Genome wide % Methylation of CpG, CHH, CHG
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Centrifuge, Illumina NovaSeq X, Institutional high-performance computing cluster (Linux-based), Incubator, Centrifuge, PCR
ORGANISM(S): Homo sapiens
SUBMITTER: Arif Hussain
PROVIDER: E-MTAB-16669 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Here we used Illumina NGS for high-throughput profiling of the DNA methylome in two human colon cancer derived cell lines, two human normal bone marrow CD34+ controls and in five human Acutre Myeloid Leukeima patient samples. These data can be used to determine the CpG cytosine methylation pattern at base pair resolution in each sample and to determine differentially methylated cytosines and regions between samples Reduced Representation Bisulfite Sequencing (RRBS) and Extended Reduced Representation Bisulfite Sequencing (ERRBS) on genomic DNA. We used colon cancer cell lines (two) to establish reproducbility and range of assay sensitivity. We used Acute Myeloid Leukemia patient samples and CD34+ bone marrow cells as controls to determine the methylome pattern in the patient samples
2012-06-01 | E-GEOD-37454 | biostudies-arrayexpress
Project description:We report a method for specific capture of an arbitrary subset of genomic targets for single molecule bisulfite sequencing, and for digital quantitation of DNA methylation at a single nucleotide resolution. We used targeted bisulfite sequencing to characterize the changes of DNA methylation during the de-differentiation of human fibroblasts into hybrid stem cells, and into induced pluripotent stem cells. We compared the methylation level of approximately 66,000 CpG sites within 2020 CpG islands on chromosome 12, chromosome 20, and 34 selected regions. A total of 288 differentially methylated regions were identified between fibroblasts and pluripotent cells. Methylation cluster analysis revealed distinct methylation patterns between fibroblasts and pluripotent cells. Furthermore iPS cells are globally more methylated than human embryonic stem cells, which could be due to the reprogramming process. This targeted bisulfite sequencing method is particularly useful for efficient and large-scale analysis of DNA methylation in organisms with large genomes. Experiment Overall Design: Comparison of DNA methylation on 2020 CpG islands and 34 other selected regions among eleven human ES, iPS and fibroblast lines.
2009-08-28 | E-GEOD-15007 | biostudies-arrayexpress
Project description:In this study, we have investigated the relationship between genome-wide DNA methylation pattern and HIV infection using the methylated DNA immunoprecipitation - microarray method. A pair of monozygotic twins was recruited: one of the twins was infected with HIV while the other was not. The immunoprecipitated CpG-methylated DNA from HIV positive subject (test) and from HIV negative subject (input control) were labelled with Cy5 and Cy3 respectively The methylated genomic DNA fragments from HIV+ and HIV- twins were hybridized on the same chip since the identical genetic background
2015-04-20 | E-GEOD-68028 | biostudies-arrayexpress
Project description:DNA methylation (DNAm) plays diverse roles in human biology, but this dynamic epigenetic mark remains far from fully characterized. Although earlier studies uncovered loci that undergo age-associated DNAm changes in adults, little is known about such changes during childhood. Despite profound DNAm plasticity during embryogenesis and early development, monozygotic twins show indistinguishable childhood methylation, suggesting DNAm is highly coordinated during the pediatric period. Here we examine the methylation of 27,578 CpG dinucleotides in peripheral blood DNA from 398 boys, aged 3 to 17 years, and find significant age-associated changes in DNAm at 2,078 loci. We report a deficit of such loci on the X chromosome, a preference for specific nucleotides immediately surrounding the interrogated CpG dinucleotide, and a primary association with developmental and immune ontological functions. These pediatric age-associated loci overlap significantly with those previously identified in adults (p < 0.001) but most of the pediatric loci are unique, suggesting many are childhood-specific. Meta-analysis (n = 1080) with two adult studies reveals that the methylation changes in 29.5% of the age-associated pediatric loci follow a linear pattern from childhood into adulthood; however, we also find a three-fold higher rate of change in children compared with adults and that a higher proportion of lifelong changes are more accurately modeled as a function of logarithmic age. We therefore conclude that DNAm changes occur more rapidly during childhood and are imperfectly accounted for by statistical corrections that are linear in age, further suggesting that future DNAm studies are matched closely for age. Age associated DNA methylation was evaluated at each CpG locus using a fixed-effects linear regression model adjusting for BeadChip as a covariate to account for batch effects. Analysis of variance (ANOVA) was conducted for each CpG locus to assess the age affect at each CpG locus which was subsequently corrected for multiple hypotheses using a Benjamini-Hochberg FDR. SUPPLEMENTARY FILES: * Matrix_AllSampleDetection.txt: Detection P-values for each sample and each loci * Matrix_AllSampleSignal.txt: Signal for Probe A and Probe B for each sample and each loci * Matrix_Non-Normalized_AllSampleBeta.txt: Beta values calculated using GenomeStudio v2010.3 Methylation Module 1.8.5 as Signal of Probe B / (Signal of Probe A + Signal of Probe B + 100) * Matrix_Normalized_AllSampleBetaPrime.txt: Beta Prime values used for analysis calculated from the Probe B and Probe A signals as Beta Prime = Signal of Probe B / (Signal of Probe A + Signal of Probe A)
2012-02-01 | E-GEOD-27097 | biostudies-arrayexpress
Project description:Purpose: To investigate the effect of Tet1 depletion on global DNA methylation, we performed whole-genome bisulfite sequencing (WGBS). Methods: Starting with as little as 1400-5251 manually micro-dissected PGCs, we used an ultra-low input method, Tn5mC-seq. Results: We generated 945 million reads for Tet1Gt/Gt PGCs and 302 million reads for wild-type PGCs. We obtained 14-16 million CpG sites per genotype at 1.76-2.66x genome coverage, which enables a comprehensive view of genome-wide DNA methylation patterns in E13.5 PGCs. PGCs are almost completely unmethylated genome-wide. Loss of Tet1 led to a subtle increase of methylation level in various genomic elements including promoters, exons, introns and repetitive elements in Tet1Gt/Gt PGCs (p<0.01). Local analysis identified 4,337 differentially methylated regions (DMRs) between Tet1-/- PGCs and wild-type cells. These DMRs are associated with 5,261 genes, among which 271 genes also exhibited differential gene expression and enriched for the cell cycle pathway (FDR=0.02). Conclusions: This result revealed that demethylation of certain set of cell cycle genes is largely abolished in the Tet1-/- PGCs. Genome-wide methylation profiles of primordial germ cells derived from the wild type (WT) and Tet1-null female embryos at E13.5 were generated by whole genome bisulfite sequencing using Illumina Hiseq.
2012-11-20 | E-GEOD-41912 | biostudies-arrayexpress
Project description:A patient derived orthotopic xenograft (PDOX) was generated from a patient with an 53 aggressive extramedullary multiple myeloma (EMM) to study in-depth genetic and epigenetic events and drug responses related to extramedullary disease. Whole DNA methylome of the EMM PDOX was also evaluated and compared with a published dataset of 101 newly-diagnosed and chemotherapy-naïve MM patients and normal plasma cells (NPC) (Agirre et al., 2015) A rather balanced proportion of hyper/hypomethylated sites different to previously reported widespread hypomethylation in MM was observed.
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2026-03-26 | E-MTAB-16780 | biostudies-arrayexpress
Project description:Background: Researching the murine epigenome in disease models has been hampered by the lack of an appropriate and cost-effective DNA methylation array. Until recently, investigators have been limited to the relatively expensive and analysis intensive bisulphite sequencing methods. Here, we performed a comprehensive, comparative analysis between the new Mouse Methylation BeadChip (MMB) and reduced representation bisulphite sequencing (RRBS) in two murine models of colorectal carcinogenesis, providing insight into the utility to each platforms in a real world environment. Results: We captured 1.47x106 CpGs by RRBS and 2.64x105 CpGs by MMB, mapping to 13,778 and 13,365 CpG islands, respectively. RRBS captured significantly more CpGs per island (median 41 for RRBS versus 2 for MMB). We found that 64.4% of intra-island CpG methylation variability can be captured by measuring approximately one quarter of CpG island (CGI) CpGs. MMB was more precise in measuring DNA methylation, especially at sites that had low RRBS coverage. This impacted differential methylation analysis, with more statistically significantly differentially methylated CpG sites identified by MMB in all experimental conditions, however the difference was minute when appropriate thresholding for the magnitude of methylation change (0.2 beta value difference) was applied, providing confidence that both techniques can identify similar differential DNA methylation. Gene ontology enrichment analysis of differentially hypermethylated gene promoters identified similar biological processes and pathways by both RRBS and MMB across two murine model systems. Conclusion: MMB is an effective tool for profiling the murine methylome that performs comparably to RRBS, identifying similar differentially methylated pathways. Although MMB captures a similar proportion of CpG islands, it does so with fewer CpGs per island. We show that subsampling informative CpGs from CpG islands is an appropriate strategy to capture whole island variation. Choice of technology is experiment dependent and will be predicated on the underlying biology being probed.
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