Zhu James, Kim Jiwoong, Xiao Xue, Wang Yunguan, Luo Danni, Jiang Shuang, Chen Ran, Xu Lin, Zhang He, Moise Lenny, Gutierrez Andres H, De Groot Anne S, Xiao Guanghua, Schoggins John W, Zhan Xiaowei, Wang Tao, Xie Yang
Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA, 75390.
EpiVax, Inc. RI, USA, 02909.
bioRxiv. 2020 Sep 4:2020.02.08.939553. doi: 10.1101/2020.02.08.939553.
The outbreak of the 2019 Novel Coronavirus (SARS-CoV-2) rapidly spread from Wuhan, China to more than 150 countries, areas, or territories, causing staggering numbers of infections and deaths. In this study, bioinformatics analyses were performed on 5,568 complete genomes of SARS-CoV-2 virus to predict the T cell and B cell immunogenic epitopes of all viral proteins, which formed a systematic immune vulnerability landscape of SARS-CoV-2. The immune vulnerability and genetic variation profiles of SARS-CoV were compared with those of SARS-CoV and MERS-CoV. In addition, a web portal was developed to broadly share the data and results as a resource for the research community. Using this resource, we showed that genetic variations in SARS-CoV-2 are associated with loss of B cell immunogenicity, an increase in CD4 T cell immunogenicity, and a minimum loss in CD8 T cell immunogenicity, indicating the existence of a curious correlation between SARS-CoV-2 genetic evolutions and the immunity pressure from the host. Overall, we present an immunological resource for SARS-CoV-2 that could promote both therapeutic/vaccine development and mechanistic research.
2019新型冠状病毒(SARS-CoV-2)疫情迅速从中国武汉蔓延至150多个国家、地区或领土,导致感染和死亡人数惊人。在本研究中,对5568个SARS-CoV-2病毒的完整基因组进行了生物信息学分析,以预测所有病毒蛋白的T细胞和B细胞免疫原性表位,从而形成了SARS-CoV-2系统的免疫脆弱性图谱。将SARS-CoV-2的免疫脆弱性和基因变异图谱与SARS-CoV和MERS-CoV的图谱进行了比较。此外,还开发了一个门户网站,广泛共享数据和结果,作为研究界的资源。利用这一资源,我们发现SARS-CoV-2的基因变异与B细胞免疫原性丧失、CD4 T细胞免疫原性增加以及CD8 T细胞免疫原性最小丧失有关,这表明SARS-CoV-2基因进化与宿主免疫压力之间存在奇特的相关性。总体而言,我们提供了一种针对SARS-CoV-2的免疫学资源,可促进治疗/疫苗开发和机制研究。