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

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

Full text not available from this repository.
Item Type: Article
Status: Published
Official URL: https://doi.org/10.1093/nsr%2Fnwaa099
Journal or Publication Title: National Science Review
Volume: 7
Number: 8
Page Range: pp. 1306-1318
Date: 2020
Divisions: Gene and Stem Cell Therapy
Depositing User: General Admin
Identification Number: 10.1093/nsr/nwaa099
ISSN: 2095-5138
Date Deposited: 04 Jan 2021 02:46
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.

Creators:
Creators
Email
Yu, Kai
UNSPECIFIED
Hu, Yuqiong
UNSPECIFIED
Wu, Fan
UNSPECIFIED
Guo, Qiufang
UNSPECIFIED
Qian, Zenghui
UNSPECIFIED
Hu, Waner
UNSPECIFIED
Chen, Jing
UNSPECIFIED
Wang, Kuanyu
UNSPECIFIED
Fan, Xiaoying
UNSPECIFIED
Wu, Xinglong
UNSPECIFIED
Rasko, John EJ
UNSPECIFIED
Fan, Xiaolong
UNSPECIFIED
Iavarone, Antonio
UNSPECIFIED
Jiang, Tao
UNSPECIFIED
Tang, Fuchou
UNSPECIFIED
Su, Xiao-Dong
UNSPECIFIED
Last Modified: 04 Jan 2021 02:46
URI: https://eprints.centenary.org.au/id/eprint/766

Actions (login required)

View Item View Item