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DNA virus infections shape transposable element activity in vitro and in vivo (HCMV,KSHV,DUX4)

GSE280380 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 54 samples Submitted 2025/01/01 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 54 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Samples
54 samples: 26 conditions, mostly in duplicateGroups 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.
Summary (written by the submitters)
We show strong activation of TEs in the context of DNA virus infection and investigate the molecular mechanisms of how TEs are induced. We demonstrate that herpesvirus infection leads to a robust expression of the MLT and THE1-class of LTR containing retrotransposons as well as a subset of long-interspersed nuclear elements-1 (LINEs), Alu-elements and some HERVs. Mechanistically we demonstrate that this TEs upregulation is induced by two pathways that act synergistically: de-repression of KAP1/TRIM28 mediated by phosphorylation and expression of the pioneer factor double-homeobox 4 (DUX4).
This dataset
Open GSE280380 in finder → Find more human 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 GSE280380_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1178129 and SRA study SRP541005. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
26 conditions, mostly in duplicate
HFF cells, mock, ×2 HFF cells, HCMV(BAC2), 12h, ×2 HFF cells, HCMV(BAC2), 36h, ×2 HFF cells, HCMV(BAC2), 72h, ×2 SLK endothelial cells, mock, ×2 SLK endothelial cells, KSHV, 48h, ×2 SLK endothelial cells, KSHV, 72h, ×2 HFF cells, DUX4, mock, ×2 +20 more

Supports a between-group comparison across 52 samples.

How we read this: 26 replicated groups read from 54 sample titles; they account for 52 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

+ 14 more — browse all 54 samples with per-sample file links →

Datasets on a similar topic

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.