用于测量和建模癌症表型异质性的系统生物学方法。
Systems biology approaches to measure and model phenotypic heterogeneity in cancer.
作者信息
Meyer Aaron S, Heiser Laura M
机构信息
Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, USA.
Department of Biomedical Engineering and OHSU Center for Spatial Systems Biomedicine, OHSU, Portland, OR, USA.
出版信息
Curr Opin Syst Biol. 2019 Oct;17:35-40. doi: 10.1016/j.coisb.2019.09.002. Epub 2019 Sep 11.
The recent wide-spread adoption of single cell profiling technologies has revealed that individual cancers are not homogenous collections of deregulated cells, but instead are comprised of multiple genetically and phenotypically distinct cell subpopulations that exhibit a wide range of responses to extracellular signals and therapeutic insult. Such observations point to the urgent need to understand cancer as a complex, adaptive system. Cancer systems biology studies seek to develop the experimental and theoretical methods required to understand how biological components work together to determine how cancer cells function. Ultimately, such approaches will lead to improvements in how cancer is managed and treated. In this review, we discuss recent advances in cancer systems biology approaches to quantify, model, and elucidate mechanisms of heterogeneity.
近期单细胞分析技术的广泛应用表明，个体癌症并非是失调细胞的同质集合，而是由多个基因和表型上不同的细胞亚群组成，这些亚群对细胞外信号和治疗损伤表现出广泛的反应。这些观察结果表明迫切需要将癌症理解为一个复杂的自适应系统。癌症系统生物学研究旨在开发所需的实验和理论方法，以了解生物成分如何共同作用来决定癌细胞的功能。最终，这些方法将改善癌症的管理和治疗方式。在本综述中，我们讨论了癌症系统生物学方法在量化、建模和阐明异质性机制方面的最新进展。
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