← BioTransfer GEO Dataset Finder
GEO series

Cellular Reprogramming of H3K27M Pediatric High-Grade Glioma to Neuron-like State

GSE298781 Homo sapiens Expression profiling by high throughput sequencing 8 samples Submitted 2026/03/05 Platform GPL34281
Summary
This study explores the cell fate reprogrammability of H3K27M-mutant pediatric high-grade gliomas (pHGG) using neuronal transdifferentiation as a potential targeted therapy. We treated the BT245 patient-derived glioma cell line with pharmacological combinations targeting neuronal differentiation pathways and performed bulk RNA sequencing to characterize gene expression patterns driving cell fate transitions. Our findings reveal that the drug combinations induce transcriptomic changes consistent with differentiation towards mature neuronal phenotypes, including the upregulation of synaptic and dendritic signaling genes and the downregulation of malignant signatures. In comparison, astrocytic differentiation media (DM) and H3K27M knockout (KO) promote residual astrocytic or stem-like phenotypes, suggesting neuronal transdifferentiation as a more effective strategy for mitigating tumor aggressiveness and progression. Differentially expressed genes such as GRIK1, GRIN1, NRXN3, NRXN1, CALB2, SCGN, SLC32A1, SLC1A2, KCNC3, and neurodevelopmental regulators including WNT7A, DLX6, ERBB4, ARX, BCL11B, SEMA3C, and FGFBP3 were identified as key markers regulating the neuron-like lineage transition. This study demonstrates that pHGGs can be phenotypically redirected toward stable, less invasive neuronal identities through modulating cell fate differentiation programs. These findings advance the concept of 'transition therapy' as a promising intervention to reduce phenotypic plasticity and malignancy in pHGG ecosystems. While these are early in vitro findings, the ability to steer and control glioma cells toward stable, less malignant fates offers promising translational potential for patient-centered targeted therapies.
Published in
Cellular reprogramming of H3K27M pediatric high-grade glioma to neuron-like state
Uthamacumaran A, Horth C, Bareke E et al. · Acta neuropathologica communications 2025 · PMID 41469740 · doi:10.1186/s40478-025-02185-8
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE298781_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1271096 and SRA study SRP589340. 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.

+ 8 more — browse all 8 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.