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RNA signatures followed by immunization of multiantigenic adenovirus-based vaccine candidate against mycobacterium tuberculosis

GSE264141 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2025/02/12 Platform GPL19057
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: 6 conditions, mostly in triplicateGroups 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
Immunogenicity and protective efficacy of a multi-antigenic adenovirus-based vaccine candidate against Mycobacterium tuberculosisFrontiers in microbiology · 2025
Summary (written by the submitters)
We here report that recombinant multiantigenic adenovirus based vaccine candidate induces immunogenicity and protective effectiveness. RNA-seq transcriptome analysis on whole blood of vaccine canddate vaccinated mice collected pre-, 1 week post-, and 4 weeks postinfection revelaed differentially expressed genes associated with immune and inflammaotry responses, especially belonging to the Wnt signaling pathway. Our results suggest that immunization with vaccine candidate promotes strong boosting effects in BCG-primed mice, presenting itself as a new vaccine candidate.
Published in
Immunogenicity and protective efficacy of a multi-antigenic adenovirus-based vaccine candidate against Mycobacterium tuberculosis
Yun JS, Shin E, Lee YR et al. · Frontiers in microbiology 2025 · PMID 39927262 · doi:10.3389/fmicb.2025.1492268
This dataset
Open GSE264141 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 GSE264141_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 PRJNA1101044 and SRA study SRP502087. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39927262) ↗
Study design
6 conditions, mostly in triplicate
BCG, Prechallenge ×3 BCG/Ad, Prechallenge ×3 BCG, 1w postchallenge ×3 BCG/Ad, 1w postchallenge ×3 BCG, 4w postchallenge ×3 BCG/Ad, 4w postchallenge ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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

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