Experimentally Determined Diagnostic Ions for Identification of Peptide Glycotopes

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Journal of Proteome Research Pub Date : 2024-06-18 DOI:10.1021/acs.jproteome.3c00858
Nicholas J. DeBono, Edward S. X. Moh and Nicolle H. Packer*, 
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Abstract

The analysis of the structures of glycans present on glycoproteins is an essential component for determining glycoprotein function; however, detailed glycan structural assignment on glycopeptides from proteomics mass spectrometric data remains challenging. Glycoproteomic analysis by mass spectrometry currently can provide significant, yet incomplete, information about the glycans present, including the glycan monosaccharide composition and in some circumstances the site(s) of glycosylation. Advancements in mass spectrometric resolution, using high-mass accuracy instrumentation and tailored MS/MS fragmentation parameters, coupled with a dedicated definition of diagnostic fragmentation ions have enabled the determination of some glycan structural features, or glycotopes, expressed on glycopeptides. Here we present a collation of diagnostic glycan fragments produced by traditional positive-ion-mode reversed-phase LC-ESI MS/MS proteomic workflows and describe the specific fragmentation energy settings required to identify specific glycotopes presented on N- or O-linked glycopeptides in a typical proteomics MS/MS experiment.

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用于鉴定多肽糖苷酸的实验确定的诊断离子。
对糖蛋白上存在的聚糖结构进行分析是确定糖蛋白功能的重要组成部分;然而,从蛋白质组学质谱数据中对糖肽进行详细的聚糖结构分配仍然具有挑战性。目前,通过质谱法进行的糖蛋白组分析可以提供大量但不完整的有关糖蛋白的信息,包括糖蛋白的单糖组成,以及在某些情况下糖基化的位点。利用高质精确度仪器和量身定制的 MS/MS 片段参数,再加上对诊断性碎片离子的专门定义,质谱分辨率取得了进步,从而能够确定表达在糖肽上的某些聚糖结构特征或糖位。在此,我们整理了传统的正离子模式反相液相色谱-电喷雾离子交换质谱/质谱蛋白质组学工作流程产生的诊断性聚糖碎片,并描述了在典型的蛋白质组学质谱/质谱实验中识别 N-或 O-连接的聚糖肽上呈现的特定聚糖位点所需的特定碎片能量设置。
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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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