Abstract
Bcl-3 is an atypical member of the IκB family that acts in the nucleus to modulate transcription of many NF-κB targets in a highly context-dependent manner. Accordingly, complete Bcl-3-/- mice have diverse defects in both innate and adaptive immune responses; however, direct effects of Bcl-3 action in individual immune cell types have not been clearly defined. Here, we document a cell-autonomous role for Bcl-3 in CD8+ T cell differentiation during the response to lymphocytic choriomeningitis virus infection. Single-cell RNA-seq and flow cytometric analysis of virus-specific Bcl3-/- CD8+ T cells revealed that differentiation was skewed towards terminal effector cells at the expense of memory precursor effector cells (MPECs). Accordingly, Bcl3-/- CD8+ T cells exhibited reduced memory cell formation and a defective recall response. Conversely, Bcl-3-overexpression in transgenic CD8+ T cells enhanced MPEC formation but reduced effector cell differentiation. Together, our results establish Bcl-3 as an autonomous determinant of memory/terminal effector cell balance during CD8+ T cell differentiation in response to acute viral infection. Our results provide proof-of-principle for targeting Bcl-3 pharmacologically to optimize adaptive immune responses to infectious agents, cancer cells, vaccines and other stimuli that induce CD8+ T cell differentiation.
Author summary
Effective immunity to previously encountered pathogens or vaccines depends on efficient formation of memory T and B cells. A major cornerstone is the generation of memory CD8+ T cells, which kill cells infected with intracellular pathogens, including viruses. In addition, memory CD8+ T cells are critical for adoptive immunotherapy to eliminate targeted tumor cells. Hence, it is essential to have a detailed understanding of pathways and molecular factors that regulate T cell differentiation/memory formation during the initial immune effector response. Here we show a critical cell-autonomous role for Bcl-3, an atypical member of the IκB family, in the regulation of CD8+ T cell differentiation/memory formation during acute viral infection with lymphocytic choriomeningitis virus. We found that Bcl-3 dampens the terminal differentiation of CD8+ T cells, which normally results in death at the end of the primary effector response, and instead, promotes the formation of memory precursor cells early on. This led to a robust memory response and much improved viral clearance upon re-challenge. Our results provide new insight into the molecular regulation of CD8+ T cell effector response and memory cell generation, establishing Bcl-3 and its pathways as a target to optimize CD8+ T cell effector responses to various immunogens including infectious agents, cancer cells, and vaccines.
Introduction
Memory CD8+ T cell generation is a hallmark of adaptive immune responses. These memory CD8+ T cells possess a blueprint of past infection that directs rapid and effective responses to repeat infection with the same pathogen. Interactions of naïve CD8+ T cells with antigen presenting cells in an infectious environment leads to very early asymmetric divisions and massive expansions generating a heterogeneous pool of effector CD8+ T cells [1,2]. Short lived effector cells (SLECs) identified as KLRG1hi IL-7Rαlo cells form the major fraction of CD8+ T cell effector responses. Upon further maturation, SLECs show profound cytotoxic activity during the primary response, but then undergo massive apoptosis during the contraction phase as the infection resolves. However, one minor subset of activated CD8+ T cells known as memory precursor effector cells (MPECs; KLRG1lo IL-7Rαhi) largely survive the contraction and form long-lived memory CD8+ T cells [3]. Extensive research in the field has led to the identification of various cellular interactions, cytokines and transcription factors involved in generating heterogeneous populations of CD8+ T cells during differentiation. In particular, inflammatory antimicrobial cytokines such as IL-12 [4], type I interferons [5] and IFN-γ [6] are major drivers of CD8+ T cell terminal differentiation. Together, the strength and duration of inflammatory cytokine and antigen stimulation induce a graded expression of a set of transcription factors (TFs) including T-bet [3], Id2 [7], Blimp1 [8] and Zeb2 [9] that promote terminal differentiation, in part by supporting effector gene expression. However, at the same time and also dependent on antigen strength and duration of stimulation, TFs like Eomes [10], Bcl6 [11], Id3 [12], Foxo1 [13] and Tcf1 [14,15] counterbalance TFs that support effector differentiation to maintain naïve-like characteristics in activated CD8+ T cells. Even in the case of persistent infection, a Tcf1hi subset of effector CD8+ T cells has been shown to have naïve or progenitor-like characteristics. These cells maintain their stemness and continuously feed the effector pool to fight against persistent pathogens making them critical for chronic infections and anti-tumor responses [16,17]. However, how this balance of memory and effector cells is determined has not been fully delineated.
Bcl-3 (B cell lymphoma factor 3) is an atypical member of the IκB family. Unlike classical IκBs, Bcl-3 is not degraded in response to activation signals, but instead is often induced at the mRNA and protein levels, whereupon it acts in the nucleus to modulate transcription of NF-κB target genes by associating with p50/NF-κB1 and p52/NF-κB2 homodimers on DNA [18–21]. The p50 and p52 homodimer complexes do not trans-activate by themselves, but association with Bcl-3 may promote or inhibit transcription of targets in a highly gene- and context-dependent manner, possibly influenced by post-translational modifications [22,23]. Bcl-3 has profound immunoregulatory effects, including modulation of central tolerance, secondary lymphoid organ development [24] and B cell development [25]. Thus, complete Bcl3-/- mice exhibit notably impaired innate and adaptive immune responses, including impaired germinal center formation [25] and are highly susceptible to Klebsiella pneumoniae [26] and Toxoplasma gondii infections [27].
Regarding autonomous roles in T cells, we have shown that Bcl-3 regulates plasticity and pathogenicity of autoimmune CD4+ T cells in the T cell transfer-induced model of colitis as well as in experimental autoimmune encephalomyelitis (EAE), where Bcl-3 deficient CD4+ T cells attain a less pathogenic IL-17-producing Th17-like phenotype, instead of the pathogenic, IFN-γ producing Th1-like (ex-Th17) phenotype observed in Bcl-3 sufficient mice [28]. Also, adjuvant-induced survival of both CD4+ and CD8+ T cells was found to correlate with Bcl-3 expression in an in vivo model of superantigen stimulation [29]. Subsequently, however Bcl-3 was shown not to be necessary for T cell survival in this context. Instead, Bcl-3 was reported to aid the production of IFN-γ by T cells in this superantigen model as determined by T cell re-stimulation ex vivo [30]. On the other hand, co-stimulation of Bcl-3-sufficient but not Bcl-3-insufficient T cells with LPS or IL-12 did aid in the survival of T cells in vitro, including CD8+ T cells [31,32]. Furthermore, overexpression of a Bcl-3 transgene in T cells in vivo or in vitro promoted survival and slowed early T cell activation/proliferation in the superantigen stimulation model [33]. Despite these advances in knowledge, the role played by Bcl-3 during one of the most important biologic functions of T cells, control of viral infection, has not been previously investigated. To begin to address this gap, here, we studied the role of Bcl-3 in CD8+ T cell differentiation during acute lymphocytic choriomeningitis virus (LCMV) infection. An in-depth investigation of the CD8+ T cell primary response by single-cell RNA-sequencing (scRNA-seq) revealed that Bcl-3 deficiency affected the CD8+ T cells differentiation program, favoring terminal effector cells at the expense of MPECs. Accordingly, Bcl3-/- CD8+ T cells exhibited reduced memory T cell formation as well as defective recall responses upon LCMV re-challenge. Furthermore, the primary response of Bcl-3-overexpressing transgenic mice suggested that Bcl-3 expression in CD8+ T cells is critical for MPEC formation. The presence of the transgene first dampened CD8+ T cell activation/proliferation and this in turn appeared to limit terminal differentiation of these cells and instead supported generation of MPECs. Our study indicates that Bcl-3 is a critical factor in CD8+ T cell differentiation, promoting the maintenance of their naïve/progenitor-like characteristics and thus allowing them to survive better and to more efficiently form MPECs and eventually memory cells.
Results
The quantitative response of CD8+ T cells to acute LCMV infection is independent of Bcl-3 in these cells
Our prior work demonstrated critical cell-autonomous contributions of Bcl-3 in maintaining pathogenic Th1-like, IFN-γ producing CD4+ T cells in the context of EAE and colitis [28]. Other reports–albeit with partly divergent conclusions–additionally suggested roles for Bcl-3 in either survival of CD8+ T cells in vitro or their IFN-γ production ex vivo [29–33]. These findings prompted us to systematically investigate the function of Bcl-3 in CD8+ T cells in vivo. The LCMV acute infection model is a well-studied in vivo model for acute responses and differentiation of CD8+ T cells. We first confirmed that Bcl3 mRNA was transiently induced in CD8+ T cells upon CD3 plus CD28 co-stimulation; induction was apparent by 3 hours and peaked at 6 hours, eventually falling to pre-stimulation levels by 24 h (S1A Fig). We also detected Bcl3 mRNA induction in CD8+ T cells from the spleen of LCMV Armstrong-infected mice (S1B Fig).
Infection with the LCMV Armstrong strain is known to result in a robust T cell response with clearance of the virus by day 8–10 post infection (p.i.) [34]. To specifically check the cell-autonomous role of Bcl-3 in CD8+ T cells in the anti-LCMV response, we generated mixed bone marrow chimeric mice by transferring congenic wild-type (WT, CD45.1) and Bcl3-/- (Bcl-3 knockout, CD45.2) bone marrow cells into sub-lethally irradiated Rag1-/- mice. After allowing at least 6 weeks for reconstitution, chimeric mice were infected with LCMV Armstrong and CD8+ T cell responses were compared 8 days p.i. (Fig 1A–1D). Spleens and mesenteric lymph nodes (mLNs) from infected chimeric mice showed no difference between WT and Bcl-3 KO CD8+ T cells in their proportion of LCMV-specific cells (H-2Db-GP33+ CD8+) (Fig 1A and 1B). Moreover, intracellular cytokine staining of splenocytes stimulated ex vivo with GP33 peptides revealed no difference between WT and Bcl3-/- donor cells in the percentages of both IFN-γ single positive and IFN-γ + TNF-α double positive LCMV-specific CD8+ T cells (Fig 1C and 1D).
Although reconstitution of total WT and KO cells in bone marrow chimeric mice was close to 50:50 as confirmed in blood after 6 weeks of transfer, the proportion of Bcl3-deficient CD8+ T cells was reduced compared to WT cells, resulting in 1.4-fold higher CD4/CD8 ratios for KO cells (S1C Fig). This suggested a possible competitive advantage of WT CD8+ T cells over Bcl-3-deficient cells or of Bcl-3-deficient CD4+ T cells over WT cells (or both) and thus prevented a comparison of absolute numbers of antigen-specific cells from chimeric mice in response to LCMV infection. To address this, we also generated CD8+ T cell-specific conditional KO mice by crossing Bcl3fl/fl mice with CD8α-Cre mice. In CD8α-Cre mice, the E8I enhancer region drives Cre expression specifically in peripheral mature CD8+ T cells [35,36], which led to robust deletion of Bcl-3 in these cells (S1D Fig). Consistent with the post-thymic expression of Cre, there was no evidence of impaired CD8+ T cell development and these conditional knockout mice had the same number of naïve (CD62Lhi CD44lo) spleen CD8+ T cells as control mice (S1E Fig). Comparison of absolute numbers of GP33 epitope-specific CD8+ T cells on day 8 p.i. in these mice also ruled out any obvious defect in generating anti-LCMV-specific CD8+ T cells due to loss of Bcl-3 (Fig 1E).
Bcl-3 deficiency diverts the CD8+ T cell differentiation program to terminal effectors at the expense of MPECs
While Bcl-3 deficiency did not lead to any obvious difference in terms of generating LCMV epitope-specific CD8+ T cells after acute infection, the flow cytometric analysis did not rule out possible differences in subsets generated during CD8+ T cell differentiation. We therefore investigated cell-autonomous effects of Bcl-3 on CD8+ T cell differentiation using unbiased transcriptomic analysis to define its impact on subsets. To do so, mixed bone marrow chimeras generated with WT and Bcl3-/- bone marrow were infected with LCMV Armstrong and virus-specific CD8+ T cells (H-2Db-GP33+ CD8+) were analyzed 8 days p.i. by single-cell RNA-sequencing (scRNA-seq) (S2A Fig). Splenic WT and Bcl3-/- GP33 antigen-specific CD8+ T cells from the same chimeric animal were sorted based on CD45 allelic markers and captured using a droplet-based 10x Genomics Chromium platform [37]. After quality controls, filtering and dimensional reduction of the data, both WT and Bcl3-/- cells were merged together. Dimensional reduction of the data and its visualization using uniform manifold approximation and projection (UMAP) showed that both populations largely overlapped, suggesting a limited impact of Bcl-3 deletion on the overall transcriptional landscape of virus-specific CD8+ T cells (Fig 2A).
To gain further insights, we performed unsupervised clustering of the combined cell population, resulting in 7 clusters including cells of both genotypes. We then analyzed gene expression across clusters of WT or Bcl3-/- cells (Fig 2B). In the WT population, we detected 2 distinct groups of cells. First, a large group of effector cells (Clusters A-F, 93%) expressed high levels of canonical effector genes including Gzmb, Ifng and Prf1 (encoding granzyme B, IFN-γ and perforin, respectively). In addition to the large cluster A (52%), we identified smaller effector clusters, including cluster B (13%), which appears to be closely related to A, as well as a cluster of terminally differentiated effector cells (Cluster C, 12%) expressing Zeb2 and Cx3cr1, two clusters of cycling cells expressing cell-cycle associated genes (Clusters D and E, 8 and 5%, respectively) and a cluster of interferon-stimulated cells expressing Irf7 and other interferon-sensitive genes (Cluster F, 3%). Additionally, unsupervised clustering distinguished a small cluster of memory precursor effector cells (MPECs; Cluster G, 6%) that does not express effector genes; instead, this cluster contains cells expressing high levels of memory associated genes like Il7r, Tcf7 and Ccr7 (encoding IL-7R, TCF-1 and CCR7, respectively). Interestingly, in the Bcl3-/- population, although the pattern of expression and cluster types appeared largely similar to those in WT cells, we observed a reduction in the MPEC fraction (Cluster G—6% in WT vs 3% in Bcl3-/-) and an increase in the proportion of terminally differentiated effectors (Cluster C—12% in WT vs 22% in Bcl3-/-). These results were confirmed in a second biologically independent replicate (S2B and S2C Fig).
To validate the scRNA-seq findings, we analyzed markers of effector and memory precursor subsets in mice after acute infection by flow cytometry. Consistent with the scRNA-seq pattern, Bcl-3-deficient CD8+ T cells showed reduced proportions compared to WT of the MPEC subset (KLRG1lo IL-7Rαhi [CD127]) among GP33+ CD8+ T cells in both spleen and mLN from mixed bone marrow chimeras (Fig 2C and 2D). Analysis of spleen from Bcl3fl/fl CD8α Cre+ mice 8 d p.i. also showed a reduced proportion (S3A and S3B Fig) as well as reduced absolute numbers of GP33+-specific KLRG1lo IL-7Rαhi CD8+ MPECs compared to controls (Fig 2E). Analysis of SLEC and MPEC subsets from WT mice suggested low level Bcl3 expression in these subsets (S3C Fig). However, surface staining with these markers did not show upregulation of SLECs (KLRG1hi IL-7Rαlo subset) in either the chimeric mice or the CD8+ T cell conditional KO mice (Fig 2C–2E). This likely reflects the fact that the KLRG1hi IL-7Rαlo subset includes all effectors and not just the smaller population of terminal effector cells, which were the ones notably upregulated in Bcl3-/- mice by scRNA-seq. However, we did observe higher PD1 expression by antigen-specific Bcl-3-deficient CD8+ T cells in chimeric mice (Fig 2F). Similarly, higher expression of PD1 was also noted on antigen-specific CD8+ T cells from conditional CD8α Cre+ KO mice (Fig 2G). Other effector markers like perforin, granzyme B and T-bet were comparable between control and conditional CD8α Cre+ KO mice (S3D–S3F Fig). However, consistent with the role of Eomes in memory CD8+ T cell development [10], GP33-specific CD8+ T cells from Bcl3fl/fl CD8α Cre+ showed less expression of Eomes compared their control counterparts (S3G Fig). Furthermore, the conditional knockout mice contained higher serum IFN-γ levels compared to WT controls 5 d p.i. (S3H Fig). Higher PD1 expression and enhanced cytokine production suggest that Bcl-3-deficient CD8+ T cells were more differentiated compared to WT cells at this stage. Altogether these findings document a cell-autonomous regulatory role of Bcl-3 in formation of MPECs, most likely by restricting CD8+ T cell differentiation towards terminal effectors. To examine if this was caused by defective proliferation or survival of Bcl-3 deficient CD8+ T cells, we analyzed the proliferation and survival of these cells in vitro and in vivo. Activation of purified CD8+ T cells from Bcl3-/- and control mice with CD3 and CD28 resulted in comparable proliferation after 3 days of culture, as indicated by dilution of the proliferation dye cell trace violet (S4A and S4B Fig) and by cell counts (S4C Fig). In these, experiments, CD8+ T cells from both genotypes also showed comparable apoptosis as checked by annexin V staining (S4D Fig). In vivo analyses found no detectable difference between Bcl-3 null and control CD8+ T cells for proliferation and apoptotic cell death upon LCMV infection (S4E–S4H Fig).
Efficient formation of memory CD8+ T cells is Bcl-3 dependent
MPECs have been shown to survive the contraction phase much better than SLECs and to form long lasting CD8+ T cell memory. Thus, any defect in MPEC formation during the acute effector response might lead to altered memory CD8+ T cell formation. Hence, we checked the status of LCMV epitope-specific CD8+ T cells at least 8 weeks after acute infection of mixed bone marrow chimeric mice, as well as of Bcl3fl/fl CD8α Cre+ mice (Fig 3). MHC-I tetramer staining after 8 weeks p.i. of chimeric mice with LCMV Armstrong showed reduced proportions of GP33 epitope-specific CD8+ T cells in the absence of Bcl-3 (Fig 3A). Intracellular cytokine staining for IFN-γ- and IFN-γ + TNF-α-producing CD8+ T cells upon GP33 peptide stimulation also indicated defective memory formation by Bcl-3-deficient CD8+ T cells against LCMV (Fig 3B and 3C). In addition, analysis of CD8+ T cells in conditional CD8α-Cre knock-out mice after 8 weeks p.i. with LCMV revealed reduced absolute numbers of GP33+ CD8+ T cells compared to controls (Fig 3D). The conditional knock-out mice also showed reduced numbers of IFN-γ- and IFN-γ + TNF-α-secreting cells upon ex vivo stimulation of splenocytes with GP33 peptides (Fig 3E and 3F). However, we did not observe any defect in commitment towards central memory cell (TCM) formation by GP33-specific CD8+ T cells in the absence of Bcl-3, as observed by comparable proportions of CD62Lhi IL-7Rαhi TCM cells among WT and Bcl-3 knock-out cells in mixed bone marrow chimeric mice (S5 Fig). TCM cells represent a long-lasting small fraction of memory cells that preferentially recirculates from blood through secondary lymphoid organs. These data establish Bcl-3 as a crucial transcription factor for formation of overall CD8+ T cell memory by promoting the formation of MPECs during the effector response.
Bcl-3 deficient CD8+ T cells show defective recall responses
Defects in memory T cell formation by Bcl-3-deficient CD8+ T cells suggested a possible defect in recall responses. To investigate this, mixed bone marrow chimeric mice infected with LCMV Armstrong were re-challenged at least 8 weeks later with LCMV clone 13 to assess the overall CD8+ T cell memory response. Bcl-3-deficient CD8+ T cells showed reduced proportions of LCMV GP33 epitope-specific cells in spleen compared to their WT counterparts at day 5 post re-challenge (Fig 4A). This defective CD8+ T cell response in the absence of Bcl-3 was confirmed by reduced proportions of IFN-γ single positive (Fig 4B) and IFN-γ + TNF-α double positive cells (Fig 4C) in Bcl-3-deficient compared to Bcl-3-sufficient CD8+ T cells upon ex vivo stimulation with GP33 peptide.
Recall experiments with mice bearing conditional CD8+ T cell-specific Bcl-3 knockouts confirmed the above findings, as we observed reduced absolute numbers of GP33+ CD8+ T cells directed against LCMV clone 13 compared to controls in this re-challenge scenario as well (Fig 4D). Furthermore, ex vivo stimulation with GP33 peptide resulted in reduced numbers of IFN-γ single positive (Fig 4E) as well as IFN-γ + TNF-α double positive CD8+ T cells (Fig 4F). To further strengthen our observation, we measured the level of LCMV-specific transcripts in mouse serum 4 days after re-challenge with clone 13. The Bcl-3-deficient CD8+ T cell-bearing mice showed compromised virus clearance compared to the control mice (Fig 4G). These results strongly suggest that Bcl-3 is an important transcriptional regulator to maintain proper recall responses of CD8+ T cells against LCMV infection.
Bcl-3 overexpression restricts terminal differentiation and supports MPEC formation
The above data suggested that Bcl-3 deficiency diverted CD8+ T cell differentiation towards terminal effectors leading to decreased MPECs and thus poor memory formation and recall responses. Hence, we also checked the effect of Bcl-3 over-expression in CD8+ T cells differentiation by using Bcl-3 transgenic mice. Bcl-3 transgenic (Bcl3 Tg) mice provide constitutive Bcl-3 expression in targeted cells where Cre mediated excision removes a stop codon upstream of the transgene to drive its expression [38]. We crossed Bcl3 Tg mice with CD4-Cre mice to facilitate Bcl-3 expression in all T cells. Acute LCMV infection of transgenic mice showed reduced proportions and absolute numbers of GP33+ CD8+ T cells in spleen of CD4-Cre+ mice 8 d p.i. (Fig 5A). These findings were further supported by reduced proportions and absolute numbers of IFN-γ- or INF-γ + TNF-α-secreting cells upon ex vivo stimulation of splenocytes with GP33 peptide (Fig 5B and 5C). The data suggest that Bcl-3 had an inhibitory effect on acute CD8+ T cell activation and proliferation in response to LCMV infection. A prior report also implicated Bcl-3 overexpression in slowing T cell proliferation in response to superantigen exposure [33]. In our in vivo LCMV infection study, further analysis of GP33+ CD8+ T cells for MPEC and SLEC subsets however revealed reduced proportions of SLECs and higher proportions of MPECs in the presence of continuous Bcl-3 expression compared to controls (Fig 5D and 5E). In addition, the proportions of IFN-γ producers among GP33+ CD8+ T cells (comparing their absolute numbers) (Fig 5F) and TNF-α+ cells among IFN-γ producers were also reduced in these Bcl-3 transgenic mice (Fig 5G). To confirm these findings, we additionally generated bone marrow chimeras in sub-lethally irradiated Rag1-/- mice using CD45.2+ mice bearing the Bcl-3 transgene without Cre (WT-like, not expressing transgenic Bcl-3) and CD45.1+ WT mice or from CD45.2+ mice bearing the Bcl-3 transgene with CD4-Cre (expressing Bcl-3 in T cells) and CD45.1+ WT mice. While the ratios of Bcl-3 transgene non-expressing/WT relative to Bcl-3 transgene-expressing/WT CD8+ T cells were similar in uninfected chimeric mice, LCMV infection led to a reduction in the ratios of transgenic Bcl-3-expressing CD8+ T cells relative to non-expressors at day 8 p.i. (S6A Fig). Among these CD8+ T cells, those expressing the transgene exhibited notably lower ratios of LCMV antigen-specific cells (GP33+ cells among CD8+ T cells) in particular (S6B Fig), but at the same time, higher ratios of MPECs and lower ratios of SLECs among GP33+ CD8+ T cells (S6C Fig). Furthermore, ex vivo stimulation with GP33 yielded lower ratios of IFN-γ- and IFN-γ + TNF-α-producers in Bcl-3 transgene expressing CD8+ T cells over controls (S6D Fig). Together, these data suggest that Bcl-3 is critical throughout T cell differentiation, wherein it first inhibits activation and proliferation of CD8+ T cells and possibly as a consequence, limits their terminal differentiation to support instead the formation of MPECs.
Discussion
The acute effector response of CD8+ T cells is key for efficient pathogen clearance, but it also shapes the quantity and quality of memory CD8+ T cells, which are required for efficient immunity upon re-encounter with the pathogen at a later time. Thus, it is critical to understand how the complex heterogeneity of the acute CD8+ T cell response is regulated at the molecular level in order to find the best strategies for efficient vaccinations and anti-tumor activities, both of which rely on robust memory. Limited previous studies have suggested a role for the oncogenic NF-κB regulator Bcl-3 in CD8+ T cell differentiation, potentially aiding their survival in vitro upon activation [31] or boosting super-antigen-induced IFN-γ production upon secondary stimulation ex vivo [30]. However, the role of Bcl-3 in CD8+ T cell differentiation and function during a pathogenic challenge in vivo has not been investigated, a process which begins with a complex, heterogeneous acute primary response, virus clearance, and ends with the formation of memory cells.
Here we explored the role of Bcl-3 in CD8+ T cell differentiation and function with the LCMV infection model, a well-established model ideally suited for this purpose. We show that Bcl-3, acting cell-autonomously, is critical in the normal formation of memory precursor effector CD8+ T cells (MPECs). We found at first glance that the magnitude of the acute primary response was not Bcl-3-dependent, since the overall proportion and absolute numbers of anti-LCMV-specific CD8+ T cells that were generated were unaffected by the absence of Bcl-3 in these cells. However, deeper analysis involving single-cell RNA-seq as well as flow cytometry of differentiating CD8+ T cell subpopulations revealed that the course of differentiation was fundamentally skewed. Lack of Bcl-3 pushed naïve CD8+ T cells towards the terminal effector stage, while impeding their ability to become memory precursors. Terminal effector cells are destined to die during the contraction phase after the virus has been largely cleared, while memory precursors form longer lasting memory cells. This explains why we found notably fewer Bcl-3-deficient than Bcl-3-sufficient anti-LCMV CD8+ T cells after the contraction phase, when terminal effectors have been mostly eliminated, while memory cells have persisted. The physiologic relevance of these findings was revealed in recall experiments, which showed that loss of Bcl-3 in CD8+ T cells weaken their response to re-infection with LCMV and impaired clearance of the virus.
It is noteworthy that two distinct Bcl-3 knockout approaches employed here led to the same results. Mixed bone marrow chimeras containing both WT and KO CD8+ T cells in the same mouse allow identification of purely CD8+ T cell-autonomous effects of Bcl-3, independent of the surrounding milieu, whereas conditional knockouts of Bcl-3 specific to mature CD8+ T cells allow identification of cell-intrinsic effects, i.e. loss of Bcl-3 in these cells only (not in any other cells); in the latter case, however, extrinsic feedback communication with other cells may occur to also affect the results. For example, CD8+ T cells lacking Bcl-3 might change production of an extrinsically acting factor in a pathway involving other cells that then feeds back to the deficient CD8+ T cells, thereby possibly altering their differentiation or function indirectly. In chimeric mice both WT and KO CD8+ T cells are present and experience the identical milieu, so such indirect extrinsic effects are not detected. Since use of conditional CD8+ T cell-specific knockouts yielded the same results as chimeric mice, our data suggest that indirect extrinsic effects did not occur or were negligible during both the primary and recall responses. It is possible of course that in different contexts indirect extrinsic effects might also contribute in addition to the cell-autonomous effects, including e.g. long-term chronic infections.
Bcl-3 is likely to modulate gene expression during a delayed-early phase in CD8+ T cell activation/differentiation to alter the transcriptional profile in a way that suppresses terminal differentiation pathways. It may do so by partially modulating the expression of many of the NF-kB-regulated genes, rather than by changing expression of only a few select target genes. Bcl-3 RNA was induced early, though not immediately, upon activation in vitro, peaking by around 6 h. The Bcl-3 protein might of course have a more extended lifespan in the nucleus and could also be subject to functionally relevant post-translational modifications during that time. In any case, by day 8 p.i., the various subpopulations detected in KO and WT CD8+ T cells appeared to have fairly similar transcriptional profiles. This suggests that once a CD8+ T cell had chosen its path earlier during the infection, under the influence of Bcl-3, thereafter Bcl-3 no longer controlled gene expression, at least not the genes that could be detected in our scRNA-seq analysis. It will be of great interest to investigate gene expression during the first 24–48 hours after infection. The current acute natural infection model however does not generate enough cells to allow a full analysis at this early time. This issue might be approached in future experiments with transfer of sufficient numbers of antigen-specific T cells, however, such an approach creates an artificial situation when compared to the physiologic infection model employed here. Cell transfer experiments might also be useful to shed some light on the origin of the various effector subpopulations present at 8 d p.i. On the other hand, these subpopulations may simply represent different phases/activation stages of an effector cell at or near the height of the acute primary response, rather than reflecting truly distinct types of CD8+ T cells.
The CD8+ T cell effector response is central to clearing several bacterial, viral and fungal pathogens. CD8+ T cells are also preferentially used in chimeric antigen receptor (CAR) T cell therapies to fight cancer. Since Bcl-3 deficiency led to an enhanced effector but impaired memory CD8+ T cell response, it will be of great interest to investigate the role of Bcl-3 in CD8+ T cells in other acute and persistent infection and tumor models. It is conceivable that manipulation of Bcl-3 regulation/expression in e.g. CAR CD8+ T cells might allow for improved anti-cancer activities of these cells. A better understanding of the molecular targets of Bcl-3 as well as the regulation of Bcl-3 itself during CD8+ T cell differentiation should further aid in these efforts.
Materials and methods
Ethics statement
All animal handling procedures and experiments were approved by the NIAID Animal Care and Use Committee (protocol LMI-23E).
Mice
Rag1-/- (Taconic line 146) were purchased from Taconic Biosciences (Germantown, NY, USA). B6.SJL (CD45.1, JAX stock #002014), Cd4-Cre (JAX stock #17336) and CD8α-Cre (JAX stock #008766) mice were purchased from The Jackson Laboratory (Bar Harbor, ME, USA). Bcl3 Tg [38], Bcl3-/- and Bcl3fl/fl mice were described by us previously [39]. Anti-GP33 T cell receptor (P14) mice were generously provided by Dr. Ethan M. Shevach (NIAID/NIH) and crossed with Bcl3-/- mice. All mice bore the C57BL/6 background. To generate chimeric mice, WT (CD45.1) and Bcl3-/- or Bcl3 Tg CD4 cre / control (CD45.2) bone marrows were mixed in 1:1 ratio and transferred into sub-lethally irradiated (400 rads) Rag1-/- mice. Chimeric mice were infected with LCMV at least 6 weeks after reconstitution. All mice were housed in pathogen-free conditions in the NIAID animal facility.
Viral infection
LCMV strains (Armstrong and Clone 13) were kind gifts from Dr. Ethan M. Shevach. Mice were injected with 2x 105 pfu of LCMV Armstrong intra-peritoneally for analyses of primary anti-LCMV T cell response and for generation of memory T cells. To check recall responses at least 8 weeks after prior infection with LCMV Armstrong, these mice were challenged via intravenous injection with 2 x 106 pfu of LCMV Clone 13. Viral titers of stocks were determined by plaque assay on Vero cell monolayer [40].
Bcl-3 mRNA quantitation
CD8+ T cells were purified from WT mice spleens by MACS with the CD8a+ T cell isolation kit (Miltenyi Biotec, Auburn, CA, USA). Purified cells were kept at rest for 12 hours in T cell media (RPMI with 10% FBS, 10 mM HEPES, 1% non-essential amino acids, 1 mM sodium pyruvate, 100 units/ mL penicillin, 100 units/ mL streptomycin and 55 nM β-ME). After 12 h, cells were stimulated with plate bound CD3ε (145-2C11, 2 μg/mL) and soluble αCD28 (37.51, 1 μg/mL) (both from BioXcell, West Lebanon, NH, USA) in T cell media supplemented with murine IL-2 (10 ng/mL, PeproTech, Rocky Hill, NJ, USA). Cells were collected at various time points. For in vivo Bcl3 kinetic analysis, CD8+ T cells were purified from LCMV infected or naïve mice spleen by CD8a (Ly-2) microbeads (Miltenyi Biotec, Auburn, CA, USA) at various time points. RNA was prepared by RNeasy mini kit and cDNAs were synthesized using QuantiTect reverse transcription kit (both from Qiagen, Hilden, Germany). Bcl3 levels were quantified relative to Gapdh by TaqMan assays on Quantstudio3 real time system (Applied Biosystems by Thermo Fisher Scientific, Carlsbad, CA, USA).
Analysis of proliferation and apoptosis
CD8+ T cells were purified from mouse spleen by MACS with the CD8a+ T cell isolation kit (Miltenyi Biotec, Auburn, CA, USA) and stained with cell trace violet (CTV) proliferation dye eBioscience (Thermo Fisher Scientific, Eugene, OR, USA). 0.2 x106 cells were stimulated with plate bound anti-CD3ε (145-2C11, 2 μg/mL) and soluble αCD28 (37.51, 1 μg/mL) (both from BioXcell, West Lebanon, NH, USA) in T cell media supplemented with murine IL-2 (10 ng/mL, PeproTech, Rocky Hill, NJ, USA). Proliferation was measured by dilution of the proliferation dye and apoptosis was assessed with an Annexin V apoptosis detection kit with 7-AAD from BioLegend (San Diego, CA, USA). For in vivo proliferation comparison, CD8+ T cells were purified from WT and Bcl3 KO P14 mouse spleen by MACS with the CD8a+ T cell isolation kit (Miltenyi Biotec, Auburn, CA, USA) and stained with cell trace violet (CTV) proliferation dye eBioscience (Thermo Fisher Scientific, Eugene, OR, USA). 1 x106 cells were adoptively transferred to congenic recipient mice. The next day, mice were infected with LCMV Armstrong and mesenteric lymph nodes were analyzed 4 days after infection.
Quantitation of serum IFN-γ levels
Day 5 post LCMV Armstrong infection, serum was collected from peripheral blood and stored in -800 C until analyzed. Serum samples were analyzed for IFN-γ with ELISA assay kit (R&D systems, Inc., Minneapolis, MN, USA) as per the manufacturer’s instructions.
Bcl-3 qPCR for knock down efficiency
Specific cell types were sorted from mouse spleen suspension. Genomic DNA were extracted from sorted cells with the help of Maxwell 16 Tissue DNA Purification Kit (Promega, Madison, WI, USA). qPCRs were done from extracted genomic DNA to determine knockdown efficiency of CD8a-Cre expression by detecting Flox and knockout bands from Bcl-3 genomic region. For Flox band amplification: Fwd- CGTCCCCAGAGCCCGCAACCAC, Rev- GGGCCTCTCAACCTCTTTCCTA primer pair, while for knockout band: Fwd- GCGCCGCCCCGACTGAC, Rev- GGGCCTCTCAACCTCTTTCCTA primer pair were used.
Flow cytometry
Single cell suspensions of spleens and LNs were stained with Live/Dead Aqua (Life Technologies Corporation, Eugene, OR, USA) along with surface antibodies as indicated as well as with GP33-MHC-I tetramers (NIH, NIAID tetramer core facility, Atlanta, GA, USA) at 40 C for FACS analysis. For intracellular cytokine staining, splenocytes were stimulated with GP33 peptide (200 ng/mL, Peptide 2.0 Inc, Chantilly, VA, USA) for 4 hours in presence of protein transport inhibitor cocktail (eBioscience; Thermo Fisher Scientific, Carlsbad, CA, USA). Cells were stained for surface markers, fixed and permeabilized to stain for intracellular cytokines. Data were analyzed using FlowJo software (Becton Dickinson, Ashland, OR, USA). The following antibodies were used: CD8α (53–6.7), CD62L (MEL-14), Perforin (S16009A), Eomes (Dan11mag), T-bet (ebio4B10), Granzyme B (NGZB) and CD127 (A7R34) from eBioscience (Thermo Fisher Scientific, Carlsbad, CA, USA), KLRG1 (2F1/KLRG1), IFN-γ (XMG1.2), TNF-α (MP6-XT22), CD45.1 (A20), CD45.2 (104) and PD1 (29F.1A12) from BioLegend (San Diego, CA, USA), CD44 (IM7) and CD3ε (145-2C11) from BD PharMingen (BD Biosciences, San Jose, CA, USA).
Determination of serum virus titers
On day 4 post LCMV Clone 13 challenge, serum was isolated from peripheral blood of infected mice and stored at -800 C. Viral RNA was extracted with PureLink Viral RNA/DNA mini kit (Invitrogen; Thermo Fisher Scientific, Carlsbad, CA, USA) as per the manufacturer’s instructions. Isolated RNA was reverse transcribed using QuantiTect reverse transcription kit (Qiagen, Hilden, Germany). The prepared cDNA was quantified by real-time PCR with PowerUp SYBR green master mix (Applied Biosystems; Thermo Fisher Scientific, Vilnius, Lithuania) on a QuantStudio 3 real time system (Applied Biosystems; Thermo Fisher Scientific, Carlsbad, CA, USA). For identification of LCMV transcripts, primers specific for the LCMV segment S envelope glycoprotein (GP) gene (Fwd-CATTCACCTGGACTTTGTCAGACTC, Rev- GCAACTGCTGTGTTCCCGAAAC) were used [41].
Single-cell RNA sequencing
Splenic T cells were sorted from LCMV-infected chimeras, loaded onto a 10X Genomics Chromium platform to generate cDNAs carrying cell- and transcript-specific barcodes that were used to construct sequencing libraries using the Chromium Single Cell 3′ Library & Gel Bead Kit v2 according to the manufacturer instructions [37]. Libraries were sequenced on the Illumina NextSeq using paired-end 26x98bp in order to reach a sequencing saturation greater than 50%, resulting in 8,000–26,000 reads/cell. Data were analyzed as previously described [42]. Briefly, single-cell sequencing files were processed, and count matrices extracted using the Cell Ranger Single Cell Software Suite (v2.2.0). Further analyses were performed in R using the Seurat package (3.0) [43]. Data were pre-processed by removing genes expressed in fewer than 2 cells and excluding cells expressing fewer than 500 genes, or more than 10% mitochondrial genes. Reduction of data dimensionality was performed on the first 15 principal components (PC) calculated on the highly variable genes. Clustering was performed separately for each sample, and further analyses, including UMAP visualization, were performed after merging datasets using the MergeSeuratObjects function. Clusters representing less than 1% of each population (which corresponds to the expected duplicate capture rate) were excluded from downstream analyses.
Statistical analyses
Statistical significance is reported in figures and figure legends. Unpaired two-sided Student’s t-test was performed to calculate statistical significance with GraphPad Prism software (version 8, San Diego, CA). If F test showed significant variance between groups, Welch’s correction was applied.
Supporting information
Acknowledgments
We thank Ethan M. Shevach for LCMV strains; the NIH tetramer facility for providing tetramer reagents; NIAID flow cytometry core for cell sorting; Mike Kelly and Zachary Rae from CCR Single Cell Analysis Facility performed the capture and library preparation. Sequencing was performed by the CCR Sequencing Facility.
Data Availability
The authors confirm that all data underlying the findings are fully available without restriction. Sequence data are deposited in the NCBI Gene Expression Omnibus under the accession number GSE148660.
Funding Statement
This project was supported by the Intramural Research Program of National Institute of Allergy and Infectious Diseases (NIAID), NIH awarded to US and the Intramural Research Program of the National Cancer Institute, Center for Cancer Research, NIH awarded to RB. Support from CCR Single Cell Analysis Facility and CCR Sequencing Facility was funded by FNLCR Contract HHSN261200800001E. This work utilized the computational resources of the NIH HPC Biowulf cluster (http://hpc.nih.gov). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Stemberger C, Huster KM, Koffler M, Anderl F, Schiemann M, Wagner H, et al. A single naive CD8+ T cell precursor can develop into diverse effector and memory subsets. Immunity. 2007;27(6):985–97. 10.1016/j.immuni.2007.10.012 [DOI] [PubMed] [Google Scholar]
- 2.Gerlach C, Rohr JC, Perie L, van Rooij N, van Heijst JW, Velds A, et al. Heterogeneous differentiation patterns of individual CD8+ T cells. Science (New York, NY). 2013;340(6132):635–9. 10.1126/science.1235487 [DOI] [PubMed] [Google Scholar]
- 3.Joshi NS, Cui W, Chandele A, Lee HK, Urso DR, Hagman J, et al. Inflammation directs memory precursor and short-lived effector CD8(+) T cell fates via the graded expression of T-bet transcription factor. Immunity. 2007;27(2):281–95. 10.1016/j.immuni.2007.07.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Curtsinger JM, Lins DC, Mescher MF. Signal 3 determines tolerance versus full activation of naive CD8 T cells: dissociating proliferation and development of effector function. The Journal of experimental medicine. 2003;197(9):1141–51. 10.1084/jem.20021910 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Curtsinger JM, Valenzuela JO, Agarwal P, Lins D, Mescher MF. Type I IFNs provide a third signal to CD8 T cells to stimulate clonal expansion and differentiation. Journal of immunology (Baltimore, Md: 1950). 2005;174(8):4465–9. 10.4049/jimmunol.174.8.4465 [DOI] [PubMed] [Google Scholar]
- 6.Badovinac VP, Tvinnereim AR, Harty JT. Regulation of antigen-specific CD8+ T cell homeostasis by perforin and interferon-gamma. Science (New York, NY). 2000;290(5495):1354–8. 10.1126/science.290.5495.1354 [DOI] [PubMed] [Google Scholar]
- 7.Cannarile MA, Lind NA, Rivera R, Sheridan AD, Camfield KA, Wu BB, et al. Transcriptional regulator Id2 mediates CD8+ T cell immunity. Nature immunology. 2006;7(12):1317–25. 10.1038/ni1403 [DOI] [PubMed] [Google Scholar]
- 8.Rutishauser RL, Martins GA, Kalachikov S, Chandele A, Parish IA, Meffre E, et al. Transcriptional repressor Blimp-1 promotes CD8(+) T cell terminal differentiation and represses the acquisition of central memory T cell properties. Immunity. 2009;31(2):296–308. 10.1016/j.immuni.2009.05.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Dominguez CX, Amezquita RA, Guan T, Marshall HD, Joshi NS, Kleinstein SH, et al. The transcription factors ZEB2 and T-bet cooperate to program cytotoxic T cell terminal differentiation in response to LCMV viral infection. The Journal of experimental medicine. 2015;212(12):2041–56. 10.1084/jem.20150186 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Banerjee A, Gordon SM, Intlekofer AM, Paley MA, Mooney EC, Lindsten T, et al. Cutting edge: The transcription factor eomesodermin enables CD8+ T cells to compete for the memory cell niche. Journal of immunology (Baltimore, Md: 1950). 2010;185(9):4988–92. 10.4049/jimmunol.1002042 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Ichii H, Sakamoto A, Hatano M, Okada S, Toyama H, Taki S, et al. Role for Bcl-6 in the generation and maintenance of memory CD8+ T cells. Nature immunology. 2002;3(6):558–63. 10.1038/ni802 [DOI] [PubMed] [Google Scholar]
- 12.Yang CY, Best JA, Knell J, Yang E, Sheridan AD, Jesionek AK, et al. The transcriptional regulators Id2 and Id3 control the formation of distinct memory CD8+ T cell subsets. Nature immunology. 2011;12(12):1221–9. 10.1038/ni.2158 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Delpoux A, Lai CY, Hedrick SM, Doedens AL. FOXO1 opposition of CD8(+) T cell effector programming confers early memory properties and phenotypic diversity. Proceedings of the National Academy of Sciences of the United States of America. 2017;114(42):E8865–e74. 10.1073/pnas.1618916114 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Jeannet G, Boudousquie C, Gardiol N, Kang J, Huelsken J, Held W. Essential role of the Wnt pathway effector Tcf-1 for the establishment of functional CD8 T cell memory. Proceedings of the National Academy of Sciences of the United States of America. 2010;107(21):9777–82. 10.1073/pnas.0914127107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Zhou X, Yu S, Zhao DM, Harty JT, Badovinac VP, Xue HH. Differentiation and persistence of memory CD8(+) T cells depend on T cell factor 1. Immunity. 2010;33(2):229–40. 10.1016/j.immuni.2010.08.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Wu T, Ji Y, Moseman EA, Xu HC, Manglani M, Kirby M, et al. The TCF1-Bcl6 axis counteracts type I interferon to repress exhaustion and maintain T cell stemness. Science immunology. 2016;1(6). 10.1126/sciimmunol.aai8593 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Chen Z, Ji Z, Ngiow SF, Manne S, Cai Z, Huang AC, et al. TCF-1-Centered Transcriptional Network Drives an Effector versus Exhausted CD8 T Cell-Fate Decision. Immunity. 2019;51(5):840–55.e5. 10.1016/j.immuni.2019.09.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Bours V, Franzoso G, Azarenko V, Park S, Kanno T, Brown K, et al. The oncoprotein Bcl-3 directly transactivates through kappa B motifs via association with DNA-binding p50B homodimers. Cell. 1993;72(5):729–39. 10.1016/0092-8674(93)90401-b [DOI] [PubMed] [Google Scholar]
- 19.Franzoso G, Bours V, Azarenko V, Park S, Tomita-Yamaguchi M, Kanno T, et al. The oncoprotein Bcl-3 can facilitate NF-kappa B-mediated transactivation by removing inhibiting p50 homodimers from select kappa B sites. The EMBO journal. 1993;12(10):3893–901. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Franzoso G, Bours V, Park S, Tomita-Yamaguchi M, Kelly K, Siebenlist U. The candidate oncoprotein Bcl-3 is an antagonist of p50/NF-kappa B-mediated inhibition. Nature. 1992;359(6393):339–42. 10.1038/359339a0 [DOI] [PubMed] [Google Scholar]
- 21.Fujita T, Nolan GP, Liou HC, Scott ML, Baltimore D. The candidate proto-oncogene bcl-3 encodes a transcriptional coactivator that activates through NF-kappa B p50 homodimers. Genes & development. 1993;7(7b):1354–63. 10.1101/gad.7.7b.1354 [DOI] [PubMed] [Google Scholar]
- 22.Siebenlist U, Brown K, Claudio E. Control of lymphocyte development by nuclear factor-kappaB. Nature reviews Immunology. 2005;5(6):435–45. 10.1038/nri1629 [DOI] [PubMed] [Google Scholar]
- 23.Hayden MS, Ghosh S. NF-kappaB, the first quarter-century: remarkable progress and outstanding questions. Genes & development. 2012;26(3):203–34. 10.1101/gad.183434.111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Zhang X, Wang H, Claudio E, Brown K, Siebenlist U. A role for the IkappaB family member Bcl-3 in the control of central immunologic tolerance. Immunity. 2007;27(3):438–52. 10.1016/j.immuni.2007.07.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Franzoso G, Carlson L, Scharton-Kersten T, Shores EW, Epstein S, Grinberg A, et al. Critical roles for the Bcl-3 oncoprotein in T cell-mediated immunity, splenic microarchitecture, and germinal center reactions. Immunity. 1997;6(4):479–90. 10.1016/s1074-7613(00)80291-5 [DOI] [PubMed] [Google Scholar]
- 26.Pene F, Paun A, Sonder SU, Rikhi N, Wang H, Claudio E, et al. The IkappaB family member Bcl-3 coordinates the pulmonary defense against Klebsiella pneumoniae infection. Journal of immunology (Baltimore, Md: 1950). 2011;186(4):2412–21. 10.4049/jimmunol.1001331 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Tassi I, Claudio E, Wang H, Tang W, Ha HL, Saret S, et al. Adaptive immune-mediated host resistance to Toxoplasma gondii is governed by the NF-kappaB regulator Bcl-3 in dendritic cells. European journal of immunology. 2015;45(7):1972–9. 10.1002/eji.201445045 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Tang W, Wang H, Claudio E, Tassi I, Ha HL, Saret S, et al. The oncoprotein and transcriptional regulator Bcl-3 governs plasticity and pathogenicity of autoimmune T cells. Immunity. 2014;41(4):555–66. 10.1016/j.immuni.2014.09.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Mitchell TC, Hildeman D, Kedl RM, Teague TK, Schaefer BC, White J, et al. Immunological adjuvants promote activated T cell survival via induction of Bcl-3. Nature Immunology. 2001;2(5):397–402. 10.1038/87692 [DOI] [PubMed] [Google Scholar]
- 30.Chilton PM, Mitchell TC. CD8 T Cells Require Bcl-3 for Maximal Gamma Interferon Production upon Secondary Exposure to Antigen. Infection and Immunity. 2006;74(7):4180 10.1128/IAI.01749-05 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Valenzuela JO, Hammerbeck CD, Mescher MF. Cutting Edge: Bcl-3 Up-Regulation by Signal 3 Cytokine (IL-12) Prolongs Survival of Antigen-Activated CD8 T Cells. The Journal of Immunology. 2005;174(2):600 10.4049/jimmunol.174.2.600 [DOI] [PubMed] [Google Scholar]
- 32.Li Q, Eppolito C, Odunsi K, Shrikant PA. IL-12-Programmed Long-Term CD8+ T Cell Responses Require STAT4. The Journal of Immunology. 2006;177(11):7618 10.4049/jimmunol.177.11.7618 [DOI] [PubMed] [Google Scholar]
- 33.Bassetti MFJ, White J, Kappler JW, Marrack P. Transgenic Bcl-3 slows T cell proliferation. International Immunology. 2009;21(4):339–48. 10.1093/intimm/dxp002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Matloubian M, Concepcion RJ, Ahmed R. CD4+ T cells are required to sustain CD8+ cytotoxic T-cell responses during chronic viral infection. Journal of Virology. 1994;68(12):8056 10.1128/JVI.68.12.8056-8063.1994 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Maekawa Y, Minato Y, Ishifune C, Kurihara T, Kitamura A, Kojima H, et al. Notch2 integrates signaling by the transcription factors RBP-J and CREB1 to promote T cell cytotoxicity. Nature immunology. 2008;9(10):1140–7. 10.1038/ni.1649 [DOI] [PubMed] [Google Scholar]
- 36.Ellmeier W, Sunshine MJ, Losos K, Hatam F, Littman DR. An Enhancer That Directs Lineage-Specific Expression of CD8 in Positively Selected Thymocytes and Mature T Cells. Immunity. 1997;7(4):537–47. 10.1016/s1074-7613(00)80375-1 [DOI] [PubMed] [Google Scholar]
- 37.Zheng GXY, Terry JM, Belgrader P, Ryvkin P, Bent ZW, Wilson R, et al. Massively parallel digital transcriptional profiling of single cells. Nature communications. 2017;8:14049–. 10.1038/ncomms14049 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Zhang X, Paun A, Claudio E, Wang H, Siebenlist U. The Tumor Promoter and NF-κB Modulator Bcl-3 Regulates Splenic B Cell Development. The Journal of Immunology. 2013;191(12):5984 10.4049/jimmunol.1300611 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Tassi I, Claudio E, Wang H, Tang W, Ha HL, Saret S, et al. The NF-kappaB regulator Bcl-3 governs dendritic cell antigen presentation functions in adaptive immunity. Journal of immunology (Baltimore, Md: 1950). 2014;193(9):4303–11. 10.4049/jimmunol.1401505 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Welsh RM, Seedhom MO. Lymphocytic choriomeningitis virus (LCMV): propagation, quantitation, and storage. Curr Protoc Microbiol. 2008;Chapter 15:Unit 15A.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.McCausland MM, Crotty S. Quantitative PCR technique for detecting lymphocytic choriomeningitis virus in vivo. Journal of virological methods. 2008;147(1):167–76. 10.1016/j.jviromet.2007.08.025 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Ciucci T, Vacchio MS, Gao Y, Tomassoni Ardori F, Candia J, Mehta M, et al. The Emergence and Functional Fitness of Memory CD4(+) T Cells Require the Transcription Factor Thpok. Immunity. 2019;50(1):91–105.e4. 10.1016/j.immuni.2018.12.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Stuart T, Butler A, Hoffman P, Hafemeister C, Papalexi E, Mauck WM 3rd, et al. Comprehensive Integration of Single-Cell Data. Cell. 2019;177(7):1888–902.e21. 10.1016/j.cell.2019.05.031 [DOI] [PMC free article] [PubMed] [Google Scholar]