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Transcriptional analysis of blood-borne immune cells induced by VSV-based vaccines: A comparison before and after immunization

GSE280660 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2024/11/04 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 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)
Viral vectors are renowned for their inherent adjuvant effects. We here developed cancer vaccines based on the Vesicular Stomatitis Virus (VSV) vector using two different construction strategies.The first vaccine involved the traditional method of inserting tumor antigen genes into the VSV genome (SP vaccine). The second strategy, built upon the first, additionally displayed tumor antigens on the surface of the VSV, creating particulate antigen vaccine (CAD vaccine).
Read the full summary ↓
To compare the early immune responses induced by these two vaccine strategies, we collected blood samples for RNA sequencing analysis at 24 hours post-immunization with both vaccines and a viral vector control group. The results indicated comparable early biological processes, including antiviral and innate immune responses, among the three groups. This confirms that the vector predominantly drives the early innate immune response.
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 GSE280660_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 PRJNA1179920 and SRA study SRP542071. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 18 more — browse all 18 samples with per-sample file links →

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