Abstract
Helper T cells are critical for protective immunity, CD8+ T-cell memory, and CD4+ recall responses, but whether the same or distinct CD4+ T cells are involved in these responses has not been established. Here we describe two CD4+ T cells, LLO118 and LLO56, specific for an immunodominant Listeria monocytogenes epitope, with dramatically different responses to primary and secondary infection. Comparing in vivo responses, LLO118 T cells proliferate more strongly to primary infection, whereas surprisingly, LLO56 has a superior CD4+ recall response to secondary infection. LLO118 T cells provide more robust help for CD8+ T-cell responses to secondary infection than LLO56. We found no detectable differences in antigen sensitivity, but naive LLO118 T cells have much lower levels of CD5 and their T-cell receptor levels are dramatically down-regulated after their strong primary response. Thus, distinct CD4+ helper T cells are specialized to help either in primary or secondary responses to infection.
Keywords: infectious disease, affinity, T-cell receptor transgenic mice, apoptosis
CD4+ T cells are essential for CD8+ memory-cell formation, recall responses, and protective immunity (1–3). Despite the importance of CD4+ T cells in immune responses, studies examining T-cell responses to Listeria monocytogenes have focused primarily on CD8+ T cells (4). CD4+ T cells are not required for the primary CD8+ response to L. monocytogenes, but they play a critical role in the maintenance and survival of CD8+ memory cells (1–5). Memory cell formation is a hallmark of the adaptive immune system and successful memory cells must navigate expansion, contraction, and maintenance (6). Much more has been learned about the pathways for formation of CD8+ memory cells than CD4+ memory cells, but it is clear that the pathways for CD4+ memory formation are distinct (6–8). The parameters of optimal CD4+ help for CD8+ and CD4+ memory formation have not been characterized and represent an opportunity to effectively improve vaccines (9).
T cells with shortened exposure to antigen do not successfully differentiate to memory cells (10). In contrast, overstimulation in a situation like chronic infection leads to T-cell exhaustion and ineffective memory cell formation or persistence (11). Thus, there appears to be a “goldilocks” level of T-cell stimulation for effective memory cell formation (6). Differences in the duration or abundance of antigen presentation or costimulatory molecules alter activation levels and T-cell receptor (TCR) levels and regulators on the T cell itself affect activation levels (12). TCR affinity and thymic development can also alter T-cell antigen sensitivity (13). For example, the surface expression of one T-cell–negative regulator of T-cell activation, CD5, correlates with the affinity of that developing TCR for self peptide (14–16). The relationship between effective CD4+ responses and the avidity of the TCR:pMHC interaction is not established and a polyclonal CD4+ T-cell population is not amenable to address the issue of TCR avidity. Therefore, we have isolated T cells that respond to L. monocytogenes infection and generated two CD4+ T-cell transgenic (Tg) mouse lines specific for the same immunodominant epitope. These transgenic mice have allowed us to identify and analyze T cells that are infrequent and difficult to find in a polyclonal mouse and have also permitted unique identification of regulators/markers that may normally be missed in a polyclonal setting.
These TCR Tg mice, called LLO118 and LLO56, differ by only 15 amino acids in their TCR sequences. The mice have significantly different in vivo responses, with LLO118 responding more robustly to primary infection, whereas LLO56 has a dramatically better CD4+ recall response. Further analysis revealed that LLO56 has higher levels of CD5, causing a dampened primary response. By sorting for LLO118 cells with similar levels of CD5 as LLO56, we found a direct relationship between CD5 levels and cell proliferation in the primary response. LLO118 T cells provide better CD8+ help for secondary infections, but LLO118 T cells also have dramatic TCR down-regulation after infection, preventing an effective CD4+ recall response. These findings reveal helper T cells can specialize to perform best in a primary response, whereas others function best in the secondary response.
Results
Generation of Two CD4+ TCR Transgenic Mice Specific for L. monocytogenes.
We generated two CD4+ TCR Tg mouse lines specific for an immunodominant L. monocytogenes epitope, listeriolysin (190-205) (LLO190–205/I-Ab). The TCRs came from a panel of LLO190–205-specific T-cell hybridomas generated from L. monocytogenes infected mice. We chose two T cells (LLO118 and LLO56) with identical α and β V-region use (Vα2 and Vβ2), and which differed by only 15 amino acids in the complementarity determining regions (CDR) regions. Flow cytometry analysis of the thymus from both LLO118 and LLO56 Rag1−/− mice showed a skewing toward CD4+ SP cells (Fig. S1A). Analysis of TCR levels shows that LLO118 and LLO56 splenic T cells have identical Vα2 levels (Fig. S1B) and in the thymus and spleen there were no detectable regulatory T (Treg) cells (Fig. S1 C and D).
LLO118 Has a Significantly Stronger in Vivo Response to Primary Infection than LLO56.
To examine the in vivo responses of the two L. monocytogenes TCR Tg lines, we used an adoptive T-cell transfer system in which 3 × 103 LLO118-Ly5.1 or LLO56-Thy1.1 T cells were transferred into wild-type C57BL/6 recipient mice (17). One day later these mice were infected with 1 × 104 CFU L. monocytogenes and 7 d later the total number of transferred cells were quantified by flow cytometry. On day 7 there were significantly more LLO118 cells compared with LLO56 (Fig. 1A). This finding remained consistent when we transferred 10 times the number of cells (Fig. S2A). We assessed if the bacteria were responsible for the differences and found the same pattern when stimulating in vivo with the peptide in complete Freund’s adjuvant (Fig. S2B). We did not see inherent proliferative capacity differences; neither T cell had substantial levels of homeostatic proliferation, as has been observed for many TCR Tg lines (Fig. S3). Thus, LLO118 T cells respond more robustly to a primary infection or peptide stimulation in vivo compared with LLO56 T cells.
LLO56 Has a Stronger CD4+ Recall Response to Secondary Infection than LLO118.
To examine the CD4+ cell recall response of LLO118 and LLO56, T-cell recipient mice were given a secondary infection of L. monocytogenes 35 d after the primary infection and on day 39 cell numbers were determined by flow cytometry. In marked contrast to what was observed in the primary response, we found that LLO56 had a much larger recall response than LLO118 T cells (Fig. 1B). The same pattern was also seen at day 6 after rechallenge (Fig. S4A). To ascertain whether this difference is a reflection of lower cell numbers generated in the primary response, we increased the number of CD4+ cells transferred to 3 × 104 and saw the same result (Fig. S4B). To determine if the recall differences involved competition for antigen, 3 × 103 LLO118 and 3 × 103 LLO56 cells were cotransferred into the same mouse. The same experimental procedure was followed and analysis of the cotransfered mice yielded equivalent results (Fig. S4C). To eliminate the possibility that the LLO56 recall response was the result of some indirect effect involving where the TCR transgene integrated, we performed the primary and recall experiments with a second LLO56 transgenic mouse line and the results were identical to the first mouse line (Fig. S5). Therefore, in a secondary recall response to L. monocytogenes, the LLO56 T cells unexpectedly responded much stronger than LLO118 T cells.
LLO118 Has Greater Magnitude of Proliferation in the Primary Response.
To examine proliferation kinetics, cell numbers were tracked the first 10 d after infection. On day 4, both LLO118 and LLO56 had similar numbers of expanded cells, but by day 6 and 8 LLO118 had proliferated much more strongly than LLO56 (Fig. S6). LLO56 and LLO118 cell numbers returned near baseline by day 10. Thus, expansion and contraction kinetics are similar, but the magnitude of LLO118 proliferation is significantly more than LLO56 after L. monocytogenes infection.
LLO118 and LLO56 Have Identical in Vitro Proliferative Responses to Peptide and Infection.
We wondered if the dramatic differences in the primary responses of these T cells were a result of differences in sensitivity to antigen. To address this theory, we performed experiments to examine the in vitro response to peptide stimulation. LLO118 or LLO56 splenocytes were stimulated by the LLO190–205 peptide and they had identical peptide sensitivity in vitro (Fig. S7A). We then examined the response of LLO118 and LLO56 to L. monocytogenes infection. Purified CD4+ T cells were stimulated by spleenocytes that had been infected by L. monocytogenes and LLO118 and LLO56 had identical proliferative responses (Fig. S7B). Thus, T cells from LLO118 and LLO56 respond identically to in vitro stimulation by peptide or bacteria, showing no differences in antigen sensitivity.
LLO118 Has Much Lower Levels of CD5 than LLO56.
To understand why there was such a contrast in the magnitude of proliferation in the primary response, we examine a panel of T-cell surface markers before infection. LLO118 and LLO56 had dramatically different levels of CD5 and LLO118 had slightly higher levels of TCR before L. monocytogenes infection, whereas they had similar levels of cell-surface markers for the other markers we examined (Fig. 2 and Fig. S8A). Because CD5 is a negative regulator of T-cell activation, we determined that this was an important difference to understand. To address this finding, we measured CD5 levels over the course of 35 d after L. monocytogenes infection. After stimulation, LLO118 CD5 levels increased at days 5 and 8 to levels similar to LLO56 and by day 12 their levels were identical (Fig. S8B). Thus, LLO118 T cells have lower levels of CD5 initially and then increase for the first 12 d after activation, but by 12 d postinfection their CD5 levels remain identical to LLO56.
CD5low T Cells Respond Best in a Primary Response.
We wondered how the CD5 levels of LLO118 and LLO56 compared with the T-cell population of a C57BL/6 mouse. An overlay of LLO118 and LLO56 shows that the CD5 levels of LLO118 were at the lower end of the population and that LLO56 was at the high end (Fig. 3A). We reasoned the high level of LLO118 proliferation could be because of the low levels of CD5. To test this theory, we sorted LLO118 T cells with standard “low” levels of CD5 and also a population with “high” levels of CD5 (LLO118 CD5hi). We also sorted LLO56 T cells with standard “high” levels of CD5 that were equivalent to the LLO118 CD5hi population (LLO56 CD5hi) (Fig. 3B). These sorted cells were cotransferred (LLO118 CD5hi and LLO56 CD5hi) and the recipient mice were infected with L. monocytogenes and cell numbers for the various populations were analyzed 8 d postinfection. Comparison of LLO118 and LLO56 with standard levels of CD5 showed the same pattern of LLO118 proliferating much better than LLO56 (Fig. 3C). When we compared LLO118 CD5hi and LLO56 CD5hi T cells (identical levels of CD5) they proliferated to a similar extent (Fig. 3C). Analysis of the recall response of LLO118 CD5hi and LLO56 CD5hi T cells showed the same divergent response as seen with LLO118 and LLO56 T cells (Fig. 3D), revealing that CD5 plays a critical role in the primary response but not the secondary response.
LLO118 Generates a Better CD8+ Recall Response than LLO56.
CD4+ T cells are essential for the generation of CD8+ secondary responses to L. monocytogenes and we wondered which of the CD4+ T cells would provide better CD8+ help; LLO118 that has a higher level of proliferation after a primary infection, or LLO56, which has a better secondary response. Because there have not been immunodominant CD8+ epitopes identified in H-2b mice for L. monocytogenes, we used the L. monocytogenes ovalbumen (OVA) system to evaluate the ability to LLO118 and LLO56 to help expand CD8+ T cells (18). We transferred 5 × 105 CD8+ T cells from a class II-deficient host into T-cell–deficient mice (TCR-Cα−/− mice) along with 3 × 103 LLO118, 3 × 103 LLO56, or no CD4+ T cells. Mice received a primary infection (1 × 103 CFU) and 35 d later a secondary infection (1 × 105 CFU). We measured the level of CD8+ T cells in blood using the OVA-Kb tetramer. There was no difference in the number of CD8+ cells after the primary infection and in the first 35 d, but 4 d after the secondary infection we found the addition of LLO118 CD4+ cells significantly increased the CD8 recall response compared with LLO56 (Fig. 4A). Thus, the better primary LLO118 CD4+ response helps generate a better secondary CD8+ response.
LLO56 Cells Have Higher Levels of Annexin V Staining in Primary Response.
We wondered why LLO118 T cells provide better T-cell help to CD8 cells. To address this question, we injected 3 × 104 T cells and examined them for 35 d postinfection and found that LLO56 T cells have fewer T cells in the primary response and at day 35 LLO56 has only slightly more cells than LLO118 (Fig. 4B). Because early timepoints are critical for T-cell help, we checked to see if LLO118 or LLO56 had differences in cytokine production. Measurements of intracellular IFN-γ and IL-2 showed that at day 7 LLO118 and LLO56 had the same per cell production levels (Fig. 4C). We also wondered if there were differences in cell survival. Analysis of early apoptosis levels by Annexin V staining at day 7 showed LLO56 cells had significantly higher levels of apoptosis compared with LLO118 (Fig. 4D). Thus, the significant T-cell help response appears to be a result of differences in T-cell numbers (ability to provide costimulation and more total cytokine production) that are a result of cell survival differences between LLO118 and LLO56.
LLO118 TCR Levels Are Dramatically Down-Regulated After Primary Infection.
We wondered, why do the LLO118 T cells respond poorly in comparison with LLO56 in a secondary challenge? We analyzed numerous T-cell surface markers on LLO118 T cells at day 35 and, surprisingly, we found that most surface markers were identical, but LLO118 had dramatically lower TCR levels compared with LLO56 (Fig. 5 and Fig. S9). This finding is in contrast to the identical levels measured before exposure to L. monocytogenes (Fig. 2).
TCR levels were measured over 35 d after infection and, starting on day 8, LLO118 TCR levels dramatically decreased and remained lower than LLO56 (Fig. 5B). We also measured TCR levels after the rechallenge and found the same phenotype: LLO56 has much higher levels of TCR compared with LLO118 (Fig. S9B). Decreased TCR levels have been shown to correlate with diminished responses to antigen (19) and are the likely cause for the poor LLO118 secondary response. To make sure TCR down-regulation was not affected by the LLO118 TCR integration site, we used a separate LLO118 transgenic mouse and confirmed that the same primary response and TCR down-regulation was seen (Fig. S10). Thus, the LLO118 T cells that have a poor recall response have down-regulated TCR levels. This finding is intriguing compared with the previous in vivo result of LLO118 responding better to a primary infection. A lower initial response for LLO56 provides a better environment for a more robust recall response. A strong initial proliferation, such as LLO118, results in a better CD8+ recall response, but a decreased CD4+ recall because of down-regulated TCR levels.
Discussion
An unresolved question is what characteristics of CD4+ T cells provide optimal CD8+ and CD4+ memory. Using TCR Tg mice specific for an immunodominant L. monocytogenes epitope and physiological levels of transferred T cells provides a unique means for understanding of the characteristics for CD8+ and CD4+ memory formation. When examining CD4+ memory, unnaturally high levels of transferred cells can lead to anomalous results (20). In our experiments the estimated “parked” T-cell population, ∼300 epitope specific cells, is within the normal physiological range for a mouse and have revealed helper T cells can specialize to perform best in a primary response, whereas others function best in the secondary response.
LLO56 has markedly higher levels of CD5 compared with LLO118, resulting in a dampened primary response and more robust CD4+ recall responses. During thymic development CD5 is a negative regulator of TCR signal transduction, and thymocytes with high affinity for self-antigen up-regulate CD5 expression (14). Cell-surface expression of CD5 is proportional to TCR signaling capacity for self-peptide MHC and CD5 acts to fine-tune the T-cell response (14, 21). High levels of CD5 are associated with resistance to activation in peripheral T cells and blocking CD5 restores their responsiveness (22). The negative regulatory ability of CD5 has also been shown to play a critical role in preventing hyper-proliferation and activation-induced cell death (AICD) when examining CD8+ T cells in a tumor model and in CD4+ and CD8+ cells in experimental autoimmune encephalomyelitis (23–25). We find that CD5 does prevent hyperproliferation in LLO56 and possibly AICD at later stages. Surprisingly we also find higher levels of Annexin V-expressing LLO56 cells at day 7 postinfection. Recent work has shown that the level of T-cell apoptosis in primary responses is more complex, involving the T-cell affinity for antigen in a critical balance with Mcl-1, Bim, and Noxa proteins (26). Developing CD5-deficient LLO118 and LLO56 mice and analyzing their primary and secondary responses to L. monocytogenes infection will allow this question to be more fully addressed.
The strong primary response by LLO118 results in prolonged TCR down-regulation and poor CD4+ memory cell formation. T-cell exhaustion is common in situations of chronic exposure to antigen, but in immunocompetent mice L. monocytogenes is rapidly cleared (27). Although LLO118 cells do have slight up-regulation of PD-1 and CTLA-4, they do not exhibit classic signs of exhaustion, such as dramatically increased levels of PD-1 (28). LLO118 T cells have TCR levels that are down-regulated significantly and for an extended period. In the case of LLO118, the strong primary response to L. monocytogenes leads to T-cell dysfunction, sustained TCR down-regulation, and inhibited CD4+ memory cell formation. T-cell help is critical for the maintenance of CD8+ memory cells and T-cell help is generated by the T-cell interactions with the CD8+ cells over the course of the primary response. Interestingly, we found that LLO118 is better at providing help not because individual cells are producing more cytokines, but because there are more cells in the population and the total amount of cytokine production and costimulation is increased because of the increased cell survival in the primary response. The greater number of LLO118 T cells produce identical levels of cytokines on a per cell level and can provide better CD8+ help in the maintenance phase.
Work done using CD8+ T cells has found that T cells with low affinity to antigen proliferate and generate effector and memory cells, but their expansion stops at earlier time points (13). Using a 2D binding assay, CD4+ T cells too weak to be stained by peptide-MHC tetramers were as prevalent as high-affinity responders in polyclonal responses (29). CD4+ cells with reduced levels of Lck and decreased functional avidity actually had better memory CD4+ responses to chronic antigen (30). These studies provide evidence that both CD8+ and CD4+ with differing affinities can expand to in response to infection.
In summary, we find that LLO56 T cells expand worse than LLO118 T cells in a primary response, but are actually better at generating CD4+ memory. A robust primary response provides the best CD8+ recall response, whereas a moderate primary response results in the best CD4+ memory cell generation. Thus, helper T cells can specialize to work best in a primary or the secondary response, potentially providing improved immunity. These findings shed new light on the role of CD4+ T cells in primary and secondary responses to infectious disease and provide a new avenue to consider in vaccine design.
Materials and Methods
Mice.
The LLO118 and LLO56 TCR Tg lines, specific listeriolysin (190-205) (LLO190–205/I-Ab), were made from T-cell hybridomas generated from L. monocytogenes infected mice. LLO118 and LLO56 have identical α and β V region use (Vα2 and Vβ2), which differed by only 15 amino acids (Table 1): one in the CDR3 region of the α chain; 10 of them span the CDR3 region of the β chain; three of them reside between the CDR3 and the constant region of the β chain; and one is in the CDR2 region of the β chain (the origin of which is unclear because it is not germ-line encoded).
Table 1.
CDR3 Vα | CDR3 Vβ | CDR2 Vβ | |
LLO118 | A A S D T G N Y K Y V | T C S G G G I S Q N T L Y F G A G T R L S V L | L R S P G D |
LLO56 | A A K D T G N Y K Y V | T C S - - - - A D V G V F F G K G T R L T V V | L R N P G D |
Boldface indicates differing amino acids in each region.
See SI Materials and Methods for the details of transgenic mouse generation.
Class II−/− mice and T-cell–deficient (Cα−/−) mice are on a C57BL/6 background and were purchased from The Jackson Laboratory. Experiments were started when mice were 5–8 wk of age. All mice were bred and housed in specific pathogen-free conditions of the animal facility at the Washington University Medical Center. All of the use of laboratory animals was approved and done in accordance with the Washington University Division of Comparative Medicine guidelines.
Bacterial Infections.
The L. monocytogenes strain 1043S used in this study was generously provided by D. Portnoy (University of California, Berkeley, CA). For details of L. monocytogenes preparation, see SI Materials and Methods.
Proliferation Measurements and Adoptive Transfer of T Cells.
Flow Cytometry.
All samples were analyzed on BD FACSCalibur, BD FACSCanto, or BD LSR II cytometers and data were analyzed with FlowJo software (TreeStar). Sample from in vivo studies were prepared using the previously published protocol for low frequency adoptive transfers (17). See SI Materials and Methods for antibody details.
Intracellular Cytokine Assay.
Statistics.
All data were analyzed by the unpaired two-tailed Student t test using Prism 4 software (GraphPad). P values of less than 0.05 were considered significant.
Supplementary Material
Acknowledgments
We thank Arup Chakraborty, Michael Dustin, Andrey Shaw, Mehran Kardar, Daniel Portnoy, Alan Perelson, Eric Pamer (members of the Immune Response Consortium), and members of their laboratories for helpful discussions and advice regarding the project; Emil Unanue and his laboratory for generously providing the LLO118 and LLO56 hybridomas; Nelida Prado for helping generate transgenic mice; Jennifer Racz and David Donnermeyer for help with experiments; Darren Kreamalmeyer for maintaining the mouse colony; Stephen Horvath for peptide synthesis and purification; and Yina Huang and Brian Edelson for critical reading of the manuscript. This work was supported by National Institutes of Health Grant P01 AI071195 and National Institutes of Health Grant U54 AI057160 to the Midwest Regional Center of Excellence for Biodefense and Emerging Infectious Diseases Research.
Footnotes
The authors declare no conflict of interest.
This article is a PNAS Direct Submission.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1202408109/-/DCSupplemental.
References
- 1.Sun JC, Bevan MJ. Defective CD8 T cell memory following acute infection without CD4 T cell help. Science. 2003;300:339–342. doi: 10.1126/science.1083317. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Shedlock DJ, Shen H. Requirement for CD4 T cell help in generating functional CD8 T cell memory. Science. 2003;300:337–339. doi: 10.1126/science.1082305. [DOI] [PubMed] [Google Scholar]
- 3.Janssen EM, et al. CD4+ T cells are required for secondary expansion and memory in CD8+ T lymphocytes. Nature. 2003;421:852–856. doi: 10.1038/nature01441. [DOI] [PubMed] [Google Scholar]
- 4.Pamer EG. Immune responses to Listeria monocytogenes. Nat Rev Immunol. 2004;4:812–823. doi: 10.1038/nri1461. [DOI] [PubMed] [Google Scholar]
- 5.Sun JC, Williams MA, Bevan MJ. CD4+ T cells are required for the maintenance, not programming, of memory CD8+ T cells after acute infection. Nat Immunol. 2004;5:927–933. doi: 10.1038/ni1105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Jameson SC, Masopust D. Diversity in T cell memory: An embarrassment of riches. Immunity. 2009;31:859–871. doi: 10.1016/j.immuni.2009.11.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Lees JR, Farber DL. Generation, persistence and plasticity of CD4 T-cell memories. Immunology. 2010;130:463–470. doi: 10.1111/j.1365-2567.2010.03288.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.van Leeuwen EM, Sprent J, Surh CD. Generation and maintenance of memory CD4(+) T Cells. Curr Opin Immunol. 2009;21:167–172. doi: 10.1016/j.coi.2009.02.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Kim C, Williams MA. Nature and nurture: T-cell receptor-dependent and T-cell receptor-independent differentiation cues in the selection of the memory T-cell pool. Immunology. 2010;131:310–317. doi: 10.1111/j.1365-2567.2010.03338.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Williams MA, Bevan MJ. Shortening the infectious period does not alter expansion of CD8 T cells but diminishes their capacity to differentiate into memory cells. J Immunol. 2004;173:6694–6702. doi: 10.4049/jimmunol.173.11.6694. [DOI] [PubMed] [Google Scholar]
- 11.Williams MA, Ravkov EV, Bevan MJ. Rapid culling of the CD4+ T cell repertoire in the transition from effector to memory. Immunity. 2008;28:533–545. doi: 10.1016/j.immuni.2008.02.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Utzny C, Coombs D, Müller S, Valitutti S. Analysis of peptide/MHC-induced TCR downregulation: Deciphering the triggering kinetics. Cell Biochem Biophys. 2006;46:101–111. doi: 10.1385/CBB:46:2:101. [DOI] [PubMed] [Google Scholar]
- 13.Zehn D, Lee SY, Bevan MJ. Complete but curtailed T-cell response to very low-affinity antigen. Nature. 2009;458:211–214. doi: 10.1038/nature07657. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Azzam HS, et al. CD5 expression is developmentally regulated by T cell receptor (TCR) signals and TCR avidity. J Exp Med. 1998;188:2301–2311. doi: 10.1084/jem.188.12.2301. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Azzam HS, et al. Fine tuning of TCR signaling by CD5. J Immunol. 2001;166:5464–5472. doi: 10.4049/jimmunol.166.9.5464. [DOI] [PubMed] [Google Scholar]
- 16.Brown MH, Lacey E. A ligand for CD5 is CD5. J Immunol. 2010;185:6068–6074. doi: 10.4049/jimmunol.0903823. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Moon JJ, et al. Tracking epitope-specific T cells. Nat Protoc. 2009;4:565–581. doi: 10.1038/nprot.2009.9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Carbone FR, Bevan MJ. Induction of ovalbumin-specific cytotoxic T cells by in vivo peptide immunization. J Exp Med. 1989;169:603–612. doi: 10.1084/jem.169.3.603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Viola A, Lanzavecchia A. T cell activation determined by T cell receptor number and tunable thresholds. Science. 1996;273:104–106. doi: 10.1126/science.273.5271.104. [DOI] [PubMed] [Google Scholar]
- 20.Hataye J, Moon JJ, Khoruts A, Reilly C, Jenkins MK. Naive and memory CD4+ T cell survival controlled by clonal abundance. Science. 2006;312:114–116. doi: 10.1126/science.1124228. [DOI] [PubMed] [Google Scholar]
- 21.Zhao C, Davies JD. A peripheral CD4+ T cell precursor for naive, memory, and regulatory T cells. J Exp Med. 2010;207:2883–2894. doi: 10.1084/jem.20100598. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Hawiger D, Masilamani RF, Bettelli E, Kuchroo VK, Nussenzweig MC. Immunological unresponsiveness characterized by increased expression of CD5 on peripheral T cells induced by dendritic cells in vivo. Immunity. 2004;20:695–705. doi: 10.1016/j.immuni.2004.05.002. [DOI] [PubMed] [Google Scholar]
- 23.Axtell RC, Xu L, Barnum SR, Raman C. CD5-CK2 binding/activation-deficient mice are resistant to experimental autoimmune encephalomyelitis: Protection is associated with diminished populations of IL-17-expressing T cells in the central nervous system. J Immunol. 2006;177:8542–8549. doi: 10.4049/jimmunol.177.12.8542. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Tabbekh M, et al. Rescue of tumor-infiltrating lymphocytes from activation-induced cell death enhances the antitumor CTL response in CD5-deficient mice. J Immunol. 2011;187:102–109. doi: 10.4049/jimmunol.1004145. [DOI] [PubMed] [Google Scholar]
- 25.Friedlein G, et al. Human CD5 protects circulating tumor antigen-specific CTL from tumor-mediated activation-induced cell death. J Immunol. 2007;178:6821–6827. doi: 10.4049/jimmunol.178.11.6821. [DOI] [PubMed] [Google Scholar]
- 26.Wensveen FM, et al. Apoptosis threshold set by Noxa and Mcl-1 after T cell activation regulates competitive selection of high-affinity clones. Immunity. 2010;32:754–765. doi: 10.1016/j.immuni.2010.06.005. [DOI] [PubMed] [Google Scholar]
- 27.Buchmeier NA, Schreiber RD. Requirement of endogenous interferon-gamma production for resolution of Listeria monocytogenes infection. Proc Natl Acad Sci USA. 1985;82:7404–7408. doi: 10.1073/pnas.82.21.7404. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Han S, Asoyan A, Rabenstein H, Nakano N, Obst R. Role of antigen persistence and dose for CD4+ T-cell exhaustion and recovery. Proc Natl Acad Sci USA. 2010;107:20453–20458. doi: 10.1073/pnas.1008437107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Sabatino JJ, Jr, Huang J, Zhu C, Evavold BD. High prevalence of low affinity peptide-MHC II tetramer-negative effectors during polyclonal CD4+ T cell responses. J Exp Med. 2011;208:81–90. doi: 10.1084/jem.20101574. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Caserta S, Kleczkowska J, Mondino A, Zamoyska R. Reduced functional avidity promotes central and effector memory CD4 T cell responses to tumor-associated antigens. J Immunol. 2010;185:6545–6554. doi: 10.4049/jimmunol.1001867. [DOI] [PubMed] [Google Scholar]
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