蛋白质组
精密医学
蛋白质基因组学
人类蛋白质组计划
转化医学
蛋白质表达
蛋白质组学
系统生物学
生物信息学
计算生物学
生物
数据科学
医学
计算机科学
基因组学
病理
基因组
遗传学
基因
作者
Ying Jiang,Jian Wang,Aihua Sun,Yew-Soon Ong,Xiaobo Yu,Weijie Qin,Wantao Ying,Yanchang Li,Cheng Chang,Xiaowen Wang,Linhai Xie,Wei Liu,Jialin Liu,Xiaomei Zhang,Qunjiao Yan,Yu Zou,Chuanping Zhao,Haofan Sun,Jian Zhang,Shicheng Su
摘要
ABSTRACT The concept of ‘proteomics-driven precision medicine’ highlighted in 2019 emphasized the potential of proteomics to transform precision medicine by offering deeper insights into dynamic biological processes. Since then, this field has seen remarkable advancements, interlinking with key pillars such as protein expression profiling, post-translational modifications, protein–protein interactions and spatial proteomics to transform healthcare. Technological progress has led to the creation of comprehensive reference maps of proteomes, identification of over 90% of human protein-coding genes, and detailed cellular and molecular landscapes within organs. Proteomics has significantly advanced health monitoring and disease surveillance by developing aging models, predicting disease risks with superior protein risk scores, identifying biomarkers for early conditions like dementia, and securing Food and Drug Administration (FDA) approval for multiple cancer biomarkers. By providing deeper insights into the proteome's complexity and dynamics, proteomics is revolutionizing our understanding, diagnosis and treatment of diseases, firmly establishing itself as a cornerstone of precision medicine.
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