ReviewImmunogenetics2020
Revealing factors determining immunodominant responses against dominant epitopes.
Review in Immunogenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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Who cites it
22 citing papers in PubMed, 24 citations in OpenAlex.
- Article
- Systematic Evaluation of Four Cysteine Proteases (Tropical medicine and infectious disease · 2026Article
- Chain-specific remodeling of the γδ T-cell TCR repertoire in preterm infants with cCMV: a gestational-age-stratified case-control study.Frontiers in immunology · 2026Article
- Effects of Live and Peptide-Based Antimicrobiota Vaccines onPathogens (Basel, Switzerland) · 2025Article
- Promiscuous class II-binding SARS-CoV-2-nuc derived vaccine-peptide induced extensive conventional, innate and unconventional T cell responses.Frontiers in immunology · 2025Article
- Article
- T-Cell Exhaustion in HIV-1/Hepatitis C Virus Coinfection Is Reduced After Successful Treatment of Chronic Hepatitis C.Open forum infectious diseases · 2023Article
- Tracking of activated cTfh cells following sequential influenza vaccinations reveals transcriptional profile of clonotypes driving a vaccine-induced immune response.Frontiers in immunology · 2023Article
- T cell receptor β repertoires in patients with COVID-19 reveal disease severity signatures.Frontiers in immunology · 2023Article
- Review
- Two Step Selection for Bias inFrontiers in immunology · 2022Article
- Article
- Article
- Immunodominant T-cell epitopes from the SARS-CoV-2 spike antigen reveal robust pre-existing T-cell immunity in unexposed individuals.Scientific reports · 2021Article
- Review
- Expansion of an Unusual Virtual Memory CD8Frontiers in immunology · 2021Article
- Machine Learning Detects Anti-DENV Signatures in Antibody Repertoire Sequences.Frontiers in artificial intelligence · 2021Article
- Article
- Breast cancer is marked by specific, Public T-cell receptor CDR3 regions shared by mice and humans.PLoS computational biology · 2021Article
- Deciphering the TCR Repertoire to Solve the COVID-19 Mystery.Trends in pharmacological sciences · 2020Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Upon recognition of peptide-MHC complexes by T cell receptors (TCR), the cognate T cells expand and differentiate into effector T cells to generate protective immunity. Despite the fact that any immune response generates a diverse set of TCR clones against a particular epitope, only a few clones are highly expanded in any immune response. Previous studies observed that the highest frequency clones usually control viral infections better than subdominant clones, but the reasons for this dominance among T cell clones are still unclear. Here, we used publicly available TCR amino acid sequences to study which factors determine whether a response becomes immunodominance (ID) per donor; we classified the largest T cell clone as the epitope-specific dominant clone and all the other clones as subdominant responses (SD). We observed a distinctively hydrophobic CDR3 in ID responses against a dominant epitope from influenza A virus, compared to the SD responses. The common V-J combinations were shared between ID and SD responses, suggesting that the biased V-J recombination events are restricted by epitope specificity; thus, the immunodominance is not directly determined by a bias combination of V and J genetic segments. Our findings reveal a close similarity of global sequence properties between dominant and subdominant clones of epitope-specific responses but detectable distinctive amino acid enrichments in ID. Taken together, we believe this first comparative study of immunodominant and subdominant TCR sequences can guide further studies to resolve factors determining the immunodominance of antiviral as well as tumor-specific T cell responses.
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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.