Biomedical Sciences Research Center "Alexander Fleming", 16672 Vari, Attica, Greece.
National Centre for Scientific Research "Demokritos", 15310 Agia Paraskevi, Attica, Greece.
J Proteome Res. 2020 Nov 6;19(11):4398-4406. doi: 10.1021/acs.jproteome.0c00457. Epub 2020 Sep 22.
Presentation of antigenic peptides by MHCI is central to cellular immune responses against viral pathogens. While adaptive immune responses versus SARS-CoV-2 can be of critical importance to both recovery and vaccine efficacy, how protein antigens from this pathogen are processed to generate antigenic peptides is largely unknown. Here, we analyzed the proteolytic processing of overlapping precursor peptides spanning the entire sequence of the S1 spike glycoprotein of SARS-CoV-2, by three key enzymes that generate antigenic peptides, aminopeptidases ERAP1, ERAP2, and IRAP. All enzymes generated shorter peptides with sequences suitable for binding onto HLA alleles, but with distinct specificity fingerprints. ERAP1 was the most efficient in generating peptides 8-11 residues long, the optimal length for HLA binding, while IRAP was the least efficient. The combination of ERAP1 with ERAP2 greatly limited the variability of peptide sequences produced. Less than 7% of computationally predicted epitopes were found to be produced experimentally, suggesting that aminopeptidase processing may constitute a significant filter to epitope presentation. These experimentally generated putative epitopes could be prioritized for SARS-CoV-2 immunogenicity studies and vaccine design. We furthermore propose that this in vitro trimming approach could constitute a general filtering method to enhance the prediction robustness for viral antigenic epitopes.
MHC I 呈递抗原肽是针对病毒病原体的细胞免疫反应的核心。尽管针对 SARS-CoV-2 的适应性免疫反应对于恢复和疫苗功效都至关重要,但该病原体的蛋白质抗原如何被加工以产生抗原肽在很大程度上尚不清楚。在这里,我们分析了三种生成抗原肽的关键酶对 SARS-CoV-2 S1 刺突糖蛋白全长的重叠前体肽的蛋白水解加工。所有酶都产生了适合与 HLA 等位基因结合的短肽序列,但具有不同的特异性指纹。ERAP1 是生成 8-11 个残基长的肽的最有效酶,这是与 HLA 结合的最佳长度,而 IRAP 的效率最低。ERAP1 与 ERAP2 的组合极大地限制了产生的肽序列的可变性。在实验中发现,不到 7%的计算预测表位被产生,这表明氨肽酶加工可能是表位呈递的一个重要筛选。这些通过实验产生的假定表位可优先用于 SARS-CoV-2 免疫原性研究和疫苗设计。我们还提出,这种体外修剪方法可以构成一种增强病毒抗原表位预测稳健性的通用筛选方法。