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RNAseq of proximal small intestine scrapings of mice fed a galactose, glucose, or lactose-containing diet during postweaning

GSE255078 Mus musculus (mouse) RNA-seq (gene expression) 39 samples Submitted 2025/12/15 Platform GPL23479
At a glance

RNA-seq (gene expression) · mouse · 39 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
39 samples: 39 × proximal small intestine scrapingGroups 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
Dietary galactose enhances systemic lipid oxidation but decreases intestinal fatty acid oxidation in post-weaning female miceThe Journal of nutritional biochemistry · 2026
Summary (written by the submitters)
Gene expression profiles from mouse intestinal scrapings fed with either a glucose (n=13), galactose (n=13), or lactose-containing diet (n=13) were prepared. The mice were fed the isocaloric intervention diets during the postweaning period (postnatal days PN21-PN42) and sacrificed at PN42 in the fed state. Differential gene expression analysis reveals a clear effect of galactose consumption on metabolic pathways, especially fatty acid metabolism.
Published in
Dietary galactose enhances systemic lipid oxidation but decreases intestinal fatty acid oxidation in post-weaning female mice
Fos-Codoner FS, Keijer J, Bekkenkamp-Grovenstein M et al. · The Journal of nutritional biochemistry 2026 · PMID 41290134 · doi:10.1016/j.jnutbio.2025.110193
This dataset
Open GSE255078 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 GSE255078_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 PRJNA1073481 and SRA study SRP488189. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41290134) ↗
Study design
39 × proximal small intestine scraping

Supports a between-group comparison across 39 samples.

How we read this: 1 replicated groups read from 39 sample titles; they account for 39 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

Search all mouse RNA-seq datasets in GEO →

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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.