School of Chemical Science & Engineering, Shanghai Key Laboratory of Chemical Assessment and Sustainability, Tongji University, Shanghai, China.
Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Proteomics Clin Appl. 2022 Nov;16(6):e2100095. doi: 10.1002/prca.202100095. Epub 2022 May 11.
Exploration study of site-specific isobaric-TMT-labeling quantitative serum O-glycoproteomics for the discovery of putative O-glycoprotein cancer biomarkers.
Sera of 10 breast cancer patients was used as the exploration cohort. More abundant N-glycosylation was first removed with PNGase F. After tryptic digestion of de-N-glycosylated serum proteome, the TMT-labeled O-glycopeptides mixture was prepared and analyzed with RPLC-MS/MS. Site-specific qualitative and quantitative database search of O-glycopeptides was carried out with pGlyco 3.0. The same raw datasets were also searched with intact N-glycopeptide search engine GPSeeker to exclude possible interference of N-glycosylation. The final IDs were checked manually with GlcNAc-containing glycosite-determining fragment ions for confirmation.
With the control of spectrum-level FDR ≤ 1% and manual validation, 299 O-glycopeptides corresponding to 83 O-glycosites and 66 O-glycoproteins were identified, and 13 O-glycopeptides were found differentially expressed. Most interestingly, differential O-glycosylation was observed for IgG1 and IgG3, which is an interesting putative biomarker panel.
Isobaric-labeling site-specific quantitative O-glycoproteomics is currently a state-of-the-art instrumental platform for discovery of putative seral cancer biomarkers. Differential seral O-glycosylation was observed in the IgG1 and IgG3.
探索基于同位素质谱标签(isobaric-TMT)的定量血清 O-糖蛋白组学在发现潜在 O-糖蛋白癌症生物标志物中的应用。
采用 10 例乳腺癌患者的血清作为探索性队列。首先用 PNGase F 去除富含 N-糖基化的部分。对去 N-糖基化血清蛋白质组进行胰蛋白酶消化后,制备 TMT 标记的 O-糖肽混合物,并用 RPLC-MS/MS 进行分析。使用 pGlyco 3.0 对 O-糖肽进行基于位点的定性和定量数据库搜索。使用完整的 N-糖肽搜索引擎 GPSeeker 对相同的原始数据集进行搜索,以排除 N-糖基化可能产生的干扰。最终的 ID 通过 GlcNAc 结合的糖基化位点确定片段离子进行手动检查验证。
在谱级 FDR≤1%的控制下,并通过手动验证,共鉴定到 299 个 O-糖肽,对应 83 个 O-糖基化位点和 66 个 O-糖蛋白,其中有 13 个 O-糖肽被发现存在差异表达。最有趣的是,IgG1 和 IgG3 的 O-糖基化存在差异,这是一个有趣的潜在生物标志物组合。
同位素质谱标签的基于位点的定量 O-糖蛋白组学是目前发现潜在血清癌症生物标志物的一种先进的仪器平台。在 IgG1 和 IgG3 中观察到了差异的血清 O-糖基化。