GEO series

IDH-mutant glioma arises from glial progenitor cells harboring the initial driver mutation

GSE275791 Mus musculus (mouse) Single-cell RNA-seq 2 samples Submitted 2026/01/13 Platform GPL34290

At a glance

Single-cell RNA-seq · mouse · 2 samples

What it is: Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism: Mus musculus (mouse)
Samples: 2 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: IDH-mutant gliomas arise from glial progenitor cells harboring the initial driver mutationScience (New York, N.Y.) · 2026

Summary (written by the submitters)

Discovering the cell-of-origin with the initial driver mutation provides fundamental basis for understanding tumor evolution and developing new treatments. In isocitrate dehydrogenase (IDH)-mutant gliomas, the most common malignant primary brain tumors in young adult under 50, its cell-of-origin remains poorly understood. Here, we used patient brain tissues and genome edited mice to identify glial progenitor cells (GPCs) including oligodendrocyte progenitor cells (OPCs) as the cell-of-origin harboring the IDH mutation as the initial driver mutation.

Read the full summary ↓

We conducted comprehensive deep sequencing, including droplet digital PCR and deep panel and amplicon sequencing on 128 tissues from 62 patient (29 IDH-mutant gliomas and 33 IDH-negative controls), comprising tumors, normal cortex, or normal subventricular zone (SVZ), and blood. Surprisingly, we found low-level IDH mutation in the normal cortex away from the tumor, in 38.5% (10 of 26) of IDH-mutant glioma patients, while no IDH mutation was detected in the normal SVZ. Furthermore, through the analysis of cell-type-specific mutations, the direction of clonal evolution, and the single-cell transcriptome from patient brains as well as novel mouse model of IDH-mutant glioma arising from mutation-carrying OPCs, we determined that GPCs including OPCs with the initial driver mutation are responsible for the development and evolution to IDH-mutant gliomas. In summary, our results demonstrate that GPCs containing the IDH mutation are the cells-of-origin harboring the initial driver mutation in IDH-mutant gliomas.

Published in

IDH-mutant gliomas arise from glial progenitor cells harboring the initial driver mutation

Park JW, Kwak J, Kim KW et al. · Science (New York, N.Y.) 2026 · PMID 41505555 · doi:10.1126/science.adt0559

This dataset

Open GSE275791 in finder → Find more mouse 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 GSE275791_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1153009 and SRA study SRP528977. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41505555) ↗

Samples in this study

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+ 2 more — browse all 2 samples with per-sample file links →

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