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Next-generation computational tools for interrogating cancer immunity.
Nature Reviews Genetics ( IF 42.7 ) Pub Date : 2019-09-12 , DOI: 10.1038/s41576-019-0166-7
Francesca Finotello 1 , Dietmar Rieder 1 , Hubert Hackl 1 , Zlatko Trajanoski 1
Affiliation  

The remarkable success of cancer therapies with immune checkpoint blockers is revolutionizing oncology and has sparked intensive basic and translational research into the mechanisms of cancer-immune cell interactions. In parallel, numerous novel cutting-edge technologies for comprehensive molecular and cellular characterization of cancer immunity have been developed, including single-cell sequencing, mass cytometry and multiplexed spatial cellular phenotyping. In order to process, analyse and visualize multidimensional data sets generated by these technologies, computational methods and software tools are required. Here, we review computational tools for interrogating cancer immunity, discuss advantages and limitations of the various methods and provide guidelines to assist in method selection.

中文翻译:

用于询问癌症免疫的下一代计算工具。

免疫检查点阻滞剂癌症治疗的显著成功正在彻底改变肿瘤学,并引发了对癌症-免疫细胞相互作用机制的深入基础和转化研究。与此同时,已经开发了许多用于癌症免疫综合分子和细胞表征的新型尖端技术,包括单细胞测序、质谱流式细胞术和多路复用空间细胞表型分析。为了处理、分析和可视化由这些技术生成的多维数据集,需要计算方法和软件工具。在这里,我们回顾了用于询问癌症免疫的计算工具,讨论了各种方法的优点和局限性,并提供了帮助选择方法的指南。
更新日期:2019-09-13
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