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R-spondin 2 suppresses hepatic steatosis via activation of AMPK-ACC signaling

GSE303657 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/08/08 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 6 × Control vs 6 × Rspo2-AAVGroups 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
R-spondin 2 suppresses hepatic steatosis via activation of AMPK-ACC signalingJHEP reports : innovation in hepatology · 2025
Summary (written by the submitters)
Metabolic dysfunction-associated steatotic liver disease (MASLD) primarily results from dysregulated lipid metabolism in hepatocytes. However, the mechanisms governing hepatic lipid metabolism remain incompletely understood. Our preliminary experiments demonstrated elevated expression of R-spondin 2 (RSPO2), a matricellular protein, in steatotic livers.
Read the full summary ↓
To investigate the role of RSPO2 in MASLD and the potential mechanisms involved, we performed bulk RNA sequencing of liver samples from Apoe knockout mice injected with either control Gfp-AAV or Rspo2-AAV to induce RSPO2 overexpression, following 12 weeks of Western diet feeding.
Published in
R-spondin 2 suppresses hepatic steatosis via activation of AMPK-ACC signaling
Aithabathula RV, Singla B, Kathuria I et al. · JHEP reports : innovation in hepatology 2025 · PMID 41321928 · doi:10.1016/j.jhepr.2025.101551
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 GSE303657_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 PRJNA1295564 and SRA study SRP603300. Searching any of these in the dataset finder brings you back here.

Study design
6 × Control vs 6 × Rspo2-AAV

Supports a between-group comparison across 12 samples.

How we read this: 2 replicated groups read from 12 sample titles; they account for 12 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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