Landscape of epitopes targeted by T cells in 852 individuals recovered from COVID-19: Meta-analysis, immunoprevalence, and web platform.
Landscape of epitopes targeted by T cells in 852 individuals recovered from COVID-19: Meta-analysis, immunoprevalence, and web platform.
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DOI:
10.1016/j.xcrm.2021.100312
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发表时间:
2021-06-15
期刊:
影响因子:
--
通讯作者:
McKay MR
中科院分区:
文献类型:
--
作者:
Quadeer AA;Ahmed SF;McKay MR
Knowledge of the epitopes of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) targeted by T cells in recovered (convalescent) individuals is important for understanding T cell immunity against coronavirus disease 2019 (COVID-19). This information can aid development and assessment of COVID-19 vaccines and inform novel diagnostic technologies. Here, we provide a unified description and meta-analysis of SARS-CoV-2 T cell epitopes compiled from 18 studies of cohorts of individuals recovered from COVID-19 (852 individuals in total). Our analysis demonstrates the broad diversity of T cell epitopes that have been recorded for SARS-CoV-2. A large majority are seemingly unaffected by current variants of concern. We identify a set of 20 immunoprevalent epitopes that induced T cell responses in multiple cohorts and in a large fraction of tested individuals. The landscape of SARS-CoV-2 T cell epitopes we describe can help guide immunological studies, including those related to vaccines and diagnostics. A web-based platform has been developed to help complement these efforts. Meta-analysis of T cell epitopes from 18 studies of individuals recovered from COVID-19 20 immunoprevalent SARS-CoV-2 T cell epitopes identified across multiple cohorts Large majority of epitopes appear unaffected by current variants of concern Web dashboard for reporting and analyzing SARS-CoV-2 T cell epitope data Quadeer et al. provide a meta-analysis of SARS-CoV-2 T cell epitope data from 18 studies involving 852 individuals recovered from COVID-19. Their analysis highlights the characteristics of the reported epitopes and identifies 20 immunoprevalent epitopes targeted in multiple cohorts and in a majority of tested individuals. An associated web-platform is reported.
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DOI:
10.4049/jimmunol.1700893
发表时间:
2017-11-01
期刊:
Journal of immunology (Baltimore, Md. : 1950)
影响因子:
--
作者:
Jurtz V;Paul S;Andreatta M;Marcatili P;Peters B;Nielsen M
通讯作者:
Nielsen M
影响因子:
32.4
作者:
Ferretti AP;Kula T;Wang Y;Nguyen DMV;Weinheimer A;Dunlap GS;Xu Q;Nabilsi N;Perullo CR;Cristofaro AW;Whitton HJ;Virbasius A;Olivier KJ Jr;Buckner LR;Alistar AT;Whitman ED;Bertino SA;Chattopadhyay S;MacBeath G
通讯作者:
MacBeath G
DOI:
10.1126/science.abe8499
发表时间:
2020-12-18
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Hou YJ;Chiba S;Halfmann P;Ehre C;Kuroda M;Dinnon KH 3rd;Leist SR;Schäfer A;Nakajima N;Takahashi K;Lee RE;Mascenik TM;Graham R;Edwards CE;Tse LV;Okuda K;Markmann AJ;Bartelt L;de Silva A;Margolis DM;Boucher RC;Randell SH;Suzuki T;Gralinski LE;Kawaoka Y;Baric RS
通讯作者:
Baric RS
影响因子:
32.4
作者:
Abelin JG;Keskin DB;Sarkizova S;Hartigan CR;Zhang W;Sidney J;Stevens J;Lane W;Zhang GL;Eisenhaure TM;Clauser KR;Hacohen N;Rooney MS;Carr SA;Wu CJ
通讯作者:
Wu CJ
影响因子:
10.7
作者:
Katoh K;Standley DM
通讯作者:
Standley DM