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The role of endothelial Zeb2 in the progression of non-alcoholic fatty liver disease

GSE224595 Mus musculus (mouse) RNA-seq (gene expression) 23 samples Submitted 2025/07/02 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 23 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
23 samples
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
Loss of endothelial ZEB2 in mice attenuates steatosis early during metabolic dysfunction-associated steatotic liver diseaseScientific reports · 2025
Summary (written by the submitters)
Zinc-Finger E-Box-binding Homeobox (Zeb)2 has an anti-angiogenic and anti-fibrotic role in liver endothelial cells, but its role in non-alcoholic fatty liver disease remains unknown. We performed RNA sequencing on endothelial cells sorted from wild-type mice and mice lacking Zeb2 specifically in endothelial cells kept on a western or standard diet to identify RNA expression changes and gene ontology terms affected by knock-out of endothelial Zeb2, western diet challenge, or the combination of both challenges.
Published in
Loss of endothelial ZEB2 in mice attenuates steatosis early during metabolic dysfunction-associated steatotic liver disease
Dheedene W, Verhulst S, Demuynck L et al. · Scientific reports 2025 · PMID 40603966 · doi:10.1038/s41598-025-05881-6
This dataset
Open GSE224595 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 GSE224595_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 PRJNA931933 and SRA study SRP421136. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40603966) ↗
Study design
A cohort of 23 individual samples

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

How we read this: Sample titles run WD1057 … WD1151 and carry no group information.

Samples in this study
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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