生物
计算生物学
转录组
药物发现
癌症
DNA条形码
神经科学
追踪
进化生物学
生物信息学
计算机科学
遗传学
基因
基因表达
操作系统
作者
Yuqing Wang,Xi Zhang,Zheng Wang
出处
期刊:Cancer Letters
[Elsevier]
日期:2023-07-01
卷期号:567: 216281-216281
被引量:4
标识
DOI:10.1016/j.canlet.2023.216281
摘要
Clonal evolution has gained immense attention in explaining cancer cell status, history, and fate during cancer progression. Current single-cell or spatial transcriptome technologies have broadened our understanding of various mechanisms underlying cancer initiation, relapse, and drug resistance. However, technical challenges still hinder a better understanding of the dynamics of distinctive phenotypic states and abnormal trajectories from normal physiological transition to malignant stages. Cellular barcoding enabled lineage tracing on parallelly massive cells at single-cell resolution through different mechanisms lately, enabling new insights into exploring developmental trajectories, cancer progression, and targeted therapies. This review summarizes the latest noteworthy and robust strategies for different types of cellular barcodes. To introduce the major characteristics, advantages and limitations of these different strategies, this review will further guide in choosing or improving cellular barcoding technologies and their applications in cancer research.
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