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Distinct lung functional, histological and cell senescence signatures in the single vs repetitive bleomycin mouse model of idiopathic pulmonary fibrosis

GSE301216 Mus musculus (mouse) RNA-seq (gene expression) 53 samples Submitted 2025/09/22 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 53 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
53 samples: 20 × Lung, CTRL Vehicle, vs 14 × Lung, Single dose BLEO-IPF Vehicle, vs 10 × Lung, Repetitive BLEO-IPF Vehicle, vs 9 × Lung, Repetitive BLEO-IPF Baseline,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.
Paper
Distinct lung functional, histological and cell senescence signatures in the single and repetitive bleomycin mouse models of idiopathic pulmonary fibrosisPhysiological reports · 2025
Summary (written by the submitters)
To address the gap between acute bleomycin-induced fibrosis in mice and the chronic nature of human IPF, we performed RNA-seq on lung tissue from single-dose and repetitive bleomycin models of idiopathic pulmonary fibrosis (BLEO-IPF). We find that the repetitive BLEO-IPF model recapitulates the key features of progressive fibrosis and senescence, offering a relevant pre-clinical platform for studying chronic IPF pathology and evaluating anti-fibrotic interventions.
Published in
Distinct lung functional, histological and cell senescence signatures in the single and repetitive bleomycin mouse models of idiopathic pulmonary fibrosis
Bousamaki J, Rørbeck EA, Petersen AG et al. · Physiological reports 2025 · PMID 40985117 · doi:10.14814/phy2.70560
This dataset
Open GSE301216 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 GSE301216_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 PRJNA1284291 and SRA study SRP596137. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40985117) ↗
Study design
20 × Lung, CTRL Vehicle, vs 14 × Lung, Single dose BLEO-IPF Vehicle, vs 10 × Lung, Repetitive BLEO-IPF Vehicle, vs 9 × Lung, Repetitive BLEO-IPF Baseline,

Supports a between-group comparison across 53 samples.

How we read this: 4 replicated groups read from 53 sample titles; they account for 53 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

+ 13 more — browse all 53 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.