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Pan AMPK-activator O304 ameliorates oxidative stress in MASLD, reverses lipid zonation and reveal lobular metabolic heterogeneitites in the murine live

GSE266874 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2025/04/16 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 30 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
30 samples: 30 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
AMPK activator ATX-304 reduces oxidative stress and improves MASLD via metabolic switchingJCI insight · 2025
Summary (written by the submitters)
Therapeutic activators of the AMP-Activated Protein Kinase (AMPK) have been proposed as a potential treatment for metabolic dysfunction-associated steatotic liver disease, the most common chronic liver disease worldwide. This study investigates the effect of pan-AMPK activator O304 in a preclinical mouse model of progressive fatty liver disease and demonstrate that O304 reduces body fat mass, blood cholesterol and liver steatosis, as well as ameliorate development of liver fibrosis.
Read the full summary ↓
These beneficial effects are accompanied by a shift in the metabolic program of the liver including increased lipid oxidation, reduced lipid synthesis, as well as changes in cholesterol and lipid transport. In addition, we detect lobular heterogeneities in the response to O304 and a consistent switch in the zonal distribution of lipid droplets upon treatment. Taken together, our data suggest that O304 is a promising candidate for treatment of MASLD also in human patients
Published in
AMPK activator ATX-304 reduces oxidative stress and improves MASLD via metabolic switching
Holm E, Vermeulen I, Parween S et al. · JCI insight 2025 · PMID 40197369 · doi:10.1172/jci.insight.179990
This dataset
Open GSE266874 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 GSE266874_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 PRJNA1108647 and SRA study SRP506122. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40197369) ↗
Study design
30 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 30 sample titles: 30 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

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.