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A Metabolic Switch Controlling Liver Cancer Evolution from Senescent NASH Hepatocytes

GSE240047 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2024/07/15 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: 10 conditions, mostly in triplicateGroups 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
FBP1 controls liver cancer evolution from senescent MASH hepatocytesNature · 2025
Summary (written by the submitters)
Hepatocellular carcinoma (HCC), the third most common cancer, originates from differentiated hepatocytes undergoing compensatory proliferation in livers damaged primarily by viruses or nonalcoholic steatohepatitis (NASH)1,2. While increasing HCC risk3, NASH also induces TP53-dependent hepatocyte senescence4. How this tumor-suppressive response is activated but eventually bypassed to license HCC progression is unknown.
Read the full summary ↓
We identified the gluconeogenic enzyme fructose-1,6-bisphosphatase 1 (FBP1) as a TP53 target, induced in senescent NASH hepatocytes but downregulated in most human HCCs. Initial FBP1 downregulation in disease-associated hepatocytes, whose accumulation precedes HCC development5, activates AKT to inhibits GSK3 substrate binding, thereby augmenting activation of NRF2 which accelerates FBP1 and TP53 degradation. Intrinsic NRF2 activation and FBP1 loss trigger overlapping transcriptomic responses that suppress senescence, enhance hepatocyte proliferation and metabolism, and enable NRAS- or NASH-induced hepatocarcinogenesis. This AKT-dependent metabolic switch, operative in mice and humans, controls NASH to HCC progression. Our results further suggest that NASH-related hepatocyte senescence is triggered by hypernutrition-induced single strand DNA breaks. Senescence reversal enables HCC progenitor expansion and somatic mutagenesis.
Published in
FBP1 controls liver cancer evolution from senescent MASH hepatocytes
Gu L, Zhu Y, Nandi SP et al. · Nature 2025 · PMID 39743585 · doi:10.1038/s41586-024-08317-9
This dataset
Open GSE240047 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 GSE240047_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 PRJNA1001982 and SRA study SRP453261. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39743585) ↗
Study design
10 conditions, mostly in triplicate
Nrf2Tg/Tg A ×3 Nrf2Act-Hep A ×3 Nrf2Tg/Tg + HD A ×3 Nrf2Act-Hep + HD A ×3 Fbp1F/F B ×3 Fbp1△Hep B ×3 Fbp1F/F + HD B ×3 Fbp1△Hep + HD B ×3 +2 more

Supports a between-group comparison across 30 samples.

How we read this: 10 replicated groups read from 30 sample titles; they account for 30 of them. 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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