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Signatures of B Cell Receptor Repertoire Following Pneumocystis Infection.

ABSTRACT: B cells play vital roles in host defense against Pneumocystis infection. However, the features of the B cell receptor (BCR) repertoire in disease progression remain unclear. Here, we integrated single-cell RNA sequencing and single-cell BCR sequencing of immune cells from mouse lungs in an uninfected state and 1-4 weeks post-infection in order to illustrate the dynamic nature of B cell responses during Pneumocystis infection. We identified continuously increased plasma cells and an elevated ratio of (IgA + IgG) to (IgD + IgM) after infection. Moreover, Pneumocystis infection was associated with an increasing naïve B subset characterized by elevated expression of the transcription factor ATF3. The proportion of clonal expanded cells progressively increased, while BCR diversity decreased. Plasma cells exhibited higher levels of somatic hypermutation than naïve B cells. Biased usage of V(D)J genes was observed, and the usage frequency of IGHV9-3 rose. Overall, these results present a detailed atlas of B cell transcriptional changes and BCR repertoire features in the context of Pneumocystis infection, which provides valuable information for finding diagnostic biomarkers and developing potential immunotherapeutic targets.

SUBMITTER: Sun H

PROVIDER: S-EPMC8202503 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Signatures of B cell receptor repertoire following Pneumocystis infection

Project description:B cells play vital roles in host defense against Pneumocystis infection, however, the features of B cell receptor (BCR) repertoire in the disease progression remain unclear. Here we integrated single-cell RNA sequencing and single-cell BCR sequencing of immune cells from mice lung at uninfected state and 1-4 weeks postinfection, in order to illustrate the dynamic nature of B cell responses during Pneumocystis infection. We identified continuously increased plasma cells and an elevated ratio of (IgA+ IgG) to (IgD+ IgM) after infection. Moreover, Pneumocystis infection was associated with an increase of a naïve B subset characterized by elevated expression of the transcription factor ATF3. The proportion of clonal expanded cells progressively increased, with the BCR diversity decreased. Biased usage of V(D)J genes was observed, and the usage frequency of IGHV9-3 was elevated. Overall, these results present a detailed atlas of B cell transcriptional changes and BCR repertoire features in the context of Pneumocystis infection.

2021-04-28 | GSE162533 | GEO

Signatures of B cell receptor repertoire following Pneumocystis infection

Project description:Signatures of B cell receptor repertoire following Pneumocystis infection

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Dynamic Perturbations of the T-Cell Receptor Repertoire in Chronic HIV Infection and following Antiretroviral Therapy.

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Machine learning identifies T cell receptor repertoire signatures associated with COVID-19 severity.

Project description:T cell receptor (TCR) repertoires are critical for antiviral immunity. Determining the TCR repertoire composition, diversity, and dynamics and how they change during viral infection can inform the molecular specificity of host responses to viruses such as SARS-CoV-2. To determine signatures associated with COVID-19 disease severity, here we perform a large-scale analysis of over 4.7 billion sequences across 2130 TCR repertoires from COVID-19 patients and healthy donors. TCR repertoire analyses from these data identify and characterize convergent COVID-19-associated CDR3 gene usages, specificity groups, and sequence patterns. Here we show that T cell clonal expansion is associated with the upregulation of T cell effector function, TCR signaling, NF-kB signaling, and interferon-gamma signaling pathways. We also demonstrate that machine learning approaches accurately predict COVID-19 infection based on TCR sequence features, with certain high-power models reaching near-perfect AUROC scores. These analyses provide a systems immunology view of T cell adaptive immune responses to COVID-19.

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Single-cell TCR sequencing reveals the dynamics of T cell repertoire profiling during Pneumocystis infection

Project description:T cell response exert critical roles in the host adaptive immunity against Pneumocystis. However, the dynamics and diversity of T cell immune repertoire in HIV-negative Pneumocystis remains unknown. In this study, single-cell RNA and T cell receptor (TCR) sequencing were applied on cells sorted from lung tissues of mice infected with Pneumocystis from 0 to 4 weeks. Our data demonstrated clonally CD4+ T cells and CD8+ T cells expanded in response to Pneumocystis, which marked by highly expressed genes associated with T cell activation and cytotoxicity. The length distribution of CDR3 AA and gene usage variability were similar between Pneumocystis infected mice and control group. We tracked the transcriptome and TCR immune repertoires profiles of expanded lymphocyte clones during Pneumocystis infection, which demonstrate a reconstitution of the TCR immune repertoire after Pneumocystis infection.

2021-03-26 | GSE156843 | GEO

The temporal behavior of the murine T cell receptor repertoire following Immunotherapy.

Project description:Immunotherapy is now an essential tool for cancer treatment, and the unique features of an individual's T cell receptor repertoire are known to play a key role in its effectiveness. The repertoire, famously vast due to a cascade of cellular mechanisms, can be quantified using repertoire sequencing. In this study, we sampled the repertoire over several time points following treatment with anti-CTLA-4, in a syngeniec mouse model for colorectal cancer, generating a longitudinal dataset of T cell clones and their abundance. The dynamics of the repertoire can be observed in response to treatment over a period of four weeks, as clonal expansion of specific clones ascends and descends. The data made available here can be used to determine treatment and predict its effect, while also providing a unique look at the behavior of the immune system over time.

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Specificity, Privacy, and Degeneracy in the CD4 T Cell Receptor Repertoire Following Immunization.

Project description:T cells recognize antigen using a large and diverse set of antigen-specific receptors created by a complex process of imprecise somatic cell gene rearrangements. In response to antigen-/receptor-binding-specific T cells then divide to form memory and effector populations. We apply high-throughput sequencing to investigate the global changes in T cell receptor sequences following immunization with ovalbumin (OVA) and adjuvant, to understand how adaptive immunity achieves specificity. Each immunized mouse contained a predominantly private but related set of expanded CDR3β sequences. We used machine learning to identify common patterns which distinguished repertoires from mice immunized with adjuvant with and without OVA. The CDR3β sequences were deconstructed into sets of overlapping contiguous amino acid triplets. The frequencies of these motifs were used to train the linear programming boosting (LPBoost) algorithm LPBoost to classify between TCR repertoires. LPBoost could distinguish between the two classes of repertoire with accuracies above 80%, using a small subset of triplet sequences present at defined positions along the CDR3. The results suggest a model in which such motifs confer degenerate antigen specificity in the context of a highly diverse and largely private set of T cell receptors.

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T Cell Receptor Repertoire Analysis Reveals Signatures of T Cell Responses to Human <i>Mycobacterium tuberculosis</i>.

Project description:Characterization of T cell receptor (TCR) repertoires is essential for understanding the mechanisms of Mycobacterium tuberculosis (Mtb) infection involving T cell adaptive immunity. The characteristics of TCR sequences and distinctive signatures of T cell subsets in tuberculous patients are still unclear. By combining single-cell TCR sequencing (sc-TCR seq) with single-cell RNA sequencing (sc-RNA seq) and flow cytometry to characterize T cells in tuberculous pleural effusions (TPEs), we identified 41,718 CD3+ T cells in TPEs and paired blood samples, including 30,515 CD4+ T cells and 11,203 CD8+ T cells. Compared with controls, no differences in length and profile of length distribution were observed in complementarity determining region 3 (CDR3) in both CD4+ and CD8+ T cells in TPE. Altered hydrophobicity was demonstrated in CDR3 in CD8+ T cells and a significant imbalance in the TCR usage pattern of T cells with preferential expression of TRBV4-1 in TPE. A significant increase in clonality was observed in TCR repertoires in CD4+ T cells, but not in CD8+ T cells, although both enriched CD4+ and CD8+ T cells showed TH1 and cytotoxic signatures. Furthermore, we identified a new subset of polyfunctional CD4+ T cells with CD1-restricted, TH1, and cytotoxic characteristics, and this subset might provide protective immunity against Mtb.

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