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Convergence of aging- and rejuvenation-related epigenetic alterations on PRC2 targets [ChIP-Seq]

GSE288574 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 17 samples Submitted 2026/02/02 Platform GPL34290
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 17 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Mus musculus (mouse)
Samples
17 samples: 6 conditions, mostly in triplicateGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Convergence of aging- and rejuvenation-related epigenetic alterations on PRC2 targetsMolecular systems biology · 2026
Summary (written by the submitters)
Rejuvenation of tissues in physiologically aging mice can be accomplished by long-term partial reprogramming via expression of reprogramming factors (Oct4, Sox2, Klf4 and c-Myc). To investigate the epigenetic determinants of partial reprogramming-mediated rejuvenation, we used whole genome bisulfite sequencing to carry out unbiased comprehensive profiling of DNA methylation changes in skin from mice subjected to partial reprogramming, as well as young and untreated old controls.
Read the full summary ↓
We found a striking convergence of age- and rejuvenation-related epigenetic alterations on targets of the Polycomb repressive complex 2 (PRC2). These results are also supported by a likewise prominent enrichment of PRC2 targets in gene expression data, suggesting that PRC2 activity can modulate aging and mediate tissue rejuvenation.
Published in
Convergence of aging- and rejuvenation-related epigenetic alterations on PRC2 targets
Camacho O, Koldobskiy MA, Reddy P et al. · Molecular systems biology 2026 · PMID 41667860 · doi:10.1038/s44320-026-00195-9
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE288574_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1218460 and SRA study SRP561139. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
Old tail epidermis, H3K27me3, biol ×3 Young tail epidermis, INPUT, biol ×3 Old tail epidermis, INPUT, biol ×3 Young tail epidermis, H3K9me2, biol ×3 Old tail epidermis, H3K9me2, biol ×3 Young tail epidermis, H3K27me3, biol ×2

Supports a between-group comparison across 17 samples.

How we read this: 6 replicated groups read from 17 sample titles; they account for 17 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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