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Surveying brain tumor heterogeneity by single-cell RNA-sequencing of multi-sector biopsies.
- Source :
- National Science Review; Aug2020, Vol. 7 Issue 8, p1306-1318, 13p
- Publication Year :
- 2020
-
Abstract
- Brain tumors are among the most challenging human tumors for which the mechanisms driving progression and heterogeneity remain poorly understood. We combined single-cell RNA-seq with multi-sector biopsies to sample and analyze single-cell expression profiles of gliomas from 13 Chinese patients. After classifying individual cells, we generated a spatial and temporal landscape of glioma that revealed the patterns of invasion between the different sub-regions of gliomas. We also used single-cell inferred copy number variations and pseudotime trajectories to inform on the crucial branches that dominate tumor progression. The dynamic cell components of the multi-region biopsy analysis allowed us to spatially deconvolute with unprecedented accuracy the transcriptomic features of the core and those of the periphery of glioma at single-cell level. Through this rich and geographically detailed dataset, we were also able to characterize and construct the chemokine and chemokine receptor interactions that exist among different tumor and non-tumor cells. This study provides the first spatial-level analysis of the cellular states that characterize human gliomas. It also presents an initial molecular map of the cross-talks between glioma cells and the surrounding microenvironment with single-cell resolution. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20955138
- Volume :
- 7
- Issue :
- 8
- Database :
- Complementary Index
- Journal :
- National Science Review
- Publication Type :
- Academic Journal
- Accession number :
- 145338225
- Full Text :
- https://doi.org/10.1093/nsr/nwaa099