Immunoinformatic Analysis of SARS-CoV-2 Nucleocapsid Protein and Identification of COVID-19 Vaccine Targets.

Immunoinformatic Analysis of SARS-CoV-2 Nucleocapsid Protein and Identification of COVID-19 Vaccine Targets.
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SARS-COV-2 Nucleocapsid蛋白的免疫信息分析和COVID-19疫苗靶标的鉴定。

DOI:
10.3389/fimmu.2020.587615
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发表时间:
2020
影响因子:
7.3
通讯作者:
Homan EJ
Homan EJ
中科院分区:
医学2区
文献类型:
--
作者:
Oliveira SC;de Magalhães MTQ;Homan EJ

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COVID-19是一个全球性的紧急情况;因此,迫切需要关于B和T细胞对SARS-CoV-2反应的基础知识,这对疫苗开发至关重要。然而,很少有信息可以定义SARS冠状病毒-2的刺突糖蛋白以外的其他决定因素被宿主免疫系统识别。在这项研究中,我们专注于SARS-CoV-2核衣壳蛋白作为疫苗制剂的合适候选靶点。预测SARS-CoV-2 N蛋白的主要B和T细胞表位,并将所得序列与感染人类的其他冠状病毒的同源免疫结构域进行比较。B细胞表位中最主要的位于SRGGSQASSRSSSRSRNSSSTPGSSRGTS序列的176-206个氨基酸之间。此外,我们鉴定了预测结合多个常见MHC I和MHC II等位基因的序列。最值得注意的是,在SARS-CoV-2 N蛋白位置102-110氨基酸内存在潜在的T细胞交叉反应性区域,其贯穿多种人类α和β冠状病毒。针对这些保守表位区域设计的疫苗接种策略可以产生跨人类冠状病毒交叉反应的免疫应答,具有保护或调节疾病的潜力。最后,这些预测可以促进针对这种高优先级病毒的有效疫苗设计。
COVID-19 is a worldwide emergency; therefore, there is a critical need for foundational knowledge about B and T cell responses to SARS-CoV-2 essential for vaccine development. However, little information is available defining which determinants of SARS-CoV-2 other than the spike glycoprotein are recognized by the host immune system. In this study, we focus on the SARS-CoV-2 nucleocapsid protein as a suitable candidate target for vaccine formulations. Major B and T cell epitopes of the SARS-CoV-2 N protein are predicted and resulting sequences compared with the homolog immunological domains of other coronaviruses that infect human beings. The most dominant of B cell epitope is located between 176–206 amino acids in the SRGGSQASSRSSSRSRNSSRNSTPGSSRGTS sequence. Further, we identify sequences which are predicted to bind multiple common MHC I and MHC II alleles. Most notably there is a region of potential T cell cross-reactivity within the SARS-CoV-2 N protein position 102–110 amino acids that traverses multiple human alpha and betacoronaviruses. Vaccination strategies designed to target these conserved epitope regions could generate immune responses that are cross-reactive across human coronaviruses, with potential to protect or modulate disease. Finally, these predictions can facilitate effective vaccine design against this high priority virus.
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发表时间: 2020-06-01
影响因子: 5.4
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