ArticleGenome medicine2018
Exploring the pre-immune landscape of antigen-specific T cells.
Article in Genome medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 52 citations in OpenAlex.
- Inference of SARS-CoV-2 exposure biomarkers using large-scale T-cell repertoire profiling.Genome medicine · 2026Article
- Multimodal learning for scalable representation of high-dimensional medical data.Frontiers in digital health · 2025Article
- Investigation of Long-Term CD4+ T Cell Receptor Repertoire Changes Following SARS-CoV-2 Infection in Patients with Different Severities of Disease.Diagnostics (Basel, Switzerland) · 2024Article
- The molecular mechanisms of CD8Frontiers in immunology · 2024Review
- Artificial intelligence and neoantigens: paving the path for precision cancer immunotherapy.Frontiers in immunology · 2024Review
- A Paratope-Enhanced Method to Determine Breadth and Depth TCR Clonal Metrics of the Private Human T-Cell Vaccine Response after SARS-CoV-2 Vaccination.International journal of molecular sciences · 2023Article
- A robust deep learning workflow to predict CD8 + T-cell epitopes.Genome medicine · 2023Article
- Entropic analysis of antigen-specific CDR3 domains identifies essential binding motifs shared by CDR3s with different antigen specificities.Cell systems · 2023Article
- Architecture of the SARS-CoV-2-specific T cell repertoire.Frontiers in immunology · 2023Review
- Clonal diversity predicts persistence of SARS-CoV-2 epitope-specific T-cell response.Communications biology · 2022Article
- Soluble form of CTLA-4 is a good predictor for tumor recurrence after radiofrequency ablation in hepatocellular carcinoma patients.Cancer medicine · 2022Article
- Evaluating performance of existing computational models in predicting CD8+ T cell pathogenic epitopes and cancer neoantigens.Briefings in bioinformatics · 2022Article
- A novel ensemble fuzzy classification model in SARS-CoV-2 B-cell epitope identification for development of protein-based vaccine.Applied soft computing · 2022Article
- HLA variants have different preferences to present proteins with specific molecular functions which are complemented in frequent haplotypes.Frontiers in immunology · 2022Article
- Autoencoder based local T cell repertoire density can be used to classify samples and T cell receptors.PLoS computational biology · 2021Article
- Soluble cytotoxic T-lymphocyte-associated antigen 4 (sCTLA-4) as a potential biomarker for diagnosis and evaluation of the prognosis in Glioma.BMC immunology · 2021Article
- In silico T cell epitope identification for SARS-CoV-2: Progress and perspectives.Advanced drug delivery reviews · 2021Review
- CDR3 and V genes show distinct reconstitution patterns in T cell repertoire post-allogeneic bone marrow transplantation.Immunogenetics · 2021Article
- HLA binding of self-peptides is biased towards proteins with specific molecular functions.bioRxiv : the preprint server for biology · 2021Article
- iCAT: diagnostic assessment tool of immunological history using high-throughput T-cell receptor sequencing.F1000Research · 2021Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 4 countries.
Funding
Abstract
backgroundAdaptive immune responses to newly encountered pathogens depend on the mobilization of antigen-specific clonotypes from a vastly diverse pool of naive T cells. Using recent advances in immune repertoire sequencing technologies, models of the immune receptor rearrangement process, and a database of annotated T cell receptor (TCR) sequences with known specificities, we explored the baseline frequencies of T cells specific for defined human leukocyte antigen (HLA) class I-restricted epitopes in healthy individuals.
methodsWe used a database of TCR sequences with known antigen specificities and a probabilistic TCR rearrangement model to estimate the baseline frequencies of TCRs specific to distinct antigens epitopespecificT-cells. We verified our estimates using a publicly available collection of TCR repertoires from healthy individuals. We also interrogated a database of immunogenic and non-immunogenic peptides is used to link baseline T-cell frequencies with epitope immunogenicity.
resultsOur findings revealed a high degree of variability in the prevalence of T cells specific for different antigens that could be explained by the physicochemical properties of the corresponding HLA class I-bound peptides. The occurrence of certain rearrangements was influenced by ancestry and HLA class I restriction, and umbilical cord blood samples contained higher frequencies of common pathogen-specific TCRs. We also identified a quantitative link between specific T cell frequencies and the immunogenicity of cognate epitopes presented by defined HLA class I molecules.
conclusionsOur results suggest that the population frequencies of specific T cells are strikingly non-uniform across epitopes that are known to elicit immune responses. This inference leads to a new definition of epitope immunogenicity based on specific TCR frequencies, which can be estimated with a high degree of accuracy in silico, thereby providing a novel framework to integrate computational and experimental genomics with basic and translational research efforts in the field of T cell immunology.
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Registered trials
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.