Distinct B-cell Subsets Research Articles

Insights into B-cell ontogeny inferred from human immunology.

Due to ontogenetic changes in B-cell developmental lineages, the mature B-cell compartment constitutes by functionally different B-cell subsets that emerged from prenatal, early postnatal or adult precursors. While negative selection processes operate primarily within the framework of B-cell tolerance checkpoints during B-cell development, further differentiation into distinct B-cell subsets is additionally induced by positive selection. In addition to endogenous antigens, contact with microbial antigens is also involved in this selection process, with intestinal commensals having a significant influence on the development of a large layer within the B-cell compartment. The decisive threshold that triggers negative selection seems to be relaxed during fetal B-cell development, thereby allowing recruitment of polyreactive and also autoreactive B-cell clones into the mature naïve B-cell compartment. Almost all of the concepts on B-cell ontogeny are based on observations in laboratory mice that not only differ from humans in their developmental timeline but also in their composition of commensal microorganisms or rather a lack of exposure to these. In this review, we summarize conceptual findings on B-cell ontogeny and particularly describe key insights into the developing human B-cell compartment and immunoglobulin repertoire formation.

OMIP-085: Cattle B-cell phenotyping by an 8-color panel.

This 8-color panel has been optimized to distinguish between functionally distinct subsets of cattle B cells in both fresh and cryopreserved peripheral blood mononuclear cells (PBMCs). Existing characterized antibodies against cell surface molecules (immunoglobulin light chain (S-Ig[L]), CD20, CD21, CD40, CD71, and CD138) enabled the discrimination of 24 unique populations within the B-cell population. This allows the identification of five putative functionally distinct B-cell subsets critical to infection and vaccination responses: (1) naïve B cells (BNaïve ), (2) regulatory B cells (BReg ), (3) memory B cells (BMem ), (4) plasmablasts (PB), and (5) plasma cells (PC). Although CD3 and CD8α can be included as an additional dump channel, it does not significantly improve the panel's ability to separate "classical" B cells. This panel will promote better characterization and tracking of B-cell responses in cattle as well as other bovid species as the reagents are likely to cross react.

Activated B Cells and Plasma Cells Are Resistant to Radiation Therapy

B cells play a key role in outcomes of cancer patients and responses to checkpoint blockade immunotherapies. However, the effect of radiation therapy on B cell populations is poorly understood. Here we characterize the effects of radiation on the development, survival, and phenotype of physiological B-cell subsets. Naïve and immunized tumor bearing and nontumor bearing mice were treated with large-field or focal stereotactic radiation and distinct B-cell subsets of varying developmental stages were analyzed by flow cytometry and real-time reverse transcription polymerase chain reaction. We first report that focal stereotactic radiation is highly superior to large-field radiation at inducing tumor infiltration of B cells, CD8+T cells, and macrophages. We observed that radiation affects B cell development in the bone marrow, increasing frequencies of early pro-B cells and late pro-B cells while inducing upregulation of programmed cell death protein 1. We then demonstrate that class switched B cells and plasma cells are highly resistant to radiation therapy compared with naïve B cells and upregulate activation markers programmed cell death 1 ligand 2 and major histocompatibility complex class II) after radiation. Mechanistically, radiation upregulates Xbp1 and Bcl6 in plasma cells, conferring radioresistance. Furthermore, using an immunization approach, we demonstrate that radiation enhances activation-induced cytidine deaminase mediated class switching and somatic hypermutation in primed B cells. These data demonstrate that stereotactic radiation is superior to large-field radiation at inducing infiltration of immune cells into tumors and that plasma cells and class switched B cells are highly resistant to radiation therapy. These results represent the most comprehensive analysis of the effects of radiation on B cells to date and identify novel mechanisms by which radiation modulates immune cells within the tumor microenvironment.

Abstract 1612: Tumor intrinsic changes determine immune-checkpoint response in Richter's transformation

Abstract Richter's transformation (RT) is a clinically challenging and aggressive transformation of CLL (Chronic lymphocytic leukemia) to lymphoma. Immune-checkpoint therapy has improved outcomes in selective lymphoma types. Nearly 40% of RT patients respond to anti-PD1, while the underlying CLL do not show any response, and 10% of CLL patients progress post-anti-PD1 treatment. Previous studies mostly focused on T-cell responses elicited by anti-PD1, however, intrinsic changes in CLL and RT B-cells induced by the treatment remains elusive. We hypothesized that pre-existing active transcriptional circuitry and distinct B-cell subsets in the CLL and RT B-cells may determine the response to anti-PD1 treatment. Peripheral blood mononuclear cells (PBMCs) from 3 patients who received pembrolizumab(anti-PD1) as a single agent. Samples were obtained at baseline and 3 months post-treatment initiation. Among these patients, 2 are progressors while 1 is a responder. We performed single-cell RNAseq (10X Genomics) on B-cells enriched from PBMCs derived from 3 samples (1 Responder: RS2, 2 progressors: CLL14 and CLL17) before and after treatment using chromium single cell 3' gene expression library. A total of ~10000 cells were captured with an average detection of 1000 genes/sample. To delineate the transcriptional changes upon the anti-PD1 treatment, we first integrated the single-cell data from 6 samples (before and after Pembro) and performed unsupervised clustering analysis using UMAP (Uniform Manifold Approximation and projection). We identified 8 different clusters based on highly expressed marker genes. Cluster 2(C2) was increased in the responder as compared to the progressors post-pem treatment. To determine the activated pathways in each cluster, we performed gene-set enrichment analysis (GSEA) using the Enrichr method. This analysis revealed upregulation of distinct pathways related to IFNG/MYC(C1), IFNG(C2), ER stress(C3), B-cell dependent T cell activation related pathway(C4), MYC targets/TNFα(C5,6,7) indicating intra-tumor transcriptional heterogeneity. To decipher the intratumor cell differentiation changes, we performed pseudotime trajectory analysis using Monocle 2 coupled with B cell developmental stage markers. We identified 7 different states, with distinct changes of state in responder sample RS2 (State 4,5, 6, and 7 were increased in RS2 post-treatment) while CLL samples(progressors) did not have distinct changes. Integration with B cell development revealed that aggressive B cells with CD38 expression were highly induced upon anti-PD1 in responder RS2 while regulatory (CD1d) and memory B cells (CD27) remained the same, suggesting PD1 induced intrinsic changes contributing to the disease response. We identified distinct transcriptional states in B cells within responders and progressors which may govern the intra-tumor and inter-tumor heterogeneity to the anti-PD1 response. Citation Format: Prajish Sundaram Iyer, Lu Yang, Yang Zhi Zhang, Hyo Jin Kim, Charla Secreto, Sutapa Sinha, Neil Kay, Stephen Ansell, Wei Ding, Lili Wang. Tumor intrinsic changes determine immune-checkpoint response in Richter's transformation [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 1612.

The Isolation, Differentiation, and Quantification of Human Antibody-secreting B Cells from Blood: ELISpot as a Functional Readout of Humoral Immunity.

The hallmark of humoral immunity is to generate functional ASCs, which synthesize and secrete Abs specific to an antigen (Ag), such as a pathogen, and are used for host defense. For the quantitative determination of the functional status of the humoral immune response of an individual, both serum Abs and circulating ASCs are commonly measured as functional readouts. In humans, peripheral blood is the most convenient and readily accessible sample that can be used for the determination of the humoral immune response elicited by host B cells. Distinct B-cell subsets, including ASCs, can be isolated directly from peripheral blood via selection with lineage-specific Ab-conjugated microbeads or via cell sorting with flow cytometry. Moreover, purified naïve and memory B cells can be activated and differentiated into ASCs in culture. The functional activities of ASCs to contribute to Ab secretion can be quantified by ELISpot, which is an assay that converges enzyme-linked immunoabsorbance assay (ELISA) and western blotting technologies to enable the enumeration of individual ASCs at the single-cell level. In practice, the ELISpot assay has been increasingly used to evaluate vaccine efficacy because of the ease of handling of a large number of blood samples. The methods of isolating human B cells from peripheral blood, the differentiation of B cells into ASCs in vitro, and the employment of ELISpot for the quantification of total IgM- and IgG-ASCs will be described here.

The Ebola Interferon Inhibiting Domains Attenuate and Dysregulate Cell-Mediated Immune Responses.

Ebola virus (EBOV) infections are characterized by deficient T-lymphocyte responses, T-lymphocyte apoptosis and lymphopenia. We previously showed that disabling of interferon-inhibiting domains (IIDs) in the VP24 and VP35 proteins effectively unblocks maturation of dendritic cells (DCs) and increases the secretion of cytokines and chemokines. Here, we investigated the role of IIDs in adaptive and innate cell-mediated responses using recombinant viruses carrying point mutations, which disabled IIDs in VP24 (EBOV/VP24m), VP35 (EBOV/VP35m) or both (EBOV/VP35m/VP24m). Peripheral blood mononuclear cells (PBMCs) from cytomegalovirus (CMV)-seropositive donors were inoculated with the panel of viruses and stimulated with CMV pp65 peptides. Disabling of the VP35 IID resulted in increased proliferation and higher percentages of CD4+ T cells secreting IFNγ and/or TNFα. To address the role of aberrant DC maturation in the IID-mediated suppression of T cell responses, CMV-stimulated DCs were infected with the panel of viruses and co-cultured with autologous T-lymphocytes. Infection with EBOV/VP35m infection resulted in a significant increase, as compared to wt EBOV, in proliferating CD4+ cells secreting IFNγ, TNFα and IL-2. Experiments with expanded CMV-specific T cells demonstrated their increased activation following co-cultivation with CMV-pulsed DCs pre-infected with EBOV/VP24m, EBOV/VP35m and EBOV/VP35m/VP24m, as compared to wt EBOV. Both IIDs were found to block phosphorylation of TCR complex-associated adaptors and downstream signaling molecules. Next, we examined the effects of IIDs on the function of B cells in infected PBMC. Infection with EBOV/VP35m and EBOV/VP35m/VP24m resulted in significant increases in the percentages of phenotypically distinct B-cell subsets and plasma cells, as compared to wt EBOV, suggesting inhibition of B cell function and differentiation by VP35 IID. Finally, infection with EBOV/VP35m increased activation of NK cells, as compared to wt EBOV. These results demonstrate a global suppression of cell-mediated responses by EBOV IIDs and identify the role of DCs in suppression of T-cell responses.

Subtyping of B-Cell Malignancies By B-Cell Subset Associated Gene Signatures (BAGS), Generated from Human Primary and Secondary Lymphoid Organs.

BackgroundToday's diagnostic tests for B-cell malignancies reflect the criteria of the updated WHO classification based on cellular biomarkers and clinicopathologic heterogeneity. To that end, we proposed a new biological subtyping of malignancies by B-cell subset associated gene signatures (BAGS), generated from the normal B-cell hierarchy in primary and secondary lymphoid organs. Our concept is that BAGS can be used for identification of the "cell of origin" subtyping in selected B-cell malignancies (1), as recently shown for diffuse large B-cell lymphoma (DLBCL) based on B-cell sorting of normal tonsil tissue (2), and currently investigated in Multiple myeloma (MM).Material and MethodsWe used multiparametric flow cytometry (MFC) phenotyping by a multicolor single tube Euro flow standard approach (CD3/CD10/CD19/CD20/CD27/CD34/CD38/CD45) to identify and sort distinct B-cell subset of 20,000-50,000 cells from normal sternal bone marrow for microarray analysis. Isolated mRNA from sorted subsets of PreB-I, PreB-II, immature (I), naïve (N), memory (M) and plasma cell (PC) was amplified and hybridized to Affymetrix Gene Chip Human Exon 1.0 ST array to generate gene expression profiles (GEP).Construction of the bone marrrow specific BAGS was based on median-centered probe sets from the GEP data using regularized multinomial regression with 5-6 discrete outcomes representing B-cell subtypes using the software R.The classification system was validated using online available GEP data from tumor biopsy samples of newly diagnosed MM patients. Each patient tumor GEP data underwent BAGS assignment according to the highest predicted probability score above 0.15 or was otherwise unclassified. To compensate for cohort-wise technical batch effects, each cohort was median centered and adjusted probe set-wise to have same variance as the normal bone marrow specific data.ResultsIn bone marrow from sternum splits, the CD45+ leukocyte population accounted for a median of 55% (range 39-63%) of total number of mononuclear cells aspirated and the B-cell compartment was enumerated as the CD45+/CD19+/CD3- compartment of median 14% (3-27%). Among these 0.7% (0.2-2.4%) were PreBI, and 28% (6-38%) were PreBII subsets. A median of 4% (2-6%) were I cells and 29% (16%-39%) were N cells. The post-germinal cells comprised a median of 5 % (2-10%) M subsets and 19 % (13-30%) PC subsets.Following FACS and GEP of these minor subsets we validated the quality of each subset by expression of the used CD genes and expected transcription factors (TF) as illustrated in Figure 1A-D and published for DLBCL (2).The resultant tumor assignments exhibited BAGS subtyping frequencies of patient cases in available cohorts of MM (N=1,126) as shown in Table 1 and in DLBCL (N= 1,139) as published (2). The percentage of patients in each subtype was not significantly different between data set of MM, as in DLBCL (2)ConclusionWe have validated datasets of distinct normal B-cell subsets and generated bone marrow and tonsil specific BAGS to be used for subtyping of multiple myeloma (2) and diffuse large B cell lymphomas (3), with impact on staging and prognosis.

Mitochondrial function provides instructive signals for activation-induced B-cell fates.

During immune reactions, functionally distinct B-cell subsets are generated by stochastic processes, including class-switch recombination (CSR) and plasma cell differentiation (PCD). In this study, we show a strong association between individual B-cell fates and mitochondrial functions. CSR occurs specifically in activated B cells with increased mitochondrial mass and membrane potential, which augment mitochondrial reactive oxygen species (mROS), whereas PCD occurs in cells with decreased mitochondrial mass and potential. These events are consequences of initial slight changes in mROS in mitochondriahigh B-cell populations. In CSR-committed cells, mROS attenuates haeme synthesis by inhibiting ferrous ion addition to protoporphyrin IX, thereby maintaining Bach2 function. Reduced mROS then promotes PCD by increasing haeme synthesis. In PCD-committed cells, Blimp1 reduces mitochondrial mass, thereby reducing mROS levels. Identifying mROS as a haeme synthesis regulator increases the understanding of mechanisms regulating haeme homeostasis and cell fate determination after B-cell activation.

Identification of co-expressed gene signatures in mouse B1, marginal zone and B2 B-cell populations.

In mice, three major B-cell subsets have been identified with distinct functionalities: B1 B cells, marginal zone B cells and follicular B2 B cells. Here, we used the growing body of publicly available transcriptomics data to create an expression atlas of 84 gene expression microarray data sets of distinct mouse B-cell subsets. These data were subjected to network-based cluster analysis using BioLayout Express(3D). Using this analysis tool, genes with related functions clustered together in discrete regions of the network graph and enabled the identification of transcriptional networks that underpinned the functional activity of distinct cell populations. Some gene clusters were expressed highly by most of the cell populations included in this analysis (such as those with activity related to house-keeping functions). Others contained genes with expression patterns specific to distinct B-cell subsets. While these clusters contained many genes typically associated with the activity of the cells they were specifically expressed in, many novel B-cell-subset-specific candidate genes were identified. A large number of uncharacterized genes were also represented in these B-cell lineage-specific clusters. Further analysis of the activities of these uncharacterized candidate genes will lead to the identification of novel B-cell lineage-specific transcription factors and regulators of B-cell function. We also analysed 36 microarray data sets from distinct human B-cell populations. These data showed that mouse and human germinal centre B cells shared similar transcriptional features, whereas mouse B1 B cells were distinct from proposed human B1 B cells.

Expression profiles of novel cell surface molecules on B-cell subsets and plasma cells as analyzed by flow cytometry

Cell surface molecules are present on several lymphocyte subsets and are differentially expressed during lymphocyte development and activation. Human Leukocyte Differentiation Antigen (HLDA) Workshops have played an essential role in the identification and characterization of the molecules found in the membrane of hematopoietic cells. In the present study, the reactivities of sixty-five monoclonal antibodies (mAbs) submitted to the HLDA9 Workshop were tested. A multicolor flow cytometric analysis was performed in order to determine the expression profiles of these proteins on peripheral blood lymphocytes, hematopoietic cell lines, and tonsil B-cells. The following B-cell subsets were assessed: mature naïve, pre-germinal center, germinal center, unswitched and switched memory, plasmablasts, and plasma cells. Immunohistochemical analysis on formalin-fixed paraffin-embedded tonsils was also carried out. Remarkably, a large group of immunoglobulin family inhibitory cell surface molecules were observed on several distinct B-cell subsets including: CD152 (CTLA4), CD170 (Siglec-5), CD272 (BTLA), CD305 (LAIR1), CD307d (FCRL4), and CD329 (Siglec-9). The following molecules were also found to be differentially expressed on B-cell subsets (CD80, CD185 (CXCR5), CD196 (CCR6), CD270 (TNFRSF14), CD307a–c (FCRL1–3), CD319 (SLAMF7) and CD362 (SDC2)) or delineated B-cell subpopulations (CD126 (IL-6R), CD255 (TNFSF12), CD264 (TNFRSF10D), CD267 (TNFRSF13B) and CD329 (Siglec-9)). Of these, only CD307a, CD307b, and CD307d presented a B-cell-specific expression pattern. Our results show that several of these molecules are capable of further subdividing the known B-cell subsets and, in fact, may represent new markers for research, diagnosis, and eventually targets for the treatment of B-cell malignancies and autoimmune diseases.

Elucidation of seventeen human peripheral blood B‐cell subsets and quantification of the tetanus response using a density‐based method for the automated identification of cell populations in multidimensional flow cytometry data

Advances in multiparameter flow cytometry (FCM) now allow for the independent detection of larger numbers of fluorochromes on individual cells, generating data with increasingly higher dimensionality. The increased complexity of these data has made it difficult to identify cell populations from high-dimensional FCM data using traditional manual gating strategies based on single-color or two-color displays. To address this challenge, we developed a novel program, FLOCK (FLOw Clustering without K), that uses a density-based clustering approach to algorithmically identify biologically relevant cell populations from multiple samples in an unbiased fashion, thereby eliminating operator-dependent variability. FLOCK was used to objectively identify seventeen distinct B-cell subsets in a human peripheral blood sample and to identify and quantify novel plasmablast subsets responding transiently to tetanus and other vaccinations in peripheral blood. FLOCK has been implemented in the publically available Immunology Database and Analysis Portal-ImmPort (http://www.immport.org)-for open use by the immunology research community. FLOCK is able to identify cell subsets in experiments that use multiparameter FCM through an objective, automated computational approach. The use of algorithms like FLOCK for FCM data analysis obviates the need for subjective and labor-intensive manual gating to identify and quantify cell subsets. Novel populations identified by these computational approaches can serve as hypotheses for further experimental study.

Characterization of phenotypically distinct B-cell subsets and receptor-stimulated mitogen-activated protein kinase activation in human cord blood B cells

Human cord blood (CB) is a valuable source of hematopoietic stem cells, but clinical reports have indicated slow recovery of B-cell development and function after CB transplantation. To investigate the basis of these B-cell defects in reconstitution, we characterized B cells purified from CB. We compared B-cell receptor activation and B-cell subsets in CB, bone marrow (BM), and peripheral blood (PB). We found that in CB B cells activation of extracellular signal-regulated kinase (ERK) and p38 following ligation of CD40 but not of the B-cell antigen receptor (BCR) was inefficient. The patterns of expression of CD5, CD34, and CD40 in the B-cell population of CB were similar to those in PB rather than in BM. The B cells in CB contained an increased proportion of B cells expressing a high level of CD24 and a low proportion of B cells expressing CD27, pointing to the presence of circulating CD24high immature transitional and CD27(-) naive B cells. CD40-mediated activation of ERK and p38 was also minimal in these B cells of CB. These findings may account for the functional defects of B cells in transplanted CB.

Age-associated alterations in CXCL1 chemokine expression by murine B cells

BackgroundThe CXCL1 chemokines, macrophage inflammatory protein-2 (MIP-2) and cytokine-induced neutrophil chemoattractant (KC), have been shown to play a role in a number of pathophysiological disease states including endotoxin-induced inflammation and bacterial meningitis. While the expression of these chemokines has been identified in a variety of cell types in the mouse, little is known about their expression with murine B-lymphocytes.ResultsHere, we demonstrate that highly purified murine splenic B cells are capable of expressing both MIP-2 and KC protein and mRNA upon activation with lipopolysaccharide (LPS) but not in response to anti-μ and anti-CD40 in combination with interleukin-4 (IL-4) stimulation. Moreover, these chemokines are expressed at higher levels in B cells derived from young (4 m) compared to old (24–29 m) mice. Upon fractionation into distinct B-cell subsets, we found that the expression of MIP-2 and KC by aged follicular (FO) B cells is significantly decreased when compared to the same cells from younger mice, while only MIP-2 production was found to be diminished in aged marginal zone (MZ) B cells. Interestingly, MIP-2 and KC production by newly formed (NF) B cells did not significantly differ with age. Moreover, the potential relevance of these findings is supported by the poor ability of LPS-activated aged B cells to specifically mediate CXCL1-dependent leukocyte recruitment when compared to younger B cells.ConclusionOverall, the decreased expression of CXCL1 chemokines by aged B cells in response to LPS may have potential implications on the secondary recruitment of leukocytes to sites of microbial infections and inflammation possibly contributing to the increased susceptibility of older subjects to pathogen challenge.

Effect of anti-CD20 monoclonal antibody, Rituxan, on cynomolgus monkey and human B cells in a whole blood matrix.

Cynomolgus monkeys are widely used animal models in biomedical research. The differences between cynomolgus monkey and human B cells are not completely understood. However, these differences are of crucial importance for interpretation of data from studies on new therapeutic agents aimed at B-cell depletion, such as anti-CD20 monoclonal antibodies. Multicolor fluorescence-activated cell sorting analysis of peripheral blood B cells was performed on samples treated ex vivo with the anti-CD20 therapeutic monoclonal antibody, Rituxan, in a whole blood matrix. In contrast to humans, cynomolgus monkeys had two distinct B-cell subsets, CD20highCD40lowCD21- and CD20lowCD40highCD21+. These B-cell subsets had a 2.5-fold difference in the EC50 for Rituxan binding and differed significantly in their in vitro susceptibility to Rituxan depletion. Human B cells were similar to the CD20lowCD40highCD21+ cynomolgus monkey B cells with regard to their EC50 for Rituxan and response to Rituxan in a whole blood matrix assay. CD21 was upregulated, whereas CD40 was downregulated at incubation with Rituxan in the CD20lowCD40highCD21+ monkey and human B cells in a concentration-dependent manner. These findings have direct implications for in vivo studies of therapeutic agents that target B cells in cynomolgus monkeys and for extrapolation of the results to humans. In addition, our data are consistent with the model in which CD20, CD21, and CD40 exist in a supramolecular complex that is affected by anti-CD20 monoclonal antibodies.

Selection in the expression of functionally distinct B-cell subsets

Although the isolation and characterization of functionally distinct B-cell subsets has been a major preoccupation of immunologists for the past two decades, only recently has it been recognized that the various B-cell subsets may be disparately selected during their development and maturation on the basis of their expressed Ig V regions. Thus, pre-B cells are selected for clonal expansion and maturation by virtue of the amino-acid sequence of their nascent H chains and newly emerging B cells may be selected for longevity and subset distribution on the basis of both clonotype-specific and relatively non-specific interactions of their surface Ig receptors.