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LACTIPLANTIBACILLUS PLANTARUM STRENGTHENS THE INTESTINAL BARRIER: INVOLVEMENT OF THE ENDOCANNABINOIDOME

GSE263720 Mus musculus (mouse) RNA-seq (gene expression) 21 samples Submitted 2025/01/31 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 21 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
21 samples: 21 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
Lactiplantibacillus plantarum strengthens the intestinal barrier: involvement of the endocannabinoidomeAmerican journal of physiology. Gastrointestinal and liver physiology · 2025
Summary (written by the submitters)
Probiotics have been suggested to ameliorate the function of the intestinal epithelial barrier and so have several mediators and receptors of the expanded endocannabinoid system, the endocannabinoidome (eCBome). Here we cocultured three live strains of Lactiplantibacillus plantarum with intestinal epithelial organoids to study their effects on the gut barrier function and the possible involvement of the eCBome in this effect.
Read the full summary ↓
All three L.plantarum strains variously reduced the trans-epithelial permeability of intestinal organoids and promoted increased mRNA expression of several tight junction proteins and intestinal barrier proteins. Concomitantly, the three strains upregulated the expression of genes encoding biosynthetic enzymes (i.e., NapePLD, Abdh4, Gde1, Daglb) and receptors (i.e., Cnr1, Cnr2, Gpr55, and Ppara), while concurrently downregulating the expression of two essential catabolic enzymes (i.e. Faah and Naaa), involved in the signaling of several eCBome mediators known for their role in regulating the intestinal epithelial barrier. Selective inhibitors of eCBome mediator degrading enzymes FAAH and MAGL, i.e., URB597 and JZL184, increased N-acyl-ethanolamine (NAE) and 2-monoacylglycerol (2-MAG) levels, respectively, enhanced the expression of intestinal epithelial barrier genes and reduced the trans-epithelial permeability of organoids, as for L. plantarum strains. Interestingly, inflammation-induced trans-epithelial permeability in organoids was also reversed by both FAAH and MAGL inhibitors. We surmise that elevated endogenous levels of either NAEs or 2-MAGs promote improvement in small intestine trans-epithelial permeability and that L. plantarum strains may exploit this mechanism to promote these beneficial effects.
Published in
Lactiplantibacillus plantarum strengthens the intestinal barrier: involvement of the endocannabinoidome
Allam-Ndoul B, Pulido-Mateos EC, Bégin F et al. · American journal of physiology. Gastrointestinal and liver physiology 2025 · PMID 40522902 · doi:10.1152/ajpgi.00142.2024
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 GSE263720_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 PRJNA1098776 and SRA study SRP500841. Searching any of these in the dataset finder brings you back here.

Study design
21 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 21 sample titles: 21 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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