细胞状态

恶性细胞反复出现的转录程序，如 Neftel 等提出的 GBM 四种状态。

关联证据

• VC0090 A State-Resolved Single-Cell and Spatial Atlas Reveals IDH-Associated Differences in Malignant and Immune Architecture in Diffuse Glioma. — Zaman A et al., MedComm, 2026
• VC0132 Drug and single-cell gene expression integration identifies sensitive and resistant glioblastoma cell populations — Suter et al., Nature Communications, 2026
• VC0095 BRD2 bromodomain-mediated regulation of cell state plasticity modulates therapy response in glioblastoma. — Vadla R et al., Neuro-oncology, 2025
• VC0060 Charting the single-cell and spatial landscape of IDH-wild-type glioblastoma with GBmap. — Ruiz-Moreno C et al., Neuro-oncology, 2025
• VC0048 Deep-learning-based gene perturbation effect prediction does not yet outperform simple linear baselines. — Ahlmann-Eltze C, Huber W, Anders S., Nature methods, 2025
• VC0066 Interactions between cancer cells and immune cells drive transitions to mesenchymal-like states in glioblastoma. — Hara T et al., Cancer cell, 2025
• VC0049 Benchmarking foundation cell models for post-perturbation RNA-seq prediction. — Csendes G, Sanz G, Szalay KZ, Szalai B., BMC genomics, 2025
• VC0050 Zero-shot evaluation reveals limitations of single-cell foundation models. — Kedzierska KZ, Crawford L, Amini AP, Lu AX., Genome biology, 2025
• VC0092 · 预印本 Mapping the spatial architecture of glioblastoma from core to edge delineates niche-specific tumor cell states and intercellular interactions — Khan SM et al., bioRxiv, 2025
• VC0001 How to build the virtual cell with artificial intelligence: Priorities and opportunities. — Bunne C et al., Cell, 2024
• VC0072 A method for in silico exploration of potential glioblastoma multiforme attractors using single-cell RNA sequencing. — Vieira Junior MG, de Almeida Côrtes AM, Gonçalves Carneiro FR, Carels N, Silva FABD., Scientific reports, 2024
• VC0070 In vivo perturb-seq of cancer and microenvironment cells dissects oncologic drivers and radiotherapy responses in glioblastoma. — Liu SJ et al., Genome biology, 2024
• VC0094 Hypoxia coordinates the spatial landscape of myeloid cells within glioblastoma to affect survival. — Haley MJ et al., Science advances, 2024
• VC0061 Integrative spatial analysis reveals a multi-layered organization of glioblastoma. — Greenwald AC et al., Cell, 2024
• VC0008 scGPT: toward building a foundation model for single-cell multi-omics using generative AI. — Cui H, Wang C, Maan H, Pang K, Luo F, Duan N, Wang B., Nature methods, 2024
• VC0009 Transfer learning enables predictions in network biology. — Theodoris CV, Xiao L, Chopra A, Chaffin MD, Al Sayed ZR, Hill MC, Mantineo H, Brydon EM, Zeng Z, Liu XS, Ellinor PT., Nature, 2023
• VC0069 A single-cell atlas of glioblastoma evolution under therapy reveals cell-intrinsic and cell-extrinsic therapeutic targets. — Wang L, Jung J, Babikir H, Shamardani K, Jain S, Feng X, Gupta N, Rosi S, Chang S, Raleigh D, Solomon D, Phillips JJ, Diaz AA., Nature cancer, 2022
• VC0065 The landscape of tumor cell states and spatial organization in H3-K27M mutant diffuse midline glioma across age and location. — Liu I et al., Nature genetics, 2022
• VC0068 Single-cell RNA-seq reveals that glioblastoma recapitulates a normal neurodevelopmental hierarchy. — Couturier CP et al., Nature communications, 2020
• VC0067 A Patient-Derived Glioblastoma Organoid Model and Biobank Recapitulates Inter- and Intra-tumoral Heterogeneity. — Jacob F et al., Cell, 2019
• VC0059 An Integrative Model of Cellular States, Plasticity, and Genetics for Glioblastoma. — Neftel C et al., Cell, 2019
• VC0064 Developmental and oncogenic programs in H3K27M gliomas dissected by single-cell RNA-seq. — Filbin MG et al., Science (New York, N.Y.), 2018
• VC0063 Decoupling genetics, lineages, and microenvironment in IDH-mutant gliomas by single-cell RNA-seq. — Venteicher AS et al., Science (New York, N.Y.), 2017