Glioblastoma single-cell and spatial datasets胶质母细胞瘤单细胞与空间数据集
Review pending待审阅 Version 0.1.0 · status: draft · last expert review: not yet reviewed版本 0.1.0 · 状态：初稿 · 最近专家审阅：尚未审阅
Research question研究问题
- What single-cell and spatial datasets exist for glioblastoma?胶质母细胞瘤有哪些单细胞与空间数据集？
- What is GBmap?GBmap 是什么？
- Is there enough GBM data to train a virtual cell?GBM 数据是否足以训练虚拟细胞？
Current understanding当前认识
The library includes a harmonised GBM reference atlas (GBmap, >1.1 million cells from 240 patients), primary–recurrent and spatial studies, and a GBM organoid biobank. Observational atlases are plentiful; paired perturbation data are scarce.文献库收录了 GBM 统一参考图谱（GBmap，来自 240 名患者的逾 110 万个细胞）、原发-复发与空间研究以及 GBM 类器官库。观察性图谱较多，配对扰动数据稀缺。
GBmap integrates single-cell RNA-seq from 26 datasets (over 1.1 million cells, 240 patients) into a harmonised atlas, adds high-resolution spatial transcriptomics, and reports 7 tumor niches, with hypoxia-dependent niches associated with poor prognosis.GBmap 整合 26 个数据集的单细胞 RNA 测序（逾 110 万个细胞、240 名患者）构建统一图谱，并加入高分辨率空间转录组，报告了 7 种肿瘤生态位，其中缺氧依赖的生态位与不良预后相关。 VC0060
Other key resources: the Neftel single-cell study (28 tumors), a multi-omic atlas of 86 primary–recurrent pairs, spatial transcriptomics/proteomics of glioma organisation, spatial multi-omics of tumor–host interdependence, and spatial myeloid mapping.其他关键资源：Neftel 单细胞研究（28 例肿瘤）、86 对原发-复发配对的多组学图谱、胶质瘤组织结构的空间转录组/蛋白组、肿瘤-宿主相互依存的空间多组学，以及髓系细胞空间图谱。 VC0059 VC0069 VC0061 VC0062 VC0094
Data platforms and model systems: CZ CELLxGENE Discover hosts glioma datasets among 100M+ cells, and a patient-derived GBM organoid biobank recapitulates inter- and intra-tumoral heterogeneity.数据平台与模型系统：CZ CELLxGENE Discover 在逾 1 亿个细胞中收录了胶质瘤数据集；患者来源的 GBM 类器官库再现了肿瘤间与肿瘤内异质性。 VC0043 VC0067
For virtual-cell training, the bottleneck is paired perturbation → state data in GBM; in vivo Perturb-seq in mouse GBM models is a rare example.就虚拟细胞训练而言，瓶颈在于 GBM 中“扰动→状态”的配对数据；小鼠 GBM 模型中的体内 Perturb-seq 是少见的例子。 VC0070
Evidence map证据图谱
Primary studies & datasets原始研究与数据集
- VC0060 Charting the single-cell and spatial landscape of IDH-wild-type glioblastoma with GBmap. — Ruiz-Moreno C et al., Neuro-oncology, 2025
- VC0059 An Integrative Model of Cellular States, Plasticity, and Genetics for Glioblastoma. — Neftel C et al., Cell, 2019
- 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
- VC0061 Integrative spatial analysis reveals a multi-layered organization of glioblastoma. — Greenwald AC et al., Cell, 2024
- VC0062 Spatially resolved multi-omics deciphers bidirectional tumor-host interdependence in glioblastoma. — Ravi VM et al., Cancer cell, 2022
- VC0094 Hypoxia coordinates the spatial landscape of myeloid cells within glioblastoma to affect survival. — Haley MJ et al., Science advances, 2024
- VC0092 · preprint · 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
- VC0093 · preprint · 预印本 Spatial epigenomic niches underlie glioblastoma cell state plasticity — Kint S et al., bioRxiv, 2025
Related models & tools相关模型与工具
- VC0043 CZ CELLxGENE Discover: a single-cell data platform for scalable exploration, analysis and modeling of aggregated data. — CZI Cell Science Program et al., Nucleic acids research, 2025
- VC0067 A Patient-Derived Glioblastoma Organoid Model and Biobank Recapitulates Inter- and Intra-tumoral Heterogeneity. — Jacob F et al., Cell, 2019
- VC0096 Core2Edge: a human glioblastoma organoid-brain slice model capturing infiltration and transcriptional heterogeneity from core to single-cell dispersion. — Melhem A et al., Nature protocols, 2026
Perturbation & validation evidence扰动与验证证据
- 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
12 library items cited on this page; 2 are preprints (not peer reviewed).本页引用文献库条目 12 条，其中预印本（未经同行评审）2 条。
What remains uncertain尚不确定之处
Accession numbers, access conditions and licences of each dataset have not been verified by GlioState; check the original papers.GlioState 未核验各数据集的登录号、访问条件与许可，请以原文为准。
Integrating 26 datasets involves batch and annotation harmonisation choices that may affect state calls.整合 26 个数据集涉及批次与注释统一的选择，可能影响状态判定。 VC0060
Two spatial GBM resources in the library are preprints.文献库中两项 GBM 空间资源为预印本。 VC0092 · preprint · 预印本 VC0093 · preprint · 预印本
For research and education only. Not medical advice and not a recommendation of any diagnosis, treatment or product. Patients should consult their own physicians.仅供科研与教育参考，不构成医疗建议，也不构成对任何诊疗或产品的推荐。患者请咨询主治医生。