Virginia Bioinformatics Institute and Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
Electrophoresis. 2011 Jan;32(1):14-29. doi: 10.1002/elps.201000394. Epub 2010 Nov 25.
Recent developments in bioanalytical instrumentation, MS detection, and computational data analysis approaches have provided researchers with capabilities for interrogating the complex cellular glycoproteome, to help gain a better insight into the cellular and physiological processes that are associated with a disease and to facilitate the efforts centered on identifying disease-specific biomarkers. This review describes the progress achieved in the characterization of protein glycosylation by using advanced capillary and microfluidic MS technologies. The major steps involved in large-scale glycoproteomic analysis approaches are discussed, with special emphasis given to workflows that have evolved around complex MS detection functions. In addition, quantitative analysis strategies are assessed, and the bioinformatics aspects of glycoproteomic data processing are summarized. The developments in commercial and custom fabricated microfluidic front-end platforms to ESI- and MALDI-MS instrumentation, for addressing major challenges in carbohydrate analysis such as sensitivity, throughput, and ability to perform structural characterization, are further evaluated and illustrated with relevant examples.
近年来,生物分析仪器、MS 检测和计算数据分析方法的发展为研究人员提供了研究复杂细胞糖蛋白组的能力,有助于深入了解与疾病相关的细胞和生理过程,并促进以识别疾病特异性生物标志物为中心的努力。本文综述了利用先进的毛细管和微流控 MS 技术对蛋白质糖基化进行表征的进展。讨论了大规模糖蛋白质组分析方法中涉及的主要步骤,并特别强调了围绕复杂 MS 检测功能发展的工作流程。此外,还评估了定量分析策略,并总结了糖蛋白质组数据处理的生物信息学方面。进一步评估了用于解决碳水化合物分析中的主要挑战(如灵敏度、通量和进行结构表征的能力)的商业和定制制造的微流控前端平台与 ESI 和 MALDI-MS 仪器之间的发展,并通过相关示例进行了说明。