Project description:The objective of the study was to identify differentially methylated regions of DNA (DMRs) that distinguish human leukocyte subtypes, and hence serve as biomarkers for those immune cell types. This file contains Illumina Infinium HumanMethylation27 BeadChip data for human leukocyte subtypes that were purified from whole blood samples via magnetic activated cell sorting (MACS) and purity confirmed by flourescence activated cell sorting (FACS).
Project description:Peripheral blood samples were obtained at baseline and at follow-up visit from 20 participants in the Health, Aging and Body Composition prospective cohort study. Genome-wide CpG methylation was assayed using the Illumina Infinium Human MethylationEPIC (HM850K) microarray. We explored longitudinal changes in CpG methylation from blood leukocytes, and likelihood of a future cancer diagnosis.
Project description:The objective of the study was to identify differentially methylated regions of DNA (DMRs) that distinguish human leukocyte subtypes, and hence serve as biomarkers for those immune cell types. This file contains Illumina Infinium HumanMethylation27 BeadChip data for human leukocyte subtypes that were purified from whole blood samples via magnetic activated cell sorting (MACS) and purity confirmed by flourescence activated cell sorting (FACS). Bisulphite converted DNA from the 73 samples were hybridised to the Illumina Infinium 27k Human Methylation Beadchip v1.2
Project description:Human DNA methylation Beadchip v1.2 was used to analyze n=259 human saliva samples from Caucasians (non-Hispanic whites) and Hispanics collected from the PEG study (directed by Dr Beate Ritz). The main goal of the study was to measure the epigenetic age (also known as DNA methylation age) of saliva. To measure DNA methylation age, we used the epigenetic clock software described in Horvath S (n=2013) DNA methylation age of human tissues and cell types. Genome Biology.2013, 14:R115. DOI: 10.1186/10.1186/gb-2013-14-10-r115 PMID: 24138928.
Project description:Genome wide DNA methylation profiling of peripheral blood samples. The Illumina Infinium 450k Human DNA methylation Beadchip was used to obtain DNA methylation profiles across approximately 450,000 CpGs. Samples included 63 of male samples,and 54 of female samples from peripheral leukocytes. All samples were healthy controls.
Project description:Genome-wide DNA methylation level was studied to determine whether Rheumatoid arthritis patients (cases) has methylation differences comparing to normal controls in peripheral blood leukocytes (PBLs). We used Illumina HumanMethylation450 BeadChip array to determine the genome-wide DNA methylation difference in PBLs from Rheumatoid arthritis patients (cases) and normal controls
Project description:We performed whole-genome methylation analysis using 450K Illumina BeadArrays on different human cell types. In total 24 experiments were performed. Dermal fibroblasts, three different epidermal melanocytes (dark, medium and light pigmentation), epidermal keratinocytes, mammary fibroblasts, mammary epithelial cells, mammary endothelial cells and mesenchymal stem cells were analyzed in technical duplicates. Unmethylated DNA were analyzed in technical duplicates. Two different normal breast tissue samples were analyzed. Finally peripheral blood leukocytes and an enzymatically methylated sample were analyzed.
Project description:The main goal of the study was to measure the epigenetic age (also known as DNA methylation age) of human bone tissue and to relate it to chronological age. Toward this end, we used the epigenetic clock software described in Horvath S (2013) DNA methylation age of human tissues and cell types. Genome Biology.2013, 14:R115. DOI: 10.1186/10.1186/gb-2013-14-10-r115 PMID: 24138928
Project description:The main goal of the study was to measure the epigenetic age (also known as DNA methylation age) of human tissues and to relate it to chronological age. Toward this end, we used the epigenetic clock software described in Horvath S (n=2013) DNA methylation age of human tissues and cell types. Genome Biology.2013, 14:R115. DOI: 10.1186/10.1186/gb-2013-14-10-r115 PMID: 24138928
