Whiteaker Jeffrey R, Zhang Heidi, Eng Jimmy K, Fang Ruihua, Piening Brian D, Feng Li-Chia, Lorentzen Travis D, Schoenherr Regine M, Keane John F, Holzman Ted, Fitzgibbon Matthew, Lin ChenWei, Zhang Hui, Cooke Kelly, Liu Tao, Camp David G, Anderson Leigh, Watts Julian, Smith Richard D, McIntosh Martin W, Paulovich Amanda G
Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., Seattle, WA 98109-1024, USA.
J Proteome Res. 2007 Feb;6(2):828-36. doi: 10.1021/pr0604920.
Multiple approaches for simplifying the serum proteome have been described. These techniques are generally developed across different laboratories, samples, mass spectrometry platforms, and analysis tools. Hence, comparing the available schemes is impossible from the existing literature because of confounding variables. We describe a head-to-head comparison of several serum fractionation schemes, including N-linked glycopeptide enrichment, cysteinyl-peptide enrichment, magnetic bead separation (C3, C8, and WCX), size fractionation, protein A/G depletion, and immunoaffinity column depletion of abundant serum proteins. Each technique was compared to results obtained from unfractionated human serum. The results show immunoaffinity subtraction is the most effective means for simplifying the serum proteome while maintaining reasonable sample throughput. The reported dataset is publicly available and provides a standard against which emergent technologies can be compared and evaluated for their contribution to serum-based biomarker discovery.
已经描述了多种简化血清蛋白质组的方法。这些技术通常是在不同的实验室、样本、质谱平台和分析工具上开发的。因此,由于存在混杂变量,从现有文献中无法比较现有的方案。我们描述了几种血清分级分离方案的直接比较,包括N-连接糖肽富集、半胱氨酸肽富集、磁珠分离(C3、C8和WCX)、尺寸分级分离、蛋白A/G去除以及免疫亲和柱去除丰富的血清蛋白。将每种技术与未分级的人血清获得的结果进行比较。结果表明,免疫亲和减法是简化血清蛋白质组同时保持合理样本通量的最有效方法。所报告的数据集是公开可用的,并提供了一个标准,据此可以比较和评估新兴技术对基于血清的生物标志物发现的贡献。