将表型与基因型联系起来的单细胞技术的进展。

Cancer heterogeneity and plasticity Pub Date : 2024-01-01 Epub Date: 2024-07-25 DOI:10.47248/chp2401010004
Hsiao-Chun Chen, Yushu Ma, Jinxiong Cheng, Yu-Chih Chen
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引用次数: 0

摘要

单细胞分析已成为现代生物学研究的重要工具,可为细胞行为和异质性提供前所未有的洞察力。通过研究单个细胞,这种方法超越了传统的基于群体的方法,揭示了细胞状态的关键变化、对环境线索的反应以及分子特征。癌症的细胞群多种多样,因此单细胞分析对于研究肿瘤的进化、转移和耐药性至关重要。在单细胞水平上理解表型与基因型的关系,对于破译驱动肿瘤发生和发展的分子机制至关重要。本综述重点介绍了根据所需表型进行选择性细胞分离的创新策略,包括机器人抽吸、激光分离、微筏阵列、光学陷阱和基于液滴的微流控系统。这些先进的工具有助于进行高通量单细胞表型分析和分选,从而实现特定细胞亚群的鉴定和表征,推动癌症和其他疾病的治疗创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advances in Single-Cell Techniques for Linking Phenotypes to Genotypes.

Single-cell analysis has become an essential tool in modern biological research, providing unprecedented insights into cellular behavior and heterogeneity. By examining individual cells, this approach surpasses conventional population-based methods, revealing critical variations in cellular states, responses to environmental cues, and molecular signatures. In the context of cancer, with its diverse cell populations, single-cell analysis is critical for investigating tumor evolution, metastasis, and therapy resistance. Understanding the phenotype-genotype relationship at the single-cell level is crucial for deciphering the molecular mechanisms driving tumor development and progression. This review highlights innovative strategies for selective cell isolation based on desired phenotypes, including robotic aspiration, laser detachment, microraft arrays, optical traps, and droplet-based microfluidic systems. These advanced tools facilitate high-throughput single-cell phenotypic analysis and sorting, enabling the identification and characterization of specific cell subsets, thereby advancing therapeutic innovations in cancer and other diseases.

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