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The effect of ORF57 knockout (KO) on host expression in iSLK/Bac16 cells.

GSE259446 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2024/11/21 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 16 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
16 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
A KSHV RNA-binding protein promotes FOS to inhibit nuclease AEN and transactivate RGS2 for AKT phosphorylationmBio · 2025
Summary (written by the submitters)
Kaposi’s sarcoma-associated herpesvirus (KSHV) is a human oncogenic virus associated with various malignancies, including Kaposi’s sarcoma, primary effusion lymphoma, and multicentric Castleman’s disease. The expression of viral products is essential for initiating and sustaining KSHV-induced tumors. KSHV ORF57, a viral RNA-binding protein, plays a crucial role in regulating viral gene expression at the posttranscriptional level by promoting viral RNA stability, splicing, and translation. In addition, ORF57 dysregulates host gene expression to promote viral replications.
Published in
A KSHV RNA-binding protein promotes FOS to inhibit nuclease AEN and transactivate RGS2 for AKT phosphorylation
Majerciak V, Alvarado-Hernandez B, Ma Y et al. · mBio 2025 · PMID 39655935 · doi:10.1128/mbio.03172-24
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 GSE259446_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 PRJNA1081776 and SRA study SRP492270. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 16 more — browse all 16 samples with per-sample file links →

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