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Multi-Modal Comparison of human Hepatic Stellate Cells identifies novel therapeutic targets for Metabolic Dysfunction-Associated Steatotic Liver Disease

GSE244832 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 36 samples Submitted 2024/11/13 Platform GPL18573Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 36 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Samples
36 samples: 36 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
Multi-modal analysis of human hepatic stellate cells identifies novel therapeutic targets for metabolic dysfunction-associated steatotic liver diseaseJournal of hepatology · 2025
Summary (written by the submitters)
Background and aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) progresses from steatosis (Metabolic dysfunction-associated steatotic liver, MASL) to Metabolic dysfunction-associated steatohepatitis (MASH) with fibrosis. Activation of Hepatic Stellate Cells (HSCs) into fibrogenic myofibroblasts plays a critical role in the pathogenesis of MASH liver fibrosis.
Read the full summary ↓
Here we compared gene expression and chromatin accessibility profiles of human HSCs in NORMAL, MASL, and MASH livers at single cell resolution. Methods: 18 human livers were profiled using single-nucleus (sn) RNA-seq and snATAC-seq. High priority targets were identified and then tested in 2D human HSCs, 3D human liver spheroids, and HSC-specific gene knockout mice. Results: This study identified novel gene regulatory mechanisms underlying MASL- and MASH-associated HSC heterogeneity and outlined potential strategies for anti-fibrotic therapy. Specifically, MASH-enriched HSC-subcluster hA1, represented by highly fibrogenic population of myofibroblasts, served as a critical source of extracellular matrix protein (ECM) in MASH, and its activation was regulated via a cross-talk between lineage-specific (JUNB/AP1), cluster-specific (RUNX1/2) and signal-specific (FOXA1/2) transcription factors (TFs). Additionally, we identified a set of core genes (GAS7, SPON1, SERPINE1, LTBP2, KLF9, EFEMP1) that drive ECM production in hA1 HSCs. The pathological relevance of the selected hA1 targets, such as SERPINE1 and others, was demonstrated using siRNA-based HSC-specific gene knockdown or pharmacological inhibitor of SERPINE1 in 3D human MASH liver spheroids, and HSC-specific Serpine1 knockout mice with MASH. Conclusion: We identified potential targets for anti-fibrotic therapy of MASH in patients.
Published in
Multi-modal analysis of human hepatic stellate cells identifies novel therapeutic targets for metabolic dysfunction-associated steatotic liver disease
Kim HY, Rosenthal SB, Liu X et al. · Journal of hepatology 2025 · PMID 39522884 · doi:10.1016/j.jhep.2024.10.044
This dataset
Open GSE244832 in finder → Find more human 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 GSE244832_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1024976 and SRA study SRP464940. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39522884) ↗
Study design
36 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 36 sample titles: 36 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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