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Commensal-derived acetylcholine enhances mucosal immune education [mouse_lamina_propria_bulk_RNA-seq]

GSE326266 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2026/05/29 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 4 × colon lamina propria immune cells, Δchat B.breve-colonized, vs 4 × ileum lamina propria immune cells, Δchat B.breve-colonized, vs 4 × colon lamina propria immune cells, WT B.breve-colonized, vs 4 × ileum lamina propria immune cells, WT B.breve-colonized,Groups 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)
The microbiota produces thousands of potentially bioactive small molecules1-3. High-throughput bioactivity screens of in vitro commensal cultures have exposed microbiota metabolites that shape host physiology by activating diverse G protein-coupled receptors (GPCR). However, due to technical limitations, the GPCRome-wide bioactivities of in vivo metabolomes, which result from complex diet-microbe-host interactions, remain unexplored.
Read the full summary ↓
Here we leveraged a novel multiplexed GPCR screening technology to assess GPCRome-wide bioactivities of 100 commensal strains grown in vivo in mono-associated germ-free mice or in vitro in bacterial culture media. In vivo and in vitro commensal metabolomes exhibited distinct GPCR activation patterns due to: 1) host-mediated metabolite degradation, 2) in vivo microbial metabolic reprogramming, and 3) biotransformation of dietary substrates. Notably, we identified multiple commensal strains that produced acetylcholine (ACh) in vivo via the conversion of dietary choline, including select Bifidobacteria strains that dominate the microbiome in early life and a probiotic Pediococcus strain. Mechanistically, we identified and characterized the bacterial enzymes mediating this biotransformation in Bifidobacterium breve and Pediococcus pentosaceus, and generated an isogenic mutant B. breve strain lacking ACh production. Mice colonized with an ACh-producing B. breve strain and treated with an FDA-approved acetylcholinesterase inhibitor exhibited enhanced intestinal immunoglobulin A (IgA) production, altered microbiota composition, and increased resistance to enteric infection. Together, these findings suggest that commensal-derived ACh can enhance intestinal IgA production, strengthen mucosal immune defenses, and reinforce host-microbiota mutualism.
This dataset
Open GSE326266 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 GSE326266_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 PRJNA1445038 and SRA study SRP687642. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
4 × colon lamina propria immune cells, Δchat B.breve-colonized, vs 4 × ileum lamina propria immune cells, Δchat B.breve-colonized, vs 4 × colon lamina propria immune cells, WT B.breve-colonized, vs 4 × ileum lamina propria immune cells, WT B.breve-colonized,

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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
Datasets on a similar topic

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