← BioTransfer GEO Dataset Finder
GEO series

Antigen-Specific mRNA–LNP Vaccination with mTOR Inhibition Promotes Treg Cells and Limits Allergy

GSE325304 Mus musculus (mouse) RNA-seq (gene expression) 2 samples Submitted 2026/05/20 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 2 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
2 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.
Summary (written by the submitters)
Immune tolerance to T helper 2 (Th2)-mediated allergic reactions relies largely on antigen-specific T helper 1 (Th1) and regulatory T cells, which modulate downstream immune responses upon antigen exposure and mitigate allergic diseases. While allergen-encoded mRNA-lipid nanoparticle (mRNA-LNP) vaccine elicits Th1 and cytotoxic CD8+ T responses that counterbalance Th2 immunity, co-administration of mRNA-LNP with an mTOR inhibitor shifts this profile by promoting generation of functional regulatory T cells and partially attenuating Th1 and CD8+ T cell responses.
Read the full summary ↓
In pre-clinical models of allergic asthma, this combinatorial strategy preserved the anti-allergic effects of mRNA-LNP immunization, reduced eosinophil activation markers, and limited vaccine-associated cytotoxicity. The ability of an mTOR inhibitor to profoundly modify mRNA-LNP vaccination by inducing regulatory T cells presents a potential strategy to enhance regulatory immunity in the treatment of allergy and other inflammatory diseases.
This dataset
Open GSE325304 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 GSE325304_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 PRJNA1439414. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 2 more — browse all 2 samples with per-sample file links →

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.