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Salmonella infection accelerates potential maturation of the intestinal epithelium

GSE278410 Mus musculus (mouse) RNA-seq (gene expression) 32 samples Submitted 2024/12/17 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 32 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
32 samples
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
Salmonella infection accelerates postnatal maturation of the intestinal epitheliumProceedings of the National Academy of Sciences of the United States of America · 2025
Summary (written by the submitters)
Postnatal establishment of enteric metabolic, host-microbial and immune homeostasis is the result of precisely timed and tightly regulated developmental and adaptive processes. Here, we show that infection with the invasive enteropathogen Salmonella Typhimurium results in a Myd88-dependent accelerated maturation of the neonatal epithelium with premature appearance of antimicrobial, metabolic, developmental, and regenerative features of the adult tissue.
Published in
Salmonella infection accelerates postnatal maturation of the intestinal epithelium
Schlößer S, Ullrich AL, Modares NF et al. · Proceedings of the National Academy of Sciences of the United States of America 2025 · PMID 39793046 · doi:10.1073/pnas.2403344122
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 GSE278410_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 PRJNA1167207 and SRA study SRP535720. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 32 more — browse all 32 samples with per-sample file links →

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