Biology subjects

Shagina, I. A.

Publications and source records attributed to Shagina, I. A..

6 recordsLinked to original sources

bioRxiv2026

Towards understanding of NK cell antigenic specificity

NK cells can form clonal populations demonstrating features of adaptive immunity, including long-term memory and at least partial antigenic specificity. Given the limited individual diversity of activating receptors, the nature of NK cell antigenic specificity remains elusive. To explore this riddle, we combined scRNA-Seq of ex vivo FACS-sorted NK cell subsets expressing specific KIR receptors, single-cell cloning and bulk RNA-Seq of in vitro cultured KIR2DS4 NK cell clones, transcriptomic profiling of antigen-stimulated NK cells, and in silico modeling of glycosylated KIR2DS4-peptide-HLA complexes. scRNA-Seq resolved 12-15 clusters per KIR subset with highly heterogeneous KIR, KLRC and NCR expression patterns, consistent with clonal lineages. Notably, those clusters demonstrated over 30 differentially expressed glycosyltransferase genes, potentially involved in post-translational modification of NK cell receptors. Single-cell-derived KIR2DS4 cultures exhibited clone-specific cytotoxic, chemokine and KIR receptor genes, and transcriptional differences in > 40 glycosyltransferases. In peptide culturing autologous assays, SARS-CoV-2 (KTFPPTEPK) and EBV (CRAKFKHLL) peptides elicited NK cell proliferation and distinct transcriptional programs linking cytotoxicity genes, KIR2DS4 and glycosyltransferases. Structural modeling revealed that N-linked glycosyl residues in specific regions of KIR2DS4 may alter its contacts and interaction with MHCI and the presented peptide. We conclude that KIR human NK cells comprise clonally imprinted populations with distinct glycosyltransferase expression profiles, and site-specific KIR2DS4 glycosylation may modulate interaction with peptide-MHCI complexes, suggesting a post-translational layer of clonal NK cell diversification as a clue to their antigenic specificity.

immunology↗

bioRxiv2025

BCR repertoire analysis and cloning of antibody candidates targeting native and Asp7-isomerized beta-amyloid

Computational approaches are increasingly used to predict monoclonal antibody (mAb) candidates from BCR-seq datasets. However, the reliable identification of B cells encoding antibodies against rare antigenic epitopes remains challenging. We employed a repertoire-guided workflow combining antigen-tetramer sorting of B cells from immunized mice, followed by low-input bulk BCR-seq yielding informative clonal repertoires. Clustering and supporting somatic hypermutation (SHM) lineage analysis allowed us to identify IGH and IGK clonotypes potentially targeting {beta}-amyloid and its isoAsp7 variant (isoD7-A{beta}1-16), implicated in Alzheimers disease. We observed recurrent IGHV8-12 and IGKV1-117 usage, consistent with canonical mouse anti-A{beta} responses. Focusing on isoD7-A{beta} binders, we selected ten candidate IGH-IGK pairs for recombinant expression. One recombinant mAb demonstrated preferential binding to isoD7-A{beta} by microscale thermophoresis, supporting the feasibility of the approach but underscoring the challenge of accurate chain pairing. This highlights the potential of bioinformatic workflows to identify mAbs even under low-input conditions.

immunology↗

bioRxiv2025

Discovery of rare antigen-specific TCRs via replicate profiling

Development of effective vaccines and targeted immunotherapies for cancer, autoimmunity, allergy, and infectious diseases requires comprehensive understanding of functionality and antigenic specificity of involved T cell clones. A major technical challenge remains the high-throughput identification of antigen-specific T cells. Here, we present a rapid cost-efficient TCR discovery assay starting from PBMC that enables ultra-sensitive discovery of clonal alpha-beta paired TCRs responding to individual or pooled peptides. In a small-scale experiment with a single donor, assay identified over 90 SARS-CoV-2-specific CD4+ and CD8+ TCR{beta} clonotypes, validated by clonal tracking and comparison against known SARS-CoV-2-specific TCRs. Positioning within the scRNA-Seq map revealed distinct helper T cell subsets involved in primary and secondary response. Further validation in a cohort of five donors identified nearly 1,000 CD4+ and CD8+ TCR clonotypes specific to viral and fungal peptide antigens. The assay demonstrated exceptional sensitivity in capturing low-frequency clones and allowed accurate TCR/TCR{beta} pairing, validated using single-cell transcriptomics. The ability to capture low-frequency antigen-specific TCRs, combined with detailed scRNA-Seq annotation, establishes an integrated pipeline that links antigen-responsive clones to their precise functional phenotypes. This platform provides a robust foundation for dissecting T cell roles in health and disease and accelerates the development of vaccines and immunotherapies.

immunology↗

bioRxiv2024

Tracking antigen-specific T cell response to cancer immunotherapy

In each human or model animal, T cell receptor (TCR) of each effector/memory T cell clone recognizes from one to several cognate peptide-MHC complexes (pMHC). Limited knowledge on TCR repertoire specificities restricts our capacity to rationally interpret this information, both diagnostically and in preclinical research. Here we 1) develop cost-efficient wet lab and computational pipeline to identify mouse TCRs specific to particular peptides, 2) produce dataset of helper T cells (Th) TCR beta CDR3s specific to B16 melanoma neoantigens in the I-Ab pMHCII context, available in VDJdb, and 3) apply this dataset to track tumor-specific T cell response to the CTLA4 blocking immunotherapy on orthotopic B16 melanoma model. We show that tumor promotes clonally independent Tregs carrying tumor-specific TCRs characteristic for Th cells. We further show that CTLA4 blockade promotes Th clonal expansion and induces general, non-tumor-specific Th-to-Treg plasticity. Altogether, we provide a universal pipeline for the investigation of mouse T cell responses at the antigen-specific level, facilitating development and validation of immunotherapeutic and vaccination approaches.

immunology↗

bioRxiv2023

Sort-Seq: immune repertoire-based scRNA-Seq systematization

The functional programs selected by CD4+ helper (Th) T cell clones fundamentally determine the architecture of the immune response to distinct challenges. Advances in scRNA-Seq have enhanced our understanding of the diversity of these programs, yet the correspondence between scRNA-Seq clusters and previously characterized Th subsets remains unclear. In this study, we use immune repertoires to position phenotypically sorted Th subsets within scRNA-Seq data from three healthy donors. This approach, termed TCR-Track, and accurately maps Th1, Th1-17, Th17, Th22, Th2a, Th2, Tfh, and Treg subsets, outperforming CITE-Seq-based mapping. Remarkably, the mapping is tightly focused on specific scRNA-Seq clusters despite a four-year interval between the sorting of subsets and the effector CD4+ scRNA-Seq experiment. Thus, while transient T cell plasticity is commonly observed in functionally active T cell populations, TCR-Track reveals high intrinsic program sustainability of Th clones circulating in peripheral blood. Repertoire overlap analysis at the scRNA-Seq level confirms that circulating Th1, Th2, Th2a, Th17, Th22, and Treg subsets are clonally independent. However, a prominent clonal overlap between corresponding clusters indicates that cytotoxic CD4+ T cells differentiate from Th1 clones. More specifically, we demonstrate that sorted CCR10+ Th cells correspond to a specific Th22 scRNA-Seq cluster, while CCR10-CCR6+CXCR3-CCR4+ cells, traditionally sorted as the Th17 subset, represent a mixture of bona fide Th17 and clonally unrelated CCR10low Th22 cells, which may have confounded investigators in previous studies. This clear distinction of Th17 and Th22 subsets should influence vaccine and T cell based therapies development. Additionally, we show that SARS-CoV-2 infection is associated with transient IFN type 1 activation of naive CD4+ T cells, and an increased proportion of effector IFN- induced Th cells is associated with a moderate course of the disease but remains low in critical COVID-19 cases. Using integrated scRNA-Seq, TCR-Track, and CITE-Seq data from 122 donors, we provide a comprehensive Th scRNA-Seq reference that should facilitate further investigation of Th subsets in fundamental and clinical studies.

immunology↗

bioRxiv2023

Systematic evaluation of intratumoral and peripheral BCR repertoires in three cancers

The current understanding of humoral immune response in cancer patients suggests that tumors may be infiltrated with diffuse B cells of extra-tumoral origin or may develop organized lymphoid structures, where somatic hypermutation and antigen-driven selection occur locally. These processes are believed to be significantly influenced by the tumor microenvironment through secretory factors and biased cell-cell interactions. To explore the manifestation of this influence, we used deep unbiased immunoglobulin profiling and systematically characterized the relationships between B cells in circulation, draining lymph nodes (draining LNs), and tumors in 14 patients with three human cancers. We demonstrated that draining LNs are differentially involved in the interaction with the tumor site, and that significant heterogeneity exists even between different parts of a single lymph node (LN). Next, we confirmed and elaborated upon previous observations regarding intratumoral immunoglobulin heterogeneity. We identified B cell receptor (BCR) clonotypes that were expanded in tumors relative to draining LNs and blood and observed that these tumor-expanded clonotypes were less hypermutated than non-expanded (ubiquitous) clonotypes. Furthermore, we observed a shift in the properties of complementarity-determining region 3 of the BCR heavy chain (CDR-H3) towards less mature and less specific BCR repertoire in tumor-infiltrating B-cells compared to circulating B-cells, which may indicate less stringent control for antibody-producing B cell development in tumor microenvironment (TME). In addition, we found repertoire-level evidence that B-cells may be selected according to their CDR-H3 physicochemical properties before they activate somatic hypermutation (SHM). Altogether, our work outlines a broad picture of the differences in the tumor BCR repertoire relative to non-tumor tissues and points to the unexpected features of the SHM process.

immunology↗