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Usage Information

A T cell–based SARS-CoV-2 spike protein vaccine provides protection without antibodies
Juan Shi, Jian Zheng, Xiujuan Zhang, Wanbo Tai, Ryan Compas, Jack Deno, Natalie Jachym, Abhishek K. Verma, Gang Wang, Xiaoqing Guan, Abby E. Odle, Yushun Wan, Fang Li, Stanley Perlman, Liang Qiao, Lanying Du
Juan Shi, Jian Zheng, Xiujuan Zhang, Wanbo Tai, Ryan Compas, Jack Deno, Natalie Jachym, Abhishek K. Verma, Gang Wang, Xiaoqing Guan, Abby E. Odle, Yushun Wan, Fang Li, Stanley Perlman, Liang Qiao, Lanying Du
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Research Article COVID-19 Vaccines

A T cell–based SARS-CoV-2 spike protein vaccine provides protection without antibodies

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Abstract

SARS-CoV-2 spike–based vaccines are used to control the COVID-19 pandemic. However, emerging variants have become resistant to antibody neutralization and further mutations may lead to full resistance. We tested whether T cells alone could provide protection without antibodies. We designed a T cell–based vaccine in which SARS-CoV-2 spike sequences were rearranged and attached to ubiquitin. Immunization of mice with the vaccine induced no specific antibodies, but strong specific T cell responses. We challenged mice with SARS-CoV-2 wild-type strain or an Omicron variant after the immunization and monitored survival or viral titers in the lungs. The mice were significantly protected against death and weight loss caused by the SARS-CoV-2 wild-type strain, and the viral titers in the lungs of mice challenged with the SARS-CoV-2 wild-type strain or the Omicron variant were significantly reduced. Importantly, depletion of CD4+ or CD8+ T cells led to significant loss of the protection. Our analyses of spike protein sequences of the variants indicated that fewer than one-third presented by dominant HLA alleles were mutated and that most of the mutated epitopes were in the subunit 1 region. As the subunit 2 region is conservative, the vaccines targeting spike protein are expected to protect against future variants due to the T cell responses.

Authors

Juan Shi, Jian Zheng, Xiujuan Zhang, Wanbo Tai, Ryan Compas, Jack Deno, Natalie Jachym, Abhishek K. Verma, Gang Wang, Xiaoqing Guan, Abby E. Odle, Yushun Wan, Fang Li, Stanley Perlman, Liang Qiao, Lanying Du

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Usage data is cumulative from January 2025 through January 2026.

Usage JCI PMC
Text version 1,238 235
PDF 218 52
Figure 587 4
Supplemental data 167 27
Citation downloads 131 0
Totals 2,341 318
Total Views 2,659

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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