DNA Methylation
Ontology highlight
ABSTRACT:
SUBMITTER: Ying Gao
PROVIDER: OEX00001523 | NODE | 2019-05-31
REPOSITORIES: NODE
Similar Datasets
Project description:To identified the differential methylation of genes and regions to elucidate the mechanisms of toxicity related to environmental chromium exposure. Fasting whole blood samples were collected by clinicians in ethylenediaminetetraacetic acid (EDTA) anticoagulant tubes, and stored them at −80 °C. A DNeasy Blood and Tissue Kit (Qiagen) was used to isolate DNA from whole blood. The purity and concentration of DNA were estimated using Nanodrop 2000 (ThermoScietific). Approximately 500 ng of genomic DNA from each sample was used for sodium bisulfite conversion with the EZ DNA methylation Gold Kit (Zymo Research, USA) in accordance with the manufacturer’s standard protocol. Genome-wide DNA methylation was performed using the Illumina Infinium HumanMethylation850K (EPIC) BeadChip (Illumina Inc, USA) in accordance with the manufacturer’s instructions.
2022-12-13 | GSE206418 | GEO
Project description:An Infinium microarray platform (GPL28271, HorvathMammalMethylChip40) was used to generate DNA methylation data from blood samples from yellow-bellied marmots (Marmota flaviventris). DNA methylation data from n=159 blood samples. All samples were collected as part of a long-term study of a free-living population of yellow-bellied marmots in the Gunnison National Forest, Colorado (USA), where marmots were captured and blood samples collected biweekly during the their active season (May to August). Genomic DNA was extracted with Qiagen DNeasy blood and tissue kit.
2022-04-13 | GSE174544 | GEO
Project description:An Infinium microarray platform (GPL28271, HorvathMammalMethylChip40) was used to generate DNA methylation data from many tissues of the naked mole rat We generated DNA methylation data from n=289 tissues. All tissues except for skin biopsies and blood were obtained from frozen tissue collection that were euthanized for other studies. Skin biopsies (2 mm punch) were collected from the backs of the animals under local anesthesia. Blood samples were collected from the tails. The n=3 induced pluripotent stem cells from NMR were generated as described in (Tan et al 2017., PMID: 29107597). As control set for the iPS study, we used n=3 fibroblasts samples. Genomic DNA was extracted using Qiagen DNeasy Blood and Tissue kit and quantified using Nanodrop and Qubit.als
2021-10-18 | GSE174777 | GEO
Project description:Genomic DNA of intracranial aneurysm and matched superficial temporal artery from same patient (n=9) was extracted with QIAamp DNA Mini Kit (Qiagen, Valencia, CA). A total of 500 of genomic DNA was bisulfite conversion using the EZ DNA Methylation Gold Kit (Zymo Research, Irvine, CA) and then analyzed on an Infinium HumanMethylation450 BeadChip (Illumina, San Diego, CA) following the manufacturer’s instructions.
2016-12-01 | GSE75434 | GEO
Project description:An Infinium microarray platform (GPL28271, HorvathMammalMethylChip40) was used to generate DNA methylation data from many tissues of 3 species of mole rats: Cape mole rat (Georychus capensis), Damaraland mole rat (Cryptomys damarensis), Naked mole rat (Heterocephalus glaber). We generated DNA methylation data from n=94 tissues from 3 species: Cryptomys damarensis (n=10), Georychus capensis (n=6), Heterocephalus glaber (n=78). All tissues ewere obtained from frozen tissue collection that were euthanized for other studies. Kidney (n=6), liver (n=61), skin (n=27). The tissues used in this study were obtained from post-mortem specimens from animals free from disease in compliance. Sample collection was from post-mortem material. Tissue samples were snap frozen in liquid nitrogen following dissection and transferred for storage at -80ºC. Genomic DNA was extracted using Qiagen DNeasy Blood and Tissue kit and quantified using Nanodrop and Qubit.als
2021-10-18 | GSE174778 | GEO
Project description:To gain insight into the DNA methylation changes during OSCC carcinogenesis, we utilized cytosine conversion and next generation sequencing based technique- enhanced reduced representation bisulfite sequencing (ERRBS) - to assess DNA methylation in cultured, human TERT-immortalized, non-tumorigenic OKF6-TERT1R and OSCC SCC-9 cells. OKF6-TERT1R cells and SCC-9 cells were plated in 10 cm2 tissue culture plates at the density of 2 M-CM-^W 106 cells/plate. Total genomic DNA was extracted from OKF6-TERT1R and SCC-9 cells using DNeasy Blood & Tissue Kit (Qiagen, Germantown, MD, USA), including an RNAse treatment step.
2014-10-28 | E-GEOD-51752 | biostudies-arrayexpress
Project description:DNA methylation data on 614 individuals from 117 families consisting of combinations of MZ and DZ twin pairs, their siblings and their parents. Genomic DNA was extracted from peripheral blood lymphocytes. DNA concentrations were determined by NanoDrop quantification to include 500ng before bisulfite conversion using the EZ-96 DNA Methylation Kit
2014-05-06 | E-GEOD-56105 | biostudies-arrayexpress
Project description:Down syndrome is characterized by a wide spectrum of clinical signs, which include cognitive and endocrine disorders and haematological abnormalities. Although it is well established that the causative defect of Down syndrome is the trisomy of chromosome 21, the molecular bases of Down syndrome phenotype are still largely unknown. We used the Infinium HumanMethylation450 BeadChip to investigate DNA methylation patterns in whole blood from 29 subjects affected by Down syndrome (DS), using their healthy relatives as controls (mothers and unaffected siblings). This family-based model allowed us to monitor possible confounding effects on DNA methylation patterns deriving from genetic and environmental (lifestyle) factors. The identified epigenetic signature of Down syndrome includes differentially methylated regions that, although enriched on chromosome 21, interest most of the other chromosomes and can be functionally linked to the developmental and haematological defects characteristic of the disease. DNA was extracted from whole peripheral blood using the QIAamp 96 DNA Blood Kit (QIAGEN) and quantified by Quant-iT™ PicoGreen (Invitrogen). Sodium bisulphite conversion of 500 ng of each sample was performed using the EZDNA Methylation-Gold Kit according to the manufacturer's recommendation for Illumina Infinium Assay. 4 ul of bisulfite converted DNA were hybridized on Infinium HumanMethylation 450 BeadChip, following manufacturer’s instructions. Arrays were scanned by HiScan SQ scanner (Illumina) and the intensities of the images were extracted using GenomeStudio (2010.3) Methylation module (1.8.5) software. Methylation levels of each CpG is reported as beta value.
2015-03-03 | E-GEOD-52588 | biostudies-arrayexpress
Project description:Genome wide DNA methylation profiling of arsenic exposure and non-exposure population and patients with skin leisons. The Illumina Infinium HumanMethylation450 BeadChip (HM450K) was used to obtain DNA methylation profiles across approximately 450,000 CpGs in genomic DNA extracted from blood buffy coat samples. Samples included 66 arsenic exposure individuals, 35 non-exposure individuals and 18 arsenical skin lesion patients.
2018-07-10 | GSE109914 | GEO
Project description:Purpose: To investigate the role of DNA methylation in human uterine leiomyoma tumorigenesis, we profiled genome-wide DNA methylation patterns of leiomyoma cells (LM) and adjacent normal myometrial cells (MM) treated with or without DNA methylation inhibitor 5-Aza. Methods: Primary cells were isolated from fresh uterine myometrium or leiomyoma tissue. Cells were treated with vehicle (DMSO) or 5 µM 5’-aza for 96h with medium refreshed every 24h. Genomic DNA was extracted from LM and MM cells using DNeasy Blood and Tissue Kit (Qiagen, 69504) and fragmented to 300-500bp using Covaris M220. Methylated DNA fragments were captured using the MethylCap Kit (Diagenode, C02020010). Next-generation sequencing libraries were prepared using the KAPA Hyper Prep Kit (KAPA Biosystems, KK8502) and KAPA Single-Indexed Adapter Kit (KAPA Biosystems, KK8710). Libraries were sequenced under 75bp paired-end sequencing format. Sequences were aligned to the hg19 reference genome using Bowtie2. Histone style peak calling, differential binding analysis (getDifferentialPeaks) and motif analysis were performed using Homer under default settings. Differentily methylated regions (DMRs) were detected with a fold enrichment over background tag count ≥4 and poisson enrichment p-value over background tag count <0.0001. Differential DNA methylation between MM and LM (with or without treatment) at select regions were validated through qPCR. Results: More than 100,000 methyalted regions were detected in each sample. We discovered 21,086 DMRs between MM and LM cells under basal (vehicle treated) condition. In cells treated with 5-aza, we detected 8811 DMRs between MM and LM. We compared the genomic context of DMRs identified by MethylCap-Seq with the probe distribution of the HM450 array and detected large differences between these two methods. For example, 44.23% of DMR were located in intergenic regions by MethylCap-Seq, which was drastically higher than the percentage of HM450 array probes located in intergenic regions Downstream network enrichment analysis and motif analysis indicated that DMR-associated genes and regions are crucial for the tumor progression and hormone responsiveness of LM. Conclusions: Our study represents the detailed analysis of differential DNA methyaltion profiles between MM and LM using MethylCap-seq. Our results showed a more comprehensive evaluation of DNA methyaltion landscapes of MM and LM compared with previous array based analysis. We conclude that DNA methylation plays a crucial role in hormone-dependent LM tumorigenesis.
2019-01-01 | GSE113108 | GEO