Ekaterina A Komech1,2, Mikhail V Pogorelyy2, Evgeniy S Egorov1,2, Olga V Britanova1,2, Denis V Rebrikov1,3, Anna G Bochkova4, Evgeniya I Shmidt5, Nadejda A Shostak5, Mikhail Shugay1,2,6, Sergey Lukyanov1, Ilgar Z Mamedov1,2,3, Yuriy B Lebedev1,2,7, Dmitriy M Chudakov1,2,6,8, Ivan V Zvyagin1,2. 1. Molecular Technologies Department, Translational Medicine Institute, Pirogov Russian National Research Medical University, Moscow, Russia. 2. Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia. 3. Gynecology and Perinatology, Kulakov Research Center for Obstetrics, Moscow, Russia. 4. V.A. Nasonova Research Institute of Rheumatology, Moscow, Russia. 5. City Clinical Hospital #1, Pirogov Russian National Research Medical University, Moscow, Russia. 6. Center for Data-Intensive Biomedicine and Biotechnology, Skolkovo Institute of Science and Technology, Moscow, Russia. 7. Biological Department, Lomonosov Moscow State University, Moscow, Russia. 8. Adaptive Immunity Group, Central European Institute of Technology, Brno, Czech Republic.
Abstract
Objective: The risk of AS is associated with genomic variants related to antigen presentation and specific cytokine signalling pathways, suggesting the involvement of cellular immunity in disease initiation/progression. The aim of the present study was to explore the repertoire of TCR sequences in healthy donors and AS patients to uncover AS-linked TCR variants. Methods: Using quantitative molecular-barcoded 5'-RACE, we performed deep TCR β repertoire profiling of peripheral blood (PB) and SF samples for 25 AS patients and 108 healthy donors. AS-linked TCR variants were identified using a new computational approach that relies on a probabilistic model of the VDJ rearrangement process. Results: Using the donor-agnostic probabilistic model, we reveal a TCR β motif characteristic for PB of AS patients, represented by eight highly homologous amino acid sequence variants. Some of these variants were previously reported in SF and PB of patients with ReA and in PB of AS patients. We demonstrate that identified AS-linked clones have a CD8+ phenotype, present at relatively low frequencies in PB, and are significantly enriched in matched SF samples of AS patients. Conclusion: Our results suggest the involvement of a particular antigen-specific subset of CD8+ T cells in AS pathogenesis, confirming and expanding earlier findings. The high similarity of the clonotypes with the ones found in ReA implies common mechanisms for the initiation of the diseases.
Objective: The risk of AS is associated with genomic variants related to antigen presentation and specific cytokine signalling pathways, suggesting the involvement of cellular immunity in disease initiation/progression. The aim of the present study was to explore the repertoire of TCR sequences in healthy donors and AS patients to uncover AS-linked TCR variants. Methods: Using quantitative molecular-barcoded 5'-RACE, we performed deep TCR β repertoire profiling of peripheral blood (PB) and SF samples for 25 AS patients and 108 healthy donors. AS-linked TCR variants were identified using a new computational approach that relies on a probabilistic model of the VDJ rearrangement process. Results: Using the donor-agnostic probabilistic model, we reveal a TCR β motif characteristic for PB of AS patients, represented by eight highly homologous amino acid sequence variants. Some of these variants were previously reported in SF and PB of patients with ReA and in PB of AS patients. We demonstrate that identified AS-linked clones have a CD8+ phenotype, present at relatively low frequencies in PB, and are significantly enriched in matched SF samples of AS patients. Conclusion: Our results suggest the involvement of a particular antigen-specific subset of CD8+ T cells in AS pathogenesis, confirming and expanding earlier findings. The high similarity of the clonotypes with the ones found in ReA implies common mechanisms for the initiation of the diseases.
Authors: Mikhail V Pogorelyy; Anastasia A Minervina; Mikhail Shugay; Dmitriy M Chudakov; Yuri B Lebedev; Thierry Mora; Aleksandra M Walczak Journal: PLoS Biol Date: 2019-06-13 Impact factor: 8.029
Authors: Zachary Sethna; Yuval Elhanati; Curtis G Callan; Aleksandra M Walczak; Thierry Mora Journal: Bioinformatics Date: 2019-09-01 Impact factor: 6.937
Authors: Tiina Kelkka; Paula Savola; Dipabarna Bhattacharya; Jani Huuhtanen; Tapio Lönnberg; Matti Kankainen; Kirsi Paalanen; Mikko Tyster; Maija Lepistö; Pekka Ellonen; Johannes Smolander; Samuli Eldfors; Bhagwan Yadav; Sofia Khan; Riitta Koivuniemi; Christopher Sjöwall; Laura L Elo; Harri Lähdesmäki; Yuka Maeda; Hiroyashi Nishikawa; Marjatta Leirisalo-Repo; Tuulikki Sokka-Isler; Satu Mustjoki Journal: Front Immunol Date: 2020-11-19 Impact factor: 7.561
Authors: Elisa Rosati; Mikhail V Pogorelyy; C Marie Dowds; Frederik T Moller; Signe B Sorensen; Yuri B Lebedev; Norbert Frey; Stefan Schreiber; Martina E Spehlmann; Vibeke Andersen; Ilgar Z Mamedov; Andre Franke Journal: J Crohns Colitis Date: 2020-07-09 Impact factor: 9.071