PT  - JOURNAL ARTICLE
AU  - Mikhail V. Pogorelyy
AU  - Anastasia A. Minervina
AU  - Maximilian Puelma Touzel
AU  - Anastasiia L. Sycheva
AU  - Ekaterina A. Komech
AU  - Elena I. Kovalenko
AU  - Galina G. Karganova
AU  - Evgeniy S. Egorov
AU  - Alexander Yu. Komkov
AU  - Dmitriy M. Chudakov
AU  - Ilgar Z. Mamedov
AU  - Thierry Mora
AU  - Aleksandra M. Walczak
AU  - Yuri B. Lebedev
TI  - Precise tracking of vaccine-responding T-cell clones reveals convergent and personalized response in identical twins
AID  - 10.1101/300343
DP  - 2018 Jan 01
TA  - bioRxiv
PG  - 300343
4099  - http://biorxiv.org/content/early/2018/04/13/300343.short
4100  - http://biorxiv.org/content/early/2018/04/13/300343.full
AB  - 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 500-1500 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 post-infection, making it suitable for systematic discovery of new infection-specific TCRs in the clinic.