Gilbert Kate, Figueredo Sharel, Meng Xiao-Ying, Yip Christine, Fung Eric T
Ciphergen Biosystems, Inc, Fremont, CA, USA.
Methods Mol Biol. 2004;264:259-69. doi: 10.1385/1-59259-759-9:259.
Protein-expression profiling of serum is a common approach to the discovery of potential diagnostic and therapeutic markers of disease. Like any other proteome, the serum proteome is characterized by protein expression across a large dynamic range. This single facet requires the employment of fractionation procedures prior to detection of protein. The authors use a combination of conventional column chromatography with array-based chromatography to simplify the serum proteome into subproteomes, thus providing a greater representation of the serum proteome. Robotics is employed to increase the throughput of sample processing. These procedures result in large amounts of data that are analyzed through a series of preprocessing and postprocessing steps. A well-designed serum profiling project can therefore result in the discovery of statistically sound, clinically meaningful protein biomarkers.
血清蛋白质表达谱分析是发现疾病潜在诊断和治疗标志物的常用方法。与任何其他蛋白质组一样,血清蛋白质组的特点是蛋白质表达跨越很大的动态范围。这一单一特性要求在检测蛋白质之前采用分级分离程序。作者将传统柱色谱法与基于阵列的色谱法相结合,将血清蛋白质组简化为亚蛋白质组,从而更全面地呈现血清蛋白质组。采用机器人技术提高样品处理的通量。这些程序产生大量数据,通过一系列预处理和后处理步骤进行分析。因此,一个精心设计的血清谱分析项目可以发现具有统计学意义、临床意义的蛋白质生物标志物。