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Bulk RNAseq profiling of Streptococcus pneumoniae EF3030 and Influenza A virus (A/California/07/2009(H1N1)) mono/coinfection in the mouse lungs.

GSE294560 Mus musculus (mouse) RNA-seq (gene expression) 60 samples Submitted 2025/10/31 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 60 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
60 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
Multispecies transcriptomics reveals influenza A virus modulation of Streptococcus pneumoniae EF3030 infection in human lung epithelium and murine lungmSphere · 2026
Summary (written by the submitters)
To investigate the host-pathogen interactions of Streptococcus pneumoniae EF3030 (NZ_CP035897) and Influenza A virus (A/California/07/2009(H1N1)) in the mouse lung. We generated monoinfections and coinfections of C57BL/6 mice, as well as mock infection controls, and harvested whole mouse lung homogenates.
Published in
Multispecies transcriptomics reveals influenza A virus modulation of Streptococcus pneumoniae EF3030 infection in human lung epithelium and murine lung
D'Mello A, Earnhardt EY, Lane JR et al. · mSphere 2026 · PMID 41586609 · doi:10.1128/msphere.00815-25
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 GSE294560_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 PRJNA1250496 and SRA study SRP578556. Searching any of these in the dataset finder brings you back here.

Samples in this study

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