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Baseline interferon signaling in monocytes and antibody-mediated innate activation at injection site shape mRNA vaccine reactogenicity

GSE332761 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2026/05/26 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 4 × Blood monocytes, 6 hours post dose 1, mouse ID MOD vs 4 × Blood monocytes, 6 hours post dose 2, mouse ID MOD vs 4 × dLN monocytes, 6 hours post dose 1, mouse ID MOD vs 4 × dLN monocytes, 6 hours post dose 2, mouse ID MODGroups 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 local and systemic symptoms that follow vaccination -collectively referred to as reactogenicity- are common, yet the mechanisms underlying individual variability remain poorly understood. Through longitudinal immune profiling of vaccinated individuals and mechanistic studies in mice, we identified key immunological determinants of reactogenicity induced by mRNA vaccines.
Read the full summary ↓
Systemic adverse events were associated with stronger interferon and pro-inflammatory responses following the second dose of COVID-19 vaccine, which were also correlated with the magnitude of the antigen-specific adaptive responses. This heightened inflammation occurred within 24 hours of vaccination and originated primarily from the injection site and was characterized by enhanced recruitment and activation of myeloid cells, particularly monocytes. Two mechanisms contributed to this response: (1) early interferon production by muscle T cells generated after the first dose and (2) FcγR-dependent chemokine induction by antigen-specific antibodies. Consistently, serum antibody levels prior to vaccination correlated positively with reactogenicity. In addition to this local amplification mechanism, variability in reactogenicity was influenced by the baseline immune state, as individuals with a pre-existing interferon-stimulated gene signature in monocytes, detectable at both transcriptomic and epigenetic levels, were more prone to systemic symptoms. Our findings reveal molecular and cellular mechanisms driving vaccine reactogenicity, providing a framework for the design of less reactogenic vaccines.
This dataset
Open GSE332761 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 GSE332761_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 PRJNA1469046 and SRA study SRP702642. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
4 × Blood monocytes, 6 hours post dose 1, mouse ID MOD vs 4 × Blood monocytes, 6 hours post dose 2, mouse ID MOD vs 4 × dLN monocytes, 6 hours post dose 1, mouse ID MOD vs 4 × dLN monocytes, 6 hours post dose 2, mouse ID MOD

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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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