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Ginsenoside Rg3 attenuates allergic asthma in mice via transcriptomics

GSE325101 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2026/04/08 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 15 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
15 samples: 5 × Mouse lung tissue, normal control, vs 5 × Mouse lung tissue, OVA-induced asthma model, vs 5 × Mouse lung tissue, OVA-induced asthma + Rg3 treatment,Groups 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)
ObjectivesThis study aims to investigate the molecular mechanism by which ginsenoside Rg3 attenuates allergic asthma. Methods: This study established an ovalbumin (OVA)-induced mouse model of allergic asthma to explore the anti-allergic effects and potential molecular mechanisms of ginsenoside Rg3. The therapeutic effects of Rg3 were systematically evaluated via monitoring of general physical conditions, lung histopathological examination, inflammatory cell infiltration analysis in bronchoalveolar lavage fluid, and inflammatory cytokine detection.
Read the full summary ↓
Furthermore, transcriptomic analyses were conducted to screen differentially expressed genes.
This dataset
Open GSE325101 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 GSE325101_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 PRJNA1438633 and SRA study SRP684438. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 × Mouse lung tissue, normal control, vs 5 × Mouse lung tissue, OVA-induced asthma model, vs 5 × Mouse lung tissue, OVA-induced asthma + Rg3 treatment,

Supports a case/control comparison: 10 samples read as cases, 5 as controls.

How we read this: 3 replicated groups read from 15 sample titles; they account for 15 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

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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.