Zhou Ming, Prieto DaRue A, Lucas David A, Chan King C, Issaq Haleem J, Veenstra Timothy D, Conrads Thomas P
Laboratory of Proteomics and Analytical Technologies, SAIC-Frederick, Inc., National Cancer Institute at Frederick, P.O. Box B, Frederick, Maryland 21702, USA.
J Proteome Res. 2006 Sep;5(9):2207-16. doi: 10.1021/pr060061h.
Surface-enhanced laser desorption/ionization (SELDI) time-of-flight (TOF) mass spectrometry (MS) has been widely applied for conducting biomarker research with the goal of discovering patterns of proteins and/or peptides from biological samples that reflect disease status. Many diseases, ranging from cancers of the colon, breast, and prostate to Alzheimer's disease, have been studied through serum protein profiling using SELDI-based methods. Although the results from SELDI-based diagnostic studies have generated a great deal of excitement and skepticism alike, the basis of the molecular identities of the features that underpin the diagnostic potential of the mass spectra is still largely unexplored. A detailed investigation has been undertaken to identify the compliment of serum proteins that bind to the commonly used weak cation exchange (WCX-2) SELDI protein chip. Following incubation and washing of a standard serum sample on the WCX-2 sorbent, proteins were harvested, digested with trypsin, fractionated by strong cation exchange liquid chromatography (LC), and subsequently analyzed by microcapillary reversed-phase LC coupled online with an ion-trap mass spectrometer. This analysis resulted in the identification of 383 unique proteins in the WCX-2 serum retentate. Among the proteins identified, 50 (13%) are documented clinical biomarkers with 36 of these (72%) identified from multiple peptides.
表面增强激光解吸/电离(SELDI)飞行时间(TOF)质谱(MS)已被广泛应用于生物标志物研究,目的是从反映疾病状态的生物样品中发现蛋白质和/或肽的模式。许多疾病,从结肠癌、乳腺癌和前列腺癌到阿尔茨海默病,都已通过基于SELDI的方法进行血清蛋白质谱分析来研究。尽管基于SELDI的诊断研究结果既引起了极大的兴奋,也引发了怀疑,但构成质谱诊断潜力基础的特征的分子身份基础仍在很大程度上未被探索。我们进行了详细的调查,以确定与常用的弱阳离子交换(WCX-2)SELDI蛋白质芯片结合的血清蛋白质成分。在WCX-2吸附剂上孵育并洗涤标准血清样品后,收获蛋白质,用胰蛋白酶消化,通过强阳离子交换液相色谱(LC)分离,随后通过与离子阱质谱仪在线联用的微毛细管反相LC进行分析。该分析导致在WCX-2血清保留物中鉴定出383种独特的蛋白质。在鉴定出的蛋白质中,50种(13%)是已记录的临床生物标志物,其中36种(72%)是从多个肽段鉴定出来的。