Abstract
The immunodominant, CD8+ cytotoxic T lymphocyte (CTL) response to the HLA-B8-restricted peptide, RAKFKQLL, located in the Epstein–Barr virus immediate-early antigen, BZLF1, is characterized by a diverse T cell receptor (TCR) repertoire. Here, we show that this diversity can be partitioned on the basis of crossreactive cytotoxicity patterns involving the recognition of a self peptide—RSKFRQIV—located in a serine/threonine kinase and a bacterial peptide—RRKYKQII—located in Staphylococcus aureus replication initiation protein. Thus CTL clones that recognized the viral, self, and bacterial peptides expressed a highly restricted αβ TCR phenotype. The CTL clones that recognized viral and self peptides were more oligoclonal, whereas clones that strictly recognized the viral peptide displayed a diverse TCR profile. Interestingly, the self and bacterial peptides equally were substantially less effective than the cognate viral peptide in sensitizing target cell lysis, and also resulted only in a weak reactivation of memory CTLs in limiting dilution assays, whereas the cognate peptide was highly immunogenic. The described crossreactions show that human antiviral, CD8+ CTL responses can be shaped by peptide ligands derived from autoantigens and environmental bacterial antigens, thereby providing a firm structural basis for molecular mimicry involving class I-restricted CTLs in the pathogenesis of autoimmune disease.
Epstein–Barr virus (EBV), a human gamma herpesvirus, achieves its ubiquitous distribution by a dual strategy of latency to guarantee life-long persistence and intermittent replication to ensure transmission. The probable site of viral latency is a reservoir of circulating B cells, whereas the source of infectious virus in the oropharynx is most likely reliant on an episodic supply of virus from permissively infected B cells infiltrating the mucosal epithelium (1, 2). Different forms of viral latency can be distinguished on the basis of particular patterns of virus latent gene expression (3). For instance, EBV can infect and transform B cells to grow continuously in vitro as lymphoblastoid cell lines (LCLs) that express the full array of the immunogenic latency proteins including EBV nuclear antigens 1–6 and latent membrane proteins 1 and 2. Transformed B cells with similar viral antigen expression represent EBV-associated polyclonal lymphomas in immunocompromised individuals (4). By contrast, it is thought that EBV persists latently in vivo in resting B cells that only express latent membrane protein 2A and remain immunologically silent through lack of expression of the costimulatory molecule B7 (5). The successful coexistence with its host of the most potent transforming virus known is considered to be due to immunosurveillance by cytotoxic T lymphocytes (CTLs) in controlling the outgrowth of virus transformed B cells, and limiting viral replication, but without unduly compromising viral transmission (reviewed in ref. 6). A primary infection with EBV can result in the self-limiting, lymphoproliferative disease acute infectious mononucleosis. A substantial proportion of the in vivo activated CD8+ T cells recognize peptide epitopes in viral proteins associated with latency and replication (7, 8), and there is now compelling evidence that imprinting of the memory T cell repertoire can occur during primary viral or bacterial infection and remain stable over time (8–11).
Diversity within the T cell repertoire can be estimated by analyzing the distribution of T cell receptor (TCR) rearrangements. The clonally distributed αβ TCR heterodimer that interacts with the major histocompatibility complex (MHC)-peptide complex presented on the surface of target cells is generated through somatic recombination of variable (V; TCRAV and TCRVB), diversity (D; TCRBD), and joining (J; TCRAJ and TCRBJ) gene segments during T cell ontogeny (12). Additional repertoire diversity is created by the imprecise joining of the different gene segments and the quasirandom insertion or deletion of nucleotides at the V-(D)-J junctional regions that span the complementarity determining region 3 (CDR3), a region of high variability in length and codon usage that makes direct contact with self and foreign peptide ligands (13, 14). The majority of CTL epitopes that have been mapped to the latent EBV nuclear antigen and latent membrane proteins, and immediate early and early lytic cycle proteins, in primary and persistent infection, are recognized by CD8+, class I-restricted CTLs (6), and clonal expansions in response to individual epitopes have involved the selection of highly restricted or diverse TCR repertoires (15, 16). On the other hand, a single TCR can interact with multiple peptide ligands that share, for instance, a specific motif, limited linear sequence homology or no obvious structural homology (17, 18). This aptitude for crossreactive recognition forms in essence the basis of the molecular mimicry hypothesis in which it is proposed that the sharing, in structure or sequence, of peptides between microbes and host proteins can trigger the activation of antimicrobial, antiself T cells that can initiate and/or perpetuate autoimmune disease (19, 20). Alternatively, autoreactivity could be induced as an outcome of bystander activation of antiself T cells during an inflammatory response to a microbial infection (21). There is no longer a difficulty in explaining the presence of potentially autoreactive T cells in the periphery as they appear to be a normal consequence of positive selection in the thymus and are kept in control by peripheral tolerance (22–24). However, the breaking of tolerance in bystander activation could occur as an outcome of an abundant release of cytokines/autoantigens during inflammation and tissue damage, and in molecular mimicry by an increased propensity of activated antimicrobial T cells to respond to low affinity self peptide mimics (25, 26).
It is likely that EBV-infected B cells are a continual source of replicating virus throughout life-long infection (1). The pivotal switch from latency to virus replication in B cells involves the induction of the immediate-early BZLF1 gene (27), and Epstein–Barr virus immediate-early antigen, BZLF1 (also termed ZEBRA or Zta) protein has been detected in productively infected B cells during primary infection (28). Of interest, B cells from healthy virus carriers expressed BZLF1 transcripts, but not BZLF1 protein, suggesting that cells undergoing the early stages of viral replication might be continually eliminated by BZLF1-specific CTLs. Certainly the high CTL precursor frequencies to the BZLF1-encoded epitope, RAKFKQLL (residues 190–197; referred to as RAK hereafter) (29) that are maintained in the peripheral blood of healthy, HLA-B8+ virus carriers could be an outcome of repeated antigen exposure (7, 30). Furthermore, the selection of diverse RAK-reactive clonotypes, in the presence of abundant antigen presentation, may indicate a low affinity TCR response that is sensitive to crossreactions with multiple peptide ligands. To investigate this possibility, we initiated a study in which RAK-reactive CTL clones were used as effectors against target cells displaying peptide homologues derived from known human pathogens or putative autoantigens. Such potentially crossreactive homologues were identified on the basis of a combination of their primary sequence similarities with the BZLF1-derived peptide, RAK, and the peptide binding motif for the restricting HLA-B8 allele (31) by searching the SwissProt database. Similar principles have been used successfully to identify peptide mimics in microbial antigens or autoantigens on the basis of structural similarity or linear sequence homology (20, 32). While there has been a general tendency to implicate MHC class II-restricted crossreactive peptides in the activation of autoreactive T cells (33), there are no a priori reasons for excluding a possible involvement of class I-restricted peptides in the pathogenesis of autoimmune disease. We show herein that individual MHC class I-restricted CTL clones can recognize peptide ligands, sharing linear peptide homology, from viral, bacterial, and self proteins. Moreover, multiple clones that were involved in this “three-way” molecular mimicry expressed a dominant αβ TCR phenotype. These findings raise interesting issues about the possible role of CD8+ T cells in autoimmune disease, and the significance of self and microbial peptide ligands in shaping the peripheral T cell repertoire.
MATERIALS AND METHODS
Cell Donors and Cell Lines.
Blood samples were taken from three healthy HLA-B8+ long-term virus carriers, SP, LC, and MM. Autologous LCLs were established from donor SP and an HLA-A1/B8 homozygous donor BM by transformation of B cells with exogenous type A EBV (QIMR-WIL isolate). LCLs were routinely maintained in growth medium consisting of RPMI 1640 medium, 2 mM glutamine, 100 units/ml penicillin, 100 μg/ml streptomycin, and 10% (vol/vol) heat-inactivated fetal bovine serum. Phytohemagglutinin (PHA) blasts were generated from donors SP, LC, MM, and BM as described (34).
Selection and Synthesis of Peptides.
Peptide homologues were identified on the basis of a combination of their primary sequence similarities with the BZLF1-derived peptide, RAK, and the peptide binding motif for HLA-B8 by searching the SwissProt database using the motif, X-X-[KR]-[FY]-[KR]-[QN]-[LIVM]-[LIVM]; amino acid sequence is denoted in standard single letter code, where X represents any amino acid. Seven peptide homologues used in the present study were selected from a vast pool of identified sequences on the basis of whether they were derived from known human pathogens or putative autoantigens. All selected peptides were purchased from Chiron Technologies (Melbourne, Australia).
Agar Cloning of T Cells.
Peripheral blood mononuclear cells (PBMCs) from donor SP were activated by stimulation with the γ-irradiated (80 Gy) autologous LCL or an LCL from the HLA-A1/B8 homozygous individual BM at a stimulator/responder cell ratio of 1:20, and T cell clones were generated as described (35). Clones were maintained in growth medium containing recombinant interleukin 2 (Chiron Technologies) and were routinely immunophenotyped for CD3, CD4, and CD8 markers as described (34).
Cytotoxicity Assay.
CD8+ RAK-reactive CTL clones from donor SP were used as effectors against PHA blasts pulsed with the appropriate peptide (100 μg/ml, 0.2 ml). Target cells, with or without peptide, were incubated with 100 μCi (1 Ci = 37 GBq) of 51Cr at 37°C for 90 min, washed twice by centrifugation, and used in standard 4-h 51Cr-release assays.
Limiting Dilution Analysis.
The memory CTL precursor frequencies to the peptides, RAK, RSKFRQIV (residues 156–163; referred to as RSK hereafter), and RRKYKQII (residues 269–276; referred to as RRK hereafter), were quantified by using limiting dilution analysis as described (34).
Amplification and Sequencing of Rearranged TCR α and β Sequences.
TCR α rearranged sequences were amplified with one of 32 5′ TCRAV family-specific oligonucleotides (Vα1–32) and a 3′ TCRAC(Cα) constant primer. Amplification conditions were the same as those described (16) except that annealing was performed at 55°C. The oligonucleotides Vα1–12/Vα17–18/Cα and Vα13–16/Vα22–29/Vα32 were synthesized according to Davies et al. (36) and Steinle et al. (37), respectively. The Vα15, 16, and 17 primers reported previously (36) were reassigned to Vα19, 20, and 21, respectively, in accordance with the new nomenclature (38). TCRAV families 30 and 31 were amplified with the following oligonucleotides: Vα30, 5′-CTTCACCCTGTATTCAGCTGGG-3′; Vα31, 5′-CTGCAGCTTCTTCAGAGAGAGACAATGG-3′. TCR β rearranged sequences were amplified as detailed (16). TCRBV25 was amplified under the conditions described (16) with the following oligonucleotide: Vβ25, 5′-AACAGGTCCTGAAAAACGAGTTCAA-3′. The amplified TCRβ and TCRα sequences were purified and sequenced as reported (16).
RESULTS AND DISCUSSION
CD8+ (>99% purity), RAK-reactive CTL clones were generated from an HLA-B8+ healthy virus carrier, SP. Remarkably, clones were identified that also crossreacted with two of the peptide homologues, RSK from a human serine/threonine kinase (GenBank accession P27448) and RRK from Staphylococcus aureus replication initiation protein (GenBank accession P14490). The 51Cr-release data in Fig. 1 show the cytotoxicity profiles of three clones responding to HLA-B8+ PHA-blasts pulsed with selected peptide homologues. Three crossreactivity patterns were distinguished: (i) clone SP42 strongly lysed targets pulsed with RAK, RSK, or RRK peptides (referred to as triple peptide-reactive clones hereafter), (ii) clone SP35 recognized both the RAK and RSK peptides (referred to as double peptide-reactive clones hereafter), and (iii) clone SP28 stringently lysed targets pulsed with the RAK peptide (referred to as single peptide-reactive clones hereafter).
The discovery of a potential self peptide that might be involved in positive selection of a subpopulation of RAK-reactive CTLs prompted a more detailed study of these crossreactions in donor SP. An analysis of 220 CD8+, RAK-reactive CTL clones provided estimates of the abundance of clones belonging to each of the crossreactivity groups. A predominant number of clones (52.7%) were single peptide-reactive, 36.8% of the clones were double peptide-reactive, and 10.5% were triple peptide-reactive. The fine specificities of 10 representative clones from each group are shown in Fig. 2 a–c. The EBV nuclear antigen 3-encoded, HLA-B8-restricted peptides, FLRGRAYGL and QAKWRLQTL, included in each 51Cr-release assay as specificity controls, were not recognized by the RAK-reactive clones. The abundance and specificity of the crossreactive clones made it highly unlikely that they were “forbidden” clones or expressed degenerate TCR recognition. Instead, it is more likely that they represent a subpopulation of potentially autoreactive T cells normally found in the periphery as an outcome of intrathymic positive selection (23, 24, 39). There is good evidence that positive selection of the mature T cell peripheral repertoire is based on low-avidity interactions between the αβ TCR on thymocytes and self peptide ligands presented by MHC molecules expressed on thymic stromal cells (24). In the periphery, these autoreactive T cells would only be weakly-reactive to self peptides because the avidity required for TCR activation during positive selection of thymocytes evidently is lower than that required for TCR activation during the recognition of antigen by mature T cells. These constraints on autoreactivity can obviously be circumvented by activating CTLs in vitro with the cognate peptide or in vivo after an appropriate infection.
To gain insight into the affinity properties of the RAK, RSK, and RRK peptides, we characterized their ability to sensitize target cell lysis by testing representative clones selected from each of the crossreactivity groups for their response to varying concentrations of peptides. The peptide titration results in Fig. 3 a–c show that the RAK peptide was substantially more effective than the RSK and RRK peptides in sensitizing targets to lysis, and that all clonotypes were virtually equally effective in the lysis of RAK-sensitized targets. However, the RSK and RRK peptide concentrations required for optimal target sensitization was 20- to 30-fold higher than for the RAK peptide. Another difference in peptide recognition was reflected at the level of inhibition of lysis with anti-class I mAb as lysis of targets pulsed with RSK or RRK peptide was considerably more sensitive to inhibition than targets pulsed with the RAK peptide (I.S.M., unpublished data). The simplest explanation for these differences is that both the self and bacterial peptides behave as low-affinity ligands for the TCR expressed by the RAK-reactive CTLs.
The weaker cytotoxic responses obtained with limiting concentrations of RSK and RRK peptides indicated that these homologues also might behave differently to the cognate peptide at the level of activation of memory CTLs, as has been observed with altered peptide ligands (reviewed in ref. 40). Accordingly, the precursor frequencies of memory CTLs responding to the RAK, RSK, and RRK peptides were estimated by limiting dilution analysis of PBMCs from three HLA-B8+, healthy virus carriers. The limiting dilution analysis outcomes for donors SP, LC, and MM are shown in Fig. 4 a, b, and c, respectively. Clearly, all RAK peptide-stimulated cultures showed high precursor frequencies of CTLs that recognized RAK, RSK, or RRK peptide, and, invariably, the highest frequencies were associated with recognition of the RAK peptide and the lowest with the RRK peptide. This hierarchy confirmed the clonal CTL findings in donor SP. An analysis of individual microcultures at the lower responder cell levels also provided evidence of triple peptide-, double peptide-, and single peptide-reactive CTL precursors (data not shown). By contrast, considerably weaker frequencies were detected in the RSK peptide- and RRK peptide-stimulated cultures, indicating that these peptides were poorly immunogenic in activating memory T cells. We verified that the RSK peptide sequence is present in the genomic DNA derived from the autologous LCL of donor SP (I.S.M. and S.C., unpublished data), although it is not known whether this self peptide is processed or presented naturally. Nevertheless, in theory, the RSK peptide could behave as a low-affinity ligand resulting only in the weak reactivation of specific memory T cells due to peripheral tolerance. Ligation of the TCR by altered peptide ligands can result in diminished signaling events involving the incomplete tyrosine phosphorylation of TCR subunits and no activation of ZAP-70 (41). Such modified TCR signaling, particularly in response to tolerizing peptides, could instigate T cell anergy, ignorance, or deletion, rather than activation. Intriguingly, the bacterial peptide behaved like a tolerogenic self peptide. Because S. aureus commonly forms part of the mucosal commensal flora (42), it is perhaps not unreasonable to expect that host T cells may be tolerant to protein antigens derived from this commensal, akin to the systemic tolerance that can be induced in T cells by antigens from other commensals such as enteric bacteria, and by dietary antigens (43, 44).
Next, we defined the αβ TCR phenotype of selected RAK-reactive CTL clones from donor SP to determine whether there was a structural basis to accommodate the different crossreactivity patterns observed with multiple peptide ligands. Analysis of the TCR αβ sequences, identified by using TCRAV and TCRBV family-specific PCR followed by direct sequencing, showed several interesting features as presented in Fig. 5 a and b. Comparison of the predicted amino acid sequences of all triple peptide-reactive TCRs revealed identical TCRAV3AJ16S5 rearrangements with an identical complementarity determining region 3 (CDR3) that directly contacts the peptide epitope. This conserved Vα chain was paired predominantly to TCRBV7BJ2S7; clone SP4 was paired to TCRBV6BJ2S7 and used a distinct Vβ chain CDR3 sequence, although there was a constrained maintenance of CDR3 loop length, indicating antigen-driven selection. The detection of triple peptide-reactive CTL clones with identical TCRs is not simply due to the amplification in vitro of sister clones because the precursor T cells giving rise to these clones were initially stimulated in separate cultures before agar cloning. Also, the recurrent αβ TCR expressed by the triple peptide-reactive clones was found in donor SP on three separate occasions. By comparison, the double peptide-reactive TCRs showed sequence variation, albeit limited, in both the Vα and Vβ chains. Nonetheless, clones expressing identical TCRs were identified. Of interest, clone SP1 expressed a Vβ chain identical with that of the conserved triple peptide-reactive TCR, but was paired to a different Vα chain, confirming the triple peptide-reactive TCR findings that the Vα chain is important in the specific recognition of the bacterial peptide. Analysis of single peptide-reactive clones revealed no identical Vα/Vβ rearrangements, and each clonotype expressed a distinct CDR3 amino acid composition of variable length. This outcome resembled the broad diversity obtained in an earlier TCR Vβ analysis of RAK-reactive clonotypes (16). Constraints on the structural plasticity of the triple peptide-reactive TCRs were also obvious at the level of epitope recognition as determined by using peptide analogues in which each residue of RAKFKQLLQ was sequentially substituted by alanine. Not surprisingly, all triple peptide-reactive clones interacted uniformly and uniquely with the alanine replacement set in that substitutions were not tolerated at positions 3, 4, 6, and 7 while the fine specificity patterns of the double peptide- and, particularly, the single peptide-reactive clones showed multiple profiles, although all RAK-reactive clones were equally sensitive to substitution at position 4, which may represent a critical TCR contact site (I.S.M., unpublished data). Overall, the TCR data clearly demonstrate that a diverse RAK-reactive TCR repertoire can be partitioned and shaped on the basis of focused crossreactions with peptide homologues derived from an autoantigen and an environmental bacterial antigen. However, by extending the limited panel of homologues used in this study, we anticipate that additional crossreactive peptides will be discovered, some of which may be responsible for further partitioning of the diverse RAK-reactive repertoire.
Interestingly, the finding of recurrent TCRs, combined with the three distinct patterns of killing shown by the RAK-reactive CTLs, suggests that clonal expansion of the triple peptide-reactive CTLs is antigen driven and not simply an outcome of fortuitous crossreactions generated in culture. To explain this finding, it is plausible to assume that T cells are normally tolerant to the self and bacterial peptides due to peripheral and mucosal tolerance, respectively. Because low-avidity interactions between TCR and self peptide/MHC molecules have been implicated recently in the long-term survival in vivo of naive and memory T cells in the absence of the cognate antigen (45, 46), the bacterial peptide could perform a similar role in contributing to the maintenance and survival of a pool of triple peptide-reactive CTL precursors. Precisely how the self and bacterial peptides “cross-prime” RAK-reactive CTLs is conjectural, although relevant clues may be found in the common topography of intermittent S. aureus and persistent EBV co-infections in mucosal regions such as the nasopharynx and tonsillar lymphoepithelium. Importantly, tolerance to the self peptide could be disrupted periodically by molecular mimicry or bystander activation at sites of inflammation during an immune response to recrudescent EBV, and to the bacterial peptide during a skin or invasive infection with S. aureus. Available abundant bacterial and self antigens ostensibly could then be processed by dendritic cells through an exogenous vacuolar class I pathway for presentation to CD8+ T cells (47, 48), either locally in the peripheral tissue if the T cells have been preactivated by the cognate peptide or in the regional lymph nodes if they are naive or resting memory cells, thereby resulting in their clonal expansion. Such clonal expansions could presumably take place before a primary infection with EBV resulting in a high frequency of naive RAK-reactive CTL precursors poised to recognize the cognate peptide. Indeed, we have found that a dominant polyclonal response of in vivo-activated RAK-reactive CTLs derived from an HLA-B8+ acute infectious mononucleosis donor included clones that strongly crossreacted with the RSK and RRK peptides (I.S.M., unpublished data). Moreover, it will be interesting to determine whether the exceptionally dominant, polyclonal RAK-reactive responses that have been identified in acute infectious mononucleosis donors by using tetramer technology (7) also consist of clones crossreactive for multiple peptide ligands. Future studies with tetramers should clarify the importance of crossreactions in imprinting and selection of the peripheral TCR repertoire responsive to the immunodominant RAK peptide.
Potentially self-reactive T cells in the periphery are obviously kept under rigorous control by self-tolerance and ordinarily would not be expected to pose an autoimmune threat. Thus in the context of this study, the viral peptide, but not the self peptide, was effective in the reactivation in vitro of RAK-reactive memory T cells. However, once activated by the cognate peptide, crossreactive CTLs, if present in sufficient numbers and in conditions of abundant self/bacterial antigen presentation, could conceivably contribute by cytokine release or cytolytic activity to the immunopathology at sites of sustained inflammation. Indeed, it has been suggested that the BZLF1-specific CTLs found in considerable numbers in the afflicted joints of patients with chronic rheumatoid arthritis exacerbate disease (49). Although there is evidence of EBV infection in synovial tissue (50), implying that the antiviral CTLs could be responding to local antigenic stimulation, the detection of latent or lytic EBV infection can be infrequent (51). However, the absence of EBV could simply indicate that an earlier infection had been cleared by CTL intervention. This outcome could be expected if there was a dominant presence of EBV-specific CTLs in the synovium, unless these effectors were in some way immunocompromised in situ. There is also the possibility that EBV infection in the synovial membrane is episodic and dependent on a supply of virus from EBV-infected B cells within the synovium. We can now predict, on the basis of our findings, that antiviral bystander effects could also be potentiated by crossreactions involving self or bacterial peptides resulting from molecular mimicry, bystander activation and/or epitope spreading (52) occurring during the disease process. In fact, a possible scenario is that MHC class I-restricted crossreactive CTLs are perpetuated at inflammatory sites in response to elevated levels of self or bacterial peptides presented by local dendritic cells without a need for an ongoing EBV infection to provide continual cognitive stimulation. Of course, other viruses apart from EBV could be associated with the pathogenesis of chronic rheumatoid arthritis through crossreactions, in a fashion similar to the implied events occurring in autoimmune diseases such as multiple sclerosis, in which patients can exhibit exacerbations after infections with different viruses (53).
Acknowledgments
We acknowledge Chiron Technologies for their kind gift of recombinant interleukin 2. This work was supported by funds from the National Health and Medical Research Council of Australia.
ABBREVIATIONS
- EBV
Epstein–Barr virus
- CTL
cytotoxic T lymphocyte
- LCL
lymphoblastoid cell line
- TCR
T cell receptor
- BZLF1
EBV immediate-early antigen
- PBMC
peripheral blood mononuclear cell
- RAK
RAKFQLL (residues 190–197)
- RSK
RSKFRQIV (residues 156–163)
- RRK
RRKYKQII (residues 269–276)
- V-(D)-J
variable-diversity-joining
- CDR3
compatibility determining region 3
- MHC
major histocompatibility complex
- PHA
phytohemagglutinin
Footnotes
References
- 1.Miyashita E M, Yang B, Lam K M, Crawford D H, Thorley-Lawson D A. Cell. 1995;80:593–601. doi: 10.1016/0092-8674(95)90513-8. [DOI] [PubMed] [Google Scholar]
- 2.Karajannis M A, Hummel M, Anagnostopoulos I, Stein H. Blood. 1997;89:2856–2862. [PubMed] [Google Scholar]
- 3.Rowe M, Rowe D T, Gregory C D, Young L S, Farrell P J, Rupani H, Rickinson A B. EMBO J. 1987;6:2743–2751. doi: 10.1002/j.1460-2075.1987.tb02568.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Thomas J A, Crawford D H. Lancet. 1989;1:1075–1076. doi: 10.1016/s0140-6736(89)92469-0. [DOI] [PubMed] [Google Scholar]
- 5.Miyashita E M, Yang B, Babcock G J, Thorley-Lawson D A. J Virol. 1997;71:4882–4891. doi: 10.1128/jvi.71.7.4882-4891.1997. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Rickinson A B, Moss D J. Annu Rev Immunol. 1997;15:405–431. doi: 10.1146/annurev.immunol.15.1.405. [DOI] [PubMed] [Google Scholar]
- 7.Callan M F C, Tan L, Annels N, Ogg G S, Wilson J D K, O’Callaghan C A, Steven N, McMichael A J, Rickinson A B. J Exp Med. 1998;187:1395–1402. doi: 10.1084/jem.187.9.1395. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Silins S L, Cross S M, Elliott S L, Pye S J, Burrows S R, Burrows J M, Moss D J, Argaet V P, Misko I S. J Exp Med. 1996;184:1815–1824. doi: 10.1084/jem.184.5.1815. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Levitsky V, de Campos-Lima P-O, Frisan T, Masucci M G. J Immunol. 1998;161:594–601. [PubMed] [Google Scholar]
- 10.Sourdive D J D, Murali-Krishna K, Altman J D, Zajac A J, Whitmire J K, Pannetier C, Kourilsky P, Evavold B, Sette A, Ahmed R. J Exp Med. 1998;188:71–82. doi: 10.1084/jem.188.1.71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Busch D H, Pilip I, Pamer E G. J Exp Med. 1998;188:61–70. doi: 10.1084/jem.188.1.61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Wilson R K, Lai E, Concannon P, Barth R K, Hood L E. Immunol Rev. 1988;101:149–172. doi: 10.1111/j.1600-065x.1988.tb00736.x. [DOI] [PubMed] [Google Scholar]
- 13.Jorgensen J L, Esser U, Fazekas de St Groth B, Reay P A, Davis M M. Nature (London) 1992;355:224–230. doi: 10.1038/355224a0. [DOI] [PubMed] [Google Scholar]
- 14.Garboczi D N, Ghosh P, Utz U, Fan Q R, Biddison W E, Wiley D C. Science. 1996;274:209–219. doi: 10.1038/384134a0. [DOI] [PubMed] [Google Scholar]
- 15.Argaet V P, Schmidt C W, Burrows S R, Silins S L, Kurilla M G, Doolan D L, Suhrbier A, Moss D J, Kieff E, Sculley T B, Misko I S. J Exp Med. 1994;180:2335–2340. doi: 10.1084/jem.180.6.2335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Silins S L, Cross S M, Elliott S L, Pye S J, Burrows J M, Moss D J, Misko I S. Int Immunol. 1997;9:1745–1755. doi: 10.1093/intimm/9.11.1745. [DOI] [PubMed] [Google Scholar]
- 17.Tallquist M D, Yun T J, Pease L R. J Exp Med. 1996;184:1017–1026. doi: 10.1084/jem.184.3.1017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Evavold B D, Sloan-Lancaster J, Wilson K J, Rothbard J B, Allen P M. Immunity. 1995;2:655–663. doi: 10.1016/1074-7613(95)90010-1. [DOI] [PubMed] [Google Scholar]
- 19.Oldstone M B A. Cell. 1987;50:819–820. doi: 10.1016/0092-8674(87)90507-1. [DOI] [PubMed] [Google Scholar]
- 20.Wucherpfennig K W, Strominger J L. Cell. 1995;80:695–705. doi: 10.1016/0092-8674(95)90348-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Segal B M, Klinman D M, Shevach E M. J Immunol. 1997;158:5087–5090. [PubMed] [Google Scholar]
- 22.Bevan M J. Nature (London) 1977;269:417–418. [Google Scholar]
- 23.Ashton-Rickardt P G, Van Kaer L, Schumacher T N M, Ploegh H L, Tonegawa S. Cell. 1993;73:1041–1049. doi: 10.1016/0092-8674(93)90281-t. [DOI] [PubMed] [Google Scholar]
- 24.Hu Q, Bazemore Walker C R, Girao C, Opferman J T, Sun J, Shabanowitz J, Hunt D F, Ashton-Rickardt P G. Immunity. 1997;7:221–231. doi: 10.1016/s1074-7613(00)80525-7. [DOI] [PubMed] [Google Scholar]
- 25.Ohashi P S, Oehen S, Buerki K, Pircher H, Ohashi C T, Odermatt B, Malissen B, Zinkernagel R M, Hengartner H. Cell. 1991;65:305–317. doi: 10.1016/0092-8674(91)90164-t. [DOI] [PubMed] [Google Scholar]
- 26.Oldstone M B, Nerenberg M, Southern P, Price J, Lewicki H. Cell. 1991;65:319–331. doi: 10.1016/0092-8674(91)90165-u. [DOI] [PubMed] [Google Scholar]
- 27.Countryman J, Jenson H, Seibl R, Wolf H, Miller G. J Virol. 1987;61:3672–3679. doi: 10.1128/jvi.61.12.3672-3679.1987. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Prang N S, Hornef M W, Jager M, Wagner H J, Wolf H, Schwarzmann F M. Blood. 1997;89:1665–1677. [PubMed] [Google Scholar]
- 29.Bogedain C, Wolf H, Modrow S, Stuber G, Jilg W. J Virol. 1995;69:4872–4879. doi: 10.1128/jvi.69.8.4872-4879.1995. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Elliott S L, Pye S J, Schmidt C, Cross S M, Silins S L, Misko I S. J Infect Dis. 1997;176:1068–1072. doi: 10.1086/516513. [DOI] [PubMed] [Google Scholar]
- 31.DiBrino M, Parker K C, Shiloach J, Turner R V, Tsuchida T, Garfield M, Biddison W E, Coligan J E. J Immunol. 1994;152:620–631. [PubMed] [Google Scholar]
- 32.Baum H, Butler P, Davies H, Sternberg M J E, Burroughs A K. Trends Biochem Sci. 1993;18:140–144. doi: 10.1016/0968-0004(93)90022-f. [DOI] [PubMed] [Google Scholar]
- 33.Wucherpfennig K W, Strominger J L. J Exp Med. 1995;181:1597–1601. doi: 10.1084/jem.181.5.1597. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Schmidt C, Burrows S R, Sculley T B, Moss D J, Misko I S. Proc Natl Acad Sci USA. 1991;88:9478–9482. doi: 10.1073/pnas.88.21.9478. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Misko I S, Pope J H, Hutter R, Sosynski T D, Kane R G. Int J Cancer. 1984;33:239–243. doi: 10.1002/ijc.2910330212. [DOI] [PubMed] [Google Scholar]
- 36.Davies T F, Martin A, Concepcion E S, Graves P, Cohen L, Ben-Nun A. N Engl J Med. 1991;325:238–244. doi: 10.1056/NEJM199107253250404. [DOI] [PubMed] [Google Scholar]
- 37.Steinle A, Reinhardt C, Jantzer P, Schendel D J. J Exp Med. 1995;181:503–513. doi: 10.1084/jem.181.2.503. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Arden B, Clark S P, Kabelitz D, Mak T W. Immunogenetics. 1995;42:455–500. doi: 10.1007/BF00172176. [DOI] [PubMed] [Google Scholar]
- 39.Grossman Z, Paul W E. Proc Natl Acad Sci USA. 1992;89:10365–10369. doi: 10.1073/pnas.89.21.10365. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Sloan-Lancaster J, Allen P M. Annu Rev Immunol. 1996;14:1–27. doi: 10.1146/annurev.immunol.14.1.1. [DOI] [PubMed] [Google Scholar]
- 41.Chau L A, Bluestone J A, Madrenas J. J Exp Med. 1998;187:1699–1709. doi: 10.1084/jem.187.10.1699. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Macowiak P A. N Engl J Med. 1982;307:83–93. doi: 10.1056/NEJM198207083070203. [DOI] [PubMed] [Google Scholar]
- 43.Duchmann R, Kaiser I, Hermann E, Mayet W, Ewe K, Meyer Zum Buschenfelde K-H. Clin Exp Immunol. 1995;102:448–455. doi: 10.1111/j.1365-2249.1995.tb03836.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Gutgemann I, Fahrer A M, Altman J D, Davis M M, Chien Y. Immunity. 1998;8:667–673. doi: 10.1016/s1074-7613(00)80571-3. [DOI] [PubMed] [Google Scholar]
- 45.Tanchot C, Lemonnier F A, Perarnau B, Freitas A A, Rocha B. Science. 1997;276:2057–2062. doi: 10.1126/science.276.5321.2057. [DOI] [PubMed] [Google Scholar]
- 46.Markiewicz M A, Girao C, Opferman J T, Sun J, Hu Q, Agulnik A A, Bishop C E, Thompson C B, Ashton-Rickardt P G. Proc Natl Acad Sci USA. 1998;95:3065–3070. doi: 10.1073/pnas.95.6.3065. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Pfeifer J D, Wick M J, Roberts R L, Findlay K, Normark S J, Harding C V. Nature (London) 1993;361:359–362. doi: 10.1038/361359a0. [DOI] [PubMed] [Google Scholar]
- 48.Albert M L, Sauter B, Bhardwaj N. Nature (London) 1998;392:86–89. doi: 10.1038/32183. [DOI] [PubMed] [Google Scholar]
- 49.Scotet E, David-Ameline J, Peyrat M-A, Moreau-Aubry A, Pinczon D, Lim A, Even J, Semana G, Berthelot J-M, Breathnach R, et al. J Exp Med. 1996;184:1791–1800. doi: 10.1084/jem.184.5.1791. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Takei M, Mitamura K, Fujiwara S, Horie T, Ryu J, Osaka S, Yoshino S, Sawada S. Int Immunol. 1997;9:739–743. doi: 10.1093/intimm/9.5.739. [DOI] [PubMed] [Google Scholar]
- 51.Mousavi-Jazi M, Bostrom L, Lovemark C, Linde A, Brytting M, Sundqvist V A. J Rheumatol. 1998;25:623–628. [PubMed] [Google Scholar]
- 52.Miller S D, Vanderlugt C L, Begolka W S, Pao W, Yauch R L, Neville K L, Katz-Levy Y, Carrizosa A, Kim B. Nat Med. 1997;3:1133–1136. doi: 10.1038/nm1097-1133. [DOI] [PubMed] [Google Scholar]
- 53.Anderson O, Lygner P E, Bergstrom T, Anderson M, Vahlne A. J Neurol. 1993;240:417–422. doi: 10.1007/BF00867354. [DOI] [PubMed] [Google Scholar]