Tang Hsin-Yao, Beer Lynn A, Speicher David W
Molecular and Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, PA, USA.
Methods Mol Biol. 2011;728:47-67. doi: 10.1007/978-1-61779-068-3_3.
Comprehensive proteomic analysis of human plasma or serum has been a major strategy used to identify biomarkers that serve as indicators of disease. However, such in-depth proteomic analyses are challenging due to the complexity and extremely large dynamic range of protein concentrations in plasma. Therefore, reduction in sample complexity through multidimensional pre-fractionation strategies is critical, particularly for the detection of low-abundance proteins that have the potential to be the most specific disease biomarkers. We describe here a 4D protein profiling method that we developed for comprehensive proteomic analyses of both plasma and serum. Our method consists of abundant protein depletion coupled with separation strategies - microscale solution isoelectrofocusing and 1D SDS-PAGE - followed by reversed-phase separation of tryptic peptides prior to LC-MS/MS. Using this profiling strategy, we routinely identify a large number of proteins over nine orders of magnitude, including a substantial number of proteins at the low ng/mL or lower levels from approximately 300 μL of plasma sample.
对人血浆或血清进行全面的蛋白质组分析一直是用于识别作为疾病指标的生物标志物的主要策略。然而,由于血浆中蛋白质浓度的复杂性和极大的动态范围,这种深入的蛋白质组分析具有挑战性。因此,通过多维预分级策略降低样品复杂性至关重要,特别是对于检测可能是最具特异性疾病生物标志物的低丰度蛋白质。我们在此描述一种我们开发的用于血浆和血清全面蛋白质组分析的4D蛋白质谱分析方法。我们的方法包括去除丰富蛋白质并结合分离策略——微尺度溶液等电聚焦和一维SDS-PAGE——然后在LC-MS/MS之前对胰蛋白酶肽进行反相分离。使用这种谱分析策略,我们通常能识别出九个数量级以上的大量蛋白质,包括从约300μL血浆样品中检测出大量低至ng/mL或更低水平的蛋白质。