← BioTransfer GEO Dataset Finder
GEO series

Transcriptomic profiling of the therapeutic effects of Huashibaidu Granules (HBG) on bleomycin-induced pulmonary fibrosis in mice.

GSE329966 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/08/01 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: 4 × Control vs 4 × Model vs 4 × HSBDGroups 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)
Pulmonary fibrosis is a chronic and progressive interstitial lung disease characterized by excessive extracellular matrix deposition. Huashibaidu Granules (HBG), a traditional Chinese medicine formula, has demonstrated clinical efficacy in treating inflammatory lung diseases. In this study, we aimed to investigate the molecular mechanisms of HBG in alleviating pulmonary fibrosis.
Read the full summary ↓
We established a bleomycin-induced pulmonary fibrosis mouse model and administered HBG at different doses. Total RNA was extracted from lung tissues for high-throughput RNA sequencing. Our results provide a comprehensive transcriptomic landscape of HBG’s intervention, highlighting its role in regulating key signaling pathways (such as TGF-β/Smad and PI3K-Akt) and macrophage polarization.
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 GSE329966_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 PRJNA1462283 and SRA study SRP697668. Searching any of these in the dataset finder brings you back here.

Study design
4 × Control vs 4 × Model vs 4 × HSBD

Supports a between-group comparison across 12 samples.

How we read this: 3 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
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.