ArticleNature genetics2021
Epigenetic encoding, heritability and plasticity of glioma transcriptional cell states.
Article in Nature genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
165 citing papers in PubMed, 236 citations in OpenAlex.
- Prospective phase II clinical trial of molecular glioblastoma (historical grade 2 and 3 IDH wildtype gliomas) preliminary novel exploratory analyses : Treatment intensification, margin reduction and epigenetic stratified outcomes with radiation therapy and chemotherapy.Journal of neuro-oncology · 2025Trial
- Unifying multimodal single-cell data with a mixture-of-experts β-variational autoencoder framework.Genome research · 2026Article
- Computational approaches for multimodal lineage tracing.Nature reviews. Genetics · 2026Review
- Heterogeneity in cancer: molecular mechanisms and therapeutic strategies.Signal transduction and targeted therapy · 2026Review
- Research Advances on Organelle-Targeted Drug Delivery Systems for the Treatment of Brain Tumors and Central Nervous System Inflammation.Pharmaceutics · 2026Review
- A single-cell lens into the co-evolution of genotypes and phenotypes in cancer.Nature reviews. Cancer · 2026Review
- Spatial Omics in High-Grade Gliomas: Mapping Immune-Tumor Niches for Precision Therapy.Cancer medicine · 2026Review
- Multi-sampling allows intra-tumoral heterogeneity querying and vulnerability profiling in glioblastoma.Neuro-oncology · 2026Article
- The Invasive Margin of Glioblastoma as a Molecular Ecosystem: Spatial Heterogeneity, Tumor-Host Interactions, and Therapeutic Opportunities.International journal of molecular sciences · 2026Review
- Unifying multimodal single-cell data with a mixture-of-expertsbioRxiv : the preprint server for biology · 2026Article
- Long-read sequencing of single cell-derived melanoma sublines reveals divergent and parallel genomic and epigenomic evolutionary trajectories.Nature communications · 2026Article
- Article
- Longitudinal changes in DNA methylation in IDH-mutant glioma fuel disease progression through altered cell state differentiation.Nature genetics · 2026Article
- Decoding glioblastoma evolution and heterogeneity through mechanistic modeling: implications for clinical translation.Journal of experimental & clinical cancer research : CR · 2026Review
- Charting single-cell lineages with synthetic and natural barcodes.Nature reviews. Genetics · 2026Review
- Spatial and single-cell characterization of human glioblastoma tumor microenvironment reveals malignant cellular communities.Nature neuroscience · 2026Article
- Modeling glioblastoma relapse in vitro: a critical journey from 2D models to organ-on-chip alternatives.NPJ precision oncology · 2026Review
- A cellular epigenetic classification system for glioblastoma.Neuro-oncology · 2026Article
- Precision Immunotherapeutics for Glioblastoma: Current Approaches and Emerging Strategies in 2026.Cells · 2026Review
- Review
105 more citing papers are in PubMed but not listed here.
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Authors and funding
21 authors at 2 institutions in 1 country.
Funding
Abstract
Single-cell RNA sequencing has revealed extensive transcriptional cell state diversity in cancer, often observed independently of genetic heterogeneity, raising the central question of how malignant cell states are encoded epigenetically. To address this, here we performed multiomics single-cell profiling-integrating DNA methylation, transcriptome and genotype within the same cells-of diffuse gliomas, tumors characterized by defined transcriptional cell state diversity. Direct comparison of the epigenetic profiles of distinct cell states revealed key switches for state transitions recapitulating neurodevelopmental trajectories and highlighted dysregulated epigenetic mechanisms underlying gliomagenesis. We further developed a quantitative framework to directly measure cell state heritability and transition dynamics based on high-resolution lineage trees in human samples. We demonstrated heritability of malignant cell states, with key differences in hierarchal and plastic cell state architectures in IDH-mutant glioma versus IDH-wild-type glioblastoma, respectively. This work provides a framework anchoring transcriptional cancer cell states in their epigenetic encoding, inheritance and transition dynamics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.