蛋白质组
蛋白质组学
生物标志物发现
计算生物学
生物标志物
生物
仿形(计算机编程)
生物信息学
诊断生物标志物
数据科学
计算机科学
遗传学
基因
操作系统
作者
Philipp E. Geyer,Lesca M. Holdt,Daniel Teupser,Matthias Mann
标识
DOI:10.15252/msb.20156297
摘要
Abstract Clinical analysis of blood is the most widespread diagnostic procedure in medicine, and blood biomarkers are used to categorize patients and to support treatment decisions. However, existing biomarkers are far from comprehensive and often lack specificity and new ones are being developed at a very slow rate. As described in this review, mass spectrometry ( MS )‐based proteomics has become a powerful technology in biological research and it is now poised to allow the characterization of the plasma proteome in great depth. Previous “triangular strategies” aimed at discovering single biomarker candidates in small cohorts, followed by classical immunoassays in much larger validation cohorts. We propose a “rectangular” plasma proteome profiling strategy, in which the proteome patterns of large cohorts are correlated with their phenotypes in health and disease. Translating such concepts into clinical practice will require restructuring several aspects of diagnostic decision‐making, and we discuss some first steps in this direction.
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