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Transcriptomic signatures of oxytosis/ferroptosis are enriched in Alzheimer’s disease

GSE278716 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2025/01/06 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 samples: 20 samples, each with a distinct title — no replicated groupsGroups 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
Transcriptomic signatures of oxytosis/ferroptosis are enriched in Alzheimer's diseaseBMC biology · 2025
Summary (written by the submitters)
Oxytosis/ferroptosis is a non-apoptotic regulated cell death pathway characterized by glutathione (GSH) depletion with consequent inhibition of the GSH-dependent enzyme GSH peroxidase 4 (Gpx4), activation of lipoxygenases (LOXs), production of reactive oxygen species (ROS) and mitochondrial dysfunction, that culminates in cell death. Most of these changes are observed with aging and exacerbated in Alzheimer’s disease (AD).
Read the full summary ↓
Furthermore, it has been shown that novel inhibitors of oxytosis/ferroptosis are protective in mouse models of aging and AD. One of the most potent of these inhibitors is the neuroprotective compound CMS121. The goal of the present study was to investigate the occurrence of oxytosis/ferroptosis in the AD brain by examining transcriptomic signatures of oxytosis/ferroptosis in multiple cellular and animal models of AD as well as in human AD brain samples. Our data show that different signatures of oxytosis/ferroptosis are enriched to varying extents in the brains of AD mice and human AD patients. https://doi.org/10.1186/s12915-025-02235-6
Published in
Transcriptomic signatures of oxytosis/ferroptosis are enriched in Alzheimer's disease
Currais A, Sanchez K, Soriano-Castell D et al. · BMC biology 2025 · PMID 40369584 · doi:10.1186/s12915-025-02235-6
This dataset
Open GSE278716 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 GSE278716_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 PRJNA1168515 and SRA study SRP536420. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40369584) ↗
Study design
20 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 20 sample titles: 20 distinct titles with little repetition. 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.