| Literature DB >> 28369038 |
Ryan O Emerson1, William S DeWitt1,2, Marissa Vignali1, Jenna Gravley3, Joyce K Hu1, Edward J Osborne1, Cindy Desmarais1, Mark Klinger1, Christopher S Carlson3, John A Hansen3, Mark Rieder1, Harlan S Robins1,2.
Abstract
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.Entities:
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Year: 2017 PMID: 28369038 DOI: 10.1038/ng.3822
Source DB: PubMed Journal: Nat Genet ISSN: 1061-4036 Impact factor: 38.330