A facile strategy for comprehensive proteome analysis of urine using ultracentrifugation fractionation, solid-phase alkylation based sample preparation and liquid chromatography-mass spectrometry

Xinxin Liu , Mengchun Cheng , Zhigang Sui , Hongli Lin , Nan Wang , Xianan Guo , Huiming Yuan , Lihua Zhang , Yukui Zhang
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Abstract

In this work, a facile strategy with combination of ultracentrifugation fraction, solid-phase alkylation sample preparation and liquid chromatography-mass spectrometry (LC-MS) was developed to achieve comprehensive proteome profiling of urine (CPU). By this strategy, a total of 1659 proteins could be identified using a short LC gradient of 1h, 2.3 times more than those (730) obtained from raw urine without fractionation. Compared to the current existing methods for urine sample preparation, not only the analysis time could be greatly shortened by 3–4 times, but also the identification coverage of urine proteome was increased by 130%–160%. Such a method was further combined with label-free quantification for the comparative proteome analysis of urine from IgA nephropathy (IgAN) patients and healthy donors, 227 differentially expressed proteins were identified. In addition to 90 proteins that were reported to be closely related to IgAN, we found that multiple members of solute carrier family 22 (SLC22) were up-regulated in IgAN, which might be related to the disturbance of renal metabolic function in patients. All these results demonstrated that our developed method would provide a promising tool for discovering disease related biomarkers in urine.

使用超离心分离、固相烷基化样品制备和液相色谱-质谱法对尿液进行综合蛋白质组分析的简便策略
在这项工作中,建立了一种简单的策略,结合超离心馏分,固相烷基化样品制备和液相色谱-质谱(LC-MS)来实现尿液(CPU)的全面蛋白质组分析。通过这种策略,使用短的LC梯度(~ 1h)可以鉴定出总共1659种蛋白质,比未经分离的原始尿液(730种)多2.3倍。与现有的尿液样品制备方法相比,不仅分析时间可大大缩短3-4倍,而且尿液蛋白质组的鉴定覆盖率提高了130%-160%。进一步将该方法与无标记定量相结合,对IgA肾病(IgAN)患者与健康供者尿液进行蛋白质组比较分析,鉴定出227种差异表达蛋白。除了已报道的与IgAN密切相关的90个蛋白外,我们还发现在IgAN中有多个溶质载体家族22 (SLC22)成员上调,这可能与患者肾代谢功能紊乱有关。所有这些结果表明,我们开发的方法将为发现尿液中与疾病相关的生物标志物提供一个有前途的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Urine (Amsterdam, Netherlands)
Urine (Amsterdam, Netherlands) Health Informatics, Pathology and Medical Technology, Urology
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99 days
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