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Human T cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity
The T cell receptor (TCR) repertoire encodes immune exposure history through the dynamic formation of immunological memory. Statistical analysis of repertoire sequencing data has the potential to decode disease associations from large cohorts with measured phenotypes. However, the repertoire perturb...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6162092/ https://www.ncbi.nlm.nih.gov/pubmed/30152754 http://dx.doi.org/10.7554/eLife.38358 |
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author | DeWitt, William S Smith, Anajane Schoch, Gary Hansen, John A Matsen, Frederick A Bradley, Philip |
author_facet | DeWitt, William S Smith, Anajane Schoch, Gary Hansen, John A Matsen, Frederick A Bradley, Philip |
author_sort | DeWitt, William S |
collection | PubMed |
description | The T cell receptor (TCR) repertoire encodes immune exposure history through the dynamic formation of immunological memory. Statistical analysis of repertoire sequencing data has the potential to decode disease associations from large cohorts with measured phenotypes. However, the repertoire perturbation induced by a given immunological challenge is conditioned on genetic background via major histocompatibility complex (MHC) polymorphism. We explore associations between MHC alleles, immune exposures, and shared TCRs in a large human cohort. Using a previously published repertoire sequencing dataset augmented with high-resolution MHC genotyping, our analysis reveals rich structure: striking imprints of common pathogens, clusters of co-occurring TCRs that may represent markers of shared immune exposures, and substantial variations in TCR-MHC association strength across MHC loci. Guided by atomic contacts in solved TCR:peptide-MHC structures, we identify sequence covariation between TCR and MHC. These insights and our analysis framework lay the groundwork for further explorations into TCR diversity. |
format | Online Article Text |
id | pubmed-6162092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-61620922018-10-01 Human T cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity DeWitt, William S Smith, Anajane Schoch, Gary Hansen, John A Matsen, Frederick A Bradley, Philip eLife Computational and Systems Biology The T cell receptor (TCR) repertoire encodes immune exposure history through the dynamic formation of immunological memory. Statistical analysis of repertoire sequencing data has the potential to decode disease associations from large cohorts with measured phenotypes. However, the repertoire perturbation induced by a given immunological challenge is conditioned on genetic background via major histocompatibility complex (MHC) polymorphism. We explore associations between MHC alleles, immune exposures, and shared TCRs in a large human cohort. Using a previously published repertoire sequencing dataset augmented with high-resolution MHC genotyping, our analysis reveals rich structure: striking imprints of common pathogens, clusters of co-occurring TCRs that may represent markers of shared immune exposures, and substantial variations in TCR-MHC association strength across MHC loci. Guided by atomic contacts in solved TCR:peptide-MHC structures, we identify sequence covariation between TCR and MHC. These insights and our analysis framework lay the groundwork for further explorations into TCR diversity. eLife Sciences Publications, Ltd 2018-08-28 /pmc/articles/PMC6162092/ /pubmed/30152754 http://dx.doi.org/10.7554/eLife.38358 Text en © 2018, DeWitt et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology DeWitt, William S Smith, Anajane Schoch, Gary Hansen, John A Matsen, Frederick A Bradley, Philip Human T cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity |
title | Human T cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity |
title_full | Human T cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity |
title_fullStr | Human T cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity |
title_full_unstemmed | Human T cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity |
title_short | Human T cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity |
title_sort | human t cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6162092/ https://www.ncbi.nlm.nih.gov/pubmed/30152754 http://dx.doi.org/10.7554/eLife.38358 |
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