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Type I IFN Dynamics Orchestrate Protective ICAM1⁺ Neutrophil Heterogeneity as an Early Checkpoint for Survival in Lethal Viral Infection [RNA-Seq]

GSE313732 Mus musculus (mouse) RNA-seq (gene expression) 78 samples Submitted 2026/06/29 Platform GPL30172Platform GPL34871
At a glance

RNA-seq (gene expression) · mouse · 78 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
78 samples: 42 × day1died vs 36 × day1survivedGroups 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.
Summary (written by the submitters)
The early host response influences outcomes following viral infection. Here, we leveraged variability in survival after intranasal vesicular stomatitis virus (VSV) challenge in genetically identical mice to retrospectively profile systemic immune responses associated with survival or lethality. Survival was strongly associated with a robust systemic type I interferon (IFN) surge within 24 hours of infection, and blockade of type I IFN signaling during this narrow early window markedly reduced survival, establishing early IFN induction as a key determinant of outcome.
Read the full summary ↓
This protective IFN surge rapidly remodeled the systemic immune landscape, inducing a specialized ICAM1⁺ neutrophil subset, primed within the bone marrow and characterized by a pro-inflammatory signature and enhanced phagocytic activity. Importantly, neutrophil-specific deletion of ICAM1 significantly reduced survival following viral infection. Together, these findings identify an early type I IFN-dependent checkpoint that shapes protective ICAM1+ neutrophil heterogeneity and disease trajectories, with implications for prognostic strategies and host-directed therapies.
This dataset
Open GSE313732 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 GSE313732_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 PRJNA1381502 and SRA study SRP655214. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
42 × day1died vs 36 × day1survived

Supports a between-group comparison across 78 samples.

How we read this: 2 replicated groups read from 78 sample titles; they account for 78 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

+ 38 more — browse all 78 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.