蛋白质组
蛋白质组学
癌细胞
癌症
计算生物学
蛋白质基因组学
系统生物学
生物信息学
生物
基因组学
生物化学
基因组
基因
遗传学
作者
P.V. Migisha Ntwali,Chae Eun Heo,Jong Yoon Han,Soo Yeon Chae,Minji Kim,Hung M. Vu,Min‐Sik Kim,Hugh I. Kim
标识
DOI:10.1016/j.trac.2020.116005
摘要
Mass spectrometry (MS)-based proteomics is becoming a widely used technique for proteome characterization. Remarkable improvements in the resolution and sensitivity of MS instruments have enabled MS to address an ever-increasing array of biological questions. Nevertheless, the intrinsic cellular heterogeneity of biological systems continues to be a hurdle in MS-based proteomics for cancer research. MS-based proteomics of 3D cellular models and single-cell systems are being used as an effective analysis technique to characterize cellular heterogeneity among cancer cells. Proteomic analysis of 3D cellular models and single-cell systems provides a correlation between cellular heterogeneity and patient-specific responses to chemotherapy drugs, leading to effective and less toxic cancer treatments. Here, we review the pioneering achievements in MS-based proteomic analysis of 3D cell models and single-cell systems. Additionally, we provide insights into the contribution of MS-based proteomics, from examining tumoroid and single-cell systems to the development of precision medicine for cancer treatment. • MS-based proteomics helps understand cancer diagnosis, prognosis, and pathogenesis. • Advances in MS technology and its contributions to proteome research are discussed. • Challenges faced by MS-based proteomics capturing cancer complexity are described. • Proteomics based treatment from 3D organoids may be more effective and less toxic. • Technical development in single-cell proteomics from cancer cells are discussed.
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