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. Author manuscript; available in PMC: 2015 Jun 15.
Published in final edited form as: J Immunol. 2014 May 16;192(12):5881–5893. doi: 10.4049/jimmunol.1303187

Graded levels of IRF4 regulate CD8+ T cell differentiation and expansion, but not attrition, in response to acute virus infection1

Ribhu Nayar *, Elizabeth Schutten *, Bianca Bautista *, Keith Daniels *, Amanda L Prince *, Megan Enos *, Michael A Brehm #, Susan L Swain *, Raymond M Welsh *, Leslie J Berg *,2
PMCID: PMC4080788  NIHMSID: NIHMS588464  PMID: 24835398

Abstract

In response to acute virus infections, CD8+ T cells differentiate to form a large population of short-lived effectors and a stable pool of long-lived memory cells. The characteristics of the CD8+ T cell response are influenced by TCR affinity, antigen dose, and the inflammatory cytokine milieu dictated by the infection. To address the mechanism by which differences in TCR signal strength could regulate CD8+ T cell differentiation, we investigated the transcription factor, IRF4. We show that IRF4 is transiently upregulated to differing levels in murine CD8+ T cells, based on the strength of TCR signaling. In turn, IRF4 controls the magnitude of the CD8+ T cell response to acute virus infection in a dose-dependent manner. Modest differences in IRF4 expression dramatically influence the numbers of short-lived effector cells at the peak of the infection, but have no impact on the kinetics of the infection or on the rate of T cell contraction. Further, the expression of key transcription factors such as TCF1 and Eomes are highly sensitive to graded levels of IRF4. In contrast, T-bet expression is less dependent on IRF4 levels, and is influenced by the nature of the infection. These data indicate that IRF4 is a key component that translates the strength of TCR signaling into a graded response of virus-specific CD8+ T cells.

Keywords: T Cells, Cytotoxic, Virus, T cell Receptors, Transcription Factors

Introduction

In response to acute infections, CD8+ T cells undergo priming, differentiation and expansion to generate robust effector responses that are required for antigen clearance (1, 2). At the termination of the response, majority of these effector CD8+ T cells die by apoptosis, while a small population of efficient memory T cells survives. These memory CD8+ T cells are primed for rapid proliferation and effector functions upon re-infection.

The magnitude and quality of the CD8+ T cell response to an infection is influenced by many factors, including the affinity of TCR-peptide/MHC interactions, the antigen load, co-stimulatory molecule expression, and the inflammatory cytokine environment. Differences in TCR affinity do not affect the initial activation of antigen specific CD8+ T cells, but at later time points, T cells with the highest affinity for the antigen dominate the response (3). Similarly, antigen load does not influence the numbers of CD8+ T at the early expansion phase, but does regulates the size of the overall response at the peak of infection (4–6). To date, the molecular mechanisms linking TCR affinity and antigen density to the magnitude of the CD8+ T response have not been characterized.

CD8+ T cell responses to acute infections are also regulated by variations in transcription factor expression. High expression of T-bet and Blimp1 drive the differentiation of primed CD8+ T cells into terminal effectors, while T cell factor 1 (TCF1) and Eomesodermin (Eomes) are important for the generation and maintenance of memory cells (7–12). Though the cytokine milieu influences the transcription factor profile of activated CD8+ T cells (8, 13), how these different molecular programs are initially established is not known.

The transcription factor IRF4 is upregulated by BCR and TCR signaling (14, 15). In B cells, different levels of IRF4 regulate differentiation to antibody secreting plasma cells versus germinal center cells (16). In T cells, IRF4 is required for the differentiation of helper CD4+ T cell subsets, functional Treg cells, and effector and innate like CD8+ T cells (17–26). Further, IRF4 was initially found to be required for normal T cell responses to acute LCMV infection (17). However, the role of IRF4 in CD8+ T cell differentiation to acute infections has not been characterized in detail, and importantly, the regulation of this process by distinct levels of IRF4 has not been investigated. In this study, we show that variations in antigen dose or in the affinity of TCR-peptide/MHC interactions lead to different levels of IRF4 expression in CD8+ T cells. In turn, these differences regulate the magnitude of the CD8+ T cell response to acute virus infection at the peak of the infection without having any substantial effect on CD8+ T cell attrition. Eomes and TCF1 expression are highly sensitive to distinct levels of IRF4, whereas the effects of IRF4 on T-bet expression are dependent on the nature of the infection. These data indicate that IRF4 is a key factor that links signals from the TCR to the transcriptional programming of CD8+ T cells.

Materials and Methods

Mice

Mice were housed in specific pathogen-free conditions at UMMS in accordance with IACUC guidelines. Irf4fl/flxCD4-Cre and OT-IxRag1−/− Irf4fl/fl CD4-Cre have been previously described (26, 27). P14xTCRα−/− were purchased from Taconic Farms (Germantown, New York). Irf4+/+xCD4-Cre, Irf4+/fl and Irf4+/+ were used as WT controls.

Antibodies, H2Db and H2Kb monomers and Staining

CD45.2-V500 and TNFα-APC-Cy7 were purchased from BD Biosciences (San Jose, California). KLRG1-FITC, Eomes-PE, CD107a-PE, CD107b-PE, CD27-PE, CD127-PE-Cy5, CD127-PerCP-Cy5.5, Tbet-PerCP-Cy5.5, IFNγ-PerCP-Cy5.5, Eomes-PerCP-efluor710, CD45.1-PECy7, KLRG1-PE-Cy7, Tbet-PE-Cy7, IRF4-AlexaFluor647, CD44-AlexaFluor700, CD62L-APC-eFluor780, CD44-eFluor450, KLRG1-eFluor450, IFNγ-eFluor450, CD90.2-APC-eFluor780, CD45.1-APC-eFluor780, IL-2-PerCP-Cy5.5 were purchased from eBioscience (San Deigo, California). CD8-PE-TexasRed, GranzymeB-PE, GranzymeB-APC, Live-Dead-Violet, Live-Dead-Aqua and goat-anti-rabbit IgG-AlexaFluor647 and -AlexaFluor488 were purchased from Life Technologies (Grand Island, New York). H2Db-GP33 monomers were prepared at UMMS; LCMV-specific (H2Db-NP396, H2Db-GP276) and Influenza A PR8-OVAI-specific (H2Kb-OVA257) monomers were obtained from the NIH Tetramer Core Facility (Atlanta, Georgia). Intracellular TCF1 staining was performed using rabbit-anti-mouse TCF1 (Cell Signaling Technology, Danvers, Massachusetts) followed by staining with goat-anti-rabbit secondary (Life Technologies). Samples were analyzed on an LSRII flow cytometer (Becton Dickinson), and data were analyzed using FlowJo (Tree Star).

Cell Culture

Lymph node cells from P14 WT and P14 Irf4+/fl mice were mixed with equal numbers of WT CD45.1 splenocytes and stimulated with GP33 or F6L peptides for 24, 48 and 72 hr. Cells were harvested and analyzed for IRF4, Eomes, and TCF1 expression by intracellular staining. For cytokine production, splenocytes from infected mice were stimulated with GP33, GP276 and NP396 peptide for 5hr in the presence of 1μg/ml Golgi Stop and 1μg/ml Golgi Plug, and antibodies to CD107a and CD107b.

Viruses, infections and adoptive transfers

For virus infections, LCMV-Armstrong GP33 and F6L variants were injected intraperitoneally (IP) at 5×104 PFU, unless otherwise specified. For adoptive transfers, splenocytes from P14 WT CD45.1+CD45.2+, P14 Irf4+/fl CD45.2+, OT-I WT CD45.1+ or OT-I Irf4+/fl CD45.2+ mice were stained with antibodies to CD8 and Vα2 to determine the proportions of P14 or OT I cells, and equal numbers of WT and Irf4+/fl cells were mixed. 2,000, 20,000 or 1,000,0000 total P14 cells were transferred intravenously (IV) into WT or CD45.1+ hosts one day prior to infection. 6,000 total OT-I cells were transferred IV into CD90.1 hosts and infected with O.3 LD50 of influenza A PR8-OVAI.

Plaque assay

Spleens were harvested at D8p.i., homogenized in media and stored at −80°C. Plaque assays were performed as previously described (28).

Statistical Analysis

All data are represented as mean±SEM. Statistical significance is indicated by ns (p>0.05), * (p≤0.05), ** (p≤0.01), *** (p≤0.001), **** (p≤0.0001) based on unpaired student T test.

Results

The strength of TCR signaling regulates the levels and duration of transcription factor expression

The expression of IRF4 is upregulated in naïve T cells by TCR signaling (14). This response is dependent on the activation of the Tec kinase Itk (26). To determine if the levels of IRF4 were affected by the strength of TCR signaling to stimulation by natural ligands, P14 TCR transgenic TCRα−/− (hereafter referred to as P14 WT) CD8+ T cells (29) were stimulated in vitro, and IRF4 levels were examined by intracellular staining. The P14 TCR recognizes the GP33–41 epitope (GP33) of LCMV bound to H2-Db. A single amino acid substitution from phenylalanine to leucine at position six generates a lower affinity peptide ligand, F6L (30). F6L–H2-Db complexes display approximately 5-fold reduction in the equilibrium dissociation constant (KD) for binding to the P14 TCR, and 100-1,000-fold reduction in functional avidity.

P14 T cells were stimulated with the high affinity GP33 peptide and the lower affinity F6L variant. At 24h, both populations of cells expressed similar amounts of IRF4. However, high IRF4 expression was sustained at 48h and 72h post-stimulation in cells stimulated with GP33, whereas cells stimulated with F6L showed declining IRF4 as early as 48h post-activation (Fig. 1A). Histograms showing IRF4 staining on IRF4-deficient P14 T cells (Irf4fl/fl) stimulated with the GP33 peptide are included as negative controls. Alterations in peptide dose also impacted IRF4 expression. As shown, higher doses of GP33 peptide (1μM and 100nM) induced strong IRF4 expression at 24h and 48h post-stimulation relative to the 10nM stimulation condition (Fig. 1B). By 72h, differences in IRF4 levels were observed between each of the peptide doses, with the highest peptide dose leading to the most sustained IRF4 expression (Fig. 1B). These data indicate that expression of IRF4 is transient, and is regulated by the strength of TCR stimulation.

Figure 1. Variations in TCR affinity and antigen dose upregulate IRF4, Eomes and TCF1 to different levels.

Figure 1

P14 WT and P14 Irf4fl/fl were stimulated in-vitro. At 0, 24, 48 and 72hr, cells were stained and analyzed for IRF4, Eomes, and TCF1 expression. Histograms show gated live CD8+ CD45.2+ CD44hi T cells. Gray histograms show staining on direct ex-vivo CD8+ CD45.2+ P14 WT cells. P14 Irf4fl/fl cells stimulated with 1μM GP33 peptide are included as negative staining controls for IRF4 expression. Data are representative of 4 independent experiments. Graphs are compilations of raw median fluorescence intensity (MFI) of gated live CD8+ CD45.2+ CD44hi T cells.

A, C, E. P14 WT T cells were stimulated with 1μM GP33 or F6L peptide. *, significant differences in MFI of WT cells stimulated with GP33 versus F6L ligands.

B, D, F. P14 WT cells were stimulated with the indicated doses of GP33 peptide. (B) 1μM and 100nM stimulation conditions were significantly different for IRF4 expression at 72hr, 10nM stimulation was significantly different from 1μM and 100nM at all timepoints. (D) 10nM stimulation was significantly different from 1μM and 100nM at 24h. (F) 10nM stimulation was significantly different from 1μM and 100nM at 72h.

In CD8+ T cells, IRF4 negatively regulates the expression of the transcription factor, Eomesodermin (Eomes), that is required for the maintenance of memory cells post-infection (11, 26). As shown in Fig 1C, stimulation with the lower affinity F6L peptide resulted in higher Eomes expression, correlating with their reduced IRF4 expression. Similar results were seen with diminishing doses of GP33 (Fig. 1D). Eomes expression in CD8+ T cells is positively regulated by the transcription factor, TCF1 (10). As shown in Fig. 1E, stimulation with GP33 or F6L peptide resulted in similar TCF1 expression 24h post-activation; however, at later timepoints, TCF1 remained highest in cells stimulated with the lower affinity F6L ligand. A similar pattern was seen with the lowest dose of GP33 (Fig. 1F). Together, these data demonstrate that varying TCR signal strength, either by changes in TCR-MHC/peptide affinity or dose, leads to distinct expression patterns of three key transcription factors in CD8+ T cells.

To determine whether IRF4 regulated the expression of Eomes and/or TCF1, we utilized P14 T cells with one or two alleles of Irf4 deleted (Irf4+/fl x CD4-Cre and Irf4fl/fl x CD4-Cre, referred to as Irf4+/fl and Irf4fl/fl, respectively). For these studies, P14 WT, P14 Irf4+/fl and P14 Irf4fl/fl T cells were stimulated in vitro with GP33. As expected, WT cells expressed the highest levels of IRF4 while Irf4+/fl cells expressed intermediate levels of IRF4 relative to Irf4fl/fl and WT cells 24 and 48h timepoints (Fig 2A); furthermore, this pattern of expression showed a striking similarity to that seen following stimulation of WT P14 T cells with the lower affinity F6L ligand or with lower doses of GP33 peptide (Compare Fig 2A with Figs 1A and 1B). Eomes expression inversely correlated with IRF4 levels; P14 Irf4fl/fl cells expressed the highest levels of Eomes, with Irf4+/fl T cells expressing intermediate levels of Eomes compared to WT cells (Fig. 2B). TCF1 expression was elevated in Irf4fl/fl and Irf4+/fl cells at the 72h timepoint relative to the WT samples with Irf4+/fl cells expressing the highest levels of TCF1 (Fig. 2C). These data indicate that a complete or heterozygous deficiency in Irf4 leads to lower expression of IRF4, and in turn, this alteration changes the expression patterns of Eomes and TCF1 in stimulated CD8+ T cells.

Figure 2. Irf4 regulates Eomes and TCF1 expression in a dose-dependent manner.

Figure 2

A–C. P14 WT, P14 Irf4+/fl and P14 Irf4fl/fl cells were stimulated with 1μM GP33 peptide for the indicated timepoints, and cells were stained and analyzed for IRF4, Eomes, and TCF1 expression. Histograms show gated live CD8+ CD45.2+ CD44hi T cells. Gray histograms show staining on direct ex-vivo CD8+ CD45.2+ P14 WT cells. Data are representative of 4 independent experiments. Graphs are compilations of raw median fluorescence intensity (MFI) of gated live CD8+ CD45.2+ CD44hi T cells. (A) IRF4 expression was significantly different between all genotypes at 24 and 48hr and between P14 WT and P14 Irf4+/fl cells, and P14 WT and P14 Irf4fl/fl cells at 72hr. (B) P14 WT and P14 Irf4fl/fl cells were significantly different at all timepoints, while P14 Irf4+/fl and P14 Irf4fl/fl cells were significantly different at 48 and 72hr. (C) TCF1 expression was significantly different between P14 WT and P14 Irf4+/fl cells at 72hr.

A heterozygous deficiency in Irf4 reduces virus-specific CD8+ T cell clonal expansion

To elucidate the role of graded IRF4 expression during polyclonal CD8+ T cell differentiation in vivo, WT, Irf4+/fl and Irf4fl/fl mice were infected with LCMV-Armstrong. Responses to three LCMV epitopes i.e. H2-Db/GP33–41, H2- Db/NP396–404, H2- Db/GP276–396 (hereafter referred to as GP33, NP396 and GP276) were examined using MHC-peptide tetramers. At the peak of the response, i.e. day 8 (D8) post-infection (p.i.), the magnitude of the CD8+ T cell response depended on the gene dosage of Irf4. WT CD8+ T cells mounted the most robust response, followed by Irf4+/fl, and then Irf4fl/fl cells (Fig. 3A and S1A and S1B). Enumeration of viral titers by plaque assay indicated that all WT (5/5) and Irf4+/fl (3/3) mice had cleared the virus, while only 30% of Irf4fl/fl (3/10) mice had cleared LCMV by D8 p.i. These data indicated that modest reductions in IRF4 expression did not interfere with viral clearance, but that a minimal level of IRF4 was required for sterilizing immunity to LCMV (Fig. 3B). As our in vitro studies showed reduced IRF4 expression levels following activation of WT versus Irf4+/fl P14 T cells, these initial infection experiments indicated that even modest differences in the magnitude of IRF4 expression had a profound effect on the clonal expansion of virus-specific CD8+ T cells.

Figure 3. Reduced gene dosage of Irf4 limits CD8+ T cell clonal expansion at the peak of the response without affecting attrition.

Figure 3

Splenocytes from LCMV-infected WT, Irf4+/fl and Irf4fl/fl mice were analyzed at D8, 10, 14 and 28 post-infection. (A) Dot plots show CD44 vs H2Db-GP33 tetramer staining on gated live CD8+ T cells. Graphs on right show a compilation of percentages and numbers from D8 p.i. (B) LCMV titers in spleen at D8 post infection. Dotted line indicates limit of detection. (C) Dot plots show CD44 vs H2Db-GP33 tetramer staining on gated live CD8+ T cells at indicated timepoints p.i.. Graphs show the compilation of total numbers of CD44hi GP33-specific T cells (left), proportions of CD44hi GP33-specific T cells at each timepoint normalized to the numbers at D8 (right). The graph below shows the differences in the numbers of CD44hi GP33-specific T cells between D8 and D28 p.i (i.e., average #D8 – average #D28) for each genotype; the number on the graph indicates the fold difference in the average numbers of WT cells lost between D8 and D28 relative to the loss of Irf4+/fl cells. Data are from 2 or more independent experiments with at least 6 mice per group per timepoint. (D) Splenocytes from LCMV-infected WT and Irf4+/fl mice at D14 and D28 p.i. were stimulated for 5hr with GP61 peptide and analyzed for IFNγ expression. Graphs show a compilation of data indicating the numbers of IFNγ-producing cells at D14 (left) and D28 (right) p.i. (E) Graphs show the average numbers at D14 and D28 p.i. to indicate the rate of attrition (left); bar graph indicates the loss of GP61 specific cells at D14 versus D28 p.i (right); the number on the bar graph indicates the fold difference in the average numbers of WT cells lost between D8 and D28 relative to the loss of Irf4+/fl cells.

Reduced levels of IRF4 do not affect the kinetics of CD8+ T expansion or attrition

The reduced numbers of virus specific Irf4+/fl cells at D8 p.i. could be attributed to delayed kinetics of Irf4+/fl CD8+ T cell expansion relative to the WT cells. Based on previous data indicating a regulatory T cell defect in Irf4fl/fl mice that disrupts normal T cell homeostasis (24, 26), studies of Irf4fl/fl mice were not included in the subsequent analyses. Instead, we focused on a comparison of WT versus Irf4+/fl T cell responses, to understand the effect of partial loss of IRF4 expression on CD8+ T cell differentiation. Examination of WT and Irf4+/fl CD8+ T cell populations at later time points following LCMV-Armstrong infection indicated that the peak response for both WT and Irf4+/fl CD8+ T cells was at D8 p.i; by D10 p.i., both populations had started to contract (Fig. 3C and S1C and S1D). Following antigen clearance, the majority of CD8+ T cells undergo attrition by apoptosis, and form a small but stable pool of memory cells (1, 2). Examination of virus-specific CD8+ T cells at D14 and D28 p.i. confirmed that this pattern was observed for both WT and Irf4+/fl CD8+ T cells. However, by D28 p.i., the differences in the numbers of WT and the Irf4+/fl cells were quite modest, and no longer significant for 1 of the 3 epitopes examined (Fig. 3C and S1C and S1D). Normalization of virus-specific CD8+ T cell numbers to the peak of the response indicated that loss of one allele of Irf4 did not change the kinetics of the CD8+ T response, nor did it affect the rate of CD8+ T cell contraction. Thus, in comparison to the numbers of virus-specific T cells present at the peak of the response, greater numbers of WT CD8+ T cells were lost between D8 and D28 p.i. relative to Irf4+/fl CD8+ T cells (Fig. 3C and S1C and S1D). Therefore, not only did WT cells undergo more robust expansion than the Irf4+/fl CD8+ T cells, the WT cells also underwent more extensive contraction.

We also examined the CD4+ T cell response to LCMV-Armstrong in infected WT and Irf4+/fl mice. Similar to our findings for CD8+ T cells, analysis of GP61 epitope-specific CD4+ T cells at D14 and D28 p.i. indicated a defect in Irf4+/fl CD4+ T cell expansion relative to the WT cells (Fig. 3D). Further, consistent with our analysis of the CD8+ T cell response, we found that greater numbers of WT GP61-epitope specific CD4+ T cells were lost between D14 and D28 p.i. relative to Irf4+/fl CD4+ T cells (Fig. 3E).

To generalize these findings to a distinct infection model, we performed a second series of studies examining CD8+ T cell responses to the PR8-OVAI strain of Influenza A. At D8 p.i., both WT and Irf4+/fl mice mounted robust OVA257–264-specific poly-clonal CD8+ T cell responses. As with LCMV, Irf4+/fl CD8+ T cells showed a diminished response relative to WT cells. This reduction was observed in the draining mediastinal lymph node (DLN) as well as in the lungs of infected mice (Fig 4A, 4B). By D28 p.i., OVA257–264-specific CD8+ T cell populations had undergone attrition in the DLN and lungs of both groups of mice; further, at this timepoint, no significant differences in the numbers of cells were observed when comparing WT and Irf4+/fl mice. Consistent with this, we found that greater numbers of OVA-specific CD8+ T cell were lost between D8 and D28 p.i. in both DLN and lungs of WT relative to Irf4+/fl mice following infection with PR8-OVAI.

Figure 4. Irf4 haplo-deficiency results in a reduced CD8+ T cell response to Influenza A infection.

Figure 4

T cells from Influenza A (PR8-OVAI)-infected WT and Irf4+/fl mice were analyzed at D8 and 28 p.i. Dot plots show CD44 vs H2Kb-OVA tetramer staining on gated live CD8+ T cells in mediastinal draining lymph nodes (DLN) (A) and lungs (B). Graphs below indicate the absolute numbers of OVA-specific cells at D8 and 28 p.i. (left) and the loss in numbers of CD44hi OVA-specific T cells between D8 and D28 p.i (i.e., average #D8 – average #D28; right) for each genotype; the number on the graph indicates the fold difference in the average numbers of WT cells lost between D8 and D28 relative to the loss of Irf4+/fl cells. Data are a compilation of two independent experiments with at least 5 mice per group per time point.

Together, these data suggest that the effects of reduced IRF4 expression are a general feature of CD8+ T cell responses to viral infections, and further, are impacting CD4+ T cell responses as well. We conclude that different amounts of IRF4 expression during T cell priming regulate the magnitude of the peak antiviral T cell response without affecting the kinetics of the response, or the rate of attrition following antigen clearance.

Reduced gene dosage of Irf4 regulates effector cytokine expression

To assess CD8+ T cell effector functions following virus infection, splenocytes from LCMV-Armstrong infected WT, Irf4+/fl and Irf4fl/fl mice were examined at D8 and D28 p.i. for IFNγ, TNFα and IL-2 expression. As expected, the gene dosage of Irf4 strongly correlated with the numbers of IFNγ-producing CD8+ T cells (Fig. 5, S2A and S2B). No differences in the frequencies of TNFα producing CD8+ T cells as a proportion of IFNγ+ CD8+ T cells were observed at D8 p.i. when comparing WT and Irf4+/fl mice; however, Irf4fl/fl mice showed a substantial reduction in the relative proportion of this double cytokine-producing subset. Furthermore, at D28 p.i, the median fluorescence intensity (MFI) of TNFα staining, and the frequencies of TNFα/IFNγ double-producers and IFNγ/TNFα/IL-2 triple-producers were significantly decreased in Irf4+/fl mice compared to WT controls. Analyses of granzyme B expression and degranulation as assessed by CD107a and CD107b staining revealed no differences between any of the genotypes at either timepoint. Overall, these data indicate that reduced expression of IRF4 leads to an impaired ability of virus-specific CD8+ T cells to produce cytokines other than IFNγ as the cells transition into a long-term memory population.

Figure 5. Lower expression of IRF4 impairs production of effector cytokines at D28 post-infection.

Figure 5

Splenocytes from LCMV-GP33-infected WT, Irf4+/fl and Irf4fl/fl mice from D8 and D28 p.i. were stimulated for 5hr with GP33 peptide and analyzed for IFNγ, TNFα, IL-2, granzyme B, and CD107a+CD107b. Dot-plots show IFNγ versus TNFα staining on gated live CD8+ CD44hi T cells, and for D28 p.i., IFNγ+ cells were analyzed for TNFα versus IL-2 staining. Graphs show a compilation of numbers of IFNγ+ cells from D8 and D28 p.i., and %TNFα+ IL-2− and %TNFα+ IL-2+ on gated IFNγ+ cells at D28 p.i. At right, histograms show Granzyme B, CD107a+CD107b, and TNFα staining; gray histograms show staining on naïve CD8+ T cells from uninfected WT mice; the graph shows a compilation of mean fluorescence intensities (MFI) of TNFα staining at D28 p.i. normalized to WT samples in each experiment. Data are representative of 3 independent experiments with at least 5 mice per group per timepoint.

Levels of IRF4 expression selectively impact the short-lived CD8+ effector cell population

In response to acute infections, CD8+ T cells undergo clonal expansion and differentiation to short-lived effector cells (SLEC, KLRG1hiCD127lo) and memory-precursor effector cells (MPEC, KLRG1loCD127hi). Examination of these populations revealed that reduced IRF4 expression had a more substantial impact on the numbers of virus-specific SLEC compared to MPEC for each population (Fig. 6A and S3A and S4A). Specifically, at D8 p.i., Irf4+/fl mice had a 2.5–4.4 fold reduction in numbers of SLEC versus a 1.4–2.0 fold reduction in MPEC numbers over the three epitopes examined. Furthermore, in spite of the increase in MPEC percentages among virus-specific CD8+ T cells in Irf4+/fl mice at early times after infection (D8, 10, and 14 p.i.), the absolute numbers of MPECs in these mice were decreased. Since the numbers of SLEC are much greater than the numbers of MPEC, these data indicate that diminished SLEC populations are largely responsible for the decrease in the total magnitude of the CD8+ T cell effector response in Irf4+/fl mice. Interestingly, by D28 p.i., WT and Irf4+/fl mice had comparable numbers of virus-specific CD8+ T cells, and no significant differences in the numbers of MPEC were observed for two of the three viral epitopes examined. Consistent with these data, examination of virus-specific effector (TEM) and central (TCM) memory populations at D28 p.i. showed only a modest reduction in the numbers of TEM in Irf4+/fl compared to WT mice, and no differences in the numbers of TCM cells between the two genotypes (Fig. 6B and S3B and S4B). These data indicate that reduced IRF4 expression is regulating the expansion phase of the T cell response, but not impacting the generation of long-lived virus-specific CD8+ T cells.

Figure 6. Differences in IRF4 expression regulate the nature of CD8+ T cell differentiation.

Figure 6

Splenocytes from LCMV-GP33-infected WT, Irf4+/fl and Irf4fl/fl mice were analyzed at D8, 10, 14 and 28 p.i. (A) Dot plots show KLRG1 versus CD127 staining on CD44hi H2Db-GP33 tetramer-positive live CD8+ T cells. Graphs show compilations of the percentages and numbers of KLRG1hiCD127lo (SLEC) and KLRG1loCD127hi (MPEC) populations. Numbers on timecourse graphs indicate the relative difference in SLEC or MPEC numbers between WT and Irf4+/fl mice at D8 p.i. (B) Dot plots show CD44 versus CD62L staining on CD44hi H2Db-GP33 tetramer-positive live CD8+ T cells at D28 p.i. Graphs show compilations of the percentages and numbers of CD44hiCD62Llo (Tem) and CD44hiCD62Lhi (Tcm) populations. (C) Histograms show TCF1, Eomes, and T-bet staining on CD44hi H2Db-GP33 tetramer-positive live CD8+ T cells. Graphs show compilations of MFI of transcription factor staining at D8 p.i., normalized to WT samples in each experiment. Data are representative of 2 or more independent experiments with n 6 mice per time point.

Differential role for IRF4 in regulating TCF1, Eomes and T-bet expression

Virus-specific CD8+ T cell differentiation is regulated by the expression of transcription factors such as TCF1, Eomes, and T-bet at D8 p.i (8, 10–12, 31). Consistent with our in vitro stimulation data, LCMV-specific Irf4fl/fl cells expressed the highest levels of TCF1 and Eomes, Irf4+/fl cells had intermediate levels, and WT cells had the lowest levels of both factors. In contrast, the expression of T-bet was reduced in Irf4fl/fl cells compared to WT, but no differences were observed in T-bet levels when comparing WT and Irf4+/fl cells (Fig 6C, S3C and S4C). These data indicated that TCF1 and Eomes expression were more sensitive to modest changes in IRF4 levels than was T-bet expression, indicating an IRF4 dose-dependent variation in the regulation of these key transcription factors. At later timepoints post-infection, differences in Eomes and TCF1 levels in virus-specific Irf4+/fl versus WT cells were less uniform across the three epitope-specific populations, although in general, Irf4+/fl cells tended to express higher levels of these factors than WT cells at D10 and 14 p.i; however, by D28 p.i., no further differences were observed between Irf4+/fl and WT cells. Consistent with the transient nature of IRF4 expression and the data presented above, these results confirm that variations in IRF4 expression levels have the greatest impact at the peak of the virus-specific CD8+ T cell response, and are not generally altering the long-lived population of virus-specific CD8+ T cells found at D28 p.i.

Cell-intrinsic role for IRF4 in regulating the magnitude of the CD8+ effector T cell response

To assess whether the altered virus-specific CD8+ T cell response seen in Irf4+/fl versus WT mice was due to differences intrinsic to the CD8+ T cells, we performed adoptive transfer experiments. This approach also allowed us to examine whether activation of P14 T cells in vivo with an LCMV variant expressing the lower affinity F6L ligand would phenocopy the results of reducing IRF4 expression by a heterozygous deficiency in the Irf4 gene. We first established that activation of P14 cells with LCMV expressing the GP33 epitope results in higher IRF4 expression relative to P14 cells activated in response to LCMV-F6L infection. One million congenically-marked WT P14 (CD45.1+ CD45.2+) cells were transferred into naïve WT (CD45.2+) hosts. One day later, mice were infected with 1×105 PFU LCMV-Armstrong expressing either the WT GP33 epitope (LCMV-GP33) or the mutant F6L epitope (LCMV-F6L). Previous studies showed that the single amino acid substitution in the LCMV-F6L virus has no impact on viral replication or viral clearance when compared to LCMV-GP33 (30). As expected, at D3 p.i., P14 cells activated with LCMV-GP33 expressed higher levels of IRF4 relative to P14 cells activated in response to the F6L epitope (Fig 7A). These data were consistent with the results seen upon in-vitro stimulation of WT P14 cells with the GP33 and F6L ligands (Fig 1A).

Figure 7. Cell intrinsic requirement for IRF4 in regulating the magnitude of CD8+ T cell responses.

Figure 7

(A) 1×106 P14 WT (CD45.1+CD45.2+) cells were transferred into CD45.2+ hosts one day prior to infection with 1×105 PFU LCMV-GP33 or LCMV-F6L virus. Histograms show IRF4 staining on gated live CD8+ CD44hi P14 cells; the gray histogram represents IRF4 staining on naïve CD8+ CD44lo cells. The graphs below show compilations of MFI for IRF4 staining normalized to the LCMV-GP33 infection in each experiment.

(B–D) 2,000 or 20,000 P14 cells comprising a 1:1 mix of P14 WT (CD45.1+CD45.2+) and P14 Irf4+/fl (CD45.2+) were transferred into CD45.1+ congenic hosts one day prior to infection with LCMV-GP33 or LCMV-F6L, and splenocytes were analyzed on D8 p.i. Dot-plots show CD45.1 versus CD45.2 staining on input cell mixture (B), or on gated live CD8+ CD44hi from mice infected with LCMV-WT (C) or LCMV-F6L (D). Graph shows a compilation of percentages of P14 WT and P14 Irf4+/fl populations from mice receiving 2,000 P14 cells. Data are representative of ≥3 independent experiments.

To assess the cell intrinsic role of reduced TCR stimulation, either alone or in combination with reduced IRF4 expression, in regulating the CD8+ T cell response, congenically-marked WT P14 (CD45.1+ CD45.2+) and Irf4+/fl P14 (CD45.2+) cells were mixed 1:1 and transferred into naïve WT (CD45.1+) hosts (Fig 7B). When analyzed at D8 p.i., we observed a substantially greater proportion of WT P14 cells relative to the Irf4+/fl P14 population, indicating differential expansion of the two populations (Fig 7C, D). This trend was observed when a total of 2,000 or 20,000 P14 cells were transferred as a 1:1 mixture of the two genotypes. Strikingly, infection with the LCMV-F6L virus reduced the overall expansion of both WT and Irf4+/fl P14 cells, but maintained the competitive advantage of the WT over the Irf4+/fl cells (Fig 7D). These findings indicate that the decreased expansion of P14 cells in response to LCMV-F6L relative to LCMV-GP33 is highly correlated with decreased IRF4 expression. Thus, these data suggest that variable upregulation of IRF4 in CD8+ T cells is responsible for the effect of TCR signal strength on the magnitude of the peak effector response, as reported (3).

More detailed analyses of the P14 populations were performed with mice receiving 20,000 transferred P14 cells prior to infection, as this provided a greater number of cells for analysis. Examination of SLEC versus MPEC subsets among the P14 populations indicated that the graded magnitude of the response seen among the four experimental groups could be largely attributed to differences in the expansion of P14 SLEC (Fig. 8A). This was affected by changes in IRF4 expression due to deletion of one Irf4 allele, or by infecting mice with an LCMV variant expressing only a lower affinity ligand for the P14 TCR, or both. In contrast, the MPEC populations were largely unaffected by loss of one functional Irf4 allele. Regardless of the virus used, Irf4+/fl P14 cells expressed higher total levels TCF1 due to the increased proportions of TCF1+ cells among the Irf4+/fl P14 populations (Fig. 8B). However, similar to our observations regarding the MPEC population, the absolute numbers of TCF1+ cells were not affected by a heterozygous deficiency in Irf4 (Fig. 8B). This is in contrast to a recent report showing a ~2-fold decrease in tcf7 mRNA in in-vitro activated Irf4-deficient OT-I CD8+ T cells (32). This discrepancy could arise from differential priming of CD8+ T cells in vivo in response to a virus infection versus that occurring when T cells are activated in-vitro; alternatively, the differences seen might arise from differences in the timepoints examined in our ex vivo analysis versus that used for the in vitro stimulation studies. Nonetheless, consistent with previous data (10), we found that higher TCF1 expression in Irf4+/fl P14 cells correlated with enhanced Eomes expression in these cells (Fig. 8C). In contrast, we observed no differences in the expression of T-bet when comparing WT to Irf4+/fl P14 cells (Fig. 8C).

Figure 8. Irf4 haplo-deficiency selectively impairs terminal effector CD8+ T cell numbers and alters transcription factor, CD27 and Bcl2 expression.

Figure 8

20,000 P14 cells comprising a 1:1 mix of P14 WT (CD45.1+CD45.2+) and P14 Irf4+/fl (CD45.2+) were transferred into CD45.1+ congenic hosts one day prior to infection with LCMV-GP33 or LCMV-F6L, and splenocytes were analyzed on D8 p.i. (A) Dot plots show KLRG1 versus CD127 staining on gated live CD8+ CD44hi P14 populations. Graphs show compilations of percentages and numbers of SLEC and MPEC populations for each genotype. (B) The histogram shows TCF1 expression on gated live CD8+ CD44hi P14+ cells. Open histograms, LCMV-WT responding cells; shaded histograms, LCMV-F6L responding cells. Colors are as indicated in graphs. The graph below shows the compilation of TCF1 MFI normalized to WT cells responding to LCMV-WT virus in each experiment. Dot plots show CD8 versus TCF1 staining on gated live CD8+ CD44hi P14 cells. The graphs at the right show compilations of percentages and absolute numbers of CD8+ TCF1+ population for each genotype. (C) Histograms show Eomes, T-bet, and CD27 staining on CD8+ CD44hi P14 cells of each genotype, and the graphs below show compilations of MFI for each stain normalized to WT cells responding to LCMV-WT virus in each experiment. (D) Left histogram shows Bcl2 staining on gated live CD8+ CD44hi P14 populations from LCMV-WT responding cells (open histograms) and LCMV-F6L responding cells (shaded histograms). Colors are as indicated in the graph. The graph below shows the compilation of Bcl2 MFI normalized to WT cells responding to LCMV-WT virus in each experiment. Right histogram shows Bcl2 staining on gated live CD8+ CD44hi P14 SLEC (open histograms) and MPEC (shaded histograms) populations from LCMV GP33 infected mice. Colors are as indicated in graphs. The graph below shows the compilation of Bcl2 MFI normalized to WT SLEC samples for each experiment. Data are representative of 2–3 independent experiments.

The co-stimulatory molecule CD27 is important for survival of CD8+ effector and memory cells (33); interestingly, we found increased expression of CD27 on Irf4+/fl P14 cells than WT P14 cells (Fig. 8C). This finding is consistent with our observation that, following the peak of the antiviral response, Irf4+/fl cells undergo less cell death than their WT counterparts. To address this possibility further, we examined Bcl2 expression. As shown, the loss of one allele of Irf4 and/or infection with LCMV-F6L resulted in enhanced expression of the pro-survival molecule Bcl2 in P14 cells (Fig. 8D). This increase could be mainly attributed to higher Bcl2 expression in the Irf4+/fl versus the WT P14 MPEC population (Fig. 8D). Together, these data are consistent with the greater survival potential of Irf4+/fl P14 cells relative to WT, and provide an explanation for the reduced numerical attrition of virus-specific Irf4+/fl CD8+ T cells observed (Figures 3C, S1C, S1D and 4A and 4B). Finally, these data also indicate that the differences in the clonal expansion and differentiation of virus specific effector CD8+ T cells observed upon infection of intact WT and Irf4+/fl mice were due to a CD8+ T cell-intrinsic requirement for high levels of IRF4; further, these differences mainly arose from the variable expansion of the short-lived effector cells.

We next confirmed the cell intrinsic role of IRF4 in CD8+ T cell expansion using the Influenza A infection system. WT and Irf4+/fl OT-I CD8+ T cells were mixed 1:1 and transferred into WT hosts, which were then infected with the PR8-OVAI strain of Influenza A that expresses the epitope recognized by OT-I cells. Analysis of OT-I populations at the peak of the response (D8 p.i.) indicated a defect in the ability of Irf4+/fl OT -I cells to clonally expand relative to WT OT-I populations in the spleen, draining mediastinal lymph node (DLN) and lung (Fig 9A). These data are in agreement with the findings from analysis of polyclonal OVA-specific CD8+ T cell responses in intact WT and Irf4+/fl mice (Fig 4A and B), indicating the CD8+ T cell-intrinsic nature of this effect. We also observed that the expression of TCF1 and Eomes were higher in Irf4+/fl OT-I cells compared to WT OT-I cells in the two lymphoid organs examined, whereas little difference was observed when comparing the two OT-I populations in the lung (Fig 9B). Interestingly, unlike our findings with acute LCMV infection, Influenza A infection revealed a reduction in T-bet levels in Irf4+/fl OT-I cells compared to WT OT-I cells in the spleen and DLN (Fig 9B). The differences in T-bet expression seen following Influenza A, but not LCMV, infection might be due to a difference in the cytokine milieu between these two virus infections. Whereas high levels of IL-12 are induced during acute Influenza infection, LCMV-Armstrong infection induces little IL-12 (34, 35). As IL-12 is a potent inducer of T-bet expression (36), the presence of IL-12 might reveal a requirement for high levels of IRF4 to achieve the maximum expression of T-bet. In addition, these data confirm the critical role of high IRF4 expression in regulating the magnitude of the effector CD8+ T cell response in lymphoid organs, but indicate a lesser impact on the CD8+ T cells present at the site of infection in a non-lymphoid peripheral tissue.

Figure 9. IRF4 regulates the numbers and differentiation of CD8+ T cells in response to Influenza A infection.

Figure 9

6,000 OT-I cells comprising a 1:1 mix of OT-I WT (CD45.1+) and OTI Irf4+/fl (CD45.2+) were transferred into CD90.1 congenic WT hosts and infected with PR8-OVAI. Spleens, draining mediastinal lymph nodes (DLN) and lungs were harvested at D8 p.i. (A) Dot-plots show CD45.1 versus CD45.2 staining on live CD8+ CD44hi CD90.2+ cells. Graph shows the ratios of OT-I WT to OTI Irf4+/fl cells in each organ. (B) Histograms show TCF1, Eomes, and T-bet staining of OT-I WT (red) and OTI Irf4+/fl (blue) cells relative to isotype controls (gray histograms). Graphs show MFI of transcription factor staining normalized to WT samples in each experiment. Data are representative of 2 independent experiments.

Differential T cell expansion is driven by variations in the levels of IRF4 expressed in competing T cell populations

The data described above establish a CD8+ T cell-intrinsic requirement for IRF4. During polyclonal T cell responses, antigen-specific T cells compete for antigen and inflammatory cytokines. To test whether variations in IRF4 expression levels between competing T cell populations could result in variable T cell expansion, we transferred WT P14 T cells into either WT or Irf4+/fl host mice, and infected with LCMV-GP33 or LCMV-F6L virus. Our findings thus far predicted that, in the case where WT P14 cells were responding in a host where all endogenous T cells are Irf4+/fl, the WT P14 cells should show an enhanced response relative to their response in a WT host environment. In contrast, we reasoned that the WT P14 cells should show an impaired response following infection with LCMV-F6L in a WT host; however, we predicted that this response should improve if the WT P14 cells are transferred into Irf4+/fl hosts, thereby providing the WT P14 cells with an advantage based on two functional alleles of Irf4.

As shown in Fig 10A, the data from these experiments supported our predictions. A single population of WT P14 T cells was transferred into either WT or Irf4+/fl hosts, which were then infected with either LCMV-GP33 or LCMV-F6L. We found that WT P14 cells contributed more dominantly to the response to LCMV-GP33 when the endogenous T cell population was Irf4+/fl cells, in contrast to their contribution when responding in a WT host. Alternatively, the WT P14 cells contributed little to the response to LCMV-F6L when present in a WT host, but this response could be greatly improved by transferring these cells into an Irf4+/fl host, where the endogenous T cell response was handicapped in IRF4 expression. These data indicate that the contribution of an individual virus-specific CD8+ T cell population to the overall response is not simply regulated by the levels of IRF4 expressed in those cells, but is also determined by the levels of IRF4 expressed in competing T cell populations present in the same individual.

Figure 10. Ability to express higher levels of IRF4 provides a competitive advantage toantigen-specific CD8+ T cells.

Figure 10

(A) 1,000 P14 WT (CD45.1+CD45.2+) T cells were transferred into WT or Irf4+/fl hosts (CD45.2+) one day prior to infection with LCMV-GP33 or LCMV-F6L, and splenocytes were analyzed at D8 p.i. Dot-plots show CD45.1 versus CD45.2 staining on gated live CD8+ CD44hi cells. Graphs show a compilation of percentages of P14 WT populations. Data are representative of 2 independent experiments with ≥4 mice per group. (B) Splenocytes from LCMV-GP33-infected WT mice were analyzed at D8, D14 and D28 post-infection (p.i.). Histograms show TCF1 staining of CD44hi H2Db-NP396, -GP33 and -GP276 tetramer-positive live CD8+ T cells; gray histograms represent isotype control staining.

Based on these data, we speculated that the CD8+ T cells forming the most robust response to an acute infection would express the highest levels of IRF4, thus accounting for the predominance of these populations at the peak of the response. In acute LCMV infections, CD8+ T cell responses to GP33 and NP396 epitopes are immuno-dominant while those to GP276 are subdominant (37). Since the expression of IRF4 is transient in nature, we were unable to detect differences in IRF4 expression in these populations during the polyclonal response to LCMV-Armstrong. However, we did observe that the magnitude and kinetics of upregulation of TCF1, a target repressed by IRF4, were different between the epitope-specific populations. GP276-specific cells expressed the highest levels of TCF1, followed by GP33-specific cells, and then NP396-specific cells, suggesting lower IRF4 expression in GP276-specific cells and the highest expression in NP396-specific cells (Fig 9B). Since TCF1 also regulates the differentiation of Tem to Tcm (10), these data provide further mechanistic support for the observation that GP276-specific CD8+ T cells are the earliest subset to form Tcm in response to LCMV-Armstrong, while NP396-specific T cell population are the slowest (38). These results show that variations in IRF4 expression can modulate the relative proportions of different virus-specific T cell populations recognizing the same epitope, and suggest that differences observed in the expansion of polyclonal T cell responses to different epitopes may be driven by differential upregulation of IRF4.

Discussion

The adaptive immune system protects us from pathogens by mounting a strong primary response, and then retaining protective cells that form immunological memory. The recognition of pathogens by CD8+ T cells occurs via interactions of the TCR with peptide/MHC complexes. This process not only allows for activation of pathogen-specific T cells, but also for the selection of high affinity CD8+ T cell clones from the pool of responding T cells (3). While even brief antigen exposure is sufficient to induce a programmed proliferative burst of effector CD8+ T cell (39, 40), the ultimate magnitude of the response is nonetheless proportional to the overall antigen load (4–6). These findings indicate that TCR signaling contributes to the programming of the CD8+ T cell response during the short period of initial antigen exposure.

The data presented here, along with two recent reports (32, 41), demonstrate that the transcription factor, IRF4, is a central component in translating the strength of TCR signaling into the magnitude of the CD8+ T cell response to infection. Man et.al. examined the response of OT-I CD8+ T cell to infections with Influenza A virus expressing different affinity variants of the OVA peptide. This study showed that decreasing the TCR signal strength resulted in lower IRF4 expression in OT-I cells both in-vitro and in-vivo, and dramatic differences in the numbers of OT-I CD8+ T cells at the peak of the response, a phenotype similar to that observed for IRF4-deficient CD8+ T cells responding to infection. Yao et.al. also showed that IRF4 expression was dependent on the strength of TCR signaling in-vitro, and that loss of IRF4 expression resulted in a diminished polyclonal CD8+ T cell response at the peak of the infection. Consistent with these two studies, we found that upregulation of IRF4 in P14 TCR transgenic CD8+ T cells was also dependent on the affinity and the dose of the stimulating peptide. Further, reduced expression of IRF4 was also observed following in-vitro stimulation of Irf4 haplo-deficient P14 T cells compared to WT. Similar to the findings of Man, et al., we also found a dose-dependent decrease in CD8+ T cell expansion upon loss of one or both alleles of Irf4, a phenomenon that could be phenocopied using an LCMV variant expressing a lower affinity ligand for the P14 TCR. Taken together, these studies provide strong support for the conclusion that levels of IRF4 are tightly regulated by the strength of TCR signaling, and in turn, regulate the magnitude of the CD8+ T cell response to infection.

Most importantly, we show that modest variations in the levels of IRF4 expression, such as those achieved by a heterozygous deficiency in Irf4, are sufficient to have a dramatic impact on the peak expansion of virus-specific CD8+ T cells. In our studies, reduced IRF4 expression decreased the maximum numbers of antigen-specific CD8+ T cells by 2–3-fold, and further, had a greater impact on the numbers of short-lived effector cells compared to the memory precursor effector cells. These data provide a mechanistic explanation for previous studies demonstrating that shortening the duration of antigen exposure decreases the total CD8+ T cell response and in particular the size of the SLEC compartment, without affecting the numbers of MPEC (4, 6, 8).

Our studies also showed that, following virus clearance and the bulk of the T cell attrition, there was virtually no impact on the numbers of antigen-specific T cells remaining, regardless of their ability to express high levels of IRF4. This latter finding is strikingly similar to the observations of M. Bevan and colleagues in their elegant study examining the response of OT-I T cells to strains of Listeria monocytogenes expressing different affinity variants of the OVA peptide (3). In this study, dramatic differences in the peak expansion of OT-I T cells were seen following activation by Listeria strains expressing the different OVA variants; however, following bacterial clearance, few differences were found in the numbers of long-term surviving OT-I memory T cells. A likely explanation for these data is that the higher affinity OVA variants induced higher levels of IRF4 than did the lower affinity variants, thus accounting for the relative response of the OT-I T cells to each bacterial strain. Further, as the expression of IRF4 is transient in nature, the effects of different levels of IRF4 are limited to CD8+ T cell priming and the peak expansion phase, but not thereafter. We also found increased expression pro-survival factors, CD27 and Bcl2, in P14 Irf4 haplo-sufficient cells, consistent with a greater survival potential of these cells relative to WT. These data provide a potential mechanism to account for the findings of M. Bevan and colleagues, that ligands representing a broad range of TCR affinities generated relatively similar numbers of memory T cells, despite the dramatic differences in T cell expansion at the peak of the response (3).

Inflammatory cytokines produced during an infection also increase TCR activation by sustaining phosphorylation of ZAP-70 and PLCγ (42). Since the activation of PLCγ, as well as the levels of IRF4 expression are Itk-dependent (26, 43), it is possible that factors such as cytokines may also help sustain IRF4 expression, which may lead to an overall enhancement in the SLEC response. For instance, IL-12 enhances the expression of T-bet (36), another transcription factor that positively regulates the size of the SLEC compartment (8). Since the expression of T-bet was more dependent on IRF4 following infection with Influenza A than LCMV, it is possible that IRF4 also functions to integrate signals from the TCR and cytokines to dictate the magnitude of the CD8+ T cell response.

Another transcription factor, Blimp1, also plays a central role in terminal effector cell differentiation. Blimp1-deficient CD8+ T cells have higher expression of TCF1 and Eomes transcripts and lower expression of T-bet mRNA (7, 9). Three recent studies found a role for IRF4 in Blimp-1 expression in CD8+ T cells (32, 41, 44). In our study, we find a dose-dependent effect of IRF4 levels on the expression of TCF1 and Eomes in CD8+ T cells responding to infection. These observations not only confirm our previous data that IRF4 is a negative regulator of Eomes expression (26), but also suggest that regulation of Eomes is more complex, and possibly involves multiple transcription factors functioning in a temporal manner. Taken together, these data indicate that IRF4 is a central component of this transcriptional program, and that the magnitude of IRF4 upregulation during CD8+ T cell priming is a critical determinant of the outcome of the response.

Our data also provide a potential explanation for observations regarding the variable expansion, as well as the varying kinetics, of CD8+ T cell responses to different viral epitopes. For instance, polyclonal CD8+ T cells responses to LMCV epitopes GP33 and NP396 form the dominant response, whereas those to GP276 are sub-dominant (37), suggesting that IRF4 expression is higher in the former populations. This possibility would fit with our data showing that the response of IRF4-sufficient P14 T cells in an Irf4+/fl host following LCMV infection gives the P14 cells a substantial competitive advantage over the endogenous response, compared to those same cells responding in a WT host. Due to the transient nature of IRF4 expression during T cell priming, we were unable to directly test this hypothesis on the polyclonal T cell response to LCMV. However, we did observe that the levels of TCF1, a downstream target of IRF4, were different between the different epitope-specific populations. TCF1 is also important for the conversion of Tem to Tcm cells (10). Since LCMV GP276-specific cells convert to Tcm earlier than NP396-specific cells following acute infection (38), these data are consistent with a lower level of IRF4 expression in the GP276-specific subset. In further support of this hypothesis, Irf4+/fl CD8+ T cells also convert to Tcm more rapidly than WT T cells. Thus, differences in the magnitude and/or duration of IRF4 expression may be one factor that could account for observed differences in the responses of CD8+ T cells to distinct viral epitopes. Overall, our findings, along with those of others, demonstrate that variations in the levels of IRF4 expressed during T cell priming fine-tune the size and quality of the pathogen-specific adaptive immune response.

Supplementary Material

1

Acknowledgments

We thank Dr. Stephen Waggoner, Dr. Nidhi Malhotra and Dr. Laurie Kenney and for helpful discussions and thank Stina Urban, Dr. Yves Falanga, James Conley, Regina Whitehead, Carey Zammiti and Sharlene Hubbard for technical assistance. We thank the NIH tetramer core facility for LCMV-specific (H2Db-NP396, H2Db-GP276) and Influenza A-specific (H2Kb-OVA257) monomers and the department of animal medicine at UMMS for maintaining the mouse colonies.

Footnotes

1

This work was supported by NIH grants AI84987 (LJB), AI83505 (LJB), PO1AI04630 (SLS), AI017672 (RMW) and AI081675 (RMW).

Competing Interests

The authors have no financial and non-financial competing interests to disclose.

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