An integrated in silico immuno-genetic analytical platform provides insights into COVID-19 serological and vaccine targets

被引:21
作者
Ward, Daniel [1 ]
Higgins, Matthew [1 ]
Phelan, Jody E. [1 ]
Hibberd, Martin L. [1 ]
Campino, Susana [1 ]
Clark, Taane G. [1 ,2 ]
机构
[1] London Sch Hyg & Trop Med, Fac Infect & Trop Dis, Dept Infect Biol, Keppel St, London WC1E 7HT, England
[2] London Sch Hyg & Trop Med, Fac Epidemiol & Populat Hlth, Keppel St, London WC1E 7HT, England
基金
英国生物技术与生命科学研究理事会; 英国医学研究理事会;
关键词
SARS-CoV-2; COVID; Human-coronavirus; Immuno-informatics; Mutation; Epitopes; Cross-reactivity; Surveillance; RESPIRATORY SYNDROME SARS; T-CELLS; CORONAVIRUS; RESPONSES; PREDICTION; PROTECTION; ANTIBODIES; EPITOPES;
D O I
10.1186/s13073-020-00822-6
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
During COVID-19, diagnostic serological tools and vaccines have been developed. To inform control activities in a post-vaccine surveillance setting, we have developed an online "immuno-analytics" resource that combines epitope, sequence, protein and SARS-CoV-2 mutation analysis. SARS-CoV-2 spike and nucleocapsid proteins are both vaccine and serological diagnostic targets. Using the tool, the nucleocapsid protein appears to be a sub-optimal target for use in serological platforms. Spike D614G (and nsp12 L314P) mutations were most frequent (> 86%), whilst spike A222V/L18F have recently increased. Also, Orf3a proteins may be a suitable target for serology. The tool can accessed from: (online); (source code).
引用
收藏
页数:12
相关论文
共 45 条
[1]   BASIC LOCAL ALIGNMENT SEARCH TOOL [J].
ALTSCHUL, SF ;
GISH, W ;
MILLER, W ;
MYERS, EW ;
LIPMAN, DJ .
JOURNAL OF MOLECULAR BIOLOGY, 1990, 215 (03) :403-410
[2]  
CDC, 2020, PROC SPUT SPEC NUCL
[3]   Virus-Specific Memory CD8 T Cells Provide Substantial Protection from Lethal Severe Acute Respiratory Syndrome Coronavirus Infection [J].
Channappanavar, Rudragouda ;
Fett, Craig ;
Zhao, Jincun ;
Meyerholz, David K. ;
Perlman, Stanley .
JOURNAL OF VIROLOGY, 2014, 88 (19) :11034-11044
[4]   Predicting HLA class II antigen presentation through integrated deep learning [J].
Chen, Binbin ;
Khodadoust, Michael S. ;
Olsson, Niclas ;
Wagar, Lisa E. ;
Fast, Ethan ;
Liu, Chih Long ;
Muftuoglu, Yagmur ;
Sworder, Brian J. ;
Diehn, Maximilian ;
Levy, Ronald ;
Davis, Mark M. ;
Elias, Joshua E. ;
Altman, Russ B. ;
Alizadeh, Ash A. .
NATURE BIOTECHNOLOGY, 2019, 37 (11) :1332-+
[5]   Response of memory CD8+ T cells to severe acute respiratory syndrome (SARS) coronavirus in recovered SARS patients and healthy individuals [J].
Chen, HB ;
Hou, JL ;
Jiang, XD ;
Ma, SW ;
Meng, MJ ;
Wang, BM ;
Zhang, MH ;
Zhang, MX ;
Tang, XP ;
Zhang, FC ;
Wan, T ;
Li, N ;
Yu, YZ ;
Hu, HB ;
Yang, RF ;
He, W ;
Wang, XN ;
Cao, XT .
JOURNAL OF IMMUNOLOGY, 2005, 175 (01) :591-598
[6]  
Clark, 2020, CONTROLLING SARS COV
[7]   BioCircos.js']js: an interactive Circos Java']JavaScript library for biological data visualization on web applications [J].
Cui, Ya ;
Chen, Xiaowei ;
Luo, Huaxia ;
Fan, Zhen ;
Luo, Jianjun ;
He, Shunmin ;
Yue, Haiyan ;
Zhang, Peng ;
Chen, Runsheng .
BIOINFORMATICS, 2016, 32 (11) :1740-1742
[8]   Prediction of linear B-cell epitopes [J].
Davydov, Ya. I. ;
Tonevitsky, A. G. .
MOLECULAR BIOLOGY, 2009, 43 (01) :150-158
[9]   An interactive web-based dashboard to track COVID-19 in real time [J].
Dong, Ensheng ;
Du, Hongru ;
Gardner, Lauren .
LANCET INFECTIOUS DISEASES, 2020, 20 (05) :533-534
[10]   An evaluation of COVID-19 serological assays informs future diagnostics and exposure assessment [J].
GeurtsvanKessel, Corine H. ;
Okba, Nisreen M. A. ;
Igloi, Zsofia ;
Bogers, Susanne ;
Embregts, Carmen W. E. ;
Laksono, Brigitta M. ;
Leijten, Lonneke ;
Rokx, Casper ;
Rijnders, Bart ;
Rahamat-Langendoen, Janette ;
van den Akker, Johannes P. C. ;
van Kampen, Jeroen J. A. ;
van der Eijk, Annemiek A. ;
van Binnendijk, Rob S. ;
Haagmans, Bart ;
Koopmans, Marion .
NATURE COMMUNICATIONS, 2020, 11 (01)