ArticleNature immunology2025
T cell immune evasion by SARS-CoV-2 JN.1 escapees targeting two cytotoxic T cell epitope hotspots.
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Article in Nature immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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24citing papers in PubMed
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Who cites it
24 citing papers in PubMed.
- Broad cross-T cell immunity between emerging SARS-CoV-2 serotypes waved by spike-signature mutations.Emerging microbes & infections · 2026Article
- Article
- The challenge and promise of studying human antigen-specific T cells.Nature reviews. Immunology · 2026Review
- A population-based retrospective machine learning study of COVID-19 severity using integrated clinical and viral genomic data in Jiangsu Province, China.BMC microbiology · 2026Article
- Position-5-driven reorientation of an immunodominant HLA-A*24:02 SARS-CoV-2 epitope drives universal T cell escape.JCI insight · 2026Article
- Systematic profiling of SARS-CoV-2 structural protein-specific T cell epitopes in Omicron infections following inactivated vaccination.iScience · 2026Article
- Research progress of nucleocapsid protein of novel coronavirus: structure, function and targeted therapy.Archives of virology · 2026Review
- Molecular Aspects of Viral Pathogenesis in Emerging SARS-CoV-2 Variants: Evolving Mechanisms of Infection and Host Response.International journal of molecular sciences · 2026Review
- Broad and robust T cell immunity compensates the population immune barrier against antibody-escaping Omicron variants.Frontiers in immunology · 2026Article
- From Antibiotic Resistance to Bacterial Vaccines: A New Approach to Controlling Resistant Bacterial Infections.Infection and drug resistance · 2026Review
- N-terminal pyroglutamylation of an HLA-A24-restricted immunodominant epitope enhances SARS-CoV-2-specific T-cell responses.Frontiers in immunology · 2026Article
- Structural insights into clonal restriction and diversity in T cell recognition of two immunodominant SARS-CoV-2 nucleocapsid epitopes.Nature communications · 2025Article
- A Comprehensive View on the Mechanisms of Coronavirus Escaping Innate Immunity.Veterinary sciences · 2025Review
- Perspective Overview of Changing Population Immunity to COVID-19 in the Context of Infection, Vaccination, and Emerging SARS-CoV-2 Variants.Pathogens (Basel, Switzerland) · 2025Review
- T cell epitope mapping reveals immunodominance of evolutionarily conserved regions within SARS-CoV-2 proteome.iScience · 2025Article
- Conformational and Stability Analysis of SARS-CoV-2 Spike Protein Variants by Molecular Simulation.Pathogens (Basel, Switzerland) · 2025Article
- MIS-C pathogenesis: immune dysregulation & viral triggers.Frontiers in immunology · 2025Review
- T-Cell Interferon Gamma Responses to SARS-CoV-2 Following Infection with/Without Vaccination in a Tanzanian Population.Infection and drug resistance · 2025Article
- Heterologous ORFV-Ad26 vaccination broadens antibody breadth and amplifies cellular immunity against SARS-CoV-2 spike.Frontiers in immunology · 2025Article
- Broad-spectrum inhibition of SARS-CoV-2 variants by dibutyl phthalate through allosteric disruption of Spike-ACE2 interface.Frontiers in microbiology · 2025Article
Corrections and comments
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Authors and funding
32 authors.
Jinmin Tian *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Bingli Shang *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jianing Zhang *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yuanyuan Guo *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID http://orcid.org/0009-0002-7712-6050
Min Li *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yuechao Hu *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Dan BaiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Junying SheNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yang HanNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Peipei GuoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Mengkun HuangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yalan WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Maoshun LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jie ZhangBeijing Ditan Hospital, Capital Medical University, Beijing, China.
Beiwei YeNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yaxin GuoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Mengjie YangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Ying LinNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Ting ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xin SunNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiaoju YuanNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Danni ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Ziqian XuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yan ChaiCAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China.
Jianxun QiCAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China.ORCID http://orcid.org/0000-0002-9358-4732
Kefang LiuCAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China.ORCID http://orcid.org/0000-0001-9076-2647
Shuguang TanCAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China.ORCID http://orcid.org/0000-0002-2599-4959
Yingze ZhaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. zhaoyz@ivdc.chinacdc.cn.ORCID http://orcid.org/0000-0002-3370-6398
Jikun ZhouThe Fifth Hospital of Shijiazhuang, Shijiazhuang, China. 13933880581@163.com.ORCID http://orcid.org/0009-0000-4884-5780
Rui SongBeijing Ditan Hospital, Capital Medical University, Beijing, China. songruii@hotmail.com.ORCID http://orcid.org/0000-0003-3624-2514
George F GaoNHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. gaof@im.ac.cn.ORCID http://orcid.org/0000-0002-3869-615X
Jun LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. liujun@ivdc.chinacdc.cn.ORCID http://orcid.org/0000-0003-3605-4070
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although antibody escape is observed in emerging severe acute respiratory syndrome coronavirus 2 variants, T cell escape, especially after the global circulation of BA.2.86/JN.1, is unexplored. Here we demonstrate that T cell evasion exists in epitope hotspots spanning BA.2.86/JN.1 mutations. The newly emerging Q229K at this conserved nucleocapsid protein site impairs HLA-A2 epitope hotspot recognition. The association between HLA-A24 convalescents and T cell immune escape points to the spike (S) protein epitope S
Indexed as
COVID-19Epitopes, T-LymphocyteImmune EvasionSARS-CoV-2Spike Glycoprotein, CoronavirusT-Lymphocytes, CytotoxicHLA-A2 AntigenHumansMutationEpitopes, T-LymphocyteHLA-A2 AntigenSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.