Sarbu Mirela, Zhu Feifei, Peter-Katalinić Jasna, Clemmer David E, Zamfir Alina D
West University of Timisoara, Romania.
Aurel Vlaicu University of Arad, Romania.
Rapid Commun Mass Spectrom. 2015 Nov 15;29(21):1929-37. doi: 10.1002/rcm.7288.
Schindler disease is caused by the deficient activity of α-N-acetylgalactosaminidase, which leads to an abnormal accumulation of O-glycopeptides in tissues and body fluids. In this work the Schindler condition is for the first time approached by ion mobility (IMS) tandem mass spectrometry (MS/MS), for determining urine glycopeptide fingerprints and discriminate isomeric structures.
IMS-MS experiments were conducted on a Synapt G2s mass spectrometer operating in negative ion mode. A glycopeptide mixture extracted from the urine of a patient suffering from Schindler disease was dissolved in methanol and infused into the mass spectrometer by electrospray ionization using a syringe-pump system. MS/MS was performed by collision-induced dissociation (CID) at low energies, after mobility separation in the transfer cell. Data acquisition and processing were performed using MassLynx and Waters Driftscope software.
IMS-MS data indicated that the attachment of one or two amino acids to the carbohydrate backbone has a minimal influence on the molecule conformation, which limits the discrimination of the free oligosaccharides from the glycosylated amino acids and dipeptides. The structural analysis by CID MS/MS in combination with IMS-MS of species exhibiting the same m/z but different configurations demonstrated for the first time the presence of positional isomers for some of the Schindler disease biomarker candidates.
The IMS-MS and CID MS/MS platform was for the first time optimized and applied to Schindler disease glycourinome. By this approach the separation and characterization of Neu5Ac positional isomers was possible. IMS CID MS/MS showed the ability to determine the type of the glycopeptide isomers from a series of possible candidates.
辛德勒病是由α-N-乙酰半乳糖胺酶活性不足引起的,这会导致O-糖肽在组织和体液中异常蓄积。在这项研究中,首次采用离子淌度(IMS)串联质谱(MS/MS)研究辛德勒病,以确定尿液糖肽指纹图谱并区分异构体结构。
在以负离子模式运行的Synapt G2s质谱仪上进行IMS-MS实验。将从一名辛德勒病患者尿液中提取的糖肽混合物溶解在甲醇中,使用注射泵系统通过电喷雾电离将其注入质谱仪。在传输池中进行淌度分离后,通过低能量碰撞诱导解离(CID)进行MS/MS分析。使用MassLynx和Waters Driftscope软件进行数据采集和处理。
IMS-MS数据表明,在碳水化合物主链上连接一个或两个氨基酸对分子构象的影响最小,这限制了游离寡糖与糖基化氨基酸和二肽的区分。通过CID MS/MS结合IMS-MS对具有相同m/z但不同构型的物种进行结构分析,首次证明了一些辛德勒病生物标志物候选物中存在位置异构体。
首次对IMS-MS和CID MS/MS平台进行优化并应用于辛德勒病糖组学研究。通过这种方法,可以分离和表征Neu5Ac位置异构体。IMS CID MS/MS显示出从一系列可能的候选物中确定糖肽异构体类型的能力。