MES-like is one of four recurrent malignant cell states in glioblastoma described by Neftel et al. (2019). Studies in the library link transitions toward MES-like or mesenchymal programs to immune interactions, BRD2/NF-κB signalling and recurrence after therapy; no model in the library has been shown to simulate MES-like therapy response accurately.
NPC-like and OPC-like are two of the four malignant GBM states described by Neftel et al., resembling neural and oligodendrocyte progenitors. Related work describes a progenitor-centred neurodevelopmental hierarchy in GBM and OPC-like programs in H3K27M gliomas; links between these frameworks remain partly unresolved.
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
VC0050 Zero-shot evaluation reveals limitations of single-cell foundation models. — Kedzierska KZ, Crawford L, Amini AP, Lu AX., Genome biology, 2025
VC0092 · preprint 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