key: cord-0870975-hycby1pl authors: Klarquist, Jared; Cross, Eric W.; Thompson, Scott B.; Willett, Benjamin; Aldridge, Daniel L.; Caffrey-Carr, Alayna K.; Xu, Zhenming; Hunter, Christopher A.; Getahun, Andrew; Kedl, Ross M. title: B cells promote CD8 T cell primary and memory responses to subunit vaccines date: 2021-08-24 journal: Cell Rep DOI: 10.1016/j.celrep.2021.109591 sha: 9c701cc56543d9f6f4272edb32412fde97617c8d doc_id: 870975 cord_uid: hycby1pl The relationship between B cells and CD4 T cells has been carefully studied, revealing a collaborative effort in which B cells promote the activation, differentiation, and expansion of CD4 T cells while the so-called “helper” cells provide signals to B cells, influencing their class switching and fate. Interactions between B cells and CD8 T cells are not as well studied, although CD8 T cells exhibit an accelerated contraction after certain infections in B-cell-deficient mice. Here, we find that B cells significantly enhance primary CD8 T cell responses after vaccination. Moreover, memory CD8 numbers and function are impaired in B-cell-deficient animals, leading to increased susceptibility to bacterial challenge. We also show that interleukin-27 production by B cells contributes to their impact on primary, but not memory, CD8 responses. Better understanding of the interactions between CD8 T cells and B cells may aid in the design of more effective future vaccine strategies. Studies in mice utilizing experimental infectious agents have helped outline the mechanisms driving T cell immunity. Given the similarly robust cellular responses they elicit, it is often assumed that protein subunit vaccine formulations function via the factors that govern responses to infections. In contrast to these assumptions, numerous mechanisms of adjuvant-elicited CD8 T cell immunity that are not shared by their infection-elicited T cell counterparts have been identified. We recently documented the amount of interleukin (IL)-27 produced by conventional type 1 dendritic cells (cDC1s) as an innate correlate of CD8 T cell protective memory after adjuvant administration (Kilgore et al., , 2020 . This correlation was sufficiently robust so as to facilitate the predictive stratification of adjuvants for their CD8 T-cell-eliciting potential (Kilgore et al., 2020) . The predictive value of this relationship fit well with the dependency of adjuvant-elicited, but not infection elicited, CD4 and CD8 T cell responses on T-cell-intrinsic IL-27 signaling (Klarquist et al., 2018; Pennock et al., 2014) . Indeed, maximal T cell expansion to adjuvant administration requires multiple cytokines and transcription factors (Tbet, Eomesodermin [Eomes] ) (Klarquist et al., 2018) that are not required by T cells responding to infectious challenges (Banerjee et al., 2010; Becker et al., 2002; Intlekofer et al., 2008; Liu et al., 2014; Mayer et al., 2008; Obar et al., 2004; Wehrens et al., 2018; Wherry et al., 2002) . After vaccine adjuvant delivery, these cytokines are necessary for enabling a unique metabolic program in subunit vaccine-elicited T cells (Klarquist et al., 2018) . Whereas T cells responding to infection depend on glycolysis to fuel clonal expansion, mitochondrial function is overwhelmingly favored during adjuvant-elicited clonal expansion, and the proliferating T cells are largely indifferent to glycolytic blockade. Thus, there are major differences in the factors relied upon by infection-elicited and adjuvant-elicited CD8 T cell responses to support clonal expansion, survival, and memory formation. Whereas IL-15 and IL-27 are produced by cDC1s Sosinowski et al., 2013) , other antigen (Ag)-presenting cells (APCs) including B cells, also have the capacity to make one or both cytokines. Indeed, one member of the IL-27 heterodimer, Ebi3 (Epstein-Barr virus [EBV] induced gene 3), was originally isolated from EBV-infected B cells, and B cells produce IL-15 and IL-27 upon stimulation with Toll-like receptor (TLR) ligands or CD40L (Schneider et al., 2011; Yan et al., 2020) . Furthermore, B cell expression of IL-27 has been linked to CD8 T cell recovery after lymphoablation (Ayasoufi et al., 2019) , and T cell memory in IL-27Rα −/− hosts is functionally compromised (Pennock et al., 2014) . Similarly, IL-15 production by B cells has been observed in mouse models of multiple sclerosis (MS) and systemic lupus erythematosus (SLE), as well as in human MS patients (Ma et al., 2014; Schneider et al., 2011) . In addition to cytokine production, B cells may also be competent for cross-presentation to CD8 T cells. Although still controversial (Keller et al., 2009) , multiple groups have demonstrated B cell cross-presentation to CD8 T cells using a variety of model systems (Castiglioni et al., 2005; Hon et al., 2005; Ke and Kapp, 1996; Robson et al., 2008; Zanetti et al.,2004) . CD8 T cells are not classically thought to traffic into or reside within B cell zones, legitimately calling into question the in vivo applicability of in vitro demonstrations of B cell cross-presentation. However, a large portion of CD8 T cells actually do migrate into the marginal and B cell zones of the spleen within the first 3 days after lymphocytic choriomeningitis virus (LCMV) challenge (Hu et al., 2011; Jung et al., 2010) , and a substantial proportion of memory CD8 T cells can be found within the B cell zone at late time points after Listeria monocytogenes (LM) challenge (Khanna et al., 2007) . These data suggest that there may be ample opportunity for CD8 T-cell:B-cell interactions over the course of adaptive immune generation. Previous work in various infection models has broadly documented an indifference of primary CD8 T cell responses to the presence of B cells, including LM (Shen et al., 2003) , influenza (León et al., 2014) , LCMV (Asano and Ahmed, 1996; Homann et al., 1998) , vaccinia virus (Bründler et al., 1996) , and vesicular stomatitis virus (Bründler et al., 1996) . Several of these studies detailed an accelerated contraction that yielded either low (Shen et al., 2003) or normal (Asano and Ahmed, 1996; León et al., 2014) numbers of Ag-specific memory CD8 T cells; however, this finding was not universal, with B cells dispensable for CD8 T cell memory in other studies (Bründler et al., 1996; Di Rosa and Matzinger, 1996; Whitmire et al., 2009) . Indeed, in some model systems, CD8 T cells actually limit the B cell response as a result of Ag-mediated recognition and killing of Ag-specific B cells (Barnaba et al., 1990) . These data do not necessarily contradict, but rather underscore, the idea that immune processes learned from one infectious model do not define immunity at large. In one study, antibodies were found to play a role in capturing and stabilizing Ag after influenza infection, thereby enhancing Ag presentation by DCs (León et al., 2014) . However, in all other examples where B cells influenced CD8 T cell contraction (Asano and Ahmed, 1996; Bründler et al., 1996; Homann et al., 1998; Shen et al., 2003) , underlying mechanisms have been left largely unexplained. In exploring a potential role for B cells in the generation of CD8 T cell responses, we found that B cells impact both the primary and memory Ag-specific CD8 T cell responses to subunit vaccines. These results were independent of CD4 T cells or antibody production and were instead due to B-cell-intrinsic factors that were absent in mice deficient in B cells or with a fixed B cell receptor (BCR). Collectively, our results challenge the conventional paradigm of how B cells influence cellular immunity and suggest that some form of CD8 T cell:B cell collaboration is critical for elicitation of maximal CD8 T cell responses after subunit vaccination. After adjuvanted subunit immunization, total B cell numbers increase as much as 4-fold within 4 days, in a manner dependent on the adjuvant. The largest increase seen was predictably with a vaccine that utilizes whole ovalbumin protein (OVA) with poly(I:C) and agonistic CD40 antibody (combined-adjuvant), but all single adjuvants evaluated also induced substantial B cell expansion after vaccination ( Figure 1A ). The considerable size of the B cell pool at these early time points led us to investigate whether B cells contributed to the CD8 T cell response. To explore this, we compared the CD8 T cell response to combined-adjuvant immunization in C57BL/6 wild-type (WT) and μMT −/− B-cell-deficient mice. To mitigate any possible confounding effects on the T cell repertoire of having no B cells present during T cell development, 200 T cell receptor (TCR) transgenic OT1 T cells were transferred 1 day before immunization, a number known to respond to immunological challenge but not completely outcompete an endogenous CD8 T cell response (Badovinac et al., 2007) . The number and frequency of endogenous and transferred Ag-specific CD8 T cells were significantly reduced in B-cell-deficient mice at the peak of the response, 7 days after combined-adjuvant immunization ( Figures 1B and 1 C) . This was not simply due to the lower number of total CD8 T cells typically found in μMT −/− mice, because (1) the total number of transferred OT1 T cells was significantly lower, and (2) endogenous tetramer+ cells were significantly reduced as a percentage of total CD8 T cells in μMT −/− mice compared to WT controls ( Figure 1D ). A trivial explanation for these results might be that the complete absence of B cells indirectly impacted T cell priming simply because of the disruption of secondary lymphoid tissue architecture (Ngo et al., 2001) . Therefore, we used the MD4 transgenic mouse, in which >90% of the B cells have a fixed specificity toward hen egg lysozyme (HEL) (Goodnow et al., 1988) . Unlike the μMT −/− mice, the splenic architecture in MD4 mice is relatively normal (Figure 1E ), and the MD4 mouse has a normal frequency of CD4 T cells, cDC1s, and Tregs ( Figure S1 ). Compared to WT, MD4 mice have slightly fewer CD8 T cells and B cells overall ( Figure S1 ) but exhibited a similar early expansion and contraction of total B cells after combined-adjuvant subunit vaccination compared to WT controls ( Figure 1F ). As in the B-cell-deficient host, CD8 T cell responses to combined-adjuvant subunit vaccination in the MD4 mice were substantially reduced. This was true for combined adjuvant immunization administered intravenously (i.v.) or subcutaneously (s.c.) ( Figure 1G ), as well as for single adjuvants delivered as soluble ( Figure 1H ) or alum-precipitated ( Figure 1I ) formulations. Again, the CD8 T cell response was reduced in both numbers ( Figures 1G-1I , top) and frequency bottom) . In contrast to these various forms of subunit vaccination, there was no difference in the CD8 T cell response between MD4 and WT controls after infection with OVA-expressing LM (LM-OVA), ( Figure 1J ), in line with previous reports of LM infections in μMT −/− mice (Shen et al., 2003) . Finally, the quantitative difference in primary CD8 T cell responses between WT and MD4 mice was independent of Ag dose ( Figure S2A ) and was not restricted to the use of OVA; we obtained similar data when immunizing with herpes simplex virus glycoprotein B (HSVgB) or severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike receptor-binding domain (RBD) proteins ( Figures S2B-S2D ). CD8 T cell responses to SARS-CoV-2 RBD were analyzed by intracellular cytokine staining after restimulation with the peptide VVLSFELL, a peptide within the RBD known to elicit CD8 T cell responses to SARS-CoV (Zhao et al., 2010) , and conserved in SARS-CoV-2 (Davenport et al., 2021) . Collectively, we concluded that B cells influence the CD8 T cell response to subunit vaccination, but not infection, and that this influence is not limited to a specific adjuvant formulation, Ag, or route of administration. Since the presence of B cells specific for an irrelevant Ag did not rescue the CD8 T cell response, it was possible that the production of Ag-specific antibody was required for maximal primary CD8 T cell responses to vaccines. Indeed, the formation of Ag-specific Ag-Ab complexes have been shown to facilitate CD8 T cell immunity by enhancing DC Ag capture, retention, and presentation (León et al., 2014) . Therefore, we investigated whether mice deficient in the capacity to make Ag-Ab complexes, formed either by secreted natural immunoglobulin (Ig)M or Ag-specific IgG, would also show reduced CD8 response to vaccination. However, no defects in CD8 T cell primary cell numbers were observed after vaccination of secreted IgM-deficient mice (sIgM − ) or activation-induced cytidine deaminase-knockout (AID −/− ) hosts (Figures 2A and 2B ), effectively ruling out these possibilities. We did not specifically test a possible role for secreted, circulating IgD, although this seems highly unlikely, given that detectable sIgD largely depends on class switched IgD+IgM− cells (Chen et al., 2009; Choi et al., 2017) , a process that requires AID (Choi et al., 2017) and was therefore tested in our AID −/− experiments. We also eliminated the possibility that defective CD4 T cell responses were responsible for the diminished primary response in both μMT −/− and MD4 mice by depleting CD4 T cells 2-5 days before immunization ( Figure S3 ). CD4 depletion did not significantly change the Ag-specific CD8 T cell numbers at day 7 ( Figure 2C ), consistent with our published data showing no role for CD4 T cells in the primary expansion of CD8 T cells to subunit vaccination (Ahonen et al., 2004; Edwards et al., 2013) . To determine whether there were any differences in the quality of the response, we performed ex vivo cytokine restimulation assays at the peak of the response to combined adjuvant immunization. In line with our tetramer data, there was a significant difference in the frequency of cytokine-producing, Ag-specific CD8 T cells between WT and MD4 mice ( Figures 3A-3C ). Additionally, more detailed analyses revealed striking differences in the quality of the response. Although there were no differences observed in the percentage of cells producing 2 or more cytokines ( Figures 3D and 3E) , a significantly higher percentage of cytokine+ cells in WT mice produced IL-2, compared to those in MD4 mice ( Figure 3F ). Moreover, WT cells produced higher levels of interferon gamma (IFNγ) and IL-2 on a per-cell basis ( Figure 3G ). These data were potentially highly significant, given that IL-2 is uniquely capable of driving T cell memory development (Feau et al., 2011; Sarkar et al., 2008; Williams et al., 2006) , and suggested a skewing of the response toward effectors in the MD4 host. Consistent with this, Ag-specific T cells in MD4 mice substantially increased their percentage of granzyme B+CD127− T cells (Figures 3H and 3I) . In contrast, CD8 T cells in WT mice skewed more toward a memory phenotype, with a reduced percentage of granzyme B+ cells ( Figure 3I ) that also produced less granzyme B on a per-cell basis ( Figure 3J ). These results were highly informative, given that the primary goal of prophylactic vaccination is the development of long-lasting, protective immunity. Therefore, we examined more closely the memory/terminal effector phenotypes of CD8 T cells 7 days after vaccination in WT and MD4 mice, including their expression of transcription factors known to influence these cell-fate decisions. Eomes, although dispensable for the primary response to infectious challenge, is critical to the primary response to subunit vaccination (Klarquist et al., 2018) . Endogenous CD8 T cells responding in the MD4 host had reduced levels of Eomes compared to those in the WT ( Figures 4A and 4B ). The biological impact of this was apparent in the reduction in CD122 (IL-2Rβ) expression, a shared component of the heterotrimeric IL-15 and IL-2 receptors that Eomes is known to regulate (Intlekofer et al., 2005) . Both of these factors are downstream of IL-27, which is essential for promoting the necessary metabolic support for the CD8 T cell responses to subunit vaccination (Klarquist et al., 2018) . Indeed, the CD8 T cells in the MD4 phenocopied (Eomes low CD122 low ) vaccine responses generated in the absence of IL-27 (Klarquist et al., 2018; Pennock et al., 2014) . Additionally, the percentage of cells maintaining high TCF1, which correlates with the self-renewal capacity of pre-memory T cell populations (Im et al., 2016; Kratchmarov et al., 2018; Lin et al., 2016) , was significantly reduced in Ag-specific CD8 T cells from MD4 mice. Reciprocally, those T cells exhibited higher IRF4, which can inhibit TCF1 and impair memory development (Man et al., 2017) (Figures 4A and 4B ). These results, along with the IL-2 and granzyme B data noted earlier, suggested that CD8 T cells from the MD4 host would display increased phenotypic characteristics of effector cells (high KLRG1 and/or low CD127) and decreased characteristics of memory precursors (high CD127). Indeed, and in contrast to previous reports on infection in B-cell-deficient hosts (León et al., 2014) , we observed significant changes in the memory precursor versus terminally differentiated effector phenotype of the cells after immunization. In fact, the entire defect in the MD4 primary response was limited to a loss of CD127 high cells ( Figures 4C and 4D ). Taken together, the cytokine profile, transcriptional program, and surface protein phenotype of Ag-specific CD8 T cells in MD4 animals demonstrated a skewing away from the memory phenotype that usually predominates subunit vaccination. To determine the long-term consequences of the functional and phenotypic differences we observed earlier, we tracked Ag-specific CD8 T cell memory for 12 weeks after immunization. To control for the requirement of CD4 help during priming, we depleted CD4 T cells 2-5 days before vaccination ( Figure S3 ). As seen in the spleens 7 days after immunization ( Figure 2 ), CD4 T cell depletion actually resulted in an overall increase in tetramer+ CD8 T cell frequency at all time points ( Figure 5A ). This increase was independent of a polyclonal B cell repertoire, as it also occurred in the MD4 host ( Figure 5A ). However, circulating Ag-specific CD8 T cell survival to memory was dramatically reduced in MD4 mice compared to WT controls in both the intact and CD4-depleted conditions. Analysis of these results by a two-way ANOVA yielded a significant interaction effect (p < 0.001), indicating that the MD4 defect in CD8 memory was exaggerated compared to what would have been predicted simply by the reduced primary response; that is, the slope of the decay in Ag-specific CD8 T cells was significantly increased in MD4 mice compared to that in WT mice. Analysis of the Ag-specific CD8 T cell responses in WT and MD4 mice depleted of CD4 T cells before vaccination also resulted in a statistically significant interaction effect, indicating that the accelerated decay of CD8 T cells in the MD4 host was not CD4 dependent. Moreover, there was no significant interaction effect when comparing the decay of memory T cells over time between isotype-control-treated and CD4-depleted WT mice; thus, while initially depleting CD4 T cells changed the peak magnitude of the CD8 T cell response, it had no impact on the persistence of memory CD8 T cells. This memory T cell defect was also not dependent on the use of the combined adjuvant, as MD4 mice also had significantly reduced splenic tetramer+ cell numbers after vaccination with single adjuvants ( Figure 5B ). Furthermore, within the splenic memory CD8 T cells, there were significantly lower proportions of CD62L+ central memory cells at 3 months post-vaccination, and fewer memory CD8 T cells expressed TCF1, which regulates the differentiation and longevity of CD8 memory ( Figure 5C ). Thus, we conclude that B cells influence the maintenance of CD8 T cell memory after vaccination in a manner independent of CD4 T cells. The data thus far indicates increased effector differentiation, decreased memory fate commitment, and accelerated loss of memory in the CD8 T cells from immunized MD4 hosts. Our next goal was to determine whether these factors ultimately result in decreased memory T cell function. Using an in vivo killing assay, we found that CD8 T cell memory function was indeed compromised on a per-cell basis in MD4 mice. Transferring differentially CTV-labeled targets bearing control or vaccine-specific Ag into WT or MD4 mice 3 months post-immunization revealed reduced killing of the Ag-pulsed targets in MD4 hosts ( Figure 6A ). This defect in the MD4 CD8 T cells remained even when accounting for the differences in memory T cell frequency between WT and MD4 hosts ( Figure 6B ), indicating reduced lytic function of memory CD8 T cells in the MD4 host on a per-cell basis. Interestingly, this was unaffected by CD4 depletion (Figure 6B ), once again identifying this as a B-cell-dependent phenomenon. These results described the functional capacity of resting memory T cells 3 months post vaccination. To assess the capacity of these cells for a secondary response, the mice were challenged with a lethal dose of LM-OVA at this same time point post-vaccination. Four days after LM-OVA challenge, the frequency and function of Ag-specific T cells and bacterial load were determined in the spleen and liver, respectively. Consistent with the decreased per-cell killing observed in the resting memory T cells ( Figure 6B ), 9/10 MD4 mice were unable to clear the infection, whereas WT mice had no detectable bacterial burden ( Figure 6C ). Unlike previous results in the context of infection-elicited immunity (Shen et al., 2003) , bacterial challenge yielded fewer secondary effector CD8 T cells post challenge in MD4 mice ( Figure 6D ), although MD4 mice exhibited a largely unimpaired secondary expansion compared to WT controls ( Figure 6E ). Secondary responses were unaffected in sIgM − and AID −/− mice ( Figure S4A ), demonstrating that capture and stabilization of Ag (León et al., 2014 ) by secreted natural IgM or Ag-specific IgG also does not play a role in the development of CD8 memory after subunit vaccination. Notably, μMT −/− mice exhibited poor CD8 T cell memory persistence after immunization, similar to MD4 mice, although their secondary expansion was significantly impaired, in stark contrast with previous data (Shen et al., 2003) . Those same factors in sIgM − and AID −/− mice mirrored that of WT mice ( Figures S4A-S4E ). Since antibodies do not naturally afford protection against LM (Matsuzaki et al., 1999; Shen et al., 2003) , the lack of naive, Ag-specific B cells in μMT −/− and MD4 mice is not a confounding variable when assessing bacterial load. In MD4 mice, bacterial titers negatively correlated with numbers of secondary effectors ( Figure 6F ). Notably, several mice had high bacterial titers despite similar numbers of secondary effectors to WT mice, again indicating a deficit in effector function on a per-cell basis. This could not be accounted for by reductions in cytokine or granzyme production, as, somewhat counterintuitively, T cells from MD4 mice were highly polyfunctional and produced more IFNγ, tumor necrosis factor alpha (TNF-α), and granzyme B on a per-cell basis than their WT counterparts in ex vivo restimulation assays ( Figures 6G-6N) . However, the ongoing bacterial load in these mice ( Figure 6C ) and the propensity of these CD8 T cells toward effector differentiation ( Figure 3 ) collectively suggest an elevated degree of terminal effector differentiation. The reduced capacity of the MD4 T cells for persistence into memory ( Figure 5 ) further indicates a reduced capacity for self-renewal, a critical factor for T-cell-mediated host protection (Wherry et al., 2003) . Substantial cytokine production was detected in control wells lacking cognate peptide ( Figure 6J ), evidence in further support of over-differentiation driven by continued antigenic stimulation in vivo. Taken together, these results indicate that B cells, not CD4 T cells, influence the magnitude of the primary CD8 T cell response to vaccination; its transition to, and persistence as a memory T cell pool; and its capacity to enact host-protective functions. The data thus far suggest that a restricted B cell repertoire is detrimental to the generation and maintenance of vaccine-elicited CD8 T cell responses. Immunofluorescence evaluation of spleen sections after immunization revealed that, as B cells expand early after vaccination, a high percentage of Ag-specific T cells are found within B cell zones on days 2-4 post-vaccination ( Figure S5 ). This localization of CD8 T cells into the B cell zone has been previously observed (Hu et al., 2011; Jung et al., 2010) and could conceivably facilitate direct CD8 T cell:B cell interactions at these early time points. Given previous conflicting reports on whether B cells can cross-present Ag (Castiglioni et al., 2005; Hon et al., 2005; Ke and Kapp, 1996; Keller et al., 2009; Robson et al., 2008; Zanetti et al., 2004) , we began by assessing their abilities in an in vitro experimental system. We compared the capacity of highly purified B cells from WT or MD4 spleens ( Figure S6A ) to cross-present Ag to proliferation-dye-labeled OT1 T cells. APCs were cultured with fast protein liquid chromatography (FPLC)-purified whole protein HEL-OVA conjugates or OVA. As positive controls, we included WT splenocytes enriched for DCs as well as SIINFEKL-peptide-pulsed DCs/B cells. Analysis of OT1 proliferation 2-3 days later demonstrated that, whereas DCs induced OT1 proliferation in all conditions, WT B cells only did so in the presence of peptide, and MD4 B cells did so only in the context of HEL-OVA conjugates or peptide ( Figure 7A ). These results confirm published data that B cells can indeed cross-present Ag to CD8 T cells in vitro and that they do so in a BCR-restricted manner. for B cell promotion of CD8 T cell responses to vaccines remained open questions. To test these, bone marrow chimeras were generated so that the B cell compartment was selectively limited in its ability to present the SIINFEKL peptide. Bone marrow from μMT −/− mice was mixed with bone marrow from either H-2K bm8 mice (that express a mutant form of H-2K b that cannot present the SIINFEKL peptide to CD8 T cells) or WT H-2K b mice, at a ratio of 9:1. This ratio ensures that although all B cells express either the mutant or WT H-2K b allele, ~90% of all other cells express WT H-2K b derived from the μMT −/− background. H-2K b 3 H-2K bm8 F1 mice were used as recipients to ensure acceptance of bone marrow grafts. Ten weeks after lethal irradiation and bone marrow reconstitution, mice were vaccinated with combined-adjuvant + OVA, and the T cell responses were measured at the peak of the response, 7 days later. The chimeric mice mounted similar Ag-specific CD8 T cell responses regardless of whether B cells were (K b ) or were not (K bm8 ) capable of presenting cognate SIINFEKL peptide ( Figures 7B and 7C) . The CD127 high memory phenotype was also equal between these groups ( Figure 7D) , consistent with the conclusion that Ag presentation by B cells is not responsible for the promotion of CD8 T cell responses after immunization. As noted earlier, CD8 T cell responses to adjuvanted subunit vaccination are uniquely dependent on IL-27 (Klarquist et al., 2018; Pennock et al., 2014) , which is not required for the primary CD8 T cell response to infections (Pennock et al., 2014; Wehrens et al., 2018) or, in some cases, even inhibits the response (Liu et al., 2014) . We have characterized the IL-27 production by DC subsets after vaccination and its unique capacity to predict the magnitude of protective CD8 T cell memory. Given the importance of IL-27 to the vaccine elicited response, it seemed possible that the influence of B cells on the CD8 T cells might be through their production of this cytokine. We used our recently described IL-27p28-GFP reporter mouse to examine B cell production of IL-27, specifically over the time frame in which we had observed Ag-specific CD8 T cells within the B cell zone early after vaccination ( Figure S5 ). Although the percentage of B cells producing IL-27p28 was considerably lower than that seen in XCR1+ cDCs ( Figures S6B and S6C) , a significant number of GFP+ B cells were observed 15 days after combined-adjuvant vaccination ( Figure 7E ). We again utilized the bone marrow from μMT −/− mice in mixed bone marrow chimeras, this time in combination with bone marrow derived from Ebi3 −/− , IL-27p28 −/− , and WT controls. We used the 9:1 ratio in favor of μMT −/− , ensuring that all B cells were the desired cytokine-deficient phenotype, whereas the majority of non-B cells were WT ( Figure S6D ). In contrast to the chimeras in which B cells were deficient in Ag presentation, selective B cell deficiency in either of the heterodimeric IL-27 subunits significantly compromised the primary vaccine-elicited CD8 T cell response ( Figure 7F ). The Ebi3 subunit can be shared with either IL-35 and the newly described IL-39, whereas p28, either alone or in concert with cytokine-like factor 1 (CLF), can exert signaling as IL-30. Thus, the fact that we observed similar results in mice with B cells deficient in either p28 or Ebi3 effectively identifies B cell production of IL-27 as the cytokine necessary for maximal vaccine-elicited CD8 responses. Intriguingly, however, this defect in CD8 T cell expansion was not associated with the characteristic skewing away from memory phenotype seen in the MD4 hosts. Indeed, significantly more of the Ag-specific CD8 T cells from the B-cell-selective IL-27-deficient bone marrow chimeras were CD127 high , although similar percentages of tetramer+ cells were seen 3 months post-vaccination ( Figures 7G and 7H) . Furthermore, bacterial challenge of chimeric mice resulted in similar bacterial burden and secondary expansion (Figures 7I and 7J) . Thus, although the production of IL-27 by B cells does not fully account for the effect of B cells on CD8 memory, their production of this cytokine promotes the primary CD8 T cell response to subunit vaccines. The data presented here establish that B cells promote the primary and memory responses of CD8 T cells to subunit vaccines. Our data suggest that perhaps the role of B cells may have been underappreciated in earlier studies of infection that demonstrated accelerated CD8 T cell contraction in B-cell-deficient mice (Asano and Ahmed, 1996; Bründler et al., 1996; Homann et al., 1998) . Given the numerous differences cited earlier between vaccine-and infection-elicited CD8 T cell responses, it is likely that the participation of B cells in CD8 T cell immunity also has functions unique to subunit vaccination. Our documented role for B cell IL-27 production is consistent with this prediction, as IL-27 clearly has a role in vaccine-elicited cellular immunity not shared with T cells responding to infectious challenge. Although we have yet to fully appreciate the reciprocal nature of this relationship, recent reports that describe the production of IL-21 by CD8 T cells in the context of influenza virus infection (Yang et al., 2016) and experimental autoimmune disease (Valentine et al., 2018) suggest that it needs reconsideration. In these studies, CD8 T cells were also found to colocalize with B cells and, in particular, with germinal center B cells, where they promoted class switching and the production of antibodies. With the data we present here, these studies collectively raise the question as to whether a B cell-CD8 T cell bidirectional collaboration has been similarly underappreciated. The function of B cells as APCs presenting Ag to CD4 T cells and promoting their activation, differentiation, and expansion is well documented (Constant, 1999; Molnarfi et al., 2013) . Although B cells are clearly capable of Ag cross-presentation to CD8 T cells in vitro, we found that this was not the mechanism by which they help CD8 T cell responses to vaccines in vivo. Similarly, we found that B cells do not indirectly impact the magnitude of the CD8 T cell response via CD4 T cells. Indeed, antibody depletion of CD4 T cells before vaccination actually increased the primary and memory CD8 responses, indicating a more direct action of B cells, independent of CD4 cells, in augmenting CD8 T cell responses. CD4 T cells seem instead to play an inhibitory role, possibly through the action of Tregs or by competing for interactions with APCs. We previously showed that memory but not primary CD8 cell numbers were reduced in CD4-deficient, major histocompatibility complex class II knockout (MHCII −/− ) mice (Edwards et al., 2013) . In the context of the data presented here, the poor memory survival in our MHCII −/− mouse studies is more likely to have been caused by B cell dysfunction rather than deriving from a lack of CD4 T cells. Indeed, MHCII −/− mice have no germinal centers (Madsen et al., 1999) , and even B-cell-specific MHCII deletion prevents activated B cell differentiation and proliferation (Giles et al., 2015) . This fits well with the data we provide here, where B cells were critical for maintaining CD8 memory after vaccination. The role of CD4 T cells in suppressing CD8 T cell responses to subunit vaccines remains an open question. Our observed defect in the CD8 T cell responses to vaccination in mice with a limited or absent B cell repertoire has numerous practical implications. Rituximab, an anti-CD20, B-cell-depleting therapy, has been used since 1997, when it was first approved by the Food and Drug Administration to treat non-Hodgkin's lymphoma. It has since been approved for additional diseases, and its off-label use has increased in recent years to more than half of patients receiving the drug (Delate et al., 2020) . As almost all of the uses of the various anti-CD20 monoclonal antibody treatments involve prolonged B cell depletion, our data from μMT hosts are directly relevant. Consistent with this, B cell depletion in a mouse model of immune thrombocytopenia (ITP) showed reduced CD8 T cell proliferation in response to TCR stimulation (Guo et al., 2016) . This is additionally applicable to disease settings in which limiting the function of CD8 T cells by depleting B cells may be beneficial. Rituximab use in patients with antineutrophil cytoplasmic antibody-associated vasculitis (AAV) alters the CD8 T cell memory compartment, reducing the frequency of effector memory cells re-expressing CD45RA (TEMRA) (Néel et al., 2019) . B cells isolated from these patients increased the cytokine output of CD8 T cells in ex vivo co-cultures, providing evidence for a direct, positive effect of B cells on CD8 T cells in this disease setting, where CD8 T cells are pathogenic. A contemporary implication of our data is that of next-generation vaccines deployed to combat emerging viruses, such as SARS-CoV-2. Necessary to consider are the negative consequences of B cell deficiency in the generation of the T cell responses, which might otherwise help compensate for impaired humoral immunity. The data presented here should also inform our understanding of common variable immunodeficiency (CVID), a heterogenous group of disorders characterized by hypogammaglobulinemia of unknown cause. Multiple CD8 T cell abnormalities have been documented in CVID (Wong and Huissoon, 2016) , including decreased numbers of naive CD8 T cells (Bateman et al., 2012; Giovannetti et al., 2007) , an increase in markers of exhaustion (Klocperk et al., 2020; Paquin-Proulx et al., 2013) , dysregulated cytokine production (Giovannetti et al., 2007; North et al., 1998; Thon et al., 1997) , and impaired proliferation after TCR engagement (Fischer et al., 1994; Jaffe et al., 1993) . The reasons for these CD8-related sequelae have not been described, but our data suggest that it is reasonable to postulate a causal relationship between the B cell and CD8 T cell dysfunctions. Consistent with what we observed for T cells in MD4 compared to WT mice 7 days after immunization and after bacteria challenge, CD8 T cells from patients with CVID (Klocperk et al., 2020) exhibit higher granzyme B than controls. This is similarly true of CD8 T cells after B cell depletion in an experimental model for ITP (Guo et al., 2016) . Further studies to uncover the B cell deficiencies in CVID may aid in better understanding the accompanying cellular defects and, in so doing, provide new avenues for therapeutic intervention for the frequent infections experienced by these patients. Last, it is worth noting that these studies have unveiled an unexpected role for B cell production of IL-27 in vaccine-elicited CD8 T cell immunity. Despite the fact that that Ebi3 was originally discovered in B cells, there are surprisingly few reports on IL-27 in B cells and its influence on adaptive immunity, humoral or cellular. Moreover, while canonically pleotropic, the influence of IL-27 on cellular immunity, outside of subunit vaccination, is overwhelmingly suppressive, so that any T-cell-centric elimination of IL-27 signaling typically results in elevated lymphoproliferation and its related pathology. In addition to the findings we report here, we and our colleagues recently documented the extent of B-cell-produced IL-27 in virus-infected and TLR-agonist-treated mice (Yan et al., 2020) . In these studies, IL-27 was highly expressed in mice treated with a range of TLR agonists often used as adjuvants. Further, in mice with a B-cell-specific deletion of IL-27, there was substantially reduced vaccinia-specific IgG as compared to WT virus challenge mice. The immune defects in vaccinia-challenged mice with IL-27-deficient B cells were substantial enough so as to significantly delay virus clearance. Thus, the importance of IL-27 in the normal functions of B cells responding to adjuvant and virus challenges is also underappreciated. Collectively, our results reveal functions for B cell production of IL-27 in vaccine-elicited CD8 T cell immunity. Future studies will be necessary to determine the specific B cells involved in producing IL-27 and when and exactly how this IL-27 shapes primary CD8 T cell responses, particularly in the context of DC-produced IL-27. It remains to be determined whether new avenues of therapeutic application for this cytokine are possible and in what clinical areas these data will find their most influential application. Finally, unraveling the additional mechanism(s) by which B cells contribute to CD8 T cell memory responses to vaccination remains the subject of ongoing investigation, which will hopefully yield further avenues for improving vaccine-elicited immunity. Lead contact-Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Ross Kedl (Ross.Kedl@cuanschutz.edu). Data and code availability-Microscopy data reported in this paper will be shared by the lead contact upon request. This paper does not report original code. Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request. Mice-All experiments involving mice were conducted following protocols approved by the University of Colorado Institutional Animal Care and Use Committee (IACUC) according to guidelines provided by the Association for Assessment and Accreditation of Laboratory Animal Care. WT (C57BL/6J), congenic CD45.1 B6 (B6.SJL-Ptprc a Pepc b / BoyJ), OVA-specific TCR-transgenic OT-1 (C57BL/6-Tg(TcraTcrb)1100Mjb/J), μMT −/− (B6.129S2-Ighm tm1Cgn /J) and MD4 (C57BL/6-Tg(IghelMD4)4Ccg/J) mice were originally obtained from the Jackson Laboratory and subsequently bred inhouse at the University of Colorado. MD4 mice were bred as hemizygous MD4 x C57BL/6J, and hemizygous MD4 mice were compared to WT littermate controls. Secreted-IgM-deficient (Boes et al., 1998) , AID −/− (Muramatsu et al., 2000) , and H-2K bm8 (B6(C)-H2-Kbm8/LrpJ) mice were provided by Drs. Claudia Jakubzick, Jing H. Wang, and Larry Pease, respectively. IL-27p28-GFP mice were generated by our lab as previously described and used as hemizygotes. IL-27p28 −/− mice, originally provided by Janssen Research & Development (Spring House, PA), and Ebi3 −/− mice (B6.129X1-Ebi3tm1Rsb/J), from Jackson laboratory, were bred in house the University of Pennsylvania. Experiments were performed in 6-10 week-old male and female mice. Immunizations and infections-Mice were immunized via tail-vein injection (I.V.), subcutaneous injection in the ear (S.C.), or intraperitoneal injection (I.P.) with the indicated adjuvant(s) with 150 μg (only 25 μg in the case of SC immunization) of whole chicken OVA (Sigma) or 100 μg of SARS-CoV-2 spike protein receptor binding domain (RBD) protein plus adjuvant. OVA (Sigma) and HSVgB (produced inhouse by baculovirus expression) proteins were detoxified by phase separation (Aida and Pabst, 1990) and were lipopolysaccharide-free as determined by a limulus assay. SARS-CoV-2 spike RBD protein (GenBank: MT380724.1) was generated by transfection of HEK293 T cells with a His-tagged vector (a gift from F. Krammer, Icahn School of Medicine at Mount Sinai, New York, NY) (Amanat et al., 2020) and subsequent purification over an ATKA nickel column (Cytiva) by the University of Colorado Cell Technologies Shared Resource. The following adjuvant doses were used for immunizations: 40 μg poly(I:C) (5 μg for S.C., Invivogen), 40 μg αCD40 (5 μg for S.C., clone FGK4.5, BioXCell), 40 μg Pam3Cys, or 100 μL Alu-Gel-S (1.3% aluminum hydroxide, SERVA Electrophoresis GmbH). Vaccines were made immediately prior to immunization with the exception of alum; OVA was emulsified in alum by gentle rocking at 4C overnight. Unless otherwise specified, mice were immunized I.V. with combined-adjuvant subunit vaccine (anti-CD40, poly(I:C), and OVA). Mice were infected with 2,000 CFU of OVA-expressing Listeria monocytogenes (LM-OVA) or challenged with 1-2 × 10 5 CFU of LM-OVA by I.V. injection. Four days after challenge, spleens, blood, and liver were harvested from euthanized mice. Livers were massed then processed in 5 mL of 0.02% NP40 using sterile plastic tissue homogenizers (Miltenyi). Bacterial counts were performed after incubating multiple dilutions of liver homogenates for 48 hours at 37C on BHI agar plates with 5 μg/ml erythromycin (Sigma). Bone marrow chimeras-Recipient BoyJ mice (CD45.1/1) were lethally irradiated with 2 × 600 rads 3 hours apart and reconstituted 18 hours later with T cell-depleted bone marrow from sex-matched μMT −/− (CD45.1/2) and either C57BL/6, H-2K bm8 , IL-27p28 −/− , or Ebi3 −/− (CD45.2/2) bone marrow at a 9:1 ratio. T cells were depleted using CD3 (clone 145-2C11), CD4 (GK1.5), CD8 (53.67) and CD90.2 (30-H12) APC-conjugated antibodies and anti-APC magnetic beads (BioLegend). At 10 weeks post-reconstitution, mice were immunized as described above. Flow cytometry-Spleen single cell suspensions or whole blood (collected by tail vein puncture into 5mM EDTA in HBSS), as indicated, were subjected to ACK red blood cell lysis and counted using a Vi-Cell automated cell counter (Beckman Coulter). Cells were then incubated with αCD16/32 (clone 2.4G2; hybridoma supernatant) and tetramer stained as previously described at 37C for 30 minutes, or in the case of OT-1 transfer, cells were stained for CD45.1 (clone A20; BioLegend) at room temperature (RT) for 10 minutes. Kb-SIINFEKL tetramers were provided by the NIH Tetramer Core. Following tetramer staining, surface antibodies were added for 10 min. at 37C, including CD3e (145-2C11), B220 (RA3-6B2), CD8a (53-6.7), CD44 (IM7; Tonbo), CD62L (MEL-14), CD122 (TM-β1), CD127 (A7R34; Tonbo), and KLRG1 (2F1/KLRG1) (all from BioLegend, unless otherwise noted). For transcription factor analysis, cells were surface stained, then fixed and permeabilized using Tonbo Foxp3 fixation/permeabilization buffers (Tonbo) and stained for Eomes (Dan11mag; eBioscience), IRF4 (3E4; eBioscience), and TCF1 (C63D9; Cell Signaling Technology). Intracellular cytokine staining was performed after a 5-hour stimulation with either 1 μg/ml peptide of SIINFEKL for OVA immunizations, or VVLSFELL for SARS-CoV-2 RBD immunizations (ChinaPeptides) and 3 μg/ml brefeldin A. After fixation and permeabilization, CD8 T cells were stained for intracellular IFNγ (XMG1.2), TNFα (MP6-XT22), and IL-2 (JES6-5H4); granzyme B (GB11; all from BioLegend) was stained directly ex vivo and analyzed on tetramer-positive cells. Flow cytometry data were acquired on a four-laser (405, 488, 561, 638 nm) CytoFLEX S flow cytometer (Beckman Coulter) and analysis was performed using FlowJo (version 10.7.1; BD Biosciences). OT1 adoptive transfers and CD4-depletion-CD8 T cells were magnetically purified (BioLegend) from OT1 mice to > 95% purity. Cells were counted and 200-500 (as indicated) OT1s were transferred to recipient mice by tail vein injection 1 day prior to immunization. CD4 T cell-depletion was achieved by IV injection of 50 μg αCD4 antibody (clone GK1.5, BioXCell) 2-5 days prior to immunization. Immunofluorescence-Whole spleens were frozen in OCT compound at −80C until cutting 7 μm sections with a cryostat followed by acetone fixation. Sections were dried, then rehydrated with PBS. Non-specific staining was blocked using PBS + 10% FBS and 2.5% anti-CD16/32 (2.4G2) hybridoma supernatant, and an Avidin/Biotin blocking system (BioLegend). Sections were then stained using CD45.1-PE (clone A20; BioLegend), CD169-AlexaFluor488 (3D6.112; BioLegend), B220-DyLight650 (RA3-6B2; made inhouse with hybridoma), F480-AlexaFluor488 (BM8; BioLegend), CD3e-biotin (145-2C11; BioLegend) followed by streptavidin-AlexaFluor750 (ThermoFisher), and/or IgM-Cy5 (JacksonImmunoResearch), followed by incubation with 300nM DAPI (ThermoFisher) and coverslipping with ProLong Gold anti-fade reagent (ThermoFisher). Images were captured by whole-slide scanning with a Vectra Polaris (Akoya Biosciences) and analyzed using inForm software (Akoya). In vitro cross-presentation assay-B cells were highly purified by staining with CD43-APC (clone S11) and CD11c-APC (clone N418; BioLegend) followed by anti-APC bead separation over magnetic LS columns (Miltenyi), where the supernatant consisted of ~99% B220+CD19+ B cells. DCs were enriched to ~30% by CD11c-APC staining and magnetic bead separation. CD8 T cells from OT1 mice were enriched to > 95% as described above and stained with 2 μM CellTrace Violet proliferation dye (ThermoFisher). HEL-OVA conjugates were created by glutaraldehyde crosslinking essentially as previously described (Allen et al., 2007) . Whole OVA and HEL (Sigma) were combined at a 1:1 molar ratio in KPO4 (pH 7.2) with 0.023% glutaraldehyde (Sigma). Crude protein conjugates were dialyzed overnight with 20kD dialysis cassettes (ThermoFisher) in PBS. Precipitates were removed by 0.2 μm filtration. Conjugated HEL-OVA was concentrated with 30kD MWCO spin concentrators (Sigma), then purified by FPLC (AKTA). B cells or DCs were incubated with 10 μg/ml FPLC-purified HEL-OVA, OVA, or SIINFEKL peptide and 10 μg/ml anti CD40 for 1 h at 37C, then washed 3 times with RPMI 1640 containing 10% FBS, 10 mM HEPES, 0.1 mM β-ME, 0.1 mM non-essential amino acids, 0.1 mM sodium pyruvate, 2 mM L-glutamine and penicillin-streptomycin (complete media). B cells or DCs were plated at 100,000 cells/well together with 50,000 dye-labeled OT1 cells/well and incubated for 48-72 hours in 200 μL complete media. In vivo killing assay-Splenocytes were peptide-pulsed for 1 h in complete media with 1 μg/ml of OVA 257-264 (target cells) or HSVgB 498-505 (control cells), washed, then labeled with 0.05 μM or 0.5 μM CellTrace Violet (ThermoFisher) dye, respectively. Recipient WT or MD4 mice were immunized with anti-CD40, poly(I:C), and OVA 1 day after adoptive transfer of 500 OT1 T cells. After 3 months, 8.5 million target splenocytes combined with 1.5 million control splenocytes were transferred into mice by tail vein injection. Mice were euthanized after 2 h and the ratio of target:control was used to determine the percent killing compared to the same ratio observed for non-immunized control mice. Percent killing was plotted against the total number of splenic Ag-specific CD8 T cells as determined by tetramer staining. GraphPad Prism (version 9.1.2, GraphPad) was used for all statistical analyses. Figure legends detail the number of experimental replicates and n-values. Unless noted, data shown are means ± SEM. Significance was defined by a two-tailed, unpaired Student's t tests unless otherwise specified, where *p < 0.05, **p < 0.01, and ***p < 0.001. Refer to Web version on PubMed Central for supplementary material. Data shown are means ± SEM; n ≥ 3 mice per group, representative of ≥ 2 experiments, except for (F) and (H), which are from one experiment each. Significance was defined by two-tailed, unpaired Student's t tests, where *p < 0.05, **p < 0.01, and ***p < 0.001. See also Figure S2 . Significance was defined by two-tailed, unpaired Student's t tests, where *p < 0.05, **p < 0.01, and ***p < 0.001. (B) The gMFI of tetramer+ cells for Eomes, CD122, and IRF4, where the x axis intersects the y axis at the average gMFI value for CD44− naive controls, and the percentage of tetramer+ cells that stained positive for TCF1. (C and D) Representative KLRG1 versus CD127 staining (C) and numbers of tetramer+ splenocytes in the respective quadrants (D), 7 days after immunization. Data shown are means ± SEM; n : mice per group, representative of 3 experiments. Significance was defined by two-tailed, unpaired Student's t tests, where *p < 0.05, **p < 0.01, and ***p < 0.001. Data shown are means ± SEM; n ≥ 3 mice per group, representative of ≥ 2 experiments for (A) and one experiment each for (B) and (C). Significance was defined by 2-way ANOVA interaction effects (A) or by two-tailed, unpaired Student's t tests (B and C), where *p < 0.05, **p < 0.01, and ***p < 0.001. See also Figure S3 . Data shown are means ± SEM; n ≥ 3 mice per group, representative of 2 experiments. Significance was defined by two-tailed, unpaired Student's t tests, where *p < 0.05, **p < 0.01, and ***p < 0.001. 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production by CD8 T cells during infection MHC class II-dependent B cell APC function is required for induction of CNS autoimmunity independent of myelin-specific antibodies Class switch recombination and hypermutation require activation-induced cytidine deaminase (AID), a potential RNA editing enzyme Dampening of CD8+ T Cell Response by B Cell Depletion Therapy in Antineutrophil Cytoplasmic Antibody-Associated Vasculitis Splenic T zone development is B cell dependent Primary defect in CD8+ lymphocytes in the antibody deficiency disease (common variable immunodeficiency): abnormalities in intracellular production of interferon-gamma (IFN-gamma) in CD28+ ('cytotoxic') and CD28-('suppressor') CD8+ subsets IL-15-independent proliferative renewal of memory CD8+ T cells in latent gammaherpesvirus infection IVIg immune reconstitution treatment alleviates the state of persistent immune activation and suppressed CD4 T cell counts in CVID IL-27 is required for shaping the magnitude, affinity distribution, and memory of T cells responding to subunit immunization Simultaneous presentation and cross-presentation of immune-stimulating complex-associated cognate antigen by antigen-specific B cells Functional and genomic profiling of effector CD8 T cell subsets with distinct memory fates B cell-derived IL-15 enhances CD8 T cell cytotoxicity and is increased in multiple sclerosis patients A specific role for B cells in the generation of CD8 T cell memory by recombinant Listeria monocytogenes CD8α+ dendritic cell trans presentation of IL-15 to naive CD8+ T cells produces antigen-inexperienced T cells in the periphery with memory phenotype and function Defective integration of activating signals derived from the T cell receptor (TCR) and costimulatory molecules in both CD4+ and CD8+ T lymphocytes of common variable immunodeficiency (CVID) patients CD8 Follicular T Cells Promote B Cell Antibody Class Switch in Autoimmune Disease IL-27 regulates the number, function and cytotoxic program of antiviral CD4 T cells and promotes cytomegalovirus persistence Homeostatic proliferation but not the generation of virus specific memory CD8 T cells is impaired in the absence of IL-15 or IL-15Ralpha Lineage relationship and protective immunity of memory CD8 T cell subsets Requirement of B cells for generating CD4+ T cell memory Interleukin-2 signals during priming are required for secondary expansion of CD8+ memory T cells T-cell abnormalities in common variable immunodeficiency: the hidden defect BATF3-dependent induction of IL-27 in B cells bridges the innate and adaptive stages of the antibody response IL-6 promotes the differentiation of a subset of naive CD8 + T cells into IL-21-producing B helper CD8 + T cells B lymphocytes as antigen presenting cell-based genetic vaccines T cell responses are required for protection from clinical disease and for virus clearance in severe acute respiratory syndrome coronavirus-infected mice Data shown in (B)-(D) and (F)-(J) are means ± SEM from 2 combined experiments. Data shown in (E) are means ± SEM; n ≥ 3 mice per group, from 3 experiments combined. Significance was defined by two-tailed We would like to thank Divij Mathew, Raul Torres, Roberta Pelanda, and John Cambier for helpful discussions. We thank Jing Wang, Claudia Jakubzick, and Larry Pease for providing mouse strains necessary for these studies. We thank Cody Rester and Trevor Blain for technical assistance. We also thank Tem Morrison, Lori Sherman, and the CU Cancer Center Cell Technologies Shared Resource for producing SARS-CoV-2 spike-derived RBD protein. This work was supported by National Institute of Allergy and Infectious Diseases training grant AI074491 (to J.K.) and grants AI066121, AI148919, and AI126899 (to R.M.K.).