← BioTransfer GEO Dataset Finder
GEO series

H3K27M co-opts ASCL1 to maintain progenitor states and drive gliomagenesis

GSE326427 Homo sapiens Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing 4 samples Submitted 2026/08/07 Platform GPL30173
Summary
Phenotypic plasticity, a hallmark of cancer facilitated by epigenomic reprogramming, represents a significant challenge but also therapeutic opportunity for cancer treatment. How plasticity is regulated in diffuse midline gliomas (DMGs), incurable pediatric brain tumors characterized by oncogenic H3K27M histone mutations, is not understood. Here we demonstrate that H3K27M-driven plasticity requires the lineage-specific, pioneer transcription factor (TF) ASCL1. Prolonged differentiation reveals clinically relevant plasticity in DMGs, which segregate into ASCL1-high, neural progenitor cell (NPC)-like gliomaspheres and ASCL1-low, mesenchymal (MES)-like adherent subpopulations. Direct transcriptional activation by ASCL1 enables super enhancers to sustain NPC programs de-repressed by H3K27M. H3K27M loss induces an irreversible MES-like state, suppresses plasticity by abolishing the ASCL1-high state, and is largely phenocopied by loss of ASCL1. Knocking out ASCL1 in DMG lines robustly inhibited tumor growth and significantly extended survival of recipient mice. Our results suggest targeting epigenetic plasticity to suppress master TF-driven progenitor states as a general therapeutic opportunity in cancer.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE326427_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1445256 and SRA study SRP687834. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 4 more — browse all 4 samples with per-sample file links →

Similar datasets

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.