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Single-cell RNA-sequencing reveals that glioblastoma recapitulates a normal neurodevetlopmental hierarchy

We discovered a conserved neural tri- lineage cancer hierarchy centered around glial progenitor-like cells. We also found that this progenitor population contains the majority of the cancer’s cycling cells, and, using RNA velocity, is often the originator of the other cell types. Finally, we show that this hierarchal map can be used to identify therapeutic targets specific to progenitor cancer stem cells. Our analyses show that normal brain development reconciles glioblastoma development, suggests a possible origin for glioblastoma hierarchy, and helps to identify cancer stem cell-specific targets.

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
EGAD00001006206 Illumina HiSeq 4000 25
Publications Citations
Single-cell RNA-seq reveals that glioblastoma recapitulates a normal neurodevelopmental hierarchy.
Nat Commun 11: 2020 3406
Analysis of Cellular Heterogeneity in Immune Microenvironment of Primary Central Nervous System Lymphoma by Single-Cell Sequencing.
Front Oncol 11: 2021 683007
Profiling Glioblastoma Cases with an Expression of DCX, OLIG2 and NES.
Int J Mol Sci 22: 2021 13217
Glioblastoma scRNA-seq shows treatment-induced, immune-dependent increase in mesenchymal cancer cells and structural variants in distal neural stem cells.
Neuro Oncol 24: 2022 1494-1508
A single-cell atlas of glioblastoma evolution under therapy reveals cell-intrinsic and cell-extrinsic therapeutic targets.
Nat Cancer 3: 2022 1534-1552
Glioblastoma heterogeneity at single cell resolution.
Oncogene 42: 2023 2155-2165