Gene Signatures of T-Cell Activation Can Serve as Predictors of Functionality for SARS-CoV-2-Specific T-Cell Receptors.
SARS-CoV-2 TCRs
TCR functionality prediction
scRNA sequencing
Journal
Vaccines
ISSN: 2076-393X
Titre abrégé: Vaccines (Basel)
Pays: Switzerland
ID NLM: 101629355
Informations de publication
Date de publication:
27 Sep 2022
27 Sep 2022
Historique:
received:
15
08
2022
revised:
15
09
2022
accepted:
23
09
2022
entrez:
27
10
2022
pubmed:
28
10
2022
medline:
28
10
2022
Statut:
epublish
Résumé
The importance of T cells in controlling SARS-CoV-2 infections has been demonstrated widely, but insights into the quality of these responses are still limited due to technical challenges. Indeed, understanding the functionality of the T-cell receptor (TCR) repertoire of a polyclonal antigen-specific population still requires the tedious work of T-cell cloning or TCR re-expression and subsequent characterization. In this work, we show that it is possible to discriminate highly functional and bystander TCRs based on gene signatures of T-cell activation induced by recent peptide stimulation. SARS-CoV-2-specific TCRs previously identified by cytokine release after peptide restimulation and subsequent single-cell RNA sequencing were re-expressed via CRISPR-Cas9-mediated gene editing into a Jurkat-based reporter cell line system suitable for high-throughput screening. We could observe differences in SARS-CoV-2 epitope recognition as well as a wide range of functional avidities. By correlating these
Identifiants
pubmed: 36298482
pii: vaccines10101617
doi: 10.3390/vaccines10101617
pmc: PMC9611811
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : EIT Health CoViproteHCt
ID : 20877
Organisme : the German National Network of University Medicine of the Federal Ministry of Education and Research [BMBF; NaFoUniMedCovid19, COVIM],
ID : 01KX2021
Organisme : Deutsche Forschungsgesellschaft (DFG; German Research Foundation)
ID : SFB1321/1-329628492 [project P17]
Organisme : Deutsche Forschungsgesellschaft (DFG; German Research Foundation)
ID : SFB-TRR 338/1 2021-452881907 [project A01]
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