scholarly journals Human IgE producing B cells have a unique transcriptional program and generate high affinity, allergen-specific antibodies

2018 ◽  
Author(s):  
Derek Croote ◽  
Spyros Darmanis ◽  
Kari C. Nadeau ◽  
Stephen R. Quake

AbstractIgE antibodies provide defense against helminth infections, but can also cause life-threatening allergic reactions. Despite their importance to human health, these antibodies and the cells that produce them remain enigmatic due to their scarcity in humans; much of our knowledge of their properties is derived from model organisms. Here we describe the isolation of IgE producing B cells from the blood of individuals with food allergies, followed by a detailed study of their properties by single cell RNA sequencing (scRNA-seq). We discovered that IgE B cells are deficient in membrane immunoglobulin expression and that the IgE plasmablast state is more immature than that of other antibody producing cells. Through recombinant expression of monoclonal antibodies derived from single cells, we identified IgE antibodies which had unexpected cross-reactive specificity for major peanut allergens Ara h 2 and Ara h 3; not only are these among the highest affinity native human antibodies discovered to date, they represent a surprising example of convergent evolution in unrelated individuals who independently evolved nearly identical antibodies. Finally, we discovered that splicing within B cells of all isotypes reveals polarized germline transcription of the IgE, but not IgG4, isotype as well as several examples of biallelic expression of germline transcripts. Our results offer insights into IgE B cell transcriptomics, clonality and regulation, provide a striking example of adaptive immune convergence, and offer an approach for accelerating mechanistic disease understanding by characterizing a rare B cell population underlying IgE-mediated disease at single cell resolution.

Science ◽  
2018 ◽  
Vol 362 (6420) ◽  
pp. 1306-1309 ◽  
Author(s):  
Derek Croote ◽  
Spyros Darmanis ◽  
Kari C. Nadeau ◽  
Stephen R. Quake

Immunoglobulin E (IgE) antibodies protect against helminth infections but can also cause life-threatening allergic reactions. Despite their role in human health, the cells that produce these antibodies are rarely observed and remain enigmatic. We isolated single IgE B cells from individuals with food allergies and used single-cell RNA sequencing to elucidate the gene expression and splicing patterns unique to these cells. We identified a surprising example of convergent evolution in which IgE antibodies underwent identical gene rearrangements in unrelated individuals. Through the acquisition of variable region mutations, these IgE antibodies gained high affinity and unexpected cross-reactivity to the clinically important peanut allergens Ara h 2 and Ara h 3. These findings provide insight into IgE B cell transcriptomics and enable biochemical dissection of this antibody class.


2021 ◽  
Author(s):  
Andreas Agrafiotis ◽  
Daniel Neumeier ◽  
Kai-Lin Hong ◽  
Tasnia Chowdhury ◽  
Roy A. Ehling ◽  
...  

Aging of the humoral immune response has been shown to affect its critical role in defending the host from a variety of pathogens. Technical limitations have nevertheless made it challenging to investigate the relationship between genotype and phenotype of antibody repertoires in the context of aging. We therefore performed single-cell sequencing of over 95,000 B cells to simultaneously investigate B cell receptor (BCR) repertoires and gene expression profiles in the bone marrow and spleens of young and old mice following immunizations with a protein antigen. We discovered the presence of clonally expanded B cells in both young and old mice, which had distinct transcriptional phenotypes and exhibited age-associated gene signatures relating to plasma cell differentiation and protein folding and stabilization genes. Recombinant expression of 227 monoclonal antibodies revealed that clonally expanded B cells were frequently antigen-specific in young mice but not in old mice. Furthermore, we detected clonal convergence across different mice which was correlated with antigen-specificity. Although isotype- and expansion-specific transcriptional phenotypes could be detected, there was little correlation with antigen-specificity and transcriptional signatures. Together, our work provides an age-resolved single-cell repertoire resource that further relates antibody specificity, repertoire features, and whole transcriptomes.


Biology ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 511
Author(s):  
Pedro Perdiguero ◽  
Esther Morel ◽  
Carolina Tafalla

Single-cell sequencing technologies capable of providing us with immune information from dozens to thousands of individual cells simultaneously have revolutionized the field of immunology these past years. However, to date, most of these novel technologies have not been broadly applied to non-model organisms such as teleost fish. In this study, we used the 10× Genomics single cell RNA sequencing technology and used it to analyze for the first time in teleost fish the transcriptional pattern of single B cells from peripheral blood. The analysis of the data obtained in rainbow trout revealed ten distinct cell clusters that seem to be associated with different subsets and/or maturation/differentiation stages of circulating B cells. The potential characteristics and functions of these different B cell subpopulations are discussed on the basis of their transcriptomic profile. The results obtained provide us with valuable information to understand the biology of teleost B cells and offer us a repertoire of potential markers that could be used in the future to differentiate trout B cell subsets.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Abid Ullah Shah ◽  
Yuchen Li ◽  
Wei Ouyang ◽  
Zhisheng Wang ◽  
Jinjiao Zuo ◽  
...  

Abstract Background Chickens, important food animals and model organisms, are susceptible to many RNA viruses that invade via the nasal cavity. To determine the nasal entry site of the virus and clarify why avians are susceptible to RNA viruses, infectious bursal disease virus (IBDV) was selected because it is a typical avian RNA virus that infects chickens mainly via the nasal route. Results First, we found that IBDV infected the posterior part of the nasal cavity in chickens, which is rich in lymphoid tissue and allows the virus to be easily transferred to the blood. Via the blood circulation, IBDV infected peripheral blood mononuclear cells (PBMCs) and was transferred to the bursa of Fabricius to damage the IgM + B lymphocyte population. Subsequently, the single-cell RNA sequencing (scRNA-seq) results suggested the more detailed response of different bursal cell populations (B cells, epithelial cells, dendritic cells, and fibroblasts) to IBDV. Regarding B cells, IBDV infection greatly decreased the IgM + B cell population but increased the IgA + B cell population in the bursal follicles. In contrast to B cells, bursal epithelial cells, especially basal cells, accumulated a large number of IBDV particles. Furthermore, we found that both innate RNA sensors and interferon-stimulated genes (ISGs) were highly expressed in the IBDV-infected groups, while dicer and ago2 expression was largely blocked by IBDV infection. This result suggests that dicer-related RNA interference (RNAi) might be an effective antiviral strategy for IBDV infection in avian. Conclusion Our study not only comprehensively elaborates on the transmission of airborne IBDV via the intranasal route and establishes the main target cell types for productive IBDV infection but also provides sufficient evidence to explain the cellular antiviral mechanism against IBDV infection. Graphical Abstract


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 1090-1090
Author(s):  
Noemi Andor ◽  
Erin Simonds ◽  
Jiamin Chen ◽  
Susan Grimes ◽  
Christina Wood ◽  
...  

Abstract Follicular lymphoma (FL) is a generally incurable B-cell malignancy which has the potential to transform into highly aggressive lymphomas. Genomic studies indicate it is often a small subpopulation rather than the dominant population in the FL that gives rise to the more aggressive subtype.To resolve the underlying transcriptional networks of follicular B-cell lymphomas at single molecule and cell resolution, we leveraged droplet-based barcoding technology for highly parallel single cell RNA-Seq. We analyzed the transcriptomes from tens of thousands of cells derived from five primary FL tumors (average > 5,000 cells/sample). Simultaneously, we conducted multi-dimensional flow cell sorting to validate our characterizing of cellular lineages and critical expressed proteins. For each tumor, we identified multiple cellular subpopulations, matching known hematopoietic lineages. Despite some common features, such as MYC and BCLoverexpression, distinct transcriptional patterns and regulatory programs were evident among the different tumors. Within each tumor, subpopulations of malignant cell transcripts were compared to matched normal B-cells (Figure 1). Transcriptome analysis of >13,500 B-cells across 5 samples reveals sample-specific and joint clusters of B-cells. Each dot represents the t-SNE projection of a single cell's transcriptome profile. Single cells are colored according to sample origin (control PBMC samples 1 & 2; follicular lymphoma samples 1, 2 & 3). Normal B-cells within follicular lymphoma samples cluster together with PBMC derived B-cells. Malignant B-cells cluster according to sample origin, except for the cycling tumor cells (upper left cell cluster). Malignant B-cells were characterized by expression of restricted immunoglobulin light chain type (either kappa or lambda), BCL2 expression, and CD20 expression. We show evidence for the coexistence of small, malignant subpopulations alongside the dominant FL population in the majority of tumors. These smaller subpopulations harbored several transcriptional changes that were absent from the dominant population, including upregulation of MHC class II expression, downregulation of β-2-microglobulin, and exclusive expression of chemokines (CCL22 and CCL17), that would have resulted in alteration in antigen presentation and of the T cell immune system. In addition, we characterize the transcriptomes of the infiltrating immune cell populations that are characteristic of this disease. Our findings provide an unprecedented resolution of distinct immune lineages as seen by transcriptionally characterized cellular diversity. Figure 1 Assignment of 13.5K B-cells to normal and malignant phenotypes. Figure 1. Assignment of 13.5K B-cells to normal and malignant phenotypes. Disclosures Levy: Kite Pharma: Consultancy; Five Prime Therapeutics: Consultancy; Innate Pharma: Consultancy; Beigene: Consultancy; Corvus: Consultancy; Dynavax: Research Funding; Pharmacyclics: Research Funding.


2020 ◽  
Author(s):  
Haoyu Ruan ◽  
Zhe Wang ◽  
Yue Zhai ◽  
Ying Xu ◽  
Linyu Pi ◽  
...  

AbstractDiffuse large B-cell lymphoma (DLBCL) is the predominant type of central nervous system lymphoma (CNSL) including primary CNSL and secondary CNSL. Diffuse large B cells in cerebrospinal fluid (CSF-DLBCs) have offered great promise for the diagnostics and therapeutics of CNSL leptomeningeal involvement. To explore the distinct phenotypic states of CSF-DLBCs, we analyzed the transcriptomes of 902 CSF-DLBCs from six CNSL-DLBCL patients using single-cell RNA sequencing technology. We defined CSF-DLBCs based on abundant expression of B-cell markers, as well as the enrichment of cell proliferation and energy metabolism pathways. CSF-DLBCs within individual patients exhibited monoclonality with similar variable region of light chains (VL) expression. It is noteworthy that we observed some CSF-DLBCs have double classes of VL (lambda and kappa) transcripts. We identified substantial heterogeneity in CSF-DLBCs, and found significantly greater among-patient heterogeneity compared to among-cell heterogeneity within a given patient. The transcriptional heterogeneity across CSF-DLBCs is manifested in cell cycle state and cancer-testis antigens expression. Our results will provide insight into the mechanism research and new diagnostic direction of CNSL-DLBCL leptomeningeal involvement.


2021 ◽  
Vol 12 ◽  
Author(s):  
Han Sun ◽  
Hu-Qin Yang ◽  
Kan Zhai ◽  
Zhao-Hui Tong

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.


Author(s):  
Liu-Lin Xiong ◽  
Lu-Lu Xue ◽  
Ruo-Lan Du ◽  
Rui-Ze Niu ◽  
Li Chen ◽  
...  

AbstractIn recent years, biomarkers have been integrated into the diagnostic process and have become increasingly indispensable for obtaining knowledge of the neurodegenerative processes in Alzheimer’s disease (AD). Peripheral blood mononuclear cells (PBMCs) in human blood have been reported to participate in a variety of neurodegenerative activities. Here, a single-cell RNA sequencing analysis of PBMCs from 4 AD patients (2 in the early stage, 2 in the late stage) and 2 normal controls was performed to explore the differential cell subpopulations in PBMCs of AD patients. A significant decrease in B cells was detected in the blood of AD patients. Furthermore, we further examined PBMCs from 43 AD patients and 41 normal subjects by fluorescence activated cell sorting (FACS), and combined with correlation analysis, we found that the reduction in B cells was closely correlated with the patients’ Clinical Dementia Rating (CDR) scores. To confirm the role of B cells in AD progression, functional experiments were performed in early-stage AD mice in which fibrous plaques were beginning to appear; the results demonstrated that B cell depletion in the early stage of AD markedly accelerated and aggravated cognitive dysfunction and augmented the Aβ burden in AD mice. Importantly, the experiments revealed 18 genes that were specifically upregulated and 7 genes that were specifically downregulated in B cells as the disease progressed, and several of these genes exhibited close correlation with AD. These findings identified possible B cell-based AD severity, which are anticipated to be conducive to the clinical identification of AD progression.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4294-4294
Author(s):  
Sara A. Rubin ◽  
Chloé S. Baron ◽  
Alexandra F. Corbin ◽  
Song Yang ◽  
Leonard I. Zon

Abstract The advent of single-cell RNA sequencing (scRNA-seq) has greatly expanded our appreciation for cell state diversity beyond classical developmental hierarchies and simple population subsets. In particular, rich transcriptional heterogeneity has been observed within immune cell populations leading to the identification of novel cell types. Except for a few notable exceptions, intensive work in this area has largely been confined to mammals. Much of the transcriptional profiling of blood cell development in zebrafish has failed to capture early stages of lymphocyte development as the majority of research has not included thymus datasets or captured sufficient marrow B cells to explore developmental trajectories. To gain insight into T and B cell development in the zebrafish and immune cell diversity more broadly, we performed scRNA-seq using 10x Genomics Next GEM technology on adult zebrafish kidney marrows (n = 5 biological replicates) in addition to whole juvenile thymi at 4 weeks post-fertilization (wpf) (n = 4 technical replicates) and whole adult thymi at 3-4 months post-fertilization (n = 4 biological replicates). After filtering out low quality cellular barcodes, 34,492 kidney marrow cells and 35,268 thymus cells remained for analysis. With respect to T cell development, we identified putative early thymic progenitors from their clustering with hematopoietic stem and progenitor cells and shared transcriptional signatures, including the enrichment of CD34, CSF1R, FLI1, and DNMT3B human orthologs. Multiple subsets of thymic and marrow T cells were characterized, including a subset of gamma delta T cells readily identified by their expression of T-cell receptor gamma and delta chain components and expression of a SOX13 ortholog in addition to a Th2-like population expressing IL4, IL13, and GATA3 orthologs. Among other immune cell populations, rich transcriptional diversity was present. Two distinct populations of B cells, largely mutually exclusive for ighd and ighz expression (dual detection <1%), were present across all datasets, including the 4 wpf thymi, a surprisingly early time point in zebrafish B cell ontogeny. A clustering of the adult datasets demonstrated ighz predominance in the thymus (63% of thymic B cells), whereas the majority of marrow B cells (85%) fell within the ighd cluster. Stages of B cell development were also clearly evident, with the earliest B cell progenitors expressing orthologs of human PAX5, DNTT, RAG1, and RAG2, in addition to sid1, an understudied gene proposed to be orthologous to VPREB1. The expression of dntt was notably absent from more mature subsets of rag1 and rag2+ B cell progenitors, analogous to its expression in mammals. Transcriptional signatures unique but reminiscent of mammalian dendritic cell subsets were identified: Plasmacytoid-like dendritic cells characterized by high expression of TLR7, TLR9, and IRF8 orthologs and conventional-like dendritic cells characterized by high expression of CKB, BATF3, and ZNF366 were present in both marrow and thymus datasets, suggestive of greater dendritic-like cell diversity in the zebrafish than previously appreciated. These findings illustrate the power of single-cell transcriptional profiling for illuminating immune cell development and heterogeneity in the zebrafish, demonstrating increasing parallels to the mammalian system. Disclosures Zon: Celularity: Consultancy; Branch Biosciences: Current holder of individual stocks in a privately-held company, Other: Founder; Scholar Rock: Current equity holder in publicly-traded company, Other: Founder; Amagma Therapeutics: Current holder of individual stocks in a privately-held company, Other: Founder; CAMP4 Therapeutics: Current holder of individual stocks in a privately-held company, Other: Founder; Fate Therapeutics: Current equity holder in publicly-traded company, Other: Founder; Cellarity: Consultancy.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 1943-1943 ◽  
Author(s):  
Lili Wang ◽  
Dylan Kotliar ◽  
Jean Fan ◽  
Shuqiang Li ◽  
Jonna Grimsby ◽  
...  

Abstract Cancer cell phenotype is controlled by both genetic composition and gene expression. Recent large-scale cancer sequencing studies have revealed extensive intratumoral genetic heterogeneity and have demonstrated its potential impact on clonal evolution and clinical outcome. The most direct approach to uncovering the impact of genetic heterogeneity on cellular phenotype requires integration of genetic and transcriptomic profiles of single cells. Currently, however, RNA and DNA cannot be reliably isolated from the same cell. Here, we demonstrate the feasibility for linking single-cell somatic mutation data with cellular transcriptional heterogeneity through a targeted RNA-based approach. By leveraging a microfluidic platform (Fluidigm BioMarkTMHD system) to perform multiplexed targeted amplification of RNA derived from hundreds of single cells, we have generated a versatile approach for the integrated detection of somatic mutations in relation to specific gene transcripts. We focused on a series of chronic lymphocytic leukemia (CLL) B cells that were previously characterized by bulk whole-exome (WES) and RNA-sequencing (RNA-Seq). We developed 2 classes of assays. First, we generated multiplexed nested quantitative RT-PCR assays of 96 genes with known involvement in CLL biology. Second, to simultaneously detect patient-specific somatic mutations in the same cell, we devised multiplexed pre-amplification primers targeting transcribed regions containing somatic point mutations. These regions were then amplified using paired nested primers, for detection of the wild-type or mutant alleles. We focused on those somatic mutations with detectable expression in bulk CLL RNA (> 5 FPKM by RNA-seq). When applied to either artificial oligonucleotide templates or bulk patient cDNA, these paired wild-type and mutant allele detection assays reliably demonstrated consistent differences in DCT values of >6 cycles. In total, we designed expression assays for 96 genes and 46 mutation detection applied to 5 CLL samples (median of 9 assays/sample, range 6-13). We examined up to 384 single cells from each of 5 samples and from normal CD19+ B cells. Based on expression of housekeeping genes ACTB and B2M, we observed viable expression in 1951 of 2112 cells (92.4%). We could clearly discern that expression of the 96 genes was heterogeneous across 354 single CLL-B cells and could discriminate CLL from 174 normal B cells by principal component analysis. 32 out of 46 (70%) mutation detection assays successfully distinguished between wild-type and mutant alleles and the mutant allele was consistently observed in the originating CLL cells, but not in unrelated CLL or non-leukemic B cells. Our RNA-based estimates of allele frequency agreed with single-cell targeted DNA-based detection of somatic mutations conducted for 3 of 5 CLL samples as well as with frequencies estimated from bulk WES-based cancer cell fraction (CCF) measurements. We applied our integrated assay design to 2 CLL samples known to harbor mutations in the putative CLL driver SF3B1: Patient 1 with bulk CCF of 17% (G742D) and Patient 2 with 87% (K700E). Mutation of this critical spliceosome component broadly changes RNA splicing profiles although the functional impact of these alternative splice variants on CLL biology remains unknown. We generated multiplex assays for SF3B1 mutation detection and for expression of mutation-associated alternative splice variants. Consistent with the bulk-sequencing results, we detected 50 of 373 (13.4%) single CLL cells from Patient 1 with SF3B1 mutation. Moreover, the subset of cells with SF3B1 mutation demonstrated high expression of splice variants relative to wild-type cells (GCC2 and MAP3K7, p< 0.000001). This SF3B1 mutated subclone also displayed reduced expression of RNA splicing factors (BTAF1, DDX17, SNW1, SRSF3, U2SURP; all p<0.05), cell cycle regulators (CDC27, PDS5A; p<0.015) and an inflammatory pathway gene (MALT1p=0.039), suggesting involvement of SF3B1 mutation in these biological processes. Analysis of Patient 2 is ongoing. Taken together, our study demonstrates the feasibility of linking genotype with gene expression at the RNA level. Furthermore, these analyses reveal the potential for single cell RNA-based analysis to directly uncover the effects of driver mutations on the leukemia cell phenotype. Disclosures Brown: Sanofi, Onyx, Vertex, Novartis, Boehringer, GSK, Roche/Genentech, Emergent, Morphosys, Celgene, Janssen, Pharmacyclics, Gilead: Consultancy.


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