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Tissue RNAsSeq of germ-free IL10KO versus WT mice in the presence or absence of human gut microbes

GSE253945 Mus musculus (mouse) RNA-seq (gene expression) 108 samples Submitted 2025/04/29 Platform GPL21626
At a glance

RNA-seq (gene expression) · mouse · 108 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
108 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
IL-10 sensing by lung interstitial macrophages prevents bacterial dysbiosis-driven pulmonary inflammation and maintains immune homeostasisImmunity · 2025
Summary (written by the submitters)
IL10 plays a crucial role in regulating immune responses. Although IL10 deficiency induces spontaneous gut inflammation in a commensal-dependent manner, the importance of IL10 signaling in peripheral tissues other than gut remains poorly understood. To determine how peripheral tissues are transcriptionally responded to the commensal-induced IL10 signaling, we performed bulk RNA-seq on the gut, lungs, mesenteric lymph nodes, and kidneys of human fecal microbiota-transplanted (huFMT) IL10 KO, huFMT WT, untreated germ-free (GF) IL10 KO, and untreated GF WT mice.
Published in
IL-10 sensing by lung interstitial macrophages prevents bacterial dysbiosis-driven pulmonary inflammation and maintains immune homeostasis
Kim SH, White Z, Gainullina A et al. · Immunity 2025 · PMID 40306274 · doi:10.1016/j.immuni.2025.04.004
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 GSE253945_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 PRJNA1067732 and SRA study SRP485303. Searching any of these in the dataset finder brings you back here.

Samples in this study

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