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Multiomics analysis unveils key biomarkers during dynamic progress of IAV infection in mice

GSE292329 Mus musculus (mouse) RNA-seq (gene expression) 48 samples Submitted 2025/05/08 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 48 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
48 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
Multiomics analysis unveils key biomarkers during dynamic progress of IAV infection in miceFrontiers in immunology · 2025
Summary (written by the submitters)
Murine IAV infection models are vital for influenza research, but biomarker progression during the disease is unclear. This study aims to help improve disease surveillance and treatment outcome assessment by understanding viral infection dynamics and biological shifts from mild to severe symptoms in mouse models. The physiological parameters, viral load, inflammatory responses, and histopathological changes were evaluated in Balb/c mice infected with IAV over 14 days period.
Read the full summary ↓
Intervention within 6 days after influenza virus infection is crucial to prevent severe illness. Using DIABLO multi-omics analysis, we analyzed transcriptomic and metabolomic data from mouse lung tissues and serum metabolomic data at 4, 6, 8, and 10 days post-infection. Several key biomarkers like Ccl8, Pdcd1, Gzmk, Kynurenine, L-Glutamine were identified during influenza infection. The serum-based influenza progression scoring system developed in this study provides precise treatment strategies and personalized plans for clinical management. This scoring system detects when the levels of L-Glutamine, adipoyl-carnitine, triacetic acid lactone, and isopropanol in the serum exceed 2.5 times the normal range, indicating that the patient is in the influenza infection phase (days 4-6). Intervening during this phase can effectively prevent the condition from deteriorating into a critical stage.
Published in
Multiomics analysis unveils key biomarkers during dynamic progress of IAV infection in mice
Lei H, Xu Y, Zhang H et al. · Frontiers in immunology 2025 · PMID 40475788 · doi:10.3389/fimmu.2025.1566690
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 GSE292329_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 PRJNA1238087 and SRA study SRP571482. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 48 more — browse all 48 samples with per-sample file links →

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