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Remote ischemic conditioning mitigates diesel exhaust-induced pulmonary fibrosis by alleviating pulmonary inflammation and fibrogenesis

GSE337095 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2026/07/05 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: 8 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.
Summary (written by the submitters)
Remote ischemic conditioning (RIC), a promising non-pharmacological strategy, mitigates ischemia-reperfusion injury in multiple conditions. However, its potential as a therapeutic strategy in pulmonary fibrosis (PF), which is associated with poor survival outcomes and limited pharmacotherapies, remains unexplored. Thus, the present study aimed to explore the therapeutic utility of RIC in a diesel exhaust-induced mouse model recapitulating PF pathology.
Read the full summary ↓
The effects of RIC were comprehensively assessed by measuring physiological and molecular endpoints, including weight, heart rate variability (HRV), lung histopathology, circulating plasma biomarkers, bronchoalveolar lavage fluid cytokine profiles, and indices of pulmonary mitochondrial health, accompanied by bulk transcriptome sequencing of lung tissue of age-matched mice allocated to nine study groups. DE-induced PF groups receiving RIC showed marked improvements in weight, HRV, and lung mitochondrial function, substantial attenuation of histopathological damage, and significant decreases in inflammatory and fibrotic markers, indicating the potential of RIC to mitigate DE-induced fibrotic damage. Transcriptome analysis of lung tissue further supported these observations by revealing downregulation of PF markers in RIC-receiving groups, highlighting RIC's efficacy in attenuating PF features. Additionally, potential PF-relevant markers, including Calhm6, Hrc, Dnase1l3, Pla2g2d, Stab2 and Timd4, were identified across these groups that may be linked to therapeutic benefits conferred by RIC.
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 GSE337095_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 PRJNA1484043 and SRA study SRP713891. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
Control ×3 RIC ×3 DE ×3 DE+PFD ×3 RIC+DE ×3 DE+RIC ×3 RIC+DE+PFD ×3 DE+PFD+RIC ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 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
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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.