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基于质谱的糖蛋白质组学工作流程用于癌症生物标志物的发现。

Mass Spectrometry-Based Glycoproteomic Workflows for Cancer Biomarker Discovery.

机构信息

Center for Proteome Analysis, 12250Indiana University School of Medicine, Indianapolis, USA.

Department of Biochemistry and Molecular Biology, 12250Indiana University School of Medicine, Indianapolis, USA.

出版信息

Technol Cancer Res Treat. 2023 Jan-Dec;22:15330338221148811. doi: 10.1177/15330338221148811.

Abstract

Glycosylation has a clear role in cancer initiation and progression, with numerous studies identifying distinct glycan features or specific glycoproteoforms associated with cancer. Common findings include that aggressive cancers tend to have higher expression levels of enzymes that regulate glycosylation as well as glycoproteins with greater levels of complexity, increased branching, and enhanced chain length. Research in cancer glycoproteomics over the last 50-plus years has mainly focused on technology development used to observe global changes in glycosylation. Efforts have also been made to connect glycans to their protein carriers as well as to delineate the role of these modifications in intracellular signaling and subsequent cell function. This review discusses currently available techniques utilizing mass spectrometry-based technologies used to study glycosylation and highlights areas for future advancement.

摘要

糖基化在癌症的发生和发展中起着明确的作用,许多研究确定了与癌症相关的独特糖特征或特定糖蛋白形式。常见的发现包括,侵袭性癌症往往具有更高水平的调节糖基化的酶以及具有更高复杂性、更多分支和更长链的糖蛋白。过去 50 多年来,在癌症糖蛋白质组学方面的研究主要集中在用于观察糖基化全局变化的技术发展上。人们还努力将聚糖与其蛋白质载体连接起来,并阐明这些修饰在细胞内信号传递和随后的细胞功能中的作用。本文讨论了目前利用基于质谱的技术研究糖基化的可用技术,并强调了未来的发展方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6eb2/9903044/1124dcd284ed/10.1177_15330338221148811-fig1.jpg

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