ArticlePLoS genetics2023
Modeling and predicting the overlap of B- and T-cell receptor repertoires in healthy and SARS-CoV-2 infected individuals.
Article in PLoS genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Age-associated differences in XBB.1.5 trivalent booster vaccine-induced adaptive responses revealed by single-cell RNA sequencing.Emerging microbes & infections · 2026Article
- An integrated human immunoglobulin germline resource linking allele diversity to expressed repertoire structure.bioRxiv : the preprint server for biology · 2026Article
- T-cell repertoire response in individuals with post-acute sequelae of COVID-19.bioRxiv : the preprint server for biology · 2026Article
- Medical software for precision diagnostics of infection with immunoprofiling and artificial intelligence.Journal of translational medicine · 2026Review
- TCR representation learning with protein language models: a comprehensive review.International immunology · 2026Review
- The current landscape of adaptive immune receptor genomic and repertoire data: OGRDB and VDJbase.Nucleic acids research · 2026Article
- LM-QASAS: reference-free identification of antigen-specific sequences from the BCR repertoire using antibody language models.Frontiers in immunology · 2026Article
- Explore antibody repertoire in the era of AI.Acta biochimica et biophysica Sinica · 2025Article
- Learning predictive signatures of HLA type from T-cell repertoires.PLoS computational biology · 2025Article
- The characteristics of TCR CDR3 repertoire in COVID-19 patients and SARS-CoV-2 vaccine recipients.Virulence · 2024Review
- Review
- Computational detection of antigen-specific B cell receptors following immunization.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Combining mutation and recombination statistics to infer clonal families in antibody repertoires.eLife · 2024Article
- Robust detection of infectious disease, autoimmunity, and cancer from the paratope networks of adaptive immune receptors.Briefings in bioinformatics · 2024Article
- Deep learning predictions of TCR-epitope interactions reveal epitope-specific chains in dual alpha T cells.Nature communications · 2024Article
- Systematic evaluation of B-cell clonal family inference approaches.BMC immunology · 2024Article
- Deciphering the antigen specificities of antibodies by clustering their complementarity determining region sequences.mSystems · 2023Article
- Mathematical Characterization of Private and Public Immune Receptor Sequences.Bulletin of mathematical biology · 2023Article
- Germline-encoded specificities and the predictability of the B cell response.PLoS pathogens · 2023Article
- The Longitudinal Analysis of Convergent Antibody VDJ Regions in SARS-CoV-2-Positive Patients Using RNA-Seq.Viruses · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Adaptive immunity's success relies on the extraordinary diversity of protein receptors on B and T cell membranes. Despite this diversity, the existence of public receptors shared by many individuals gives hope for developing population-wide vaccines and therapeutics. Using probabilistic modeling, we show many of these public receptors are shared by chance in healthy individuals. This predictable overlap is driven not only by biases in the random generation process of receptors, as previously reported, but also by their common functional selection. However, the model underestimates sharing between repertoires of individuals infected with SARS-CoV-2, suggesting strong specific antigen-driven convergent selection. We exploit this discrepancy to identify COVID-associated receptors, which we validate against datasets of receptors with known viral specificity. We study their properties in terms of sequence features and network organization, and use them to design an accurate diagnostic tool for predicting SARS-CoV-2 status from repertoire data.
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