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RNA sequencing of nasal lavage samples from mock- and Streptococcus pneumoniae-infected infant mice

GSE324503 Mus musculus (mouse) RNA-seq (gene expression) 73 samples Submitted 2026/03/16 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 73 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
73 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
Immune pathways that regulate neutrophil activation and replenishment prevent persistent pneumococcal colonizationPLoS pathogens · 2026
Summary (written by the submitters)
Nasopharyngeal colonization by Streptococcus pneumoniae (Spn) is common and often asymptomatic, yet prolonged colonization increases the risk of transmission and invasive pneumococcal disease, particularly early in life. Host immune pathways that prevent persistent colonization remain poorly understood. Here, we examined how IL-1R and IL-17RA signaling shape host transcriptional responses during pneumococcal colonization of the upper respiratory tract.
Read the full summary ↓
Using a mouse model of Spn colonization, we performed bulk RNA-sequencing on nasal lavages from mock-treated and Spn-colonized wild-type, Il1r1-/- and Il17ra-/- mice. In wild-type mice, colonization induced robust upregulation of inflammatory and innate immune gene programs, whereas many of these responses were attenuated in Il1r1-/- and Il17ra-/- mice. Taken together, this analysis demonstrates that IL-1R and IL-17RA signaling are required for full activation of host transcriptional responses that limit persistent Spn colonization.
Published in
Immune pathways that regulate neutrophil activation and replenishment prevent persistent pneumococcal colonization
Idowu T, Lokken-Toyli K, Yeung S et al. · PLoS pathogens 2026 · PMID 42085507 · doi:10.1371/journal.ppat.1013899
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 GSE324503_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 PRJNA1435641 and SRA study SRP682796. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 73 more — browse all 73 samples with per-sample file links →

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