203 Specificity of the proteasome and the TAP transporter Stephan Uebel and Robert Tampé* The generation of antigenic peptides and their transport across the membrane of the endoplasmic reticulum for assembly with MHC class I molecules are essential steps in antigen presentation to cytotoxic T lymphocytes. Recent studies have characterized the substrate specificities of the proteasome and the transporter associated with antigen processing. It is interesting to compare the specificity of this transporter to the wide spectrum of peptides generated by the proteasome, to the binding motifs of MHC class I molecules and in particular to the principles of T cell recognition. Addresses Institut für Physiologische Chemie, Philipps-Universität Marburg, Karl-von-Frisch-Strasse 1, D-35033 Marburg, Germany *e-mail: [email protected] Correspondence: Robert Tampé Current Opinion in Immunology 1999, 11:203–208 http://biomednet.com/elecref/0952791501100203 © Elsevier Science Ltd ISSN 0952-7915 Abbreviations CTL cytotoxic T lymphocyte ER endoplasmic reticulum hTAP human TAP interferon γ IFN-g P1 position 1 TAP transporter associated with antigen processing Introduction Supplying peptides to the assembling MHC class I molecules for potential recognition by cytotoxic T lymphocytes (CTLs) involves at least two steps: the first step is the degradation of proteins (marked for degradation through polyubiquitinylation) by the proteasome complex — a multisubunit, multicatalytic protease; the second step is the transport of the peptides thus generated into the lumen of the endoplasmic reticulum (ER), by the action of the transporter associated with antigen processing (TAP) (for reviews see [1,2]). In the ER, the assembly of the class I heavy chain and β2-microglobulin takes place in a tightly regulated fashion involving chaperones such as calnexin, calreticulin and ERp57 as well as tapasin. The latter bridges class I to TAP and provides the ER-retention signal for empty class I molecules (Figure 1). While the principles governing substrate selection by MHC class I molecules are now well understood (for a review, see [3]) and also a binding motif for TAP has recently been established (for a review, see [4]), the relevance of peptide generation and transport into the ER for the selection of dominant and subdominant epitopes still remains elusive. Some open questions remain: these regard the selectivity and kinetics of peptide generation by the proteasome; the concentration of peptides available for transport and the kinetics of such transport (and thus the concentration of peptides available for loading onto class I in the ER); and the involvement of other factors influencing the availability of peptides in the respective compartments, such as chaperones or other transporters. If peptide supply to class I molecules should prove to be rate-limiting for antigen presentation, selectivity of this ‘funneling’ step could be imprinted onto the pool of epitopes. This might explain why only a small number of the potential class-I-binders within a given protein elicit CTL responses. This review will describe the advances in understanding the molecular mechanisms underlying substrate recognition by the proteasome and the TAP, giving new insight into the coevolution of major components of the MHC class I pathway and the principles underlying epitope selection. The proteasome: using an evolutionarily conserved enzymatic principle for a novel function The proteasome complex is found in all three domains of life, where it has a key function in the degradation and turnover of proteins (reviewed in [5]). In mammals, the proteasome acquired an additional function and appears to provide the major proteolytic machinery for generating the pool of peptide epitopes that are loaded onto MHC class I molecules (reviewed in [6,7]). Enzymatic inhibition or genetic knockouts reveal that most of the proteasomal genes are essential for cell function. From comprehensive structural and functional studies, it became clear that this multicatalytic enzyme complex uses the evolutionarily conserved principle of self-compartmentalization to restrict and control protein degradation in the cytosol. The barrel-shaped 20S proteasome complex comprises 28 subunits which can be classified into α- and β-types. These subunits are arranged into four heptameric rings (α7–β7–β7–α7) which are stacked to enclose three large cavities. The central cavity is formed by β-subunits only, which harbor the first amino-terminal Thr residue of each active subunit as the active site. In Eukarya, the 20S proteasome represents the catalytic core complex of an even larger 26S complex which functions in the ATP-dependent unfolding of ubiquitinylated proteins (reviewed in [5]). Although the processing efficiency of 20S and 26S complexes might differ significantly and the site of ubiquitinylation might also have some impact on selectivity, the cleavage specificity of all larger co-complexes is believed to be determined by the 20S core complex. As described above, the eukaryotic 20S proteasomes contain two identical α7–β7 units although only three of the seven β subunits in each β7 ring are active. From the use of model substrates and inhibitors, as well as of proteasome mutants, it became apparent that these active β subunits of the multicatalytic protease are responsible for three distinct proteolytic activities according to the position 1 (P1) residue of the substrate: subunit β5 (corresponding to X/MB1/ε in humans), is responsible for the chymotrypsin-like activity (for hydrophobic residues at 204 Immunological techniques Figure 1 Pathway of antigen processing via MHC class I. (a) Endogenous proteins are degraded in the proteasome-dependent degradation pathway and (b) peptides are transported into the ER lumen by TAP dimers. Several molecules in the ER have been implicated in the tightly regulated folding, assembly and loading of MHC class I molecules: (c) calnexin and ERp57; (d) calreticulin and β2-microglobulin (β2m); and (e) tapasin. A peptide-trimming activity may also be present (not shown). (f) Stable MHC–peptide complexes can leave the ER via the Golgi compartment (g) to the cell surface, potentially (h) for recognition by CTLs. CTL TCR Peptide–class-I–β2m CD8 (h) Target cell (g) (a) Proteasome complex Golgi Peptides Protein (b) (f) TAP Class I (e) (d) (c) Tapasin Calreticulin β2 m ERp57 Calnexin MHC class I heavy chain ER Translocon Ribosome Current Opinion in Immunology P1); β2 (Z/α in humans) for the trypsin-like activity (basic residues at P1); and β1 (Y/δ in humans) for the peptidylglutamylpeptide-hydrolyzing activity (acidic residues at P1). Beside this minimal set of activities, additional proteolytic components — for example the so-called ‘branched chain amino acid preferring’ activity, cleaving after Leu — were found. To a large extent, the specificity is determined by a binding pocket which is modulated by residue 45 of each of the active β subunits and by additional residues of the adjacent β-type subunit within the same ring [8]. Experimentally, it has been demonstrated that residues other than P1 are involved in determining the substrate cleavage site of mammalian proteasomes [9,10]. By using wild-type and mutated yeast proteasomes, the cleavage motif of the active β subunits was analyzed in detail from peptide or protein digests [11••,12•]. It was found that only the three active subunits are responsible for the cleavage specificity, excluding the possibility of additional catalytic sites. Interestingly, subunits β1 and β2 also cleave after some hydrophobic residues — reflecting the ‘branched chain amino acid preferring’ component. This preference of the yeast proteasome to generate peptides with hydrophobic residues (e.g. Leu) at the carboxyl terminus indicates that the basic proteolytic activity alone might lead to the generation of MHC class I ligands in vertebrates. Interestingly, cleavage after residue Gly at P1 appears to be disfavored by the yeast proteasome and a preference for small and β-turn-promoting residues was seen in P1 [11••]. In vertebrates, this basic activity pattern becomes even more complex, as IFN-γ induces a major structural reorganization of the 20S proteasome. By co-ordinative replacement of the three active subunits by β2i (MECL1), β1i (LMP2) and β5i (LMP7) — the latter two encoded in the MHC region — so-called ‘immunoproteasomes’ are formed (reviewed in [7]). In addition, IFN-γ induces the formation of the PA28 activator complex, which may itself complex with proteasomes; PA28 promotes processing of endogenous antigens [13]. The identification of the proteasome as the central machinery for epitope generation has brought up interesting questions regarding the specificity of the proteasome and how its selectivity might be modulated by IFN-γ. The immunecell-specific subunits (β1i, β2i, β5i) are not essential for antigen presentation and from studies of various cell lines, or mice expressing or lacking MHC-encoded proteasomal subunits, controversial results have been obtained. In conclusion, the formation of immunoproteasomes may alter the substrate specificity in such a way that the peptide repertoire is expanded. The direct or indirect generation — as well as the stability — of various epitopes upon proteasomal degradation have been studied in numerous in vitro or in vivo assays and the relevance of the sequence context of the epitope and its flanking residues, as well as steric constraints imposed by substrates containing (for example) Gly–Ala repeats or Pro residues, has been pointed out [14–17]; however, the issue of epitope generation by the proteasome is still controversial and little is known about the principles that Specificity of the proteasome and the TAP transporter Uebel and Tampé govern specificity beyond position P1 and that alter the cleavage pattern of the mammalian proteasome complex upon immune stimulation. The proteasome complex generates fragments with a Gaussian-like length distribution but with a preference for peptides containing eight to eleven residues [9,18,19]. This characteristic length distribution seems well preserved for all proteasomes, even for mutant 20S proteasomes which carry only one active subunit [11••]. This implies that the length distribution is not determined by the distance between the active sites, as it was originally proposed [19]. The observation that the prosequences of some inactive β subunits are partially processed to match the length distribution of degradation products leads us to speculate that the substrate and the prosequence might be similarly recognized. As can be seen from the crystal structure, propeptides are bound at an extended binding-cleft formed by the active subunit and its adjacent subunit [8,20]. We would like to propose that this binding site selects for polypeptides with a minimum length of eight residues, in order to increase the lifetime of the enzyme–substrate complex that favors cleavage at P1. This model is also in agreement with the proposed enzyme mechanism in which, unlike conventional proteases, the proteasome degrades proteins processively without release of polypeptide intermediates [21]. Most recently, substrate binding, processing and product release of the proteasome complex could be followed in real-time by surface plasmon resonance spectroscopy — leading to new insights into the recognition process of the proteasome (IT Dorn, R Eschrich, E Seemüller, R Guckenberger, R Tampé, unpublished data). Peptide selection by the TAP transport complex The heterodimeric TAP complex, composed of TAP1 and TAP2, belongs to the ATP-binding cassette (ABC) superfamily of transporter proteins, which are involved in transport of a wide variety of substrates across biological membranes. Members of this family are found in Eukarya as well as in Prokarya and include the multidrug-resistance P-glycoprotein (MDR), the cystic fibrosis transmembrane conductance regulator (CFTR) and the oligopeptide transporter of Salmonella typhimurium. Hydrophobicity profiles of these proteins suggest that they have two domains each, consisting of six to ten membrane-spanning regions and two hydrophilic domains. The designation of this protein family is derived from these highly conserved domains, where the Walker motifs A and B form a site for ATP-binding and hydrolysis — which is why they are called nucleotide-binding domains. The role of TAP as a peptide transporter has been shown by restoration of peptide transport and class I surface expression in cell lines that were previously TAP-deficient, by in vitro transport assays using semipermeabilized cells and by heterologous expression of TAP in insect cells or yeasts; moreover TAP-dependent transport could be directly shown through trapping of translocated peptides, carrying an N-glycosylation recognition sequence, in the ER lumen after glycosylation by enzymes on the lumenal 205 side of the ER membrane [22,23]. By comparison of the amount of N-glycosylated peptide that has accumulated in the ER, this assay was used for the analysis of substrate selection by TAP [24–27]. A second assay system directly measures peptide–TAP interaction as peptide-binding affinities and thus circumvents several problems associated with the N-glycosylation-based assays; these are mainly due to the kinetics of the glycosylation reaction and an efficient peptide export system in the ER [28–30,31••]. Conclusive results concerning the length selectivity of TAP come from the use of randomized peptide libraries in conjunction with competition binding assays [28] and from transport assays using peptides that carry the N-glycosylation recognition sequence at one terminus and a Tyr residue for radioiodination at the opposite terminus [32]. Peptides that are 8–16 amino acids in length seem to be good substrates for TAP, with peptides of 9–12 residues suited best, although transport could also be unequivocally shown for considerably longer peptides. For rat TAP, where a functional polymorphism exists, conflicting results have been reported: whereas one group finds that TAP from the RT1a strain is more permissive towards longer peptides than TAP from the RT1u strain or human TAP (hTAP) [32], another report suggests the opposite [25]. When it comes to the side-chain specificity, the results from both assay systems are in good agreement with respect to the relative order of preferred residues. In fact, when the same set of peptides has been tested in both systems, similar results have been obtained and the two assay systems have been termed ‘functionally indistinguishable’ [33]. The major difference in the results, though, is the absolute range of affinities covered by peptides. While mouse TAP and rat TAP of the RT1u strain were found to be clearly selective for hydrophobic carboxyl termini, hTAP and rat RT1a -strain TAP have been dubbed rather nonselective from the results of the N-glycosylation-based assays [34]. In contrast, two independent studies — using binding assays — have shown at least three orders of magnitude difference in peptide affinities for hTAP [31••,35••]. Interestingly, the binding assays have shown that the residues determining peptide affinity, in addition to the carboxyl terminus, are not evenly distributed across the peptide. Considerable selectivity is exerted by the three amino-terminal residues, particularly by P2 (Figure 2). Thus, the peptide residues relevant for binding to hTAP are the same ones that are used as anchors for most MHC class I molecules. At least for the carboxyl terminus, preferences of hTAP and class I are well matched: Phe, Leu, Arg, Tyr and Val (favored by hTAP) comprise 80% of the residues found as class I anchors [3]. Thus, it is interesting to speculate that hTAP, in a process of coevolution with class I molecules, could ‘concentrate’ on hydrophobic and basic carboxyl termini without limiting the pool of peptides available for class I binding. In contrast, even the high-resolution binding assays — in combination with combinatorial libraries — did not reveal 206 Immunological techniques Figure 2 HLA-binding motif TCR recognition motif H O + (a) H H Sequence diversity N C _ O Length flexibile (8–16 aa) (c) Side-chain preferences + (b) Position – K,N,R R,I,Q W,Y 1 2 3 4 5 D,E,F P,L D,E,G N T R I 6 7 D,E Peptide recognition principle of TAP. (a) Selected sequences will contain HLAbinding motifs and diverse TCR recognition sequences with variable numbers of amino acids (aa). (b) Positions 1–9 of a peptide sequence are indicated as an example (singleletter code is used for amino acids). Peptide residues that are preferred (+) or disfavored (–) by human TAP are given at the individual positions as extracted from combinatorial peptide libraries [31••]. Residues in bold show the strongest effects. (c) The degree of TAP selectivity for various side chains is given as the variance of the stabilization factors and (d) the relevance of the peptide backbone for recognition by TAP derived from D-amino acid libraries is indicated. F,L,R,Y,V 8 9 D,E,N,S,G (d) Relevance of peptide backbone Current Opinion in Immunology any considerable selectivity at P5–P8 of peptides, which strongly contribute to T cell recognition [31••]. An interesting effect has been noted for Pro at P2. It is the strongest single destabilizing residue found, nearly completely abolishing binding to hTAP. Similar results were obtained for murine TAP at peptide P3, suggesting that it reflects an important principle [24]. Subsequent analysis has shown that the effect of Pro results from interaction of hTAP with the peptide backbone, mainly at P2 but also at P1 and P3 [31••]. Thus, by holding on to the peptide backbone, TAP could provide high affinity binding while at the same time enlarging the pool of peptides used for TCR recognition. Using peptide libraries containing Damino acids and Pro-containing sequences, this motif could also be extended to longer peptides [31••,35••]. This raises the question of how the class I alleles, with Pro as an anchor at P2, are supplied with peptides. Taking into account that TAP also transports peptides longer than those suited for class I binding, amino-terminal trimming of transported peptides seems to play a key role. Epitopes in the making What is the physiological relevance of TAP-mediated substrate selection? TAP has seemingly coevolved (see [36]) with the other components of the class I pathway so that it exerts minimal restriction on the pool of epitopes available for recognition by the TCR, while providing high affinities and thus high transport efficiencies at the presumably low concentrations of free peptides in the cytosol. Still, even for hTAP, some imprint of its selectivity on the peptides bound to class I should be visible. In particular, a prominent influence of TAP would be expected at P2 and P3 of the peptides naturally presented on class I. Unfortunately, no functional polymorphism for hTAP and mouse TAP has been found [34,37,38•] — a situation in contrast to that in the rat, where RT1u-strain TAP selectivity leads to impaired intracellular transport of class I molecules of the RT1a allele [36]; therefore, studies on the physiological relevance of peptide selection of human and mouse TAP have, to date, relied on circumstantial evidence. The clearest results come from a study of hTAP where a disequilibrium was found between predicted peptide affinities for known class-I binders, as opposed to randomly picked sequences [35••]. Additionally, the disequilibrium found was different for several class I alleles — again suggesting a role for trimming prior to loading onto some alleles; this reflects the fact that HLA-A2 is often found associated with signal-sequence-derived peptides. From these results it appears unlikely that other additional factors, such as chaperones, play a critical role in peptide selection in the MHC class I pathway. This does not exclude the fact that certain peptides bind to chaperones; however each additional, specific binding event will restrict the peptide repertoire presented to CTLs. For example the binding motif of Hsp70-like chaperons recognizing a specific pattern of hydrophobic residues in the centre of the peptide is different from the binding motif of MHC class I and TAP Specificity of the proteasome and the TAP transporter Uebel and Tampé molecules and, if generalized, would drastically affect the pool of peptides presented on MHC class I molecules. Conclusions The adaptive immune system has obviously acquired an evolutionarily conserved, enzymatic principle to generate a large pool of protein fragments with a defined length distribution imprinting some preference for generating peptides with hydrophobic residues. Upon this given pool of peptides, TAP has seemingly coevolved with other components of the class I pathway sharing a similar binding motif; however to maximize (on one side) the efficiency of the antigen-processing machinery and to minimize (on the other) the restrictions on the pool of peptides for recognition by the TCR, some imprint of its selectivity should be visible — assuming that peptide supply is rate-limiting under physiological conditions. The influence should be distinguishable for different class I alleles, since they vary in their assembly and loading kinetics. Regulation of retention time in the ER for a given peptide concentration might thus be the true function of factors involved in class I assembly and the generation of kinetically stable MHC–peptide complexes, making some class I alleles available for loading from alternative peptide sources (signal sequences, trimmed peptides, etc.). ‘Flooding’ of the ER with peptides derived from highly expressed proteins due to IFN-γ-dependent upregulation of subunits of the proteasome complex and TAP (e.g. after viral infection) might disturb this balance in such a way that these viral sequences are predominantly presented to CTLs. 10. Bogyo M, Shin S, Mcmaster JS, Ploegh HL: Substrate-binding and sequence preference of the proteasome revealed by active-sitedirected affinity probes. Chem Biol 1998, 5:307-320. 11. Nussbaum AK, Dick TP, Keilholz W, Schirle M, Stevanovic S, Dietz K, •• Heinemeyer W, Groll M, Wolf DH, Huber R et al.: Cleavage motifs of the yeast 20S proteasome beta-subunits deduced from digests of enolase-1. Proc Natl Acad Sci USA 1998, 95:12504-12509. A 45 kDa protein from yeast was degraded in vitro by purified wild-type and mutant yeast 20S proteasomes. Analysis of the cleavage products at different times revealed a processive degradation mechanism and a length distribution of fragments with an average length of approximately 8 amino acids. A detailed analysis of the cleavages also allowed the identification of certain amino acid characteristics in positions flanking the P1 residue. 12. Dick TP, Nussbaum AK, Deeg M, Heinemeyer W, Groll M, Schirle M, • Keilholz W, Stevanovic S, Wolf DH, Huber R et al.: Contribution of proteasomal beta-subunits to the cleavage of peptide-substrates analyzed with yeast mutants. J Biol Chem 1998, 273:25637-25646. This study relates to [11••]; using wild-type and mutated yeast 20S proteasomes, the specificities and contributions of the different β subunits to the degradation of fluorogenic substrates containing MHC class I ligands were analyzed. A correlation between the contribution of the different subunits to the cleavage of long peptide substrates was found. 13. Dick TP, Ruppert T, Groettrup M, Kloetzel PM, Kuehn L, Koszinowski UH, Stevanovic S, Schild H, Rammensee HG: Coordinated dual cleavages induced by the proteasome regulator PA28 lead to dominant MHC ligands. Cell 1996, 86:253-262. 14. Shimbara N, Ogawa K, Hidaka Y, Nakajima H, Yamasaki N, Niwa S, Tanahashi N, Tanaka K: Contribution of proline residue for efficient production of MHC class-I ligands by proteasomes. J Biol Chem 1998, 273:23062-23071. 15. Sharipo A, Imreh M, Leonchiks A, Imreh S, Masucci MG: A minimal glycine-alanine repeat prevents the interaction of ubiquitinated i-kappa-b-alpha with the proteasome — a new mechanism for selective-inhibition of proteolysis. Nat Med 1998, 4:939-944. 16. Niedermann G, Grimm R, Geier E, Maurer M, Realini C, Gartmann C, Soll J, Omura S, Rechsteiner MC, Baumeister W, Eichmann K: Potential immunocompetence of proteolytic fragments produced by proteasomes before evolution of the vertebrate immunesystem. J Exp Med 1997, 186:209-220. 17. References and recommended reading Papers of particular interest, published within the annual period of review, have been highlighted as: • of special interest •• of outstanding interest 1. Koopmann JO, Hämmerling GJ, Momburg F: Generation, intracellular-transport and loading of peptides associated with MHC class-I molecules. Curr Opin Immunol 1997, 9:80-88. 2. Pamer E, Cresswell P: Mechanisms of MHC class I-restricted antigen processing. Annu Rev Immunol 1998, 16:323-358. 3. Rammensee H-G, Friede T, Stevanovic S: MHC ligands and peptide motifs: first listing. Immunogenetics 1995, 41:178-228. 4. Uebel S, Tampé R: Processing and selection of antigens by the MHC-encoded peptide transporter TAP. In Symposium in Immunology, vol 5. Edited by Eibl MM, Huber C, Peter HH, Wahn U. New York: Springer; 1997:155-164. 5. Baumeister W, Walz J, Zühl F, Seemüller E: The proteasome - paradigm of a self-compartmentalizing protease. Cell 1998, 92:367-380. 6. Goldberg AL, Gaczynska M, Grant E, Michalek M, Rock KL: Functions of the proteasome in antigen presentation. Cold Spring Harb Symp Quant Biol 1995, 60:479-490. 7. Tanaka K, Kasahara M: The MHC class-I ligand-generating system — roles of immunoproteasomes and the interferon-gamma-inducible proteasome activator PA28. Immunol Rev 1998, 163:161-176. 8. Groll M, Ditzel L, Lowe J, Stock D, Bochtler M, Bartunik HD, Huber R: Structure of 20S proteasome from yeast at 2.4 Å resolution. Nature 1997, 386:463-471. 9. Ehring B, Meyer TH, Eckerskorn C, Lottspeich F, Tampé R: Effects of major-histocompatibility-complex-encoded subunits on the peptidase and proteolytic activities of human 20S proteasomes — cleavage of proteins and antigenic peptides. Eur J Biochem 1996, 235:404-415. 207 Anton LC, Snyder HL, Bennink JR, Vinitsky A, Orlowski M, Porgador A, Yewdell JW: Dissociation of proteasomal degradation of biosynthesized viral-proteins from generation of MHC class Iassociated antigenic peptides. J Immunol 1998, 160:4859-4868. 18. Kisselev AF, Akopian TN, Goldberg AL: Range of sizes of peptide products generated during degradation of different proteins by archaeal proteasomes. J Biol Chem 1998, 273:1982-1989. 19. Wenzel T, Eckerskorn C, Lottspeich F, Baumeister W: Existence of a molecular ruler in proteasomes suggested by analysis of degradation products. FEBS Lett 1994, 349:205-209. 20. Ditzel L, Huber R, Mann K, Heinemeyer W, Wolf DH, Groll M: Conformational constraints for protein self-cleavage in the proteasome. J Mol Biol 1998, 279:1187-1191. 21. Akopian TN, Kisselev AF, Goldberg AL: Processive degradation of proteins and other catalytic properties of the proteasome from thermoplasma-acidophilum. J Biol Chem 1997, 272:1791-1798. 22. Neefjes JJ, Momburg F, Hämmerling GJ: Selective and ATPdependent translocation of peptides by the MHC-encoded transporter. Science 1993, 261:769-771. 23. Androlewicz MJ, Anderson KS, Cresswell P: Evidence that transporters associated with antigen processing translocate a major histocompatibility complex class I-binding peptide into the endoplasmic reticulum in an ATP-dependent manner. Proc Natl Acad Sci USA 1993, 90:9130-9134. 24. Schumacher TN, Kantesaria DV, Heemels MT, Ashton-Rickardt PG, Shepherd JC, Früh K, Yang Y, Peterson PA, Tonegawa S, Ploegh HL: Peptide length and sequence specificity of the mouse TAP1/TAP2 translocator. J Exp Med 1994, 179:533-540. 25. Heemels MT, Ploegh HL: Substrate-specificity of allelic variants of the TAP peptide transporter. Immunity 1994, 1:775-784. 26. Neefjes J, Gottfried E, Roelse J, Grommé M, Obst R, Hämmerling GJ, Momburg F: Analysis of the fine specificity of rat, mouse and human TAP peptide transporters. Eur J Immunol 1995, 25:1113-1136. 208 27. Immunological techniques Momburg F, Roelse J, Howard JC, Butcher GW, Hämmerling GJ, Neefjes JJ: Selectivity of MHC-encoded peptide transporters from human, mouse and rat. Nature 1994, 367:648-651. 28. van Endert PM, Tampé R, Meyer TH, Tisch R, Bach JF, McDevitt HO: A sequential model for peptide binding and transport by the transporters associated with antigen processing. Immunity 1994, 1:491-500. 29. Uebel S, Meyer TH, Kraas W, Kienle S, Jung G, Wiesmüller KH, Tampé R: Requirements for peptide binding to the human transporter associated with antigen-processing revealed by peptide scans and complex peptide libraries. J Biol Chem 1995, 270:18512-18516. 30. van Endert PM, Riganelli D, Greco G, Fleischhauer K, Sidney J, Sette A, Bach JF: The peptide-binding motif for the human transporter associated with antigen-processing. J Exp Med 1995, 182:1883-1895. 31. Uebel S, Kraas W, Kienle S, Wiesmüller K-H, Jung G, Tampé R: •• Recognition principle of the TAP-transporter disclosed by combinatorial peptide libraries. Proc Natl Acad Sci USA 1997, 94:8976-8981. This study provides the binding motif for human TAP at high resolution using complex peptide libraries. The use of libraries containing D-amino acids allows the extension of the motif to different-length peptides and highlights the relevance of the peptide backbone for binding to TAP, leading to a model for the interaction of TAP and peptide at the molecular level. 32. Koopmann JO, Post M, Neefjes JJ, Hämmerling GJ, Momburg F: Translocation of long peptides by transporters associated with antigen-processing (TAP). Eur J Immunol 1996, 26:1720-1728. 33. Androlewicz MJ, Cresswell P: How selective is the transporter associated with antigen-processing? Immunity 1996, 5:1-5. 34. Obst R, Armandola EA, Nijenhuis M, Momburg F, Hämmerling GJ: TAP polymorphism does not influence transport of peptide variants in mice and humans. Eur J Immunol 1995, 25:2170-2176. 35. Daniel S, Brusic V, Caillatzucman S, Petrovsky N, Harrison L, Riganelli D, •• Sinigaglia F, Gallazzi F, Hammer J, van Endert PM: Relationship between peptide selectivities of human transporters associated with antigen-processing and HLA class-I molecules. J Immunol 1998, 161:617-624. The authors present a matrix for predicting human TAP peptide-binding affinities using a polyalanine-based peptide. The interesting aspect of the study is the comparison of TAP affinities for known class-I binders with randomly selected sequences. The observed bias for the class-I binders represents the first proof for the relevance of epitope selection by human TAP in vivo. Unfortunately, the binding affinities for TAP that are used are predicted rather than being experimental values. 36. Joly E, Lerolle AF, Gonzalez AL, Mehling B, Stevens J, Coadwell WJ, Hunig T, Howard JC, Butcher GW: Coevolution of rat TAP transporters and MHC class-I RT1-a molecules. Curr Biol 1998, 8:169-172. 37. Schumacher TNM, Kantesaria DV, Serreze DV, Roopenian DC, Ploegh HL: Transporters from H-2(b), H-2(d), H-2(s), H-2(k), and H-2(g7) (NOD/lt) haplotype translocate similar sets of peptides. Proc Natl Acad Sci USA 1994, 91:13004-13008. 38. Daniel S, Caillatzucman S, Hammer J, Bach JF, van Endert PM: • Absence of functional relevance of human transporter associated with antigen-processing polymorphism for peptide selection. J Immunol 1997, 159:2350-2357. This is a systematic search for a functional polymorphism in human TAP. Although a sensitive binding assay is used, no differences were observed for the alleles tested.
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