BCR Repertoire Research Articles

Evolving antibody response to SARS-CoV-2 antigenic shift from XBB to JN.1.

The continuous evolution of SARS-CoV-2, particularly the emergence of BA.2.86/JN.1 lineage replacing XBB, necessitates re-evaluation of vaccine compositions 1-3. Here, we provide a comprehensive analysis of the humoral immune response to XBB and JN.1 human exposure. We demonstrate the antigenic distinctiveness of XBB and JN.1 lineages in SARS-CoV-2-naive individuals, and JN.1 infection elicits superior plasma neutralization against its subvariants. We highlight KP.3's strong immune evasion and receptor binding capability, supporting its foreseeable prevalence. Extensive analysis of the BCR repertoire, isolating ~2000 RBD-specific antibodies with their targeting epitopes characterized by deep mutational scanning (DMS), underscores the superiority of JN.1-elicited memory B cells 4,5. Class 1 IGHV3-53/3-66-derived neutralizing antibodies (NAbs) contribute majorly within wildtype-reactive NAbs against JN.1. However, KP.2 and KP.3 evade a substantial subset, even those induced by JN.1, advocating for booster updates to KP.2/KP.3. JN.1-induced Omicron-specific antibodies also demonstrate high potency across Omicron. Escape hotspots of these NAbs have already been mutated, resulting in higher immune barrier to escape, considering probable recovery of escaped NAbs. Additionally, the prevalence of IGHV3-53/3-66-derived antibodies, and their capability of competing with all Omicron-specific NAbs suggests their inhibitory role on the activation of Omicron-specific naive B cells, potentially explaining the heavy immune imprinting in mRNA-vaccinated individuals 6-8. These findings delineate the evolving antibody response to Omicron antigenic shift from XBB to JN.1, and highlight the importance of developing JN.1-lineage, especially KP.2/KP.3-based vaccine boosters.

Ultrasensitive allele inference from immune repertoire sequencing data with MiXCR.

Allelic variability in the adaptive immune receptor loci, which harbor the gene segments that encode B cell and T cell receptors (BCR/TCR), is of critical importance for immune responses to pathogens and vaccines. Adaptive immune receptor repertoire sequencing (AIRR-seq) has become widespread in immunology research making it the most readily available source of information about allelic diversity in immunoglobulin (IG) and T cell receptor (TR) loci. Here we present a novel algorithm for extra-sensitive and specific variable (V) and joining (J) gene allele inference, allowing reconstruction of individual high-quality gene segment libraries. The approach can be applied for inferring allelic variants from peripheral blood lymphocyte BCR and TCR repertoire sequencing data, including hypermutated isotype-switched BCR sequences, thus allowing high-throughput novel allele discovery from a wide variety of existing datasets. The developed algorithm is a part of the MiXCR software. We demonstrate the accuracy of this approach using AIRR-seq paired with long-read genomic sequencing data, comparing it to a widely used algorithm, TIgGER. We applied the algorithm to a large set of IG heavy chain (IGH) AIRR-seq data from 450 donors of ancestrally diverse population groups, and to the largest reported full-length TCR alpha and beta chain (TRA; TRB) AIRR-seq dataset, representing 134 individuals. This allowed us to assess the genetic diversity within the IGH, TRA and TRB loci in different populations and to establish a database of alleles of V and J genes inferred from AIRR-seq data and their population frequencies with free public access through an online database.

Single-cell transcriptomics reveal potent extrafollicular B cell response linked with granzyme K+ CD8 T cell activation in lupus kidney

ObjectivesB and T cells constitute the majority of infiltrating lymphocytes in the kidney and represent the local perpetrators in lupus nephritis (LN), but the underlying pathogenic mechanisms are not well...

B-246 Pab to mab conversion via mass spectrometry: direct antibody discovery from serum

Abstract Background Navigating the intricacies of discovering unique and functional antibody binders for in vitro diagnostic development comes with several technological challenges, such as limited diversity of antibody repertoires, functional screening challenges, and the absence of suitable in vitro models. A proteomics-driven strategy to antibody discovery is a promising solution to overcome these obstacles by facilitating polyclonal to monoclonal antibody conversion. De novo polyclonal antibody sequencing utilizes mass spectrometry and machine-learning driven bioinformatics to obtain complete antibody sequences from immunoserum or purified protein samples. This approach investigates the entire circulating antibody repertoire at the protein level, thereby broadening the spectrum of potential candidates. It further facilitates functional selection by enabling antibody purification and enrichment techniques. This capability facilitates the identification of antibodies possessing unique functions, crucial for subsequent downstream development. We demonstrate the application and de novo polyclonal antibody sequencing using mass spectrometry and machine learning bioinformatics to enable the next generation of antibody discovery. Methods In this study, we employed a novel mass spectrometry-based approach, REpAb, to de novo sequence polyclonal antibodies directly from the immunized serum of animals or human patients. REpAb integrates mass spectrometry with machine learning-based bioinformatics to de novo sequence and assemble monoclonal antibodies from a polyclonal mixture. Protein lysates underwent analysis using an Orbitrap EclipseTM Series instrument (ThermoFisher Scientific, CA, US) coupled with the LC Evosep One (Evosep, Denmark). Results De novo polyclonal sequencing with REpAb yielded unique antibody binders not found in splenocytes or peripheral blood mononuclear cells (PBMCs). De novo antibody sequencing-discovered antibody sequences from naturally exposed humans showed unrestricted germline usage, compared to restricted germline used in antigen-immunized animals. Additionally, a proteomics-based approach for antibody discovery enables functional antibody selection through standard protein A/G purification, followed by negative and positive selection enrichment strategies to isolate antibody clones specific to the region of interest on the antigen. Conclusions Sequencing antibodies at the protein level directly reflects the circulating antibody repertoires, which expands the antibody diversity from the BCR repertoire. Proteomic-based antibody discovery empowers the functional selection of antibodies via meticulously designed enrichment strategies. This approach allows for the identification of a diverse pool of candidates possessing specific functions, such as anti-idiotypic features.

Estimates of Sequences with Ultralong and Short CDR3s in the Bovine IgM B Cell Receptor Repertoire Using the Long-read Oxford Nanopore MinION Platform.

Cattle produce Abs with an H chain ultralong CDR3 (40-70 aa). These Abs have been shown to have features such as broad neutralization of viruses and are investigated as human therapeutics. A common issue in sequencing the bovine BCR repertoire is the sequence length required to capture variable (V) and isotype gene information. This study aimed to assess the use of Oxford Nanopore Technologies' MinION platform to perform IgM BCR repertoire sequencing to assess variation in the percentage of ultralong CDR3s among dairy cattle. Blood was collected from nine Holstein heifers. B cells were isolated using magnetic bead-based separation, RNA was extracted, and IgM+ transcripts were amplified using PCR and sequenced using a MinION R10.4 flow cell. The distribution of CDR3 lengths was trimodal, and the percentage of ultralong CDR3s ranged among animals from 2.32 to 20.13% in DNA sequences and 1.56% to 17.02% in productive protein sequences. V segment usage varied significantly among heifers. Segment IGHV1-7, associated with ultralong CDR3s, was used in 5.8-24.2% of sequences; usage was positively correlated with ultralong CDR3 production (r = 0.99, p < 0.01). To our knowledge, this is the first study to sequence the bovine BCR repertoire using Oxford Nanopore Technologies and demonstrates the potential for cost-efficient long-read repertoire sequencing in cattle without assembly. Findings from this study support literature describing the distribution of length and percentage of ultralong CDR3s. Future studies will investigate changes in the bovine BCR repertoire associated with age, antigenic exposure, and genetics.

Islet-antigen reactive B cells display a unique phenotype and BCR repertoire in autoantibody positive and recent-onset type 1 diabetes patients.

Autoreactive B cells play an important but ill-defined role in autoimmune type 1 diabetes (T1D). To better understand their contribution, we performed single cell gene and BCR-seq analysis on pancreatic islet antigen-reactive (IAR) B cells from the peripheral blood of nondiabetic (ND), autoantibody positive prediabetic (AAB), and recent-onset T1D individuals. We found that the frequency of IAR B cells was increased in AAB and T1D. IAR B cells from these donors had altered expression of B cell signaling, pro-inflammatory, infection, and antigen processing and presentation genes. Both AAB and T1D donors demonstrated a significant increase in certain heavy and light chain V genes, and these V genes were enriched in islet-reactivity. Public clones of IAR B cells were restricted almost entirely to AAB and T1D donors. IAR B cells were clonally expanded in the autoimmune donors, particularly the AAB group. Notably, a substantial fraction of IAR B cells in AAB and T1D donors appeared to be polyreactive, which was corroborated by analysis of recombinant monoclonal antibodies. These results expand our understanding of autoreactive B cell activation during T1D and identify unique BCR repertoire changes that may serve as biomarkers for increased disease risk.

Fine-tuning spatial-temporal dynamics and surface receptor expression support plasma cell-intrinsic longevity

Durable serological memory following vaccination is critically dependent on the production and survival of long-lived plasma cells (LLPCs). Yet, the factors that control LLPC specification and survival remain poorly resolved. Using intravital two-photon imaging, we find that in contrast to most plasma cells (PCs) in the bone marrow (BM), LLPCs are uniquely sessile and organized into clusters that are dependent on APRIL, an important survival factor. Using deep, bulk RNA sequencing, and surface protein flow-based phenotyping, we find that LLPCs express a unique transcriptome and phenotype compared to bulk PCs, fine-tuning expression of key cell surface molecules, CD93, CD81, CXCR4, CD326, CD44, and CD48, important for adhesion and homing. Conditional deletion of Cxcr4 in PCs following immunization leads to rapid mobilization from the BM, reduced survival of antigen-specific PCs, and ultimately accelerated decay of antibody titer. In naïve mice, the endogenous LLPCs BCR repertoire exhibits reduced diversity, reduced somatic mutations, and increased public clones and IgM isotypes, particularly in young mice, suggesting LLPC specification is non-random. As mice age, the BM PC compartment becomes enriched in LLPCs, which may outcompete and limit entry of new PCs into the LLPC niche and pool.

Fine-tuning spatial-temporal dynamics and surface receptor expression support plasma cell-intrinsic longevity.

Durable serological memory following vaccination is critically dependent on the production and survival of long-lived plasma cells (LLPCs). Yet, the factors that control LLPC specification and survival remain poorly resolved. Using intravital two-photon imaging, we find that in contrast to most plasma cells (PCs) in the bone marrow (BM), LLPCs are uniquely sessile and organized into clusters that are dependent on APRIL, an important survival factor. Using deep, bulk RNA sequencing, and surface protein flow-based phenotyping, we find that LLPCs express a unique transcriptome and phenotype compared to bulk PCs, fine-tuning expression of key cell surface molecules, CD93, CD81, CXCR4, CD326, CD44, and CD48, important for adhesion and homing. Conditional deletion of Cxcr4 in PCs following immunization leads to rapid mobilization from the BM, reduced survival of antigen-specific PCs, and ultimately accelerated decay of antibody titer. In naïve mice, the endogenous LLPCs BCR repertoire exhibits reduced diversity, reduced somatic mutations, and increased public clones and IgM isotypes, particularly in young mice, suggesting LLPC specification is non-random. As mice age, the BM PC compartment becomes enriched in LLPCs, which may outcompete and limit entry of new PCs into the LLPC niche and pool.

B Cells of Early-life Origin Defined by RAG2-based Lymphoid Cell Tracking under Native Hematopoietic Conditions.

During the perinatal period, the immune system sets the threshold to select either response or tolerance to environmental Ags, which leads to the potential to provide a lifetime of protection and health. B-1a B cells have been demonstrated to develop during this perinatal time window, showing a unique and restricted BCR repertoire, and these cells play a major role in natural Ab secretion and immune regulation. In the current study, we developed a highly efficient temporally controllable RAG2-based lymphoid lineage cell labeling and tracking system and applied this system to understand the biological properties and contribution of B-1a cells generated at distinct developmental periods to the adult B-1a compartments. This approach revealed that B-1a cells with a history of RAG2 expression during the embryonic and neonatal periods dominate the adult B-1a compartment, including those in the bone marrow (BM), peritoneal cavity, and spleen. Moreover, the BCR repertoire of B-1a cells with a history of RAG2 expression during the embryonic period was restricted, becoming gradually more diverse during the neonatal period, and then heterogeneous at the adult stage. Furthermore, more than half of plasmablasts/plasma cells in the adult BM had embryonic and neonatal RAG2 expression histories. Moreover, BCR analysis revealed a high relatedness between BM plasmablasts/plasma cells and B-1a cells derived from embryonic and neonatal periods, suggesting that these cell types have a common origin. Taken together, these findings define, under native hematopoietic conditions, the importance in adulthood of B-1a cells generated during the perinatal period.

Human Immune repertoire and gene expression in pediatric and adult SARS-CoV-2 infected patients using single cell multi-omics approaches

Abstract SARS-CoV-2 represents a global health crisis, yet major knowledge gaps remain about the human immune response against the virus infection and related treatment in both pediatric and adult patients. Immune repertoires (TCR and BCR) and related gene expression at massive single cell level play a crucial role in early-stage infection and late virus clearance. By using single cell multi-omics approaches, we analyzed immune repertoire and gene expression in 9 COVID-19 patients and 3 controls. We used single-cell mRNAseq and observed increased expression of inflammatory cytokines and transcription factors such as CXCL1, RNASE2, EGR1, CXCL2, and CXCL8 in either adult or pediatric COVID-19 infected patients compared to controls. Ten surface proteins such as CD62L, CD16, CD20, CD56, CD14, and CD45RA were quantitated by AbSeq. CD14+ cells were more prevalent in adult COVID-19 patients and CD3+ T cells were less prevalent. We conducted comparative analyses of TCR and BCR repertoire using single-cell V (D)J sequencing approach. The clonotypes were defined by using either combined alpha and beta chains or beta chains only. Distinct clonotypes were identified in both pediatric and adult COVID-19 patients. We did not see any significant clonotype expansion in this sample set yet but further analysis is warranted. The combination with the highest frequency in COVID-19 was TRAV29-TRBV27. Our study provides novel insights and bioinformatic analysis tools on immune repertoire in COVID-19.

Loss of TET2 increases cell number and reduces immunoglobulin CDR3 diversity in B-1 cells

Abstract Ten-Eleven Translocation-2 (TET2) is an epigenetic modifier and potent regulator of immune cells, yet its role in B-1 cell biology is largely unknown. B-1 cells protect against infection and clear apoptotic cells via the production of natural IgM. Our study analyzed B-1 cell subsets from mice with global knockout of TET2 compared to WT controls using flow cytometry to determine the frequency and number of B cell subsets, RNAseq to determine differences in global gene expression as well as BCR repertoire analysis, and ELISA to evaluate plasma IgM levels. Results revealed that mice with TET2-KO had elevated numbers of B-1a and B-1b cells in their primary niche, the peritoneal cavity, as well as in the bone marrow and spleen. Consistent with this finding, circulating IgM was elevated in TET2-KO mice compared to WT. We observed reduced expression in both heavy and light chain immunoglobulin genes, predominantly in B-1a cells from TET2-KO mice compared to WT controls. As expected, IgM was by far the most abundant isotype expressed by genes in B-1 cells. Yet, only in B-1a cells was there a significant increase in the proportion of IgM isotypes in TET2-KO mice compared to WT. Analysis of the CDR3 revealed an increased abundance of replicated CDR3 sequences in B-1 cells from TET2-KO mice, which was more clearly pronounced in B-1a compared to B-1b cells. The results from our study suggest that TET2 may regulate the pool of antigen-specific IgM-producing cells.

Abstract 3973: Cancer B cell blueprint reveals dysfunctional extra-follicular dominance with therapeutic opportunity

Abstract B cells are essential components of humoral immunity but harbor multifaceted functions across cancers. To decode tumor-infiltrating B cells, we generated the B cell blueprint encompassing single-cell transcriptome, BCR repertoire, and chromatin accessibility data across 20 cancer types (483 samples, 266 patients). Strikingly, B cells harbored extraordinary heterogeneity and composed of 15 subsets, which were grouped into two independent developmental paths (extra-follicular [EF] versus germinal-center [GC]) exhibiting organ preference. Of note, colon adenocarcinoma and hepatocellular carcinoma are the two representative types of cancer enriched for GC and EF pathways, respectively. We affirm that EF-dominant cancers correlate with dysregulated immune responses and worse clinical outcomes. We then identify the dynamic metabolic-epigenetic-signaling networks in fine-tuning tumor-infiltrating B cell differentiation and managing the balance between the EF and GC pathways. Atypical memory (AtM) B cells, the primary progenitors of EF-derived ASCs, exhibit an exhausted and bystander phenotype and develop independently of the GC pathway. We find that the AtM B cells reside in the center of immature TLSs and spatially relocate to the periphery during TLS maturation. Finally, we mechanistically link these findings to specific transcription factors and epigenomic regulations. We demonstrate that the glutamine-derived metabolite α-ketoglutarate (αKG) could increase the expression of AtM B cell associated transcription factors Tbet and BATF and promote their differentiation, accompanied by the activation of mammalian target of rapamycin complex 1 (mTORC1) signaling. Consequently, AtM B cells acquire an immunoregulatory function that dampens anti-tumor T cell responses and fosters an immunosuppressive microenvironment. Citation Format: Jiaqiang Ma, Yingcheng Wu, Lifeng Ma, Xupeng Yang, Tiancheng Zhang, Guoji Guo, Jia Fan, Xiaoming Zhang, Qiang Gao. Cancer B cell blueprint reveals dysfunctional extra-follicular dominance with therapeutic opportunity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3973.

Abstract 3984: Full-length TCR and BCR repertoire analysis, integrated with mRNA and surface proteins characterization, in a tumor mouse model

Abstract Full-length TCR and BCR analysis with single-cell multiomic assays provides an understanding of immune responses, offering insights into the complete receptor structure and functionality that is crucial for accurately assessing the diversity and specificity of immune repertoires. Studying mouse immune cell heterogeneity can be achieved by simultaneous mRNA and surface protein profiling. However, when coupled with full-length TCR and BCR analysis, this integrated approach provides a more comprehensive understanding of immune responses and cellular function in healthy and diseased conditions. In this study, we used the MC38 colon carcinoma model to study T and B cell heterogeneity and clonotype diversity. We stained single-cell suspensions prepared from bone marrow, thymus, spleen and tumor tissues with 20 AbSeq (CITE-Seq) antibody oligos and sample-multiplexing tags. We then loaded 50,000 isolated T and B cells into two lanes of an 8-lane microwell cartridge for single-cell capture by a single-cell analysis system. To aid in the simultaneous analysis of clonality and gene expression, we carried out library preparation using a full-length TCR/BCR multiomic assay and a mouse immune response panel. The combination of mRNA and protein expression confirmed the elevated expression of exhaustion and activation markers in tumor-infiltrating lymphocytes (TILs). We identified high-frequency clonotypes within TILs and tracked their frequency across other tissues. Tumor-burdened mice splenic T cells showed shared TCR combinations with TILs, which were absent in healthy tissue. The results show the ability to successfully profile T and B cell receptors using a full-length TCR/BCR multiomic assay in a mouse tumor model and the use of transcriptome, protein and TCR/BCR clonal information to investigate immune cell characteristics across multiple samples. For Research Use Only. Not for use in diagnostic or therapeutic procedures. BD, the BD Logo and BD Rhapsody are trademarks of Becton, Dickinson and Company or its affiliates. © 2023 BD. All rights reserved. NPM-2536 (v1.0) 1023 Citation Format: Ali Rezvan, Xiaoshan Shi, Moen Sen, Stephanie Widmann, Aaron Tyznik. Full-length TCR and BCR repertoire analysis, integrated with mRNA and surface proteins characterization, in a tumor mouse model [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3984.

Abstract 80: Toward best practices for B-cell receptor repertoire profiling

Abstract FDA anticipates that immune cell receptor profiling will become crucial to the Agency’s evaluation of the efficacy and safety of emerging cancer immunotherapies and immunomodulatory drugs by advancing precision medicine and providing orthogonal, functional evidence. High-throughput sequencing of B-cell receptor sequencing (BCR) gene rearrangements and downstream analysis empowers researchers to define the B-cell clonal landscape, as well as identify biomarkers for minimal residual disease (MRD). Although this field has made vast strides over the last decade, it lacks standardized assay controls, adequate sensitivity and specificity in gene mapping/alignment, and appropriately qualified reference data sets, materials, and validation methods. Moreover, detailed comparisons of wet-bench analytical methods or bioinformatic procedures have not appeared. The FDA led B-cell receptor sequencing quality control (BCR-SEQC) consortium is establishing protocols for the development of reference materials and data sets for the evaluation of NGS-based BCR repertoire reconstruction. The consortium is also developing materials for performance bench-marking studies. To this end, we performed whole-genome sequencing, RNAseq, and BCR-seq on 50 B-cell lines to determine the clonotype, full-length transcripts, and expression abundance of BCR genes in each cell line. Two batches of reference materials (DNA, RNA, and cells) were generated from each of nine cell lines that were determined unambiguously to be monoclonal in BCR expression of both heavy and light chains. These materials were distributed to ten companies to test up to 15 BCR-seq products. Our benchmarking studies include six widely-used sequencing technologies. The overarching objectives of this research were to elucidate current capabilities and limitations, address fundamental technical needs, provide reference materials and data sets, and establish actionable best practices for reconstructing B cell receptor repertoires from NGS data. Citation Format: Wenming Xiao, BCR-SEQC consortium. Toward best practices for B-cell receptor repertoire profiling [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 80.

B cell receptor repertoire analysis in primary Sjogren’s syndrome salivary glands identifies repertoire features associated with clinical activity

BackgroundPrimary Sjogren’s syndrome (pSS) is a complex autoimmune disease featuring damage to salivary and lacrimal glands, with the possibility of manifestations across multiple organs. Antibody-producing B cells have long been appreciated to play a significant role in pSS pathogenesis, with a number of autoreactive antibody species having been identified to be elevated in pSS patients. While several studies have attempted to characterize the BCR repertoires of peripheral blood B cells in pSS patients, much remains unknown about the repertoire characteristics of gland-infiltrating B cells.MethodsThrough paired scRNAseq and scBCRseq, we profiled the BCR repertoires of both infiltrating and circulating B cells in a small cohort of patients. We further utilize receptor reconstruction analyses to further investigate repertoire characteristics in a wider cohort of pSS patients previously profiled through RNAseq.ResultsVia integrated BCR and transcriptome analysis of B cell clones, we generate a trajectory progression pattern for infiltrated memory B cells in pSS. We observe significant differences in BCR repertoires between the peripheral blood and labial gland B cells of pSS patients in terms of relative expansion, isotype usage, and BCR clustering. We further observe significant decreases in IgA2 isotype usage among pSS patient labial and parotid gland B cells these analyses relative to controls as well as a positive correlation between kappa/lambda light chain usage and clinical disease activity.ConclusionsThrough BCR repertoire analysis of pSS patient salivary glands, we identify a number of novel repertoire characteristics that may serve as useful indicators of clinical disease and disease activity. By collecting these BCR repertoires into an accessible database, we hope to also enable comparative analysis of patient repertoires in pSS and potentially other autoimmune disorders.

The endogenous Mtv8 locus and the immunoglobulin repertoire.

The vast diversity of mammalian adaptive antigen receptors allows for robust and efficient immune responses against a wide number of pathogens. The antigen receptor repertoire is built during the recombination of B and T cell receptor (BCR, TCR) loci and hypermutation of BCR loci. V(D)J recombination rearranges these antigen receptor loci, which are organized as an array of separate V, (D), and J gene segments. Transcription activation at the recombining locus leads to changes in the local three-dimensional architecture, which subsequently contributes to which gene segments are utilized for recombination. The endogenous retrovirus (ERV) mouse mammary tumor provirus 8 (Mtv8) resides on mouse chromosome 6 interposed within the large array of light chain kappa V gene segments. As ERVs contribute to changes in genomic architecture by driving high levels of transcription of neighboring genes, it was suggested that Mtv8 could influence the BCR repertoire. We generated Mtv8-deficient mice to determine if the ERV influences V(D)J recombination to test this possibility. We find that Mtv8 does not influence the BCR repertoire.

Altered Cellular Dynamics and Surface Expression Promote Long-Lived Plasma Cell Survival

Serological memory following vaccination decline with aging, indicating reduced survival of new plasma cells (PCs). We report that with age, bone marrow (BM) PC pool is enriched in long-lived plasma cells (LLPCs), leading to reduced PC turnover, suggesting increased competition. Using in vivo imaging, we find that LLPCs are highly organized into April-dependent clusters. Based on bulk RNA sequencing, and flow-based surface phenotyping, LLPCs exhibit unique transcriptome and proteome, fine tuning expression of key cell surface molecules, including CD93, CD81, CXCR4, CD326, CD44 and CD48, important for adhesion and homing. To test their functional role, Cxcr4 was conditionally deleted in PCs following immunization, which led to rapid mobilization from the BM, reduced survival of antigen-specific PCs, and accelerated decay of antibody titer. Analysis of endogenous LLPCs BCR repertoire exhibits reduced diversity, reduced somatic mutations, and increased public clones and IgM isotypes, particularly in young mice, suggesting non-random selection into the LLPC pool that is age-dependent.

Immunological and clinicopathological features predict HER2-positive breast cancer prognosis in the neoadjuvant NeoALTTO and CALGB 40601 randomized trials

The identification of prognostic markers in patients receiving neoadjuvant therapy is crucial for treatment optimization in HER2-positive breast cancer, with the immune microenvironment being a key factor. Here, we investigate the complexity of B and T cell receptor (BCR and TCR) repertoires in the context of two phase III trials, NeoALTTO and CALGB 40601, evaluating neoadjuvant paclitaxel with trastuzumab and/or lapatinib in women with HER2-positive breast cancer. BCR features, particularly the number of reads and clones, evenness and Gini index, are heterogeneous according to hormone receptor status and PAM50 subtypes. Moreover, BCR measures describing clonal expansion, namely evenness and Gini index, are independent prognostic factors. We present a model developed in NeoALTTO and validated in CALGB 40601 that can predict event-free survival (EFS) by integrating hormone receptor and clinical nodal status, breast pathological complete response (pCR), stromal tumor-infiltrating lymphocyte levels (%) and BCR repertoire evenness. A prognostic score derived from the model and including those variables, HER2-EveNT, allows the identification of patients with 5-year EFS > 90%, and, in those not achieving pCR, of a subgroup of immune-enriched tumors with an excellent outcome despite residual disease.

Single Cell Multi Omics and Spatial Analysis Reveals Plasmablast Signature Malignant Cells As a Key of Intratumor Heterogeneity in Primary Central Nervous System Lymphoma

Background: Primary central nervous system lymphoma (PCNSL) constitutes approximately 5% of extranodal lymphomas. More than 90% of PCNSL are diagnosed as diffuse large B-cell lymphomas (DLBCL), mainly classified as the activated B cell (ABC) subtype. Recent genetic analyses have identified key molecular drivers of PCNSL, including MYD88, CARD11 and CD79B. However, molecular analyses using bulk samples have provided limited insights into the heterogeneity in lymphoma cells of PCNSL. To improve our understanding in the biology of PCNSL, we conducted a multimodal single-cell analyses and integrated single-cell and spatial analyses to characterize the molecular properties of PCNSL tumors. Methods:Our study included seven PCNSL patients and two patients with reactive lymph nodes (RLN). We performed Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) combined with B-cell and T-cell receptor (BCR and TCR) analysis on samples from 3 PCNSL and 2 RLN patients, while the remaining PCNSL patients' samples were subjected to single-cell transcriptomic sequencing. Additionally, six formalin-fixed and paraffin-embedded (FFPE) tissues from the patients analyzed in the single-cell sequencing (except for one patient) were performed with GeoMx digital spatial profiling (DSP). Result: To ensure data quality, we filtered out low-quality cells and doublets, resulting in a dataset of 41,556 single cells. B cells represented the most abundant cluster, followed by T cells and monocytes. Copy number alterations (CNAs) data derived from InferCNV analysis showed distinct CNAs patterns in lymphoma cells of each patient. UMAP plot projection analysis revealed the presence of a distinct subtype of malignant cells within the B-cell population, which was characterized as high expression of plasmablast (PBL)-associated surface proteins, including SLAMF7, CD39, and CD38. Enrichment analysis based on germinal center (GC) gene expression signatures (Holmes AB et al. J Exp Med. 2020) revealed a broader spectrum of B-cell differentiation states in malignant B cells. Single-cell BCR sequencing further demonstrated that different GC signature state cells harbored the same BCR repertoire within each patient, suggesting a common origin of malignant cells. Non-negative matrix factorization (NMF) analysis confirmed the enrichment of PBL signature scores in the distinct malignant cell population observed in the UMAP plot, consistent with DPE analysis (Figure A). Interestingly, the proportion of PBL signature cells varied among patients. Signaling interaction analysis highlighted CD70-CD27 and SPP1-CD44 pathways as enriched in tumor cells. PBL signature cells received TNFSF13B and TNFSF13 signaling through TNFRSF17 (BCMA), whereas other tumor cells expressed TNFRSF13C (BAFF-R) and received TNFSF13B signaling alone. We further analyzed two public bulk RNA-seq data (Bruno A et al. Neuro Oncol 2018, n = 6; Radke J et al. Nat Commun 2022, n=38) in PCNSL to decompose tumor components. Tumor PBL components were identified in most PCNSL cases, although several cases exhibited a low presence of tumor PBL population. Of note, analysis including these public datasets with our single-cell cohort showed that PCNSL samples with high tumor PBL proportion had unfavorable prognosis . Additionally, we performed DSP to integrate the single-cell and spatial multi-omics analyses. We deconvoluted the cell composition by using transcriptomic data derived from each region of interest (ROI) and found that the cell proportions in ROI were consistent with the corresponding single-cell results. However, there were differential profiles of cell composition according to patients rather than ROIs, suggesting that PCNSL tumors may display spatial homogeneity (Figure B). Conclusion: Through the application of single-cell and spatial transcriptomic analysis, we identified a distinct subtype expressing the PBL signature gene. These findings have important therapeutic implications and provide new insights into the mechanisms of relapse in PCNSL.

Characterizing the dynamics of BCR repertoire from repeated influenza vaccination

ABSTRACT Yearly epidemics of seasonal influenza cause an enormous disease burden around the globe. An understanding of the rules behind the immune response with repeated vaccination still presents a significant challenge, which would be helpful for optimizing the vaccination strategy. In this study, 34 healthy volunteers with 16 vaccinated were recruited, and the dynamics of the BCR repertoire for consecutive vaccinations in two seasons were tracked. In terms of diversity, length, network, V and J gene segments usage, somatic hypermutation (SHM) rate and isotype, it was found that the overall changes were stronger in the acute phase of the first vaccination than the second vaccination. However, the V gene segments of IGHV4-39, IGHV3-9, IGHV3-7 and IGHV1-69 were amplified in the acute phase of the first vaccination, with IGHV3-7 dominant. On the other hand, for the second vaccination, the changes were dominated by IGHV1-69, with potential for coding broad neutralizing antibody. Additional analysis indicates that the application of V gene segment for IGHV3-7 in the acute phase of the first vaccination was due to the elevated usage of isotypes IgM and IgG3. While for IGHV1-69 in the second vaccination, it was contributed by isotypes IgG1 and IgG2. Finally, 41 public BCR clusters were identified in the vaccine group, with both IGHV3-7 and IGHV1-69 were involved and representative complementarity determining region 3 (CDR3) motifs were characterized. This study provides insights into the immune response dynamics following repeated influenza vaccination in humans and can inform universal vaccine design and vaccine strategies in the future.