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Single cell RNA-sequencing of GSCs and GBM tumours

Characterization of glioblastoma tumors and glioblastoma stem cell (GSCs) lines with single cell or single nuclei RNA-sequencing.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001006802 Illumina HiSeq 2500 10
EGAD00001006803 Illumina HiSeq 2500 23
EGAD00001006804 Illumina HiSeq 2500 29
Publications Citations
A brain precursor atlas reveals the acquisition of developmental-like states in adult cerebral tumours.
Nat Commun 13: 2022 4178
23
Glioblastoma heterogeneity at single cell resolution.
Oncogene 42: 2023 2155-2165
97
Spatially resolved transcriptomic profiles reveal unique defining molecular features of infiltrative 5ALA-metabolizing cells associated with glioblastoma recurrence.
Genome Med 15: 2023 48
22
Mapping chromatin remodelling in glioblastoma identifies epigenetic regulation of key molecular pathways and novel druggable targets.
BMC Biol 23: 2025 26
4
Large-scale bulk and single-cell RNA sequencing combined with machine learning reveals glioblastoma-associated neutrophil heterogeneity and establishes a VEGFA<sup>+</sup> neutrophil prognostic model.
Biol Direct 20: 2025 45
4
Charting the Single-Cell and Spatial Landscape of IDH-Wildtype Glioblastoma with GBmap.
Neuro Oncol 27: 2025 2281-2295
7
Integrating Machine Learning and Multi-Omics to Explore Neutrophil Heterogeneity.
Biomedicines 13: 2025 2171
0
Machine learning-enhanced discovery of a basement membrane-related gene signature in glioblastoma via single-cell and Spatial transcriptomics.
J Transl Med 23: 2025 1325
0