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Pulmonary fibroblast subsets demonstrate differentially enriched signaling pathways during fibrosis resolution and repair

GSE307419 Mus musculus (mouse) RNA-seq (gene expression) 26 samples Submitted 2026/04/09 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 26 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
26 samples: 7 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
Pulmonary fibroblast subsets demonstrate differentially enriched signaling pathways during fibrosis resolution and repairJCI insight · 2026
Summary (written by the submitters)
The lungs have a remarkable capacity to undergo homoeostatic repair and regeneration after injury, which often occurs in patients with acute respiratory distress syndrome (ARDS) and in the single-dose bleomycin mouse model. Fibroblasts are critical mediators of fibrotic disease and RNA sequencing has identified significant heterogeneity within pulmonary fibroblast populations.
Read the full summary ↓
However, the contribution of distinct fibroblast subsets to the repair process has been understudied compared to their role in fibrosis initiation and progression. Therefore, we sought to define the transcriptional landscape of three phenotypically-defined fibroblast subsets that occupy discrete spatial locations in naïve lungs. Using TdTomato-lineage tracing approaches, we identified and interrogated collagen1a1+ (Col1a1) fibroblasts, perilipin 2+ (Plin2) alveolar fibroblasts, and -smooth muscle actin+ (Acta2) myofibroblasts during fibrosis development and resolution after single-dose bleomycin. Quantification of fibroblast numbers showed that all three subsets expand during fibrosis and contract towards naïve levels with resolution. Principal component and gene-set enrichment analyses indicated that each subset undergoes major transcriptomic shifts during fibrosis development, converging on a similar pro-fibrotic transcriptional profile. However, during resolution, Plin2+ and Acta2+ fibroblasts revert towards a pre-fibrotic transcriptional state, whereas Col1a1+ fibroblasts acquire a distinct program that suggests suggesting an active role in mediating the repair processes.
Published in
Pulmonary fibroblast subsets demonstrate differentially enriched signaling pathways during fibrosis resolution and repair
Foster DG, Javkhlan N, Black BP et al. · JCI insight 2026 · PMID 42084917 · doi:10.1172/jci.insight.199660
This dataset
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.

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 GSE307419_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1321592 and SRA study SRP618237. Searching any of these in the dataset finder brings you back here.

Study design
7 conditions, mostly in triplicate
Col1-Sal ×3 Col1-Bleo 3wk ×3 aSMA-Bleo 3wk ×3 Plin2-Bleo 3wk ×3 Col1-Bleo 8wk ×3 aSMA-Bleo 8wk ×3 Plin2-Bleo 8wk ×2 aSMA-Sal1 ×1 +5 more

Supports a between-group comparison across 20 samples.

How we read this: 7 replicated groups read from 26 sample titles; they account for 20 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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