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Hepatocyte-specific MET deletion exacerbates acetaminophen-induced hepatotoxicity in mice

GSE305543 Mus musculus (mouse) Single-nucleus RNA-seq 18 samples Submitted 2025/09/10 Platform GPL34290
At a glance

Single-nucleus RNA-seq · mouse · 18 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
18 samples: 6 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
Hepatocyte-Specific MET Deletion Exacerbates Acetaminophen-Induced Hepatotoxicity in MiceThe American journal of pathology · 2026
Summary (written by the submitters)
Despite the well-known role of MET in liver regeneration following partial-hepatectomy (PHx), its role in the clinically-relevant acetaminophen (APAP)-induced liver injury (AILI) model remains unexplored. AILI markedly differs from PHx because it is associated with massive liver necrosis. This study aims to delineate the role of MET specifically in AILI.
Read the full summary ↓
Hepatocyte-specific MET-KO mice were given a toxic-dose of APAP and assessed for hepatotoxicity/regeneration parameters. MET deletion strikingly exacerbated initial hepatotoxicity and impaired subsequent proliferative response, culminating in significant mortality. Mechanistically, MET deletion enhanced JNK-activation and its mitochondrial translocation, resulting in excessive mitochondrial oxidative-damage, releasing cell-death inducer AIF into cytosol. Excess JNK-activation was attributed to reduced inhibitory activity of AKT on JNK in the absence of MET-signaling. Pharmacological activation of AKT reduced JNK-activation and hepatotoxicity in MET-KO mice. RNA-sequencing/immunoblotting not only showed repression of proliferative/survival signaling, but also activation of cell death/senescence pathways along with impaired unfolded-protein-response in MET-KO mice. Analysis of published single-nucleus RNA-sequencing data showed proliferation in livers from APAP-induced ALF patients was associated with strong activation of HGF/MET signaling in hepatocytes, with spatial-transcriptomics showing striking induction of HGF surrounding the necrotic-zones. Interestingly, 35% of the genes altered in human-ALF were regulated by MET in the mouse AILI-model. In conclusion, our study demonstrates that MET is crucial for restraining hepatotoxicity following APAP overdose via inhibiting mitochondrial cell-death signaling pathway.
Published in
Hepatocyte-Specific MET Deletion Exacerbates Acetaminophen-Induced Hepatotoxicity in Mice
Jain S, Mukherjee R, Williams G et al. · The American journal of pathology 2026 · PMID 41038273 · doi:10.1016/j.ajpath.2025.09.010
This dataset
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.

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 GSE305543_RAW.tar (it can run to tens of gigabytes).

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.

What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1306461 and SRA study SRP609098. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
WT 0h ×3 KO 0h ×3 WT 6h ×3 KO 6h ×3 WT 24h ×3 KO 24h ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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
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