Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

DNA methylation drift as a marker of lifespan in mammals

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Mus musculus Homo sapiens Macaca mulatta

PROVIDER: GSE75499 | GEO | 2017/07/10

SECONDARY ACCESSION(S): PRJNA304427

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

DNA methylation drift as a marker of lifespan in mammals [monkey]

Project description:We analyzed levels of 5-methyl cytosine at CCCGGG target sites by sequential restriction digest by SmaI and XmaI enzymes, ligating Illumina adaptors to the restriction fragments and reading methylation-specific signatures at the ends of restriction fragments by paired ends Illumina high throughput sequencing.

2017-07-10 | GSE75496 | GEO

DNA methylation drift as a marker of lifespan in mammals [mouse]

2017-07-10 | GSE75495 | GEO

DNA methylation drift as a marker of lifespan in mammals [human]

Project description:We analyzed levels of 5-methyl cytosine CCCGGG target sites by sequential restriction digest by SmaI and XmaI enzymes, ligating Illumina adaptors to the restriction fragments and reading methylation-specific signatures at the ends of restriction fragments by paired ends Illumina high throughput sequencing.

2017-07-10 | GSE75274 | GEO

DNA methylation drift as a marker of lifespan in mammals

Project description:DNA methylation drift as a marker of lifespan in mammals

| PRJNA304427 | ENA

DNA methylation rates scale with maximum lifespan across mammals.

Project description:DNA methylation rates have previously been found to broadly correlate with maximum lifespan in mammals, yet no precise relationship has been observed. We developed a statistically robust framework to compare methylation rates at conserved age-related sites across mammals. We found that methylation rates negatively scale with maximum lifespan in both blood and skin. The emergence of explicit scaling suggests that methylation rates are, or are linked to, an evolutionary constraint on maximum lifespan acting across diverse mammalian lineages.

| S-EPMC10798888 | biostudies-literature

The rate of epigenetic drift scales with maximum lifespan across mammals.

Project description:Epigenetic drift or "disorder" increases across the mouse lifespan and is suggested to underlie epigenetic clock signals. While the role of epigenetic drift in determining maximum lifespan across species has been debated, robust tests of this hypothesis are lacking. Here, we test if epigenetic disorder at various levels of genomic resolution explains maximum lifespan across four mammal species. We show that epigenetic disorder increases with age in all species and at all levels of genomic resolution tested. The rate of disorder accumulation occurs faster in shorter lived species and corresponds to species adjusted maximum lifespan. While the density of cytosine-phosphate-guanine dinucleotides ("CpGs") is negatively associated with the rate of age-associated disorder accumulation, it does not fully explain differences across species. Our findings support the hypothesis that the rate of epigenetic drift explains maximum lifespan and provide partial support for the hypothesis that CpG density buffers against epigenetic drift.

| S-EPMC10676422 | biostudies-literature

The rate of ageing-associated DNA methylation dynamics is a molecular readout of lifespan variation amongst mammalian species

Project description:This SuperSeries is composed of the SubSeries listed below.

2018-01-17 | GSE86059 | GEO

Fundamental equations linking methylation dynamics to maximum lifespan in mammals.

Project description:We describe a framework that addresses concern that the rate of change in any aging biomarker displays a trivial inverse relation with maximum lifespan. We apply this framework to methylation data from the Mammalian Methylation Consortium. We study the relationship of lifespan with the average rate of change in methylation (AROCM) from two datasets: one with 90 dog breeds and the other with 125 mammalian species. After examining 54 chromatin states, we conclude three key findings: First, a reciprocal relationship exists between the AROCM in bivalent promoter regions and maximum mammalian lifespan: AROCM ∝ 1/MaxLifespan. Second, the correlation between average methylation and age bears no relation to maximum lifespan, Cor(Methyl,Age) ⊥ MaxLifespan. Third, the rate of methylation change in young animals is related to that in old animals: Young animals' AROCM ∝ Old AROCM. These findings critically hinge on the chromatin context, as different results emerge in other chromatin contexts.

| S-EPMC11405513 | biostudies-literature

Epigenetic drift during long-term culture of cells in vitro

Project description:This SuperSeries is composed of the SubSeries listed below.

2021-05-26 | GSE144196 | GEO

Project description:This SuperSeries is composed of the SubSeries listed below.

2014-01-09 | GSE46067 | GEO