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EGR proteins mediate interferon-independent anti-HSV-1 responses through viral and host targets

GSE300560 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/12/13 Platform GPL28457
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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
EGR Proteins Mediate Interferon-Independent Anti-HSV-1 Responses Through Viral and Host TargetsAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
Summary (written by the submitters)
Herpes simplex virus type I (HSV-1) establishes a latent infection that evades the host's defense system, and the latent virus can be reactivated by some stimulation. At present,a key problem in the latent studies of HSV-1 has not been clarified, that is, HSV-1 mainly selectively latent in neurons. Therefore, we have found the host transcription factor EGR in Neuro-2a cells by RNA-seq.
Read the full summary ↓
EGR1 regulates HSV-1 replication and latency by binding to the viral genome or recruiting co-factors. Our data intend to find the role and mechanism of EGR family repressing HSV-1 replication and promoting HSV-1 latency. This study will provide a theoretical basis for the development of drugs to treat of HSV-1 infection.
Published in
EGR Proteins Mediate Interferon-Independent Anti-HSV-1 Responses Through Viral and Host Targets
Wang S, Hou F, Jin X et al. · Advanced science (Weinheim, Baden-Wurttemberg, Germany) 2026 · PMID 41486724 · doi:10.1002/advs.202515546
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 GSE300560_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 PRJNA1281182 and SRA study SRP594007. Searching any of these in the dataset finder brings you back here.

Study design
12 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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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