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Development of an ideal inactivated vaccine for COVID-19 (mouse lung RNA-seq data)

GSE270151 Mus musculus (mouse) RNA-seq (gene expression) 52 samples Submitted 2026/03/31 Platform GPL28330
At a glance

RNA-seq (gene expression) · mouse · 52 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
52 samples: 11 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.
Summary (written by the submitters)
Since the emergence of coronavirus disease 2019 (COVID-19), there has been a continuous threat to human health. Whole particle virus vaccine (WPV) for COVID-19 has been developed because of its potency, safety, and handling easiness, however, it has been recognized that it is difficult to maintain the particle structure. Here, we established the preparation method for intact COVID-19 WPV that retains the virus particle structure, including spike proteins on the surface, by improving the culture condition and purification process.
Read the full summary ↓
The effectiveness of the prepared vaccines, intact and non-intact WPV without surface spike proteins, was examined in a mouse model. A single dose of intact WPV effectively induced humoral immunity compared to non-intact WPV, as indicated by higher titers of neutralization antibodies. Both vaccines significantly induced immune responses to suppress virus replication in the lungs. However, more severe vascular damage with massive immune cell infiltration in the vascular smooth muscle cell layer was observed in the lungs of mice vaccinated with non-intact WPV. These results indicate the importance of the structural integrity of WPV in inducing effective and protective immunity. These findings provide significant insight into the development of COVID-19 WPV for practical use.
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 GSE270151_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 PRJNA1125346 and SRA study SRP514653. Searching any of these in the dataset finder brings you back here.

Study design
11 conditions, mostly with about 5 replicates each
FC-WPV_1μg, 3dpi, ×5 FC-WPV_5μg, 3dpi, ×5 CF-WPV_1μg, 3dpi, ×5 CF-WPV_5μg, 3dpi, ×5 FC-WPV_1μg, 10dpi, ×5 FC-WPV_5μg, 10dpi, ×5 CF-WPV_1μg, 10dpi, ×5 CF-WPV_5μg, 10dpi, ×5 +3 more

Supports a between-group comparison across 52 samples.

How we read this: 11 replicated groups read from 52 sample titles; they account for 52 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

+ 12 more — browse all 52 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.