Froesch Martin, Bindila Laura, Zamfir Alina, Peter-Katalinić Jasna
Institute for Medical Physics and Biophysics, University of Münster, Münster, Germany.
Rapid Commun Mass Spectrom. 2003;17(24):2822-32. doi: 10.1002/rcm.1273.
A strategy based on Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) for screening of complex glycoconjugate mixtures containing O-linked glycopeptides and O-glycosylated amino acids with alpha-N-acetylgalactosaminyl residues is presented. To detect and identify O-glycoforms present in urine of patients suffering from hereditary N-acetylhexosaminidase deficiency (known as Schindler's disease), present at 100 times higher concentrations than in urine of healthy controls, new accurate methods for mapping and sequencing were required. In the mass spectrometric analysis particular attention has to be paid to original sialylation patterns, because of the potential lability of the sialic acid moiety during the desorption/ionization process. Negative ion nanoelectrospray ionization (nanoESI) FTICR-MS at 9.4 T is shown here to represent a method of choice for identification of single components in such complex glycomixtures due to high resolution and mass accuracy. By optimization of sustained off-resonance irradiation collision-induced dissociation tandem mass spectrometry (SORI-CID-MS(2)) in the negative ion mode, the type and sequence of the sialylated glycopeptide components were determined from their fragmentation patterns. Additionally, implementation of SORI-CID-MS(3) provides detailed information for sialylation analysis. The potential diagnostic value of this approach is discussed.
本文提出了一种基于傅里叶变换离子回旋共振质谱(FTICR-MS)的策略,用于筛选含有O-连接糖肽和带有α-N-乙酰半乳糖胺残基的O-糖基化氨基酸的复杂糖缀合物混合物。为了检测和鉴定患有遗传性N-乙酰己糖胺酶缺乏症(即辛德勒病)患者尿液中存在的O-糖型,其浓度比健康对照者尿液中的浓度高100倍,需要新的精确图谱绘制和测序方法。在质谱分析中,由于唾液酸部分在解吸/电离过程中可能不稳定,因此必须特别注意原始的唾液酸化模式。本文展示了在9.4 T下的负离子纳米电喷雾电离(nanoESI)FTICR-MS,由于其高分辨率和质量精度,是鉴定此类复杂糖混合物中单一成分的首选方法。通过在负离子模式下优化持续非共振照射碰撞诱导解离串联质谱(SORI-CID-MS(2)),从唾液酸化糖肽成分的碎片模式确定其类型和序列。此外,SORI-CID-MS(3)的实施为唾液酸化分析提供了详细信息。讨论了该方法的潜在诊断价值。