Echan Lynn A, Tang Hsin-Yao, Ali-Khan Nadeem, Lee KiBeom, Speicher David W
The Wistar Institute, Philadelphia, PA 19104, USA.
Proteomics. 2005 Aug;5(13):3292-303. doi: 10.1002/pmic.200401228.
Systematic detection of low-abundance proteins in human blood that may be putative disease biomarkers is complicated by an extremely wide range of protein abundances. Hence, depletion of major proteins is one potential strategy for enhancing detection sensitivity in serum or plasma. This study compared a recently commercialized HPLC column containing antibodies to six of the most abundant blood proteins ("Top-6 depletion") with either older Cibacron blue/Protein A or G depletion methods or no depletion. In addition, a prototype spin column version of the HPLC column and an alternative prototype two antibody spin column were evaluated. The HPLC polyclonal antibody column and its spin column version are very promising methods for substantially simplifying human serum or plasma samples. These columns show the lowest nonspecific binding of the depletion methods tested. In contrast other affinity methods, particularly dye-based resins, yielded many proteins in the bound fractions in addition to the targeted proteins. Depletion of six abundant proteins removed about 85% of the total protein from human serum or plasma, and this enabled 10- to 20-fold higher amounts of depleted serum or plasma samples to be applied to 2-D gels or alternative protein profiling methods such as protein array pixelation. However, the number of new spots detected on 2-D gels was modest, and most newly visualized spots were minor forms of relatively abundant proteins. The inability to detect low-abundance proteins near expected 2-D staining limits was probably due to both the highly heterogeneous nature of most plasma or serum proteins and masking of many low-abundance proteins by the next series of most abundant proteins. Hence, non2-D methods such as protein array pixelation are more promising strategies for detecting lower abundance proteins after depleting the six abundant proteins.
由于蛋白质丰度范围极广,系统检测人血液中可能作为潜在疾病生物标志物的低丰度蛋白质变得复杂。因此,去除主要蛋白质是提高血清或血浆检测灵敏度的一种潜在策略。本研究将一种最近商业化的含有针对六种最丰富血液蛋白质的抗体的HPLC柱(“Top-6去除”)与较旧的汽巴蓝/蛋白A或G去除方法或不进行去除进行了比较。此外,还评估了HPLC柱的原型旋转柱版本和另一种原型双抗体旋转柱。HPLC多克隆抗体柱及其旋转柱版本是大幅简化人血清或血浆样本的非常有前景的方法。这些柱在所测试的去除方法中显示出最低的非特异性结合。相比之下,其他亲和方法,特别是基于染料的树脂,除了目标蛋白质外,在结合部分还产生了许多蛋白质。去除六种丰富蛋白质可从人血清或血浆中去除约85%的总蛋白质,这使得能够将多10至20倍量的去除血清或血浆样本应用于二维凝胶或其他蛋白质分析方法,如蛋白质阵列像素化。然而,在二维凝胶上检测到的新斑点数量不多,并且大多数新可视化的斑点是相对丰富蛋白质的次要形式。无法在预期的二维染色极限附近检测到低丰度蛋白质可能是由于大多数血浆或血清蛋白质的高度异质性以及许多低丰度蛋白质被下一组最丰富的蛋白质掩盖。因此,在去除六种丰富蛋白质后,非二维方法如蛋白质阵列像素化是检测较低丰度蛋白质更有前景的策略。