靶向刺突蛋白的新型SARS-CoV-2 Omicron (BA.1和BA.2)特异性CD8+和CD4+ T细胞表位

Simone Parn , Kush Savsani , Sivanesan Dakshanamurthy
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引用次数: 3

摘要

SARS-CoV-2的Omicron (BA.1/B.1.1.529)变体在其刺突蛋白上有惊人的37个突变,降低了当前COVID-19疫苗的效力。在这项研究中,我们从sars - cov - 2s蛋白突变体中鉴定了CD8+和CD4+ T细胞表位。为了从Omicron变体中鉴定出最高质量的CD8和CD4表位,我们选择了对MHC I和MHC II分子具有高结合亲和力的表位。我们应用了其他临床检查点预测指标,包括免疫原性、抗原性、过敏原性、不稳定性和毒性。随后,我们发现8个Omicron (BA.1/B.1.1.529)特异性CD8+和11个CD4+ T细胞表位,世界人口覆盖率分别为76.16%和97.46%。此外,我们还发现了针对SARS-CoV-2毒力关键突变的Omicron BA.1和BA.2谱系的共同表位。此外,我们还发现了B.1.1.529和其他流行的SARS-CoV-2变体(如B.1.617.2 (Delta))的共同表位。我们预测了CD8表位与小鼠MHC等位基因的结合亲和力,以在临床前模型中测试候选疫苗。使用我们之前开发的软件工具PCOptim进一步验证CD8表位。然后,我们模拟了CD8顶部表位的三维结构,以研究肽- mhc和肽- mhc - tcr复合物之间的结合相互作用。值得注意的是,我们确定的表位是针对rna结合域和S蛋白融合位点的突变。与相对较短的mRNA疫苗相比,这可能潜在地消除病毒感染并形成长期免疫反应,并最大限度地提高候选疫苗对当前大流行和潜在未来变体的效力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

SARS-CoV-2 Omicron (BA.1 and BA.2) specific novel CD8+ and CD4+ T cell epitopes targeting spike protein

SARS-CoV-2 Omicron (BA.1 and BA.2) specific novel CD8+ and CD4+ T cell epitopes targeting spike protein

The Omicron (BA.1/B.1.1.529) variant of SARS-CoV-2 harbors an alarming 37 mutations on its spike protein, reducing the efficacy of current COVID-19 vaccines. In this study, we identified CD8+ and CD4+ T cell epitopes from SARS-CoV-2 S protein mutants. To identify the highest quality CD8 and CD4 epitopes from the Omicron variant, we selected epitopes with a high binding affinity towards both MHC I and MHC II molecules. We applied other clinical checkpoint predictors, including immunogenicity, antigenicity, allergenicity, instability and toxicity. Subsequently, we found eight Omicron (BA.1/B.1.1.529) specific CD8+ and eleven CD4+ T cell epitopes with a world population coverage of 76.16% and 97.46%, respectively. Additionally, we identified common epitopes across Omicron BA.1 and BA.2 lineages that target mutations critical to SARS-CoV-2 virulence. Further, we identified common epitopes across B.1.1.529 and other circulating SARS-CoV-2 variants, such as B.1.617.2 (Delta). We predicted CD8 epitopes’ binding affinity to murine MHC alleles to test the vaccine candidates in preclinical models. The CD8 epitopes were further validated using our previously developed software tool PCOptim. We then modeled the three-dimensional structures of our top CD8 epitopes to investigate the binding interaction between peptide-MHC and peptide-MHC-TCR complexes. Notably, our identified epitopes are targeting the mutations on the RNA-binding domain and the fusion sites of S protein. This could potentially eliminate viral infections and form long-term immune responses compared to relatively short-lived mRNA vaccines and maximize the efficacy of vaccine candidates against the current pandemic and potential future variants.

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Immunoinformatics (Amsterdam, Netherlands)
Immunoinformatics (Amsterdam, Netherlands) Immunology, Computer Science Applications
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