← BioTransfer GEO Dataset Finder
GEO series

Epigenetic editing at individual age-associated CpGs affects the genome-wide epigenetic aging landscape

GSE269760 Homo sapiens (human) DNA methylation 68 samples Submitted 2025/02/11 Platform GPL33022Platform GPL24676Platform GPL11154Platform GPL21145
At a glance

DNA methylation · human · 68 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Homo sapiens (human)
Samples
68 samples: 20 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
Epigenetic editing at individual age-associated CpGs affects the genome-wide epigenetic aging landscapeNature aging · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Epigenetic editing at individual age-associated CpGs affects the genome-wide epigenetic aging landscape
Liesenfelder S, Elsafi Mabrouk MH, Iliescu J et al. · Nature aging 2025 · PMID 40128456 · doi:10.1038/s43587-025-00841-1
This dataset
Open GSE269760 in finder → Find more human datasets →
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.

Series matrix ↓
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 GSE269760_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

What the files usually look like: Look for beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA1123622 and SRA study SRP513732. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40128456) ↗
Study design
20 conditions, mostly in triplicate
HEK293T HyperCpGs targeted dCAS9-DNMT3A Day 7… ×6 HEK293T scramble guide dCAS9-DNMT3A Day 7 Rep… ×6 MSCs HyperCpGs targeted dCAS9-DNMT3A Day 11 R… ×5 MSCs scramble guide dCAS9-DNMT3A Day 11 Repli… ×4 HEK293T PDE4C targeted dCAS9-DNMT3A Replica ×3 HEK293T PDE4C targeted CRISPRoff Replica ×3 HEK293T control (PDE4C guides only) Replica ×3 HEK293T viewpoint PDE4C Replica ×3 +13 more

Supports a between-group comparison across 67 samples.

How we read this: 20 replicated groups read from 68 sample titles; they account for 67 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

+ 28 more — browse all 68 samples with per-sample file links →

Datasets on a similar topic

Search all human datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.