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single nucleus RNA sequencing of cells from across the whole mouse brain in a mouse model of ALS

GSE281126 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2026/02/03 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 5 × rNLS sample vs 5 × control sampleGroups 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
Neuronal TDP-43 pathology drives astrocytic interferon response in a mouse model of ALSJournal of neuroinflammation · 2025
Summary (written by the submitters)
The mouse brain is a complex tissue with many cell types including distinct populations of neurons, astrocytes, and microglia. We examined cell type specific gene expression in cells across the whole brain of rNLS8 mice that express doxycycline suppressible human TDP-43 (hTDP-43) with a defective nuclear localization signal (hTDP-43ΔNLS) regulated by the NEFH promoter, at a timepoint when they are strongly symptomatic but preceeding robust neurodegeneration.
Published in
Neuronal TDP-43 pathology drives astrocytic interferon response in a mouse model of ALS
An J, Hendricks N, Wheeler J et al. · Journal of neuroinflammation 2025 · PMID 41419928 · doi:10.1186/s12974-025-03658-2
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 GSE281126_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 PRJNA1182348 and SRA study SRP543321. Searching any of these in the dataset finder brings you back here.

Study design
5 × rNLS sample vs 5 × control sample

Supports a between-group comparison across 10 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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

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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.