Calibration data mammalian array: Human, Mouse, Rat
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ABSTRACT:
ORGANISM(S): Mus musculus Rattus norvegicus Homo sapiens
PROVIDER: GSE174567 | GEO | 2021/08/27
REPOSITORIES: GEO
Similar Datasets
Project description:Illumina Infinium HumanMethylation850 BeadChip (also known as Illumina EPIC array, GPL23976) was used to generate DNA methylation data from synthetic DNA from 3 species. The DNA samples from each species were enzymatically manipulated so that they would exhibit 0%, 25%, 50%, 75% and 100% percent methylation at each CpG location, respectively. The variable “ProportionMethylated” (with ordinal values 0, 0.25, 0.5, 0.75, 1) can be interpreted as a benchmark for each CpG that maps to the respective genome. Thus, the DNA methylation levels of each CpG are expected to have a high positive correlation with ProportionMethylated across the arrays measurement for the human species. The human EPIC array was applied to calibration data from mouse (n=15 EPIC arrays, 3 per methylation level) and rat (n=10, 2 per methylation level). The EPIC array data were normalized using the noob method (R function preprocessNoob in minfi).
2021-08-27 | GSE174568 | GEO
Project description:Calibration array used to assess probe specific binding behaviour across eight different amounts of DNA starting material. This calibration step was performed to select one best out of three probes per gene based on probe responsiveness on increasing DNA staring material. It was further used to calibrate a subsequent microarray experiment to account for probe specific binding behaviour as part of the normalization process (see also Dennenmoser et al. 2017 Copy number increases of transposable elements and protein coding genes in an invasive fish of hybrid origin).
2017-07-01 | GSE93063 | GEO
Project description:Engineering Pluripotent DNA Methylation by CpG Island Methylation Response (CIMR) to Synthetic CpG-free ssDNA Insertion
| PRJNA867009 | ENA
Project description:Engineering Pluripotent DNA Methylation by CpG Island Methylation Response (CIMR) to Synthetic CpG-free ssDNA Insertion Cellular differentiation requires global changes to DNA methylation (DNAme), where it functions to regulate transcription factor and chromatin remodeling activity, and genome interpretation. Here, we describe a simple DNAme engineering approach in pluripotent stem cells (PSCs), extending across large stretches of CpG dense “islands (CGIs).” Integration of synthetic CpG free single-stranded DNA (ssDNA) induces a target CpG Island Methylation Response (CIMR) in multiple PSC lines, Nt2d1 embryonal carcinoma cells, and mouse PSCs, but not in highly methylated CpG Island Methylator Phenotype (CIMP) positive cancer lines. CIMR DNAme at MLH1 spans the CGI, is robustly maintained throughout cellular differentiation, suppresses target gene activity, and sensitizes derived cardiomyocytes and thymic epithelial cells to the chemotherapy cisplatin. Additional CIMR DNAme is reported on at TP53 and ONECUT1 CGIs. Collectively, this new resource enables total CpG Island DNAme engineering in pluripotency and the genesis of novel epigenetic models of development and disease
2023-06-21 | GSE210107 | GEO
Project description:Background: Epigenome-wide association studies (EWAS) have been widely applied to identify methylation CpG sites associated with human disease. To date, the Infinium Methylation EPIC array (EPIC) is commonly used for high-throughput DNA methylation profiling. However, the EPIC array covers only 30% of the human methylome. Methylation Capture bisulfite sequencing (MC-seq) captures target regions of methylome and has advantages of extensive coverage in the methylome at an affordable price. Methods: Epigenome-wide DNA methylation in four peripheral blood mononuclear cell samples was profiled by using SureSelectXT Methyl-Seq for MC-seq and EPIC platforms separately. CpG site-based reproducibility of MC-seq was assessed with DNA sample inputs ranging in quantity of high (> 1000ng), medium (300-1000ng), and low (150ng-300ng). To compare the performance of MC-seq and the EPIC arrays, we conducted a Pearson correlation and methylation value difference at each CpG site that was detected by both MC-seq and EPIC. We compared the percentage and counts in each CpG island and gene annotation between MC-seq and the EPIC array. Results: After quality control, an average of 3,708,550 CpG sites per sample was detected by MC-seq with DNA quantity >1000ng. Reproducibility of MC-seq detected CpG sites was high with strong correlation estimates for CpG methylation among samples with high, medium, and low DNA inputs (r > 0.96). The EPIC array captured an average of 846,464 CpG sites per sample. Compared with the EPIC array, MC-seq detected more CpGs in coding regions and CpG islands. Among the 472,540 CpG sites captured by both platforms, methylation of a majority of CpG sites was highly correlated in the same sample (r: 0.98~0.99). However, methylation for a small proportion of CpGs (N=235) differed significantly between the two platforms, with differences in beta values of greater than 0.5. Conclusions: Our results show that MC-seq is an efficient and reliable platform for methylome profiling with a broader coverage of the methylome than the array-based platform. Although methylation measurements in majority of CpGs are highly correlated, a number of CpG sites show large discrepancy between the two platforms, which warrants further investigation and needs cautious interpretation.
2020-06-11 | GSE152245 | GEO
Project description:Background: Epigenome-wide association studies (EWAS) have been widely applied to identify methylation CpG sites associated with human disease. To date, the Infinium Methylation EPIC array (EPIC) is commonly used for high-throughput DNA methylation profiling. However, the EPIC array covers only 30% of the human methylome. Methylation Capture bisulfite sequencing (MC-seq) captures target regions of methylome and has advantages of extensive coverage in the methylome at an affordable price. Methods: Epigenome-wide DNA methylation in four peripheral blood mononuclear cell samples was profiled by using SureSelectXT Methyl-Seq for MC-seq and EPIC platforms separately. CpG site-based reproducibility of MC-seq was assessed with DNA sample inputs ranging in quantity of high (> 1000ng), medium (300-1000ng), and low (150ng-300ng). To compare the performance of MC-seq and the EPIC arrays, we conducted a Pearson correlation and methylation value difference at each CpG site that was detected by both MC-seq and EPIC. We compared the percentage and counts in each CpG island and gene annotation between MC-seq and the EPIC array. Results: After quality control, an average of 3,708,550 CpG sites per sample was detected by MC-seq with DNA quantity >1000ng. Reproducibility of MC-seq detected CpG sites was high with strong correlation estimates for CpG methylation among samples with high, medium, and low DNA inputs (r > 0.96). The EPIC array captured an average of 846,464 CpG sites per sample. Compared with the EPIC array, MC-seq detected more CpGs in coding regions and CpG islands. Among the 472,540 CpG sites captured by both platforms, methylation of a majority of CpG sites was highly correlated in the same sample (r: 0.98~0.99). However, methylation for a small proportion of CpGs (N=235) differed significantly between the two platforms, with differences in beta values of greater than 0.5. Conclusions: Our results show that MC-seq is an efficient and reliable platform for methylome profiling with a broader coverage of the methylome than the array-based platform. Although methylation measurements in majority of CpGs are highly correlated, a number of CpG sites show large discrepancy between the two platforms, which warrants further investigation and needs cautious interpretation.
2020-06-22 | GSE152922 | GEO
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:Integration of synthetic CpG Free DNA induces de novo DNAme in the flanking CpG island. Cellular differentiation requires global changes to DNA methylation (DNAme), where it functions to regulate transcription factor and chromatin remodeling activity, and genome interpretation. Here, we describe a simple DNAme engineering approach in pluripotent stem cells (PSCs), extending across large stretches of CpG dense “islands (CGIs).” Integration of synthetic CpG free single-stranded DNA (ssDNA) induces a target CpG Island Methylation Response (CIMR) in multiple PSC lines, Nt2d1 embryonal carcinoma cells, and mouse PSCs, but not in highly methylated CpG Island Methylator Phenotype (CIMP) positive cancer lines. CIMR DNAme at MLH1 spans the CGI, is robustly maintained throughout cellular differentiation, suppresses target gene activity, and sensitizes derived cardiomyocytes and thymic epithelial cells to the chemotherapy cisplatin. Additional CIMR DNAme is reported on at TP53 and ONECUT1 CGIs. Collectively, this new resource enables total CpG Island DNAme engineering in pluripotency and the genesis of novel epigenetic models of development and disease
2023-06-21 | GSE210680 | GEO
Project description:<p>Methylation of cytosines in CpG dinucleotides is an epigenetic mechanism with essential roles in mammalian development. To explore its functions in cellular differentiation, unbiased analysis of CpG methylation by whole genome bisulfite sequencing (WGBS) has been used to characterize epigenetic differences among different human tissues and cell types. Meanwhile, human interindividual variation in DNA methylation that is not cell-type specific has attracted relatively little attention. Systemic interindividual epigenetic variation is important, however, because like genetic variation it is a potential determinant of phenotypic variation and can be assessed in any easily obtainable DNA sample. Since systemic epigenetic variants originate in the preimplantation embryo, their establishment can be influenced by periconceptional environment, and potentially provide information about lifetime risks relevant to global health, obesity, and cancer.</p> <p>We elucidated systemic interindividual variation in CpG methylation in the human genome. We studied brain, heart, and thyroid tissues (representing all three germ layer lineages) from each of 10 donors in the NIH Gene-Tissue Expression (<a href="./study.cgi?study_id=phs000424">GTEx</a>) project. We performed deep whole genome bisulfite sequencing for these 30 samples, achieving a sequencing depth of over 50x coverage per sample. We identified 9,926 correlated regions of systemic interindividual variation (CoRSIVs). These regions, comprising just 0.1% of the human genome, often correlate with one another over long genomic distances, are associated with transposable elements and subtelomeric regions, conserved across various human ethnic groups, and particularly sensitive to periconceptional environment. While genetic variation appears to influence methylation at most CoRSIVs, many show no evidence of genetic influence, suggestive of 'pure' epigenetic variation. At CoRSIVs, interindividual variation in DNA methylation in an easily biopsied tissue predicts expression in other tissues, and genes associated with these loci are implicated in a range of human disorders. In addition to charting a previously unrecognized molecular level of human individuality, this atlas of human CoRSIVs provides a resource for future population-based investigations into how interindividual epigenetic variation modulates risk of disease.</p>
| phs001746 | dbGaP
Project description:Epigenetic modifications have not been well characterized in most microalgae species, particularly those used for biofuel production. We report the first analysis of DNA methylation of the species Picocholorum soloecismus across its growth cycle using whole-genome bisulfite sequencing. DNA methylation occurs in all three cytosine contexts (CpG, CHH, CHG) in P. soloecismus. While global DNA methylation is low overall (~1.15% of the 15 MB genome), methylation occurs appreciable quantities (12.1%) in CpG dinucleotides in a bimodal distribution. The P. soloecismus genome becomes hypomethylated during the growth cycle (across several days in culture). 5-aza-2’-deoxycytidine (5AZA) treatment was used to alter DNA methylation patterns, which resulted in altered algal physiology and site specific changes in CpG DNA methylation.
2020-08-01 | GSE155500 | GEO