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Effects of hepatic mARC1 inhibition in a mouse model of liver fibrosis

GSE272274 Mus musculus (mouse) RNA-seq (gene expression) 25 samples Submitted 2026/07/14 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: 10 × HFD_PBS_S vs 10 × HFD_siMARC1_S vs 5 × Chow_Diet_PBS_SGroups 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.
Summary (written by the submitters)
Metabolic-dysfunction associated steatohepatitis (MASH) is defined by increased liver adiposity that is causative to hepatic fibrosis, cirrhosis, and hepatocellular carcinoma. Despite the high prevalence of the disease, there are currently few treatment options in part because the mechanistic basis causative to hepatic fatty acid biogenesis and accumulation are unresolved.
Read the full summary ↓
Recent evidence indicates that enhanced mitochondrial amidoxime-reducing component 1 (mARC1) induction is associated with increased hepatic triglyceride accumulation and reduced plasma triglycerides indicting that it may play an important role in NASH pathogenesis. The goal of this study is to explore the therapeutic potential of mARC1 inhibition on the inhibition or reversal of NASH pathogenesis in a mouse model of diet induced MASH.
This dataset
Open GSE272274 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 GSE272274_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 PRJNA1135996 and SRA study SRP519970. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
10 × HFD_PBS_S vs 10 × HFD_siMARC1_S vs 5 × Chow_Diet_PBS_S

Supports a between-group comparison across 25 samples.

How we read this: 3 replicated groups read from 25 sample titles; they account for 25 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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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.