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Design, Development, and Evaluation of Gene Therapeutics Specific to KSHV-Associated Diseases

GSE289947 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2025/02/19 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: 8 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)
Kaposi's sarcoma-associated herpesvirus (KSHV) is the causative agent of Kaposi's sarcoma (KS) and two human lymphoproliferative diseases: primary effusion lymphoma and AIDS-related multicentric Castleman's disease. KSHV latency-associated nuclear antigen (LANA) is expressed in KSHV-infected cancer cells and is responsible for maintaining viral genomes in infected cells.
Read the full summary ↓
Thus, LANA is an attractive target for therapeutic intervention for KSHV-associated diseases. Here, we devised a gene therapy vector using the adeno-associated virus (AAV), which capitalizes the LANA's function to tether terminal repeat (TR) containing circular genome in latently infected cells and the TR's enhancer function for KSHV inducible gene promoters. By including two TR copies with a lytic inducible gene promoter (TR2-Orip), we generated an AAV vector, which expresses an engineered thymidine kinase (TK) selectively in KSHV-infected cells. Ganciclovir (GCV), an anti-herpesvirus drug, effectively eradicated multiple KSHV-infected cells that include iPSC derived epithelial colony forming cells, but not non-KSHV-infected counterparts in the presence of AAV8-TR2-Orip-TK. In addition, AAV8-TR2-Orip-TK prevents KSHV virion production from reactivated cells, hence spreading KSHV infections from reactivated cells. Anti-cancer drugs, known to reactivate KSHV, stimulated TK expression from the vector and, therefore, synergized with AAV8 TR2-Orip-TK to induce KSHV-infected cancer cell death. Finally, the AAV8-TR2-Orip-TK with GCV completely diminished KSHV-infected cancer cells in the xenograft tumor model. Our new cancer gene therapy should augment the current clinical protocol for KS.
This dataset
Open GSE289947 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 GSE289947_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: 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 PRJNA1225617 and SRA study SRP564928. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 conditions, mostly in duplicate
iSLK_KSHV ×2 iSLK_KSHV_GCV ×2 iSLK_KSHV_AAV-TK ×2 iSLK_KSHV_GCV_AAV-TK ×2 293_KSHV ×2 293_KSHV_GCV ×2 293_KSHV_AAV-TK ×2 293_KSHV_GCV_AAV-TK ×2

Supports a between-group comparison across 16 samples.

How we read this: 8 replicated groups read from 16 sample titles; they account for 16 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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