← BioTransfer GEO Dataset Finder
GEO series

Synthetic DNA co-immunization with vaccine-aligned common consensus nucleoprotein and hemagglutinin protects mice against lethal influenza infection with a single immunization

GSE306862 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2025/12/17 Platform GPL15103
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 samples: 5 conditions, mostly with about 5 replicates eachGroups 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
Synthetic DNA co-immunization with vaccine-aligned common consensus nucleoprotein and hemagglutinin protects mice against lethal influenza infection with a single immunizationFrontiers in immunology · 2025
Summary (written by the submitters)
There is an urgent need for influenza vaccine strategies that enhance protection against influenza virus drift and across different subtypes. The conserved viral nucleoprotein (NP) is the most abundant viral protein during replication, and a target for broadly protective cellular immune responses. Guided by annual WHO-recommended seasonal vaccine strains, we engineered synthetic DNA vaccine candidates encoding vaccine-aligned common consensus (VACC) immunogens designed to represent the immune diversity of seasonal H1N1 and H3N2 virus NP proteins (pVACC-NPH1; pVACC-NPH3).
Read the full summary ↓
Both pVACC-NPH1 and pVACC-NPH3 DNA vaccines induced robust cellular immune responses in mice, including the induction of durable responses. Immunization with a single dose of either DNA vaccine 14 days prior to lethal A/California/2009 H1N1 virus challenge provided protection against mortality. Single dose co-administration of pVACC-NPH3 with an HA-expressing DNA vaccine (pHAH1) and plasmid-encoded adjuvant pIL-12 afforded improved protection against morbidity and mortality in a high-dose challenge model. These data highlight the potential of heterologous cellular immunity induced by engineered NP immunogens to complement HA-based approaches to significantly improve challenge outcomes.
Published in
Synthetic DNA co-immunization with vaccine-aligned common consensus nucleoprotein and hemagglutinin protects mice against lethal influenza infection with a single immunization
Gary EN, Trachtman AR, Wang D et al. · Frontiers in immunology 2025 · PMID 41383614 · doi:10.3389/fimmu.2025.1632121
This dataset
Open GSE306862 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 GSE306862_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 PRJNA1312757 and SRA study SRP614716. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41383614) ↗
Study design
5 conditions, mostly with about 5 replicates each
ctrl ×5 infx ×5 T.Mon ×4 T.HA ×3 T.NP ×3

Supports a between-group comparison across 20 samples.

How we read this: 5 replicated groups read from 20 sample titles; they account for 20 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
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.