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Herpes simplex virus type 1 reshapes the host chromatin architecture via transcription machinery hijacking [RNA-seq]

GSE237079 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/05/12 Platform GPL23227
At a glance

RNA-seq (gene expression) · human · 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
Homo sapiens (human)
Samples
12 samples: 3 × Human_A549, non infected, vs 3 × Human_A549, 1 hour post infection, vs 3 × Human_A549, 3 hours post infection, vs 3 × Human_A549, 8 hours post infection,Groups 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 type 1 reshapes host chromatin architecture via transcription machinery hijackingNature communications · 2025
Summary (written by the submitters)
To discover the mechanism by which herpes simplex virus type 1 (HSV-1) drastically reshapes the host cell transcriptional patterns during infection, we performed RNAseq. We infected A549 cells with HSV-1, and analized host and viral expression at 1, 3 and 8 hours post infection. We report both a drastical human transcription shutoff parallel with an increase in viral transcription.
Published in
Herpes simplex virus type 1 reshapes host chromatin architecture via transcription machinery hijacking
González-Almela E, Castells-Garcia A, Le Dily F et al. · Nature communications 2025 · PMID 40537528 · doi:10.1038/s41467-025-60534-6
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 GSE237079_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 PRJNA993680 and SRA study SRP448614. Searching any of these in the dataset finder brings you back here.

Study design
3 × Human_A549, non infected, vs 3 × Human_A549, 1 hour post infection, vs 3 × Human_A549, 3 hours post infection, vs 3 × Human_A549, 8 hours post infection,

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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