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Optimized culturing yields high success rates and preserves molecular heterogeneity, enabling personalized screening for high-grade gliomas

GSE248544 Homo sapiens (human) RNA-seq (gene expression) 82 samples Submitted 2025/05/27 Platform GPL23391Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 82 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
82 samples: 7 conditions, mostly with about 4 replicates eachGroups 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
Optimized culturing yields high success rates and preserves molecular heterogeneity, enabling personalized screening for high-grade gliomasNPJ precision oncology · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Optimized culturing yields high success rates and preserves molecular heterogeneity, enabling personalized screening for high-grade gliomas
Posthoorn-Verheul C, Fabro F, Ntafoulis I et al. · NPJ precision oncology 2025 · PMID 40425813 · doi:10.1038/s41698-025-00946-1
This dataset
Open GSE248544 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 GSE248544_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 PRJNA1044750 and SRA study SRP473986. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40425813) ↗
Study design
7 conditions, mostly with about 4 replicates each
GS ×31 GS0902c ×4 GS0916c ×4 GS0921c ×4 GS0838c ×2 GS.0865 (3DD-GSC)_p ×2 GS.0865 (3DD-UA-GSC)_p ×2 GS0818c ×1 +32 more

Supports a between-group comparison across 49 samples.

How we read this: 7 replicated groups read from 82 sample titles; they account for 49 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

+ 42 more — browse all 82 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.