National Health Commission (NHC) Key Laboratory of Transplant Engineering and Immunology, Institutes for Systems Genetics, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Sichuan Provincial Engineering Laboratory of Pathology in Clinical Application, West China Hospital, Sichuan University, Chengdu, China.
Front Immunol. 2021 Oct 21;12:755568. doi: 10.3389/fimmu.2021.755568. eCollection 2021.
Deciphering the glycosylation of the viral envelope (Env) glycoprotein is critical for evaluating viral escape from the host's immune response and developing vaccines and antiviral drugs. However, it is still challenging to precisely decode the site-specific glycosylation characteristics of the highly glycosylated Env proteins, although glycoproteomics have made significant advances in mass spectrometry techniques and data analysis tools. Here, we present a hybrid dissociation technique, EThcD-sceHCD, by combining electron transfer/higher-energy collisional dissociation (EThcD) and stepped collision energy/higher-energy collisional dissociation (sceHCD) into a sequential glycoproteomic workflow. Following this scheme, we characterized site-specific N/O-glycosylation of the human immunodeficiency virus type 1 (HIV-1) Env protein gp120. The EThcD-sceHCD method increased the number of identified glycopeptides when compared with EThcD, while producing more comprehensive fragment ions than sceHCD for site-specific glycosylation analysis, especially for accurate O-glycosite assignment. Finally, eighteen N-glycosites and five O-glycosites with attached glycans were assigned unambiguously from heavily glycosylated gp120. These results indicate that our workflow can achieve improved performance for analysis of the N/O-glycosylation of a highly glycosylated protein containing numerous potential glycosites in one process. Knowledge of the glycosylation landscape of the Env glycoprotein will be useful for understanding of HIV-1 infection and development of vaccines and drugs.
解析病毒包膜 (Env) 糖蛋白的糖基化对于评估病毒逃避宿主免疫反应以及开发疫苗和抗病毒药物至关重要。然而,尽管糖组学在质谱技术和数据分析工具方面取得了重大进展,但仍然难以精确解码高度糖基化的 Env 蛋白的位点特异性糖基化特征。在这里,我们提出了一种混合解离技术,EThcD-sceHCD,通过将电子转移/更高能量碰撞解离 (EThcD) 和分步碰撞能量/更高能量碰撞解离 (sceHCD) 结合到一个连续的糖蛋白质组学工作流程中。按照这个方案,我们对人类免疫缺陷病毒 1 (HIV-1) Env 蛋白 gp120 的位点特异性 N/O-糖基化进行了表征。与 EThcD 相比,EThcD-sceHCD 方法增加了鉴定的糖肽数量,而对于位点特异性糖基化分析,产生的片段离子比 sceHCD 更全面,特别是对于准确的 O-糖基位点分配。最后,从高度糖基化的 gp120 中明确分配了十八个 N-糖基化位点和五个 O-糖基化位点以及连接的聚糖。这些结果表明,我们的工作流程可以在一个过程中提高对包含许多潜在糖基化位点的高度糖基化蛋白的 N/O-糖基化分析的性能。了解 Env 糖蛋白的糖基化景观对于理解 HIV-1 感染以及疫苗和药物的开发将是有用的。