Project description:DNA methylation is an important epigenetic regulator of gene expression. Recent studies have revealed widespread associations between genetic variation and methylation levels. However, the mechanistic links between genetic variation and methylation remain unclear. To begin addressing this gap, we collected methylation data at ~300,000 loci in lymphoblastoid cell lines (LCLs) from 64 HapMap Yoruba individuals, and genome-wide bisulfite sequence data in ten of these individuals. We identified (at an FDR of 10%) 13,915 *cis* methylation QTLs (meQTLs), i.e., CpG sites in which changes in DNA methylation are associated with genetic variation at proximal loci. We found that meQTLs are frequently associated with changes in methylation at multiple CpGs across regions of up to 3 kb. Interestingly, meQTLs are also frequently associated with variation in other properties of gene regulation, including histone modifications, DNase I accessibility, chromatin accessibility, and expression levels of nearby genes. These observations suggest that genetic variants may lead to coordinated molecular changes in all of these regulatory phenotypes. One plausible driver of coordinated changes in different regulatory mechanisms is variation in transcription factor (TF) binding. Indeed, we found that SNPs that change predicted TF binding affinities are significantly enriched for associations with DNA methylation at nearby CpGs. Whole genomic DNA from 10 Yoruba HapMap individuals and spiked in unmethylated lambda phage DNA was bisuflite converted using the Invitrogen MethylCode Bisulfite Conversion Kit and sequenced using a Illumina HiSeq 2000
Project description:Metabolic dysfunction associated steatotic liver disease (MASLD) is characterized by a constant accumulation of lipids in the liver. This lipotoxicity in the liver is associated with dysregulation of the first step in lipid catabolism called beta oxidation in the mitochondrial matrix, eventually leading to mitochondrial dysfunction. To evaluate possible involvement of mitochondrial DNA methylation in this lipid metabolic dysfunction we investigated the functional metabolic effects of mitochondrial overexpression of CpG (MSssI) and GpC (MCviPI) DNA methyltransferases in relation to gene expression and (mito)epigenetic signatures. Overall, the results show that mitochondrial GpC and to a lesser extent CpG methylation increase bile acid metabolic gene expression, inducing cholestasis by mito-nuclear epigenetic reprogramming. Moreover, increased expression of metabolic nuclear receptors in both MSssI and MCviPI cells promote mitochondrial swelling and induce basal overactivation of mitochondrial respiration which favours lipid accumulation and metabolic-stress induced mitophagy and autophagy stress responses. Altogether GpC and CpG mitochondrial induce a metabolic challenging environment that is similar to mitochondrial dysfunction in the progression of MASLD.
Project description:Metabolic dysfunction associated steatotic liver disease (MASLD) is characterized by a constant accumulation of lipids in the liver. This lipotoxicity in the liver is associated with dysregulation of the first step in lipid catabolism called beta oxidation in the mitochondrial matrix, eventually leading to mitochondrial dysfunction. To evaluate possible involvement of mitochondrial DNA methylation in this lipid metabolic dysfunction we investigated the functional metabolic effects of mitochondrial overexpression of CpG (MSssI) and GpC (MCviPI) DNA methyltransferases in relation to gene expression and (mito)epigenetic signatures. Overall, the results show that mitochondrial GpC and to a lesser extent CpG methylation increase bile acid metabolic gene expression, inducing cholestasis by mito-nuclear epigenetic reprogramming. Moreover, increased expression of metabolic nuclear receptors in both MSssI and MCviPI cells promote mitochondrial swelling and induce basal overactivation of mitochondrial respiration which favours lipid accumulation and metabolic-stress induced mitophagy and autophagy stress responses. Altogether GpC and CpG mitochondrial induce a metabolic challenging environment that is similar to mitochondrial dysfunction in the progression of MASLD.
Project description:Bait-capture based Single Molecule Footprinting (SMF) data from Kreibich et al., 2022. SMF data is obtained by treating extracted nuclei with a GpC methyltransferase, where binding of proteins on DNA, e.g. nucleosomes and transcription factors (TFs), leave behind unmethylated GpCs as footprints. Data in this experiment comprises SMF data obtained from WT embryonic stem cells (ES), DNMT TKO ES, TET TKO ES, F1 hybrid ES (129/CAST), neural progenitor (NP),�myoblast (C2C12) and�murine erythroleukemia (MEL)�cells. These data were generated by employing Agilent Sure-Select Mouse Methyl-Seq kit, enriching the sample for cis-regulatory regions of the mouse genome prior to library preparation. Thus, these data contain high coverage accessibility information at regulatory loci in different cell types. The SMF procedure maintains the endogenous DNA methtylation in CpG context, allowing the simultaneous detection of chromatin accessibility, TF binding and endogenous DNA methylation.
Project description:Epigenomics is developing a colon cancer screening assay based on differential methylation of specific CpG sites for the detection of early stage disease. A genome-wide methylation analysis and oligonucleotide array study using DNA from various stages of colon cancer and normal tissue have been completed to obtain candidate CpG markers. Based on results obtained in the above studies, Epigenomics has moved to the final stages of feasibility with a specific, highly sensitive real-time marker assay that is able to detect colon cancer DNA in blood plasma.
| 2056787 | ecrin-mdr-crc
Project description:Nanopore Sequencing of CpG and GpC Methylation Training and Testing Samples
Project description:Probing epigenetic features on long molecules of DNA has tremendous potential to advance our understanding of the phased epigenome. In this study, we evaluate CpG methylation and chromatin accessibility simultaneously on long strands of DNA using GpC methyltransferase to exogenously label open chromatin, coupled with nanopore sequencing technology. We performed nanopore sequencing of Nucleosome Occupancy and Methylome (nanoNOMe) on four human cell lines (GM12878, MCF-10A, MCF-7, MDA-MB-231), and demonstrate the ability to directly measure methylation and chromatin accessibility in genomic features such as structural variations and repetitive elements. The long single-molecule resolution allows footprinting of protein and nucleosome binding and determining the combinatorial promoter epigenetic state on individual molecules. Long-read sequencing makes it possible to robustly assign reads to haplotypes, enabling allele-specific epigenetic analysis across the genome. We use existing SNV data on GM12878 to present the first fully phased human Probing epigenetic features on long molecules of DNA has tremendous potential to advance our understanding of the phased epigenome. We evaluate CpG methylation and chromatin accessibility simultaneously on long strands of DNA using GpC methyltransferase to exogenously label open chromatin, coupled with nanopore sequencing technology. We performed nanopore sequencing of Nucleosome Occupancy and Methylome (nanoNOMe) on four human cell lines (GM12878, MCF-10A, MCF-7, MDA-MB-231), and demonstrate the ability to directly measure methylation and chromatin accessibility in genomic features such as structural variations and repetitive elements. The long single-molecule resolution allows footprinting of protein and nucleosome binding and determining the combinatorial promoter epigenetic state on individual molecules. Long-read sequencing makes it possible to robustly assign reads to haplotypes, enabling allele-specific epigenetic analysis across the genome. We use existing SNV data on GM12878 to present the first fully phased human epigenome, consisting of chromosome-level allele-specific profiles of CpG methylation and chromatin accessibility.mosome-level allele-specific profiles of CpG methylation and chromatin accessibility.
Project description:We report a new method for genome-wide methylation profiling that is able to probe methylation status in both single-copy DNA and interspersed repeats. This method, MethylMAPS, uses methylation-sensitive and -dependent enzymes to fractionate the genome according to methylation state. Methylated and unmethylated fragments are then sequenced with Next-Gen sequencing to map methylated and unmethylated CpG sites in the genome. We have used this method to determine the methylation status of >275 million CpG sites in human and mouse DNA from breast and brain tissues. We conclude that methylation is the default state of most CpG dinucleotides and that a combination of local dinucleotide frequencies, the interaction of repeated sequences, and the presence or absence of histone variants or modifications shields a population of CpG sites (most of which are in and around promoters) from DNA methyltransferases that lack intrinsic sequence specificity. Genome-wide methylation mapping in two normal human breast tissues, human brain tissue and mouse brain tissue.
Project description:Amplicon Single Molecule Footprinting (SMF) data. SMF data is obtained by treating extracted nuclei with a GpC and a CpG methyltransferases, where binding of proteins on DNA, e.g. nucleosomes and RNA Polymerase II (Pol II), leave behind unmethylated cytosines as footprints. Data in this experiment comprises SMF data obtained from DNA methyltransferase triple knockout mouse embryonic stem cells (DNMT TKO mESCs) treated with either 500 nM triptolide for 30 minutes or DMSO as a control.
Project description:CD14+ purified bovine monoctye stimulation with CpG ODN 2007 vs. GpC ODN 2007, CpG 2007 vs. Control, GpC 2007 vs. Control and Media vs Control (Control is unstimluated CD14+ purified bovine monocytes at time zero). Before stimulation, the CD14+ purified bovine monocytes were rested for 20 h. Then the cells were stimulated for 4hrs.