ArticleClinical & translational immunology2021
Landscape of T-cell repertoires with public COVID-19-associated T-cell receptors in pre-pandemic risk cohorts.
Article in Clinical & translational immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 24 citations in OpenAlex.
- Contrasting effects of SARS-CoV-2 vaccination vs. infection on antibody and TCR repertoires.PloS one · 2026Article
- Contrasting Effects of SARS-CoV-2 Vaccination vs. Infection on Antibody and TCR Repertoires.bioRxiv : the preprint server for biology · 2025Article
- Integration of T cell repertoire, CyTOF, genotyping and symptomatology data reveals subphenotypic variability in COVID-19 patients.Computational and structural biotechnology journal · 2025Article
- The T-cell repertoire of Spanish patients with COVID-19 as a strategy to link T-cell characteristics to the severity of the disease.Human genomics · 2024Article
- BCR, not TCR, repertoire diversity is associated with favorable COVID-19 prognosis.Frontiers in immunology · 2024Article
- T cell repertoire breadth is associated with the number of acute respiratory infections in the LoewenKIDS birth cohort.Scientific reports · 2023Article
- Frequency of IRF5+ dendritic cells is associated with the TLR7-induced inflammatory cytokine response in SARS-CoV-2 infection.Cytokine · 2023Article
- Machine learning analysis of humoral and cellular responses to SARS-CoV-2 infection in young adults.Frontiers in immunology · 2023Article
- Clonal diversity predicts persistence of SARS-CoV-2 epitope-specific T-cell response.Communications biology · 2022Article
- Global patterns of antigen receptor repertoire disruption across adaptive immune compartments in COVID-19.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- T cell receptor sequencing identifies prior SARS-CoV-2 infection and correlates with neutralizing antibodies and disease severity.JCI insight · 2022Article
- Utility of Bulk T-Cell Receptor Repertoire Sequencing Analysis in Understanding Immune Responses to COVID-19.Diagnostics (Basel, Switzerland) · 2022Review
- Machine Learning Approaches to TCR Repertoire Analysis.Frontiers in immunology · 2022Review
Corrections and comments
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Authors and funding
17 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesT cells have an essential role in the antiviral defence. Public T-cell receptor (TCR) clonotypes are expanded in a substantial proportion of COVID-19 patients. We set out to exploit their potential use as read-out for COVID-19 T-cell immune responses.
methodsWe searched for COVID-19-associated T-cell clones with public TCRs, as defined by identical complementarity-determining region 3 (CDR3) beta chain amino acid sequence that can be reproducibly detected in the blood of COVID-19 patients. Of the different clonotype identification algorithms used in this study, deep sequencing of brain tissue of five patients with fatal COVID-19 delivered 68 TCR clonotypes with superior representation across 140 immune repertoires of unrelated COVID-19 patients.
resultsMining of immune repertoires from subjects not previously exposed to the virus showed that these clonotypes can be found in almost 20% of pre-pandemic immune repertoires of healthy subjects, with lower representation in repertoires from risk groups like individuals above the age of 60 years or patients with cancer.
conclusionTogether, our data show that at least a proportion of the SARS-CoV-2 T-cell response is mediated by public TCRs that are present in repertoires of unexposed individuals. The lower representation of these clones in repertoires of risk groups or failure to expand such clones may contribute to more unfavorable clinical COVID-19 courses.
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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.