蛋白质组学
蛋白质基因组学
计算生物学
基因组学
表观遗传学
生物标志物发现
生物信息学
组学
癌症
蛋白质组
个性化医疗
生物
基因组
遗传学
基因
基因表达
DNA甲基化
作者
Yoshimi Haga,Yuriko Minegishi,Koji Ueda
出处
期刊:Cancer Science
[Wiley]
日期:2023-02-01
卷期号:114 (5): 1783-1791
被引量:5
摘要
Numerous omics studies, primarily genomics analyses, have been conducted to fully understand the molecular biological characteristics of cancer. In recent years, the depth of proteomic analysis, which comprehensively analyzes proteins and molecules that function directly in vivo, has increased dramatically. Proteomics using mass spectrometry (MS) is a promising technology to directly examine proteoforms, including post-translational modifications and variants originating from genomic aberrations. Recent advances in MS-based proteomics have enabled direct, in depth, and quantitative analysis of the expression levels of various cancer-related proteins, as well as their cancer-specific proteoforms, and proteins that fluctuate with cancer initiation and progression in cell lines and tissue samples. Additionally, the integration of proteomic data with genomic, epigenomic, and transcriptomic data has formed the growing field of proteogenomics, which is already yielding new biological and diagnostic knowledge. Deep proteomic profiling provides clinically useful information in various aspects, including understanding the mechanisms of cancer development and progression and discovering targets for diagnosis and drug development. Furthermore, it is expected to make a significant contribution to the promotion of personalized medicine. In this review, recent advances and impacts in MS-based clinical proteomics are highlighted with a focus on oncology.
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