药物发现
生物标志物发现
计算生物学
药物开发
多路复用
疾病
药品
生物标志物
计算机科学
生物信息学
生物
医学
制药工业
数据科学
药物重新定位
蛋白质组学
药理学
病理
遗传学
基因
作者
James R. Heath,Antoni Ribas,Paul S. Mischel
摘要
The genetic, functional or compositional heterogeneity of healthy and diseased tissues presents major challenges in drug discovery and development. Such heterogeneity hinders the design of accurate disease models and can confound the interpretation of biomarker levels and of patient responses to specific therapies. The complex nature of virtually all tissues has motivated the development of tools for single-cell genomic, transcriptomic and multiplex proteomic analyses. Here, we review these tools and assess their advantages and limitations. Emerging applications of single cell analysis tools in drug discovery and development, particularly in the field of oncology, are discussed.
科研通智能强力驱动
Strongly Powered by AbleSci AI