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RNA sequencing human melanoma, glioblastoma and pancreatic adenocarcinoma cell lines

GSE288221 Homo sapiens (human) RNA-seq (gene expression) 32 samples Submitted 2025/08/21 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 32 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)
Topic
Pancreatic cancerThis series is part of our curated briefing on it.
Samples
32 samples: 11 conditions, mostly in triplicateGroups 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
Oncolytic HSV-1 expressing FLT3L kills melanoma, glioblastoma, and pancreatic cancer cells in vitro and induces immunogenic cell deathMolecular therapy. Oncology · 2025
Summary (written by the submitters)
Bulk RNA sequencing was performed on commercially available melanoma, glioblastoma and pancreatic adenocarcinoma cells lines. The RNA expression data were then correlated to the effect of a newly developed oncolytic virus on the growth of the cell lines.
Published in
Oncolytic HSV-1 expressing FLT3L kills melanoma, glioblastoma, and pancreatic cancer cells in vitro and induces immunogenic cell death
Tuyaerts S, Geeraerts X, Reale A et al. · Molecular therapy. Oncology 2025 · PMID 40955425 · doi:10.1016/j.omton.2025.201031
This dataset
Open GSE288221 in finder → Find more human RNA-seq datasets → Pancreatic cancer landscape →
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 GSE288221_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 PRJNA1216587 and SRA study SRP560476. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40955425) ↗
Study design
11 conditions, mostly in triplicate
624-mel biol ×3 938-mel biol ×3 ASPC1 biol ×3 BXPC3 biol ×3 Capan-1 biol ×3 MiaPaca-2 biol ×3 PaTu8988t biol ×3 SUIT2 biol ×3 +3 more

Supports a between-group comparison across 32 samples.

How we read this: 11 replicated groups read from 32 sample titles; they account for 32 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
More Pancreatic cancer datasets

Search all human RNA-seq datasets in GEO →

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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.