Single-cell RNA-seq reveals that glioblastoma recapitulates a normal neurodevelopmental hierarchy

Charles Couturier(Montreal Neurological Institute and Hospital), Shamini Ayyadhury(Montreal Neurological Institute and Hospital), Phuong Uyen Le(Montreal Neurological Institute and Hospital), Javad Nadaf(Montreal Neurological Institute and Hospital), Jean Monlong(McGill University), Gabriele Riva(Montreal Neurological Institute and Hospital), Redouane Allache(Montreal Neurological Institute and Hospital), Salma Baig(Montreal Neurological Institute and Hospital), Xiaohua Yan(Montreal Neurological Institute and Hospital), Mathieu Bourgey(McGill University and Génome Québec Innovation Centre), Changseok Lee(Montreal Neurological Institute and Hospital), Yu Chang David Wang(McGill University and Génome Québec Innovation Centre), V. Wee Yong(University of Calgary), Marie‐Christine Guiot(Montreal Neurological Institute and Hospital), Hamed S. Najafabadi(McGill University and Génome Québec Innovation Centre), Bratislav Mišić(Montreal Neurological Institute and Hospital), Jack P. Antel(Montreal Neurological Institute and Hospital), Guillaume Bourque(McGill University and Génome Québec Innovation Centre), Jiannis Ragoussis(McGill University and Génome Québec Innovation Centre), Kevin Petrecca(Montreal Neurological Institute and Hospital)
Nature Communications
July 8, 2020
Cited by 589Open Access
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Abstract

Cancer stem cells are critical for cancer initiation, development, and treatment resistance. Our understanding of these processes, and how they relate to glioblastoma heterogeneity, is limited. To overcome these limitations, we performed single-cell RNA sequencing on 53586 adult glioblastoma cells and 22637 normal human fetal brain cells, and compared the lineage hierarchy of the developing human brain to the transcriptome of cancer cells. We find a conserved neural tri-lineage cancer hierarchy centered around glial progenitor-like cells. We also find 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.


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