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Bulk RNA-seq of mouse brain following closed head injury: role of IL-1R1 signaling

GSE326452 Mus musculus (mouse) RNA-seq (gene expression) 200 samples Submitted 2026/07/29 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 200 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
200 samples: 43 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
A single mild closed-head injury disrupts synaptic strength and promotes hippocampal hyperexcitability in miceBrain communications · 2026
Summary (written by the submitters)
Bulk RNA-seq was performed on brain tissue from mice following closed head injury (CHI) or sham surgery at 9h, 24h, and 72h post-injury. Four genotypes were studied: C57BL/6J wild-type, IL-1R1 global knockout (gKO), IL-1R1 endothelial restore (eRestore), and IL-1R1 neuronal restore (nRestore) to dissect cell-type specific IL-1R1 signaling contributions to the transcriptomic response to traumatic brain injury.
Published in
A single mild closed-head injury disrupts synaptic strength and promotes hippocampal hyperexcitability in mice
Vincent JC, Lanning MJ, Saito K et al. · Brain communications 2026 · PMID 42488755 · doi:10.1093/braincomms/fcag268
This dataset
Open GSE326452 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 GSE326452_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 PRJNA1445297 and SRA study SRP687867. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42488755) ↗
Study design
43 conditions, mostly in triplicate
C57BL/6J_F_CHI_24h_A ×8 C57BL/6J_M_CHI_72h_A ×8 C57BL/6J_M_CHI_9h_A ×8 IL-1R1 gKO_F_CHI_24h_A ×8 C57BL/6J_F_CHI_9h_A ×7 IL-1R1 gKO_M_CHI_9h_A ×7 IL-1R1 nRestore_F_CHI_24h_A ×7 C57BL/6J_F_CHI_72h_A ×6 +38 more

Supports a between-group comparison across 197 samples.

How we read this: 43 replicated groups read from 200 sample titles; they account for 197 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

+ 160 more — browse all 200 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.