Solid phase peptide synthesis of lipopeptide vaccines eliciting epitope-specific B-, T-helper and T-killer cell response.

Lymphocyte subpopulations involved in the self and nonself recognition processes are antibody producing cells, T-helper cells and T-killer cells. By using lipopeptide adjuvants and lipopeptide-antigen conjugates each of the major pathways of immune response can be specifically addressed on the molecular level of minimized synthetic lipopeptide vaccines. The immunologically active principle of the lipopeptide constructs is the synthetic N-terminus of bacterial lipoprotein, tri-palmitoyl-S-glycerylcysteine, which can be covalently linked to B-, T-helper and CTL epitopes. Methods of multiple peptide synthesis based on Merrifield's solid-phase synthesis allow the economic production of the high numbers of overlapping lipopeptides required for the complete immunological screening of viral proteins.     

Recent Advances in Design and Synthesis of Self-Adjuvanting Lipopeptide Vaccines

Synthetic lipopeptide vaccines are being increasingly investigated mainly because of the advantages they offer over traditional vaccines, including safety of use in humans, high specificity in eliciting immune responses, greater purity and large scale/cost-effective production capacity. Moreover, a number of lipopeptide vaccines designed to possess self-adjuvanting properties have been developed and tested in vitro and in vivo. Producing high levels of serum-specific antibodies against incorporated peptide epitopes, they are showing their potential as effective vaccine candidates without the need for a co-administered adjuvant and/or carrier protein, often associated with undesirable effects in humans. This review presents recent insights on lipopeptide vaccine research and development, particularly on (1) the influence of the orientation of peptide epitopes and lipids on immune responses, (2) the use of carbohydrates for vaccine targeting, adjuvanting or as peptide epitope carriers, and (3) synthetic approaches to highly pure, multi-epitopic vaccine molecules using native chemical ligation techniques. Incorporation of different types of antigens within the same lipopeptide construct could provide a lipopeptide vaccine candidate suitable for safe and effective mucosal administration, which is a comfortable way of drug delivery.     

Identification of peptides from foot‐and‐mouth disease virus structural proteins bound by class I swine leukocyte antigen (SLA) alleles,SLA‐1*0401 and SLA‐2*0401

Characterization of the peptide‐binding specificity of swine leukocyte antigen (SLA) class I and II molecules is critical to the understanding of adaptive immune responses of swine toward infectious pathogens. Here, we describe the complete binding motif of the SLA‐2*0401 molecule based on a positional scanning combinatorial peptide library approach. By combining this binding motif with data achieved by applying the NetMHCpan peptide prediction algorithm to both SLA‐1*0401 and SLA‐2*0401, we identified high‐affinity binding peptides. A total of 727 different 9mer and 726 different 10mer peptides within the structural proteins of foot‐and‐mouth disease virus (FMDV), strain A24 were analyzed as candidate T‐cell epitopes. Peptides predicted by the NetMHCpan were tested in ELISA for binding to the SLA‐1*0401 and SLA‐2*0401 major histocompatibility complex class I proteins. Four of the 10 predicted FMDV peptides bound to SLA‐2*0401, whereas five of the nine predicted FMDV peptides bound to SLA‐1*0401. These methods provide the characterization of T‐cell epitopes in response to pathogens in more detail. The development of such approaches to analyze vaccine performance will contribute to a more accelerated improvement of livestock vaccines by virtue of identifying and focusing analysis on bona fide T‐cell epitopes.     

Proteome‐wide B and T cell epitope repertoires in outer membrane proteins of Mycobacterium avium subsp. paratuberculosis have vaccine and diagnostic relevance: a holistic approach

Mycobacterium avium subsp. paratuberculosis (MAP) is an etiological agent of chronic inflammation of the intestine among ruminants and humans. Currently, there are no effective vaccines and sensitive diagnostic tests available for its control and detection. For this, it is of paramount importance to identify the MAP antigens, which may be immunologically recognized by the host immune system. To address this challenge, we performed identification of the immunogenic epitopes in the MAP outer membrane proteins (OMPs). We have previously identified 57 MAP proteins as OMPs [Rana A, Rub A, Akhter Y. 2014. Molecular BioSystems, 10:2329–2337] and have evaluated them for the epitope selection and analysis employing a computational approach. Thirty‐five MAP OMPs are reported with nine‐mer peptides showing high binding affinity to major histocompatibility complex (MHC) class I molecules and 28 MAP OMPs with 15‐mer peptides of high binding affinity for MHC class II molecules. The presence of MHC binding epitopes indicates the potential cell‐mediated immune response inducing capacity of these MAP OMPs in infected host. To further investigate the humoral response inducing properties of OMPs of MAP, we report potential B cell epitopes based on the sequences of peptide antigens and their molecular structures. We also report 10 proteins having epitopes for both B and T cells representing potential candidates which may invoke both humoral and cellular immune responses in the host. These findings will greatly accelerate and expedite the formulation of effective and cost‐efficient vaccines and diagnostic tests against MAP infection. Copyright © 2015 John Wiley & Sons, Ltd.     

Metadherin peptides containing CD4+ and CD8+ T cell epitopes as a therapeutic vaccine candidate against cancer

The concept of peptide‐based vaccines against cancer has made noteworthy progress. Metadherin (MTDH) overexpression and its role in the development of diverse cancers make it an attractive target for cancer immunotherapy. In the current study, six different T cell epitope prediction tools were run to identify MTDH peptides with multiple immunogenic regions. Further, molecular docking was performed to assess HLA‐peptide binding interactions. Nine and eleven peptides fragments containing multiple CD8 ⁺ and CD4 ⁺ T‐cell epitopes, ranging from 9 to 20 amino acids, respectively, were obtained using a consensus immunoinformatics approach. The three peptides that were finally identified as having overlapping CD4 ⁺ and CD8 ⁺ T‐ cell epitopes are ARLREMLSVGLGFLRTELG, FLLGYGWAAACAGAR, YIDDEWSGLNGLSSADP. These peptides were found to not only have multiple T cell epitopes but also to have binding affinity with wide HLA molecules. A molecular docking study revealed that the predicted immunogenic peptides (with single or multiple T cell epitopes) of MTDH have comparable binding energies with naturally bound peptides for both HLA classes I and II. Thus, these peptides have the potential to induce immune responses that could be considered for developing synthetic peptide vaccines against multiple cancers.     

T cell recognition of Neisseria meningitidis class 1 outer membrane proteins. Identification of T cell epitopes with selected synthetic peptides and determination of HLA restriction elements.

No vaccine is yet available against serogroup B meningococci, which are a common cause of bacterial meningitis. Some outer membrane proteins (OMP), LPS, and capsular polysaccharides have been identified as protective Ag. The amino acid sequence of the protective B cell epitopes present within the class 1 OMP has been described recently. Synthetic peptides containing OMP B cell epitopes as well as capsular polysaccharides or LPS protective B cell epitopes have to be presented to the immune system in association with T cell epitopes to achieve an optimal Ir. The use of homologous, i.e., meningococcal, T cell epitopes has many advantages. We therefore investigated recognition sites for human T cells within the meningococcal class 1 OMP. We have synthesized 16 class 1 OMP-derived peptides encompassing predicted T cell epitopes. Peptides corresponding to both surface loops and trans-membrane regions (some of which occur as amphipathic beta-sheets) of the class 1 OMP were found to be recognized by T cells. In addition, 10 of 11 peptides containing predicted amphipathic alpha-helices and four of five peptides containing T cell epitope motifs according to Rothbard and Taylor (Rothbard, J. B., and W. R. Taylor. 1988. EMBO J 7:93) were recognized by lymphocytes from one or more volunteers. Some of the T and B cell epitopes were shown to map to identical regions of the protein. At least six of the peptides that were found to contain T cell epitopes show homology to constant regions of the meningococcal class 3 OMP and the gonococcal porins PIA and PIB. Peptide-specific T cell lines and T cell clones were established to investigate peptide recognition in more detail. The use of a panel of HLA-typed APC revealed clear HLA-DR restriction patterns. It seems possible now to develop a (semi-) synthetic meningococcal vaccine with a limited number of constant T cell epitopes that cover all HLA-DR locus products.     

Immunoinformatic Identification of Potential Epitopes Against Shigellosis

Diarrhoeal diseases due to Shigellosis account for deaths of ~1.5 million children every year in developing countries. Outer membrane proteins (OMPs) of Gram negative bacteria have been shown to be excellent subunit vaccine candidates against various pathogens. However, effective immune response can be generated using specific immunogenic determinants or peptides instead of whole protein or pathogen. In the present study, we chose six OMPs of Shigella flexneri 2a to predict peptides with good antigenic potential. Various tools were used in a systematic flow to predict B- and T-cell epitopes. Stringent selection criteria were used for epitope screening to ensure generation of both arms of immunity. These epitopes are predicted to be effective against a significantly large population of the diarrhoea afflicted countries in Southeast Asia. Most of the predicted epitopes are located towards the outer exposed region of proteins. The epitopes were docked with respective MHC Class I and II molecules to study peptide–MHC interactions. In conclusion, we have predicted an epitope ensemble against Shigellosis which can be experimentally validated for its immunogenic efficacy. We also propose a systematic workflow for immune-optimization to design effective peptide vaccines.     

Phage presentation

There has recently been great interest in the use of the filamentous bacteriophage fd as a vehicle for the display of peptides and proteins. Phage libraries displaying random peptides up to 38 amino acids in length can be used (i) to select for ligands able to bind specific target molecules; (ii) to mimic non-proteinaceous ligands; and (iii) as a tool to map epitopes recognized by antibodies. The display of proteins or their functional domains provides a system for the analysis of structure-function relationships, and the potential to generate proteins with altered binding characteristics or novel catalytic properties. The display of short immunogenic determinants on fusion phage may provide a basis for the development of novel peptide vaccines, whilst the expression of libraries of antibody fragments may provide a method to by-pass hybridoma technology in the generation of monoclonal antibodies.     

Prediction and identification of T cell epitopes in the H5N1 influenza virus nucleoprotein in chicken

T cell epitopes can be used for the accurate monitoring of avian influenza virus (AIV) immune responses and the rational design of vaccines. No T cell epitopes have been previously identified in the H5N1 AIV virus nucleoprotein (NP) in chickens. For the first time, this study used homology modelling techniques to construct three-dimensional structures of the peptide-binding domains of chicken MHC class Ι molecules for four commonly encountered unique haplotypes, i.e., B4, B12, B15, and B19. H5N1 AIV NP was computationally parsed into octapeptides or nonapeptides according to the peptide-binding motifs of MHC class I molecules of the B4, B12, B15 and B19 haplotypes. Seventy-five peptide sequences were modelled and their MHC class I molecule-binding abilities were analysed by molecular docking. Twenty-five peptides (Ten for B4, six for B12, two for B15, and seven for B19) were predicted to be potential T cell epitopes in chicken. Nine of these peptides and one unrelated peptide were manually synthesized and their T cell responses were tested in vitro. Spleen lymphocytes were collected from SPF chickens that had been immunised with a NP-expression plasmid, pCAGGS-NP, and they were stimulated using the synthesized peptides. The secretion of chicken IFN-γ and the proliferation of CD8(+) T cells were tested using an ELISA kit and flow cytometry, respectively. The significant secretion of chicken IFN-γ and proliferation of CD8(+) T lymphocytes increased by 13.7% and 11.9% were monitored in cells stimulated with peptides NP(89-97) and NP(198-206), respectively. The results indicate that peptides NP(89-97) (PKKTGGPIY) and NP(198-206) (KRGINDRNF) are NP T cell epitopes in chicken of certain haplotypes. The method used in this investigation is applicable to predicting T cell epitopes for other antigens in chicken, while this study also extends our understanding of the mechanisms of the immune response to AIV in chicken.     

Toward a definition of self: proteomic evaluation of the class I peptide repertoire

MHC class I molecules present host- and pathogen-derived peptides for immune surveillance. Much attention is given to the search for viral and tumor nonself peptide epitopes, yet the question remains, "What is self?" Analyses of Edman motifs and of small sets of individual peptides suggest that the class I self repertoire consists of thousands of different peptides. However, there exists no systematic characterization of this self-peptide backdrop, causing the definition of class I-presented self to remain largely hypothetical. To better understand the breadth and nature of self proteins sampled by class I HLA, we sequenced >200 endogenously loaded HLA-B*1801 peptides from a human B cell line. Peptide-source proteins, ranging from actin-related protein 6 to zinc finger protein 147, possessed an assortment of biological and molecular functions. Major categories included binding proteins, catalytic proteins, and proteins involved in cell metabolism, growth, and maintenance. Genetically, peptides encoded by all chromosomes were presented. Statistical comparison of proteins presented by class I vs the human proteome provides empiric evidence that the range of proteins sampled by class I is relatively unbiased, with the exception of RNA-binding proteins that are over-represented in the class I peptide repertoire. These data show that, in this cell line, class I-presented self peptides represent a comprehensive and balanced summary of the proteomic content of the cell. Importantly, virus- and tumor-induced changes in virtually any cellular compartment or to any chromosome can be expected to be presented by class I molecules for immune recognition.     

Towards High-throughput Immunomics for Infectious Diseases: Use of Next-generation Peptide Microarrays for Rapid Discovery and Mapping of Antigenic Determinants

Complete characterization of antibody specificities associated to natural infections is expected to provide a rich source of serologic biomarkers with potential applications in molecular diagnosis, follow-up of chemotherapeutic treatments, and prioritization of targets for vaccine development. Here, we developed a highly-multiplexed platform based on next-generation high-density peptide microarrays to map these specificities in Chagas Disease, an exemplar of a human infectious disease caused by the protozoan Trypanosoma cruzi. We designed a high-density peptide microarray containing more than 175,000 overlapping 15mer peptides derived from T. cruzi proteins. Peptides were synthesized in situ on microarray slides, spanning the complete length of 457 parasite proteins with fully overlapped 15mers (1 residue shift). Screening of these slides with antibodies purified from infected patients and healthy donors demonstrated both a high technical reproducibility as well as epitope mapping consistency when compared with earlier low-throughput technologies. Using a conservative signal threshold to classify positive (reactive) peptides we identified 2,031 disease-specific peptides and 97 novel parasite antigens, effectively doubling the number of known antigens and providing a 10-fold increase in the number of fine mapped antigenic determinants for this disease. Finally, further analysis of the chip data showed that optimizing the amount of sequence overlap of displayed peptides can increase the protein space covered in a single chip by at least ∼threefold without sacrificing sensitivity. In conclusion, we show the power of high-density peptide chips for the discovery of pathogen-specific linear B-cell epitopes from clinical samples, thus setting the stage for high-throughput biomarker discovery screenings and proteome-wide studies of immune responses against pathogens.Detailed knowledge of antigens and epitopes recognized in the context of naturally acquired human infections has important implications for our understanding of immune system responses against pathogens, and of the immunopathogenesis of infectious diseases. This knowledge is also important for practical clinical applications such as the development of improved vaccines, intervention strategies, and diagnostics.In the last decades, significant progress has been made in the discovery of antigens and epitopes thanks to a number of methodologies such as cDNA expression libraries (1), combinatorial peptide libraries (2), and peptide and protein microarrays (3, 4). However, current knowledge of the B-cell antigens and the epitope repertoire recognized by the immune system in human infections is still scarce. Indeed, the Immune Epitope Database (5) currently contains an average of only 10 antigens with mapped B-cell epitopes recognized from naturally acquired human infections for bacterial or eukaryotic pathogens. The reasons for this are many, but can be largely attributed to different limitations in the mentioned screening technologies. Heterologous expression of cDNA libraries has been used to guide antigen discovery, but mapping of epitopes most often lags behind as it is a much more costly exercise. Similarly, combinatorial peptide libraries greatly facilitate the identification of peptides that are specifically recognized by antibodies, but these peptides have sequences that can greatly differ from those of the native epitopes (they are mimotopes), thus making it difficult to identify the original antigens. As a result, we currently have only limited detailed information on the fine specificities of the antibody response against complex pathogens.The number of tools for studying immune responses has recently expanded with the inclusion of peptide and protein microarrays, which have been used to identify pathogen-specific antigens and linear epitopes (6–13). Although whole-protein arrays can successfully identify antigens recognized by antibodies, they present the typical difficulties associated with the production of recombinant proteins in heterologous or in vitro systems, do not provide information on the nature and precise location of the epitope(s) in a protein, and are more likely to suffer from nonspecific antibody binding because of the exposure of a large number of potentially antigenic regions. In contrast, peptide arrays can provide exquisite detail of epitope localization, but until now had other limitations mostly associated with their reduced capacity, preventing the complete scanning of large numbers of candidate proteins.Recent advances in computerized photolithography and photochemistry have led to the development of a novel high-density peptide microarray technology, where individual peptides can be synthesized in situ on a glass slide at high densities (14–17). This technology makes the production of high-density peptide arrays highly cost effective compared with previous approaches, while allowing the interrogation of complex immune responses with unprecedented throughput and mapping precision. Previous applications of this technology were limited to the fine mapping of epitopes in single proteins, using monoclonal antibodies, or using immunized animal sera as the source of polyclonal antibodies (16–18).Using these high-density peptide arrays, we here describe the first large-scale study of fine antibody specificities associated with Chagas Disease, which is an exemplar of a chronic human infectious disease. Chagas Disease, caused by the protozoan Trypanosoma cruzi, is an endemic disease of the Americas, affecting ∼8 million people (19). The parasite invades and replicates within host cells, and briefly enters the bloodstream to reach other target tissues. Initially, the disease goes through an acute stage, characterized by patent parasitaemia and the appearance of antibodies against acute-phase antigens, such as SAPA (20), followed by a delayed specific humoral response. In general, the parasite-specific immune response mounted during T. cruzi infections is insufficient to completely eradicate the pathogen, leading to chronic infection (19). In this chronic stage circulating parasites are difficult to detect, even by extremely sensitive methods such as PCR. Therefore, detection of antibodies against whole-parasite extracts or defined antigens (21, 22) remains the standard for diagnosis of Chagas Disease.In this work, we screened high-density microarray slides containing peptides derived from T. cruzi proteins with mixtures of immunoglobulins purified directly from blood samples of Chagas Disease patients. This led to the identification of novel antigens and the simultaneous mapping of their linear B-cell epitopes, thus demonstrating the capacity and performance of this platform for studying antibody specificities associated with human infectious diseases.     

T cell response to preproinsulin I and II in the nonobese diabetic mouse

Immunization against insulin, insulin B chain, or B chain peptide B(9-23) (preproinsulin peptide II(33-47)) prevents diabetes in the nonobese diabetic (NOD) mouse. Whether or not peptide II(33-47) is the only proinsulin determinant recognized by CD4 T cells remains unclear. Using two peptide libraries spanning the entire sequence of preproinsulin I and preproinsulin II, respectively, we identified T cells specific for four proinsulin epitopes within the islet cell infiltrate of prediabetic female NOD mice. These epitopes were among immunogenic epitopes to which a T cell response was detected after immunization of NOD mice with individual peptides in CFA. Immunogenic epitopes were found on both isoforms of insulin, especially proinsulin II, which is the isoform expressed in the thymus. The autoimmune response to proinsulin represented only part of the immune response to islet cells within the islet cell infiltrate in 15-wk-old NOD mice. This is the first systematic study of preproinsulin T cell epitopes in the NOD mouse model.     

An immunoinformatics approach to define T cell epitopes from polyketide and non‐ribosomal peptide synthesis proteins of Mycobacterium tuberculosis as potential vaccine candidates

The role of polyketide and non‐ribosomal proteins from the class of small molecule metabolism of Mycobacterium tuberculosis is well documented in envelope organization, virulence, and pathogenesis. Consequently, the identification of T cell epitopes from these proteins could serve to define potential antigens for the development of vaccines. Fourty‐one proteins from polyketide and non‐ribosomal peptide synthesis of small molecule metabolism proteins of M tuberculosis H37Rv were analyzed computationally for the presence of HLA class I binding nanomeric peptides. All possible overlapping nanomeric peptide sequences from 41 small molecule metabolic proteins were generated through in silico and analyzed for their ability to bind to 33 alleles belonging to A, B, and C loci of HLA class I molecule. Polyketide and non‐ribosomal protein analyses revealed that 20% of generated peptides were predicted to bind HLA with halftime of dissociation T_1/2 ≥ 100 minutes, and 77% of them were mono‐allelic in their binding. The structural bases for recognition of nanomers by different HLA molecules were studied by structural modeling of HLA class I‐peptide complexes. Pathogen peptides that could mimic as self‐peptides or partially self‐peptides in the host were excluded using a comparative study with the human proteome; thus, subunit or DNA vaccines will have more chance of success.     

Candidate epitope identification using peptide property models: application to cancer immunotherapy

Peptides derived from pathogens or tumors are selectively presented by the major histocompatibility complex proteins (MHC) to the T lymphocytes. Antigenic peptide-MHC complexes on the cell surface are specifically recognized by T cells and, in conjunction with co-factor interactions, can activate the T cells to initiate the necessary immune response against the target cells. Peptides that are capable of binding to multiple MHC molecules are potential T cell epitopes for diverse human populations that may be useful in vaccine design. Bioinformatical approaches to predict MHC binding peptides can facilitate the resource-consuming effort of T cell epitope identification. We describe a new method for predicting MHC binding based on peptide property models constructed using biophysical parameters of the constituent amino acids and a training set of known binders. The models can be applied to development of anti-tumor vaccines by scanning proteins over-expressed in cancer cells for peptides that bind to a variety of MHC molecules. The complete algorithm is described and illustrated in the context of identifying candidate T cell epitopes for melanomas and breast cancers. We analyzed MART-1, S-100, MBP, and CD63 for melanoma and p53, MUC1, cyclin B1, HER-2/neu, and CEA for breast cancer. In general, proteins over-expressed in cancer cells may be identified using DNA microarray expression profiling. Comparisons of model predictions with available experimental data were assessed. The candidate epitopes identified by such a computational approach must be evaluated experimentally but the approach can provide an efficient and focused strategy for anti-cancer immunotherapy development.     

Identification and validation of T-cell epitopes in outer membrane protein (OMP) of Salmonella typhi

This study aims to design epitope-based peptides for the utility of vaccine development by targeting outer membrane protein F (Omp F), because two available licensed vaccines, live oral Ty21a and injectable polysaccharide, are 50% to 80% protective with a higher rate of side effects. Conventional vaccines take longer time for development and have less differentiation power between vaccinated and infected cells. On the other hand, Peptide-based vaccines present few advantages over other vaccines, such as stability of peptide, ease to manufacture, better storage, avoidance of infectious agents during manufacture, and different molecules can be linked with peptides to enhance their immunogenicity. Omp F is highly conserved and facilitates attachment and fusion of Salmonella typhi with host cells. Using various databases and tools, immune parameters of conserved sequences from Omp F of different isolates of Salmonella typhi were tested to predict probable epitopes. Binding analysis of the peptides with MHC molecules, epitopes conservancy, population coverage, and linear B cell epitope prediction were analyzed. Among all those predicted peptides, ESYTDMAPY epitope interacted with six MHC alleles and it shows highest amount of interaction compared to others. The cumulative population coverage for these epitopes as vaccine candidates was approximately 70%. Structural analysis suggested that epitope ESYTDMAPY fitted well into the epitope-binding groove of HLA-C*12:03, as this HLA molecule was common which interact with each and every predicted epitopes. So, this potential epitope may be linked with other molecules to enhance its immunogenicity and used for vaccine development.     

噬菌体展示技术及其在肿瘤研究中的应用

噬菌体表面展示技术是一项特异性多肽或蛋白的筛选技术,它将随机序列的多肽或蛋白片段与噬菌体衣壳蛋白融合表达而呈现于病毒表面,被展示的多肽能保持相对独立的空间结构,使其能够与配体作用而达到模仿性筛选特异性分子表位,从而提供了高通量高效率的筛选系统。近年来噬菌体展示技术已广泛应用于肿瘤抗原抗体库的建立、单克隆抗体制备、多肽筛选、疫苗研制、肿瘤相关抗原筛选和抗原表位研究、药物设计、癌症检测和诊断、基因治疗及细胞信号转导研究等。就近年来噬菌体展示技术在肿瘤相关研究中的运用作以综述。     

A universal T cell epitope-containing peptide from hepatitis B surface antigen can enhance antibody specific for HIV gp120.

Peptide-based vaccines that directly target T cell or B cell epitopes may have significant advantages over conventional vaccines. Further, synthetic chimeric peptides that combine strong T cell epitopes with poorly immunogenic, but immunodominant, B cell epitopes or strain-conserved B cell epitopes may be useful in eliciting antibody to such important regions. Here we characterize a human T cell epitope analyzed in 54 individuals immunized with a hepatitis B virus surface Ag vaccine. Primary cultures from a total of 59 immunized donors were assessed for their ability to respond to hepatitis B virus surface Ag and peptides, and five were non-responders (8.5%). T cell lines were established from the remaining 54 responders. Of the responders, it was found that the peptide representing amino acids 19 through 33 (19-33) elicited significant proliferation in lines derived from 50 donors. This "universal" T cell epitope, which was recognized in donors of many different HLA-DR and -DQ haplotypes, was then used to construct a chimeric peptide containing 19-33 and the third V region loop structure (V3 loop) of HIV-1 envelope gp 120, in an attempt to augment the immune response to the V3 loop peptide. The V3 loop is the region to which significant neutralizing antibody is directed. Thus, a strong immune response to a synthetic peptide that contains the strain-conserved V3 loop region could have significant therapeutic implications. The V3 loop/19-33 peptide was then used to prime mice, to determine whether V3 loop-specific antibody could be induced. The peptide elicited potent 19-33-specific proliferation in T cells isolated from draining lymph nodes, and in six of six mice anti-V3 loop antibody was elicited. Further, V3 loop/19-33-primed animals made significant levels of antibody that bound rgp120. These data suggest that, when a major T cell epitope is synthesized in tandem with the V3 loop, a significant immune response against the loop can be elicited. Thus, given the finding that neutralizing antibody may play a role in the control and/or prevention of HIV infection, an HIV vaccine composed of a T cell epitope-containing peptide may prove effective. In addition, this type of approach can be generalized to the design of peptide-based vaccines.     

Antigens and immunoevasins: opponents in cytomegalovirus immune surveillance

CD8+ T cells are the main effector cells for the immune control of cytomegaloviruses. To subvert this control, human and mouse cytomegaloviruses each encode a set of immune-evasion proteins, referred to here as immunoevasins, which interfere specifically with the MHC class I pathway of antigen processing and presentation. Although the concerted action of immunoevasins prevents the presentation of certain viral peptides, other viral peptides escape this blockade conditionally or constitutively and thereby provide the molecular basis of immune surveillance by CD8+ T cells. The definition of viral antigenic peptides that are presented despite the presence of immunoevasins adds a further dimension to the prediction of protective epitopes for use in vaccines.     

Estimating the diversity of peptide populations from limited sequence data

MOTIVATION: Combinatorial libraries of peptides such as those displayed on the surface of a bacteriophage particle have become widely used tools for characterizing protein-protein and protein-small molecule interactions. The quality of a library frequently depends on its completeness, or diversity-the proportion of possible sequences actually present in the library. The diversity of these libraries is frequently quoted on the basis of phage titers that provide little information about their completeness. RESULTS: Here, an analytical expression for diversity is introduced and a method for estimating the diversity of a peptide library from the sequences of a limited number of the members of the library is demonstrated. The diversities of a number of computationally constructed and actual peptide libraries are estimated using this method.