences in DNAm values. These differences may result in high errors and consequential lowered accuracy in age estimates. Therefore, a DNAm analysis method-specific approach that considers method-induced DNAm differences is recommended to improve the overall accuracy and reliability of age-prediction methods.

HOGG1-assisted DNA methylation analysis via a sensitive lanthanide labelling strategy

The assessment of DNA methylation level is an important indicator for the diagnosis and treatment of some diseases. DNA methylation assays are usually based on nucleic acid amplification strategies, which are time-consuming and complicated in operation procedures. Herein, we proposed a sensitive lanthanide-labelled ICP-MS method for DNA methylation analysis that exploited the feature of Human 8-oxoGuanine DNA Glycosylase (hOGG1), which specifically recognizes 8-oxo-G/5mC base pairs to effectively distinguish methylated DNA. A low limit of detection of 84 pM was achieved, and a 0.1% methylation level can be discriminated in the mixture, without any amplification procedure. Compared with commonly used nucleic acid amplification strategies, this proposed method is time-saving and low probability of false positive. Moreover, this work has been successfully validated in human serum samples, the recovery rates is between 96.7% and 105%, and the relative standard deviation (RSD) is in the range of 3.0%–3.5%, indicating that this method has the potential to be applied in clinical and biological samples quantitative analysis.

Genome-Scale Methylation Analysis of Circulating Cell-Free DNA in Gastric Cancer Patients.

Aberrant DNA hypermethylation of CpG islands (CGIs) occurs frequently and is genome-wide in human gastric cancer (GC). A DNA methylation approach in plasma cell-free DNA (cfDNA) is attractive for the noninvasive detection of GC. Here, we performed genome-scale cfDNA methylation analysis in patients with GC. We used MCTA-Seq, a genome-scale DNA methylation analysis method, on the plasma samples of patients with GC (n = 89) and control participants (n = 82), as well as 28 pairs of GC and adjacent noncancerous tissues. The capacity of the method for detecting GC and discriminating GC from colorectal cancer (CRC) and hepatocellular carcinoma (HCC) was assessed. We identified 153 cfDNA methylation biomarkers, including DOCK10, CABIN1, and KCNQ5, for detecting GC in blood. A panel of these biomarkers gave a sensitivity of 44%, 59%, 78%, and 100% for stage I, II, III, and IV tumors, respectively, at a specificity of 92%. CpG island methylation phenotype (CIMP) tumors and NON-CIMP tumors could be distinguished and detected effectively. We also identified several hundreds of cfDNA biomarkers differentially methylated between GC, CRC, and HCC, and showed that MCTA-Seq can discriminate early-stage GC, CRC, and HCC in blood by using a high specificity (approximately 100%) algorithm. Our comprehensive analyses provided valuable data on cfDNA methylation biomarkers of GC and showed the promise of cfDNA methylation for the blood-based noninvasive detection of GC.

Genome-wide CpG density and DNA methylation analysis method (MeDIP, RRBS, and WGBS) comparisons

ABSTRACT Genome-wide DNA methylation analysis is one of the most common epigenetic processes analysed for genome characterization and differential DNA methylation assessment. Previous genome-wide analysis has suggested an important variable in DNA methylation methods involves CpG density. The current study was designed to investigate the CpG density in a variety of different species genomes and correlate this to various DNA methylation analysis data sets. The majority of all genomes had >90% of the genome in the low density 1–3 CpG/100 bp category, while <10% of the genome was in the higher density >5 CpG/100 bp category. Similar observations with human, rat, bird, and fish genomes were observed. The methylated DNA immunoprecipitation (MeDIP) procedure uses the anti-5-methylcytosine antibody immunoprecipitation followed by next-generation sequencing (MeDIP-Seq). The MeDIP procedure is biased to lower CpG density of <5 CpG/100 bp, which corresponds to >95% of the genome. The reduced representation bisulphite (RRBS) protocol generally identifies DMRs in higher CpG density regions of ≥3 CpG/100 bp which corresponds to approximately 20% of the genome. The whole-genome bisulphite (WGBS) analyses resulted in higher CpG densities, often greater than 10 CpG/100bp. WGBS generally identifies ≥2 CpG/100bp, which corresponds to approximately 50% of the genome. Limitations and potential optimization approaches for each method are discussed. None of the procedures can provide complete genome-wide assessment of the genome, but MeDIP-Seq provides coverage of the highest percentage. Observations demonstrate that CpG density is a critical variable in DNA methylation analysis, and different molecular techniques focus on distinct genomic regions.

Current Advances in DNA Methylation Analysis Methods.

DNA methylation is one of the epigenetic changes, which plays a major role in regulating gene expression and, thus, many biological processes and diseases. There are several methods for determining the methylation of DNA samples. However, selecting the most appropriate method for answering biological questions appears to be a challenging task. The primary methods in DNA methylation focused on identifying the state of methylation of the examined genes and determining the total amount of 5-methyl cytosine. The study of DNA methylation at a large scale of genomic levels became possible following the use of microarray hybridization technology. The new generation of sequencing platforms now allows the preparation of genomic maps of DNA methylation at the single-open level. This review includes the majority of methods available to date, introducing the most widely used methods, the bisulfite treatment, biological identification, and chemical cutting along with their advantages and disadvantages. The techniques are then scrutinized according to their robustness, high throughput capabilities, and cost.

Bisulfite-Converted DNA Quantity Evaluation: A Multiplex Quantitative Real-Time PCR System for Evaluation of Bisulfite Conversion.

Bisulfite (BS) conversion, which includes a series of chemical reactions using bisulfite, is a prerequisite to most DNA methylation analysis methods, and thus is an essential step in the associated research process. Unfortunately, BS conversion leads to the degradation or loss of DNA, which can hinder further downstream analysis. In addition, it is well known that incomplete BS conversion is crucial, as it causes an exaggeration of the DNA methylation level, which can adversely affect the results. Therefore, there have been many attempts to measure three key features of BS conversion: BS conversion efficiency, recovery, and degradation level. In this study, a multiplex quantitative real-time PCR system named BisQuE was suggested to simultaneously analyze three important aspects of the conversion step. By adopting cytosine-free PCR primers for two differently sized multicopy regions, the short amplicon and long amplicon were obtained from both the genomic and BS-converted DNA, thus enabling the obtaining of reliable and sensitive results and the calculation of the degradation level of the conversion step. Also, probes for detecting converted/unconverted templates and C-T indicators for inducing the formula were included in this assay to quantify BS-converted DNA in order to compute the conversion efficiency and recovery. Six BS conversion kits (EZ DNA Methylation-Lightning Kit, Premium Bisulfite kit, MethylEdge® Bisulfite Conversion System, EpiJET Bisulfite Conversion Kit, EpiTect Fast DNA Bisulfite Kit, and NEBNext® Enzymatic Methyl-seq Conversion Module) were tested in 20 samples using 50 ng of genomic DNA as an input with the BisQuE. The conversion efficiency, degradation levels, as well as recovery rates of the kits were investigated. A total of 99.61–99.90% conversion efficiency was perceived for five of the kits, while the NEBNext kit showed about 94%. The lowest degradation level was shown by the NEBNext kit, whereas the other kits were quite similar. The recovery rates of the kits were found to be within the range of 18–50%. A Qubit assay was also used to compare the recovery rate of BisQuE.

Characterization of Recombinant Maintenance DNA Methyltransferase (Dnmt1) and Application to DNA Methylation Analysis

A change doesn't occur to base sequence of DNA in the process of the human development. However, one fertilized egg differentiates into cells with sixty trillion of abundant individuality. The reason is DNA is methylated. The DNA methylated correctly is necessary for correct differentiation. Aberrant methylation induce various diseases including cancer, mental disorder and lifestyle disease.Elucidating essential of diseases needs analyzing methylation of DNA.Various DNA methylation analysis methods have been developed, among which bisulfite sequencing (BS-seq) is common.BS-seq has problems such as low sensitivity, which can not analyze cell types with insufficient sample amount, and may miss specific methylation of individual cells because it is an averaged data of cell population.Conventional BS-seq, hydroxymethylation (hmC), which is an intermediate of demethylation, is detected as methylation (mC). Since hmC is not recognized as mC in vivo, conventional BS-seq can not perform accurate DNA methylation analysis.New analytical methods are needed to assess pure DNA methylation even from small numbers of cells, such as single cells. In this study, we aim to develop a novel methylation analysis method that enables accurate methylation to be performed even with a small amount of DNA by repeating amplification and methylation of DNA using PCR and DNA (cytosine-5)-methyltransferase 1 (DNMT1).

Epigenetic mechanism in search for the pathomechanism of diabetic neuropathy development in diabetes mellitus type 1 (T1DM).

The aim of this study was to check the hypothesis concerning the crucial role of DNA methylation (one of the epigenetic mechanisms) within selected genes related to the destruction and regeneration of neural cells and its input in the pathogenesis of diabetic neuropathy, using a model of the DNA in peripheral blood cells. A cross-sectional, case-control study was conducted, consisting of 24 adult Type 1 Diabetes Melitus (T1DM) patients with autonomic neuropathy (CAN), 25 T1DM patients without neuropathy and 25 matched, healthy adults acting as a control (Ctrl). The Ewing's tests, using the ProSciCard apparatus (Mewicon CATEEM-Tec GmbH), was employed to assess the severity of the patients' symptoms of autonomic neuropathy. For DNA methylation analysis, DNA material of each sample DNA after bisulfite conversion was used for the hybridization of BeadChips (Infinium Methylation EPIC Kit, Illumina), and imaged on the Illumina HiScan. The changes in the expression of selected genes were examined using real-time PCR. Probes were labeled using fluorescein amidite, FAM (Thermo Fisher Scientific). Amplification was performed using the continuous fluorescence detection 7900 HT Fast Real-Time PCR system (Thermo Fisher Scientific). The expression ratio of the target mRNA was normalized to the level of 18s RNA and compared with the control. Statistical analysis was performed using Statistica version 13.1. The statistically significant results were recognized, with a value of p < 0.05. Clinical analysis of the investigated groups revealed a significantly higher percentage of personal insulin pump users in the group without neuropathy. The glucose metabolic control, based on the HbA1c level analysis, was also significantly better in T1DM patients without CAN. The Bumphunter method for DNA methylation analysis showed statistically significant regions related to the genes involved in nerve regeneration ninjurin 2 (NINJ2) and functionality (BR serine/threonine kinase 2 BRSK2, claudin 4 CLDN4). When compared with T1DM patients without neuropathy, T1DM patients with neuropathy showed significantly increased methylation in the first NINJ2 axon, and a lower level of DNA methylation in the region of the first intron of BRSK2, as well as the CLDN4 5'UTR regions. The qRT-PCR results confirmed the decreased expression of NINJ2 and CLDN4 genes in patients with T1DM with CAN. The different DNA methylation profiles, correlating with the expression of genes related to nervous tissue development and regeneration in patients with T1DM with autonomic neuropathy provide evidence for the role of epigenetic mechanisms promoting the development of CAN, a chronic complication of T1DM.

Analysis of Toxicants-Induced Alterations in DNA Methylation by Methylation-Sensitive-Random Amplified Polymorphic DNA-Polymerase Chain Reaction (MS-RAPD-PCR).

Overwhelming evidence suggests that in addition to the genetic changes of DNA mutations, epigenetic changes of DNA methylation and histone modifications play important role in regulation of gene expression. DNA methylation is the most frequent epigenetic alteration observed in mammalian genomes, and generally it is negatively correlated with gene expression. Various methods are available for the detection of DNA methylation changes. Although the recent high-throughput methods for DNA methylation analysis have various advantages, they require high levels of technical expertise, costly equipment, and reagents. Because of these reasons, many of the global DNA methylation analysis methods are mainly performed at core facility, and laboratories with limited resources and expertise are not able to use these methods. Methylation-Sensitive-Random Amplified Polymorphic DNA-Polymerase Chain Reaction (MS-RAPD-PCR) is a restriction enzyme digestion and PCR-based method for the analysis of DNA methylation changes. This method is cost-effective, requires simple and basic instrumentation, and therefore can easily be performed in any laboratory with basic setup having a regular DNA thermal cycler and DNA gel electrophoresis system. Additional advantages of this method over other methods for DNA methylation analysis are that it requires very less amount of DNA and can screen DNA methylation changes globally at genome-wide level with high sensitivity. This method has been successfully used to detect changes in DNA methylation either occurring naturally or induced by various toxicants and environmental factors. A detail experimental protocol for MS-RAPD-PCR is described in this chapter.

Circulating cell-free DNA from plasma undergoes less fragmentation during bisulfite treatment than genomic DNA due to low molecular weight.

Methylation patterns in circulating cell-free DNA are potential biomarkers for cancer and other pathologies. Currently, bisulfite treatment underpins most DNA methylation analysis methods, however, it is known to fragment DNA. Circulating DNA is already short, and further fragmentation during bisulfite treatment is of concern, as it would potentially reduce the sensitivity of downstream assays. We used high molecular weight genomic DNA to compare fragmentation and recovery following bisulfite treatment with 2 commercially available kits (Qiagen). The bisulfite treated DNA was visualised on an agarose gel and quantified by qPCR. We also bisulfite treated, visualised and quantitated circulating DNA from plasma. There was no difference in DNA fragmentation between the two kits tested, however, the Epitect Fast kit gave better recovery than the standard Epitect kit, with the same conversion efficiency. We also found that bisulfite treated circulating DNA migrates as distinct bands on agarose gels, suggesting that, in contrast to genomic DNA, it remains largely intact following treatment. Bisulfite treatment of 129 and 234 base PCR products confirmed that this was due to the short length of the circulating DNA fragments. Compared to double stranded DNA, bisulfite treated single stranded DNA gives a very weak signal on gel electrophoresis. DNA fragmentation during bisulfite treatment does not contribute to loss of sensitivity in methylation analysis of circulating DNA. The absence of DNA fragments below approximately 170 bases from agarose gel images of purified circulating DNA raises the possibility that these fragments are single stranded following the DNA extraction step.

DNA Methylation Tools and Strategies: Methods in a Review

DNA methylation is known as an important epigenetic change in plants and vertebrates genome. In this process, the methyl group transferred by DNA methyl transferase enzymes to cytosine at carbon residue 5 often in the CpG dinucleotide context. DNA methylation plays an important role in the natural development of the organism, genome stability maintenance and processes such as genomic imprinting and chromosome X inactivation in mammals. In addition, changes in DNA methylation pattern have seen in many diseases, including cancer. Analysis of DNA methylation has been useful for rapid disease diagnosis and progression. In recent decades, a revolution has taken place in the methods of DNA methylation analysis, and it is possible to study the pattern of gene methylation at a widespread, short and high resolution level. These methods can be divided into three general categories: (1) cut-based methods by methylation-sensitive enzymes; (2) sodium bisulfide based methods; (3) antibody based methods. Since the existence of different methods makes it difficult to select the appropriate approach, in this review, a number of common methods for examining the methylation pattern with the advantages and disadvantages will be discussed.

Generation of Whole Genome Bisulfite Sequencing Libraries from Very Low DNA Input.

DNA methylation changes are dynamic processes which occur at cytosines of CpG dinucleotides and contribute to normal development but also to diseases. DNA methylation changes are most effective in promoters and enhancers, the former frequently being CpG-rich and the latter, in contrast, CpG-poor. Many genome-wide methods for DNA methylation analysis interrogate predominantly CpG-rich regions and, hence, spare enhancers and other potentially important genomic regions. Whole genome bisulfite sequencing (WGBS), in contrast, analyzes the DNA methylome in its entirety. Standard tagmentation-based whole genome bisulfite sequencing (TWGBS) is a Tn5 transposon-based method which requires only 30ng of human input DNA and, hence, is particularly suited for precious biological samples like cells sorted by flow cytometry or laser capture microdissected tissue specimens. In the standard version, tagmentation generates DNA fragments flanked by uniform sequencing adapters. In a subsequent step, the non-covalently bound adapter oligonucleotide needs to be replaced by a novel oligonucleotide to provide the proper adapter sequence for the reverse strand in paired-end sequencing. The presented protocol describes an improved, simplified version of TWGBS where the inefficient oligo-replacement is circumvented by usage of a sequencing-compatible transposase-adapter complex. Consequently, genomic DNA of only a few hundred human cells is required to interrogate the complete human DNA methylome.

How to Design a Whole-Genome Bisulfite Sequencing Experiment

Aside from post-translational histone modifications and small RNA populations, the epigenome of an organism is defined by the level and spectrum of DNA methylation. Methyl groups can be covalently bound to the carbon-5 of cytosines or the carbon-6 of adenine bases. DNA methylation can be found in both prokaryotes and eukaryotes. In the latter, dynamic variation is shown across species, along development, and by cell type. DNA methylation usually leads to a lower binding affinity of DNA-interacting proteins and often results in a lower expression rate of the subsequent genome region, a process also referred to as transcriptional gene silencing. We give an overview of the current state of research facilitating the planning and implementation of whole-genome bisulfite-sequencing (WGBS) experiments. We refrain from discussing alternative methods for DNA methylation analysis, such as reduced representation bisulfite sequencing (rrBS) and methylated DNA immunoprecipitation sequencing (MeDIPSeq), which have value in specific experimental contexts but are generally disadvantageous compared to WGBS.