Structural analysis of peptides capable of binding to more than one Ia antigen

The Ia binding regions were analyzed for three unrelated peptide Ag (sperm whale myoglobin 106-118, influenza hemagglutinin 130-142, and lambda repressor protein 12-26) for which binding to more than one Ia molecule has previously been demonstrated. By determining the binding profile of three separate series of truncated synthetic peptides, it was found that in all three cases the different Ia reactivities mapped to largely overlapping regions of the peptides; although, for two of the peptides, the regions involved in binding the different Ia specificities were distinct. Moreover, subtle differences were found to dramatically influence some, but not other, Ia reactivities. Using a large panel of synthetic peptides it was found that a significant correlation exists between the capacity of peptides to interact with different alleles of the same molecule (i.e., IAd and IAk), but no correlation was found with the capacity of peptides to interact with different isotypes within the same haplotype (i.e., IAd and IEd). These data suggest that different alleles of the same MHC molecule may actually recognize closely related structures, whereas different isotypes may recognize unrelated, albeit non-mutually exclusive, structures on an Ag molecule.     

Analysis of peptide residues interacting with MHC molecule or T cell receptor. Can a peptide bind in more than one way to the same MHC molecule?

It has generally been assumed implicitly that one can define amino acid residues of a T cell antigenic determinant peptide that interact with the MHC molecule, i.e., residues that form the "agretope." However, if the same peptide can be seen in different conformations or orientations in the same MHC molecule by different T cells, then we would predict that some residues would appear to interact with the TCR of one T cell clone but with the MHC molecule as the peptide is seen by another T cell clone. To test this hypothesis, we synthesized 36 analogue peptides of an immunogenic fragment (P133-146) of sperm whale myoglobin with three different substitutions for each of 12 amino-acid residues and analyzed the role of each residue for I-Ed-binding and for activation of two Th clones, 14.1 and 14.5, specific for the peptide. The two T cell clones showed slightly different fine specificity from each other in that the truncated peptide P136-144 could stimulate 14.5 but not 14.1. The binding activity of nonstimulatory analogues to the I-Ed molecule was measured by functional inhibition analyses using truncated wild-type peptides as stimulators and nonstimulatory analogues as inhibitors. Paradoxical results were obtained that could not be explained by the peptide binding in a single way to the same I-Ed molecule. Some residues appeared to reciprocally reverse their roles for binding to I-Ed vs binding to the TCR when assessed using T-cell clone 14.5 compared to clone 14.1. These results fit the prediction of the above hypothesis and indicate the possibility that the same peptide, P133-146, can bind in more than one way to the same Ia molecule. The T cell clones, 14.1 and 14.5, appear to recognize different P133-146-I-Ed complexes in which the peptide is bound differently. Moreover, a given residue may not have a unique function of always interacting with the MHC molecule or TCR, but may change from one role to the other as it is presented to different T cells.     

An essential function of tapasin in quality control of HLA-G molecules

Tapasin plays an important role in the quality control of major histocompatibility complex (MHC) class I assembly, but its precise function in this process remains controversial. Whether tapasin participates in the assembly of HLA-G has not been studied. HLA-G, an MHC class Ib molecule that binds a more restricted set of peptides than class Ia molecules, is a particularly interesting molecule, because during assembly, it recycles between the endoplasmic reticulum (ER) and the cis-Golgi until it is loaded with a high affinity peptide. We have taken advantage of this unusual trafficking property of HLA-G and its requirement for high affinity peptides to demonstrate that a critical function of tapasin is to transform class I molecules into a high affinity, peptide-receptive form. In the absence of tapasin, HLA-G molecules cannot bind high affinity peptides, and an abundant supply of peptides cannot overcome the tapasin requirement for high affinity peptide loading. The addition of tapasin renders HLA-G molecules capable of loading high affinity peptides and of transporting to the surface, suggesting that tapasin is a prerequisite for the binding of high-affinity ligands. Interestingly, the "tapasin-dependent" HLA-G molecules are not empty in the absence of tapasin but are in fact associated with suboptimal peptides and continue to recycle between the ER and the cis-Golgi. Together with the finding that empty HLA-G heterodimers are strictly retained in the ER and degraded, our data suggest that MHC class I molecules bind any available peptides to avoid ER-mediated degradation and that the peptides are in turn replaced by higher affinity peptides with the aid of tapasin.     

Predicting peptides binding to MHC class II molecules using multi-objective evolutionary algorithms

Background  

Peptides binding to Major Histocompatibility Complex (MHC) class II molecules are crucial for initiation and regulation of immune responses. Predicting peptides that bind to a specific MHC molecule plays an important role in determining potential candidates for vaccines. The binding groove in class II MHC is open at both ends, allowing peptides longer than 9-mer to bind. Finding the consensus motif facilitating the binding of peptides to a MHC class II molecule is difficult because of different lengths of binding peptides and varying location of 9-mer binding core. The level of difficulty increases when the molecule is promiscuous and binds to a large number of low affinity peptides.     

NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction

Background  

The major histocompatibility complex (MHC) molecule plays a central role in controlling the adaptive immune response to infections. MHC class I molecules present peptides derived from intracellular proteins to cytotoxic T cells, whereas MHC class II molecules stimulate cellular and humoral immunity through presentation of extracellularly derived peptides to helper T cells. Identification of which peptides will bind a given MHC molecule is thus of great importance for the understanding of host-pathogen interactions, and large efforts have been placed in developing algorithms capable of predicting this binding event.     

Predicting peptides that bind to MHC molecules using supervised learning of hidden markov models

The binding of a major histocompatibility complex (MHC) molecule to a peptide originating in an antigen is essential to recognizing antigens in immune systems, and it has proved to be important to use computers to predict the peptides that will bind to an MHC molecule. The purpose of this paper is twofold: First, we propose to apply supervised learning of hidden Markov models (HMMs) to this problem, which can surpass existing methods for the problem of predicting MHC-binding peptides. Second, we generate peptides that have high probabilities to bind to a certain MHC molecule, based on our proposed method using peptides binding to MHC molecules as a set of training data. From our experiments, in a type of cross-validation test, the discrimination accuracy of our supervised learning method is usually approximately 2–15% better than those of other methods, including backpropagation neural networks, which have been regarded as the most effective approach to this problem. Furthermore, using an HMM trained for HLA-A2, we present new peptide sequences that are provided with high binding probabilities by the HMM and that are thus expected to bind to HLA-A2 proteins. Peptide sequences not shown in this paper but with rather high binding probabilities can be obtained from the author (E-mail: mami@ccm.cl.nec.co.jp). Proteins 33:460–474, 1998. © 1998 Wiley-Liss, Inc.     

Three classes of signalling molecules on B-cell membranes

The question of whether surface immunoglobulin and Ia molecules have a signalling function in helper T cell-dependent activation of B cells has been evaluated. Two sources of B cells have been used, one a purified population of hapten-binding B cells, the other a B-cell lymphoma, CH12, with known antigen specificity. Evidence is presented that both immunoglobulin and Ia molecules are receptors actively involved in the initial activation of resting B cells. Nevertheless, the requirements for ligand binding to either receptor can be bypassed under appropriate conditions, and the implications of this result for the function of these molecules is discussed. With respect to B-cell Ia, the authors present data that demonstrate two distinct functions of this molecule, one as a restricting element for T-cell activation, the second as a signalling receptor for B-cell excitation. On the CH12 surface, the I-A molecule fulfills the former function, but T-cell interactions with I-A fail to result in B-cell stimulation, suggesting that B-cell Ia may limit helper T cell-B cell interactions. We suggest that the binding of antigen surface immunoglobulin and binding of helper T-cell receptors to the appropriate Ia molecule(s) results in the activation of genes that encode for a third class of membrane B-cell receptors, those that bind B-cell stimulating factors.     

Binding to Ia protects an immunogenic peptide from proteolytic degradation

A 34 amino acid hen egg-white lysozyme (HEL) peptide was designed and synthesized to investigate if an immunogenic peptide once bound to an Ia molecule becomes proteolytically inaccessible. The determinant recognized by T cells, HEL(52-61) was composed of L-amino acids whereas the 12 amino acid extension on each side of this core were composed of D-epimers. This peptide, HEL(40-73) was resistant to proteolysis, except in the core region, where any cleavage would destroy the determinant. Initially HEL(40-73) was shown to be able to stimulate the HEL specific T cell, 3A9, indicating that an I-Ak molecule can bind and present large peptides that extend beyond the theoretical binding groove. HEL(40-73) was then used to examine the proteolytic sensitivity of determinants recognized by T cells. If HEL(40-73) was treated with chymotrypsin before binding to I-Ak, the determinant was totally destroyed; however, if HEL(40-73) was allowed to first bind to I-Ak, then the determinant became resistant to chymotrypsin cleavage. Thus an Ia molecule can protect a determinant from proteolytic degradation, a finding that has important implications for proposed pathways of Ag processing.     

Identification of residues necessary for clonally specific recognition of a cytotoxic T cell determinant.

The residues in an influenza nucleoprotein (NP) cytotoxic T cell determinant necessary for cytotoxic T cell (CTL) recognition, were identified by assaying the ability of hybrid peptides to sensitize a target cell to lysis. The hybrid peptides were formed by substituting amino acids from one determinant (influenza NP 147-158) for the corresponding residues of a second peptide (HLA CW3 171-182) capable of binding to a common class I protein (H-2Kd). Six amino acids resulted in partial recognition; however, the presence of a seventh improved the potency of the peptide. Five of the six amino acids were shown to be required for recognition. The spacing of the six amino acids was consistent with the peptide adopting a helical conformation when bound. The importance of each amino acid in CTL recognition and binding to the restriction element was investigated further by assaying the ability of peptides containing point substitutions either to sensitize target cells or to compete with the natural NP sequence for recognition by CTL. The T cell response was much more sensitive to substitution than the ability of the peptide to bind the restriction element. Collectively the separate strategies identified an approximate conformation and orientation of the peptide when part of the complex and permitted a potential location in the MHC binding site to be identified. The model provides a rationalization for analogues which have previously been shown to exhibit greater affinity for the class I molecule and suggests that the binding site in major histocompatibility complex (MHC) class I molecules might have greater steric constraints that the corresponding area of class II proteins.     

Selection of T-cell epitopes from foot-and-mouth disease virus reflects the binding affinity to different cattle MHC class II molecules

The major histocompatibility complex (MHC)-restricted selection of T-cell epitopes of foot-and-mouth disease virus (FMDV) by individual cattle MHC class II DR (BoLA-DR) molecules was studied in a direct MHC-peptide binding assay. By in vitro priming of T lymphocytes derived from animals homozygous for both MHC class I and II, five T-cell epitopes were analyzed in the context of three MHC class II haplotypes. We found that the presentation of these T-cell epitopes was mediated by DR molecules, since blocking this pathway of antigen presentation using monoclonal antibody TH14B completely abolished the proliferative responses against the peptides. To study the DR-restricted presentation of these T-cell epitopes, a direct MHC-peptide binding assay on isolated cattle DR molecules was developed. Purified cattle MHC class II DR molecules of the BoLA-DRB3*0201, BoLA-DRB3*1101, and BoLA-DRB3*1201 alleles were isolated from peripheral blood mononuclear cells. For each allele, one of the identified T-cell epitopes was biotinylated, and used as a marker peptide for the development of a competitive MHC-peptide binding assay. Subsequently, the T-cell epitopes of FMDV with functionally defined MHC class II specificity were analyzed in this binding assay. The affinity of the epitopes to bind to certain DR molecules was significantly correlated to the capacity to induce T-cell proliferation. This demonstrated at the molecular level that the selection of individual T-cell epitopes found at the functional level was indeed the result of MHC restriction.     

The Structure and Stability of the Monomorphic HLA-G Are Influenced by the Nature of the Bound Peptide

The highly polymorphic major histocompatibility complex class Ia (MHC-Ia) molecules present a broad array of peptides to the clonotypically diverse αβ T-cell receptors. In contrast, MHC-Ib molecules exhibit limited polymorphism and bind a more restricted peptide repertoire, in keeping with their major role in innate immunity. Nevertheless, some MHC-Ib molecules do play a role in adaptive immunity. While human leukocyte antigen E (HLA-E), the MHC-Ib molecule, binds a very restricted repertoire of peptides, the peptide binding preferences of HLA-G, the class Ib molecule, are less stringent, although the basis by which HLA-G can bind various peptides is unclear. To investigate how HLA-G can accommodate different peptides, we compared the structure of HLA-G bound to three naturally abundant self-peptides (RIIPRHLQL, KGPPAALTL and KLPQAFYIL) and their thermal stabilities. The conformation of HLA-G^KGPPAALTL was very similar to that of the HLA-G^RIIPRHLQL structure. However, the structure of HLA-G^KLPQAFYIL not only differed in the conformation of the bound peptide but also caused a small shift in the α2 helix of HLA-G. Furthermore, the relative stability of HLA-G was observed to be dependent on the nature of the bound peptide. These peptide-dependent effects on the substructure of the monomorphic HLA-G are likely to impact on its recognition by receptors of both innate and adaptive immune systems.     

Structure-based design and evaluation of MHC class II binding peptides.

Structural information regarding binding of peptides to the major histocompatibility complex (MHC) class II molecule is of great use for the design of compounds that intervene in the interaction between the MHC-peptide-T-cell receptor (TCR) complex. These compounds can be applied in the treatment of T-cell-mediated auto-immune disease for specific modulation of the disease process. In case no crystal structure of the MHC molecule is available, homology models of the MHC molecule can be of importance. Here we describe the construction of a homology model of the MHC class II molecule and binding of the peptide, that are involved in experimental auto-immune encephalomyelitis, a rat model for human multiple sclerosis. The validity of the model was investigated using experimental data of peptides binding to this MHC molecule.     

Application of support vector machines for T-cell epitopes prediction

MOTIVATION: The T-cell receptor, a major histocompatibility complex (MHC) molecule, and a bound antigenic peptide, play major roles in the process of antigen-specific T-cell activation. T-cell recognition was long considered exquisitely specific. Recent data also indicate that it is highly flexible, and one receptor may recognize thousands of different peptides. Deciphering the patterns of peptides that elicit a MHC restricted T-cell response is critical for vaccine development. RESULTS: For the first time we develop a support vector machine (SVM) for T-cell epitope prediction with an MHC type I restricted T-cell clone. Using cross-validation, we demonstrate that SVMs can be trained on relatively small data sets to provide prediction more accurate than those based on previously published methods or on MHC binding. SUPPLEMENTARY INFORMATION: Data for 203 synthesized peptides is available at http://linus.nci.nih.gov/Data/LAU203_Peptide.pdf     

Computational binding assays of antigenic peptides

Computer models can be combined with laboratory experiments for the efficient determination of (i) peptides that bind MHC molecules and (ii) T-cell epitopes. For maximum benefit, the use of computer models must be treated as experiments analogous to standard laboratory procedures. This requires the definition of standards and experimental protocols for model application. We describe the requirements for validation and assessment of computer models. The utility of combining accurate predictions with a limited number of laboratory experiments is illustrated by practical examples. These include the identification of T-cell epitopes from IDDM-, melanoma- and malaria-related antigens by combining computational and conventional laboratory assays. The success rate in determining antigenic peptides, each in the context of a specific HLA molecule, ranged from 27 to 71%, while the natural prevalence of MHC-binding peptides is 0.1–5%.     

An hypothesis on the binding of an amphipathic, alpha helical sequence in Ii to the desetope of class II antigens

When we investigated the hypothesis that amphipathic alpha helical peptides digested from foreign antigen bind to class II major histocompatability complex (MHC) molecules' binding site (desetope) for foreign antigen to be presented to T cell receptors, we found such an extended amphipathic helix in Ii. This amphipathic helix was hypothesized to bind Ii to class II MHC antigens until release in endosomes containing digested foreign antigen. Then these amphipathic Ii polypeptides might polymerize so as not to compete with foreign antigen for binding to class II MHC molecules. Various structural models were consistent with these views and led to the suggestion of specific forms of polymeric interaction.     

The versatility of the αβ T‐cell antigen receptor

The T‐cell antigen receptor is a heterodimeric αβ protein (TCR) expressed on the surface of T‐lymphocytes, with each chain of the TCR comprising three complementarity‐determining regions (CDRs) that collectively form the antigen‐binding site. Unlike antibodies, which are closely related proteins that recognize intact protein antigens, TCRs classically bind, via their CDR loops, to peptides (p) that are presented by molecules of the major histocompatibility complex (MHC). This TCR‐pMHC interaction is crucially important in cell‐mediated immunity, with the specificity in the cellular immune response being attributable to MHC polymorphism, an extensive TCR repertoire and a variable peptide cargo. The ensuing structural and biophysical studies within the TCR‐pMHC axis have been highly informative in understanding the fundamental events that underpin protective immunity and dysfunctional T‐cell responses that occur during autoimmunity. In addition, TCRs can recognize the CD1 family, a family of MHC‐related molecules that instead of presenting peptides are ideally suited to bind lipid‐based antigens. Structural studies within the CD1‐lipid antigen system are beginning to inform us how lipid antigens are specifically presented by CD1, and how such CD1‐lipid antigen complexes are recognized by the TCR. Moreover, it has recently been shown that certain TCRs can bind to vitamin B based metabolites that are bound to an MHC‐like molecule termed MR1. Thus, TCRs can recognize peptides, lipids, and small molecule metabolites, and here we review the basic principles underpinning this versatile and fascinating receptor recognition system that is vital to a host's survival.     

Ovalbumin(323-339) peptide binds to the major histocompatibility complex class II I-A(d) protein using two functionally distinct registers

Proteins of the class II major histocompatibility complex (MHC) bind antigenic peptides that are subsequently presented to T cells. Previous studies have shown that most of the residues required for binding of the chicken ovalbumin (Ova) 323-339 peptide to the I-A(d) MHC class II protein are contained within the shorter 325-336 peptide. This observation is somewhat inconsistent with the X-ray structure of the Ova peptide covalently attached to I-A(d) ( structure) in which residues 323 and 324 form binding interactions with the protein. A second register for the Ova(325-336) peptide is proposed where residues 326 and 327 occupy positions similar to residues 323 and 324 in the structure. Two Ova peptides that minimally encompass the and alternate registers, Ova(323-335) and Ova(325-336), respectively, were found to dissociate from I-A(d) with distinct kinetics. The dissociation rates for both peptides were enhanced when the His81 residue of the MHC beta-chain was replaced with an asparagine. In the structure the betaH81 residue forms a hydrogen bond to the backbone carbonyl of I323. If the Ova(325-336) peptide were also bound in the register, there would be no comparable hydrogen-bond acceptor for the betaH81 side chain that could explain this peptide's sensitivity to the betaH81 replacement. The Ova(323-335) peptide that binds in the register does not stimulate a T-cell hybridoma that is stimulated by Ova(325-336) bound in the alternate register. These results demonstrate that a single peptide can bind to an MHC peptide in alternate registers producing distinct T-cell responses.     

An induced fit hypothesis for antigen recognition by T lymphocytes: a role for specific antigen retention structures on antigen-presenting cells

The nature of T lymphocyte recognition of foreign antigens is not known, despite recent advances in elucidating the cellular structures that may be involved in the specific interactions. The central difficulty in this process is that T cells respond to foreign antigen only in the context of major histocompatibility complex (MHC) antigens expressed by another antigen-presenting cell. In addition, T cells that interact with class II MHC antigens do not bind foreign protein antigens in their native form, but seem to recognize only proteolytic peptide fragments as the relevant antigen. The simplest explanation for these observations is that the class II MHC antigens themselves bind antigenic peptides to form the appropriate determinant that interacts with the antigen-specific T cell receptor. However, to date no such antigenic complex has been found with MHC antigens despite rigorous attempts at their demonstration. One alternative explanation described here is that there is no preexisting foreign antigen-MHC antigen complex prior to interaction with T cells, and it is the T cells that cause the two moieties to become associated for recognition by a single antigen-specific T cell receptor. Central to this mechanism is that foreign antigenic peptides must be associated with specific antigen retention structures (SARS) expressed by antigen-presenting cells which retain and protect the peptide on the cell surface. These SARS, upon interaction with T cell membrane moieties, would subsequently associate with MHC antigens. A hypothesis to describe this mechanism is developed to account for published observations of antigen processing by antigen-presenting cells and T cell antigen recognition, and makes several predictions that are experimentally testable. This mechanism is also generally applicable to other cellular interactions in which soluble peptide mediators may become associated with surface components of one cell type, and this newly formed complex is in turn recognized by a receptor on a second cell type to deliver functional signals.     

Iterative stepwise discriminant analysis: a meta-algorithm for detecting quantitative sequence motifs.

An algorithm is presented for detecting a quantitative pattern in peptide fragments that bind class II major histocompatibility complex (MHC) molecules. It is referred to as a meta-algorithm because it requires successive applications of Stepwise Discriminate Analysis (SDA). On every iteration the best subsequence candidates are selected from sequences known to bind class II MHC molecules. When SDA compares probable binding subsequences with subsequences known not to bind class II MHC molecules, a quantitative model emerges that is capable of classifying subsequences as binding or non-binding. In an iterative manner, the resultant model is utilized as a criterion for selecting probable binding subsequence candidates. The procedure is repeated until models converge. In the illustrated examples, the final models correctly classify over 95% of the peptides in a database of peptides whose binding affinity for HLA-DR1 is known. The final model can then be used to predict the binding affinity of peptides that have not yet been laboratory tested.     

Covalent modification of a melanoma-derived antigenic peptide with a natural quinone methide. Preliminary chemical, molecular modelling and immunological evaluation studies

A LigandFit shape-directed docking methodology was used to identify the best position at which the melanoma-derived MHC class-I HLA-A2-binding antigenic peptide ELAGIGILTV could be modified by attaching a small molecule capable of fitting at the interface of complementary determining regional (CDR) loops of a T-cell receptor (TCR) while triggering T-cell responses. The small molecule selected here for determining the feasibility of this alternative track to chemical alteration of antigenic peptides was the electrophilic quinone methide (+)-puupehenone (), a natural product that belongs to a family of marine metabolites capable of expressing immunomodulatory activities. A preliminary chemical reactivity model study revealed the efficacy of the thiol group of a cysteine (C) side-chain in its nucleophilic addition reaction with in a regio- and diastereoselective manner. The best TCR/HLA-A2 ligand [i.e., ELAGCGILTV-S-puupehenol ()] then identified by the LigandFit docking procedure was synthesized and used to pulse HLA-A2(+) T2 cells for T-cell stimulation. Among the ELAGIGILTV-specific T-cell clones we tested, five of them recognized the conjugate in spite of its low binding affinity for the HLA-A2 molecules. The resulting T-cell stimulation was determined through the intracytoplasmic secretion of IFN-gamma and the percentage of T-cells thus activated. These highly encouraging results indicate that small non-peptidic natural product-derived molecules attached onto the central part of an antigenic peptide can fit at the TCR/HLA-A2 interface with induction of T-cell responses.