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Biology subjects

Zvyagin, I. V.

Publications and source records attributed to Zvyagin, I. V..

4 recordsLinked to original sources

Abundance of human T-cell epitopes in microbial proteomes

Molecular mimicry, the structural similarity between self and foreign antigens, is considered as a key factor in post-infectious autoimmunity. While certain examples of molecular mimicry are well studied, a comprehensive analysis of its prevalence and impact on the type of T cell response to such self is absent. In this work, we comprehensively studied the frequency of molecular mimicry between human and microbial T-cell epitopes. We performed an in silico analysis of the occurrence of T-cell epitopes originating from different sets of proteins: normal self epitopes, proteins involved in autoimmunity, and cancer neoantigens, in the proteomes of commensal and pathogenic microbiota. We show a significant overlap between repertoires of human T-cell epitopes and predicted epitopes from proteins of both commensal and pathogenic microbiota: the counterparts for over 90% of human HLA-I and 5% of HLA-II ligands were found in the microbial proteomes. HLA-II epitopes derived from the proteins involved in autoimmunity were more frequent in microbiota compared to normal self, suggesting a potential deleterious effect of molecular mimicry, while we did not observe this effect for HLA-I epitopes. Cancer epitopes were less frequent in microbiota compared to normal self of epitopes, implicating potential cancer escape from cross-reactive T cells specific to microbial antigens. Together, our results show that molecular mimicry might have a general pro-inflammatory effect on similar self epitopes, though much in this field remains to be explored.

immunology↗

Large-scale template-based structural modeling of T-cell receptors with known antigen specificity reveals complementarity features.

T-cell receptor (TCR) recognition of foreign peptides presented by the major histocompatibility complex (MHC) initiates the adaptive immune response against pathogens. A large number of TCR sequences specific to different antigens are known to date, however, the structural data describing the conformation and contacting residues for TCR:antigen:MHC complexes is relatively limited. In the present study we aim to extend and analyze the set of available structures by performing highly accurate template-based modeling of TCR:antigen:MHC complexes using TCR sequences with known specificity. Using the set of 29 complex templates (including a template with SARS-CoV-2 antigen) and 732 specificity records, we built a database of 1585 model structures carrying substitutions in either TCR or TCR{beta} chains with some models representing the result of different mutation pathways for the same final structure. This database allowed us to analyze features of amino acid contacts in TCR:antigen interfaces that govern antigen recognition preferences and interpret these interactions in terms of physicochemical properties of interacting residues. Our results provide a methodology for creating high-quality TCR:antigen:MHC models for antigens of interest that can be utilized to predict TCR specificity.

bioinformatics↗

Predicting TCR-peptide recognition based on residue-level pairwise statistical potential

Prediction of TCR-peptide interactions has great importance for therapy of cancer, infectious and autoimmune diseases, but remains a major challenge, particularly for unseen epitopes. We present a structure-based method that enables scoring of TCR-peptide interactions using an energy potential (TCRen) derived from statistics of TCR-peptide contacts in existing crystal structures. We show that TCRen has high performance in discriminating cognate/unrelated peptides and can facilitate the identification of cancer neoepitopes recognized by tumor-infiltrating lymphocytes.

immunology↗

Memory persistence and differentiation into antibody-secreting cells accompanied by positive selection in longitudinal BCR repertoires

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 BCRs to protect against current and future pathogens.

immunology↗