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技术和计算的进步推动高通量肿瘤学的发展。

Technological and computational advances driving high-throughput oncology.

机构信息

Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland; European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.

出版信息

Trends Cell Biol. 2022 Nov;32(11):947-961. doi: 10.1016/j.tcb.2022.04.008. Epub 2022 May 13.

Abstract

Engineering and computational advances have opened many new avenues in cancer research, particularly when being exploited in interdisciplinary approaches. For example, the combination of microfluidics, novel sequencing technologies, and computational analyses has been crucial to enable single-cell assays, giving a detailed picture of tumor heterogeneity for the very first time. In a similar way, these 'tech' disciplines have been elementary for generating large data sets in multidimensional cancer 'omics' approaches, cell-cell interaction screens, 3D tumor models, and tissue level analyses. In this review we summarize the most important technology and computational developments that have been or will be instrumental for transitioning classical cancer research to a large data-driven, high-throughput, high-content discipline across all biological scales.

摘要

工程和计算方面的进步为癌症研究开辟了许多新途径,特别是在跨学科方法中得到了充分利用。例如,微流控、新型测序技术和计算分析的结合对于实现单细胞分析至关重要,这使得肿瘤异质性的详细情况首次得到了描绘。同样,这些“技术”学科对于在多维癌症“组学”方法、细胞-细胞相互作用筛选、3D 肿瘤模型和组织水平分析中生成大数据集也是必不可少的。在这篇综述中,我们总结了最重要的技术和计算进展,这些进展对于将经典的癌症研究转变为一种在所有生物学尺度上都具有大数据驱动、高通量、高内涵的学科是至关重要的。

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