← BioTransfer GEO Dataset Finder
GEO series

Social hierarchy shapes behavioral and transcriptional responses to chronic stress and ketamine in male mice

GSE325386 Mus musculus (mouse) RNA-seq (gene expression) 79 samples Submitted 2026/07/29 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 79 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
79 samples: 8 conditions, mostly with about 10 replicates eachGroups 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
Social hierarchy shapes behavioral and transcriptional responses to chronic stress and ketamine in male miceiScience · 2026
Summary (written by the submitters)
Chronic stress is a major risk factor for psychiatric disorders, yet the mechanisms underlying individual variability in stress vulnerability and treatment response remain poorly understood. Here, we combined a novel behavioral phenotyping system with high-throughput gene expression profiling to examine how chronic stress and ketamine treatment interact over time.
Read the full summary ↓
Bulk RNA sequencing was performed in the medial prefrontal cortex and ventral hippocampus, revealing a hierarchy-dependent transcriptional response with 141 differentially expressed genes in the medial prefrontal cortex of dominant, ketamine-treated mice, enriched in synaptic and postsynaptic compartments. These findings identify synaptic remodeling as a substrate for ketamine’s sustained antidepressant effects and underscore social rank as a critical factor when dissecting molecular responses to stress and treatment.
Published in
Social hierarchy shapes behavioral and transcriptional responses to chronic stress and ketamine in male mice
Gasperoni S, Ji X, Sudre-Chinsky C et al. · iScience 2026 · PMID 42495548 · doi:10.1016/j.isci.2026.116825
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 GSE325386_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1439839 and SRA study SRP685149. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly with about 10 replicates each
vHipp_ctrl_Saline ×10 mPFC_ctrl_Saline ×10 vHipp_ctrl_Ketamine ×10 mPFC_ctrl_Ketamine ×10 vHipp_csds_Saline ×10 mPFC_csds_Saline ×10 vHipp_csds_Ketamine ×10 mPFC_csds_Ketamine ×9

Supports a between-group comparison across 79 samples.

How we read this: 8 replicated groups read from 79 sample titles; they account for 79 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

+ 39 more — browse all 79 samples with per-sample file links →

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.