← BioTransfer GEO Dataset Finder
GEO series

Hippocampal DNA methylation promote memory persistence by facilitating systems consolidation and cortical engram stabilization

GSE261404 Mus musculus (mouse) DNA methylation 16 samples Submitted 2025/03/10 Platform GPL23479
At a glance

DNA methylation · mouse · 16 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Mus musculus (mouse)
Samples
16 samples: 4 × Dnmt3a2_1d vs 4 × Dnmt3a2_5d vs 4 × Control_1d vs 4 × Control_5dGroups 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
Hippocampal DNA Methylation Promotes Contextual Fear Memory Persistence by Facilitating Systems Consolidation and Cortical Engram StabilizationBiological psychiatry · 2025
Summary (written by the submitters)
The long-term stabilization of memory traces or engram involves the rapid formation of cortical engrams during encoding that mature functionally over time guided by the activity of the hippocampus. The molecular mechanisms that regulate this process remain largely unknown. Here, we found that hippocampal DNA methylation converts short-lasting into long-lasting memories by promoting systems consolidation and the stabilization of cortical engrams.
Published in
Hippocampal DNA Methylation Promotes Contextual Fear Memory Persistence by Facilitating Systems Consolidation and Cortical Engram Stabilization
Kupke J, Loizou S, Bengtson CP et al. · Biological psychiatry 2025 · PMID 39880069 · doi:10.1016/j.biopsych.2025.01.016
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 GSE261404_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 beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA1086880 and SRA study SRP494831. Searching any of these in the dataset finder brings you back here.

Study design
4 × Dnmt3a2_1d vs 4 × Dnmt3a2_5d vs 4 × Control_1d vs 4 × Control_5d

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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

Search all mouse RNA-seq 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.