Department of Pathophysiology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences/School of Basic Medicine, Peking Union Medical College, Beijing, China.
Department of Laboratory Medicine, Beijing Hospital, No.1 DaHua Road, Beijing, 100730, China.
Sci Rep. 2017 Jun 8;7(1):3024. doi: 10.1038/s41598-017-03226-6.
Biomarkers are measurable changes associated with the disease. Urine can reflect the changes of the body while blood is under control of the homeostatic mechanisms; thus, urine is considered an important source for early and sensitive disease biomarker discovery. A comprehensive profile of the urinary proteome will provide a basic understanding of urinary proteins. In this paper, we present an in-depth analysis of the urinary proteome based on different separation strategies, including direct one dimensional liquid chromatography-tandem mass spectrometry (LC/MS/MS), two dimensional LC/MS/MS, and gel-eluted liquid fraction entrapment electrophoresis/liquid-phase isoelectric focusing followed by two dimensional LC/MS/MS. A total of 6085 proteins were identified in healthy urine, of which 2001 were not reported in previous studies and the concentrations of 2571 proteins were estimated (spanning a magnitude of 10) with an intensity-based absolute quantification algorithm. The urinary proteins were annotated by their tissue distribution. Detailed information can be accessed at the "Human Urine Proteome Database" (www.urimarker.com/urine).
生物标志物是与疾病相关的可测量变化。尿液可以反映身体的变化，而血液受体内平衡机制的控制；因此，尿液被认为是发现早期和敏感疾病生物标志物的重要来源。全面的尿蛋白质组图谱将为了解尿蛋白质提供基础。在本文中，我们基于不同的分离策略，包括直接一维液相色谱-串联质谱 (LC/MS/MS)、二维 LC/MS/MS 和凝胶洗脱液馏分捕获电泳/液相等电聚焦后二维 LC/MS/MS，对尿蛋白质组进行了深入分析/MS。在健康尿液中鉴定出 6085 种蛋白质，其中 2001 种在以前的研究中没有报道，并用基于强度的绝对定量算法估计了 2571 种蛋白质的浓度（跨越 10 个数量级）。尿蛋白质按其组织分布进行注释。详细信息可在“人尿蛋白质组数据库”(www.urimarker.com/urine) 中获取。
