Journal
NATIONAL SCIENCE REVIEW
Volume 7, Issue 8, Pages 1306-1318Publisher
OXFORD UNIV PRESS
DOI: 10.1093/nsr/nwaa099
Keywords
glioma; heterogeneity; multi-sector biopsy; single-cell RNA-seq
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Funding
- National Key Research and Development Program of China [2016YFC0906000 [2016YFC0906001], 2018YFA0107601, 2017YFA0102702, 2016YFC0902500]
- biological medicine department, Beijing Municipal Science & Technology Commission [Z141100000214009, Z181100001318001]
- Postdoctoral Fellowship of Peking-Tsinghua Center for Life Sciences
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Brain tumors are among the most challenging human tumors for which themechanisms 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.
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