Key Laboratory of Cancer Proteomics of Chinese Ministry of Health, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, PR China; Hunan Engineering Laboratory for Structural Biology and Drug Design, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, PR China; State Local Joint Engineering Laboratory for Anticancer Drugs, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, PR China; The State Key Laboratory of Medical Genetics, Central South University, 88 Xiangya Road, Changsha, Hunan 410008, PR China.
Key Laboratory of Cancer Proteomics of Chinese Ministry of Health, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, PR China; Hunan Engineering Laboratory for Structural Biology and Drug Design, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, PR China; State Local Joint Engineering Laboratory for Anticancer Drugs, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, PR China.
J Proteomics. 2018 Sep 30;188:30-40. doi: 10.1016/j.jprot.2017.08.020. Epub 2017 Aug 26.
Genome mutually interacts with internal and external environmental factors to result in different phenome that contains two important elements of proteins and metabolites, which link genome to predictive, preventive and personalized medicine (PPPM) or precision medicine (PM). Proteomic variations are the final presentation of the genomic and transcriptomic variations, and are involved in a wide range of variations including copy number of protein, splicing, post-translational modifications, translocation/re-distribution, spatial conformation, and pathway-network systems. Metabolomic variations are the comprehensive results originated from all types of in vivo substances, and are involved in a wide range of alterations of metabolites generated from sugars, lipids, proteins, and nucleic acids, and metabolic network systems. Currently the studies on variations in proteome and in metabolome are much insufficient in the width and depth in the fields of proteomics and metabolomics. The development of high-throughput, high-sensitivity, and especially high-reproducibility approaches is necessary to maximize the coverage of variations in proteome and in metabolome. The studies of proteomic and metabolomic variations directly result in the discovery of effective biomarkers to clarify molecular mechanisms of a disease, determine reliable therapeutic targets, and benefit precise prediction, diagnosis, and prognosis assessment. It has more important scientific values in PPPM or PM. BIOLOGICAL SIGNIFICANCE.
基因组与内外环境因素相互作用,导致表型不同,其中包含蛋白质和代谢物这两个重要元素,将基因组与预测性、预防性和个体化医学(PPPM)或精准医学(PM)联系起来。蛋白质组学的变化是基因组和转录组变化的最终表现,涉及包括蛋白质拷贝数、剪接、翻译后修饰、转位/重新分布、空间构象和途径网络系统在内的广泛变化。代谢组学的变化是源自体内所有物质的综合结果,涉及到糖、脂类、蛋白质和核酸产生的代谢物以及代谢网络系统的广泛改变。目前,蛋白质组和代谢组学中对蛋白质组和代谢组变化的研究在蛋白质组学和代谢组学领域的广度和深度上都远远不够。有必要开发高通量、高灵敏度、特别是高重现性的方法,以最大限度地涵盖蛋白质组和代谢组的变化。蛋白质组学和代谢组学变化的研究直接导致有效生物标志物的发现,从而阐明疾病的分子机制,确定可靠的治疗靶点,并有利于精准预测、诊断和预后评估。它在 PPPM 或 PM 中具有更重要的科学价值。生物学意义。