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Rothia mucilaginosa Alleviates Constipation through Gut Microbiota Remodeling and Neuroactive Pathway Activation

GSE319612 Mus musculus (mouse) RNA-seq (gene expression) 26 samples Submitted 2026/04/27 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 26 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
26 samples: 10 × Colon tissue, loperamide-induced constipation + Rothia mucilaginosa gavage, biol vs 8 × Colon tissue, normal control, biol vs 8 × Colon tissue, loperamide-induced constipation model control, biolGroups 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)
Constipation affects approximately 15% of the global population, and gut microbiota dysbiosis is implicated in its pathogenesis. Rothia mucilaginosa, a commensal bacterium with established anti-inflammatory properties, has not been previously investigated for its effects on intestinal function. In this study, we evaluated the therapeutic potential of R.
Read the full summary ↓
mucilaginosa in a loperamide-induced constipation mouse model using multiomics approaches. Twenty-six SPF male C57BL/6 mice were divided into normal control (NC, n=8), constipation model control (MC, n=8), and R. mucilaginosa-treated (RG, n=10) groups. R. mucilaginosa intervention significantly improved fecal output and induced gut microbiota remodeling, including enrichment of Akkermansia muciniphila and Alistipes finegoldii. To characterize host molecular responses, RNA-seq was performed on colon tissues to identify differentially expressed genes and pathways associated with constipation alleviation, with particular focus on neuroactive pathway activation.
This dataset
Open GSE319612 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 GSE319612_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 PRJNA1424723 and SRA study SRP677625. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
10 × Colon tissue, loperamide-induced constipation + Rothia mucilaginosa gavage, biol vs 8 × Colon tissue, normal control, biol vs 8 × Colon tissue, loperamide-induced constipation model control, biol

Supports a case/control comparison: 10 samples read as cases, 8 as controls.

How we read this: 3 replicated groups read from 26 sample titles; they account for 26 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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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.