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Mikelov AI, Alekseeva EI, Komech EA, Staroverov DB, Turchaninova MA, Shugay M, Chudakov DM, Bazykin GA, Zvyagin IV. Memory persistence and differentiation into antibody-secreting cells accompanied by positive selection in longitudinal BCR repertoires. eLife 2022; 11:79254. [PMID: 36107479 PMCID: PMC9525062 DOI: 10.7554/elife.79254] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 09/11/2022] [Indexed: 11/18/2022] Open
Abstract
The stability and plasticity of B cell-mediated immune memory ensures the ability to respond to the repeated challenges. We have analyzed the longitudinal dynamics of immunoglobulin heavy chain repertoires from memory B cells, plasmablasts, and plasma cells from the peripheral blood of generally healthy volunteers. We reveal a high degree of clonal persistence in individual memory B cell subsets, with inter-individual convergence in memory and antibody-secreting cells (ASCs). ASC clonotypes demonstrate clonal relatedness to memory B cells, and are transient in peripheral blood. We identify two clusters of expanded clonal lineages with differing prevalence of memory B cells, isotypes, and persistence. Phylogenetic analysis revealed signs of reactivation of persisting memory B cell-enriched clonal lineages, accompanied by new rounds of affinity maturation during proliferation and differentiation into ASCs. Negative selection contributes to both persisting and reactivated lineages, preserving the functionality and specificity of B cell receptors (BCRs) to protect against current and future pathogens.
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Affiliation(s)
| | | | | | | | | | | | | | - Georgii A Bazykin
- Institute of Translational Medicine, Pirogov Russian National Research Medical University
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Kovalenko EI, Zvyagin IV, Streltsova MA, Mikelov AI, Erokhina SA, Telford WG, Sapozhnikov AM, Lebedev YB. Surface NKG2C Identifies Differentiated αβT-Cell Clones Expanded in Peripheral Blood. Front Immunol 2021; 11:613882. [PMID: 33664730 PMCID: PMC7921799 DOI: 10.3389/fimmu.2020.613882] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Accepted: 12/29/2020] [Indexed: 12/24/2022] Open
Abstract
T cells that express CD56 in peripheral blood of healthy humans represent a heterogeneous and poorly studied subset. In this work, we analyzed this subset for NKG2C expression. In both CD56+ and CD56- subsets most of the NKG2C+ T cells had a phenotype of highly differentiated CD8+ TEMRA cells. The CD56+NKG2C+ T cells also expressed a number of NK cell receptors, such as NKG2D, CD16, KIR2DL2/DL3, and maturation marker CD57 more often than the CD56-NKG2C+CD3+ cells. TCR β-chain repertoire of the CD3+CD56+NKG2C+ cell fraction was limited by the prevalence of one or several clonotypes which can be found within the most abundant clonotypes in total or CD8+ T cell fraction TCRβ repertoire. Thus, NKG2C expression in highly differentiated CD56+ T cells was associated with the most expanded αβ T cell clones. NKG2C+ T cells produced almost no IFN-γ in response to stimulation with HCMV pp65-derived peptides. This may be partially due to the high content of CD45RA+CD57+ cells in the fraction. CD3+NKG2C+ cells showed signs of activation, and the frequency of this T-cell subset in HCMV-positive individuals was positively correlated with the frequency of NKG2C+ NK cells that may imply a coordinated in a certain extent development of the NKG2C+ T and NK cell subsets under HCMV infection.
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Affiliation(s)
- Elena I. Kovalenko
- Department of Immunology, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
| | - Ivan V. Zvyagin
- Department of Genomics of Adaptive Immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
| | - Maria A. Streltsova
- Department of Immunology, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
| | - Artem I. Mikelov
- Department of Genomics of Adaptive Immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia
| | - Sofya A. Erokhina
- Department of Immunology, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
| | - William G. Telford
- Experimental Transplantation and Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States
| | - Alexander M. Sapozhnikov
- Department of Immunology, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
| | - Yury B. Lebedev
- Department of Genomics of Adaptive Immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
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Mikelov AI, Staroverov DB, Komech EA, Lebedev Y, Chudakov DM, Zvyagin IV. Correlated dynamics of serum IGE and IGE+ clonotype count with allergen air level in seasonal allergic rhinitis. BRSMU 2019. [DOI: 10.24075/brsmu.2019.072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Mechanisms of maintenance of immunological memory in the chronic course of seasonal allergic rhinitis remain poorly understood. The detailed understanding of these mechanisms is required for design of new approaches for allergy treatment. It is known that the level of allergen-specific IgE antibodies (sIgE), which play a key role in the development of the disease, is increased in patients with seasonal allergic rhinitis during pollination season. This study aimed to investigate the dynamics of serum IgE levels and characteristics of the clonal repertoire of IgE-secreting lymphocytes depending on the intensity of the patient's contact with the allergen. For three patients, allergic to birch pollen (22, 22, and 28 y.o.), we measured total IgE and birch pollen specific IgE levels at 6 time points with 2 week interval during the birch pollination season. Immunoglobulin heavy chain gene (IGH) clonal repertoire data for several B-cell subpopulations at different time points were obtained for one patient. We observe growth of the sIgE level (91%, 37%, and 64% compared to the baseline) at the peak of pollination season in all three donors. Initial increase in sIgE and IgE levels coincides with the birch pollination initiation; sIgE and total IgE levels correlate with the birch pollen air level (sIgE: R2 = 0.98 at p < 0.05; total IgE: R2 = 0.95 at p < 0.05). We detected IgE clonotypes only in samples obtained during the birch pollination, which indicates an increase of IGE-expressing cells concentration during this period. The frequency of IgE clonotypes was extremely low compared to that of the clonotypes of other isotypes (IgE — 0.01%, IgM — 48.4%, IgD — 14%, IgG — 17.4%, IgA — 19.8%). Hypermutation and phylogenetic analysis of the sequences from the 13 detected IgE-containing clonal groups showed that these IgE clonotypes could originate from IgG as a result of sequential isotype-switching.
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Affiliation(s)
- AI Mikelov
- Skoltech, Moscow, Russia; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
| | | | - EA Komech
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia; Pirogov Russian National Research Medical University, Moscow, Russia
| | - YuB Lebedev
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia; Pirogov Russian National Research Medical University, Moscow, Russia
| | - DM Chudakov
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia; Pirogov Russian National Research Medical University, Moscow, Russia
| | - IV Zvyagin
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia; Pirogov Russian National Research Medical University, Moscow, Russia
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Pogorelyy MV, Fedorova AD, McLaren JE, Ladell K, Bagaev DV, Eliseev AV, Mikelov AI, Koneva AE, Zvyagin IV, Price DA, Chudakov DM, Shugay M. Exploring the pre-immune landscape of antigen-specific T cells. Genome Med 2018; 10:68. [PMID: 30144804 PMCID: PMC6109350 DOI: 10.1186/s13073-018-0577-7] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 08/06/2018] [Indexed: 12/26/2022] Open
Abstract
Background Adaptive immune responses to newly encountered pathogens depend on the mobilization of antigen-specific clonotypes from a vastly diverse pool of naive T cells. Using recent advances in immune repertoire sequencing technologies, models of the immune receptor rearrangement process, and a database of annotated T cell receptor (TCR) sequences with known specificities, we explored the baseline frequencies of T cells specific for defined human leukocyte antigen (HLA) class I-restricted epitopes in healthy individuals. Methods We used a database of TCR sequences with known antigen specificities and a probabilistic TCR rearrangement model to estimate the baseline frequencies of TCRs specific to distinct antigens epitopespecificT-cells. We verified our estimates using a publicly available collection of TCR repertoires from healthy individuals. We also interrogated a database of immunogenic and non-immunogenic peptides is used to link baseline T-cell frequencies with epitope immunogenicity. Results Our findings revealed a high degree of variability in the prevalence of T cells specific for different antigens that could be explained by the physicochemical properties of the corresponding HLA class I-bound peptides. The occurrence of certain rearrangements was influenced by ancestry and HLA class I restriction, and umbilical cord blood samples contained higher frequencies of common pathogen-specific TCRs. We also identified a quantitative link between specific T cell frequencies and the immunogenicity of cognate epitopes presented by defined HLA class I molecules. Conclusions Our results suggest that the population frequencies of specific T cells are strikingly non-uniform across epitopes that are known to elicit immune responses. This inference leads to a new definition of epitope immunogenicity based on specific TCR frequencies, which can be estimated with a high degree of accuracy in silico, thereby providing a novel framework to integrate computational and experimental genomics with basic and translational research efforts in the field of T cell immunology. Electronic supplementary material The online version of this article (10.1186/s13073-018-0577-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | - Alla D Fedorova
- Department of Genomics of Adaptive Immunity, IBCH RAS, Moscow, Russia
| | - James E McLaren
- Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK
| | - Kristin Ladell
- Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK
| | - Dmitri V Bagaev
- Department of Genomics of Adaptive Immunity, IBCH RAS, Moscow, Russia
| | - Alexey V Eliseev
- Department of Genomics of Adaptive Immunity, IBCH RAS, Moscow, Russia.,Department of Molecular Technologies, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Artem I Mikelov
- Department of Genomics of Adaptive Immunity, IBCH RAS, Moscow, Russia.,Center for Data-Intensive Biomedicine and Biotechnology, Skoltech, Moscow, Russia
| | - Anna E Koneva
- Department of Genomics of Adaptive Immunity, IBCH RAS, Moscow, Russia
| | - Ivan V Zvyagin
- Department of Genomics of Adaptive Immunity, IBCH RAS, Moscow, Russia.,Department of Molecular Technologies, Pirogov Russian National Research Medical University, Moscow, Russia
| | - David A Price
- Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.,Systems Immunity Research Institute, Cardiff University School of Medicine, Cardiff, UK
| | - Dmitry M Chudakov
- Department of Genomics of Adaptive Immunity, IBCH RAS, Moscow, Russia.,Department of Molecular Technologies, Pirogov Russian National Research Medical University, Moscow, Russia.,Center for Data-Intensive Biomedicine and Biotechnology, Skoltech, Moscow, Russia.,Central European Institute of Technology, CEITEC, Brno, Czech Republic
| | - Mikhail Shugay
- Department of Genomics of Adaptive Immunity, IBCH RAS, Moscow, Russia. .,Department of Molecular Technologies, Pirogov Russian National Research Medical University, Moscow, Russia. .,Center for Data-Intensive Biomedicine and Biotechnology, Skoltech, Moscow, Russia.
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