Omics · study · 2026
DNA methylation gain at polycomb CpG islands is a hallmark of cellular aging
Listed in NCBI GEO
Aging is a complex multifactorial process that affects cellular function and tissue homeostasis over time.
Description
Despite extensive research, the molecular mechanisms driving cellular aging remain poorly understood. Many studies have focused on changes in DNA methylation as an indicator of aging.
In particular, the degree of methylation at polycomb CpG islands has been shown to be predictive of phenotypic changes associated with aging. Since many age-related pathological processes, are thought to be of single-cell origin (e.g. cancer), we questioned whether polycomb DNA methylation also occurs preferentially in a subset of cells within the overall population. Using single-cell whole-genome data from multiple ages and tissues, we identify Average Polycomb CpG Methylation (AvPolyMe) as a hallmark of cellular aging.
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This revealed that aging occurs at varying rates within specific cells, with proliferating cells showing accelerated levels. Gene expression analysis in “young” and “old” single cells identified changes in immune response, translation regulation, tumorigenesis and other cellular processes associated with aging. These results challenge traditional models of homogeneous cellular aging and suggest that aging is a highly individualized process at the single-cell level that may be driven by programmed changes in polycomb CpG island DNA methylation.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE290nnn/GSE290999 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE290999 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1231360 ncbi.nlm.nih.gov/bioproject/PRJNA1231360 ↗
project · from NCBI GEO
- PubMed 42265112 pubmed.ncbi.nlm.nih.gov/42265112 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Homo sapiens · Methylation profiling by high throughput sequencing · Mus musculus
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE290999 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:methylation-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:10090 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |