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Role of IL10 signaling in the circadian control of host response to Influenza infection

GSE287759 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2025/01/29 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 samples: 7 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
Role of IL-10 signaling in the circadian control of host response to influenza infectionMucosal immunology · 2026
Summary (written by the submitters)
The circadian clock confers a time-of-day specific protection against influenza A Virus (IAV) infection by regulating the host response and limiting immunopathology. IL10 is a cytokine with significant immunoregulatory functions; however, the role of IL10 in IAV is unclear, with reports of both benefit and harm from its blockade early during the infection. Since the expression of IL10R shows diurnal rhythmicity in the lungs, we tested if IL10 signaling contributes to time-of-day specific protection against IAV.
Published in
Role of IL-10 signaling in the circadian control of host response to influenza infection
Forrest KM, Towers ME, Paul O et al. · Mucosal immunology 2026 · PMID 41274514 · doi:10.1016/j.mucimm.2025.11.010
This dataset
Open GSE287759 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 GSE287759_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 PRJNA1214413 and SRA study SRP559265. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41274514) ↗
Study design
7 conditions, mostly in triplicate
ZT23IgG.female ×3 ZT23Ab.male ×3 ZT23Ab.female ×3 ZT11Ab.male ×3 ZT11Ab.female ×3 ZT11IgG.male ×2 ZT11IgG.female ×2 ZT23IgG.male ×1

Supports a between-group comparison across 19 samples.

How we read this: 7 replicated groups read from 20 sample titles; they account for 19 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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