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Western diet-induced MASH in PWK/PhJ mice identifies disruptions in amino acid and sphingolipid metabolism contributing to cardiac dysfunction

GSE309251 Mus musculus (mouse) RNA-seq (gene expression) 347 samples Submitted 2026/04/20 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 347 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
347 samples: 347 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.
Summary (written by the submitters)
Metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH) are liver disorders strongly associated with cardiovascular disease (CVD). The PWK/PhJ mouse strain is an emerging model for severe MASH, highly susceptible to Western diet (WD) and closely mimicking the clinical and molecular profile of human MASH.
Read the full summary ↓
Here, we demonstrate that male and female PWK/PhJ mice exhibit accelerated hepatic fibrosis and cardiac dysfunction following a WD challenge. Elevated cholesterol levels and altered transcript profiles associated with translation and lipid metabolism characterize the early metabolic changes induced by WD. Chronic exposure to WD exacerbates hepatic lipid accumulation, inflammation, and fibrosis, disrupts amino acid metabolism, and increases ceramides and deoxy-ceramides synthesis. We propose that these hepatic changes contribute to the cardiac dysfunction observed in PWK/PhJ mice and may be closely associated with an elevated risk of CVD, thus, positioning the PWK/PhJ strain as a robust model for investigating liver-heart disease connection.
This dataset
Open GSE309251 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 GSE309251_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 PRJNA1334432 and SRA study SRP628644. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
347 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 347 sample titles: 347 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

+ 307 more — browse all 347 samples with per-sample file links →

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.