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Targeting ADAR1-mediated RNA editing inhibits hepatic stellate cell activation and liver fibrosis by enhancing HSC-intrinsic IFN signaling

GSE283569 Mus musculus (mouse) RNA-seq (gene expression) 2 samples Submitted 2026/01/23 Platform GPL13112
At a glance

RNA-seq (gene expression) · mouse · 2 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
2 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
Targeting ADAR1-mediated RNA editing inhibits hepatic stellate cell activation and liver fibrosis by enhancing HSC-intrinsic innate immunityGut · 2026
Summary (written by the submitters)
This study aims to characterize the RNA editome during fibrogenesis and to elucidate the role of ADAR1 in hepatic stellate cell (HSC) activation and liver fibrosis. We showed that ADAR1 ablation in primary mouse HSCs ameliorated HSC activation. Mechanistically, ADAR1 ablation led to dsRNA accumulation and activated HSC-intrinsic IFN signaling in an MDA5-dependent manner.
Read the full summary ↓
RNA editome analysis revealed that the 3’ UTR of the pro-fibrogenic gene Col3a1 was highly edited by ADAR1, leading to mRNA stabilization and increased protein expression. Targeting ADAR1-mediated RNA editing in HSCs holds promise to prevent and treat liver fibrosis.
Published in
Targeting ADAR1-mediated RNA editing inhibits hepatic stellate cell activation and liver fibrosis by enhancing HSC-intrinsic innate immunity
Xi Y, Liu L, Kim JW et al. · Gut 2026 · PMID 41554631 · doi:10.1136/gutjnl-2025-335942
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 GSE283569_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 PRJNA1194544 and SRA study SRP549588. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 2 more — browse all 2 samples with per-sample file links →

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