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At least 19 recordsLinked to original sources
PubMed2026

CpGene: a web application for epigenetic signature identification from DNA methylation arrays.

MOTIVATION: DNA methylation (DNAme) is the best studied epigenetic mechanism that plays pivotal role in tissue differentiation and epigenetic disruption has been correlated to diverse disease types (e.g. cancer, metabolic disorders). While various DNAme array platforms have been discovered, data analysis remains a challenging task which often requires in-depth bioinformatic expertise. Here, we developed a user-friendly web-based application for data analysis and visualization that accommodates users ranging from early-career basic/translational researchers to experienced bioinformaticians. RESULTS: CpGene is a web application for analyzing DNA methylation array data. It supports Illumina 450K, EPIC, and EPICv2 methylation array platforms and processes .idat files with integrated preprocessing, normalization, and quality control. Biomarker discovery is available through either classic differential methylation point analysis or machine learning-based feature selection as well as gene enrichment analysis. Results are summarized with clear visualizations, to aid interpretation. By combining these functions in a unified interface, CpGene streamlines methylation analysis and helps identify CpG sites and genes with biological and clinical relevance. AVAILABILITY AND IMPLEMENTATION: CpGene is openly accessible as a web service through http://cpgene.duckdns.org:8001/ and it's source code is available on https://github.com/kostaslazaros/cpgenene.

DNA Methylation↗
PubMed2004

High throughput screening of methylation status of genes in prostate cancer using an oligonucleotide methylation array.

Recent work using high-throughput microarray technology has discovered altered expression of a large number of genes in prostate cancer. Many of these alterations may be the consequence of changes in methylation status in the CpG islands of promoter or exon 1 regions of these genes. In order to determine the methylation status of a large number of genes and ESTs we combined the principle of match/mismatch hybridization with the technique of whole genome labeling to develop a highly specific oligonucleotide-based methylation microarray. Using this array, we analyzed the methylation status of 105 genes and ESTs in three prostate cancer cell lines. Between 32 and 47% of these genes and ESTs were methylated in these cell lines. By correlating the methylation status of this array with the results of Affymetrix expression arrays of three prostate cancer cell lines, we determined that methylation of genes played a significant role (37%) in down-regulating the expression of certain genes in prostate cancer. We also tested this array on a number of primary prostate tissue samples. Our results indicated that a subset of genes in this microarray (25/105) were methylated in all prostate cancer samples but not in normal prostate, suggesting the potential significance of alterations in the methylation status of certain genes in the development of prostate cancer.

Acetylation↗
PubMed2005

Methylation-associated silencing of the nuclear receptor 1I2 gene in advanced-type neuroblastomas, identified by bacterial artificial chromosome array-based methylated CpG island amplification.

To identify genes whose expression patterns are altered by methylation of DNA, we established a method for scanning human genomes for methylated DNA sequences, namely bacterial artificial chromosome array-based methylated CpG island amplification (BAMCA). In the course of a program using BAMCA to screen neuroblastoma cell lines for aberrant DNA methylation compared with stage I primary neuroblastoma tumors, we identified CpG methylation-dependent silencing of the nuclear receptor 1I2 (NR1I2) gene. NR1I2 was methylated in a subset of neuroblastoma cell lines and also in advanced-stage primary tumors with amplification of MYCN. Its methylation status was inversely associated with gene expression. Treatment with the demethylating agent 5-aza-2'-deoxycytidine restored NR1I2 transcription in neuroblastoma cell lines lacking endogenous expression of this gene. A CpG island located around exon 3 of NR1I2 showed promoter activity, and its methylation status was clearly and inversely correlated with NR1I2 expression status. The gene product, NR1I2, has a known function in regulating response to xenobiotic agents but it also suppressed growth of neuroblastoma cells in our experiments. We identified some possible transcriptional targets of NR1I2 by expression array analysis. The high prevalence of NR1I2 silencing by methylation in aggressive neuroblastomas, together with the growth-suppressive activity of NR1I2, suggests that this molecule could serve as a diagnostic marker to predict prognosis for neuroblastomas.

Cell Line, Tumor↗
PubMed2003

Methylation target array for rapid analysis of CpG island hypermethylation in multiple tissue genomes.

Hypermethylation of multiple CpG islands is a common event in cancer. To assess the prognostic values of this epigenetic alteration, we developed Methylation Target Array (MTA), derived from the concept of tissue microarray, for simultaneous analysis of DNA hypermethylation in hundreds of tissue genomes. In MTA, linker-ligated CpG island fragments were digested with methylation-sensitive endonucleases and amplified with flanking primers. A panel of 468 MTA amplicons, which represented the whole repertoire of methylated CpG islands in 93 breast tumors, 20 normal breast tissues, and 4 breast cancer cell lines, were arrayed on nylon membrane for probe hybridization. Positive hybridization signals detected in tumor amplicons, but not in normal amplicons, were indicative of aberrant hypermethylation in tumor samples. This is attributed to aberrant sites that were protected from methylation-sensitive restriction and were amplified by PCR in tumor samples, while the same sites were restricted and could not be amplified in normal samples. Hypermethylation frequencies of the 10 genes tested in breast tumors and cancer cell lines were 60% for GPC3, 58% for RASSF1A, 32% for 3OST3B, 30% for HOXA5, 28% for uPA, 25% for WT1, 23% for BRCA1, 9% for DAPK1, and 0% for KL. Furthermore, hypermethylation of 5 to 7 loci of these genes was significantly correlated with hormone receptor status, clinical stages, and ages at diagnosis of the patients analyzed. This novel approach thus provides an additional avenue for assessing clinicopathological consequences of DNA hypermethylation in breast cancer.

Breast Neoplasms↗
PubMed2025

Whole methylomes reveal high-altitude-associated methylation at hypoxia and pigmentation genes in South American Indigenous populations.

High-altitude adaptation in Andean populations has traditionally been studied through the lens of genetic variation, with limited exploration of epigenetic mechanisms such as DNA methylation. Here, we present the first whole-methylome data comparing Indigenous populations residing in high-altitude regions of the Ecuadorian Andes to those in low-altitude Peruvian Amazon regions bordering the Andes. By leveraging whole-methylome sequencing rather than methylation arrays, we achieved an unprecedented resolution of epigenetic variation, revealing novel insights into altitude-associated adaptations. We identified significant differentially methylated regions in genes involved in hypoxia response and skin pigmentation that differ from patterns previously observed in high-altitude Tibetan individuals [Lin et al. (Genome-wide DNA methylation landscape of four Chinese populations and epigenetic variation linked to Tibetan high-altitude adaptation. Science China Life Sciences 2023;66:2354-69. https://doi.org/10.1007/s11427-022-2284-8.)]. Our findings highlight the influence that altitude-specific environmental pressures, such as hypoxia and ultraviolet radiation, can have on the epigenetic landscapes observed between human populations. Importantly, we uncovered unique regulatory methylation signatures in the hypoxia response pathways of Andean populations, underscoring a distinct epigenetic trajectory compared to other high-altitude groups. This study represents a step forward in understanding Indigenous American genomic plasticity and demonstrates the value of whole-methylome data over methylation arrays in capturing the complex interplay between epigenetics and the environment. These results support a new approach to studying altitude plasticity and underscore the critical role of epigenetics in shaping population-specific cellular responses in Indigenous communities.

UV response↗
PubMed2026

Epigenetic and immunological alterations in umbilical cord blood of overweight/obese women with gestational diabetes mellitus: insights into DNA methylation signatures and immune cell dysregulation.

BACKGROUND: Gestational diabetes mellitus (GDM) is a common pregnancy complication associated with adverse maternal and neonatal outcomes. Epigenetic modifications may reflect intrauterine metabolic exposure and contribute to immune and metabolic alterations. This study aimed to explore DNA methylation profiles in umbilical cord blood from overweight and obese women with and without GDM. METHODS: Umbilical cord blood samples from 30 overweight/obese pregnant women (with and without GDM) were analyzed using the Illumina 850&#xa0;K methylation array to identify differentially methylated positions (DMPs) and regions (DMRs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to assess the functional relevance of methylation changes. Immune cell composition was estimated using deconvolution analysis and further examined in an independent single-cell RNA sequencing (scRNA-seq) cohort. Lasso regression was applied to identify CpG sites associated with GDM status and construct a preliminary methylation-based classification model. RESULTS: A total of 23,331 hypermethylated and 29,501 hypomethylated DMPs were identified between women with and without GDM, with hypomethylation predominating. Enrichment analyses indicated associations with neurodevelopmental pathways, metabolic processes, immune regulation, and epigenetic modification. Immune deconvolution analysis suggested reduced proportions of CD4+ T cells (p&#x2009;<&#x2009;0.05) and a trend toward decreased NK cells in the GDM group, alongside increased CD8+ T cells and neutrophils. Seven CpG sites were selected for model construction and demonstrated strong discriminatory performance within this cohort. CONCLUSION: This exploratory study identifies distinct cord blood DNA methylation patterns associated with GDM in overweight/obese pregnancies. The findings suggest potential links between epigenetic alterations and immune cell composition in GDM-exposed offspring. The identified CpG signature warrants further validation in larger, prospective cohorts to determine its clinical applicability.

Humans↗
PubMed2006

High-resolution mapping of DNA methylation in human genome using oligonucleotide tiling array.

DNA methylation is an epigenetic mark crucial in regulation of gene expression. Aberrant DNA methylation causes silencing of tumor suppressor genes and promotes chromosomal instability in human cancers. Most of previous studies for DNA methylation have focused on limited genomic regions, such as selected genes or promoter CpG islands (CGIs) containing recognition sites of methylation-sensitive restriction enzymes. Here, we describe a method for high-resolution analysis of DNA methylation using oligonucleotide tiling arrays. The input material is methylated DNA immunoprecipitated with anti-methylcytosine antibodies. We examined the ENCODE region ( approximately 1% of human genome) in three human colorectal cancer cell lines and identified over 700 candidate methylated sites (CMS), where 24 of 25 CMS selected randomly were subsequently verified by bisulfite sequencing. CMS were enriched in the 5' regulatory regions and the 3' regions of genes. We also compared DNA methylation patterns with histone H3 and H4 acetylation patterns in the HOXA cluster region. Our analysis revealed no acetylated histones in the hypermethylated region, demonstrating reciprocal relationship between DNA methylation and histone H3 and H4 acetylation. Our method recognizes DNA methylation with little bias by genomic location and, therefore, is useful for comprehensive high-resolution analysis of DNA methylation providing new findings in the epigenomics.

Acetylation↗
PubMed2026

Characterization of DNA methylation in PBMCs and donor-matched iPSCs shows age-related methylation is reset during stem cell reprogramming.

DNA methylation is an important epigenetic mechanism that helps define and maintain cellular functions. It is influenced by many factors, including environmental exposures, genotype, cell type, sex, and aging. Since age is the primary risk factor for developing neurodegenerative diseases, it is important to determine if age-related DNA methylation is retained when cells are reprogrammed to an induced Pluripotent Stem Cell (iPSC) state. Here, we selected peripheral blood mononuclear cells (PBMCs; n&#x2009;=&#x2009;99) from a cohort of diverse and healthy individuals enrolled in the Genetic and Epigenetic Signatures of Translational Aging Laboratory Testing (GESTALT) study to reprogram to iPSCs. After reprogramming, the resulting iPSCs were evaluated for DNA methylation signatures to determine if they reflect the confounding factors of aging and environmental effects. Data from genome-wide DNA methylation arrays in both cell types showed that age-related methylation measured by epigenetic clocks is largely reset to an early methylation age after reprogramming of PBMCs to iPSCs. We further examined the epigenetic age of each cell type using an Epigenome-wide Association Study (EWAS) and identified a set of methylation Quantitative Trait Loci in each cell type. Our results show that age-related DNA methylation is largely reset in iPSCs, and each cell type has a unique set of methylation sites that are modified by population-level genetic variation.

DNA Methylation↗
PubMed1998

Methylated DNA and MeCP2 recruit histone deacetylase to repress transcription.

CpG methylation in vertebrates correlates with alterations in chromatin structure and gene silencing. Differences in DNA-methylation status are associated with imprinting phenomena and carcinogenesis. In Xenopus laevis oocytes, DNA methylation dominantly silences transcription through the assembly of a repressive nucleosomal array. Methylated DNA assembled into chromatin binds the transcriptional repressor MeCP2 which cofractionates with Sin3 and histone deacetylase. Silencing conferred by MeCP2 and methylated DNA can be relieved by inhibition of histone deacetylase, facilitating the remodelling of chromatin and transcriptional activation. These results establish a direct causal relationship between DNA methylation-dependent transcriptional silencing and the modification of chromatin.

Amino Acid Sequence↗
PubMed2025

Methylation-based droplet digital polymerase chain reaction shows high concordance with chronic lymphocytic leukemia IGHV somatic mutation status.

OBJECTIVE: Somatic hypermutation at immunoglobulin heavy chain variable (IGHV) genes, an established prognostic and predictive biomarker for chronic lymphocytic leukemia (CLL), is assessed by gene sequencing. We developed a single methylation-specific droplet digital polymerase chain reaction (methyl-ddPCR) to predict IGHV status in patients with CLL. METHODS: The CLL methylation array and IGHV data from the International Cancer Genome Consortium (ICGC) were used for biomarker discovery. Top-ranked candidate regions were manually screened for PCR primer and probe binding sites. A single methyl-ddPCR was evaluated on an internal cohort of CLLs with mutated (M), unmutated (U), and inconclusive IGHV results originally determined by next-generation sequencing (NGS). RESULTS: Analysis of ICGC data identified array probe cg23844018 as a candidate for the PCR. The corresponding CpG site showed high methylation levels in U-CLL and lower levels in M-CLL. On the internal cohort, a single optimal cutoff correctly classified 104 of 115 U- and M-CLLs (90.4%; area under the curve&#x2005;=&#x2005;0.96). The PCR data correlated with some prognostic fluorescence in situ hybridization and CLL subset groupings. Limited analysis suggests that the PCR may be able to stratify some patients with CLL who have inconclusive results on IGHV NGS testing. CONCLUSIONS: The methyl-ddPCR showed high concordance with CLL IGHV status in an internal cohort.

Humans↗
PubMed2025

Altered DNA Methylation Pattern Contributes to Differential Epigenetic Immune Signaling in the Upper Respiratory Airway of Unvaccinated COVID-19 Patients.

SARS-CoV-2 infection remains a global health concern, with its impact on host immune responses not fully understood. In a case-control study, we examined how COVID-19 affects DNA methylation patterns in the upper respiratory airway of hospitalized individuals. DNA methylation arrays were performed on nasopharyngeal samples at inclusion/hospitalization and 6 weeks post-inclusion. We found a distinct DNA methylation pattern in COVID-19 patients compared to healthy controls, identifying 510,099 differentially methylated CpGs. Within the transcription start sites (TSSs) and gene body, COVID-19 patients displayed a higher number of genes/CpGs with elevated methylation levels. Enrichment analysis of TSS-methylated genes revealed effects of SARS-CoV-2 on genes associated with type I interferons, anti-viral and inflammatory responses, and immune functions. Some CpG methylations were transient, and normalized at group level by 6 weeks post-inclusion. Several IFN-regulated genes, including OAS1, OAS3, IFIT3, and MX1, were identified. Among the top regulators were IL17A and ERK1/2, both involved in inflammatory processes. Networks nodes included IGF1 and EGF, associated with processes including tissue repair and activation of immune responses. Overall, our data suggests that COVID-19 can impact the upper airway by modifying gene methylation patterns. This could have implications for conditioning of the airways, how individuals respond to future airway infections, and therapeutic interventions.

Humans↗
PubMed2026

ReMeDy: A Flexible Statistical Framework for Region-Based Detection of DNA Methylation Dysregulation.

Region-based epigenome-wide association studies have demonstrated improved statistical power and biological interpretability compared with probe-wise analyses of DNA methylation data. However, most existing region-based methods characterize methylation dysregulation primarily through changes in mean methylation levels associated with a phenotype of interest. Substantial evidence indicates that phenotype-associated methylation alterations may also manifest through changes in methylation variability or through joint shifts in mean and variability. Despite this, no existing statistical framework jointly models mean-variance methylation changes in a region-based manner. We propose ReMeDy, a flexible statistical framework that uses a hierarchical likelihood approach within a generalized linear model setting to identify differentially methylated regions, variably methylated regions, and regions exhibiting joint differential and variable methylation at a genome-wide scale. Unlike existing models, ReMeDy operates directly on biologically defined co-methylated regions, allowing it to naturally capture spatial correlation inherent in DNA methylation array data, while avoiding reliance on heuristic, user-defined tuning parameters such as smoothing spans and kernel bandwidths that can substantially influence results and introduce subjectivity. Through extensive simulation studies and comprehensive benchmarking against popular models, we demonstrate that ReMeDy maintains false discovery and Type-I error rates at nominal levels while achieving consistently higher statistical power across a wide range of realistic scenarios. Application to population-level DNA methylation data further shows that ReMeDy identifies biologically meaningful regions and pathways implicated in complex human diseases that are not captured by conventional mean-based analyses alone. ReMeDy is implemented as an open-source R package and is freely available at https://github.com/SChatLab/ReMeDy.

DNA Methylation↗
PubMed2025

Epigenetic regulation of HOXA2 expression affects tumor progression and predicts breast cancer patient survival.

Accumulating evidence suggests that genetic and epigenetic biomarkers hold potential for enhancing the early detection and monitoring of breast cancer (BC). Epigenetic alterations of the Homeobox A2 (HOXA2) gene have recently garnered significant attention in the clinical management of various malignancies. However, the precise role of HOXA2 in breast tumorigenesis has remained elusive. To address this point, we conducted high-throughput RNA sequencing and DNA methylation array studies on laser-microdissected human BC samples, paired with normal tissue samples. Additionally, we performed comprehensive in silico analyses using large public datasets: TCGA and METABRIC. The diagnostic performance of HOXA2 was calculated by means of receiver operator characteristic curves. Its prognostic significance was assessed through immunohistochemical studies and Kaplan-Meier Plotter database interrogation. Moreover, we explored the function of HOXA2 and its role in breast carcinogenesis through in silico, in vitro, and in vivo investigations. Our work revealed significant hypermethylation and downregulation of HOXA2 in human BC tissues. Low HOXA2 expression correlated with increased BC aggressiveness and unfavorable patient survival outcomes. Suppression of HOXA2 expression significantly heightened cell proliferation, migration, and invasion in BC cells, and promoted tumor growth in mice. Conversely, transgenic HOXA2 overexpression suppressed these cellular processes and promoted apoptosis of cancer cells. Interestingly, a strategy of pharmacological demethylation successfully restored HOXA2 expression in malignant cells, reducing their neoplastic characteristics. Bioinformatics analyses, corroborated by in vitro experimentations, unveiled a novel implication of HOXA2 in the lipid metabolism of BC. Specifically, depletion of HOXA2 leaded to a concomitantly decreased expression of PPAR&#x3b3; and its target CIDEC, a master regulator of lipid droplet (LD) accumulation, thereby resulting in reduced LD abundance in BC cells. In summary, our study identifies HOXA2 as a novel prognosis-relevant tumor suppressor in the mammary gland.

Humans↗
PubMed2026

Multiomic approaches identify a rare CCG repeat expansion in BCLAF3 in neurodevelopmental disorders.

BACKGROUND: Tandem repeat expansions have been implicated in various neurological conditions. Here, we present a novel hypermethylated CCG repeat expansion on Xp22 in the 5'UTR of BCLAF3 in males with neurodevelopmental disorders. METHODS: We used patient-derived fibroblasts and neuronal models from a family with BCLAF3 repeat expansions to generate multiomic data and investigate downstream molecular consequences of the repeat expansion. To identify additional affected individuals with BCLAF3 repeat expansions, we screened methylation arrays (n&#x2009;=&#x2009;12,375) and short-read genomes (n&#x2009;=&#x2009;15,963) from probands with neurodevelopmental presentations. We also characterized BCLAF3 repeat expansions in the general population using long-read sequencing data (n&#x2009;=&#x2009;793) and population-level short-read sequencing data (n&#x2009;=&#x2009;410,076). RESULTS: Long-read sequencing validated hypermethylation of expanded repeats. Patient-derived cells showed repressed BCLAF3 RNA and protein expression. We show that the BCLAF3 CCG repeat expansion constitutes a previously uncharacterized fragile site (FRAXG) that shifts the surrounding chromatin compartment from open euchromatin to closed heterochromatin. Using our multiomic screening approaches, we identified three additional unrelated males and one related male cousin with long-read sequencing validated (n&#x2009;=&#x2009;2) or short-read sequencing predicted (n&#x2009;=&#x2009;2) repeat expansions. In one family, the BCLAF3 repeats segregate with more severe phenotypes than expected for the primary diagnoses. Long-read sequencing in three carrier mothers showed skewed X-inactivation against the repeat expansion, highlighting the potential deleterious effect of an allele with an expansion. Expansions were absent in long-read sequencing data from control populations. Assessment of the BCLAF3 repeat expansion in the UK Biobank indicates that it may be ~&#x2009;20X rarer than FMR1 repeat expansions. CONCLUSIONS: CCG repeat expansions in the 5'UTR of BCLAF3 likely constitute a novel genetic etiology associated with X-linked neurodevelopmental phenotypes in males. Future work will be essential to delineate the phenotypic spectrum and determine a disease pathomechanism.

BCLAF3↗
PubMed1987

Effects of methyl mercury on arrays of microtubules and macromolecular synthesis in Daucus carota cultures.

Cell suspension cultures of Daucus carota were exposed to methyl mercury at concentrations between 0 and 6 micrograms/ml for 1, 3, or 24 hr. Microtubule arrays exhibited no detectable disruption (as compared with controls) when treated with 1, 2, and 3 micrograms/ml methyl mercury. Disorganization of microtubules did occur at higher concentrations (4-6 micrograms/ml) in a concentration/time-dependent manner. No recovery of microtubule arrays was evident when cells were placed in methyl mercury-free medium for up to 7 days. Analyses of soluble protein and carbohydrate content, dry weight, and cell viability (reducing capacity) indicate that methyl mercury exposure has inhibitory effects on cell metabolism. The observed disruption of plant cell microtubules, induced by exposure to methyl mercury, may be secondary in response to an initial inhibition of synthetic pathways and membrane perturbations.

Carbohydrate Metabolism↗
PubMed2005

Multiplexed profiling of candidate genes for CpG island methylation status using a flexible PCR/LDR/Universal Array assay.

DNA methylation in CpG islands is associated with transcriptional silencing. Accurate determination of cytosine methylation status in promoter CpG dinucleotides may provide diagnostic and prognostic value for human cancers. We have developed a quantitative PCR/LDR/Universal Array assay that allows parallel evaluation of methylation status of 75 CpG dinucleotides in the promoter regions of 15 tumor suppressor genes (CDKN2B, CDKN2A, CDKN2D, CDKN1A, CDKN1B, TP53, BRCA1, TIMP3, APC, RASSF1, CDH1, MGMT, DAPK1, GSTP1, and RARB). When compared with an independent pyrosequencing method at a single promoter, the two approaches gave good correlation. In a study using 15 promoter regions and seven blinded tumor cell lines, our technology was capable of distinguishing methylation profiles that identified cancer cell lines derived from the same origins. Preliminary studies using 96 colorectal tumor samples and 73 matched normal tissues indicated CpG methylation is a gene-specific and nonrandom event in colon cancer. This new approach is suitable for clinical applications where sample quantity and purity can be limiting factors.

Cell Line, Tumor↗
PubMed2006

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.

Base Sequence↗