Project description:This DNA methylation dataset describes epigenomic changes in astrocytes culture in vitro with passaging, in the context of studies examining cellular aging patterns that are conserved in vivo and in vitro. Fetal astrocytes were derived from cerebral cortex. Cells were grown under normoxic conditions and exhaustively passaged until cellular senescence. Longitudinal DNA samples were collected throughout passaging and DNA methylation was measured using the Infinium HumanMethylationEPIC BeadChip. In addition, some samples were sorted by FACS using senescence markers prior to DNA extraction for additional DNA methylation measurements.
Project description:This DNA methylation dataset describes epigenomic changes in in vitro serially passaged primary and immortalized astrocytes, in the context of studies examining cellular aging patterns that are conserved in vivo and in vitro. Primary and fetal hTERT-immortalized astrocytes were grown under normoxic conditions and serially passaged. Longitudinal DNA samples were collected throughout passaging and DNA methylation was measured using the Infinium HumanMethylation850 BeadChip.
Project description:DNA methylation may be involved in development of type 1 diabetes (T1D), but previous epigenome-wide association studies were conducted among cases with clinically diagnosed diabetes. Using multiple pre-disease peripheral blood samples on the Illumina 450K and EPIC platforms, we investigated longitudinal methylation differences between 87 T1D cases and 87 controls from the prospective Diabetes Autoimmunity Study in the Young (DAISY) cohort. Change in methylation with age differed between cases and controls in 10 regions. Average longitudinal methylation differed between cases and controls at two genomic positions and 28 regions. Some methylation differences were detectable and consistent as early as birth, including before and after the onset of preclinical islet autoimmunity. Results map to transcription factors, other protein coding genes, and non-coding regions of the genome with regulatory potential. The identification of methylation differences that predate islet autoimmunity and clinical diagnosis may suggest a role for epigenetics in T1D pathogenesis.
Project description:The methylation data were measured from longitudinal blood samples to study the longitudinal change of methylation in association with age.
Project description:As epigenetic clocks have evolved from powerful estimators of chronological aging to predictors of mortality and disease risk, it begs the question of what role DNA methylation plays in the aging process. We hypothesize that while it has the potential to serve as an informative biomarker, DNA methylation could also be a key to understanding the biology entangled between aging, (de)differentiation, and epigenetic reprogramming. Here we use an unsupervised approach to analyze time associated DNA methylation from both in vivo and in vitro samples to measure an underlying signal that ties these phenomena together. We identify a methylation pattern shared across all three, as well as a signal that tracks aging in tissues but appears refractory to reprogramming, suggesting that aging and reprogramming may not be fully mirrored processes.
Project description:Genome-wide patterns of DNA methylation were quantified using the Illumina Infinium EPIC array (“EPIC array”) in DNA samples isolated from buccal swabs collected at ages 5, 10 and 18 and whole blood samples collected at age 18 from 118 Monozygotic twin pairs from the Environmental Risk (E-Risk) Longitudinal Twin Study. Comparison of DNA methylation profiles of 233 age 18 blood samples with data on EPIC and Illumina 450K methylation arrays.