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M2 Macrophage-Derived Exosomes Ameliorate BPD by Inhibiting Ferroptosis via Suppression of the ZAKα-p38 Signaling Pathway

GSE322753 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/03/04 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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
M2 Macrophage-Derived Exosomes Ameliorate BPD by Inhibiting Ferroptosis via Suppression of the ZAKα-p38 Signaling PathwayAntioxidants (Basel, Switzerland) · 2026
Summary (written by the submitters)
Background: Bronchopulmonary dysplasia (BPD) is a common lung disease in premature infants. Hyperoxia-induced oxidative stress and ferroptosis are key pathological mech-anisms leading to alveolar epithelial (AT) cell injury and impaired alveolar development. M2 macrophage-derived exosomes (M2-Exo), as intercellular communication carriers, have potential protective effects in regulating oxidative stress-related diseases, but the molecular mechanism by which they exert effects by regulating ferroptosis in BPD re-mains unclear.
Read the full summary ↓
Objective: To explore the protective effect of M2-Exo on hyperoxia or inflammation-induced BPD models and clarify its antioxidant mechanism. Method: In vitro AT cell injury models and in vivo BPD models were constructed by hyperoxia or LPS induction. M2-Exo were isolated, identified, and used to intervene in models. Oxidative stress and ferroptosis-related indicators (ROS, MDA, iron accumulation, GPX4), AT cell functional markers (AQP5, SPC), and ZAKα-p38 pathway activation contents were de-tected. ZAKα overexpression was used to verify pathway dependence. Results: M2-Exo intervention significantly enhanced AT cell viability, upregulated the expression of AQP5 and SPC, and reversed alveolar simplification. Concurrently, it effectively sup-pressed hyperoxia or LPS-induced oxidative stress and ferroptosis, as evidenced by re-duced contents of ROS and MDA, diminished iron accumulation, and GPX4 expression. Mechanistically, M2-Exo significantly inhibited the activation of the ZAKα-p38 pathway, and ZAKα overexpression could antagonize the antioxidant, anti-ferroptotic, and AT cell protective effects of M2-Exo. Conclusions: M2-Exo alleviate AT cell oxidative stress and ferroptosis by inhibiting the ZAKα-p38 pathway, thereby improving hyperoxia or in-flammation-induced BPD and providing a new strategy and molecular target for the antioxidant treatment of BPD.
Published in
M2 Macrophage-Derived Exosomes Ameliorate BPD by Inhibiting Ferroptosis via Suppression of the ZAKα-p38 Signaling Pathway
Pu Y, Lv M, Yan R et al. · Antioxidants (Basel, Switzerland) 2026 · PMID 41897472 · doi:10.3390/antiox15030326
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 GSE322753_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 PRJNA1431416 and SRA study SRP680666. Searching any of these in the dataset finder brings you back here.

Study design
12 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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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