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Convergence of aging- and rejuvenation-related epigenetic alterations on PRC2 targets

GSE289856 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 39 samples Submitted 2026/02/02 Platform GPL21103Platform GPL34290
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 39 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
39 samples: 11 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
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
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 GSE289856_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 PRJNA1225190 and SRA study SRP436016. Searching any of these in the dataset finder brings you back here.

Study design
11 conditions, mostly in triplicate
Old_Skin_Dox ×5 Young tail epidermis, biol ×5 Old tail epidermis, biol ×5 Old_Skin_Control ×4 Young_Skin_Control ×3 Old tail epidermis, H3K27me3, biol ×3 Young tail epidermis, INPUT, biol ×3 Old tail epidermis, INPUT, biol ×3 +3 more

Supports a between-group comparison across 39 samples.

How we read this: 11 replicated groups read from 39 sample titles; they account for 39 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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