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

Ryan O EmersonWilliam S DeWittMarissa VignaliJenna GravleyJoyce K HuEdward J OsborneCindy DesmaraisMark KlingerChristopher S CarlsonJohn A HansenMark RiederHarlan S Robins
Published in: Nature genetics (2017)
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.
Keyphrases
  • regulatory t cells
  • genome wide
  • epstein barr virus
  • healthcare
  • candida albicans
  • machine learning
  • deep learning
  • dna damage
  • mental health
  • dna repair
  • working memory