Suppr超能文献

基于毛细管电泳与质谱联用的肾病尿液蛋白质组学

Urinary proteomics based on capillary electrophoresis coupled to mass spectrometry in kidney disease.

作者信息

Albalat Amaya, Franke Julia, Gonzalez Julien, Mischak Harald, Zürbig Petra

机构信息

BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK.

出版信息

Methods Mol Biol. 2013;919:203-13. doi: 10.1007/978-1-62703-029-8_19.

Abstract

Urine is an excellent sample source in the proteomic study of diseases. It is available in large quantities, is relatively stable, is not contaminated by cells or lipids, and has shown to provide information not only on the organs in contact with the urinary tract but also of more remote organs and tissues. In addition to these qualities, it can be collected by untrained personnel. For these reasons, urinary proteomic studies have escalated in recent years with the aim of identifying biomarkers that could be use for diagnosis or to predict the outcome of renal pathologies. In this chapter, we present one of the analytical platforms that has been successfully used in a number of studies for the identification and validation of biomarkers in kidney diseases. This technique is capillary electrophoresis coupled online to an electrospray ionization time-of-flight mass spectrometer (CE-MS). This technology has proven to be highly reproducible, sensitive with a quick analysis time, important features when analytical platforms have to be used in a clinical setting.

摘要

尿液是疾病蛋白质组学研究中一种出色的样本来源。它产量丰富,相对稳定,不受细胞或脂质污染,并且已证明不仅能提供与尿路接触器官的信息,还能提供更远处器官和组织的信息。除了这些特性外,未经培训的人员也可采集尿液。由于这些原因,近年来尿液蛋白质组学研究不断增加,目的是识别可用于诊断或预测肾脏疾病预后的生物标志物。在本章中,我们介绍了一种分析平台,该平台已成功应用于多项研究,用于识别和验证肾脏疾病中的生物标志物。这项技术是毛细管电泳在线连接电喷雾电离飞行时间质谱仪(CE-MS)。这项技术已被证明具有高度可重复性、灵敏度高且分析时间短,这些都是在临床环境中使用分析平台时的重要特性。

相似文献

5
Biomarker discovery for kidney diseases by mass spectrometry.通过质谱法发现肾脏疾病的生物标志物。
J Chromatogr B Analyt Technol Biomed Life Sci. 2008 Jul 15;870(2):148-53. doi: 10.1016/j.jchromb.2007.10.035. Epub 2007 Nov 1.
8
Clinical application of urinary proteomics/peptidomics.尿蛋白质组学/肽组学的临床应用。
Expert Rev Proteomics. 2011 Oct;8(5):615-29. doi: 10.1586/epr.11.46.
9

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验