ArticleMolecular systems biology2021
Modeling glioblastoma heterogeneity as a dynamic network of cell states.
Article in Molecular systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Exploring the mechanism by which triphenyl phosphate promotes malignant phenotypes in bladder and kidney cancer through MMP9 based on bioinformatics analysis and experimental validation.Clinical and experimental medicine · 2026Article
- Review
- Predictable clonal hierarchies from restricted progenitors provide a framework for cell type-specific therapies in glioblastoma.bioRxiv : the preprint server for biology · 2026Article
- Future Research Directions on Mycobacterium tuberculosis Proteins.Advances in experimental medicine and biology · 2026Review
- The dynamic myeloid-enriched microenvironment of glioblastoma: a major challenge to immunotherapy efficacy.Frontiers in immunology · 2026Review
- Beyond synapses non-synaptic neural microenvironment interactions remodel circuits and drive glioma progression.Frontiers in oncology · 2026Review
- Cross-species comparison reveals therapeutic vulnerabilities halting glioblastoma progression.Nature communications · 2025Article
- IDENTIFICATION OF DISEASE-SPECIFIC VULNERABILITY STATES AT THE SINGLE-CELL LEVEL.bioRxiv : the preprint server for biology · 2025Article
- Genetically Encoded Fluorescence Barcodes Allow for Single-Cell Analysis via Spectral Flow Cytometry.ACS synthetic biology · 2025Article
- Review
- p21-Dependent Senescence Induction by BMP4 Renders Glioblastoma Cells Vulnerable to Senolytics.International journal of molecular sciences · 2025Article
- Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks.Interdisciplinary sciences, computational life sciences · 2025Article
- Network analyses of brain tumor multiomic data reveal pharmacological opportunities to alter cell state transitions.NPJ systems biology and applications · 2025Article
- An update on the clinical trial research of immunotherapy for glioblastoma.Frontiers in immunology · 2025Review
- Gene choice in cancer cells is exclusive in ion transport but concurrent in DNA replication.Computational and structural biotechnology journal · 2024Article
- Immunotherapy for glioblastoma: current state, challenges, and future perspectives.Cellular & molecular immunology · 2024Review
- Reconstructing the regulatory programs underlying the phenotypic plasticity of neural cancers.Nature communications · 2024Article
- Glioblastoma and Immune Checkpoint Inhibitors: A Glance at Available Treatment Options and Future Directions.International journal of molecular sciences · 2024Review
- Gene regulatory network topology governs resistance and treatment escape in glioma stem-like cells.Science advances · 2024Article
- Network Analyses of Brain Tumor Patients' Multiomic Data Reveals Pharmacological Opportunities to Alter Cell State Transitions.Research square · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tumor cell heterogeneity is a crucial characteristic of malignant brain tumors and underpins phenomena such as therapy resistance and tumor recurrence. Advances in single-cell analysis have enabled the delineation of distinct cellular states of brain tumor cells, but the time-dependent changes in such states remain poorly understood. Here, we construct quantitative models of the time-dependent transcriptional variation of patient-derived glioblastoma (GBM) cells. We build the models by sampling and profiling barcoded GBM cells and their progeny over the course of 3 weeks and by fitting a mathematical model to estimate changes in GBM cell states and their growth rates. Our model suggests a hierarchical yet plastic organization of GBM, where the rates and patterns of cell state switching are partly patient-specific. Therapeutic interventions produce complex dynamic effects, including inhibition of specific states and altered differentiation. Our method provides a general strategy to uncover time-dependent changes in cancer cells and offers a way to evaluate and predict how therapy affects cell state composition.
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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.