Department of Chemical Engineering and Materials Science, Michigan State University, East Lansing, MI 48824-1226, USA.
Expert Rev Proteomics. 2009 Oct;6(5):573-83. doi: 10.1586/epr.09.74.
Proteomes of interest, such as the human proteome, have such complexity that no single technique is adequate for the complete analysis of the constituents. Depending on the goal (e.g., identification of a novel protein vs measurement of the level of a known protein), the tools required can vary significantly. While existing methods provide valuable information, their limitations drive the development of complementary, innovative methods to achieve greater breadth of coverage, dynamic range or specificity of analysis. We will discuss affinity-based methods and their applications, focusing on their unique advantages. In addition, we will describe emerging methods with potential value to proteomics, as well as the challenges that remain for proteomic studies.
感兴趣的蛋白质组,如人类蛋白质组,具有如此复杂的性质,以至于没有单一的技术可以完全分析其组成成分。具体取决于目标(例如,鉴定新蛋白质与测量已知蛋白质的水平),所需的工具可能会有很大的不同。虽然现有方法提供了有价值的信息,但它们的局限性促使人们开发互补的创新方法,以实现更广泛的覆盖范围、动态范围或分析特异性。我们将讨论基于亲和力的方法及其应用,重点介绍它们的独特优势。此外,我们还将描述具有潜在价值的新兴蛋白质组学方法,以及蛋白质组学研究中仍然存在的挑战。