Marc Safferthal, Leïla Bechtella, Andreas Zappe, Gaël M. Vos and Kevin Pagel*,
{"title":"Labeling of Mucin-Type O-Glycans for Quantification Using Liquid Chromatography and Fluorescence Detection","authors":"Marc Safferthal, Leïla Bechtella, Andreas Zappe, Gaël M. Vos and Kevin Pagel*, ","doi":"10.1021/acsmeasuresciau.3c00071","DOIUrl":null,"url":null,"abstract":"<p ><i>O</i>-glycosylation is a common post-translational modification that is essential for the defensive properties of mucus barriers. Incomplete and altered <i>O</i>-glycosylation is often linked to severe diseases, such as cancer, cystic fibrosis, and chronic obstructive pulmonary disease. Originating from a nontemplate-driven biosynthesis, mucin-type <i>O</i>-glycan structures are very complex. They are often present as heterogeneous mixtures containing multiple isomers. Therefore, the analysis of complex <i>O</i>-glycan mixtures usually requires hyphenation of orthogonal techniques such as liquid chromatography (LC), ion mobility spectrometry, and mass spectrometry (MS). However, MS-based techniques are mainly qualitative. Moreover, LC separation of <i>O</i>-glycans often lacks reproducibility and requires sophisticated data treatment and analysis. Here we present a mucin-type <i>O</i>-glycomics analysis workflow that utilizes hydrophilic interaction liquid chromatography for separation and fluorescence labeling for detection and quantification. In combination with mass spectrometry, a detailed analysis on the relative abundance of specific mucin-type <i>O</i>-glycan compositions and features, such as fucose, sialic acids, and sulfates, is performed. Furthermore, the average number of monosaccharide units of <i>O</i>-glycans in different samples was determined. To demonstrate universal applicability, the method was tested on mucins from different tissue types and mammals, such as bovine submaxillary mucins, porcine gastric mucins, and human milk mucins. To account for day-to-day retention time shifts in <i>O</i>-glycan separations and increase the comparability between different instruments and laboratories, we included fluorescently labeled dextran ladders in our workflow. In addition, we set up a library of glucose unit values for all identified <i>O</i>-glycans, which can be used to simplify the identification process of glycans in future analyses.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acsmeasuresciau.3c00071","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Measurement Science Au","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acsmeasuresciau.3c00071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
O-glycosylation is a common post-translational modification that is essential for the defensive properties of mucus barriers. Incomplete and altered O-glycosylation is often linked to severe diseases, such as cancer, cystic fibrosis, and chronic obstructive pulmonary disease. Originating from a nontemplate-driven biosynthesis, mucin-type O-glycan structures are very complex. They are often present as heterogeneous mixtures containing multiple isomers. Therefore, the analysis of complex O-glycan mixtures usually requires hyphenation of orthogonal techniques such as liquid chromatography (LC), ion mobility spectrometry, and mass spectrometry (MS). However, MS-based techniques are mainly qualitative. Moreover, LC separation of O-glycans often lacks reproducibility and requires sophisticated data treatment and analysis. Here we present a mucin-type O-glycomics analysis workflow that utilizes hydrophilic interaction liquid chromatography for separation and fluorescence labeling for detection and quantification. In combination with mass spectrometry, a detailed analysis on the relative abundance of specific mucin-type O-glycan compositions and features, such as fucose, sialic acids, and sulfates, is performed. Furthermore, the average number of monosaccharide units of O-glycans in different samples was determined. To demonstrate universal applicability, the method was tested on mucins from different tissue types and mammals, such as bovine submaxillary mucins, porcine gastric mucins, and human milk mucins. To account for day-to-day retention time shifts in O-glycan separations and increase the comparability between different instruments and laboratories, we included fluorescently labeled dextran ladders in our workflow. In addition, we set up a library of glucose unit values for all identified O-glycans, which can be used to simplify the identification process of glycans in future analyses.
O 型糖基化是一种常见的翻译后修饰,对粘液屏障的防御特性至关重要。O-糖基化不完全或发生改变往往与癌症、囊性纤维化和慢性阻塞性肺病等严重疾病有关。源自非模板驱动的生物合成,粘蛋白型 O 型糖结构非常复杂。它们通常是含有多种异构体的异质混合物。因此,分析复杂的 O-聚糖混合物通常需要采用正交技术,如液相色谱法(LC)、离子迁移谱法和质谱法(MS)。然而,基于质谱的技术主要是定性的。此外,液相色谱分离 O 型糖往往缺乏重现性,需要复杂的数据处理和分析。在此,我们介绍一种利用亲水相互作用液相色谱进行分离、利用荧光标记进行检测和定量的粘蛋白型 O-聚糖分析工作流程。结合质谱法,我们可以详细分析特定粘蛋白型 O-糖组成和特征(如岩藻糖、硅酸和硫酸盐)的相对丰度。此外,还测定了不同样本中 O 型聚糖单糖单位的平均数量。为了证明该方法的普遍适用性,对来自不同组织类型和哺乳动物的粘蛋白(如牛颌下腺粘蛋白、猪胃粘蛋白和人奶粘蛋白)进行了测试。为了考虑到O-糖分离过程中每天的保留时间变化,并提高不同仪器和实验室之间的可比性,我们在工作流程中加入了荧光标记的葡聚糖阶梯。此外,我们还为所有已鉴定的 O 型聚糖建立了葡萄糖单位值库,可用于简化今后分析中聚糖的鉴定过程。
期刊介绍:
ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.