ArticleJournal of immunology (Baltimore, Md. : 1950)2015
CD8+ TCR Bias and Immunodominance in HIV-1 Infection.
Article in Journal of immunology (Baltimore, Md. : 1950), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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Who cites it
19 citing papers in PubMed, 35 citations in OpenAlex.
- Advances in understanding the mechanism of action of adult vaccines.The Journal of clinical investigation · 2023Article
- Recruitment of naive CD4+ T cells by the recombinant zoster vaccine correlates with persistent immunity.The Journal of clinical investigation · 2023Article
- Structural Basis for Unusual TCR CDR3β Usage Against an Immunodominant HIV-1 Gag Protein Peptide Restricted to an HLA-B*81:01 Molecule.Frontiers in immunology · 2022Article
- HLA class-I-peptide stability mediates CD8Cell reports · 2021Article
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- Article
- Non-synonymous Substitutions in HIV-1 GAG Are Frequent in Epitopes Outside the Functionally Conserved Regions and Associated With Subtype Differences.Frontiers in microbiology · 2020Article
- A Systematic, Unbiased Mapping of CD8Frontiers in immunology · 2020Article
- Cytomegalovirus-Mediated T Cell Receptor Repertoire Perturbation Is Present in Early Life.Frontiers in immunology · 2020Article
- CDR3α drives selection of the immunodominant Epstein Barr virus (EBV) BRLF1-specific CD8 T cell receptor repertoire in primary infection.PLoS pathogens · 2019Article
- Immune Control of HIV.Journal of life sciences (Westlake Village, Calif.) · 2019Article
- Dual HLA B*42 and B*81-reactive T cell receptors recognize more diverse HIV-1 Gag escape variants.Nature communications · 2018Article
- Pol-Driven Replicative Capacity Impacts Disease Progression in HIV-1 Subtype C Infection.Journal of virology · 2018Article
- The Mutation-Associated Neoantigen Functional Expansion of Specific T Cells (MANAFEST) Assay: A Sensitive Platform for Monitoring Antitumor Immunity.Cancer immunology research · 2018Article
- Major TCR Repertoire Perturbation by Immunodominant HLA-BFrontiers in immunology · 2018Article
- T Cell Receptor Profiling in Type 1 Diabetes.Current diabetes reports · 2017Review
- Impact of pre-adapted HIV transmission.Nature medicine · 2016Article
- Public T cell receptors confer high-avidity CD4 responses to HIV controllers.The Journal of clinical investigation · 2016Article
- Role of HLA Adaptation in HIV Evolution.Frontiers in immunology · 2015Review
Corrections and comments
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Authors and funding
19 authors at 11 institutions in 7 countries.
Funding
Abstract
Immunodominance describes a phenomenon whereby the immune system consistently targets only a fraction of the available Ag pool derived from a given pathogen. In the case of CD8(+) T cells, these constrained epitope-targeting patterns are linked to HLA class I expression and determine disease progression. Despite the biological importance of these predetermined response hierarchies, little is known about the factors that control immunodominance in vivo. In this study, we conducted an extensive analysis of CD8(+) T cell responses restricted by a single HLA class I molecule to evaluate the mechanisms that contribute to epitope-targeting frequency and antiviral efficacy in HIV-1 infection. A clear immunodominance hierarchy was observed across 20 epitopes restricted by HLA-B*42:01, which is highly prevalent in populations of African origin. Moreover, in line with previous studies, Gag-specific responses and targeting breadth were associated with lower viral load set-points. However, peptide-HLA-B*42:01 binding affinity and stability were not significantly linked with targeting frequencies. Instead, immunodominance correlated with epitope-specific usage of public TCRs, defined as amino acid residue-identical TRB sequences that occur in multiple individuals. Collectively, these results provide important insights into a potential link between shared TCR recruitment, immunodominance, and antiviral efficacy in a major human infection.
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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.