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Bacteroides intestinalis–Driven Arabinoxylan Fermentation Mitigates Inflammatory and Metabolic Dysfunction

GSE318341 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2026/03/12 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 6 conditions, mostly in triplicateGroups 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 intestinalis-Driven Arabinoxylan Fermentation Mitigates Inflammatory and Metabolic DysfunctionbioRxiv : the preprint server for biology · 2026
Summary (written by the submitters)
Insufficient dietary fiber intake is strongly associated with gut microbiome dysfunction and an increased risk of noncommunicable diseases. Synergistic synbiotics, which pair defined microbial strains with their preferred carbohydrate substrates, offer a promising strategy to restore these functions. However, the rational design of such interventions remains challenging by insufficient understanding of microbial fiber-degrading capacities and the host-relevant bioactivities of fermentation-derived metabolites.
Read the full summary ↓
Here, we identify human colonic commensal Bacteroides intestinalis (B. intestinalis) as a key microbial mediator of dietary fiber-driven metabolic, immune, and neuronal benefits. We demonstrate that the synergistic interaction between B. intestinalis and its preferred substrate, insoluble wheat arabinoxylan abundant in dietary fiber, enhances the production of anti-inflammatory, antioxidant, and anti-diabetic phenolic compounds and bile acid species. These metabolic effects are accompanied by coordinated transcriptional remodeling in the colon and spleen that improve circadian rhythm regulation, lipid metabolism, and immune defense. Importantly, these beneficial effects are preserved in conventionally raised mice with established high fat diet-induced obesity, where BI and inWAX improves glucose tolerance along with an increased production of neuroactive compounds. Our findings uncover a mechanistic framework linking B. intestinalis-mediated fiber fermentation to gut–liver–brain crosstalk and establish a rational foundation for precision synbiotic design.
Published in
Bacteroides intestinalis-Driven Arabinoxylan Fermentation Mitigates Inflammatory and Metabolic Dysfunction
Zhou Z, Nguyen KL, Chen S et al. · bioRxiv : the preprint server for biology 2026 · PMID 41659521 · doi:10.64898/2026.01.28.702158
This dataset
Open GSE318341 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 GSE318341_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 PRJNA1418598 and SRA study SRP674548. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41659521) ↗
Study design
6 conditions, mostly in triplicate
DSS_cellulose_Spleen ×3 DSS_Inwax_Spleen ×3 Water_cellulose_DC ×3 Water_Inwax_DC ×3 DSS_cellulose_MC ×3 DSS_Inwax_MC ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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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