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Respiratory syncytial virus infection induces heterologous protection against SARS-CoV-2 via induction of trained immunity and SARS-CoV-2 reactive mucosal T cells

GSE300910 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2026/02/09 Platform GPL34475
At a glance

RNA-seq (gene expression) · mouse · 15 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
15 samples: 4 × Mock vs 4 × RSV vs 4 × RSV/SARS-CoV2 vs 3 × Mock/ SARS-CoV2Groups 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
Respiratory syncytial virus infection induces heterologous protection against SARS-CoV-2 through γδ T cell-mediated trained immunity and the activation of SARS-CoV-2-reactive mucosal T cellsJournal of virology · 2026
Summary (written by the submitters)
The respiratory viruses can concurrently or sequentially infect a host and influence the trajectory of each other. The underlying immune mechanisms are not well understood. Here, we investigated whether respiratory syncytial virus (RSV) infection affects host vulnerability to subsequent SARS-CoV-2 infection in both BALB/c and the K18 hACE-2 transgenic mouse models.
Read the full summary ↓
We found that RSV infection- induced heterologous protection against subsequent SARS-CoV-2 infection was dose and time dependent. RNA-seq and immunological analyses revealed that RSV infection triggered antigen presenting cell (APC)s and SARS-CoV-2 reactive mucosal T cell activation in the lung at day 9, which declined at 1 month. RSV infection induced the expansion and the upregulation of cellular metabolic pathways of gd T cells. Furthermore, RSV infection in TCRd-/- mice, which are deficient of gd T cells triggered a lower SARS-CoV-2 reactive mucosal T cell response. Following SARS-CoV-2 infection, TCRd-/- mice with prior RSV infection had increased viral loads and higher levels of virus-induced inflammatory responses in the lung compared to the WT group. In summary, our results suggest that RSV infection provides heterologous protection against subsequent SARS-CoV-2 infection via induction gd T cell- mediated trained immunity in the lung and SARS-CoV-2 reactive mucosal T cell responses.
Published in
Respiratory syncytial virus infection induces heterologous protection against SARS-CoV-2 through γδ T cell-mediated trained immunity and the activation of SARS-CoV-2-reactive mucosal T cells
Adam A, Wu W, Jones MC et al. · Journal of virology 2026 · PMID 41848341 · doi:10.1128/jvi.01658-25
This dataset
Open GSE300910 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 GSE300910_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 PRJNA1282658 and SRA study SRP594893. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41848341) ↗
Study design
4 × Mock vs 4 × RSV vs 4 × RSV/SARS-CoV2 vs 3 × Mock/ SARS-CoV2

Supports a between-group comparison across 15 samples.

How we read this: 4 replicated groups read from 15 sample titles; they account for 15 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
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