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Bacterial skin infection imprints bone marrow eosinophils to promote allergic skin-lung crosstalk [Quant_seq]

GSE286908 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2025/01/23 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
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
Eosinophil innate immune memory after bacterial skin infection promotes allergic lung inflammationScience immunology · 2025
Summary (written by the submitters)
Microbial exposure at barrier interfaces drives development and balance of the immune system but the consequences of local infections for systemic immunity and secondary inflammation are unclear. Here, we show that epicutaneous exposure to the bacterium Staphylococcus aureus persistently shapes the immune system of mice with specific impact on progenitor and mature bone marrow neutrophil and eosinophil populations.
Read the full summary ↓
The infection-imposed changes in eosinophils were long-lasting and associated with functional as well as imprinted epigenetic and metabolic changes. Bacterial exposure enhanced skin allergic sensitization and resulted in exacerbated allergen-induced lung inflammation. S. aureus-mediated functional bone marrow eosinophil reprogramming and pulmonary allergen responses were driven by the alarmin interleukin 33 and the complement cleavage fragment C5a. Our study highlights the systemic impact of skin inflammation and reveals eosinophil progenitor training and organ-crosstalk mechanisms that modulate systemic responses to allergens.
Published in
Eosinophil innate immune memory after bacterial skin infection promotes allergic lung inflammation
Radhouani M, Farhat A, Hakobyan A et al. · Science immunology 2025 · PMID 40184438 · doi:10.1126/sciimmunol.adp6231
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 GSE286908_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 PRJNA1210527 and SRA study SRP557238. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 24 more — browse all 24 samples with per-sample file links →

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