← BioTransfer GEO Dataset Finder
GEO series

Transcriptomic analysis of hippocampus and prefrontal cortex in a mouse model of chronic radiation-induced gastrointestinal injury

GSE331524 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/05/25 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 3 × Hippocampus from abdominal irradiated mouse vs 3 × Hippocampus from control mouse vs 3 × Prefrontal cortex from abdominal irradiated mouse vs 3 × Prefrontal cortex from control mouseGroups 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.
Summary (written by the submitters)
Chronic radiation-induced gastrointestinal injury is associated with persistent gut dysfunction and microbiome alterations, which may contribute to extra-intestinal complications including neurovascular and behavioral abnormalities. To investigate molecular changes in the brain during chronic radiation-induced intestinal injury, RNA sequencing was performed using hippocampal and prefrontal cortex tissues collected from irradiated mice and non-irradiated controls.
Read the full summary ↓
Transcriptomic profiling revealed region-specific alterations, with the hippocampus showing more pronounced changes in pathways related to vascular remodeling, extracellular matrix organization, inflammatory response, and blood–brain barrier dysfunction. These datasets provide a resource for understanding gut–brain axis-associated molecular alterations in chronic radiation-induced injury.
This dataset
Open GSE331524 in finder → Find more mouse RNA-seq 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 GSE331524_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: 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 PRJNA1468528 and SRA study SRP702287. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × Hippocampus from abdominal irradiated mouse vs 3 × Hippocampus from control mouse vs 3 × Prefrontal cortex from abdominal irradiated mouse vs 3 × Prefrontal cortex from control mouse

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.