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Detection of transcriptomic changes in N9 and N33 GBM cells following treatment with small molecular inhibitors of MK-0752, WP1066 and retinoic acid

GSE324741 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2026/03/18 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 18 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
GlioblastomaThis series is part of our curated briefing on it.
Samples
18 samples: 6 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.
Summary (written by the submitters)
We demonstrated that the cell state of suppressed neurogenesis and precocious astrogenesis in IDH-wildtype glioblastoma (GBM) could be manipulated as a potential therapeutic option. Clinically tested small molecule inhibitors MK-0752 (MK), WP1066 (WP), and retinoic acid (RA) were used to induce de-repression of neuronal differentiation in IDH-wildtype GBM. In order to explore the pathways affected by the two-drug (combination of MK and WP) or three-drug (combination of MK, WP, and RA) treatment, we performed mRNA sequencing on N9 and N33 cells at 48 hours post two-drug or three-drug treatent.
This dataset
Open GSE324741 in finder → Find more human RNA-seq datasets → Glioblastoma 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 GSE324741_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 PRJNA1436942 and SRA study SRP683356. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly in triplicate
N9 cells, CONT, 48h, ×3 N9 cells, treated with MK+WP, 48h, ×3 N9 cells, treated with MK+WP+RA, 48h, ×3 N33 cells, CONT, 48h, ×3 N33 cells, treated with MK+WP, 48h, ×3 N33 cells, treated with MK+WP+RA, 48h, ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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 Glioblastoma datasets

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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.