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GSE241855 Mus musculus (mouse) RNA-seq (gene expression) 25 samples Submitted 2025/09/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 25 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
25 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
Steatotic liver disease induces YAP/TAZ-driven cell competition that can suppress tumor initiationJournal of hepatology · 2025
Summary (written by the submitters)
Current models of hepatocellular tumorigenesis propose that the chronic injury and inflammation in NASH are mutagenic and growth promoting which can eventually lead to HCC. However, contrary to this model, here we show that NASH suppresses the early development of liver cancers in mice. We found that NASH did not hinder the malignant reprogramming of oncogene expressing hepatocytes but suppressed their clonal expansion and led to their elimination.
Read the full summary ↓
This elimination was not caused by a direct effect of NASH on malignant cells but due to the stimulation of cell competition in tumor-surrounding hepatocytes. Mechanistically, NASH activated the Hippo pathway effectors Yap and Taz in hepatocytes, which elevated their cellular fitness. Thus, deletion of Yap/Taz in tumor-surrounding hepatocytes abolished the elimination of tumor cells by NASH, while experimental hyperactivation of Yap in malignant cells protected them from NASH-induced elimination
Published in
Steatotic liver disease induces YAP/TAZ-driven cell competition that can suppress tumor initiation
Algueró-Nadal A, Mol H, Zoppolato E et al. · Journal of hepatology 2025 · PMID 40484249 · doi:10.1016/j.jhep.2025.06.002
This dataset
Open GSE241855 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 GSE241855_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 PRJNA1010345 and SRA study SRP457339. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40484249) ↗
Samples in this study

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+ 25 more — browse all 25 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.