GEO series
Longitudinal changes in DNA methylation in IDH-mutant glioma fuel disease progression through altered cell state differentiation [scRNA-seq]
GSE292130
Homo sapiens
Expression profiling by high throughput sequencing
31 samples
2026/04/27
GPL24676GPL30173
Summary
IDH-mutant gliomas are initially slow-growing but invariably progress to fatal disease. Major gaps remain in our understanding of the molecular underpinnings and cellular dynamics that drive IDH-mutant evolution. To address this, we integrated joint-capture multi-omic single-cell profiling of DNA methylation, transcriptome and genotype in a longitudinal cohort of 35 IDH-mutant gliomas. Transcriptional and epigenetic comparisons of cell states during glioma progression revealed increased stem-like states, decreased differentiation and identified potential cell states regulators. Single-cell DNA methylation analysis demonstrated methylation loss in progressed tumors, however global DNA methylation was similar between different malignant cells states within individual tumors. This suggests that lower DNA methylation is not due to a change in cell state composition, but rather that it may alter cell state landscapes. To address whether decreased methylation in progressed tumors affects cellular dynamics, we applied a quantitative framework to directly measure cell state heritability and plasticity based on transcriptional annotation of high-resolution phylogenetic trees in clinical samples. Our analysis suggested that decreased methylation reshapes cellular architecture to increased heritability of stem-like states and decreased differentiation. Our study provides insight into the functional impact of DNA methylation on glioma evolution, integrating transcriptional cancer cell states with epigenetic encoding and cell state transition dynamics during cancer progression.
Download
NCBI GEO page ↗
Paper (PMID 42332268) ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
human RNA-seq datasets →
Similar datasets
- GSE328275 Single-cell RNA sequencing of CD45+ immune cells across primary tumor, sentinel tumor-draining lymph node, and axillary lymph node in treatment-naive triple-negative breast cancer 28 samples
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples
- GSE319969 Spatial and Bulk Transcriptomic Profiling Defines the Molecular Evolution of Cutaneous Squamous Cell Carcinoma and Reveals Stage-Specific Biomarkers of Clinical Relevance [RNA-Seq] 24 samples
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples
- GSE199939 Comprehensive transcriptomic analysis of immune-related genes in diabetic foot ulcers: New insights into mechanisms and therapeutic targets 21 samples
- GSE336982 Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction 183 samples
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.