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系统评价 O-GlcNAc 蛋白质组学的亲和富集方法。

Systematic Evaluation of Affinity Enrichment Methods for O-GlcNAc Proteomics.

机构信息

Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia 20007, United States.

Information Science and Technology College, Dalian Maritime University, Dalian 116026, China.

出版信息

J Proteome Res. 2024 Oct 4;23(10):4422-4432. doi: 10.1021/acs.jproteome.4c00388. Epub 2024 Sep 20.

Abstract

O-Linked β--acetylglucosamine (O-GlcNAc) modification (i.e., O-GlcNAcylation) on proteins plays critical roles in the regulation of diverse biological processes. However, protein O-GlcNAcylation analysis, especially at a large scale, has been a challenge. So far, a number of enrichment materials and methods have been developed for site-specific O-GlcNAc proteomics in different biological settings. Despite the presence of multiple methods, their performance for the O-GlcNAc proteomics is largely unclear. In this work, by using the lysates of PANC-1 cells (a pancreatic cancer cell line), we provided a head-to-head comparison of three affinity enrichment methods and materials (i.e., antibody, lectin AANL6, and an OGA mutant) for site-specific O-GlcNAc proteomics. The enriched peptides were analyzed by HCD product-dependent EThcD (i.e., HCD-pd-EThcD) mass spectrometry. The resulting data files were processed by three different data analysis packages (i.e., Sequest HT, Byonic, and FragPipe). Our data suggest that each method captures a subpopulation of the O-GlcNAc proteins. Besides the enrichment methods, we also observe complementarity between the different data analysis tools. Thus, combining different approaches holds promise for enhanced coverage of O-GlcNAc proteomics.

摘要

O-连接β--乙酰氨基葡萄糖(O-GlcNAc)修饰(即 O-GlcNAcylation)在蛋白质中对调节多种生物过程起着至关重要的作用。然而,蛋白质 O-GlcNAcylation 分析,特别是在大规模水平上,一直是一个挑战。迄今为止,已经开发了许多用于不同生物环境中特定位置 O-GlcNAc 蛋白质组学的富集材料和方法。尽管存在多种方法,但它们在 O-GlcNAc 蛋白质组学中的性能在很大程度上仍不清楚。在这项工作中,我们使用 PANC-1 细胞(一种胰腺癌细胞系)的裂解物,对头对头比较了三种用于特定位置 O-GlcNAc 蛋白质组学的亲和富集方法和材料(即抗体、凝集素 AANL6 和 OGA 突变体)。通过 HCD 产物依赖的 EThcD(即 HCD-pd-EThcD)质谱法分析富集的肽段。通过三个不同的数据分析软件包(即 Sequest HT、Byonic 和 FragPipe)处理得到的数据文件。我们的数据表明,每种方法都捕获了 O-GlcNAc 蛋白质的一个亚群。除了富集方法,我们还观察到不同数据分析工具之间的互补性。因此,结合不同的方法有望提高 O-GlcNAc 蛋白质组学的覆盖度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb56/11459509/82ef494ce833/pr4c00388_0001.jpg

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