Surveying brain tumor heterogeneity by single-cell RNA-sequencing of multi-sector biopsies.

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 tho

SUBMITTER: Yu K 

PROVIDER: S-EPMC8289159 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature