1. Single-cell RNA-seq reveals that glioblastoma recapitulates normal brain development
- Author
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Kevin Petrecca, Jiannis Ragoussis, Mathieu Bourgey, Shamini Ayyadhury, Jack P. Antel, Redouane Allache, Charles P. Couturier, Phuong Uyen Le, Salma Baig, Changseok Lee, Yong Vw, Marie-Christine Guiot, Bratislav Misic, Jean Monlong, Xiaohua Yan, Gabriele Riva, Wang Ycd, and Guillaume Bourque
- Subjects
education.field_of_study ,Cell ,Population ,Cancer ,Computational biology ,Human brain ,Biology ,medicine.disease ,Transcriptome ,medicine.anatomical_structure ,Cancer stem cell ,Cancer cell ,medicine ,education ,Progenitor - Abstract
SummaryCancer stem cells are critical for cancer initiation, development, and resistance to treatments. 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 38 296 glioblastoma cells and 22 637 normal human fetal brain cells. Using an unbiased approach, we mapped the lineage hierarchy of the developing human brain and compared the transcriptome of each cancer cell to this roadmap. We discovered a conserved neural trilineage cancer hierarchy with glial progenitor-like cells at the apex. We also found that this progenitor population contains the majority of cancer’s cycling cells and is the origin of heterogeneity. 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, unravels the origin of glioblastoma heterogeneity, and helps to identify cancer stem cell-specific targets.
- Published
- 2018
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