← BioTransfer GEO Dataset Finder
GEO series

RNA-Seq Reveals Enhanced Inflammation and Fibrosis in Alcohol-Induced Liver Injury of Apoe Knockout Mice

GSE292193 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2025/03/17 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 5 × Ctrl_ApoE vs 5 × EtOH_WT vs 4 × Ctrl_WT vs 4 × EtOH_ApoEGroups 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
Infiltrating macrophages replace Kupffer cells and play diverse roles in severe alcohol-associated hepatitisCellular & molecular immunology · 2025
Summary (written by the submitters)
Alcohol-related liver disease (ALD) involves inflammation, hepatocellular damage, and fibrosis. Apolipoprotein E (Apoe) plays a role in immune regulation and tissue repair, but its function in ALD remains unclear. To explore this, we performed RNA sequencing on liver tissues from wild-type (WT) and Apoe knockout (Apoe KO) mice subjected to a chronic-plus-binge ethanol model.
Read the full summary ↓
Gene expression analysis revealed distinct clustering between groups and significant alterations in pathways related to neutrophil degranulation, extracellular matrix organization, and collagen formation, indicating heightened inflammation and fibrosis in Apoe KO mice. These findings offer insights into Apoe’s role in ALD and liver repair.
Published in
Infiltrating macrophages replace Kupffer cells and play diverse roles in severe alcohol-associated hepatitis
Wang Y, Guan Y, Feng D et al. · Cellular & molecular immunology 2025 · PMID 40962953 · doi:10.1038/s41423-025-01343-1
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 GSE292193_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: 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 PRJNA1237368 and SRA study SRP571100. Searching any of these in the dataset finder brings you back here.

Study design
5 × Ctrl_ApoE vs 5 × EtOH_WT vs 4 × Ctrl_WT vs 4 × EtOH_ApoE

Supports a between-group comparison across 18 samples.

How we read this: 4 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
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.