Epitope profiling reveals binding signatures of SARS-CoV-2 immune response in natural infection and cross-reactivity with endemic human CoVs.
Epitope profiling reveals binding signatures of SARS-CoV-2 immune response in natural infection and cross-reactivity with endemic human CoVs.
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DOI:
10.1016/j.celrep.2021.109164
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发表时间:
2021-05-25
期刊:
影响因子:
8.8
通讯作者:
Overbaugh J
中科院分区:
文献类型:
--
作者:
Stoddard CI;Galloway J;Chu HY;Shipley MM;Sung K;Itell HL;Wolf CR;Logue JK;Magedson A;Garrett ME;Crawford KHD;Laserson U;Matsen FA 4th;Overbaugh J
A major goal of current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine efforts is to elicit antibody responses that confer protection. Mapping the epitope targets of the SARS-CoV-2 antibody response is critical for vaccine design, diagnostics, and development of therapeutics. Here, we develop a pan-coronavirus phage display library to map antibody binding sites at high resolution within the complete viral proteomes of all known human-infecting coronaviruses in patients with mild or moderate/severe coronavirus disease 2019 (COVID-19). We find that the majority of immune responses to SARS-CoV-2 are targeted to the spike protein, nucleocapsid, and ORF1ab and include sites of mutation in current variants of concern. Some epitopes are identified in the majority of samples, while others are rare, and we find variation in the number of epitopes targeted between individuals. We find low levels of SARS-CoV-2 cross-reactivity in individuals with no exposure to the virus and significant cross-reactivity with endemic human coronaviruses (CoVs) in convalescent sera from patients with COVID-19. Stoddard et al. map common and rare coronavirus epitopes in individuals with mild or moderate/severe COVID-19 and healthy, pre-pandemic individuals. They find a subset of epitopes with residues that are mutated in SARS-CoV-2 variants of concern and show evidence for cross-reactivity between SARS-CoV-2 and commonly circulating human coronaviruses.
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DOI:
10.1093/bioinformatics/btp163
发表时间:
2009-06-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Cock PJ;Antao T;Chang JT;Chapman BA;Cox CJ;Dalke A;Friedberg I;Hamelryck T;Kauff F;Wilczynski B;de Hoon MJ
通讯作者:
de Hoon MJ
影响因子:
13.2
作者:
Chan, Jasper Fuk-Woo;Kok, Kin-Hang;Yuen, Kwok-Yung
通讯作者:
Yuen, Kwok-Yung
DOI:
10.1128/cdli.12.11.1317-1321.2005
发表时间:
2005-11-01
期刊:
CLINICAL AND DIAGNOSTIC LABORATORY IMMUNOLOGY
影响因子:
--
作者:
Chan, KH;Cheng, VCC;Peiris, JSM
通讯作者:
Peiris, JSM
影响因子:
13.2
作者:
Liu, Li;To, Kelvin Kai-Wang;Chen, Zhiwei
通讯作者:
Chen, Zhiwei
影响因子:
64.8
作者:
Arvin, Ann M.;Fink, Katja;Virgin, Herbert W.
通讯作者:
Virgin, Herbert W.