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Coagulation protease-activated receptor-2 (PAR2) promotes dyslipidemia, obesity and MASLD through suppression of a hepatic pioneer factor HNF4a

GSE319296 Mus musculus (mouse) RNA-seq (gene expression) 9 samples Submitted 2026/05/20 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 9 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
9 samples: 9 samples, each with a distinct title — no replicated groupsGroups 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
Coagulation protease-activated receptor-2 (PAR2) promotes dyslipidemia, obesity and MASLD through repression of the hepatic pioneer factor HNF4αJHEP reports : innovation in hepatology · 2026
Summary (written by the submitters)
MASLD and its more severe version, MASH, are attributable to metabolic dysfunction and are associated with cardiometabolic disease, atherothrombosis, and obesity. The exact pathophysiological mechanisms linking MASLD and CVD have yet to be elucidated but share common metabolic abnormalities that could interact synergistically to increase the risk of both heart disease and liver disease.
Read the full summary ↓
Protease-activated receptor 2 (PAR2), a receptor activated by prothrombotic coagulation proteases that are dysregulated in inflammatory and fibrotic diseases, is emerging as a new drug target for MASH. Using patient samples, we discovered that expression of liver PAR2 is increased in the livers of obese patients with MASLD and MASH.To address the direct contribution of hepatocyte PAR2 to progression of MASLD and obesity, we fed hepatocyte-specific PAR2 knockout mice(PAR2dHep), whole-body PAR2-deficient mice(PAR2 KO), and control floxed WT mice(PAR2fl/fl) high-fat diet and conducted metabolic, biochemical and RNA-seq analyses. Hepatocyte-specific deletion of PAR2 caused a reduction in body weight and significantly lowered triglycerides and cholesterol levels in plasma and livers of mice fed high-fat diet. Analysis of bulk liver RNA seq data showed that global or hepatocyte-specific deletion of PAR2 resulted in significant improvements in fatty acid metabolic and reverse cholesterol transport pathways in liver.These data provide support that targeting hepatic PAR2 may potentially provide broad liver and cardiometabolic benefits to patients with MASLD and MASH.
Published in
Coagulation protease-activated receptor-2 (PAR2) promotes dyslipidemia, obesity and MASLD through repression of the hepatic pioneer factor HNF4α
Chen X, Nguyen N, Turner SE et al. · JHEP reports : innovation in hepatology 2026 · PMID 42092280 · doi:10.1016/j.jhepr.2026.101796
This dataset
Open GSE319296 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 GSE319296_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 PRJNA1422784 and SRA study SRP676585. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42092280) ↗
Study design
9 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 9 sample titles: 9 distinct titles with little repetition. 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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