Veenstra Timothy D
SAIC-Frederick Inc., National Cancer Institute at Frederick, P.O. Box B, Frederick, MD 21702, United States.
J Chromatogr B Analyt Technol Biomed Life Sci. 2007 Feb 15;847(1):3-11. doi: 10.1016/j.jchromb.2006.09.004. Epub 2006 Oct 4.
The extraordinary developments made in proteomic technologies in the past decade have enabled investigators to consider designing studies to search for diagnostic and therapeutic biomarkers by scanning complex proteome samples using unbiased methods. The major technology driving these studies is mass spectrometry (MS). The basic premises of most biomarker discovery studies is to use the high data-gathering capabilities of MS to compare biological samples obtained from healthy and disease-afflicted patients and identify proteins that are differentially abundant between the two specimen. To meet the need to compare the abundance of proteins in different samples, a number of quantitative approaches have been developed. In this article, many of these will be described with an emphasis on their advantageous and disadvantageous for the discovery of clinically useful biomarkers.
在过去十年中,蛋白质组学技术取得了非凡的进展,这使得研究人员能够考虑设计研究,通过使用无偏方法扫描复杂的蛋白质组样本,来寻找诊断和治疗生物标志物。推动这些研究的主要技术是质谱(MS)。大多数生物标志物发现研究的基本前提是利用质谱的高数据收集能力,比较从健康患者和患病患者获得的生物样本,并识别两种样本之间丰度差异的蛋白质。为了满足比较不同样本中蛋白质丰度的需求,已经开发了许多定量方法。在本文中,将描述其中的许多方法,并重点介绍它们在发现临床有用生物标志物方面的优缺点。