Department of Chemistry, Sogang University, Seoul, 121-742, Korea.
J Am Soc Mass Spectrom. 2011 Mar;22(3):582-90. doi: 10.1007/s13361-010-0047-y. Epub 2011 Jan 28.
The structural characterization of glycosaminoglycan (GAG) carbohydrates by mass spectrometry has been a long-standing analytical challenge due to the inherent heterogeneity of these biomolecules, specifically polydispersity, variability in sulfation, and hexuronic acid stereochemistry. Recent advances in tandem mass spectrometry methods employing threshold and electron-based ion activation have resulted in the ability to determine the location of the labile sulfate modification as well as assign the stereochemistry of hexuronic acid residues. To facilitate the analysis of complex electron detachment dissociation (EDD) spectra, principal component analysis (PCA) is employed to differentiate the hexuronic acid stereochemistry of four synthetic GAG epimers whose EDD spectra are nearly identical upon visual inspection. For comparison, PCA is also applied to infrared multiphoton dissociation spectra (IRMPD) of the examined epimers. To assess the applicability of multivariate methods in GAG mixture analysis, PCA is utilized to identify the relative content of two epimers in a binary mixture.
由于这些生物分子的固有异质性,特别是多分散性、硫酸化的可变性以及己糖醛酸立体化学,糖胺聚糖 (GAG) 碳水化合物的结构特征通过质谱分析一直是一个长期存在的分析挑战。最近,采用阈值和基于电子的离子激活的串联质谱方法的进步,使得确定不稳定硫酸化修饰的位置以及分配己糖醛酸残基的立体化学成为可能。为了便于分析复杂的电子脱附解离 (EDD) 光谱,主成分分析 (PCA) 用于区分四种合成 GAG 差向异构体的己糖醛酸立体化学,其 EDD 光谱在视觉检查时几乎完全相同。作为比较,PCA 也应用于所检查的差向异构体的红外多光子解离光谱 (IRMPD)。为了评估多元方法在 GAG 混合物分析中的适用性,利用 PCA 来确定二元混合物中两种差向异构体的相对含量。