蛋白质组学
精密医学
计算生物学
生物
癌症
定量蛋白质组学
系统生物学
蛋白质组
生物信息学
肿瘤异质性
癌症医学
计算机科学
质量细胞仪
蛋白质表达
癌症生物标志物
个性化医疗
癌细胞
肿瘤细胞
癌症治疗
癌症治疗
数据科学
精确肿瘤学
作者
Yi Liu,Yingdong Du,Ran Su,Ruibing Chen
标识
DOI:10.20892/j.issn.2095-3941.2025.0464
摘要
The inherent heterogeneity of cancer leads to varied responses to treatment and underscores the need for the development of precision medicine. Single-cell proteomics is crucial for deciphering intra- and inter-tumor heterogeneity. Mass cytometry and other antibody-based technologies, which enable simultaneous quantification of >100 proteins per cell, have been widely applied in cancer studies. Concurrently, liquid chromatography-tandem mass spectrometry-based single-cell proteomics has dramatically improved protein coverage from approximately 1,000 to >6,500 proteins per cell, driven by enhanced sample preparation, instrumentation, and throughput. These high-throughput capabilities now empower large-scale, protein-level analyses, which have uncovered detailed maps of tumor heterogeneity. The resulting insights deepen our understanding of tumor biology and provide new opportunities for guiding precision cancer medicine.
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