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RNA-seq analysis of the brain of mice following recombinant HSV-1 carrying the S302A mutation in vUNG and the repaired HSV-1 strain

GSE276253 Mus musculus (mouse) RNA-seq (gene expression) 14 samples Submitted 2025/04/02 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 14 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
14 samples: 4 × B6 Wt infected with vUNG-S302A vs 4 × B6 Wt infected with vUNG-repai vs 4 × A1 delta infected with vUNG-repai vs 2 × A1 delta infected with vUNG-S302AGroups 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
Herpes simplex virus 1 evades APOBEC1-mediated immunity via its uracil-DNA glycosylase in miceNature microbiology · 2025
Summary (written by the submitters)
To investigate the relationship between the host factor APOBEC1 and the viral factor vUNG in the pathogenesis of herpes encephalitis, wild-type and Apobec1-deficient mice were infected with vUNG mutants and their repaired strains. Brain tissues were collected, and host mRNA expression was analyzed using RNA sequencing.
Published in
Herpes simplex virus 1 evades APOBEC1-mediated immunity via its uracil-DNA glycosylase in mice
Kato A, Harima H, Tsunekawa Y et al. · Nature microbiology 2025 · PMID 40461648 · doi:10.1038/s41564-025-02026-3
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 GSE276253_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 PRJNA1156166 and SRA study SRP530274. Searching any of these in the dataset finder brings you back here.

Study design
4 × B6 Wt infected with vUNG-S302A vs 4 × B6 Wt infected with vUNG-repai vs 4 × A1 delta infected with vUNG-repai vs 2 × A1 delta infected with vUNG-S302A

Supports a between-group comparison across 14 samples.

How we read this: 4 replicated groups read from 14 sample titles; they account for 14 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
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