Immunosequencing identifies signatures of cytomegalovirus exposure history and HLA-mediated effects on the T cell repertoire

Ryan Emerson and colleagues report immunosequencing of the variable region of the TCRβ chain in 666 individuals with known cytomegalovirus (CMV) status. They show that CMV status and HLA genotype shape the T cell repertoire and demonstrate proof of principle that TCRβ sequencing can be used as a spe...

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Published inNature genetics Vol. 49; no. 5; pp. 659 - 665
Main Authors Emerson, Ryan O, DeWitt, William S, Vignali, Marissa, Gravley, Jenna, Hu, Joyce K, Osborne, Edward J, Desmarais, Cindy, Klinger, Mark, Carlson, Christopher S, Hansen, John A, Rieder, Mark, Robins, Harlan S
Format Journal Article
LanguageEnglish
Published New York Nature Publishing Group US 01.05.2017
Nature Publishing Group
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Summary:Ryan Emerson and colleagues report immunosequencing of the variable region of the TCRβ chain in 666 individuals with known cytomegalovirus (CMV) status. They show that CMV status and HLA genotype shape the T cell repertoire and demonstrate proof of principle that TCRβ sequencing can be used as a specific diagnostic of pathogen exposure. An individual's T cell repertoire dynamically encodes their pathogen exposure history. To determine whether pathogen exposure signatures can be identified by documenting public T cell receptors (TCRs), we profiled the T cell repertoire of 666 subjects with known cytomegalovirus (CMV) serostatus by immunosequencing. We developed a statistical classification framework that could diagnose CMV status from the resulting catalog of TCRβ sequences with high specificity and sensitivity in both the original cohort and a validation cohort of 120 different subjects. We also confirmed that three of the identified CMV-associated TCRβ molecules bind CMV in vitro , and, moreover, we used this approach to accurately predict the HLA-A and HLA-B alleles of most subjects in the first cohort. As all memory T cell responses are encoded in the common format of somatic TCR recombination, our approach could potentially be generalized to a wide variety of disease states, as well as other immunological phenotypes, as a highly parallelizable diagnostic strategy.
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ISSN:1061-4036
1546-1718
1546-1718
DOI:10.1038/ng.3822