Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Methylation Array Signals are Predictive of Chronological Age Without Bisulfite Conversion

ABSTRACT: DNA methylation data has been used to make “epigenetic clocks” which attempt to measure chronological and biological aging. These models rely on data derived from bisulfite-based measurements, which exploit a semi-selective deamination and a genomic reference to determine methylation states. Here, we demonstrate how another hallmark of aging, genomic instability, influences methylation measurements in both bisulfite sequencing and methylation arrays. We found that non-methylation factors lead to “pseudomethylation” signals that are both confounding of epigenetic clocks and uniquely age predictive. Quantifying these covariates in aging studies will be critical to building better clocks and designing appropriate studies of epigenetic aging.

ORGANISM(S): Mus musculus

PROVIDER: GSE281062 | GEO | 2025/11/04

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Development of an Epigenetic Clock Resistant to Changes in Immune Composition

Project description:Epigenetic clocks are age predictors that use machine-learning models trained on DNA CpG methylation values to predict chronological or biological age. Increases in predicted epigenetic age relative to chronological age (epigenetic age acceleration) are connected to aging-associated pathologies, and changes in epigenetic age are linked to canonical aging hallmarks. However, epigenetic clocks rely on training data from bulk tissues whose cellular composition changes with age. We found that human naive CD8+ T cells, which decrease during aging, exhibit an epigenetic age 15–20 years younger than effector memory CD8+ T cells from the same individual. Importantly, homogenous naive T cells isolated from individuals of different ages show a progressive increase in epigenetic age, indicating that current epigenetic clocks measure two independent variables, aging and immune cell composition. To isolate the age-associated cell intrinsic changes, we created a new clock, the IntrinClock, that did not change among 10 immune cell types tested. IntrinClock showed a robust predicted epigenetic age increase in a model of replicative senescence in vitro and age reversal during OSKM-mediated reprogramming

2023-12-27 | GSE252045 | GEO

DNA methylation entropy is a biomarker for aging

Project description:The dynamic nature of epigenetic modifications has been leveraged to construct epigenetic clocks that accurately predict an individual’s age based on DNA methylation levels. Here we explore whether the accumulation of epimutations, which can be quantified by Shannon’s entropy, changes reproducibly with age. Using targeted bisulfite sequencing, we analyzed the associations between age, entropy, and methylation levels in human buccal swab samples. We find that epigenetic clocks based on the entropy of methylation states predict chronological age with similar accuracy as common approaches that are based on methylation levels of individual cytosines. Our approach suggests that across many genomic loci, methylation entropy changes reproducibly with age.

2025-01-27 | GSE288139 | GEO

Epigenetic age-predictions in mice using pyrosequencing, droplet digital PCR or barcoded bisulfite amplicon sequencing

Project description:Age-associated DNA methylation reflects aspect of biological aging - therefore epigenetic clocks for mice can help to elucidate the impact of treatments or genetic background on the aging process in this model organism. Initially, age-predictors for mice were trained for genome-wide DNA methylation profiles and we have recently described a targeted assay based on pyrosequencing of DNA methylation at only three CG dinucleotides (CpGs). Here, we have re-evaluated pyrosequencing approaches in comparison to droplet digital PCR (ddPCR) and barcoded bisulfite amplicon sequencing (BBA-seq). At individual CpGs the correlation of DNA methylation with chronological age was slightly higher for pyrosequencing and ddPCR as compared to BBA-seq. On the other hand, BBA-seq revealed that neighboring CpGs tend to be stochastically modified at murine age-associated regions. Furthermore, the binary sequel of methylated and non-methylated CpGs in individual reads can be used for single-read predictions, which may reflect heterogeneity in epigenetic aging. In comparison to C57BL/6 mice the epigenetic age-predictions using BBA-seq were also accelerated in the shorter-lived DBA/2 mice, and in C57BL/6 mice with a lifespan quantitative trait locus of DBA/2 mice. Taken together, we describe further optimized and alternative targeted methods to determine epigenetic clocks in mice.

2020-08-14 | GSE156193 | GEO

Synchrony and asynchrony between an epigenetic clock and developmental timing [RNA-Seq]

Project description:Epigenetic changes have been used to estimate chronological age across the lifespan, and some studies suggest that epigenetic "aging" clocks may already operate in developing tissue. To better understand the relationship between developmental stage and epigenetic age, we utilized the highly regular sequence of development found in the mammalian neural retina and a well-established epigenetic aging clock based on DNA methylation. Our results demonstrate that the epigenetic age of fetal retina is highly correlated with chronological age. We further establish that epigenetic aging progresses normally in vitro, suggesting that epigenetic aging is a property of individual tissues. This correlation is also retained in stem cell-derived retinal organoids, but is accelerated in individuals with Down's syndrome, a progeroid-like condition. Overall, our results suggest that epigenetic aging begins as early as a few weeks post-conception, in fetal tissues, and the mechanisms underlying the phenomenon of epigenetic aging might be studied in developing organs.

2021-01-21 | GSE124252 | GEO

Conserved epigenetic hallmarks of T-cell aging during immunity and malignancy

Project description:Chronological aging correlates with epigenetic modifications at specific loci, calibrated to species lifespan. Such ‘epigenetic clocks’ appear conserved among mammals, but whether they are cell-autonomous and restricted by maximal organismal lifespan remains unknown. We used a multi-lifetime murine model of repeat vaccination and memory T cell transplantation to test whether epigenetic aging tracks with cellular replication, and if such clocks continue ‘counting’ beyond species lifespan. We found that memory T cell epigenetic clocks tick independently of host age and continue through four lifetimes. Instead of recording chronological time, T cells recorded proliferative experience through modification of cell cycle regulatory genes. Applying this epigenetic profile across a range of human T cell contexts, we found that naïve T cells appeared ‘young’ regardless of organism age, while in pediatric patients, T-cell acute lymphoblastic leukemia (T-ALL) appeared to have epigenetically aged for up to 200 years. Thus, T cell epigenetic clocks measure replicative history and can continue to accumulate well-beyond organismal lifespan.

2024-05-06 | GSE263941 | GEO

Longitudinal DNA methylation in serially passaged BJ Fibroblasts to investigate the latent aging of cells

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.

2024-05-29 | GSE268145 | GEO

Bre1-mediated Set2 protein degradation promotes chronological aging in budding yeast [ChIP-seq]

Project description:Histone modification affects life span in various organisms. The loss of Histone H3K36 methylation can shorten replicative life span in Saccharomyces cerevisiae. However, budding yeast, as a model organism for aging research, has replicative life span (RLS) and chronological life span (CLS). In this study, we showed that the loss of Histone H3K36 methylation can shorten CLS in Saccharomyces cerevisiae. We identified Ubc3/Bre1 mediates polyubiquitination of Set2 K25 and K530 at log phase and stationary phase, and Bre1 interacts with Ubc3 and Rad6 simultaneously. BRE1 knockout can stabilize Set2 protein to maintain H3K36me3 and regulate the transcription of aging related genes, such as DSE1/DSE2/SUN4/EGT2/SCW11. We also proved that Gcn5-mediated Set2 acetylation regulates Set2 protein stability and chronological aging. Altogether, our study showed that knockout of BRE1 and GCN5 regulate Set2 protein level by mediating the polyubiquitination of Set2 to influence the level of H3K36me3 and the transcription level of aging related genes enriched by H3K36me3, thereby extending the chronological life span.

2023-09-29 | GSE221024 | GEO

Bre1-mediated Set2 protein degradation promotes chronological aging in budding yeast [RNA-seq]

2023-09-29 | GSE221025 | GEO

Distinct Intestinal Microbial Signatures Linked to Accelerated Biological Aging in People with HIV

Project description:Genome-wide DNA methylation profiling of colon and ileal biopsies, blood samples from people living with HIV on ART and their matched HIV-negative counterparts. Despite having similar chronological ages, PWH on ART exhibit accelerated biological aging in the colon, ileum, and blood, as measured by various epigenetic aging clocks, compared to HIV-negative controls. Investigating the relationship between microbial translocation and biological aging, PWH on ART had decreased levels of tight junction proteins in the colon and ileum, along with increased microbial translocation.

2024-02-28 | GSE245924 | GEO

Epigenetic editing at individual age-associated CpGs affects the genome-wide epigenetic aging landscape [MSC_hyperL_D11_RNA-seq]

Project description:Aging is reflected by genome-wide DNA methylation changes, but it is largely unclear how these epigenetic modifications are regulated. In this study, we explored the possibility to interfere with epigenetic clocks by epigenetic editing at individual CpG sites. CRISPR-guided approaches (dCas9-DNMT3A and CRISPRoff) facilitated targeted methylation at age-associated genomic regions that remained stable for up to three months. Furthermore, epigenetic editing evoked many genome-wide off-target effects, which were highly reproducible and enriched at other age-associated CpGs – thus, they are not random off-target effects but seem to resemble co-regulated epigenetic bystander modifications. 4C chromatin conformation analysis at age-associated sites revealed increased interactions with bystander modifications and other age-associated CpG sites. Subsequently, we multiplexed epigenetic modifications in HEK293T, mesenchymal stromal cells, and T cells at five genomic regions that become either hypermethylated or hypomethylated upon aging. While epigenetic editing at age-hypomethylated CpGs appeared less stable, it also resulted preferentially in bystander modifications at CpGs with highest correlation with chronological age. Notably, modifications were simultaneously observed at CpGs that gain and lose methylation with age. These results demonstrate that targeted epigenetic editing can modulate the epigenetic aging network in its entirety and thereby interfere with epigenetic clocks.

2025-02-11 | GSE285252 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data