遗传异质性
生物
转录组
背景(考古学)
类有机物
外显子组
计算生物学
细胞培养
癌症研究
外植体培养
基因组
基因表达谱
基因
遗传学
表型
基因表达
外显子组测序
体外
古生物学
作者
Véronique G. LeBlanc,Diane L. Trinh,Shaghayegh Aslanpour,Martha Hughes,Dorothea Livingstone,Dan Jin,Bo Young Ahn,Michael Blough,J. Gregory Cairncross,Jennifer A. Chan,John J. Kelly,Marco A. Marra
出处
期刊:Cancer Cell
[Elsevier]
日期:2022-03-17
卷期号:40 (4): 379-392.e9
被引量:91
标识
DOI:10.1016/j.ccell.2022.02.016
摘要
Glioblastomas (GBMs) are aggressive brain tumors characterized by extensive inter- and intratumor heterogeneity. Patient-derived models, such as organoids and explants, have recently emerged as useful models to study such heterogeneity, although the extent to which they can recapitulate GBM genomic features remains unclear. Here, we analyze bulk exome and single-cell genome and transcriptome profiles of 12 IDH wild-type GBMs, including two recurrent tumors, and of patient-derived explants (PDEs) and gliomasphere (GS) lines derived from these tumors. We find that PDEs are genetically similar to, and variably retain gene expression characteristics of, their parent tumors. Notably, PDEs appear to exhibit similar levels of transcriptional heterogeneity compared with their parent tumors, whereas GS lines tend to be enriched for cells in a more uniform transcriptional state. The approaches and datasets introduced here will provide a valuable resource to help guide experiments using GBM-derived models, especially in the context of studying cellular heterogeneity.
科研通智能强力驱动
Strongly Powered by AbleSci AI