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Communications Biology
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Communications Biology
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Identification of TCR repertoires in functionally competent cytotoxic T cells cross-reactive to SARS-CoV-2

Authors: Kanako Shimizu; Tomonori Iyoda; An Sanpei; Hiroshi Nakazato; Masahiro Okada; Shogo Ueda; Miyuki Kato-Murayama; +5 Authors

Identification of TCR repertoires in functionally competent cytotoxic T cells cross-reactive to SARS-CoV-2

Abstract

Abstract SARS-CoV-2-specific CD8+ T cells are detectable in infected individuals but are low in unexposed healthy donors (UHD). Little is known about whether pre-existing human coronavirus (HCoV)-specific CD8+ T cells are converted to functionally competent T cells cross-reactive to SARS-CoV-2. Induction of cross-reactive immunity requires the recognition of multiple epitopes. Here, we show that SARS-CoV-2-specific T cells elicited in response to a selected dominant epitope are multifunctional and respond to various HCoVs in UHD. TCRαβ chains from each T cell clone were identified; TCRαβ-transduced T cells responded broadly to the relevant epitopes on several HCoVs, thus implying that TCRαβ may exhibit selective diversity at the single-cell level. We further defined four sets of optimal SARS-CoV-2-peptides and demonstrated the response of CD8+ T cells even in hematological malignant patients. Together, the proposed epitopes inducing pre-existing CD8+ T cells to cross-react with SARS-CoV-2 may be beneficial in vaccine development.

Keywords

QH301-705.5, Immunodominant Epitopes, SARS-CoV-2, Receptors, Antigen, T-Cell, COVID-19, CD8-Positive T-Lymphocytes, Cross Reactions, Article, Humans, Biology (General), Antigens, Viral, T-Lymphocytes, Cytotoxic

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    28
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Top 10%
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