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 · 2026-10-04
IDH相关胶质瘤状态分辨图谱。
脑与脊髓肿瘤
65 条与脑肿瘤直接相关或部分相关的条目，按其对未来“脑肿瘤虚拟细胞”的贡献分组。
GBM/胶质瘤细胞状态与图谱
A single-cell atlas of RNA alternative splicing in the glioma-immune ecosystem.
Song X, Tiek D, Lu M, Yu X, Wu R, Walker M, He Q, Sisbarro D, Hu B, Cheng SY. · Genome biology · 2025-12-12
胶质瘤-免疫生态可变剪接单细胞图谱。
Charting the single-cell and spatial landscape of IDH-wild-type glioblastoma with GBmap.
Ruiz-Moreno C et al. · Neuro-oncology · 2025-10-01
GBmap：IDH野生型GBM单细胞与空间参考图谱。
Mapping the spatial architecture of glioblastoma from core to edge delineates niche-specific tumor cell states and intercellular interactions
Khan SM et al. · bioRxiv · 2025-04-04
GBM核心到边缘的空间结构。
Hypoxia coordinates the spatial landscape of myeloid cells within glioblastoma to affect survival.
Haley MJ et al. · Science advances · 2024-05-17
缺氧协调GBM髓系细胞空间格局。
Integrative spatial analysis reveals a multi-layered organization of glioblastoma.
Greenwald AC et al. · Cell · 2024-04-22
Greenwald等：GBM多层次空间组织。
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 · 2022-12-20
治疗下GBM演化单细胞图谱。
Spatially resolved multi-omics deciphers bidirectional tumor-host interdependence in glioblastoma.
Ravi VM et al. · Cancer cell · 2022-06-01
Ravi等：GBM空间多组学揭示肿瘤-宿主相互依存。
Single-cell RNA-seq reveals that glioblastoma recapitulates a normal neurodevelopmental hierarchy.
Couturier CP et al. · Nature communications · 2020-07-08
GBM重演神经发育层级。
An Integrative Model of Cellular States, Plasticity, and Genetics for Glioblastoma.
Neftel C et al. · Cell · 2019-07-18
Neftel等：GBM四种恶性细胞状态及可塑性——虚拟细胞建模的核心“状态空间”。
Decoupling genetics, lineages, and microenvironment in IDH-mutant gliomas by single-cell RNA-seq.
Venteicher AS et al. · Science (New York, N.Y.) · 2017-03-01
Venteicher等：IDH突变胶质瘤单细胞谱系。
扰动数据、可塑性与类器官
GBM 体内 Perturb-seq（含放疗）是目前最接近“脑肿瘤虚拟细胞训练数据”的资源。
An operational perturbation proteomics-based virtual cell model.
Sun R et al. · Nature · 2026-09-09
Nature 2026：基于扰动蛋白质组的可操作虚拟细胞模型。
Tahoe-100M: Mapping drug-induced molecular phenotypes at single-cell resolution.
Zhang J et al. · Cell · 2026-09-01
Tahoe-100M正式发表于Cell 2026。
Predicting cellular responses to perturbation across diverse contexts with State.
Adduri AK et al. · Cell · 2026-08-31
Arc的State模型：跨70种细胞情境预测扰动反应（Cell 2026）。
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 · 2026-07-28
Core2Edge：GBM类器官-脑片浸润模型。
Automated and personalized glioblastoma tumor organoid drug screening platform exposes sensitivity to proteasome and HDAC inhibitors.
Jungwirth G et al. · NPJ precision oncology · 2026-06-16
自动化个体化GBM类器官药筛平台。
Drug and single-cell gene expression integration identifies sensitive and resistant glioblastoma cell populations
Suter et al. · Nature Communications · 2026-01-07
scFOCAL/ISOSCELES：把GBM细胞状态接到L1000药签，预测状态敏感度并验证OLIG2抑制剂+Depatux-M。
BRD2 bromodomain-mediated regulation of cell state plasticity modulates therapy response in glioblastoma.
Vadla R et al. · Neuro-oncology · 2025-11-01
BRD2调控GBM状态可塑性与治疗反应。
DELPHAI, AI Agent for Predicting Drug Response and Resistance
Peng et al. · preprint · 2025-09-17
DELPHAI：GBM类器官+TMZ的单细胞扰动预测与LLM机制解读；最优传输+PCA优于基线。
Predicting cellular responses to perturbation across diverse contexts with State
Adduri AK et al. · bioRxiv · 2025-06-27
State模型预印本。
Interactions between cancer cells and immune cells drive transitions to mesenchymal-like states in glioblastoma.
Hara T et al. · Cancer cell · 2025-05-27
免疫细胞驱动GBM向间充质样状态转变。
Spatial epigenomic niches underlie glioblastoma cell state plasticity
Kint S et al. · bioRxiv · 2025-05-14
空间表观生态位决定GBM状态可塑性。
Tahoe-100M : A Giga-Scale Single-Cell Perturbation Atlas for Context-Dependent Gene Function and Cellular Modeling
Zhang J et al. · bioRxiv · 2025-02-24
Tahoe-100M：1亿细胞、1100药物×50肿瘤细胞系。
A perturbation proteomics-based foundation model for virtual cell construction
Sun R, Qian L, Li Y, Cheng H, Xue Z, Zhang X, Tan L, Zhan Y, Hu W, Xiao Q, Liu Z, Zhang G, Weinan E, Zhou P, Wen H, Zhu Y, Guo T. · bioRxiv · 2025-02-10
上述扰动蛋白组虚拟细胞模型预印本。
In vivo perturb-seq of cancer and microenvironment cells dissects oncologic drivers and radiotherapy responses in glioblastoma.
Liu SJ et al. · Genome biology · 2024-10-07
GBM体内Perturb-seq：解析驱动基因与放疗反应——脑肿瘤虚拟细胞的关键训练数据类型。
A Patient-Derived Glioblastoma Organoid Model and Biobank Recapitulates Inter- and Intra-tumoral Heterogeneity.
Jacob F et al. · Cell · 2019-12-26
Jacob等：患者来源GBM类器官库。
数字孪生与机制模型
Generative AI for spatial tumor growth on MRI: a proof-of-principle study in pediatric diffuse midline glioma.
Laslo D et al. · BMC medicine · 2026-05-18
生成式AI预测儿童DMG的MRI空间生长。
TumorTwin: a Python framework for patient-specific digital twins in oncology
Kapteyn et al. · BMC Med Inform Decis Mak · 2026-05-11
开源模块化Python肿瘤数字孪生框架；演示高级别胶质瘤生长与放疗反应。
A Proteome-Calibrated Mechanistic Digital Twin of the Glioblastoma Astrocyte Derived from Patient Multi-Omic Data
Mayfield JD. · bioRxiv · 2026-04-23
蛋白质组校准的GBM星形细胞机制性数字孪生（预印本）。
Anatomically aware simulation of patient-specific glioblastoma xenografts
Malik et al. · PLoS Comput Biol · 2026-01-20
基于小鼠脑解剖的患者特异性GBM异种移植生长/侵袭模型；ABC拟合；通过扰动参数模拟治疗。
Multiscale mathematical model-informed reinforcement learning optimizes combination treatment scheduling in glioblastoma evolution.
Liu Z, Zhang J, Hong L, Nie Q, Sun X. · Science advances · 2025-08-08
多尺度机制模型+强化学习优化胶质瘤联合治疗时序。
Human interpretable grammar encodes multicellular systems biology models to democratize virtual cell laboratories.
Johnson JAI et al. · Cell · 2025-07-26
可解释“语法”驱动的多细胞主体模型，降低虚拟细胞实验室门槛（含肿瘤示例）。
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 · 2024-10-29
基于单细胞数据的GBM吸引子计算探索。
A simple agent-based hybrid model to simulate the biophysics of glioblastoma multiforme cells and the concomitant evolution of the oxygen field.
Saucedo-Mora L, Sanz MÁ, Montáns FJ, Benítez JM. · Computer methods and programs in biomedicine · 2024-01-26
GBM细胞生物物理主体模型。
Glioma follow white matter tracts: a multiscale DTI-based model.
Engwer C, Hillen T, Knappitsch M, Surulescu C. · Journal of mathematical biology · 2014-09-12
基于DTI的多尺度胶质瘤扩散模型。
Virtual and real brain tumors: using mathematical modeling to quantify glioma growth and invasion.
Swanson KR, Bridge C, Murray JD, Alvord EC. · Journal of the neurological sciences · 2003-12-01
Swanson等：“虚拟脑肿瘤”经典增殖-侵袭模型。
影像与病理基础模型
脑肿瘤领域的“基础模型”目前集中在 MRI 与病理；尚未检索到将单细胞基础模型用于胶质瘤扰动预测的同行评审论文。
Foundation Model Based on Routine Magnetic Resonance Imaging for Brain Tumor Molecular Profiling and Progression Prediction.
Li J, Liu R, Xing Y, Gao X, Yin Q, Su Q. · JCO precision oncology · 2026-02-20
基于常规MRI的脑肿瘤分子分型基础模型。
A foundation model for brain tumor MRI analysis: WHO grading and subtype classification.
Li J, Liu R, Xing Y, Gao X, Yin Q, Su Q. · Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2025-11-19
脑肿瘤MRI基础模型：WHO分级与亚型。
STPath: a generative foundation model for integrating spatial transcriptomics and whole-slide images.
Huang T, Liu T, Babadi M, Ying R, Jin W. · NPJ digital medicine · 2025-11-14
STPath：整合全切片图像与空间转录组的生成模型。
Bioptimus: multimodal biology foundation model (NVIDIA compute)
Bioptimus · Bioptimus news · 2025-06-11
法国Bioptimus多尺度生物基础模型。
A visual-omics foundation model to bridge histopathology with spatial transcriptomics.
Chen W et al. · Nature methods · 2025-05-29
病理图像与空间转录组桥接的视觉-组学基础模型。
Scaling Large Language Models for Next-Generation Single-Cell Analysis
Rizvi SA et al. · bioRxiv · 2025-04-17
C2S-Scale（耶鲁/谷歌）：270亿参数单细胞LLM，含虚拟药物筛选。
Towards a general-purpose foundation model for computational pathology.
Chen RJ et al. · Nature medicine · 2024-03-19
UNI：通用病理基础模型（含脑肿瘤分型任务）。
脑转移瘤
Single-cell and spatial transcriptomes reveal oligodendrocyte remodeling fatty acid metabolism microenvironment of lung cancer brain metastases.
Yang Y, Gao Y, Qi Z, Li S, Wang Z, Li D, Chen L, Zhou C, Feng M, Chen X, Hao B, Wu X, Li L, Cao Y. · Journal of translational medicine · 2026-06-16
脑转移中少突胶质细胞脂肪酸代谢重塑。
Single-cell and spatial genomic landscape of non-small cell lung cancer brain metastases.
Tagore S et al. · Nature medicine · 2025-02-27
非小细胞肺癌脑转移单细胞与空间图谱。
Single-cell transcriptomic analyses provide insights into the cellular origins and drivers of brain metastasis from lung adenocarcinoma.
Wang Z, Wang Y, Chang M, Wang Y, Liu P, Wu J, Wang G, Tang X, Hui X, Liu P, Guo X, Xing B, Wang Y, Han Z, Ma W. · Neuro-oncology · 2023-07-01
脑转移细胞起源与驱动。
The spatial transcriptomic landscape of non-small cell lung cancer brain metastasis.
Zhang Q, Abdo R, Iosef C, Kaneko T, Cecchini M, Han VK, Li SS. · Nature communications · 2022-10-10
肺癌脑转移空间转录组。
儿童及其他原发脑肿瘤
Spatial and single-cell dissection of medulloblastoma identifies developmental hierarchies and a prognostic PPIA-BSG tumor-immune axis.
Chen M, Duan B, Zhang J, Daniels C, Hu C, Yuan J, Guo J, Taylor MD, Shi X, Zhang L, Li D, Sun T. · Journal of translational medicine · 2026-09-15
髓母细胞瘤空间与单细胞层级（2026）。
Biological domain shift and statistical nesting concerns in generative AI-based spatial tumor growth prediction for pediatric diffuse midline glioma.
Li W, Sun X, Pei S. · BMC medicine · 2026-08-12
对上述DMG生成模型的方法学批评。
A longitudinal single-cell and spatial multiomic atlas of pediatric high-grade glioma.
Sussman JH et al. · Cell reports. Medicine · 2026-04-23
儿童高级别胶质瘤纵向单细胞/空间图谱。
Current landscape of single-cell genomics in meningioma.
Ellenbogen Y, Landry AP, Yefet LS, Ajisebutu A, Gui C, Persaud P, Kaloti R, Nassiri F. · Neuro-oncology advances · 2026-02-27
综述：脑膜瘤单细胞基因组学现状。
Single-cell analysis reveals a longitudinal trajectory of meningioma evolution and heterogeneity.
Lee JY, Lee EJ, Seo BY, Kim J, Song Y, Lee D, Moon N, Koo H, Park CK, Kim MS, Park SI, Nam DH, Kong DS, Sa JK. · Nature communications · 2025-07-01
脑膜瘤纵向单细胞演化轨迹。
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 · 2022-12-05
H3-K27M弥漫中线胶质瘤跨年龄细胞状态与空间组织。
Single-cell profiling of human dura and meningioma reveals cellular meningeal landscape and insights into meningioma immune response.
Wang AZ et al. · Genome medicine · 2022-05-10
硬脑膜与脑膜瘤单细胞图谱。
Single-Cell Transcriptomics in Medulloblastoma Reveals Tumor-Initiating Progenitors and Oncogenic Cascades during Tumorigenesis and Relapse.
Zhang L et al. · Cancer cell · 2019-08-29
髓母细胞瘤起源祖细胞。
Resolving medulloblastoma cellular architecture by single-cell genomics.
Hovestadt V et al. · Nature · 2019-07-24
髓母细胞瘤单细胞结构。
Developmental and oncogenic programs in H3K27M gliomas dissected by single-cell RNA-seq.
Filbin MG et al. · Science (New York, N.Y.) · 2018-04-01
Filbin等：H3K27M胶质瘤的发育与致瘤程序。
脊髓肿瘤——研究空白
脊髓髓内肿瘤（室管膜瘤、星形细胞瘤）几乎没有单细胞图谱，截至本轮综述也没有虚拟细胞研究。文献库中尚无相关条目——这正是 GlioState 计划持续追踪并参与填补的空白。
暂无条目，欢迎推荐。
通用资源与活动
AACR Annual Meeting 2027
AACR · Orlando, FL (to Apr 7) · 2027-04-02
AACR 2027：4月2-7日奥兰多。
NeurIPS 2026 Workshop: Foundation Models for the Brain and Body
NeurIPS · NeurIPS 2026, Sydney · 2026-12-11
NeurIPS 2026脑与身体基础模型研讨会。
SNO 2026 31st Annual Meeting
Society for Neuro-Oncology · Philadelphia, PA (to Nov 15) · 2026-11-12
SNO 2026：11月12-15日费城；2027年11月18-21日凤凰城。
EANO 2026 (21st meeting)
European Association of Neuro-Oncology · Rome, Italy (to Sep 27) · 2026-09-24
EANO 2026：9月24-27日罗马（已结束）。
Lessons from Ron Alfa (Noetik) on AI-native precision oncology
Pear Healthcare Playbook · Substack · 2026-06-30
Noetik CEO访谈。
Training transformers to solve cancer trial failure — Ron Alfa & Daniel Bear, Noetik
Latent Space · Latent Space podcast · 2026-04-20
Noetik肿瘤空间虚拟细胞模型TARIO-2与GSK合作。
Build the virtual cell with artificial intelligence: a perspective for cancer research.
Yang T, Wang YY, Ma F, Xu BH, Qian HL. · Military Medical Research · 2025-01-27
面向肿瘤研究的虚拟细胞评论（中国团队）。
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 · 2025-01-01
CZ CELLxGENE：超1亿细胞的数据平台（含胶质瘤数据集）。
常见问题
有针对脑肿瘤的 AI 虚拟细胞研究吗？
有，但仍处于早期且数量很少。例如：将 GBM 细胞状态与药物特征谱关联的 scFOCAL/ISOSCELES、预测 GBM 类器官替莫唑胺反应的 DELPHAI（预印本），以及蛋白组校准的 GBM 星形细胞机制性“数字孪生”（预印本）。GBM 体内 Perturb-seq 则提供了此类模型所需的配对扰动数据。 VC0132 VC0129（预印本） VC0071（预印本） VC0070
脊髓肿瘤有虚拟细胞研究吗？
目前未检索到。截至本轮整理，文献库中尚无针对脊髓髓内肿瘤（如室管膜瘤、星形细胞瘤）的单细胞图谱或虚拟细胞研究。GlioState 将其作为研究空白持续追踪。