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

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 lo...

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Bibliographic Details
Published in:arXiv.org 2018-04
Main Authors: Pogorelyy, Mikhail V, Minervina, Anastasia A, Touzel, Maximilian Puelma, Sycheva, Anastasiia L, Komech, Ekaterina A, Kovalenko, Elena I, Karganova, Galina G, Egorov, Evgeniy S, Alexander Yu Komkov, Chudakov, Dmitriy M, Mamedov, Ilgar Z, Mora, Thierry, Walczak, Aleksandra M, Lebedev, Yuri B
Format: Article
Language:English
Subjects:
Fever
Immunization
Statistical analysis
Statistical methods
T cell receptors
Vaccines
Online Access:Get full text
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Summary: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.
ISSN:2331-8422
DOI:10.48550/arxiv.1804.04485