Kong Siyuan, Zhang Wei, Cao Weiqian
Shanghai Fifth People's Hospital and Institutes of Biomedical Sciences, NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200433, China.
Biochem Soc Trans. 2024 Dec 19;52(6):2439-2453. doi: 10.1042/BST20240257.
Recent advances in mass spectrometry (MS)-based methods have significantly expanded the capabilities for quantitative glycoproteomics, enabling highly sensitive and accurate quantitation of glycosylation at intact glycopeptide level. These developments have provided valuable insights into the roles of glycoproteins in various biological processes and diseases. In this short review, we summarize pertinent studies on quantitative techniques and tools for site-specific glycoproteomic analysis published over the past decade. We also highlight state-of-the-art MS-based software that facilitate multi-dimension quantification of the glycoproteome, targeted quantification of specific glycopeptides, and the analysis of glycopeptide isomers. Additionally, we discuss the potential applications of these technologies in clinical biomarker discovery and the functional characterization of glycoproteins in health and disease. The review concludes with a discussion of current challenges and future perspectives in the field, emphasizing the need for more precise, high-throughput and efficient methods to further advance quantitative glycoproteomics and its applications.
基于质谱（MS）方法的最新进展显著扩展了定量糖蛋白质组学的能力，能够在完整糖肽水平上对糖基化进行高度灵敏和准确的定量分析。这些进展为深入了解糖蛋白在各种生物过程和疾病中的作用提供了有价值的见解。在这篇简短的综述中，我们总结了过去十年中发表的关于位点特异性糖蛋白质组分析的定量技术和工具的相关研究。我们还重点介绍了基于质谱的先进软件，这些软件有助于糖蛋白质组的多维定量分析、特定糖肽的靶向定量分析以及糖肽异构体的分析。此外，我们讨论了这些技术在临床生物标志物发现以及健康和疾病中糖蛋白功能表征方面的潜在应用。综述最后讨论了该领域当前面临的挑战和未来前景，强调需要更精确、高通量和高效的方法来进一步推动定量糖蛋白质组学及其应用的发展。
