Methylation Patterns Research Articles

Changes in global methylation patterns of Mytilus galloprovincialis exposed to microplastics

Microplastics (MPs) disturb the normal activity of aquatic organisms at different levels, causing physiological stress and altering feeding, growth, and reproduction. Alterations of epigenetic patterns due to exposure to MPs have scarcely been studied in invertebrates. In this study, Mytilus galloprovincialis mussels (N = 61) were intermittently exposed to different concentrations of pure polystyrene microbeads for three weeks. The concentrations used in this research were similar to those currently found in certain polluted environments (E1), as well as higher doses to which mussels could be further exposed (E2 and E3). After exposure period, the global methylation patterns were investigated using Amplified Fragment Length Polymorphism (AFLPs). Significantly lower methylation was found in exposed groups compared to the control group. The level of hypomethylation increased with the concentration of microbeads. Similar results were found from field samples inhabiting two sites differentially MPs-polluted. The implications of this discovery were analysed and discussed, noting the already known effects of MPs on metabolism and cell division. Further studies on this and other sentinel organisms are recommended to understand the response of the aquatic species to the currently increasing MPs pollution.

Methylome-wide association study of adolescent depressive episode with psychotic symptoms and childhood trauma

BackgroundEmerging evidence suggests that DNA methylation is crucial in the mental disorder pathophysiology. The current study attempted to identify the dysregulation of DNA methylation patterns in adolescent patients suffering from depressive episodes (DE) while considering the impact of various subtypes, including psychotic symptoms and a history of childhood trauma. MethodsThe study included 67 patients with DE and 30 healthy controls (HCs) subjects. Severe depressive episode (SDE) patients were grouped according to psychotic symptoms, such as SDE with vs. SDE without psychotic symptoms (cases 29 vs. 21). The Childhood Trauma Questionnaire-Short Form helped assess childhood trauma among all patients. Thus, all the patients were divided into adolescent DE experiencing ≥ two trauma types vs. experiencing ≤ one trauma type (cases, 50 vs. 17). Methylome-wide analysis was conducted on peripheral blood to identify methylation differences in CpG sites for three comparisons: DE vs. HCs, SDE patients with vs. without psychotic symptoms, and DE patients having 0–1 type of childhood trauma vs. those having ≥two types of childhood trauma. ResultsAdolescent DE patients demonstrated a predominant trend of lower methylation levels than HCs, with 259 hypermethylated and 3956 hypomethylated sites. Differentially hypomethylated sites involve related genes such as FKBP5, BDNF, NR3C1, GABRB3, SHANK1, SLC38A1, SLC6A18, CHRNB1, CTNNA2, CTTNBP2, etc. All these genes could be involved in DE pathogenesis. Significant DNA methylation changes could be observed in SDE subgroups with and without psychotic symptoms (e.g., genes like DTNB, CNTN1, CTNNA2), along with those DE patients having 0–1 type of childhood trauma compared to those with ≥2 types (e.g., VWA3B, SYT10, SDK2, CAMSAP3). Many significant methylated sites were associated with genes involved in brain development, highlighting the potential pathophysiological mechanisms linked with DE and its subtypes, such as psychotic symptoms and childhood trauma. ConclusionOur findings suggest that differential DNA methylation is associated with the pathophysiology of DE, as well as the presence of psychotic symptoms and a history of childhood trauma. These blood-based methylation patterns may serve as biomarkers for DE and shed light on underlying mechanisms across these subtypes.

Genome-wide DNA methylation regulated by AHCY through SAM / SAH axis promotes psoriasis pathogenesis

BackgroundPsoriasis is a chronic inflammatory skin disease that affects a significant proportion of the global population. The involvement of S-adenosine homocysteine hydrolase (AHCY) in psoriasis and its impact on DNA methylation have not been extensively studied. ObjectiveThis study aimed to investigate the role of AHCY and its impact on DNA methylation in psoriasis pathogenesis. MethodsIn the present study, we investigated the expression of AHCY in psoriatic lesions and assessed its association with the severity of the disease. Moreover, knockdown experiments were conducted to elucidate the impact of AHCY on psoriatic symptoms, keratinocyte proliferation, and aberrant differentiation. Furthermore, alterations in DNA methylation patterns resulting from AHCY knockdown were analyzed. ResultsOur findings revealed that AHCY was upregulated in psoriatic lesions and exhibited a positive correlation with disease severity. Knockdown of AHCY alleviated psoriatic symptoms, inhibited keratinocyte proliferation, and prevented abnormal differentiation. Moreover, AHCY knockdown led to reduced levels of DNA methylation and alterations in methylation patterns. Notably, differential methylation was observed at specific gene loci associated with psoriasis-related inflammation. ConclusionThis study highlights the potential role of AHCY in psoriasis development through its influence on DNA methylation. The findings underscore the complex interaction among AHCY, epigenetic modifications, and inflammation in the pathogenesis of psoriasis. Consequently, AHCY may serve as a promising therapeutic target for psoriasis treatment.

SNRPB2 in the pan-cancer landscape: A bioinformatics exploration and validation in hepatocellular carcinoma

Aberrant splicing is a significant contributor to gene expression abnormalities in cancer. SNRPB2, a component of U2 small nuclear ribonucleoprotein particles (snRNPs), contributes to the assembly of the spliceosome, the molecular machinery responsible for splicing. To date, few studies have investigated the role of SNRPB2 in tumorigenesis. We examined data sourced from various public databases, such as The Cancer Genome Atlas(TCGA), the Clinical Proteomic Tumor Analysis Consortium(CPTAC), and Gene Expression Omnibus(GEO). Our investigation included gene expression, genomic and epigenomic scrutiny, gene set enrichment assessment(GSEA), and immune cell infiltration evaluation. Furthermore, we performed empirical validation to ascertain the impact of SNRPB2 suppression on the proliferation and migration of liver cancer cells. Analysis of gene expression revealed widespread upregulation of SNRPB2 across a spectrum of cancer types, with heightened levels of SNRPB2 expression in numerous tumors linked to unfavorable prognosis. Genomic and epigenomic assessments revealed connections between SNRPB2 expression and variations in SNRPB2 copy number, DNA methylation patterns, and RNA modifications. Through gene set enrichment analysis, the involvement of SNRPB2 in vital biological processes and pathways related to cancer was identified. Furthermore, scrutiny of immune cell infiltration suggested a potential relationship between SNRPB2 and the tumor microenvironment, which was reinforced by multiple single-cell sequencing profiles. Subsequent experimental validation revealed that silencing SNRPB2 effectively impeded the proliferation and migration of liver cancer cells. Taken together, these findings underscore the prospective utility of SNRPB2 as a prognostic biomarker and a promising candidate for immunotherapy in cancer. It is necessary to engage in additional exploration into its underlying mechanisms and clinical treatment potential.

NRN1 genetic variability and methylation changes as biomarkers for cognitive remediation therapy response in schizophrenia

Cognitive remediation therapy (CRT) demonstrates potential in enhancing cognitive function in schizophrenia (SZ), though the identification of molecular biomarkers remains challenging. The Neuritin-1 gene (NRN1) emerges as a promising candidate gene due to its association with SZ, cognitive performance and response to neurotherapeutic treatments. We aimed to investigate whether NRN1 genetic variability and methylation changes following CRT are related to cognitive improvements.Twenty-five SZ patients were randomly assigned to CRT or treatment-as-usual (TAU) groups, with cognitive function and NRN1 methylation assessed pre- and post-intervention using the MATRICS Consensus Cognitive Battery and EpiTYPER. Besides, eleven NRN1 polymorphisms were genotyped. Methylation changes (Δm = post - pre) were analyzed via sparse Partial Least Square Discriminant Analysis (sPLS-DA) to identify latent components (LCs) distinguishing CRT from TAU. To further explore methylation patterns of these LCs, CpG units were grouped into two subsets, yielding Δm means for those with increased and decreased methylation. Cognitive changes (Δcog = post - pre) were used to identify CRT improvers (CRTI, Δcog ≥1), and the association between methylation changes and cognitive improvements post-therapy was also tested.We identified two LCs that differentiated CRT from TAU with a classification error rate of 0.28. The main component, LC1, included 25 CpG units. The subsets of CpG units with increased and decreased post-therapy methylation differed significantly between the two treatment arms, suggesting that differences were not merely data-driven but reflected meaningful biological variation. Additionally, CpG units linked to therapy were also associated with cognitive improvement, with LC1 and the subset of CpG units showing increased methylation post-therapy distinguishing CRT-I from the rest of the patients across multiple cognitive domains. Furthermore, the effect of LC1 on speed processing improvement after CRT was enhanced by considering the NRN1-rs9405890 polymorphism. Notably, these CpG units, particularly those with increased methylation after CRT, overlapped with key gene regulatory elements.Our model, integrating genetics and epigenetics, boosts the understanding of CRT response variability and highlights this multi-level approach as a promising strategy for identifying potential NRN1-related biomarkers of CRT effects, though further studies with larger samples are needed.

Multi-site DNA methylation alterations of peripheral blood mononuclear cells serve as novel biomarkers for the diagnosis of AIS/stage I lung adenocarcinoma: A multi-center cohort study.

Early diagnosis remains an obstacle for improving the outcome of lung adenocarcinoma (LUAD). DNA methylation changes in peripheral blood mononuclear cells (PBMCs) could reflect immune response to tumorigenesis, providing the theoretical basis for early cancer diagnosis based on immune cell profiling. This multi-center study evaluated the DNA methylation patterns based on PBMCs samples from 1115 individuals at nine medical centers. Genome-wide DNA methylation profiling of PBMCs in a discovery cohort (35 LUAD patients and 50 healthy controls) was performed using Illumina 850K microarray. Candidate differentially methylated CpG positions (DMPs) were selected and validated in a two-step DMPs screening cohort (65 LUAD patients and 80 healthy controls) by pyrosequencing and multiple target region methylation enrichment sequencing (MTRMES). Then, an early LUAD Diagnostic Panel (LDP score) based on multi-site methylation-specific chip-based digital PCR was constructed in a training set and then confirmed in a validation set from the LDP score development cohort (389 AIS/stage I LUAD patients and 293 healthy controls). Besides, we included 157 other cancer patients, including 52 gastric cancer (GC) patients, 50 breast cancer (BC) patients, and 55 colorectal cancer (CRC) patients to assess the specificity of LDP score. In addition, we also evaluated the early warning ability of LDP score for LUAD in a prospective cohort (46 people who were at high-risk of developing LC). A total of 1415 LUAD-specific DMPs were identified. Then, six DMPs were selected for validation and three DMPs were finally verified. The LDP score was constructed by combining the three DMPs, age, and gender, and showed an AUC of 0.916, sensitivity of 88.17%, and specificity of 80.20% in combined set, outperforming traditional methods, such as CEA and CT (detection rate: 87.79% vs. 4.69%; 87.79% vs. 35.21%). This diagnostic performance was confirmed in sub-types of LUAD with clinical challenges, such as 6-20mm LUAD (AUC: 0.914, 95%CI: 0.889-0.934) and ground-glass nodules (AUC: 0.916, 95%CI: 0.889-0.938). Importantly, our LDP score had significant improvement in terms of selecting high-risk individuals who should receive low-dose computed tomography (87.80% vs. 9.28%). Remarkably, LDP score could predict LUAD around two years before clinical diagnosis in our prospective cohort. The novel developed LDP score represented a convenient and effective assay for the detection of AIS/stage I LUAD with high sensitivity and specificity, and had demonstrated unique advantages over traditional detection methods.

Skin Rejuvenation by Modulation of DNA Methylation.

Skin aging is driven by a complex set of cellular pathways. Among these, epigenetic mechanisms have garnered particular attention, because of their sensitivity to environmental and lifestyle factors. DNA methylation represents the longest known and best understood epigenetic mechanism. We explain how DNA methylation might function as an interface between the environment and the genome of human skin. Exposures to different environmental factors and lifestyles are known to modulate age-related methylation patterns, as illustrated by their effect on DNA methylation clocks. Human skin provides a particularly well-suited tissue for understanding age-related methylation changes and it has been shown recently that modulation of DNA methylation can induce skin rejuvenation. We explain how the use of mildly demethylating agents can be safeguarded to ensure the specific removal of age-related DNA methylation changes. We also identify important areas of future research, leading to a deeper understanding of the mechanisms that drive epigenetic aging and to the development of further refined intervention strategies.

Epigenetic Implications of Socioeconomic Status and Education on Sperm DNA Methylation Patterns

To identify differentially methylated regions (DMRs) and assess epigenetic age and instability scores within each cohort of differing income level and educational attainment. Retrospective analysis of epigenetic data. 1429 semen samples from participants in the FAZST trial. Socio-economic status, approximated by self-reported income, and education level. Differential sperm DNA methylation, epigenetic age, epigenetic stability RESULTS: There were four significant DMRs associated with the income cohorts and seven associated with the education cohorts, suggesting epigenetic patterns vary with socio-economic status. Adjusted epigenetic age (GLAD values) did not differ significantly in either cohort; however, a higher number of unstable promoters were observed in the lowest education cohort (p-value of 0.006), indicating dysregulation in the epigenome. These findings suggest a biological link between income and education level in sperm epigenetic patterns, which may influence reproductive health. The increase in unstable promoters in the lower education cohorts may contribute to health disparities associated with educational attainment; however, it is important to consider lifestyle factors and environmental exposures as potential underlying causes. Further research is needed to fully elucidate the implications of these epigenetic changes and their relationship to health outcomes.

An integrative analysis to identify pancancer epigenetic biomarkers

Integrating and analyzing the pancancer data collected from different experiments is crucial for gaining insights into the common mechanisms in the molecular level underlying the development and progression of cancers. Epigenetic study of the pancancer data can provide promising results in biomarker discovery. The genes that are epigenetically dysregulated in different cancers are powerful biomarkers for drug-related studies. This paper identifies the genes having altered expression due to aberrant methylation patterns using differential analysis of TCGA pancancer data of 12 different cancers. We identified a comprehensive set of 115 epigenetic biomarker genes out of which 106 genes having pancancer properties. The correlation analysis, gene set enrichment, protein-protein interaction analysis, pancancer characteristics analysis, and diagnostic modeling were performed on these biomarkers to illustrate the power of this signature and found to be important in different molecular operations related to cancer. An accuracy of 97.56% was obtained on TCGA pancancer gene expression dataset for predicting the binary class tumor or normal. The source code and dataset of this work are available at https://github.com/panchamisuneeth/EpiPanCan.git.

Methylation of Selected CpG-Sites of the Gene CSF1 as a Factor in Regulation of Its Expression and a Marker of Human Biological Aging

—Age-associated transformation of methylation patterns is considered to be an important predictor of human biological age. Changes in the level of CpG-dinucleotide methylation contribute to a shift in the function of a number of genes, including those associated with the functioning of the immune system. One such gene is CSF1. The protein product of this gene is associated with inflammatory aging, making it an important biomarker of age-related diseases. We studied the methylation profile of the promoter-associated CpG island of the CSF1 gene by MALDI-TOF mass spectrometry. Dependences between the character of CpG-site methylation within the investigated regions and the relative level of the gene mRNA and its protein product in people of different age groups were sought. For two CpG sites, a high level of correlation with the studied parameters is shown. A search for the landing sites of transcription factor binding sites associated with gene transcription showed that these CpG dinucleotides are part of motifs for the NFI family transcription factors and the EGR1 factor. We hypothesize that these CpG sites play an important role in the regulation of CSF1 gene expression.

Urinary concentrations of phthalate and phthalate alternative metabolites and sperm DNA methylation: A multi-cohort and meta-analysis of men in preconception studies

Phthalates are ubiquitous pollutants in the environment; however, the mechanisms of phthalate-associated reproductive disorders in men are not fully understood. The aim of this study is to investigate associations between urinary phthalate metabolite concentrations and sperm DNA methylation. The study was conducted on 697 men from three prospective pregnancy cohorts: Longitudinal Investigation of Fertility and the Environment (LIFE) Study, Sperm Environmental Epigenetics and Development Study (SEEDS), and Environment and Reproductive Health (EARTH) Study. Eighteen phthalate and two phthalate alternative metabolites were quantified by mass spectrometry in preconception urinary samples and sperm DNA methylation was measured via Illumina EPIC Array (v1). Regional methylation analyses were conducted to identify cohort-specific loci associated with urinary phthalate metabolites. Models were adjusted for age, body mass index (BMI), race, smoking status, urinary creatinine/specific gravity, and analytical batch for phthalate measurements. The cohort-specific results were meta-analyzed using METAL. Participants had an average age of 30 years, most (79.6 %) of whom had BMI>25 kg/m2 and were non-smokers (90.1 %). A total of 7,979 differentially methylated regions (DMRs; 7,979 LIFE-specific DMRs, 72 SEEDS-specific DMRs, and 23 EARTH-specific DMRs) were associated with urinary MBzP, MiBP, MMP, MCNP, MCPP, MBP, and MCOCH. Meta-analysis identified fewer DMRs than cohort-specific models: 946 DMRs were associated with MBzP, 27 DMRs associated with MiBP, and 1 DMR associated with MEHP. The majority of cohort-specific and meta-analysis-derived DMRs displayed a positive association with phthalate metabolite concentrations and were enriched in genes associated with spermatogenesis, response to hormones and their metabolism, embryonic organ development and developmental growth. In conclusion, several preconception urinary phthalate metabolites were associated with increased DNA methylation patterns in sperm. These findings provide an epigenetic pathway by which environmental phthalate exposures can impact couples’ reproductive outcomes.

Expression, DNA methylation pattern and transcription factor EPB41L3 in gastric cancer: a study of 262 cases

PurposeDNA methylation prominently inactivates tumor suppressor genes and facilitates oncogenesis. Previously, we delineated a chromosome 18 deletion encompassing the erythrocyte membrane protein band 4.1-like 3 (EPB41L3) gene, a progenitor for the tumor suppressor that is differentially expressed in adenocarcinoma of the lung-1 (DAL-1) in gastric cancer (GC).MethodsOur current investigation aimed to elucidate EPB41L3 expression and methylation in GC, identify regulatory transcription factors, and identify affected downstream pathways. Immunohistochemistry demonstrated that DAL-1 expression is markedly reduced in GC tissues, with its downregulation serving as an independent prognostic marker.ResultsHigh-throughput bisulfite sequencing of 70 GC patient tissue pairs revealed that higher methylation of non-CpGs in the EPB41L3 promoter was correlated with more malignant tumor progression and higher-grade tissue classification. Such hypermethylation was shown to diminish DAL-1 expression, thus contributing to the malignancy of GC phenotypes. The DNA methyltransferase inhibitor 5-aza-2’-deoxycytidine (5-aza-CdR) was found to partially restore DAL-1 expression. Moreover, direct binding of the transcription factor CDC5L to the upstream region of the EPB41L3 promoter was identified via chromosome immunoprecipitation (ChIP)-qPCR and luciferase reporter assays. Immunohistochemistry confirmed the positive correlation between CDC5L and DAL-1 protein levels. Subsequent RNA-seq analysis revealed that DAL-1 significantly influences the extracellular matrix and space-related pathways. GC cell RNA-seq post-5-Aza-CdR treatment and single-cell RNA-seq data of GC tissues confirmed the upregulation of AREG and COL17A1, pivotal tumor suppressors, in response to EPB41L3 demethylation or overexpression in GC epithelial cells.ConclusionIn conclusion, this study elucidates the association between non-CpG methylation of EPB41L3 and GC progression and identifies the key transcription factors and downstream molecules involved. These findings enhance our understanding of the role of EPB41L3 in gastric cancer and provide a solid theoretical foundation for future research and potential clinical applications.

DNA methylation in recovery of Maize (Zea Mays L.) from maize streak

DNA methylation influences regulation of gene expression during cell development and tissue differentiation in plants. This study therefore discussed the role of DNA methylation in the recovery of maize from Maize Streak Diseases (MSD). Bisulfite treatment and DNA sequencing methods were carried out on the 2nd, 4th 6th and 8th white to yellowish streaking leaves of five infected maize varieties (DMR-ESR-Y, TZEBR, and ART/98/SW6) to assess the disease severity using digital phenotyping. The bisulfite treatment utilizes various sensitivities of cytosine and 5-methylcytosine (5-MeC) to deamination by bisulfite under acidic conditions in which cytosine is converted to uracil, whereas 5-MeC remains unreactive. This study showed that DMR-ESR-Y variety significantly (p<0.05) tolerated best for MSD, while TZEBR and ART/98/SW6 varieties slightly tolerated MSD but were not significantly different. The analysis of the images from digital phenotyping revealed that DMR-ESR-Y variety had the highest level of resistance, followed by TZEBR while ART/98/SW6 showed mild resistance and DMR-LSR-Y had the least. The leaf length had strong positive correlation with leaf width (r=0.94), number of leaves(r=0.64), plant height (r=0.96) and stem height(r=0.96). The methylation patterns in bisulfite sequences across the same leaf positions were significantly different (p<0.05), thus suggesting that CG methylation could contribute to transcriptional gene silencing plant recovery mechanism in maize.

Different genome-wide DNA methylation patterns in CD4+ T lymphocytes and CD14+ monocytes characterize relapse and remission of multiple sclerosis: Focus on GNAS

BackgroundRelapsing-remitting multiple sclerosis (RRMS) is a most common form of multiple sclerosis in which periods of neurological worsening are followed by periods of clinical remission. RRMS relapses are caused by an acute autoimmune inflammatory process, which can occur in any area of the central nervous system. Although development of exacerbation cannot yet be accurately predicted, various external factors are known to affect its risk. These factors may trigger the pathological process through epigenetic mechanisms of gene expression regulation, first of all, through changes in DNA methylation. MethodsIn the present work, we for the first time analyzed genome-wide DNA methylation patterns in CD4+ T lymphocytes and CD14+ monocytes of the same RRMS patients in relapse and remission. The effects of the differential methylation on gene expression were studied using qPCR. ResultsWe found 743 differentially methylated CpG positions (DMPs) in CD4+ cells and only 113 DMPs in CD14+ cells. They were mostly hypermethylated in RRMS relapse in both cell populations. However, the proportion of hypermethylated DMPs (as well as DMPs located within or in close proximity to CpG islands) was significantly higher in CD4+ T lymphocytes. In CD4+ and CD14+ cells we identified 469 and 67 DMP-containing genes, respectively; 25 of them were common for two cell populations. When we conducted a search for differentially methylated genomic regions (DMRs), we found a CD4+ specific DMR hypermethylated in RRMS relapse (adj. p = 0.03) within the imprinted GNAS locus. Total level of the protein-coding GNAS transcripts in CD4+ T cells decreased significantly in the row from healthy control to RRMS remission and then to RRMS relapse (adj. p = 3.1 × 10–7 and 0.011, respectively). ConclusionOur findings suggest that the epigenetic mechanism of DNA methylation in immune cells contributes to the development of RRMS relapse. Further studies are now required to validate these results and shed light on the molecular mechanisms underlying the observed GNAS methylation and expression changes.

Abnormal Promoter Methylation of Nucleotide-Binding Oligomerization Domain Containing 2 (NOD2) Gene in the Pathogenesis of Crohn’s Disease

Background: Changes in the expression of nucleotide-binding oligomerization domain containing 2 (NOD2) play an important role in the pathogenesis of a variety of autoimmune diseases including inflammatory bowel diseases (IBDs). Epigenetic modifications, including DNA methylation, are considered an important mechanism in the suppression of gene activity. In this study, we investigated the relationship between DNA methylation patterns of the promoter region of the NOD2 gene and the pathogenesis of Crohn’s disease (CD). Methods: Colonic mucosa samples were obtained from 15 Iranian patients with IBD and 15 age- and sexmatched healthy controls with no history of autoimmune disease. After the bisulfite conversion of genomic DNA, the DNA methylation status of three CpG sites in the promoter region of the NOD2 gene was determined by the real-time quantitative multiplex methylation-specific PCR (QM-MSP) assay. Results: Using this approach, we identified that IBD patients showed a decreased level of methylation of the NOD2 promoter in the colonic mucosa than did the healthy controls. (Unmethylated DNA in Crohn's disease vs. healthy controls; 0.128±0.093 vs. 0.025±0.016, P<0.000). Conclusion: According to our findings, promoter hypomethylation of the NOD2 gene in the colonic mucosa might contribute to the development and severity of CD. Furthermore, aberrant DNA methylation levels are expected to serve as a clinically useful risk marker.

Fine Mapping Regulatory Variants by Characterizing Native CpG Methylation with Nanopore Long-Read Sequencing.

5-methylcytosine (5mC) is the most common chemical modification occurring on the CpG sites across the human genome. Bisulfite conversion combined with short-read whole genome sequencing can capture and quantify the modification at single nucleotide resolution. However, the PCR amplification process could lead to duplicative methylation patterns and introduce 5mC detection bias. Additionally, the limited read length also restricts co-methylation analysis between distant CpG sites. The bisulfite conversion process presents a significant challenge for detecting variant-specific methylation due to the destruction of allele information in the sequencing reads. To address these issues, we sought to characterize the human methylation profiling with the nanopore long-read sequencing, aiming to demonstrate its potential for long-range co-methylation analysis with native modification call and intact allele information retained. In this regard, we first analyzed the nanopore demo data in the adaptive sampling sequencing run targeting all human CpG islands. We applied the linkage disequilibrium (LD) R2 to calculate the co-methylation in nanopore data, and further identified 27,875, 50,481, 26,542 and 51,189 methylation haplotype blocks (MHB) in COLO829, COLO829BL, HCC1395 and HCC1395BL cell lines, respectively. Interestingly, while we found that majority of the co-methylation were in a short range (≤200bp), a small portion (1~3%) showed long distance (≥1,000bp), suggesting potential remote regulatory mechanisms across the genome. To further characterize the epigenetic changes related to transcription factor binding, we profiled the 5mC percentage changes surrounding various motif sites in JASPAR collection and found that CTCF and KLF5 binding sites showed reduced methylation, while FOXE1 and ZNF354A sites showed increased methylation. To further investigate the allele-specific 5mCG in the prostate genome, we designed a target region covering methylation quantitative trait loci (mQTL) and genome-wide association study (GWAS) risk germline variants and generated long reads with adaptive sampling run in the 22Rv1 cell line. To identify the allele-specific methylation in the 22Rv1 cell line, we performed long-read based phasing and compared the 5mCG signals between the two haplotypes. As a result, we identified 6,390 haplotype-specific methylated regions in the 22Rv1 cell line (p-MWU ≤ 1e-5 and delta ≥ 50%). By examining haplotype-specific methylated regions near the phasing variants, we identified examples of allele-specific methylated regions that showed allelespecific accessibility in the ATAC-seq data. By further integrating the ATAC-seq data of 22Rv1, we found that methylation levels were negatively correlated with chromatin accessibility at the genome-wide scale. Our study has revealed native methylome profiling while preserving haplotype information, offering a novel approach to uncovering the regulatory mechanisms of the human prostate genome.

Examining the Effects of Environment, Geography, and Elevation on Patterns of DNA Methylation Across Populations of Two Widespread Bumble Bee Species.

Understanding the myriad avenues through which spatial and environmental factors shape evolution is a major focus in biological research. From a molecular perspective, much work has been focused on genomic sequence variation; however, recently there has been increased interest in how epigenetic variation may be shaped by different variables across the landscape. DNA methylation has been of particular interest given that it is dynamic and can alter gene expression, potentially offering a path for a rapid response to environmental change. We utilized whole genome enzymatic methyl sequencing to evaluate the distribution of CpG methylation across the genome and to analyze patterns of spatial and environmental association in the methylomes of two broadly distributed montane bumble bees (Bombus vancouverensis Cresson and Bombus vosnesenskii Radoszkowski) across elevational gradients in the western US. Methylation patterns in both species are similar at the genomic scale with ∼1% of CpGs being methylated and most methylation being found in exons. At the landscape scale, neither species exhibited strong spatial or population structuring in patterns of methylation, although some weak relationships between methylation and distance or environmental variables were detected. Differential methylation analysis suggests a stronger environment association in B. vancouverensis given the larger number of differentially methylated CpG's compared to B. vosnesenskii. We also observed only a handful of genes with both differentially methylated CpGs and previously detected environmentally associated outlier SNPs. Overall results reveal a weak but present pattern in variation in methylation over the landscape in both species.

DNA-binding proteins from MBD through ZF to BEN: recognition of cytosine methylation status by one arginine with two conformations.

Maintenance methylation, of palindromic CpG dinucleotides at DNA replication forks, is crucial for the faithful mitotic inheritance of genomic 5-methylcytosine (5mC) methylation patterns. MBD proteins use two arginine residues to recognize symmetrically-positioned methyl groups in fully-methylated 5mCpG/5mCpG and 5mCpA/TpG dinucleotides. In contrast, C2H2 zinc finger (ZF) proteins recognize CpG and CpA, whether methylated or not, within longer specific sequences in a site- and strand-specific manner. Unmethylated CpG sites, often within CpG island (CGI) promoters, need protection by protein factors to maintain their hypomethylated status. Members of the BEN domain proteins bind CGCG or CACG elements within CGIs to regulate gene expression. Despite their overall structural diversity, MBD, ZFand BEN proteins all use arginine residues to recognize guanine, adopting either a 'straight-on' or 'oblique' conformation. The straight-on conformation accommodates a methyl group in the (5mC/T)pG dinucleotide, while the oblique conformation can clash with the methyl group of 5mC, leading to preferential binding of unmethylated sequences.

The P(III)-Amidite Based Synthesis of Stable Isotope Labeled mRNA-Cap-Structures Enables their Sensitive Quantitation from Brain Tissue.

The 5' cap structure is crucial to mRNA function, with its diverse methylation patterns depending on the cellular state. Sensitive analytical methods are sought after to quantify this cap variety also referred to as cap epitranscriptome. To address a bottleneck for accurate and precise quantitation, we report a facile and fast access to high-quality synthetic standards via a new route, involving P(III)-amidite chemistry. A range of cap nucleotides and their stable heavy isotopic labeled analogues were derived from nucleoside diphosphates, which themselves were directly prepared in a one-step reaction sequence starting from unprotected nucleosides using a triphosphorylating reagent in combination with ethylenediamine. Considering a wider scope, the route also enables direct access to magic spot nucleotides and diphosphates of isoprenyl-alcohols. Stable-isotope labeled cap nucleotides derived from this route paved the way for the development of a highly sensitive LC-MS/MS method, applied to the characterization of mouse brain cap epitranscriptomes, which turned out to be very different from those of cultured cell lines of widespread use in the life sciences.

DNA methylation profiling identifies TBKBP1 as potent amplifier of cytotoxic activity in CMV-specific human CD8+ T cells.

Epigenetic mechanisms stabilize gene expression patterns during CD8+ T cell differentiation. Although adoptive transfer of virus-specific T cells is clinically applied to reduce the risk of virus infection or reactivation in immunocompromised individuals, the DNA methylation pattern of virus-specific CD8+ T cells is largely unknown. Hence, we here performed whole-genome bisulfite sequencing of cytomegalovirus-specific human CD8+ T cells and found that they display a unique DNA methylation pattern consisting of 79 differentially methylated regions (DMRs) when compared to memory CD8+ T cells. Among the top demethylated DMRs in cytomegalovirus-specific CD8+ T cells was TBKBP1, coding for TBK-binding protein 1 that can interact with TANK-binding kinase 1 (TBK1) and mediate pro-inflammatory responses in innate immune cells downstream of intracellular virus sensing. Since TBKBP1 has not yet been reported in T cells, we aimed to unravel its role in virus-specific CD8+ T cells. TBKBP1 demethylation in terminal effector CD8+ T cells correlated with higher TBKBP1 expression at both mRNA and protein level, independent of alternative splicing of TBKBP1 transcripts. Notably, the distinct DNA methylation patterns in CD8+ T cell subsets was stable upon long-term in vitro culture. TBKBP1 overexpression resulted in enhanced TBK1 phosphorylation upon stimulation of CD8+ T cells and significantly improved their virus neutralization capacity. Collectively, our data demonstrate that TBKBP1 modulates virus-specific CD8+ T cell responses and could be exploited as therapeutic target to improve adoptive T cell therapies.