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Viral and host network analysis of the human cytomegalovirus transcriptome in latency

GSE266854 Homo sapiens (human) RNA-seq (gene expression) 143 samples Submitted 2024/05/13 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 143 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
143 samples
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
Viral and host network analysis of the human cytomegalovirus transcriptome in latencybioRxiv : the preprint server for biology · 2024
Summary (written by the submitters)
To investigate HCMV (and human host) gene expression profile during latency and reactivation, we infected THP-1 cells with the wildtype HCMV-TB40E or with recombinant viruses that cannot establish latency (UL138stop) or cannot reactivate (UL135stop). After the establishment of viral latency, we treated cells with TPA to induce cellular differentiation and viral reactivation.
Read the full summary ↓
We then performed gene expression profiling analysis using data obtained from RNA-seq over a timecourse of undifferentiated and differentiated cells that are infected with each virus. Uninfected cells are included as a control for gene expression changes that are virally induced.
Published in
Viral and host network analysis of the human cytomegalovirus transcriptome in latency
Collins-McMillen D, De Oliveira Pessoa D, Zarrella K et al. · bioRxiv : the preprint server for biology 2024 · PMID 38826434 · doi:10.1101/2024.05.21.594597
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 GSE266854_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 PRJNA1108523 and SRA study SRP506315. Searching any of these in the dataset finder brings you back here.

Samples in this study

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