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Journal of Virology logoLink to Journal of Virology
. 2019 Sep 12;93(19):e00973-19. doi: 10.1128/JVI.00973-19

Primary Human B Cells at Different Differentiation and Maturation Stages Exhibit Distinct Susceptibilities to Vaccinia Virus Binding and Infection

Nicole Shepherd a, Jie Lan a, Wei Li a, Sushmita Rane a, Qigui Yu a,
Editor: Rozanne M Sandri-Goldinb
PMCID: PMC6744248  PMID: 31292245

Our results provide critical information to the field of poxvirus binding and infection tropism. We demonstrate that VACV preferentially infects memory B cells that play an important role in a rapid and vigorous antibody-mediated immune response upon reinfection by a pathogen. Additionally, this work highlights the potential of B cells as natural cellular models to identify VACV receptors or dissect the molecular mechanisms underlying key steps of the VACV life cycle, such as binding, penetration, entry, and replication in primary human cells. The understanding of VACV biology in human primary cells is essential for the development of a safe and effective live-virus vector for oncolytic virus therapy and vaccines against smallpox, other pathogens, and cancer.

KEYWORDS: B cells, binding, early gene, infection, late gene, plasma cells, vaccinia virus

ABSTRACT

Vaccinia virus (VACV), the prototypical member of the poxvirus family, was used as a live-virus vaccine to eradicate smallpox worldwide and has recently received considerable attention because of its potential as a prominent vector for the development of vaccines against infectious diseases and as an oncolytic virus for cancer therapy. Studies have demonstrated that VACV exhibits an extremely strong bias for binding to and infection of primary human antigen-presenting cells (APCs), including monocytes, macrophages, and dendritic cells. However, very few studies have assessed the interactions of VACV with primary human B cells, a main type of professional APCs. In this study, we evaluated the susceptibility of primary human peripheral B cells at various differentiation and maturation stages to VACV binding, infection, and replication. We found that plasmablasts were resistant to VACV binding, while other B subsets, including transitional, mature naive, memory, and plasma cells, were highly susceptible to VACV binding. VACV binding preference was likely associated with differential expression of chemokine receptors, particularly CXCR5. Infection studies showed that plasmablast, plasma, transitional, and mature naive B cells were resistant to VACV infection, while memory B cells were preferentially infected. VACV infection in ex vivo B cells was abortive, which occurred at the stage of late viral gene expression. In contrast, activated B cells were permissive to productive VACV infection. Thus, primary human B cells at different differentiation stages exhibit distinct susceptibilities to VACV binding and infection, and the infections are abortive and productive in ex vivo and activated B cells, respectively.

IMPORTANCE Our results provide critical information to the field of poxvirus binding and infection tropism. We demonstrate that VACV preferentially infects memory B cells that play an important role in a rapid and vigorous antibody-mediated immune response upon reinfection by a pathogen. Additionally, this work highlights the potential of B cells as natural cellular models to identify VACV receptors or dissect the molecular mechanisms underlying key steps of the VACV life cycle, such as binding, penetration, entry, and replication in primary human cells. The understanding of VACV biology in human primary cells is essential for the development of a safe and effective live-virus vector for oncolytic virus therapy and vaccines against smallpox, other pathogens, and cancer.

INTRODUCTION

Poxviruses are a large family of DNA viruses that have recently attracted substantial attention for their potential use as bioterrorism agents (1), emerging zoonotic infections that are being increasingly reported worldwide (26), clinical application for oncolytic virus therapy (79), and the development of vaccine vectors against infectious pathogens and cancer (10, 11). Variola virus, the causative agent of smallpox, is the most notorious member of poxviruses that represented a great threat to humans for centuries. This virus could be used as a devastating bioweapon due to the unaccounted-for virus stocks in decommissioned laboratories and the vast majority of the population lacking vaccination with vaccinia virus (VACV), the prototypical poxvirus used as a live-virus vaccine to eradicate smallpox (12). In addition to the threat of smallpox, monkeypox, which is caused by infection with monkeypox virus, represents an emerging deadly disease in humans (13). Monkeypox can spread from animals to humans fairly easily if humans come into contact with infected animals, leading to a disfiguring smallpox-like disease with a mortality rate of approximately 10% in Africa (13). While monkeypox is endemic to Africa, an outbreak infecting 47 individuals occurred in 2003 in the United States (5, 14). Several other poxviruses, including buffalopox, cowpox, tanapox, and Cantagalo virus, are also emerging in South America, Africa, Europe, India, and the United States (6, 1518). Thus, human zoonotic poxvirus infections are increasingly encountered outside their usual geographical ranges. However, besides these threats to life and health of humans, several poxviruses have been intensively studied as live-virus vectors for oncolytic virus therapy and vaccine development to control infectious diseases in animals and humans (11, 1930). Poxviruses such as VACV have a safe profile in humans (31), a broad infection spectrum of tumor cells (32), a rapid cytolytic replication cycle (33), a strict cytoplasmic life cycle with no DNA integration (31, 34), and a large DNA genome to allow stable incorporations of large transgenes (35). These unique biological features make them ideal candidates as oncolytic agents for cancer therapy and vaccine vectors against infectious diseases. A canarypox-vectored HIV vaccine, known as RV144, demonstrated moderate success after a 6-year clinical trial on more than 16,000 volunteers in Thailand (11). To date, this is the only HIV vaccine showing evidence of protection against HIV infection, suggesting that poxviruses are promising vectors for development of vaccines against pathogens such as HIV and cancer.

Poxviruses, including VACV, demonstrate an extremely strong preference for binding to and infection of primary human antigen-presenting cells (APCs), including monocytes, macrophages, and dendritic cells (DCs) (3639). However, very few studies have evaluated VACV binding to and infection of primary human B cells that are a main type of APCs in addition to producing antibodies. Clinical studies and animal experiments have demonstrated that B cells are involved in poxvirus infection and antiviral memory immune responses (4, 3638). In VACV zoonotic outbreaks in Brazil, individuals acutely infected with VACV exhibit decreased peripheral B cell counts and activation compared to levels for uninfected individuals, indicating that VACV targets B cells in some manner (4). Additionally, antibodies in VACV-vaccinated macaques play a major role in long-term protection against monkeypox virus infection (40), indicating that VACV-specific B cell responses are important for protection from monkeypox. Therefore, it is important to evaluate the interactions of poxviruses such as VACV with primary B cells to better understand the effect of poxvirus infection on B cell biology.

B cells comprise 5% to 15% of total lymphocytes in the human body and play an important role in the adaptive immune system (41). In addition to producing antibodies, B cells perform critical immune functions, including cytokine production, generation of immunological memory, costimulation of T cells, regulation of DC function, and antigen presentation (41, 42). Disruption of B cell development or function results in autoimmune diseases, immunodeficiency disorders, and malignancies (41, 42). B cells are a highly heterogeneous population of cells at different stages of maturation and differentiation, each with unique functional properties and cell surface phenotypes. Development of B cells begins with common lymphoid progenitors (CLPs) that progress through the early stages of B cell maturation in the bone marrow. Immature B cells exit the bone marrow through the blood to migrate to peripheral lymphoid tissues, where they mature to express IgM and IgD. Upon engagement with an antigen and costimulatory signals, mature B cells migrate to lymphoid tissue germinal centers (GCs) and subsequently exit to differentiate into either memory B cells, plasmablasts, or plasma cells to provide immediate or persistent protection (43). According to B cell maturation stages, circulating peripheral blood B cells can be classified into (i) transitional, (ii) mature naive, (iii) memory, and (iv) plasmablasts/plasma cells. Memory B cells can be further classified into nonswitched memory, IgM-only memory, and class-switched memory subsets based on their differential expression of unique Ig heavy chain of IgD or IgM isotypes (41, 42). It remains unknown how VACV interacts with circulating peripheral blood B cells at different maturation stages. In the present study, we investigated VACV binding to and infection of primary human B cells at various stages of cell maturation and differentiation in the blood. We found that plasmablasts were resistant to VACV binding, while B cells at other differentiation and maturation stages exhibited no defects in VACV binding. Plasmablast, plasma, mature naive, and transitional B cell subsets were resistant to VACV infection, while memory B cells were susceptible to VACV infection. VACV infection in ex vivo B cells was aborted at the late stage of viral gene expression.

RESULTS

VACV robustly bound to but moderately or weakly infected primary human B cells.

Studies using peripheral blood mononuclear cells (PBMCs) from healthy blood donors have demonstrated that ex vivo APCs, including monocytes, dendritic cells, and B cells, displayed robust VACV binding (39, 44), while only moderate or weak infection was seen in B cells (36, 38, 39, 44). To better understand this difference between binding and infection, we first examined if this disparity was recapitulated in isolated B cells by assessing VACV binding and infection in isolated ex vivo B cells. We found that the highly purified (purity of >97% CD19+) ex vivo B cells were highly susceptible to VACV binding but moderately or weakly infected by VACV (Fig. 1). These binding and infection results were in agreement with observations in PBMCs from previous studies (39, 44). Since B cells were positively isolated using the pan-B cell marker of CD19, these isolated B cells contained CD20hi transitional and mature B cells and CD20lo B cells such as plasmablasts and plasma cells. We next did surface staining of ex vivo B cells with a fluorochrome-conjugated antibody against human CD20 to evaluate susceptibility of CD19+ CD20lo B cells and CD19+ CD20hi B cells to VACV binding and infection. We observed that 58.3% ± 5.1% (n = 5) of CD19+ CD20hi B cells and 22.6% ± 2.3% (n = 5) of CD19+ CD20lo B cells were bound with VACV (Fig. 1A and B). Thus, VACV binding showed a strong bias toward CD19+ CD20hi B cells rather than CD19+ CD20lo B cells (Fig. 1A and B). In one of our previous reports, we demonstrated that VACV receptors were highly enriched in the lipid rafts of primary human monocytes/macrophages (44). To test whether VACV binding molecules are enriched in lipid rafts of ex vivo B cells, we studied colocalization of VACV binding with lipid rafts on the surface of B cells. As shown in Fig. 1C, colocalization of VACV with lipid rafts on B cells was observed, indicating that VACV receptors are strongly associated with lipid rafts in ex vivo B cells. In comparison to VACV binding, both CD19+ CD20hi B cells and CD19+ CD20lo B cells exhibited decreased susceptibility to VACV infection. After 12 h of infection with VV-EGFP, a recombinant VACV containing a chimeric gene that encodes the influenza virus nucleoprotein, the ovalbumin SIINFEKL peptide, and enhanced green fluorescent protein (EGFP) under the control of the P7.5 early/late promoter, 14.2% ± 3.9% (n = 3) and 10.6% ± 5.1% (n = 3) of CD19+ CD20hi and CD19+ CD20lo B cells, respectively, became EGFP positive (Fig. 1D and E). CD19+ CD20lo B cells were more resistant to VACV infection than CD19+ CD20hi B cells (Fig. 1E), probably due to less binding of this B cell subpopulation to VACV. Thus, CD19+ CD20lo B cells exhibit low susceptibility to VACV binding and infection (Fig. 1F). Taken together, VACV robustly bound to but moderately or weakly infected human primary B cells.

FIG 1.

FIG 1

VACV robustly bound to but moderately or weakly infected primary human B cells. Recombinant VACV strains of vA5L-YFP and VV-EGFP were used to analyze VACV binding and infection in isolated primary human B cells, respectively. VACV was used at an MOI of 0.5. (A) Representative FCM plots for VACV binding. (B) Pooled data of VACV binding to CD19+ CD20hi and CD19+ CD20lo B cells from 5 healthy blood donors. (C) VACV (vA5L-YFP, green) binding to lipid rafts (CTB staining, red) on the surface of ex vivo primary human B cells. Scale bars represent 5 μM. The data represent the results of VV binding to lipid rafts on ex vivo primary human B cells from 3 blood donors. (D) Representative FCM plots for VACV infection. (E) Pooled data of VACV infection of CD19+ CD20hi and CD19+ CD20lo B cells from 3 healthy blood donors. (F) Analysis and comparison of VACV binding and infection in CD19+ CD20hi and CD19+ CD20lo B cells. Graphs represent means ± standard errors of the means (SEM). Data were compared using paired t test (B and E) or Student's t test (F). *, P < 0.05; **, P < 0.01; ***, P < 0.001; ns, not significant. Mock, binding, or infection experiments without addition of virions are also shown.

VACV aggressively bound to multiple subsets of B cells but not plasmablasts.

We next comprehensively analyzed the susceptibility of peripheral B cells at different differentiation and maturation stages to VACV binding. Circulating peripheral blood B cells are highly heterogeneous and can be classified according to their differentiation and maturation stages into (i) transitional (CD19+ CD38+ CD24+ CD27), (ii) mature naive (CD19+ IgD+ CD27 CD21+), (iii) memory (CD19+ CD27+), (iv) plasmablast (CD19+ CD20lo CD138 CD38+ CD27+), and (v) plasma (CD19+ CD20+ CD138+) cells (41, 42). Among these B cell subpopulations, memory B cells can be further classified into nonswitched memory (CD19+ CD27+ IgD+ IgM+), IgM-only memory (CD19+ CD27+ IgD IgM+), and class-switched memory (CD19+ CD27+ IgD IgM) based on their differential expression of unique Ig heavy chain of IgD or IgM isotypes (41, 42). The VACV binding and infection spectrum of these B cell subpopulations has not been studied. To study the binding spectrum, we incubated vA5L-YFP, a recombinant VACV containing viral core protein fused with yellow fluorescent protein (YFP), to allow direct visualization of virus particles by flow-cytometric analysis (FCM) or confocal microscopy with ex vivo peripheral B cells at 4°C for 30 min, a condition that allows VACV binding but not entry. After cell-free virions were removed by extensive washing, cells were subjected to FCM of VACV binding to specific B cell subsets. We found that VACV displayed robust binding to all other subsets of ex vivo B cells except plasmablasts (Fig. 2A and B). The majority of transitional, mature naive, memory, nonswitched memory, IgM memory, class-switched memory, and plasma cells were VACV positive, ranging from 56.1% of mature naive (CD19+ IgD+ CD27 CD21+) to 81.6% of nonswitched memory (CD19+ CD27+ IgD+ IgM+) B cells (Fig. 2A and B). In contrast, less than 14.9% of plasmablasts exhibited VACV binding (Fig. 2A and B). Thus, VACV binds to plasmablasts at a significantly lower level than that of other B cell subsets.

FIG 2.

FIG 2

VACV aggressively bound to the majority of B cell subpopulations but not plasmablasts. FCM analysis of VACV binding to specific B cell subpopulations and association with chemokine receptors or costimulatory molecules on the surface of B cells. (A) Isolated ex vivo B cells were subjected to vA5L-YFP binding at an MOI of 0.5 at 4°C for 30 min. VACV binding to specific B cell subsets was measured by YFP-positive cells using FCM. (B to D) B cell subsets or B cells expressing specific molecules were gated for analyzing the percentage of cells with VACV binding. (B) Pooled data represented mean ± SEM (n = 5) VACV binding (percentage of YFP-positive cells) to B cell subsets as indicated. (C) A representative FCM plot showing VACV binding to B cells expressing costimulatory molecules (CD80 and CD86) and chemokine receptors (CXCR4 and CXCR5). (D) Pooled data represented means ± SEM (n = 5) VACV binding (percentage of YFP-positive cells) to B cells expressing costimulatory molecules (CD80 and CD86) and chemokine receptors (CXCR4 and CXCR5). (E to G) VACV-bound (YFP-positive) B cells were gated first for analyzing the prevalence of B cell subsets or specific molecules. (E) Pooled data represented means ± SEM (n = 5) B cell subset composition in the VACV-bound cells. (F) A representative of the gating strategy for analysis of VACV-bound B cells expressing CD80, CD86, CXCR4, or CXCR5. (G) Pooled data represented mean ± SEM (n = 5) distribution of specific molecule expression in the VACV-bound cells. Data were obtained from 5 healthy blood donors and were compared using ANOVA with Tukey’s post hoc test. *, P < 0.05; ***, P < 0.001; ns, not significant.

The receptors for poxviruses have yet to be discovered. One study has suggested that myxoma virus, a rabbit-specific poxvirus that causes a lethal disease (myxomatosis) in rabbits only (32, 45), uses chemokine receptors such as CXCR4 and CCR5 to bind to and enter into cells (32, 46). However, these results have not been reproduced with other poxviruses, such as VACV. To test whether chemokine receptors serve as VACV receptors, we examined VACV binding to B cells expressing CXCR4 or CXCR5 versus CD80 or CD86. In CXCR4+ or CXCR5+ B cells, 51.9% and 58.5%, respectively, displayed VACV bound to the cell surface, while approximately 70% CD80+ or CD86+ B cells were VACV bound (Fig. 2C and D). However, these results did not indicate that CXCR4+ or CXCR5+ B cells were less sensitive to VACV binding than CD80+ or CD86+ B cells, because CXCR4 and CXCR5 were highly expressed on the surface of ex vivo B cells across different B subpopulations, whereas CD80 and CD86 were only expressed in a small percentage (6% to 10%) of ex vivo B cells (data not shown).

We next focused on the VACV-positive B cells to analyze the distribution of the specific B cell subsets bound with VACV particles. As shown in Fig. 2E, VACV-bound cells mainly consisted of memory (34.2%) and mature naive (32.6%) cells, followed by nonswitched memory, class-switched memory, transitional, and plasma cells. VACV-bound B cells contained a very small percentage (<3%) of IgM memory cells and minimal plasmablasts (<1%) (Fig. 2E). When we analyzed the phenotype of VACV-positive B cells in the context of CXCR4, CXCR5, CD80, or CD86 expression, we found that the majority of the VACV-bound B cells expressed CXCR5 (93.8%) or CXCR4 (59.8%), whereas 7.9% and 11.6% of VACV-bound B cells expressed CD80 and CD86, respectively (Fig. 2F and G). Therefore, VACV aggressively binds to the majority of B cell subpopulations, but not plasmablasts, and VACV-bound B cells express high levels of chemokine receptors, particularly CXCR5.

VACV effectively infected subpopulations of memory B cells.

Since VACV displayed a minimal binding to plasmablasts but a strong binding to other subsets of B cells, we sought to assess the VACV infection spectrum in B cell subsets. We found that memory B cells and memory B cell subsets, including nonswitched memory, IgM memory, and class-switched memory cells, were highly permissive to VACV infection, as EGFP-positive cells were observed, ranging from 58.1% of class-switched memory (CD19+ CD27+ IgD IgM) to 66.4% of nonswitched memory (CD19+ CD27+ IgD+ IgM+) B cells (Fig. 3A and B). In contrast, only a small percentage of mature naïve (CD19+ IgD+ CD27 CD21+), transitional (CD19+ CD38+ CD24+ CD27), plasma (CD19+ CD20+ CD138+), and plasmablast (CD19+ CD20lo CD138 CD38+ CD27+) cell subsets were EGFP positive, ranging from 2.3% of transitional to 5.4% of mature naive B cells (Fig. 3A and B). Notably, memory B cells comprised less than 32% of the total B cells in our study (data not shown). Taking this into account, the robust infection (>58%) of memory B cells was diluted in other B cell subsets that were resistant to VACV infection, resulting in a small percentage of infected cells in total B cells. Interestingly, VACV binding to plasma, transitional, and mature naive B cells was robust, but few of these VACV-bound cells displayed infection (Fig. 3A and B), suggesting that these cells were sensitive to VACV binding but resistant to VACV infection. There was no difference in VACV infection between cells expressing CXCR4 and CXCR5 (Fig. 3C and D). However, B cells expressing CD86 were more sensitive to VACV infection than CD80-expressing compartments (Fig. 3C and D), suggesting that activated CD86+ B cells are more vulnerable to VACV infection.

FIG 3.

FIG 3

VACV effectively infected memory B cells. FCM analysis of the sensitivity of B cell subpopulations to VACV infection and association with the expression of chemokine receptors or costimulatory molecules on the surface of B cells. (A) Isolated ex vivo B cells were subjected to VV-EGFP binding at an MOI of 0.5 at 4°C for 30 min, followed by 12 h of incubation at 37°C with 5% CO2. VACV infection to specific B cell subsets was measured by EGFP-positive cells using FCM. (B to D) B cell subsets or specific molecules were gated first before examining VACV infection. (B) Pooled data represented mean ± SEM VACV infection levels (percentage of EGFP-positive cells) for B cell subsets as indicated. (C) A representative sample’s FCM gating strategy for VACV infection of B cells expressing CD80, CD86, CXCR4, or CXCR5. (D) Pooled data represented mean ± SEM VACV infection (percentage of EGFP-positive cells) of B cells expressing CD80, CD86, CXCR4, or CXCR5 from 3 blood donors. (E to H) VACV-infected (EGFP-positive) B cells were gated first before examining the prevalence of B cell subsets or specific molecules. (E) VACV-infected B cells were gated first to analyze the distribution of the specific B cell subsets with VACV infection. (F) Comparison between B cell subsets of VACV-infected and mock-infected cells (n = 3). (G) A representative of the gating strategy for analysis of VACV-infected B cells expressing CD80, CD86, CXCR4, or CXCR5. (H) Pooled data represented mean ± SEM (n = 3) distribution of specific molecule expression in the VACV-infected B cells. Data were compared using ANOVA with Tukey’s post hoc test. *, P < 0.05; ***, P < 0.001; ns, not significant.

We next focused on the VACV-infected B cells to analyze the distribution of the specific B cell subsets with VACV infection. As shown in Fig. 3E, VACV-infected cells mainly consisted of memory cells (66.1%), particularly class-switched memory cells (45.8%), while other B cell subsets comprised a small portion of the VACV-infected B cell population, ranging from 0.3% of plasmablasts to 12.7% of mature naive cells (Fig. 3E). This feature of cell contributions to the pool of VACV-infected primary human B cells was unlikely to be due to effects of VACV infection on B cell survival or epigenetic regulation, as the frequency of B cell subsets between VACV-infected and mock-infected conditions did not show any discernible differences (Fig. 3F). Interestingly, nearly all of the VACV-infected B cells expressed CXCR4 or CXCR5 (Fig. 3G and H), whereas only a small portion of VACV-infected cells expressed CD80 or CD86 (Fig. 3G and H). These results suggest that VACV preferentially infects memory B cells that express chemokine receptors such as CXCR4 and CXCR5.

VACV underwent an abortive infection in unstimulated primary human B cells at the late stage of VACV gene expression.

Poxviruses, such as VACV, undergo an abortive infection in primary human APCs, including monocytes and DCs, and in several human cell lines as well (4752). It is unclear whether VACV undergoes a productive or abortive infection in primary human B cells. To this end, we employed the virus plaque assay to evaluate VACV production in stimulated and unstimulated primary human B cells. We found that VACV titers in the cell lysates of unstimulated B cells initially increased and reached a plateau by 24 h postinfection (h.p.i.) (Fig. 4A and B). After 24 h of infection in unstimulated B cells, VACV titers started to decline (Fig. 4A and B). Similar results for viral plaque assay were also observed in the supernatant of unstimulated B cells over a period of 48 h.p.i. (data not shown). These results indicate that VACV replication is not sustainable during the infection of unstimulated B cells and leads to the overall result of an abortive infection.

FIG 4.

FIG 4

VACV infection in isolated ex vivo primary human B cells was aborted at late gene expression stage. Examination of VACV infection in unstimulated primary human B cells. (A) Representative virus plaque assay using unstimulated primary human B cells infected with VACV-WR at an MOI of 2 for 3 h, 24 h, or 48 h. (B) Pooled data of virus plaque assays from 5 healthy blood donors. Each dot in a group represents data from a single individual. (C) RT-PCR analysis of VACV early, intermediate, and late gene expression in unstimulated primary human B cells. Zero hour indicates that cells were incubated with VACV under the binding condition, followed by washing with cold PBS and isolation of total RNA. Data were obtained from 5 healthy blood donors.

We next determined which step in the life cycle of VACV infection was halted in unstimulated B cells. Since VACV binding was not the limiting step, we focused on analysis of the expression of VACV early (A23R and C11R), intermediate (A2L and G8R), and late (A17L and B7R) genes. Reverse transcription-PCR (RT-PCR) results revealed that the expression of VACV early (A23R and C11R) and intermediate (A2L and G8R) genes was detected within 1 h and 9 h of postinfection, respectively (Fig. 4C). However, the expression of VACV late genes (A17L and B7R) was minimal or not detected in infected B cells by 24 h postinfection (Fig. 4C). Thus, the abortive VACV infection in primary human B cells is most likely due to the failure to adequately express the late viral genes that are important for viral assembly, maturation, and release.

VACV underwent a productive infection in activated primary human B cells.

While naive T cells show minimal to no VACV binding and infection, activated T cells have been shown to allow for strong binding and limited viral infection (39, 44). Additionally, autoimmune skin disorders are a contraindication for receiving live VACV as the smallpox vaccine, and these disorders result in overactivation of B cells (53, 54). Thus, we examined VACV infection in activated B cells to assess the interplay between B cell activation and VACV infection. We stimulated primary human B cells with TLR9 agonist CpG ODN 2006 plus IgG/IgM antibodies to activate B cells. As shown in Fig. 5A and B, cells were activated, as the lymphocyte activation markers (CD69 and CD83) and APC costimulatory molecules (CD80 and CD86) were markedly induced on the surface of stimulated B cells. We used a multiplex assay to measure the levels of 45 cytokines, chemokines, and growth factors in the cell-free supernatants of unstimulated and stimulated B cells. We found that 33 of these cytokines, chemokines, and growth factors, including alpha interferon (IFN-α), IFN-γ, interleukin-1α (IL-1α), IL-1β, IL-1RA, IL-2, IL-4, IL-5, IL-6, IL-7, IL-10, IL-12p70, IL-13, IL-15, IL-17A, IL-18, IL-21, IL-27, LIF, IFN-α, IL-8, macrophage inflammatory protein 1α (MIP-1α)/CCL3, MIP-1β/CCL4, RANTES/CCL5, stromal cell-derived factor 1α (SDF-1α)/CXCL12, granulocyte macrophage colony-stimulating factor (GM-CSF), hepatocyte growth factor (HGF), nerve growth factor β (NGF-β), platelet-derived growth factor (PDGF)-BB, placenta growth factor 1 (PIGF-1), stem cell factor (SCF), vascular endothelial growth factor A (VEGF-A), and VEGF-D were markedly induced at 3 h of stimulation and continued to increase along the period of 24 h of stimulation (Table 1). Enzyme-linked immunosorbent assay (ELISA) results also validated that the levels of IL-6 and IL-10 were increased in the cell-free supernatants of simulated B cells compared to that of unstimulated B cells (Fig. 5B), although increased IL-10 did not reach statistical significance due to the immense variation among samples (Fig. 5C). These results demonstrate that primary human B cells are activated in vitro.

FIG 5.

FIG 5

VACV infection in stimulated primary human B cells was permissive. Evaluation of VACV infection in stimulated primary human B cells. (A) Analysis of B cell activation using FCM to assess B cell activation markers, including CD69, CD80, CD83, and CD86. (B and C) ELISA measurement of IL-6 (n = 6) and IL-10 (n = 5) levels in the supernatants from unstimulated and stimulated primary human B cells. (D) Representative virus plaque assay using cell lysates of stimulated B cells infected with VACV-WR at an MOI of 2 for various time points as indicated. (E) Pooled data for virus plaque assays. Each dot in a group represents data from a single individual (n = 6). (F) Representative virus plaque assay using cell-free supernatants from stimulated B cells infected with VACV-WR at an MOI of 2 for various time points as indicated. (G) Pooled data of the virus plaque assays from cell-free supernatants of stimulated B cells infected with VACV-WR at an MOI of 2 for various time points as indicated. Each dot in a group represents data from a single individual (n = 3). (H) RT-PCR analysis of VACV early, intermediate, and late gene expression in stimulated B cells infected with VACV-WR at an MOI of 2 for various time points as indicated. The data represent the results of VACV gene expression in stimulated B cells from 3 blood donors (n = 3). Data were compared using paired t test (B and C) or ANOVA with Tukey’s post hoc test (E and G). Lines represent means ± SEM. *, P < 0.05; ***, P < 0.001. unstim, unstimulated B cells; stim, stimulated B cells; ns, not significant; h.p.i., hours postinfection.

TABLE 1.

Production of cytokines/chemokines/growth factors by unstimulated and stimulated B cells

Analyte Production ata :
3 h
8 h
24 h
Unstimulated Stimulated Unstimulated Stimulated Unstimulated Stimulated
IFN-α 2.3 ± 3.3 19.9 ± 13.7* 1.9 ± 1.7 35.8 ± 21.1* 2.2 ± 2.6 47.0 ± 54.8*
IFN-γ 2.4 ± 1.7 44.0 ± 40.0* 2.2 ± 1.5 83.9 ± 71.4* 1.8 ± 1.3 79.0 ± 113.4*
IL-1α 1.0 ± 1.1 8.4 ± 5.5* 0.5 ± 0.7 11.8 ± 8.4* 0.9 ± 0.8 14.2 ± 15.8*
IL-1β 1.5 ± 1.7 38.3 ± 27.2* 1.1 ± 1.0 76.4 ± 65.4* 1.0 ± 1.8 125.2 ± 169.2*
IL-1RA 108.1 ± 122.8 1,761 ± 1,369* 165.1 ± 183.5 3,661 ± 2,915* 235.8 ± 331.4 36,391 ± 82,493*
IL-2 13.8 ± 8.7 132.8 ± 86.8* 15.6 ± 11.7 230.6 ± 192.5* 10.7 ± 5.2 200.8 ± 212.3*
IL-4 10.5 ± 6.5 75.1 ± 45.7* 9.7 ± 6.5 142.9 ± 99.1* 9.8 ± 4.3 147.0 ± 140.5*
IL-5 5.6 ± 1.8 33.1 ± 19.1* 4.7 ± 2.6 47.7 ± 27.7* 4.6 ± 3.3 33.9 ± 22.6*
IL-6 19.5 ± 30.9 748 ± 399* 27.4 ± 31.6 1,738 ± 1,261* 16.0 ± 25.6 2,921 ± 3,939*
IL-7 1.7 ± 1.4 12.1 ± 5.9* 2.0 ± 1.8 15.7 ± 7.7* 1.9 ± 1.4 18.6 ± 8.5*
IL-9 18.4 ± 35.7 18.1 ± 27.4 15.6 ± 25.0 36.8 ± 42.3 8.1 ± 18.6 83.3 ± 121.6
IL-10 1.0 ± 0.4 32.0 ± 26.2* 1.0 ± 0.3 127.8 ± 144.5* 1.0 ± 0.2 215.0 ± 146.0*
IL-12p70 0.04 ± 0.0 26.7 ± 18.5* 0.04 ± 0.0 38.2 ± 21.5* 0.04 ± 0.0 42.3 ± 36.0*
IL-13 5.2 ± 5.6 35.5 ± 19.1* 4.3 ± 5.0 53.7 ± 33.1* 2.8 ± 3.3 61.8 ± 52.3*
IL-15 8.6 ± 5.6 87.4 ± 37.3* 6.9 ± 6.4 136.0 ± 68.9* 12.1 ± 5.5 146.6 ± 124.1*
IL-17A 3.4 ± 3.1 50.6 ± 29.8* 3.9 ± 2.5 67.4 ± 44.6* 3.1 ± 1.8 67.1 ± 61.9*
IL-18 10.5 ± 6.2 54.3 ± 25.5* 12.2 ± 10.8 105.5 ± 69.2* 11.4 ± 6.5 138.7 ± 183.2*
IL-21 11.5 ± 9.4 458.9 ± 338.7* 10.7 ± 10.1 566.2 ± 356.9* 17.3 ± 11.2 411.4 ± 340.5*
IL-22 86.4 ± 96.2 95.9 ± 29.4 53.9 ± 37.0 130.6 ± 63.7 42.0 ± 33.5 138.6 ± 51.2*
IL-23 289.9 ± 351.4 334.2 ± 266.4 138.3 ± 129.6 557.2 ± 360.0 439.7 ± 418.6 701.7 ± 529.6
IL-27 59.4 ± 85.7 545.3 ± 294.9* 48.6 ± 67.6 736.1 ± 497.4* 28.0 ± 56.1 909.1 ± 909.4*
IL-31 54.6 ± 119.1 57.4 ± 64.3 39.5 ± 63.5 105.8 ± 142.5 3.3 ± 0.0 125.4 ± 138.8
LIF 0.6 ± 0.4 7.1 ± 3.5* 0.7 ± 0.4 9.2 ± 4.4* 0.7 ± 0.6 8.5 ± 5.6*
TNF-α 7.9 ± 2.9 36.1 ± 22.0* 8.0 ± 4.3 73.0 ± 57.6* 7.0 ± 2.7 82.0 ± 83.3*
TNF-β 1.6 ± 0.0 1.7 ± 0.2 1.7 ± 0.2 10.4 ± 17.7 1.6 ± 0.0 130.3 ± 226.7
Eotaxin 1.5 ± 0.2 2.9 ± 1.3 1.6 ± 0.3 5.3 ± 2.7* 1.7 ± 0.6 6.4 ± 5.0*
GROα 1.4 ± 1.6 8.3 ± 11.0 0.8 ± 0.6 28.7 ± 39.0 1.3 ± 1.3 67.1 ± 129.2*
IL-8 193.5 ± 344.9 523.8 ± 580.7* 356.8 ± 745.8 1,339 ± 1,058* 392.1 ± 786.7 2,762 ± 3,667*
IP-10 6.6 ± 4.1 8.4 ± 3.2 7.2 ± 4.3 12.0 ± 5.3 5.9 ± 6.5 18.0 ± 9.1
MCP-1 338.4 ± 424.5 719.3 ± 799.6* 307.8 ± 356.2 1,409 ± 1,415* 1,317 ± 1,469 2,191 ± 2,807
MIP-1α 3.6 ± 3.0 65.7 ± 35.5* 5.2 ± 6.0 123.1 ± 72.3* 5.8 ± 2.9 274.3 ± 414.8*
MIP-1β 23.7 ± 32.4 174.4 ± 54.3* 18.8 ± 23.2 393.1 ± 125.4* 52.7 ± 17.6 841.3 ± 620.6*
RANTES 6.2 ± 8.9 4.7 ± 3.5 4.9 ± 4.8 16.8 ± 26.0* 3.7 ± 3.6 19.7 ± 19.1*
SDF-1α 394.0 ± 528.0 1,777 ± 1,581* 197.1 ± 212.8 3,377 ± 2,579* 806.0 ± 915.1 6,279 ± 9,814*
BDNF 2.3 ± 2.5 3.5 ± 1.9 2.0 ± 2.0 5.3 ± 2.8 2.1 ± 2.3 8.2 ± 10.8*
EGF 3.6 ± 4.0 8.1 ± 2.6 2.6 ± 1.5 10.7 ± 4.1* 3.9 ± 4.3 13.2 ± 9.1
FGF-2 6.1 ± 8.2 8.7 ± 8.7 7.1 ± 7.2 12.5 ± 14.3 5.3 ± 4.3 14.0 ± 16.4
GM-CSF 13.1 ± 13.4 168.8 ± 78.1* 20.2 ± 22.9 197.3 ± 111.0* 9.3 ± 10.2 180.3 ± 126.2*
HGF 8.0 ± 5.7 86.1 ± 46.7* 7.0 ± 4.4 127.0 ± 79.8* 9.1 ± 4.4 162.3 ± 139.8*
NGFβ 2.5 ± 1.5 20.9 ± 12.7* 4.2 ± 2.1 42.8 ± 30.7* 2.9 ± 2.1 64.6 ± 88.3*
PDGF-BB 8.4 ± 6.0 13.9 ± 5.4 5.8 ± 1.8 15.9 ± 6.4* 7.1 ± 3.7 13.8 ± 5.7*
PIGF-1 3.4 ± 4.4 58.0 ± 35.3* 2.2 ± 3.1 93.1 ± 60.1* 3.5 ± 3.5 81.2 ± 70.8*
SCF 3.7 ± 3.1 32.6 ± 22.6* 2.5 ± 2.9 56.0 ± 41.4* 2.5 ± 2.1 62.9 ± 69.4*
VEGF-A 11.9 ± 15.9 470.5 ± 324.9* 8.0 ± 10.8 607.0 ± 328.1* 10.0 ± 11.5 454.0 ± 266.5*
VEGF-D 2.3 ± 2.4 42.3 ± 20.3* 1.6 ± 0.8 47.7 ± 32.1* 3.4 ± 3.9 41.2 ± 31.8*
a

Data are represented as means ± SD (standard deviations), n= 5. *, P <0.05 for comparison between unstimulated and stimulated primary human cells. Mann-Whitney test was used to compare the production of cytokines, chemokines, and growth factors by stimulated versus unstimulated B cells at each time point.

To assess the replication and productiveness of VACV infection in stimulated B cells, we used the viral plaque assay to quantitate VACV virions in infected cells and cell-free supernatant of activated B cells infected with VACV. In the cell lysates of VACV-infected stimulated B cells, viral titers displayed an increase over a period of 48 h.p.i. (Fig. 5D and E). In the supernatants, however, viral titers reduced over time of cell culture (Fig. 5F and G). These results suggested that new virions were generated but were delayed to egress into culture supernatants. Additionally, assessment of VACV gene expression in infected stimulated B cells showed expression of early, intermediate, and late viral genes (Fig. 5H), further indicating that activated B cells support productive VACV infection.

To study whether B cell function was affected by VACV infection, we used the multiplex assay to analyze and compare the production of 45 cytokines, chemokines, and growth factors in the cell-free supernatants from VACV-infected versus mock-infected unstimulated and activated B cells. In general, the production of these cytokines was not significantly affected by VACV infection (data not shown). However, several cytokines, such as IL-10 and IL-12p70 (data not shown), displayed a trend of decreased production (data not shown). Thus, VACV binding and infection do not profoundly affect the activities of ex vivo or activated B cells in the context of their biosynthesis of cytokines, chemokines, and growth factors.

DISCUSSION

In the present study, we systematically studied VACV binding to and infection of unstimulated and stimulated primary human B cells at different differentiation and maturation stages. We found that VACV robustly bound to but moderately or weakly infected ex vivo primary human B cells (Fig. 1), which is in agreement with previous reports using PBMCs as targets cells of VACV binding and infection (36, 38, 39, 44). These results suggest that B cells express VACV receptors on their surface but have cellular factors or signaling pathways that restrict VACV uptake, entry, and replication. Additionally, our study revealed that the plasmablast compartment was the only subset of human primary B cells that displayed resistance to VACV binding, while the other subsets of B cells, including transitional, mature naive, memory, and plasma cells, displayed high VACV binding activities that are similar to those of other APCs (Fig. 2). These results indicate that plasmablasts lack expression of viral receptors or attachment factors necessary for the initial encounter between host cell and VACV. While many viruses, such as influenza A virus and hepatitis A virus (HAV), use a single molecular species as their receptors (55), several viruses, such as hepatitis B virus (HBV), gain their access into target cells through subsequent engagements of specific proteins, glycoproteins, or carbohydrate residues on the surface of the host cells. Given that VACV effectively uses cell surface glycosaminoglycan (GAG)- and heparin sulfate-dependent and -independent pathways to initiate viral infection (47, 5660), VACV most likely uses a multiprotein receptor-entry-fusion complex to initiate viral binding, attachment, entry, and infection. We found that primary human B cells at different maturation and activation stages exhibited differential activities for VACV binding and infection and thereby could represent natural cellular models to identify and study VACV receptors that have not yet been identified. The various B cell subsets could also be a useful tool to dissect the molecular mechanisms involved in VACV binding, penetration, entry, and replication. This knowledge is essential for the development of a safer smallpox vaccine and more efficacious VACV-based vaccines against cancer and infectious pathogens. VACV is the most widely used vector for vaccine development (30). Currently, many clinical trials are evaluating the use of VACV vectors as preventative and therapeutic vaccines to target several types of cancer and various pathogens, such as HIV-1, HBV, influenza, malaria, and tuberculosis (2230). In addition, poxviruses are being implemented as vaccine vectors for various veterinary vaccines (19). The poxvirus-based vaccine success for cancer and infectious diseases in both humans and animals has led to a revival of interest in characterizing poxvirus binding and infection tropism.

Several cellular proteins, such as epidermal growth factor receptor (EGFR) and chemokine receptors, play roles as viral receptors to mediate poxvirus binding and entry (46, 61). In this study, we studied the role of chemokine receptors CXCR4 and CXCR5 in VACV binding. We observed that the vast majority (93.8%) of VACV-bound cells were positive for CXCR5 (Fig. 2F and G), while a substantial portion (59.8%) of VACV-bound cells was positive for CXCR4 (Fig. 2F and G), indicating that both CXCR5 and CXCR4 are associated with VACV binding. CXCR4 has been demonstrated to be one of the chemokine receptors for poxvirus (myxoma virus) binding and entry (46). Our study demonstrates that CXCR5 likely also plays an important role in VACV binding, thereby representing a new VACV receptor candidate. Since CXCR5 and CXCR4 are widely expressed on a variety of cell types in humans and animals, their coexpression on the cell surface may also be an important determinant for VACV binding. Notably, despite the high percentage of VACV-bound CXCR4+ or CXCR5+ B cells, only a fraction of these CXCR4+ or CXCR5+ cells was infected (Fig. 3D). These results suggest that VACV uses chemokine receptors, particularly CXCR5, as receptors for virus binding but requires other cellular proteins or signaling pathways for virus entry and replication.

In unstimulated ex vivo B cells, VACV displayed an abortive infection. To understand the mechanisms underlying the abortive infection, we analyzed the expression of VACV early, intermediate, and late genes in the infected B cells. We found that the expression of early (C11R and A23R) and intermediate (A2L and G8R) viral genes occurred, but the expression of late genes (A17L and B7R) was not detected (Fig. 4). These results indicate that the abortive VACV infection in unstimulated ex vivo primary human B cells occurs at the late viral gene expression stage. These findings provide insights into and explanations of previous study results that revealed an abortive VACV infection in B cells of PBMCs (39). VACV is a large enveloped virus containing a linear double-stranded DNA genome of ∼192 kb in length that encodes approximately 200 viral proteins. These open reading frames (ORFs) are closely spaced and temporally regulated (62, 63). To date, there are 38 VACV genes that have been identified as late genes (62, 63). These late genes are transcribed following genome replication and require the successive synthesis of intermediate and late transcription factors, encoded by early and intermediate genes, respectively (62, 63). In addition, cellular factors are also directly involved in regulation of late gene expression (62, 63). Therefore, a genome-wide sequencing of VACV-sensitive and -resistant B cells to study early, intermediate, and late transcription will provide a better understanding of poxvirus replication in primary human cells and lead to improvements in design and development of expression vectors and recombinant vaccines.

Live VACV vaccine induces strong humoral responses that play a crucial role in protection against smallpox (6466). After vaccination with live VACV, strong antibody responses against VACV surface proteins, core proteins, and soluble proteins are elicited (64), demonstrating that the human anti‐VACV antibody response is broad. Importantly, there is a correlation between pre‐existing serum neutralizing antibody titers and protection against contracting smallpox (67, 68). These findings indicate that VACV infection generated long-lived virus-specific memory B cells or directly interacts with prememory or memory B cells. We demonstrated that primary human memory B cells, including nonswitched, class-switched, and IgM memory B cells, were highly susceptible to VACV binding and infection (Fig. 2 and 3), suggesting that VACV is able to directly interact with memory B cells. However, the contributions of VACV and memory B cell interactions to protective immunity against smallpox remain unknown. Better understanding of the interplay between VACV and memory B cells may be critical for dissecting the mechanisms underlying the high efficacy, immunogenicity, and safety of live VACV-based vaccines against smallpox and other pathogens, such as HIV. To date, hundreds of different HIV vaccine candidates have been generated, and over 40 of them have been tested in thousands of volunteers worldwide. Poxvirus-based HIV vaccine has been the only one that has demonstrated preventive efficacy from a large-scale HIV vaccine trial (known as RV144) (10, 11). The prespecified analysis of immune correlates of risk has shown that anti-HIV gp120 antibodies, particularly the IgG1 and IgG3 subclasses, seem to play a predominant role in protection against HIV acquisition (69). It would be very interesting to study whether the R144 immune protection against HIV acquisition is related to the direct effects of VACV on memory B cells in vivo.

While naive resting T cells show minimal to no VACV binding and infection, activated T cells have been shown to allow for strong binding and limited viral infection (39, 44). Thus, we examined VACV infection in activated B cells to assess the interplay between B cell activation and VACV infection. We stimulated primary human B cells with TLR9 agonist CpG ODN 2006 plus IgG/IgM antibodies to activate B cells. Cell-free supernatants from unstimulated and stimulated B cells were subjected to a multiplex assay to determine the concentration of 45 cytokines, chemokines, and growth factors. We found that the vast majority of these cytokines, chemokines, and growth factors were markedly induced at 3 h of stimulation and continued to increase along the period of 24 h of stimulation (Table 1). However, neither VACV binding nor infection profoundly affected the production of these cytokines, chemokines, and growth factors by unstimulated and stimulated B cells. This result was in line with the effects of VACV infection on the frequency of B cell subsets. As shown in Fig. 3F, comparison of the frequency of B cell subsets between VACV-infected versus mock-infected cells did not show any discernible differences. However, we found that upon stimulation, B cells displayed increased VACV infection compared to that of unstimulated compartments (Fig. 4), and VACV infection was no longer abortive (Fig. 5E to H). This result indicates that activation of B cells leads to the synthesis of essential receptors or signaling molecules necessary for VACV entry and replication. Since the poxvirus infection is less restricted in activated B cells, this could be one factor leading to the uncontrolled response to VACV infection in individuals with autoimmune skin disorders, which lead to the production of overactive B cells. In combination with the ability to use unstimulated B cells as a tool to study VACV binding and entry, the ability to use activated B cells to better understand the mechanisms underlying VACV infection permissiveness demonstrate that primary B cells may prove to be a vital tool to help understand VACV infection in the hopes of developing better oncolytic poxviruses.

MATERIALS AND METHODS

Ethics statement.

Peripheral blood samples from healthy blood donors were obtained from the Indiana Blood Center (Indianapolis, IN) under an IRB protocol approved by the Indiana University School of Medicine Institutional Review Board for Human Research (Indianapolis, IN). Written informed consent was obtained from each participant before specimen collection.

Preparation and activation of primary human B cells.

Peripheral blood mononuclear cells (PBMCs) were isolated from the whole blood or leukapheresis products using gradient centrifugation on Ficoll-Hypaque (Amersham Pharmacia Biotech AB, Uppsala, Sweden) (47). Isolated PBMCs were subjected to immunomagnetic positive selection of B cells using human CD19 microbeads (Miltenyi Biotec, Auburn, CA). Resulting cell preparations contained more than 97% purity of the B cells when assessed by CD19 staining of an alternate epitope and flow-cytometric analysis (FCM).

Purified ex vivo B cells were directly used for VACV binding and infection. Purified B cells were also activated by culturing in the presence of 20 μg/ml AffiniPure F(ab′)2 fragment goat antihuman IgG + IgM (H+L) (Jackson Immunoresearch Laboratories, West Grove, PA) and 50 nM TLR9 agonist CpG ODN 2006 (InvivoGen, San Diego, CA) in RPMI 1640 medium supplemented with 10% fetal bovine serum (FBS), 1% streptomycin-penicillin, and 2 mM l-glutamine (complete RPMI 1640 medium) for 3 to 24 h at 37°C. Supernatants were subjected to multiplex immunoassays and enzyme-linked immunosorbent assays (ELISAs) to measure the production of cytokines, chemokines, and growth factors, while cells were subjected to surface staining with antibodies against human CD69, CD80, CD83, and CD86 to evaluate B cell activation. Activated B cells were tested for their susceptibility to VACV binding and infection.

Antibodies and FCM.

Anti-human monoclonal antibodies conjugated with fluorochromes were purchased from BD Biosciences (San Jose, CA) or BioLegend (San Diego, CA). These fluorochrome-conjugated antibodies included BCMAPE, CCR6BV605, CCR7PE, CD10PerCP-Cy5.5, CD20APC-Cy7, CD21AF647, CD23PE, CD24BV605, CD25BV605, CD27BV510, CD38BV421, CD40PE-Cy7, CD45RABV605, CD80PE-Cy7, CD86PE, CD138PE-Cy7, CD226AF647, CXCR4PE-Cy7, CXCR5AF647, HLA-DRPerCP-Cy5.5, IgDAF700, IgMPerCP-Cy5.5, and TACIAF647. These antibodies and matched-isotype control antibodies were used for cell surface staining of isolated B cells to analyze B cell phenotype (Table 2). The fluorochrome-conjugated antibodies, including CD69FITC, CD83PE, CD80PE-Cy7, and CD86BV510, were used for cell surface staining of unstimulated and stimulated B cells to evaluate B cell activation. Appropriate isotype controls were used at the same protein concentration as the test antibodies for control staining, which was performed during every FCM. Propidium iodide (PI) staining was also performed in each FCM to exclude dead cells that were PI positive. After cell surface staining, B cells were subjected to FCM using a BD LSRFortessa (BD Bioscience, San Diego, CA). The data were analyzed using FlowJo software (Tree Star, San Carlos, CA).

TABLE 2.

Antibodies and staining strategy for flow-cytometric analysis of B cell phenotypes

Panel 1 Panel 2 Panel 3 Panel 4
CCR7PE CD23PE CD86PE BCMAPE
PI PI PI PI
HLA-DRPerCP-Cy5.5 CD69PerCP-Cy5.5 IgMPerCP-Cy5.5 CD10PerCP-Cy5.5
CXCR4PE-Cy7 CD40PE-Cy7 CD80PE-Cy7 CD138PE-Cy7
CXCR5AF647 CD21AF647 CD226AF647 TACIAF647
IgDAF700 IgDAF700 IgDAF700 IgDAF700
CD20APC-Cy7 CD20APC-Cy7 CD20APC-Cy7 CD20APC-Cy7
CD38BV421 CD38BV421 CD38BV421 CD38BV421
CD27BV510 CD27BV510 CD27BV510 CD27BV510
CCR6BV605 CD25BV605 CD45RABV605 CD24BV605

VACV preparation, binding, and infection.

VV-EGFP and vA5L-YFP, two recombinant reporter viruses generated on the background of Western Reserve VACV (VACV-WR) strain, were obtained from J. W. Yewdell and B. Moss (NIH, Bethesda, MD). VV-EGFP contains a chimeric gene encoding the influenza virus nucleoprotein, the ovalbumin SIINFEKL peptide, and EGFP regulated by the P7.5 early/late promoter (70). EGFP expression was used in this study to evaluate VACV infection. The vA5L-YFP virus contains the VACV A5L core protein fused with yellow fluorescence protein (YFP), allowing for direct visualization of VACV particles by fluorescence microscopy or FCM (71). Therefore, direct visualization of vA5L-YFP was used in this study to evaluate VACV binding.

Viral stocks of VV-EGFP, vA5L-YFP, and VACV-WR were prepared as previously described (72). Briefly, VV-EGFP, vA5L-YFP, and VACV-WR were grown in the monkey kidney fibroblast cell line CV-1 (ATCC, Manassas, VA) in complete RPMI 1640 medium. Cell-associated mature virions were purified using a 36% sucrose gradient followed by a 24% to 40% sucrose gradient. The viral stocks were titrated using a viral plaque assay in CV-1 cells as previously described (72). Briefly, CV-1 cells were grown in 12-well plates to 90% confluence and overlaid with various dilutions of purified virions. After 1.5 h of incubation, cells were washed and overlaid with complete RPMI 1640 containing 1% carboxylmethyl cellulose (CMC) to prevent virus spread. Cells were cultured for 3 days and then stained with 0.01% crystal violet in 15% ethanol solution for 30 min, followed by washing so that viral plaques could be counted to calculate virus PFU.

To assess VACV binding to ex vivo B cells, isolated B cells were incubated with vA5L-YFP virions at a multiplicity of infection (MOI) of 0.5 at 4°C for 30 min in complete RPMI 1640 medium, a condition that permits only virus binding but not entry (39, 72, 73). After multiple washes with ice-cold phosphate-buffered saline (PBS), cells were fixed with 1% paraformaldehyde (PFA) and subsequently subjected to FCM. VV-EGFP was used to observe VACV infection by incubating isolated B cells with virions at an MOI of 0.5 under the binding conditions described above. Cells bound with virions were subsequently incubated at 37°C in 5% CO2 for various periods of time. Cells were collected, fixed with 1% PFA, and subjected to FCM. Infection intensity was calculated by the percentage of EGFP-positive cells.

Confocal microscopy analysis of VACV binding.

Confocal microscopy analysis of VACV binding to ex vivo B cells was conducted as previously described (44). Briefly, ex vivo B cells were incubated with cholera toxin subunit B (CTB) conjugated with Alexa Fluor 647 (Life Technologies, Carlsbad, CA) at 4°C for 20 min to stain ganglioside M1 (GM1)-containing lipid rafts. After washing, cells were incubated with 10 PFU/cell of vA5L-YFP for 30 min under the binding conditions described above. Cells were adhered to poly-l-lysine-coated coverslips and mounted onto glass slides using ProLong Gold antifade reagent (Life Technologies, Carlsbad, CA) containing 4’,6-diamidino-2-phenylindole (DAPI) dye for fluorescent staining of DNA content and nuclei. Cells were analyzed using an Olympus FV1000-MPE confocal/multiphoton microscope fitted with a 60× objective. A z-series of images was collected using the open source software FluoRender 2.7 (University of Utah) and ImageJ 1.44p (NIH, Bethesda, MD).

RT-PCR analysis of VACV gene expression.

Stimulated or unstimulated primary human B cells were incubated with VACV-WR at an MOI of 2 at 4°C for 1 h, washed with PBS, and cultured for various periods of time in complete RPMI 1640 medium. Cells were harvested, washed with PBS, and subjected to RNA extraction using the RNeasy Minikit (Qiagen, Hilden, Germany) according to the manufacturer’s instructions. RNA was subjected to cDNA synthesis using the Superscript III first-strand synthesis kit (Life Technologies, Carlsbad, CA) according to the manufacturer’s instructions. RT-PCR was performed using the Taq PCR master mix kit (Qiagen, Hilden, Germany) with primers against VACV early (A23R and C11R), intermediate (A2L and G8R), and late (A17L and B7R) genes, including the following primers: A23R forward, 5′-CGTTAGTAACGCCATATGGATAATCTATTTACC-3′; A23R reverse, 5′-ACCCTAGTCGTTGGATCCATTTCTGAATC-3′; C11R forward, 5′-CAGATCATTCGCCGATAGTGGTAAC-3′; C11R reverse, 5′-GGTAGTTTAGTTCGTCGAGTGAACCT-3′; A2L forward, 5′-TCGTGTCCATAATCCTCTACCAT-3′; A2L reverse, 5′-TCCACGGATGATGTAGATGCAAA-3′; G8R forward, 5′-GGCGGATCTGTAAACATTTGGG-3′; G8R reverse, 5′-TCCTCGTAGTTTGTTGAGAGACG-3′; A17L forward, 5′-GGGCCATGGCTTATTTAAGATATTACAATATGCTT-3′; A17L reverse, 5′-GGGGGATCCTTAATAATCGTCAGTATTTAAACT-3′; B7R forward, 5′-TATCGGATCCAATAATGAGTACACTCCG-3′; B7R reverse, 5′-GAGCGAATTCTTAAAAATCATATTTTGA-3′ (Life Technologies, Carlsbad, CA). Expression data were analyzed for the presence of gene expression at particular time points of incubation as an indication of VACV infection progression.

Multiplex immunoassays and ELISAs.

Unstimulated and stimulated B cells were left uninfected or were infected with VACV for various time intervals. Cell-free supernatants were subjected to the multiplex immunoassays to simultaneously measure the concentrations of 45 human cytokines, chemokines, and growth factors (brain-derived neurotrophic factor [BDNF], Eotaxin/CCL11, EGF, fibroblast growth factor 2 [FGF-2], GM-CSF, GRO-α/CXCL1, HGF, NGF-β, leukemia inhibitory factor [LIF], IFN-α, IFN-γ, IL-1β, IL-1α, IL-1RA, IL-2, IL-4, IL-5, IL-6, IL-7, IL-8/CXCL8, IL-9, IL-10, IL-12p70, IL-13, IL-15, IL-17A, IL-18, IL-21, IL-22, IL-23, IL-27, IL-31, IP-10/CXCL10, MCP-1/CCL2, MIP-1α/CCL3, MIP-1β/CCL4, RANTES/CCL5, SDF-1α/CXCL12, TNF-α, TNF-β/LTA, PDGF-BB, PLGF-1, SCF, VEGF-A, and VEGF-D) using the ProcartaPlex human cytokine/chemokine/growth factor panel 1 45plex kit (Invitrogen, Carlsbad, CA) per the manufacturer’s instructions. The standards were run on each plate in duplicate, and all samples were assayed concurrently to avoid interassay variability. Data were acquired using a Luminex-100 system, and the concentrations of cytokines/chemokines/growth factors were calculated using the Bio-Plex Manager v6.1 software (Bio-Rad, Hercules, CA). For statistical analyses, values below the detection limit of the assay were replaced with the minimal detectable concentrations for each analyte as provided by the manufacturer.

To validate the multiplex immunoassay results, concentrations of IL-6 and IL-10 in the cell-free supernatant of cultured B cells were also measured using the human IL-6 DuoSet (R&D Systems, Minneapolis, MN) and IL-10 (Life Technologies, Carlsbad, CA) ELISA kits according to the manufacturer’s instructions.

Statistical analysis.

Data from two groups were analyzed using the Student's t test or paired t test, and data from three or more groups were analyzed using analysis of variance (ANOVA) with Tukey’s post hoc test. The Mann-Whitney test was used to compare the production of cytokines, chemokines, and growth factors by stimulated versus unstimulated B cells at each time point. P values of <0.05 were considered statistically significant.

ACKNOWLEDGMENTS

We thank J. W. Yewdell and B. Moss at NIH (Bethesda, MD) for VV-EGFP and vA5L-YFP.

This work was supported in part by a Grand Challenges Explorations (GCE) Phase II grant through the Bill & Melinda Gates Foundation (OPP1035237 to Q.Y.), NIH grant 1R21AI104268 (to Q.Y.), the Showalter Research Trust Fund (to Q.Y.), and Research Facilities Improvement Program grant C06 RR015481-01 from the National Center for Research Resources, NIH, to the Indiana University School of Medicine.

N.S. and Q.Y. designed and performed research, analyzed data, and wrote the paper. J.L., W.L., and S.R. contributed vital new reagents and assisted with virus preparation.

We declare that we have no conflicts of interest.

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