Chen Siyu, Xie Yixuan, Alvarez Michael Russelle, Sheng Ying, Bouchibti Yasmine, Chang Vincent, Lebrilla Carlito B
Department of Chemistry, University of California, Davis, California 95616, United States.
State Key Laboratory of Genetic Engineering, Greater Bay Area Institute of Precision Medicine (Guangzhou), School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai, 200438, China.
Anal Chem. 2025 Jan 28;97(3):1584-1593. doi: 10.1021/acs.analchem.4c04134. Epub 2025 Jan 13.
Protein-protein interactions in the cell membrane are typically mediated by glycans, with terminal sialic acid often involved in these interactions. To probe the nature of the interactions, we developed quantitative cross-linking methods involving the glycans of the glycoproteins and the polypeptide moieties of proteins. We designed and synthesized biotinylated enrichable cross-linkers that were click-tagged to metabolically incorporate azido-sialic acid on cell surface glycans to allow cross-linking of the azido-glycans with lysine residues on proximal polypeptides. The glycopeptide-peptide cross-links (GPx) were enriched using biotin groups through affinity purification with streptavidin resin beads. Workflows using two linkers, one photocleavable and the other disulfide, were developed and applied to reveal the sialic acid-mediated cell-surface protein networks of PNT2 (prostate) cells. Glycopeptide-peptide pairs were identified, with 12000 GPx linked by sialylated glycoforms revealing interactions between source glycoproteins and nearly 700 target proteins. Protein-protein interactions were characterized by as many as 40 peptide pairs, and the extent of the interactions between proteins was prioritized by the number of GPx. Quantitation was performed by counting the number of GPx that identify the protein pairs. Abundant membrane proteins such as ITGB1 yielded an interactome consisting of around 400 other proteins, which were ranked from the most extensive interaction, having the largest number of GPx, to at least one. The interactome was further confirmed separately by published databases. This tool will enhance our understanding of glycosylation on protein-protein interactions and provide new potential targets for therapeutics.
细胞膜中的蛋白质-蛋白质相互作用通常由聚糖介导,末端唾液酸常参与这些相互作用。为了探究相互作用的本质,我们开发了定量交联方法,该方法涉及糖蛋白的聚糖和蛋白质的多肽部分。我们设计并合成了可生物素化的可富集交联剂,这些交联剂通过点击标记代谢性地将叠氮唾液酸掺入细胞表面聚糖中,以使叠氮聚糖与近端多肽上的赖氨酸残基交联。使用生物素基团通过链霉亲和素树脂珠的亲和纯化来富集糖肽-肽交联(GPx)。开发并应用了使用两种交联剂(一种是光可裂解的,另一种是二硫键的)的工作流程,以揭示PNT2(前列腺)细胞的唾液酸介导的细胞表面蛋白网络。鉴定出糖肽-肽对,12000个由唾液酸化糖型连接的GPx揭示了源糖蛋白与近700个靶蛋白之间的相互作用。多达40个肽对表征了蛋白质-蛋白质相互作用,并且蛋白质之间相互作用的程度按GPx的数量进行排序。通过计算鉴定蛋白质对的GPx数量进行定量。诸如ITGB1之类的丰富膜蛋白产生了一个由大约400个其他蛋白质组成的相互作用组,这些蛋白质从具有最多GPx的最广泛相互作用到至少一个进行排序。已发表的数据库分别进一步证实了该相互作用组。该工具将增强我们对糖基化在蛋白质-蛋白质相互作用上的理解,并为治疗提供新的潜在靶点。