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A conserved HAND2-BMP5-SMAD1/5/9 axis drives hepatic stellate cell activation and extracellular matrix overproduction in multiple fibrotic etiologies

GSE341139 Homo sapiens (human) RNA-seq (gene expression) 10 samples Submitted 2026/08/08 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 10 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
Homo sapiens (human)
Samples
10 samples: 5 × Control vs 5 × BMP5Groups 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)
Hepatic stellate cell (HSC) activation is a key driver of liver fibrogenesis, but the transcriptional response to bone morphogenetic protein 5 (BMP5) in these cells has not been systematically characterized. To address this, we performed RNA‑sequencing on the human LX‑2 hepatic stellate cell line following stimulation with recombinant BMP5 protein, compared with vehicle‑treated controls.
Read the full summary ↓
Each condition included five independent biological replicates to ensure statistical robustness. Total RNA was extracted, and strand‑specific libraries were prepared for high‑throughput sequencing. This dataset enables the genome‑wide identification of differentially expressed genes, pathway enrichment analyses, and the delineation of BMP5‑regulated networks in HSCs. Our transcriptomic profiles provide a comprehensive resource for understanding the molecular actions of BMP5 in hepatic fibrosis and may reveal potential targets for therapeutic intervention.
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 GSE341139_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 PRJNA1499629 and SRA study SRP720651. Searching any of these in the dataset finder brings you back here.

Study design
5 × Control vs 5 × BMP5

Supports a between-group comparison across 10 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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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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.