GEO series

Aqueous Artemisia argyi extract mitigates acute lung injury by coordinating gut microbiota, metabolic homeostasis, and pulmonary inflammatory signaling

GSE326538 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2026/04/05 Platform GPL24247

At a glance

RNA-seq (gene expression) · mouse · 24 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: 24 samples: 5 conditions, mostly with about 5 replicates eachGroups 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)

Background: Artemisia argyi is a traditional medicinal herb with established anti-inflammatory and immunomodulatory properties. Its aqueous extract (AEAA), enriched in water-soluble bioactive constituents, exhibits favorable safety and bioavailability; however, its potential protective effects against acute lung injury (ALI) and its associations with systemic immunometabolic regulation remain incompletely understood.

Read the full summary ↓

Methods: An LPS-induced ALI mouse model was established following 28 days of AEAA pretreatment. Lung histopathology, pulmonary edema, and inflammatory cytokines were evaluated. Integrated multi-omics analyses—including gut microbiota profiling, untargeted metabolomics of colonic contents and serum, and lung transcriptomics—were performed to characterize treatment-associated microbial, metabolic, and transcriptional alterations.Results: Lung transcriptomic profiling suggested attenuation of LPS-associated transcriptional signatures related to NF-κB, MAPK, Toll-like receptor, and PI3K–AKT signaling pathways. Cross-omics integration further revealed coordinated associations among microbial shifts, metabolic remodeling, and pulmonary inflammatory gene expression.Conclusion: These findings suggest that aqueous Artemisia argyi extract is associated with mitigation of LPS-induced acute lung injury, accompanied by coordinated alterations in gut microbiota composition, host metabolic profiles, and pulmonary inflammatory gene expression. Although causal relationships were not established, this integrated multi-omics analysis provides a systems-level, hypothesis-generating framework supporting the potential of AEAA as a multi-target botanical candidate for ALI.

This dataset

Open GSE326538 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 GSE326538_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 PRJNA1445862 and SRA study SRP688113. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

5 conditions, mostly with about 5 replicates each

LPS lung biol ×5 AEAA low-dose lung biol ×5 AEAA mid-dose lung biol ×5 AEAA high-dose lung biol ×5 Control lung biol ×4

Supports a between-group comparison across 24 samples.

How we read this: 5 replicated groups read from 24 sample titles; they account for 24 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

GSM9634088 Control lung biol rep 1 Control lung biol
GSM9634089 Control lung biol rep 2 Control lung biol
GSM9634090 Control lung biol rep 3 Control lung biol
GSM9634091 Control lung biol rep 4 Control lung biol
GSM9634092 LPS lung biol rep 1 LPS lung biol
GSM9634093 LPS lung biol rep 2 LPS lung biol
GSM9634094 LPS lung biol rep 3 LPS lung biol
GSM9634095 LPS lung biol rep 4 LPS lung biol
GSM9634096 LPS lung biol rep 5 LPS lung biol
GSM9634097 AEAA low-dose lung biol rep 1 AEAA low-dose lung biol
GSM9634098 AEAA low-dose lung biol rep 2 AEAA low-dose lung biol
GSM9634099 AEAA low-dose lung biol rep 3 AEAA low-dose lung biol
GSM9634100 AEAA low-dose lung biol rep 4 AEAA low-dose lung biol
GSM9634101 AEAA low-dose lung biol rep 5 AEAA low-dose lung biol
GSM9634102 AEAA mid-dose lung biol rep 1 AEAA mid-dose lung biol
GSM9634103 AEAA mid-dose lung biol rep 2 AEAA mid-dose lung biol
GSM9634104 AEAA mid-dose lung biol rep 3 AEAA mid-dose lung biol
GSM9634105 AEAA mid-dose lung biol rep 4 AEAA mid-dose lung biol
GSM9634106 AEAA mid-dose lung biol rep 5 AEAA mid-dose lung biol
GSM9634107 AEAA high-dose lung biol rep 1 AEAA high-dose lung biol
GSM9634108 AEAA high-dose lung biol rep 2 AEAA high-dose lung biol
GSM9634109 AEAA high-dose lung biol rep 3 AEAA high-dose lung biol
GSM9634110 AEAA high-dose lung biol rep 4 AEAA high-dose lung biol
GSM9634111 AEAA high-dose lung biol rep 5 AEAA high-dose lung biol

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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.