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Peyer’s patches are required for Bacteroides fragilis to induce protective systemic IgA

GSE272717 Mus musculus (mouse) RNA-seq (gene expression) 31 samples Submitted 2024/07/25 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 31 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
31 samples: 31 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
Bacteroides fragilis colonization induces protective systemic IgAMicrobiome · 2025
Summary (written by the submitters)
Gut-educated IgA-secreting plasma cells that disseminate beyond the mucosa and into systemic tissues can help prevent disease in several contexts. Here we show, the commensal bacteria Bacteroides fragilis (Bf), is an efficient inducer of systemic IgA responses. The generation of bone marrow IgA plasma cells and high levels of serum IgA specific to Bf requires robust intestinal colonization.
Read the full summary ↓
Bf-specific IgA responses were severely diminished in mice lacking Peyer’s patches, but not mice lacking a cecal patch. Colonization resulted in few changes in the host transcriptional profile in the gut, suggesting a commensal relationship. High levels of Bf-specific serum IgA, but not IgG, provided protection from peritoneal abscess formation in a bowel perforation model of Bf dissemination. These findings demonstrate a critical role for bacterial colonization and Peyer’s patches in the induction of robust systemic IgA responses that confer protection from bacterial dissemination originating from the gut.
Published in
Bacteroides fragilis colonization induces protective systemic IgA
Harris JR, Gubitosi N, Zoccoli-Rodriguez V et al. · Microbiome 2025 · PMID 41466431 · doi:10.1186/s40168-025-02222-7
This dataset
Open GSE272717 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 GSE272717_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 PRJNA1138257 and SRA study SRP521163. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41466431) ↗
Study design
31 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 31 sample titles: 31 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
Datasets on a similar topic

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