Blood-derived cell-free DNA is a superior biomarker for noninvasive DNA methylation profiling in multiple myeloma.
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Profiling DNA methylation by bisulfite genomic sequencing: problems and solutions.
The surge of interest in DNA methylation during the last two decades has triggered an urgent need for an effective method to detect the methylation status of the cytosines in the genome. Bisulfite genomic sequencing is the most attractive choice so far for many laboratories. Various protocols have been established, but difficulties are often encountered, particularly by individuals who have limited experience in this field. This analysis presents a simple protocol that has consistently worked well in our laboratory. Discussions of potential technical problems and corresponding solutions are also included to facilitate the reproducibility of this protocol.
Chemical Precipitation↗
Enhancing the sensitivity of non-invasive cervical cancer detection using CpG methylation haplotype profiling.
DNA methylation is a critical epigenetic modification that regulates gene expression and plays a significant role in cancer development. This methylation signature can be detected in cancer-derived DNA from non-invasive samples, such as plasma, urine or Pap smears. However, in early-stage cancers-when detection is most critical-the concentration of cancer DNA is often low, limiting the sensitivity of current detection methods. Traditional DNA methylation detection techniques, which rely on methylation ratio-based measurements, may obscure subtle variations in methylation patterns, further reducing detection sensitivity. In this study, we analyzed cervical scraping specimens and examined whether detecting cancer-specific methylation patterns in cervical cancer could be enhanced using a Highly Methylated Haplotype (HMH) approach. This novel approach captures highly methylated haplotypes at single-molecule resolution using next-generation sequencing, providing greater detail than conventional methods. HMHs in specific DNA regions are a hallmark of cancer and stand out in contrast to sporadic methylation commonly observed in non-cancerous tissues. We applied HMH profiling to a gene panel of four biomarkers (CA10, DPP10, FMN2, and HAS1) previously validated in cervical cancer studies. At pre-specified cutoffs (99th percentile of normals), haplotype-based scoring achieved 89.9% sensitivity for invasive cancer at high specificity (~ 94-98%), outperforming median (78.0%) and single-CpG (71.6%) methods. For clinically relevant endpoints, the combined panel detected 51-52% of CIN2 + and 66-67% of CIN3 + cases, again exceeding the performance of median- and single-CpG-based scoring methods.These findings demonstrate the potential of HMH to substantially enhance sensitivity in cervical cancer detection, offering a promising approach for non-invasive diagnostics.
Humans↗
Whole genome amplification of sodium bisulfite-treated DNA allows the accurate estimate of methylated cytosine density in limited DNA resources.
Sodium bisulfite modification-based fine mapping of methylated cytosines represents the gold standard technique for DNA methylation studies. A major problem with this approach, however is that it results in considerable DNA degradation, and large quantities of genomic DNA material are needed if numerous genomic regions are to be profiled. In this study, we examined whether whole genome amplification (WGA) techniques can be applied to sodium bisulfite-treated DNA and whether WGA would bias DNA methylation results. Sodium bisulfite-treated DNA was amplified using a standard WGA method: optimized primer-extension preamplification (PEP) with degenerate primers. Following the PCR of bisulfite-treated DNA, the DNA methylation profiles of specific DNA fragments were assessed using three approaches: (i) direct sequencing of the overall product; (ii) the sequencing of cloned PCR products; and (iii) methylation-sensitive single nucleotide primer extension (MS-SNuPE)--and compared with those obtained from bisulfite-treated DNA not subjected to WGA. Our data indicates that the DNA methylation profiles obtained from WGA of sodium bisulfite-treated DNA are consistent with those obtained from non-WGA DNA. The average difference in methylation percentage calculated from the two sets of template using MS-SNuPE was 4%. If our results are replicated on other genomic loci, WGA may become a useful technique in DNA methylation studies.
CpG Islands↗
Changes of DNA methylation and gene expression profile in placental villi and chorioamniotic membranes under preeclampsia.
BACKGROUND: Preeclampsia (PE) is a serious pregnancy complication with elusive pathogenesis. Although epigenetic dysregulation is implicated, its layer-specific placental roles are poorly defined. This study aimed to identify shared and layer-specific epigenetic alterations in PE by profiling DNA methylation and gene expression in placental villi (PV) and chorioamniotic membranes (CAM). RESEARCH DESIGN AND METHODS: PV and CAM samples were collected from 7 normal and 8 PE pregnancies, and three public DNA methylation datasets (GSE98224, GSE44667, GSE75196) were integrated. Differentially methylated genes (DMGs) and differentially expressed genes (DEGs) were identified based on whole-genome methylation and transcriptome sequencing. Layer-specific and shared gene sets were identified by cross-analysis, with functional annotation using Gene Ontology (GO). RESULTS: EM-seq revealed a hypermethylation-dominant, tissue-specific methylation landscape in PE placentas. Cross-tissue comparison identified shared DMGs between the two layers, including nine key genes consistently altered in public datasets. Integrated analysis in PV further identified 22 co-dysregulated genes, enriched in thermoregulation, maternal-fetal immunity, signal transduction, and cell differentiation. CONCLUSIONS: This study elucidates the shared and layer-specific dysregulation of gene networks at methylomic and transcriptomic levels in PE placenta. Comparing PV and CAM highlights placental epigenetic heterogeneity and dysfunction, offering novel clues for mechanistic research and layer-targeted therapies.
Humans↗
Profiling Genome-Wide DNA Methylation in Children with Autism Spectrum Disorder and in Children with Fragile X Syndrome.
Autism spectrum disorder (ASD) is an early onset, developmental disorder whose genetic cause is heterogeneous and complex. In total, 70% of ASD cases are due to an unknown etiology. Among the monogenic causes of ASD, fragile X syndrome (FXS) accounts for 2-4% of ASD cases, and 60% of individuals with FXS present with ASD. Epigenetic changes, specifically DNA methylation, which modulates gene expression levels, play a significant role in the pathogenesis of both disorders. Thus, in this study, using the Human Methylation EPIC Bead Chip, we examined the global DNA methylation profiles of biological samples derived from 57 age-matched male participants (2-6 years old), including 23 subjects with ASD, 23 subjects with FXS with ASD (FXSA) and 11 typical developing (TD) children. After controlling for technical variation and white blood cell composition, using the conservatory threshold of the false discovery rate (FDR ≤ 0.05), in the three comparison groups, TD vs. AD, TD vs. FXSA and ASD vs. FXSA, we identified 156, 79 and 3100 differentially methylated sites (DMS), and 14, 13 and 263 differential methylation regions (DMRs). Interestingly, several genes differentially methylated among the three groups were among those listed in the SFARI Gene database, including the PAK2, GTF2I and FOXP1 genes important for brain development. Further, enrichment analyses identified pathways involved in several functions, including synaptic plasticity. Our preliminary study identified a significant role of altered DNA methylation in the pathology of ASD and FXS, suggesting that the characterization of a DNA methylation signature may help to unravel the pathogenicity of FXS and ASD and may help the development of an improved diagnostic classification of children with ASD and FXSA. In addition, it may pave the way for developing therapeutic interventions that could reverse the altered methylome profile in children with neurodevelopmental disorders.
Child↗
Analysis of tissue-specific DNA methylation during development.
The establishment of a cell identification method more accurate than the conventional morphological and cell-type-specific marker analyses has been desired. DNA methylation is related to the gene activity including gene-silencing and is a key mechanism of epigenetics underling cellular differentiaion and development in mammals. Recent studies indicated that there exist unique genomic DNA methylation profiles specific to the cell type. DNA methylation profiles a mechanism for memorizing the set of genes inherent in individual type of cells. In this chapter, we present the methods to analyze DNA methylation status for identifying cells or tissues.
Animals↗
Integrated Clinicopathologic and Multiomic Profiling Reveals MEIS1-Rearranged Sarcoma as a Distinct Entity With 2 Prognostic Subgroups.
Sarcomas with MEIS1 fusions represent a rare, recently recognized group of mesenchymal neoplasms with a predilection for genitourinary and gynecologic sites. A subset exhibits skeletal muscle differentiation resembling spindle cell rhabdomyosarcoma. Existing literature is limited to case reports and small series, with scant comprehensive clinicopathologic, molecular, and outcome data. In this study, we analyzed a multi-institutional cohort of 20 MEIS1-rearranged sarcomas using integrated clinicopathologic review, genomic profiling, and DNA methylation analysis. The tumors occurred in 17 females and 3 males (median age, 41 years; range, 6-58 years), arising mainly in the uterus/vagina (n = 12), vulva/perineum (n = 4), bone (n = 2), and kidney (n = 2), with a median size of 9 cm (range, 2.5-20 cm). Histology showed mostly bland spindle cells in fascicles/storiform patterns, alternating cellularity, fibromyxoid stroma, prominent vascularity, and adipose metaplasia (45%). A subset of cases featured high-grade morphology with epithelioid cells and increased mitotic activity. Skeletal muscle markers were variably positive in 9 cases. Fusions involved MEIS1 with NCOA2 (16/20), NCOA1 (3/20), or FOXO1 (1/20). Recurrent additional genomic alterations included CTNNB1 mutations (31.6%) and MDM2 amplification (15%). DNA methylation profiling showed that MEIS1-rearranged sarcomas formed a unifying cluster comprising 2 subgroups, regardless of rhabdomyosarcomatous phenotype, clearly separated from other mesenchymal neoplasms, including various rhabdomyosarcoma subtypes and uterine sarcomas. The 2 DNA methylation (Meth) subgroups correlated with differences in genome-wide copy number variation (CNV) status (Meth-CNV high vs Meth-CNV low), with Meth-CNV high tumors characterized by high mitotic rate, frequent tumor necrosis, recurrent co-occurring CTNNB1 and MDM2 alterations, and recurrent chromosomal arm-level changes. Most importantly, this subgroup exhibited significantly worse overall survival (P = .027) and disease-free survival (median, 5 vs 99 months; P = .017). This study establishes MEIS1-rearranged sarcoma as a distinct entity with generally indolent but potentially aggressive behavior. The 2 methylation/CNV subgroups provide potential utility for prognostic stratification and highlight actionable molecular targets in high-risk cases.
Humans↗
Expression of DNA methyltransferase gene in mature and immature neurons as well as proliferating cells in mice.
A major role of DNA-methyltransferase (MTase) is thought to be maintaining the DNA methylation profile through DNA replication. However, previous surveys of mRNA distribution in different tissues by Northern-blot analysis have shown unexpectedly high levels of expression of DNA-MTase mRNA in adult mouse brain, which consists mostly of slowly proliferating glial and nonproliferating neuronal cells. In order to identify cells expressing the gene in the brain, we performed an in situ hybridization analysis of mature brain as well as whole embryos of different ages. In addition to various embryonic tissues with active cell proliferation such as the ventricular neurogenic layer, hair follicle epithelia, thymus and epithelia of the base of intestinal villi, almost all mature neurons in brain of adult and even aged mice expressed DNA-MTase mRNA at substantial levels. No significant expression of the gene was detected in the white matter. These findings suggest some neuron-specific biological function of DNA methylation, unrelated to DNA replication.
Animals↗
Intra- and interindividual epigenetic variation in human germ cells.
Epigenetics represents a secondary inheritance system that has been poorly investigated in human biology. The objective of this study was to perform a comprehensive analysis of DNA methylation variation between and within the germlines of normal males. First, methylated cytosines were mapped using bisulphite modification-based sequencing in the promoter regions of the following disease genes: presenilins (PSEN1 and PSEN2), breast cancer (BRCA1 and BRCA2), myotonic dystrophy (DM1), and Huntington disease (HD). Major epigenetic variation was detected within samples, since the majority of sperm cells of the same individual exhibited unique DNA methylation profiles. In the interindividual analysis, 41 of 61 pairwise comparisons revealed distinct DNA methylation profiles (P=.036 to 6.8 x 10(-14)). Second, a microarray-based epigenetic profiling of the same sperm samples was performed using a 12,198-feature CpG island microarray. The microarray analysis has identified numerous DNA methylation-variable positions in the germ cell genome. The largest degree of variation was detected within the promoter CpG islands and pericentromeric satellites among the single-copy DNA fragments and repetitive elements, respectively. A number of genes, such as EED, CTNNA2, CALM1, CDH13, and STMN2, exhibited age-related DNA methylation changes. Finally, allele-specific methylation patterns in CDH13 were detected. This study provides evidence for significant epigenetic variability in human germ cells, which warrants further research to determine whether such epigenetic patterns can be efficiently transmitted across generations and what impact inherited epigenetic individuality may have on phenotypic outcomes in health and disease.
Confounding Factors, Epidemiologic↗
Whole-Genome Bisulfite Sequencing with a Small Amount of DNA.
Whole-genome bisulfite sequencing (WGBS) is the most widely used method to study DNA methylation profiles across the genome. Since the bisulfite reaction causes DNA degradation, a new approach called post-bisulfite adapter tagging (PBAT) was developed to overcome this problem by adding adapters after bisulfite treatment. In mammals, the PBAT method is used for single-cell bisulfite sequencing (scBS-seq), which enables DNA methylation analysis using a very small amount of DNA from only a few cells, including single-cell input. This protocol involves bisulfite conversion, followed by preamplification and tagging with random hexamer primers prior to Illumina library preparation. Since many procedures are completed in one single test tube, the loss of DNA can be minimized, enabling highly sensitive experiments to study DNA methylation profiles from a very small amount of input material.
Sulfites↗
DNA methylation: a profile of methods and applications.
Ever since methylcytosine was found in genomic DNA, this epigenetic alteration has become a center of scientific attraction, especially because of its relation to gene silencing in disease. There is currently a wide range of methods designed to yield quantitative and qualitative information on genomic DNA methylation. The earliest approaches were concentrated on the study of overall levels of methylcytosine, but more recent efforts havefocused on the study ofthe methylation status of specific DNA sequences. Particularly, optimization of the methods based on bisulfite modification of DNA permits the analysis of limited CpGs in restriction enzyme sites (e.g., combined bisulfite restriction analyses and methylation-sensitive single nucleotide primer extension) and the overall characterization based on differential methylation states (e.g., methylation-specific PCR, MethyLight, and methylation-sensitive single-stranded conformational polymorphism) and allows very specific patterns of methylation to be revealed (bisulfite DNA sequencing). In addition, novel methods designed to search for new methylcytosine hot spots have yielded further data without requiring prior knowledge of the DNA sequence. We hope this review will be a valuable tool in selecting the best techniques to address particular questions concerning the cytosine methylation status of genomic DNA.
5-Methylcytosine↗
DNA cytosine methylation profile in various cancer-related genes is altered in cultured rat hepatocyte cell lines as compared with primary hepatocytes.
We determined the DNA cytosine methylation status in the promoter CpG islands of eight cancer-related genes (p16, Socs-1, Rassf1A, Hic-1, Dlc-1, Timp-1, Timp-2, and Timp-3) in five rat hepatocyte cell lines, including normal cell lines (Clone 9 and CWSV-1) and tumor cell lines (H4-II-E-C3, MH1C1, and McA-RH7777). The experimental methods used to assess the methylation profile were methylation-specific PCR (MSP) and methylation-sensitive digestion combined with PCR. The results were compared with the methylation status of rat primary hepatocytes. To evaluate methylation-mediated gene induction/silencing, the expression of gene transcripts was semi-quantitatively assessed using RT-PCR. In primary cells, the CpG islands of all genes tested were unmethylated. In contrast, there was at least one hypermethylated gene in the cultured cell lines. Three genes (p16, Socs-1 and Rassf1A) were hypermethylated in Clone 9 cells; among the other five genes, three genes (Hic-1, Timp-1 and Timp-3) were hypermethylated in the CWSV-1 cell lines and two genes (Dlc-1 and Timp-2) were hypermethylated only in the tumor cell lines. The methylation status in some of the tested genes was altered at an early stage of cell culture as compared to primary cells. It is also noteworthy that hypermethylation in Socs-1, Rassf1, Hic-1, and Timp-3 was widespread among the cell lines tested, but not in the primary cells and Clone 9 cells. This study suggests that a cautious approach is required when cell lines are utilized to study methylation-related carcinogenic, metastatic or tumoricidal mechanisms.
Animals↗
Classification of individual lung cancer cell lines based on DNA methylation markers: use of linear discriminant analysis and artificial neural networks.
The classification of small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) can pose diagnostic problems due to inter-observer variability and other limitations of histopathology. There is an interest in developing classificatory models of lung neoplasms based on the analysis of multivariate molecular data with statistical methods and/or neural networks. DNA methylation levels at 20 loci were measured in 41 SCLC and 46 NSCLC cell lines with the quantitative real-time PCR method MethyLight. The data were analyzed with artificial neural networks (ANN) and linear discriminant analysis (LDA) to classify the cell lines into SCLC or into NSCLC. Models used either data from all 20 loci, or from five significant DNA methylation loci that were selected by a step-wise back-propagation procedure (PTGS2, CALCA, MTHFR, ESR1, and CDKN2A). The data were sorted randomly by cell line into 10 different data sets, each with training and testing subsets composed of 71 and 16 of the cases, respectively. Ten ANN models were trained using the 10 data sets: five using 20 variables, and five using the five variables selected by step-wise back-propagation. The ANN models with 20 input variables correctly classified 100% of the cell lines, while the models with only five variables correctly classified 87 to 100% of cases. For comparison, 10 different LDA models were trained and tested using the same data sets with either the original data or with logarithmically transformed data. Again, half of the models used all 20 variables while the others used only the five significant variables. LDA models provided correct classifications in 62.5% to 87.5% of cases. The classifications provided by all of the different models were compared with kappa statistics, yielding kappa values ranging from 0.25 to 1.0. We conclude that ANN models based on DNA methylation profiles can objectively classify SCLC and NSCLC cells lines with substantial to perfect concordance, while LDA models based on DNA methylation profiles provide poor to substantial concordance. Our work supports the promise of ANN analysis of DNA methylation data as a powerful approach for the development of automated methods for lung cancer classification.
Carcinoma, Non-Small-Cell Lung↗
A single nucleotide polymorphism chip-based method for combined genetic and epigenetic profiling: validation in decitabine therapy and tumor/normal comparisons.
Progress on several unresolved issues in cancer epigenetics will benefit from rapid and standardized methods for profiling DNA methylation genome-wide. In the area of epigenetic therapy, the demethylating drug decitabine (5-aza-2'-deoxycytidine) is increasingly used to treat acute myelogenous leukemia and myelodysplastic syndrome, but the mechanisms of its anticancer activity have remained unclear. Given the clinical efficacy of decitabine and the uncertainties about its mode of action, it will be useful to optimize methods for following DNA methylation as a biochemical response in individual patients. Here, we describe a single nucleotide polymorphism (SNP) chip-based method (MSNP) for profiling DNA methylation. Using this procedure, the extent of demethylation in bone marrow aspirates from patients with leukemia receiving decitabine can be assessed genome-wide using commercially available (Affymetrix) SNP chips. We validated the accuracy of MSNP by comparing the results with combined bisulfite restriction analysis and by sequencing cloned PCR products from bisulfite-converted DNA. We further validated MSNP in a Wilms' tumor/normal kidney comparison, comparing the results with methylation-sensitive Southern blotting. MSNP simultaneously detects aberrations in DNA copy number and loss of heterozygosity, making it a generally useful approach for combined genetic and epigenetic profiling in tissue samples from cancer patients.
Antimetabolites, Antineoplastic↗
[DNA methylation and neoplasms].
DNA methylation and acetylation of histone proteins represent two global mechanisms controlling the gene expression. DNA methylation profiles alter during the development of the organism and during progression of neoplasia. Three types of alterations of the DNA methylation profiles were observed in the tumor cells: hypomethylation, hypermethylation and the loss of imprinting. Beside the intra-gene mutation and the heterozygosity absence, DNA methylation can be understood as the third mechanism of tumor-suppressor gene inactivation in the genesis of neoplasia. Our review article brings recent findings and hypotheses on the role of DNA methylation in the carcinogenesis and its possible application in the diagnostics and therapy of the malignant proliferation.
DNA Methylation↗
Methylation in embryonic stem cells in vitro.
Stem cells raise the possibility of regenerating failing body parts with new tissue. Before stem cells can safely fulfill their promise, many technical problems, including understanding the stem cell phenotype, must be overcome. DNA methylation, which is responsible for gene silencing and is associated with chromatin remodeling, is an epigenetic system that determines the specific characteristic of a variety of cells, including stem cells. Each cell type has a unique DNA methylation profile produced by varied loci-specific methylation. Investigation of such DNA methylation profiles provides a way of identifying pluripotent stem cells. Further, it is likely that analysis of the epigenetic status of stem cells may provide novel information regarding "sternness" within these populations.
Animals↗
No relationship between genetic instability in Bloom's syndrome and DNA hypomethylation of some major repetitive sequences.
Bloom's syndrome (BS) is an autosomal recessive disorder, characterized by a high incidence of cancer at a young age. Cytogenetically, BS cells exhibit a high frequency of chromosomal damage and sister chromatid exchange (SCE). Thus, BS provides a human model of a genetic disorder exhibiting both chromosomal instability and a high incidence of cancer. In addition to its involvement in gene regulation, CpG methylation has recently been suggested to play an important role in the evolution and stability of chromosome structure. We have examined DNA methylation profiles of total DNA and some selected repeated sequences in normal and BS cells. No specific DNA hypomethylation in either total blood or lymphoblastoid cell lines from BS patients has been detected, suggesting that the genomic instability observed in BS is not directly related to a major DNA demethylation of the total CCGG sites, or of Alu or chromosome 1 satellite 2 repeated sequences.
Base Sequence↗