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NF-κB activation in astrocytes critically affects wound regeneration after traumatic brain injury

GSE276182 Mus musculus (mouse) RNA-seq (gene expression) 51 samples Submitted 2026/01/20 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 51 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
51 samples: 12 conditions, mostly with about 4 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
NF-κB activation in astrocytes impairs wound healing after traumatic brain injury in male miceNature communications · 2026
Summary (written by the submitters)
Traumatic brain injury (TBI) is a complex condition in which multiple pathophysiological mechanisms influence the course of the disease. After the primary mechanical impact, neuroinflammatory reactions of glial cells along with infiltrating peripheral immune cells mainly determine the overall clinical outcome. However, these secondary processes and their molecular determinants promoting either beneficial or detrimental consequences are not well-defined.
Read the full summary ↓
Here, we show that TBI-mediated NF-κB activation in astrocytes impairs their homeostatic functions and acts as a key regulator of multiple post-traumatic responses in mice. We determined striking deficits in CNS scar formation after TBI using a combination of NF-κB-reporter mice, conditional mouse models allowing astrocytic NF-κB modulation, and analysis of transcriptomic signatures. Importantly, the development of wound healing deficits depends on paracrine signaling of NF-κB-activated astrocytes and cross-responsive microglial cells. Our findings identify astrocytic NF-κB activation as a critical pathological amplification factor interfering with the restoration of CNS integrity at wound lesion sites.
Published in
NF-κB activation in astrocytes impairs wound healing after traumatic brain injury in male mice
Hein TM, Nespoli E, Hakani M et al. · Nature communications 2026 · PMID 41792174 · doi:10.1038/s41467-026-70304-7
This dataset
Open GSE276182 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 GSE276182_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 PRJNA1155649 and SRA study SRP530050. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41792174) ↗
Study design
12 conditions, mostly with about 4 replicates each
ACSA-2+, Control, Sham ×5 ACSA-2+, IKK2 GoF, TBI +3d ×5 ACSA-2+, IKK2 GoF, Sham ×5 CD11b+, IKK2 GoF, TBI +3d ×5 CD11b+, IKK2 GoF, Sham ×5 ACSA-2+, Control, TBI +3d ×4 ACSA-2+, IKK2 LoF, TBI +3d ×4 ACSA-2+, IKK2 LoF, Sham ×4 +4 more

Supports a between-group comparison across 51 samples.

How we read this: 12 replicated groups read from 51 sample titles; they account for 51 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

+ 11 more — browse all 51 samples with per-sample file links →

Datasets on a similar topic

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