生物
计算生物学
T细胞
免疫系统
过继性细胞移植
仿形(计算机编程)
癌症研究
免疫学
计算机科学
操作系统
作者
Adam L. Borne,Tao Huang,Rebecca L. McCloud,Boobalan Pachaiyappan,Timothy N. J. Bullock,Ku‐Lung Hsu
出处
期刊:Current Topics in Microbiology and Immunology
日期:2018-01-01
卷期号:: 175-210
被引量:3
摘要
As a major sentinel of adaptive immunity, T cells seek and destroy diseased cells using antigen recognition to achieve molecular specificity. Strategies to block checkpoint inhibition of T cell activity and thus reawaken the patient's antitumor immune responses are rapidly becoming standard of care for treatment of diverse cancers. Adoptive transfer of patient T cells genetically engineered with tumor-targeting capabilities is redefining the field of personalized medicines. The diverse opportunities for exploiting T cell biology in the clinic have prompted new efforts to expand the scope of targets amenable to immuno-oncology. Given the complex spatiotemporal regulation of T cell function and fate, new technologies capable of global molecular profiling in vivo are needed to guide selection of appropriate T cell targets and subsets. In this chapter, we describe the use of activity-based protein profiling (ABPP) to illuminate different aspects of T cell metabolism and signaling as fertile starting points for investigation. We highlight the merits of ABPP methods to enable target, inhibitor, and biochemical pathway discovery of T cells in the burgeoning field of immuno-oncology.
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