Mass spectrometry for the detection of differentially expressed proteins: a comparison of surface-enhanced laser desorption/ionization and capillary electrophoresis/mass spectrometry
Mass spectrometry for the detection of differentially expressed proteins: a comparison of surface-enhanced laser desorption/ionization and capillary electrophoresis/mass spectrometry
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DOI：
10.1002/rcm.1294
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发表时间：
2004-01-01
影响因子：
2
通讯作者：
Mischak, H
中科院分区：
文献类型：
--
作者：
Neuhoff, NV;Kaiser, T;Mischak, H
生物标志物的发现目前引起了人们的极大兴趣，因为它在人类疾病的诊断和监测方面蕴藏着巨大的潜力。本文利用表面增强激光解吸电离(SELDI-MS)和毛细管电泳质谱(CE/MS)两种先进的质谱学技术，获得了膜性肾小球肾炎(MGN)患者和健康志愿者的尿液蛋白质组图谱。结果表明，CE/MS分析能够以较高的分辨率和较高的质量准确度显示丰富复杂的多肽图谱。为了分析这些模式，开发了MosaiqueVisu软件，用于峰值识别、反卷积和以三维格式显示精细化的地图。用SELDI-MS从相同的样品中获得的多肽图谱要稀疏得多，并且显示出较低的分辨率和质量准确度。SELDI-MS图谱进一步严重依赖于分析物浓度。SELDI-MS分析确定了三种差异表达的多肽，它们是区分健康献血者和MGN患者的潜在生物标志物。相比之下，CE/MS可以识别大约200个潜在的生物标志物。因此，虽然SELDI-MS易于使用且只需要很少的样本，但CE/MS产生的数据集要丰富得多，从而能够进行深入分析。版权所有(C)2003 John Wiley Sons，Ltd.
The discovery of biomarkers is currently attracting much interest as it harbors great potential for the diagnosis and monitoring of human diseases. Here we have used two advanced mass spectroscopy based technologies, surface enhanced laser desorption ionization (SELDI-MS) and capillary electrophoresis/mass spectrometry (CE/MS), to obtain proteomic patterns of urine samples from patients suffering from membranous glomerulonephritis (MGN) and healthy volunteers. The results indicate that CE/MS analysis is able to display a rich and complex pattern of polypeptides with high resolution and high mass accuracy. In order to analyze these patterns, the MosaiqueVisu software was developed for peak identification, deconvolution and the display of refined maps in a three-dimensional format. The polypeptide profiles obtained with SELDI-MS from the same samples are much sparser and show lower resolution and mass accuracy. The SELDI-MS profiles are further heavily dependent on analyte concentration. SELDI-MS analysis identified three differentially expressed polypeptides, which are potential biomarkers that can distinguish healthy donors from patients with MGN. In contrast, approximately 200 potential biomarkers could be identified by CE/MS. Thus, while SELDI-MS is easy to use and requires very little sample, CE/MS generates much richer data sets that enable an in-depth analysis. Copyright (C) 2003 John Wiley Sons, Ltd.