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Toll-Like-Receptor 5 Reduces Lung Dysbiosis and Protects Against Pulmonary Fibrosis

GSE314582 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2026/04/03 Platform GPL19057Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 6 conditions, mostly in triplicateGroups 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
Toll-like receptor 5 protects against murine lung fibrosis through reduced dysbiosis, and TLR5 deficiency is associated with human IPFScience translational medicine · 2026
Summary (written by the submitters)
TLR5 is a pathogen recognition receptor against flagellin that is expressed in various epithelial and immune cells. Mice pretreated with TLR5-agonist are protected against bleomycin-induced pulmonary fibrosis. However, the mechanisms by which TLR5-agonism protects against pulmonary fibrosis remains to be determined. Here, we found innate host defense gene sets to be selectively elevated in sorted type 2 alveolar epithelial.
Published in
Toll-like receptor 5 protects against murine lung fibrosis through reduced dysbiosis, and TLR5 deficiency is associated with human IPF
Sakamachi Y, Wiley E, Trempus CS et al. · Science translational medicine 2026 · PMID 42234773 · doi:10.1126/scitranslmed.adw1028
This dataset
Open GSE314582 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 GSE314582_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 PRJNA1391554 and SRA study SRP656852. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42234773) ↗
Study design
6 conditions, mostly in triplicate
Tlr5fx/fx SPC-Cre + bleomycin Rep S ×3 Tlr5fx/fx SPC-Cre + TLR5-agonist/bleomycin Re… ×3 Tlr5 wildtype + ABX/bleomycin Rep S ×3 Tlr5 wildtype + ABX/TLR5-agonist/bleomycin Re… ×3 Tlr5 wildtype + bleomycin Rep S ×2 Tlr5 wildtype + TLR5-agonist/bleomycin Rep S ×2 Tlr5 wildtype + bleomycin S ×1 Tlr5 wildtype + TLR5-agonist/bleomycin RepS ×1

Supports a between-group comparison across 16 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 16 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.