Santucci Laura, Candiano Giovanni, Petretto Andrea, Bruschi Maurizio, Lavarello Chiara, Inglese Elvira, Righetti Pier Giorgio, Ghiggeri Gian Marco
Nephrology, Dialysis, Transplantation Unit and Laboratory on Pathophysiology of Uremia, Istituto Giannina Gaslini, 16148 Genova, Italy.
Laboratory of Mass Spectrometry, Core Facility, Istituto Giannina Gaslini, 16148 Genova, Italy.
J Proteomics. 2015 Jan 1;112:53-62. doi: 10.1016/j.jprot.2014.07.021. Epub 2014 Aug 12.
It is currently unknown how many proteins can be detected in urine. Improving the analytical approach would increase their number and potentially strengthen their predictive potential in diseases. We developed a combination of analytical procedures for maximizing sensitivity and reproducibility of normal human urinary proteome analysis based on ultracentrifugation, vesicles separation, combinatorial peptide ligand libraries (CPLL) and solvent removal of pigments. Proteins were identified by an Orbitrap Velos Mass Spectrometry. Overall, 3429 proteins were characterized: most components (1615) were contained in vesicles while the remaining 1794 were equally distributed among CPLL and butanol insoluble fractions. Several proteins were detected exclusively in one of the phases of the procedure, suggesting that each step is crucial in the fractionation strategy. Many (1724) proteins are described here whose presence in urine has never been reported and represents a potential source of information considering that urine is the unique site of excretion of products of interaction of metabolic processes. Improving the characterization of normal urinary proteome would also represent the basis for the analysis of urine biomarkers in human diseases.
Sub-fractionating normal urine by successive steps (vesicle separation, CPLL and solvent treatments) allowed the identification of 3429 proteins, a relevant part (1724) being detected for the first time in urine. Several proteins of new description have been implicated in physiology pathways and in pathologies thus representing a potential source of new information on both metabolic processes and diseases.
目前尚不清楚尿液中能检测到多少种蛋白质。改进分析方法将增加其数量,并有可能增强其在疾病中的预测潜力。我们开发了一种分析程序组合,基于超速离心、囊泡分离、组合肽配体库(CPLL)和去除色素的溶剂,以最大限度地提高正常人尿蛋白质组分析的灵敏度和重现性。通过轨道阱伏尔质谱仪鉴定蛋白质。总体而言,鉴定出了3429种蛋白质:大多数成分(1615种)存在于囊泡中,其余1794种在CPLL和丁醇不溶级分中均匀分布。有几种蛋白质仅在该程序的一个阶段中被检测到,这表明每个步骤在分级分离策略中都至关重要。这里描述了许多(1724种)蛋白质,其在尿液中的存在此前从未被报道过,鉴于尿液是代谢过程相互作用产物的唯一排泄部位,这代表了一个潜在的信息来源。改善正常尿蛋白质组的表征也将是分析人类疾病尿液生物标志物的基础。
通过连续步骤(囊泡分离、CPLL和溶剂处理)对正常尿液进行亚分级,能够鉴定出3429种蛋白质,其中相当一部分(1724种)是首次在尿液中被检测到。几种新描述的蛋白质与生理途径和病理学有关,因此代表了关于代谢过程和疾病的新信息的潜在来源。