计算生物学
背景(考古学)
基因组学
肿瘤异质性
癌症
肿瘤微环境
组学
生物
系统生物学
生物信息学
基因组
遗传学
基因
古生物学
作者
Sabrina M. Lewis,Marie-Liesse Asselin-Labat,Quan Nguyen,Jean Berthelet,Xiao Tan,Verena C. Wimmer,Delphine Mérino,Kelly L. Rogers,Shalin H. Naik
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2021-08-02
卷期号:18 (9): 997-1012
被引量:428
标识
DOI:10.1038/s41592-021-01203-6
摘要
Understanding intratumoral heterogeneity-the molecular variation among cells within a tumor-promises to address outstanding questions in cancer biology and improve the diagnosis and treatment of specific cancer subtypes. Single-cell analyses, especially RNA sequencing and other genomics modalities, have been transformative in revealing novel biomarkers and molecular regulators associated with tumor growth, metastasis and drug resistance. However, these approaches fail to provide a complete picture of tumor biology, as information on cellular location within the tumor microenvironment is lost. New technologies leveraging multiplexed fluorescence, DNA, RNA and isotope labeling enable the detection of tens to thousands of cancer subclones or molecular biomarkers within their native spatial context. The expeditious growth in these techniques, along with methods for multiomics data integration, promises to yield a more comprehensive understanding of cell-to-cell variation within and between individual tumors. Here we provide the current state and future perspectives on the spatial technologies expected to drive the next generation of research and diagnostic and therapeutic strategies for cancer.
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