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SEX-DEPENDENT TYPE I INTERFERON SIGNALING EXACERBATES ALZHEIMER'S PATHOLOGY

GSE304521 Mus musculus (mouse) RNA-seq (gene expression) 82 samples Submitted 2026/05/12 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 82 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
82 samples: 20 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
Sex-dependent interferon signaling contributes to female-biased vulnerability in Alzheimer's diseaseJournal of neuroinflammation · 2026
Summary (written by the submitters)
Alzheimer’s disease (AD) disproportionately affects women, but the biological basis for this sex difference remains unclear. Using transcriptomic profiling of postmortem human AD brain tissue, we identified a sex-specific enrichment of interferon-alpha (IFN-α) signaling pathways in females. This immune signature was recapitulated in APP/PS1 transgenic mouse models, where female mice exhibited greater amyloid pathology, neuroinflammation, and neurodegeneration compared to males.
Published in
Sex-dependent interferon signaling contributes to female-biased vulnerability in Alzheimer's disease
López-López V, Iniesta G, Galán-Ganga M et al. · Journal of neuroinflammation 2026 · PMID 42083037 · doi:10.1186/s12974-026-03840-0
This dataset
Open GSE304521 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 GSE304521_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 PRJNA1301423 and SRA study SRP606472. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42083037) ↗
Study design
20 conditions, mostly with about 4 replicates each
C) vehicle male, ×5 C) treated female, ×5 Hippocampus, control vehicle female, ×4 Hippocampus, control vehicle male, ×4 Hippocampus, Alzheimer vehicle female, ×4 Hippocampus, Alzheimer vehicle male, ×4 Hippocampus, control C-176 female, ×4 Hippocampus, control C-176 male, ×4 +12 more

Supports a case/control comparison: 9 samples read as cases, 41 as controls.

How we read this: 20 replicated groups read from 82 sample titles; they account for 82 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

+ 42 more — browse all 82 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.