Precise tracking of vaccine-responding T cell clones reveals convergent and personalized response in identical twins

Mikhail V. Pogorelyy, Anastasia A. Minervina, Maximilian Puelma Touzel, Anastasiia L. Sycheva, Ekaterina A. Komech, Elena I. Kovalenko, Galina G. Karganova, Evgeniy S. Egorov, Alexander Yu Komkov, Dmitriy M. Chudakov, Ilgar Z. Mamedov, Thierry Mora, Aleksandra M. Walczak, Yuri B. Lebedev

    Research output: Contribution to journalArticlepeer-review

    50 Citations (Scopus)

    Abstract

    T cell receptor (TCR) repertoire data contain information about infections that could be used in disease diagnostics and vaccine development, but extracting that information remains a major challenge. Here we developed a statistical framework to detect TCR clone proliferation and contraction from longitudinal repertoire data. We applied this framework to data from three pairs of identical twins immunized with the yellow fever vaccine. We identified 600 to 1,700 responding TCRs in each donor and validated them using three independent assays. While the responding TCRs were mostly private, albeit with higher overlap between twins, they could be well-predicted using a classifier based on sequence similarity. Our method can also be applied to samples obtained postinfection, making it suitable for systematic discovery of new infection-specific TCRs in the clinic.

    Original languageEnglish
    Pages (from-to)12704-12709
    Number of pages6
    JournalProceedings of the National Academy of Sciences of the United States of America
    Volume115
    Issue number50
    DOIs
    Publication statusPublished - 11 Dec 2018

    Keywords

    • High-throughput sequencing
    • RepSeq
    • T cell receptor
    • Twins
    • Vaccination

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