RT Journal Article
SR Electronic
T1 Surveying Brain Tumor Heterogeneity by Single-Cell RNA Sequencing of Multi-sector Biopsies
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2020.01.19.911701
DO 10.1101/2020.01.19.911701
A1 Kai Yu
A1 Yuqiong Hu
A1 Fan Wu
A1 Qiufang Guo
A1 Zenghui Qian
A1 Waner Hu
A1 Jing Chen
A1 Kuanyu Wang
A1 Xiaoying Fan
A1 Xinglong Wu
A1 John EJ Rasko
A1 Xiaolong Fan
A1 Antonio Iavarone
A1 Tao Jiang
A1 Fuchou Tang
A1 Xiao-Dong Su
YR 2020
UL http://biorxiv.org/content/early/2020/04/04/2020.01.19.911701.abstract
AB 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 multisector 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 CNVs 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 crosstalks between glioma cells and the surrounding microenvironment with single cell resolution.