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Transcriptomics of FFPE-derived primary brain tumours

GSE272042 Homo sapiens (human) RNA-seq (gene expression) 153 samples Submitted 2025/01/15 Platform GPL21697
At a glance

RNA-seq (gene expression) · human · 153 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
153 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
Transcriptomics and epigenomics datasets of primary brain cancers in formalin-fixed paraffin embedded formatScientific data · 2025
Summary (written by the submitters)
Primary brain cancers are highly heterogeneous and include the most prevalent and aggressive glioblastomas. To understand the key factors underlying brain tumourigenesis, we have built our own database based on RNA sequencing from FFPE-derived biomaterial.
Published in
Transcriptomics and epigenomics datasets of primary brain cancers in formalin-fixed paraffin embedded format
García-Heredia A, Guerra-Núñez L, Martín-Climent P et al. · Scientific data 2025 · PMID 39955294 · doi:10.1038/s41597-025-04597-6
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 GSE272042_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 PRJNA1134745 and SRA study SRP519395. Searching any of these in the dataset finder brings you back here.

Study design
A cohort of 153 individual samples

The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Sample titles run Sample 31 … Sample 413 and carry no group information.

Samples in this study

+ 113 more — browse all 153 samples with per-sample file links →

More Glioblastoma 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.