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Gene expression profiling of mouse lung tissue in a bleomycin-induced pulmonary fibrosis model

GSE289939 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2026/04/01 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: 4 × D0-ctrl vs 4 × D7-bleomycin vs 4 × D14-bleomycin vs 3 × D21-bleomycinGroups 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
DOT1L Drives Endothelial-to-Mesenchymal Transition and Fibrotic Vascular Remodeling via H3K79 MethylationAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
Summary (written by the submitters)
This study investigates the gene expression changes in mouse lung tissue over time in a bleomycin-induced pulmonary fibrosis model. Lung tissues were collected at day 0 (baseline), day 7, day 14, and day 21 post-bleomycin treatment to analyze the progression of fibrosis. Total RNA of whole lung tissues was extracted, and transcriptomic profiling was performed to identify key genes and pathways involved in the pulmonary fibrosis development. Our study provides insights into the temporal dynamics of gene expression during the fibrotic process.
Published in
DOT1L Drives Endothelial-to-Mesenchymal Transition and Fibrotic Vascular Remodeling via H3K79 Methylation
Wang Y, Peng X, Chen J et al. · Advanced science (Weinheim, Baden-Wurttemberg, Germany) 2026 · PMID 41933932 · doi:10.1002/advs.202515581
This dataset
Open GSE289939 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 GSE289939_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 PRJNA1225605 and SRA study SRP564920. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41933932) ↗
Study design
4 × D0-ctrl vs 4 × D7-bleomycin vs 4 × D14-bleomycin vs 3 × D21-bleomycin

Supports a between-group comparison across 15 samples.

How we read this: 4 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

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.