Similar Datasets
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.
2019-05-07 | GSE130748 | GEO
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).
2012-11-05 | GSE39981 | GEO
Project description:DNA methylation profiles of mouse leukocyte
| PRJNA923286 | ENA
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
2012-11-05 | E-GEOD-39981 | biostudies-arrayexpress
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.
2016-07-13 | GSE78874 | GEO
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.
2016-03-01 | GSE67393 | GEO
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
2013-01-21 | GSE42861 | GEO
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.
2016-02-29 | GSE74877 | GEO
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
2015-06-03 | GSE64490 | GEO
Project description:Sepsis patients experience a complex interplay of host pro- and anti-inflammatory processes which can compromise outcome. Even taking the latest clinical and scientific research data into account, the immunosuppressive events occurring during a septic episode are incompletely understood. Moreover, there is a lack of data on the way epigenetics can modulate immunosuppression, which in turn affects patient survival. To advance current understanding of the mechanisms underlying immunosuppression, in this study we explored DNA methylation changes using the Infinium MethylationEPIC v1.0 BeadChip Kit in leukocytes from patients suffering from sepsis, septic shock, and critically ill patients as controls, within the first 24 h after admission in the Intensive Care Unit of a tertiary hospital. The top 100 differentially methylated positions (DMPs) between septic shock and critically ill patients enabled us to clearly distinguish between the 3 groups of patients. Interestingly, the top 6,657 DMPs were associated with organ dysfunction and lactate levels. Two different analysis approaches (based on the use of DMRcate and mCSEA) comparing septic shock and critically ill patients revealed a total of 1,256 differentially methylated regions (DMRs) involved in critical immune system-related pathways. Among the individual genes exhibiting significant differential methylation, IL10, TREM1, IL1B, and TNFAIP8 showed the largest methylation differences among the different groups when analyzing their methylation levels by DNA bisulfite pyrosequencing. Our findings indicate that DNA methylation profile undergoes the most substantial changes in patients with septic shock, and that these changes are linked to disease severity. Importantly, IL10 and S100A8, which are closely related to immunosuppression, were hypomethylated in septic shock patients.
2023-12-18 | GSE247524 | GEO