Identification of distinct antibody epitopes and mimotopes from a peptide array of 5520 randomly generated sequences

Serotyping of Toxoplasma gondii Infection Using Peptide Membrane Arrays

The intracellular parasite Toxoplasma gondii can cause chronic infections in most warm-blooded animals, including humans. In the USA, strains belonging to four different Toxoplasma clonal lineages (types 1, 2, 3, and 12) are commonly isolated, whereas strains not belonging to these lineages are predominant in other continents such as South America. Strain type plays a pivotal role in determining the severity of Toxoplasma infection. Therefore, it is epidemiologically relevant to develop a non-invasive and inexpensive method for determining the strain type in Toxoplasma infections and to correlate the genotype with disease outcome. Serological typing is based on the fact that many host antibodies are raised against immunodominant parasite proteins that are highly polymorphic between strains. However, current serological assays can only reliably distinguish type 2 from non-type 2 infections. To improve these assays, mouse, rabbit, and human infection serum were reacted against 950 peptides from 62 different polymorphic Toxoplasma proteins by using cellulose membrane peptide arrays. This allowed us to identify the most antigenic peptides and to pinpoint the most relevant polymorphisms that determine strain specificity. Our results confirm the utility of previously described peptides and identify novel peptides that improve and increase the specificity of the assay. In addition, a large number of novel proteins showed potential to be used for Toxoplasma diagnosis. Among these, peptides derived from several rhoptry, dense granule, and surface proteins represented promising candidates that may be used in future experiments to improve Toxoplasma serotyping. Moreover, a redesigned version of the published GRA7 typing peptide performed better and specifically distinguished type 3 from non-type 3 infections in sera from mice, rabbits, and humans.

Prospects from systems serology research

Antibodies are highly functional glycoproteins capable of providing immune protection through multiple mechanisms, including direct pathogen neutralization and the engagement of their Fc portions with surrounding effector immune cells that induce anti-pathogenic responses. Small modifications to multiple antibody biophysical features induced by vaccines can significantly alter functional immune outcomes, though it is difficult to predict which combinations confer protective immunity. In order to give insight into the highly complex and dynamic processes that drive an effective humoral immune response, here we discuss recent applications of 'Systems Serology', a new approach that uses data-driven (also called 'machine learning') computational analysis and high-throughput experimental data to infer networks of important antibody features associated with protective humoral immunity and/or Fc functional activity. This approach offers the ability to understand humoral immunity beyond single correlates of protection, assessing the relative importance of multiple biophysical modifications to antibody features with multivariate computational approaches. Systems Serology has the exciting potential to help identify novel correlates of protection from infection and may generate a more comprehensive understanding of the mechanisms behind protection, including key relationships between specific Fc functions and antibody biophysical features (e.g. antigen recognition, isotype, subclass and/or glycosylation events). Reviewed here are some of the experimental and computational technologies available for Systems Serology research and evidence that the application has broad relevance to multiple different infectious diseases including viruses, bacteria, fungi and parasites.

Machine Learning on Signal-to-Noise Ratios Improves Peptide Array Design in SAMDI Mass Spectrometry

Emerging peptide array technologies are able to profile molecular activities within cell lysates. However, the structural diversity of peptides leads to inherent differences in peptide signal-to-noise ratios (S/N). These complex effects can lead to potentially unrepresentative signal intensities and can bias subsequent analyses. Within mass spectrometry-based peptide technologies, the relation between a peptide's amino acid sequence and S/N remains largely nonquantitative. To address this challenge, we present a method to quantify and analyze mass spectrometry S/N of two peptide arrays, and we use this analysis to portray quality of data and to design future arrays for SAMDI mass spectrometry. Our study demonstrates that S/N varies significantly across peptides within peptide arrays, and variation in S/N is attributable to differences of single amino acids. We apply supervised machine learning to predict peptide S/N based on amino acid sequence, and identify specific physical properties of the amino acids that govern variation of this metric. We find low peptide-S/N concordance between arrays, demonstrating that different arrays require individual characterization and that global peptide-S/N relationships are difficult to identify. However, with proper peptide sampling, this study illustrates how machine learning can accurately predict the S/N of a peptide in an array, allowing for the efficient design of arrays through selection of high S/N peptides.

Single amino acid fingerprinting of the human antibody repertoire with high density peptide arrays

The antibody species that patrol in a patient's blood are an invaluable part of the immune system. While most of them shield us from life-threatening infections, some of them do harm in autoimmune diseases. If we knew exactly all the antigens that elicited all the antibody species within a group of patients, we could learn which ones correlate with immune protection, are irrelevant, or do harm. Here, we demonstrate an approach to this question: First, we use a plethora of phage-displayed peptides to identify many different serum antibody binding peptides. Next, we synthesize identified peptides in the array format and rescreen the serum used for phage panning to validate antibody binding peptides. Finally, we systematically vary the sequence of validated antibody binding peptides to identify those amino acids within the peptides that are crucial for binding "their" antibody species. The resulting immune fingerprints can then be used to trace them back to potential antigens. We investigated the serum of an individual in this pipeline, which led to the identification of 73 antibody fingerprints. Some fingerprints could be traced back to their most likely antigen, for example the immunodominant capsid protein VP1 of enteroviruses, most likely elicited by the ubiquitous poliovirus vaccination. Thus, with our approach, it is possible, to pinpoint those antibody species that correlate with a certain antigen, without any pre-information. This can help to unravel hitherto enigmatic diseases.

A General Method to Discover Epitopes from Sera

Antigen-antibody complexes are central players in an effective immune response. However, finding those interactions relevant to a particular disease state can be arduous. Nonetheless many paths to discovery have been explored since deciphering these interactions can greatly facilitate the development of new diagnostics, therapeutics, and vaccines. In silico B cell epitope mapping approaches have been widely pursued, though success has not been consistent. Antibody mixtures in immune sera have been used as handles for biologically relevant antigens, but these and other experimental approaches have proven resource intensive and time consuming. In addition, these methods are often tailored to individual diseases or a specific proteome, rather than providing a universal platform. Most of these methods are not able to identify the specific antibody’s epitopes from unknown antigens, such as un-annotated neo antigens in cancer. Alternatively, a peptide library comprised of sequences unrestricted by naturally-found protein space provides for a universal search for mimotopes of an antibody’s epitope. Here we present the utility of such a non-natural random sequence library of 10,000 peptides physically addressed on a microarray for mimotope discovery without sequence information of the specific antigen. The peptide arrays were probed with serum from an antigen-immunized rabbit, or alternatively probed with serum pre-absorbed with the same immunizing antigen. With this positive and negative screening scheme, we identified the library-peptides as the mimotopes of the antigen. The unique library peptides were successfully used to isolate antigen-specific antibodies from complete immune serum. Sequence analysis of these peptides revealed the epitopes in the immunized antigen. We present this method as an inexpensive, efficient method for identifying mimotopes of any antibody’s targets. These mimotopes should be useful in defining both components of the antigen-antibody complex.

Peptide Arrays on Planar Supports

On a past volume of this monograph we have reviewed general aspects of the varied technologies available to generate peptide arrays. Hallmarks in the development of the technology and a main sketch of preparative steps and applications in binding assays were used to walk the reader through details of peptide arrays. In this occasion, we resume from that work and bring in some considerations on quantitative evaluation of measurements as well as on selected reports applying the technology.

Heat-enhanced peptide synthesis on Teflon-patterned paper

In this report, we describe the methodology for 96 parallel organic syntheses of peptides on Teflon-patterned paper assisted by heating with an infra-red lamp.

Discovering cancer biomarkers from clinical samples by protein microarrays

Cancer biomarkers are of potential use in early cancer diagnosis, anticancer therapy development, and monitoring the responses to treatments. Protein-based cancer biomarkers are major forms in use, as they are much easier to be monitored in body fluids or tissues. For cancer biomarker discovery, high-throughput techniques such as protein microarrays hold great promises, because they are capable of global unbiased monitoring but with a miniaturized format. In doing so, novel and cancer type specific biomarkers can be systematically discovered at an affordable cost. In this review, we give a relatively complete picture on protein microarrays applied to clinical samples for cancer biomarker discovery, and conclude this review with the future perspectives.

Time-Frequency Analysis of Peptide Microarray Data: Application to Brain Cancer Immunosignatures

One of the gravest dangers facing cancer patients is an extended symptom-free lull between tumor initiation and the first diagnosis. Detection of tumors is critical for effective intervention. Using the body’s immune system to detect and amplify tumor-specific signals may enable detection of cancer using an inexpensive immunoassay. Immunosignatures are one such assay: they provide a map of antibody interactions with random-sequence peptides. They enable detection of disease-specific patterns using classic train/test methods. However, to date, very little effort has gone into extracting information from the sequence of peptides that interact with disease-specific antibodies. Because it is difficult to represent all possible antigen peptides in a microarray format, we chose to synthesize only 330,000 peptides on a single immunosignature microarray. The 330,000 random-sequence peptides on the microarray represent 83% of all tetramers and 27% of all pentamers, creating an unbiased but substantial gap in the coverage of total sequence space. We therefore chose to examine many relatively short motifs from these random-sequence peptides. Time-variant analysis of recurrent subsequences provided a means to dissect amino acid sequences from the peptides while simultaneously retaining the antibody–peptide binding intensities. We first used a simple experiment in which monoclonal antibodies with known linear epitopes were exposed to these random-sequence peptides, and their binding intensities were used to create our algorithm. We then demonstrated the performance of the proposed algorithm by examining immunosignatures from patients with Glioblastoma multiformae (GBM), an aggressive form of brain cancer. Eight different frameshift targets were identified from the random-sequence peptides using this technique. If immune-reactive antigens can be identified using a relatively simple immune assay, it might enable a diagnostic test with sufficient sensitivity to detect tumors in a clinically useful way.

Optimization of peptide arrays for studying antibodies to hepatitis C virus continuous epitopes

Accurate and in-depth mapping of antibody responses is of great value in vaccine and antibody research. Using hepatitis C virus (HCV) as a model, we developed an affordable and high-throughput microarray-based assay for mapping antibody specificities to continuous antibody epitopes of HCV at high resolution. Important parameters in the chemistry for conjugating peptides/antigens to the array surface, the array layout, fluorophore choice and the methods for data analysis were investigated. Microscopic glass slide pre-coated with N-Hydroxysuccinimide (NHS)-ester (Slide H) was the preferred surface for conjugation of aminooxy-tagged peptides. This combination provides a simple chemical means to orient the peptides to the conjugation surface via an orthogonal covalent linkage at the N- or C-terminus of each peptide. The addition of polyvinyl alcohol to printing buffer gave uniform spot morphology and improved sensitivity and specificity of binding signals. Libraries of overlapping peptides covering the HCV E1 and E2 glycoprotein polypeptides (15-mer, 10 amino acids overlap) of 6 major HCV genotypes and the entire polypeptide sequence of the prototypic strain H77 were synthesized and printed in quadruplets in the assays. The utility of the peptide arrays was confirmed using HCV monoclonal antibodies (mAbs) specific to known continuous epitopes and immune sera of rabbits immunized with HCV antigens. The methods developed here can be easily adapted to studying antibody responses to antigens relevant in vaccine and autoimmune research.

Epitope mapping of the nucleocapsid protein of sendai virus and application of antigenic epitopes for the ELISA-based diagnosis of sendai virus infection

Sendai virus (SeV) is one of the most prevalent viral pathogens infecting laboratory mice and rats. To date, mature SeV virions have been used as antigens for serological diagnosis. To develop antigens that are more specific and easier to prepare for diagnosis, we examined the antigenic sites in the nucleocapsid protein (NP) of SeV with antisera from experimentally SeV-infected mice and a peptide array membrane containing overlapping 10-mer peptides covering the entire NP. We found antigenic linear sequences in two regions, amino acids 120-160 and 420-500, of the SeV-NP. From these antigenic sequences, we applied two synthesized peptides, IVKTRDMEYERTTEWL and FVTLHGAERLEEETNDE, which correspond to positions 119-134 and 458-474 of the SeV-NP, respectively, as antigens in an enzyme-linked immunosorbent assay (ELISA). Evaluation of the ELISAs using these peptides revealed that they were specific to anti-SeV antisera. Furthermore, the ELISAs using these peptides were able to distinguish between SeV-positive and SeV-negative mouse sera to the same extent as a commercial ELISA kit. These results indicate that these peptides are useful for the serological diagnosis of SeV infection.

New insights into the antigenic structure of the glycoprotein E(rns) of classical swine fever virus by epitope mapping

The E(rns) glycoprotein of classical swine fever virus (CSFV) has been studied in detail concerning biochemical and functional properties, whereas less is known about its antigenic structure. In order to define epitopes recognized by CSFV-specific antibodies, the binding sites of seven E(rns)-specific monoclonal antibodies were investigated. Mapping experiments using chimeric E(rns) proteins, site-directed mutagenesis and an overlapping peptide library identified one antigenic region located between amino acids (aa) 55 to 110 on the E(rns) protein of CSFV Alfort/187. The domain comprises three linear motifs *(64)TNYTCCKLQ(72), (73)RHEWNKHGW(81), and (88)DPWIQLMNR(96), respectively, and two aa at position 102 and 107 that are crucial for the interaction with antibodies. Additionally, the presentation of the epitope in a correct conformation is mandatory for an efficient antibody binding. These findings allow a better understanding of the organization and the structure of the E(rns) and provide valuable information with regard to the development of E(rns)-based diagnostic tests.

Physical characterization of the "immunosignaturing effect"

Identifying new, effective biomarkers for diseases is proving to be a challenging problem. We have proposed that antibodies may offer a solution to this problem. The physical features and abundance of antibodies make them ideal biomarkers. Additionally, antibodies are often elicited early in the ontogeny of different chronic and infectious diseases. We previously reported that antibodies from patients with infectious disease and separately those with Alzheimer's disease display a characteristic and reproducible "immunosignature" on a microarray of 10,000 random sequence peptides. Here we investigate the physical and chemical parameters underlying how immunosignaturing works. We first show that a variety of monoclonal and polyclonal antibodies raised against different classes of antigens produce distinct profiles on this microarray and the relative affinities are determined. A proposal for how antibodies bind the random sequences is tested. Sera from vaccinated mice and people suffering from a fugal infection are individually assayed to determine the complexity of signals that can be distinguished. Based on these results, we propose that this simple, general and inexpensive system could be optimized to generate a new class of antibody biomarkers for a wide variety of diseases.

Production and characterization of peptide antibodies

Proteins are effective immunogens for generation of antibodies. However, occasionally the native protein is known but not available for antibody production. In such cases synthetic peptides derived from the native protein are good alternatives for antibody production. These peptide antibodies are powerful tools in experimental biology and are easily produced to any peptide of choice. A widely used approach for production of peptide antibodies is to immunize animals with a synthetic peptide coupled to a carrier protein. Very important is the selection of the synthetic peptide, where factors such as structure, accessibility and amino acid composition are crucial. Since small peptides tend not to be immunogenic, it may be necessary to conjugate them to carrier proteins in order to enhance immune presentation. Several strategies for conjugation of peptide-carriers applied for immunization exist, including solid-phase peptide-carrier conjugation and peptide-carrier conjugation in solution. Upon immunization, adjuvants such as Al(OH)(3) are added together with the immunogenic peptide-carrier conjugate, which usually leads to high-titred antisera. Following immunization and peptide antibody purification, the antibodies are characterized based on their affinity or specificity. An efficient approach for characterization of peptide antibodies is epitope mapping using peptide based assays. This review describes standard solid-phase approaches for generation of peptide antibodies with special emphasis on peptide selection, generation of peptide conjugates for immunization and characterization of the resulting peptide antibodies.

Development of a bioactive fiber with immobilized synthetic peptides designed from the active site of a beetle defensin

The 9-mer peptides RLYLRIGRR and RLLLRIGRR were immobilized to amino-functionalized cotton fibers by a modification of the SPOT synthesis technique. The antibacterial activities of the peptide-immobilized cotton fibers against Staphylococcus aureus and methicillin-resistant S. aureus (MRSA) were investigated. Antibacterial assays revealed that these fibers inhibit the growth of MRSA and the antibacterial activities were maintained after washing and sterilization by autoclaving. The anticancer effect of the peptide-immobilized fiber was also investigated with mouse myeloma cells and human leukemia cells. These results indicate that these fibers have strong growth inhibition activity against bacteria and cancer cells.

Exploring antibody recognition of sequence space through random-sequence peptide microarrays

A universal platform for efficiently mapping antibody epitopes would be of great use for many applications, ranging from antibody therapeutic development to vaccine design. Here we tested the feasibility of using a random peptide microarray to map antibody epitopes. Although peptide microarrays are physically constrained to ∼10(4) peptides per array, compared with 10(8) permitted in library panning approaches such as phage display, they enable a much more high though put and direct measure of binding. Long (20 mer) random sequence peptides were chosen for this study to look at an unbiased sampling of sequence space. This sampling of sequence space is sparse, as an exact epitope sequence is unlikely to appear. Commercial monoclonal antibodies with known linear epitopes or polyclonal antibodies raised against engineered 20-mer peptides were used to evaluate this array as an epitope mapping platform. Remarkably, peptides with the most sequence similarity to known epitopes were only slightly more likely to be recognized by the antibody than other random peptides. We explored the ability of two methods singly and in combination to predict the actual epitope from the random sequence peptides bound. Though the epitopes were not directly evident, subtle motifs were found among the top binding peptides for each antibody. These motifs did have some predictive ability in searching for the known epitopes among a set of decoy sequences. The second approach using a windowing alignment strategy, was able to score known epitopes of monoclonal antibodies well within the test dataset, but did not perform as well on polyclonals. Random peptide microarrays of even limited diversity may serve as a useful tool to prioritize candidates for epitope mapping or antigen identification.

Characterisation of the epitope for a herpes simplex virus glycoprotein B-specific monoclonal antibody with high protective capacity

Monoclonal antibody (MAb) 2c, specific for glycoprotein B of herpes simplex virus (HSV), had been shown to mediate clearance of infection from the mucous membranes of mice, thereby completely inhibiting mucocutaneous inflammation and lethality, even in mice depleted of both CD4(+) and CD8(+) cells. Additionally, ganglionic infection was highly restricted. In vitro, MAb 2c exhibits a potent complement-independent neutralising activity against HSV type 1 and 2, completely inhibits the viral cell-to-cell spread as well as the syncytium formation induced by syncytial HSV strains (Eis-Hübinger et al. in Intervirology 32:351-360, 1991; Eis-Hübinger et al. in J Gen Virol 74:379-385, 1993). Here, we describe the mapping of the epitope for MAb 2c. The antibody was found to recognise a discontinuous epitope comprised of the HSV type 1 glycoprotein B residues 299 to 305 and one or more additional discontinuous regions that can be mimicked by the sequence FEDF. Identification of the epitope was confirmed by loss of antibody binding to mutated glycoprotein B with replacement of the epitopic key residues, expressed in COS-1 cells. Similarly, MAb 2c was not able to neutralise HSV mutants with altered key residues, and MAb 2c was ineffective in mice inoculated with such mutants. Interestingly, identification and fine-mapping of the discontinuous epitope was not achieved by binding studies with truncated glycoprotein B variants expressed in COS cells but by peptide scanning with synthetic overlapping peptides and peptide key motif analysis. Reactivity of MAb 2c was immensely increased towards a peptide composed of the glycoprotein B residues 299 to 305, a glycine linker, and a C-terminal FEDF motif. If it could be demonstrated that antibodies of the specificity and bioactivity of MAb 2c can be induced by the epitope or a peptide mimicking the epitope, strategies for active immunisation might be conceivable.

Caveolin 1 is required for the activation of endothelial nitric oxide synthase in response to 17beta-estradiol

Evidence suggests that estrogen mediates rapid endothelial nitric oxide synthase (eNOS) activation via estrogen receptor-a (ERalpha) within the plasma membrane of endothelial cells (EC). ERalpha is known to colocalize with caveolin 1, the major structural protein of caveolae, and caveolin 1 stimulates the translocation of ERalpha to the plasma membrane. However, the role played by caveolin 1 in regulating 17beta-estradiol-mediated NO signaling in EC has not been adequately resolved. Thus, the purpose of this study was to explore how 17beta-estradiol stimulates eNOS activity and the role of caveolin 1 in this process. Our data demonstrate that modulation of caveolin 1 expression using small interfering RNA or adenoviral gene delivery alters ERalpha localization to the plasma membrane in EC. Further, before estrogen stimulation ERalpha associates with caveolin 1, whereas stimulation promotes a pp60(Src)-mediated phosphorylation of caveolin 1 at tyrosine 14, increasing ERalpha-PI3 kinase interactions and disrupting caveolin 1-ERalpha interactions. Adenoviral mediated overexpression of a phosphorylation-deficient mutant of caveolin (Y14FCav) attenuated the ERalpha/PI3 kinase interaction and prevented Akt-mediated eNOS activation. Furthermore, Y14FCav overexpression reduced eNOS phosphorylation at serine1177 and decreased NO generation after estrogen exposure. Using a library of overlapping peptides we identified residues 62-73 of caveolin 1 as the ERalpha-binding site. Delivery of a synthetic peptide based on this sequence decreased ERalpha plasma membrane translocation and reduced estrogen-mediated activation of eNOS. In conclusion, caveolin 1 stimulates 17beta-estradiol-induced NO production by promoting ERalpha to the plasma membrane, which facilitates the activation of the PI3 kinase pathway, leading to eNOS activation and NO generation.

A general method for characterization of humoral immunity induced by a vaccine or infection

A universal system to diagnose disease, characterize infection or evaluate the response to a vaccine would be useful. Towards this end we introduce a machine-readable platform that we term "Immunosignaturing". Rather than attempt to identify antibodies one by one, we splay the entire immune response across an array of 10,000 random sequence peptides. This segregates serum antibodies sufficiently to group and characterize responses caused by disease or vaccination. In the present study, we explore in detail the murine immunosignature to influenza A/PR/8/34 immunization and subsequent challenge. Even though the peptides are random sequence, the response to immunization and challenge is quite apparent. We find that the immunosignatures contained information not evident in whole virus ELISA. Antibody recognition of 283 influenza-specific peptides increased upon immunization and remained elevated for 211 days post-challenge. A set of 65 peptides, which overlapped 39 of the peptides that were consistent across time, was capable of distinguishing mice based on infectious dose, while whole virus ELISA could not. These peptide populations are consistently recognized in independent biological replicates of infection and are largely, but not solely, composed of virus reactive antibodies. The immunosignaturing analysis was expanded to analysis of human recipients of the 2006/2007 seasonal influenza vaccine. We find that 30 peptides are significantly recognized by all donors 21 days post-immunization and have the power to distinguish immune from pre-immune samples. Taken together the data suggest that immunosignaturing on a random peptide array can serve as a universal platform to assess antibody status in ways that cannot be replicated by conventional immunological assays.

Polypyrrole-peptide microarray for biomolecular interaction analysis by SPR imaging

Nowadays, high-throughput analysis of biological events is a great challenge which could take benefit of the recent development of microarray devices. The great potential of such technology is related to the availability of a chip bearing a large set of probes, stable and easy to obtain, and suitable for ligand-binding detection. Here, we describe a new method based on polypyrrole chemistry, allowing the covalent immobilization of peptides in a microarray format and on a gold surface compatible with the use of surface plasmon resonance. This technique is then illustrated by the detection and characterization of antibodies induced by hepatitis C virus and present in patients' serums.

Rapid identification of linear protein domain binding motifs using peptide SPOT arrays

Understanding protein-protein interactions is a key step in unravelling the roles proteins play in cellular function. The ability to analyse protein-protein interactions rapidly and economically is a powerful research tool. Using peptide SPOT arrays, peptides of known sequence can be synthesized directly in discrete spots on a cellulose membrane and assayed for an interaction with a protein of interest. Several hundred peptides can be synthesized on each cellulose membrane; therefore, this method is amenable to designing high-throughput peptide binding studies. SPOT arrays are particularly well suited for deducing peptidic binding motifs within proteins that are difficult to purify in sufficient quantities for traditional biochemical analyses, as well as for determining binding specificities and targets for proteins of undefined function. Peptide SPOT arrays have been used extensively to define protein-protein interaction surfaces. In this chapter, we will outline the steps involved in designing and probing a peptide SPOT array to identify peptide binding motifs for a protein of interest.

Antibody epitope mapping using de novo generated synthetic peptide libraries

Identification of antibody binding peptides may be based on the primary structure of the protein antigens used to raise the antibodies (knowledge- or sequence-based approach). This involves scanning the entire sequence of the antigen with overlapping peptides (peptide scan), which are then probed for binding to the respective antibody. If a natural protein binding partner is not known, one has to use combinatorial synthetic libraries with peptide mixtures, randomly generated chemically synthesized libraries of single individual sequences, or biologically produced libraries (e.g., phage display libraries, see Chapter "Epitope Mapping Using Phage Display Peptide Libraries"). This chapter describes chemically synthesized combinatorial, as well as randomly generated peptide libraries, collectively called de novo approaches, and their application for antibody epitope mapping.

Epitope mapping using randomly generated peptide libraries

Characterizing the immune response towards a pathogen is of high interest for vaccine development and diagnosis. However, the characterization of disease-related antigen-antibody interactions is of enormous complexity. Here, we present a method comprising binding studies of serum antibody pools to synthetic random peptide libraries, and data analysis of the resulting binding patterns. The analysis can be applied to classify and predict different groups of individuals and to detect the peptides which best discriminate the investigated groups. As an example, the analysis of antibody repertoire binding patterns of different mice strains and of mice infected with helminth parasites is shown. Due to the design of the library and the sophisticated analysis, the method is able to classify and predict the different mice strains and the infection with very high accuracy and with a very small number of peptides, illustrating the potential of random library screenings in determining molecular markers for diagnosis.

Broad neutralizing human monoclonal antibodies against influenza virus from vaccinated healthy donors

Human monoclonal antibodies (HuMAbs) prepared from patients with viral infections could provide information on human epitopes important for the development of vaccines as well as potential therapeutic applications. Through the fusion of peripheral blood mononuclear cells from a total of five influenza-vaccinated volunteers, with newly developed murine-human chimera fusion partner cells, named SPYMEG, we obtained 10 hybridoma clones stably producing anti-influenza virus antibodies: one for influenza A H1N1, four for influenza A H3N2 and five for influenza B. Surprisingly, most of the HuMAbs showed broad reactivity within subtype and four (two for H3N2 and two for B) showed broad neutralizing ability. Importantly, epitope mapping revealed that the two broad neutralizing antibodies to H3N2 derived from different donors recognized the same epitope located underneath the receptor-binding site of the hemagglutinin globular region that is highly conserved among H3N2 strains.

Generation of monoclonal antibodies against a soluble form of lectin-like oxidized low-density lipoprotein receptor-1 and development of a sensitive chemiluminescent enzyme immunoassay

Lectin-like oxidized low-density lipoprotein receptor-1 (LOX-1), expressed prominently in atherosclerotic lesions, is cleaved and released as a soluble LOX-1 (sLOX-1), which is a specific biomarker to diagnose acute coronary syndrome (ACS) at an early stage. Although sLOX-1 levels in patient's blood were successfully measured with our previously established enzyme-linked immunosorbent assay (ELISA), the assay was not sensitive enough to detect normal serum levels of sLOX-1 in healthy human subjects. We therefore developed sensitive and specific monoclonal antibodies (mAbs) against sLOX-1 in order to establish a more sensitive immunoassay. Mice were immunized with recombinant human LOX-1 extracellular domain. mAbs were subsequently generated by standard myeloma cell fusion techniques with a novel screening method using time-resolved fluorescence immunoassay. Using two anti-human sLOX-1 mAbs and alkaline phosphatase as a label, a sandwich chemiluminescent enzyme immunoassay (CLEIA) was developed. In total, nine mAbs were obtained. The dissociation constant (K(d)) values of these mAbs for sLOX-1 were 0.12-1.32 nM. Characteristics of these mAbs were estimated and the best combination for CLEIA was selected. The newly established CLEIA could determine sLOX-1 levels as low as 8 pg/mL, and thus, was sensitive enough to measure serum sLOX-1 levels in normal human subjects and to evaluate subtle differences. Values for sLOX-1 measured by monoclonal CLEIA and polyclonal ELISA were highly correlated (r(2)=0.7594, p<0.0001). Area under the curve values of the receiver-operating characteristic curves in detecting ACS were 0.948 and 0.978 for monoclonal CLEIA and polyclonal ELISA, respectively. Thus, a more sensitive sLOX-1 CLEIA was established using newly developed mAbs against sLOX-1. In addition to its advantage in early diagnosis of ACS, this assay may also be useful in predicting cardiovascular disease risk in disease-free subjects.

The spot technique: synthesis and screening of peptide macroarrays on cellulose membranes

Peptide arrays are a widely used tool for drug development. For peptide-based drug design it is necessary to screen a large number of peptides. However, there are often difficulties with this approach. Most common peptide synthesis techniques are able to simultaneously synthesize only up to a few hundred single peptides. Spot synthesis is a positionally addressable, multiple synthesis technique offering the possibility of synthesizing and screening up to 10,000 peptides or peptide mixtures on cellulose or other membrane surfaces. In this chapter we present the basic procedures and screening methods related to spot synthesis and outline protocols for easy-to-use detection methods on these peptide arrays.

Construction and evaluation of an automated light directed protein-detecting microarray synthesizer

We have designed, constructed, and evaluated an automated instrument that has produced high-density arrays with more than 30 000 peptide features within a 1.5 cm(2) area of a glass slide surface. These arrays can be used for high throughput library screening for protein binding ligands, for potential drug candidate molecules, or for discovering biomarkers. The device consists of a novel fluidics system, a relay control electrical system, an optics system that implements Texas Instruments' digital micromirror device (DMD), and a microwave source for accelerated synthesis of peptide arrays. The instrument implements two novel solid phase chemical synthesis strategies for producing peptide and peptoid arrays. Biotin-streptavidin and DNP anti-DNP (dinitrophenol) models of antibody small molecule interactions were used to demonstrate and evaluate the instrument's capability to produce high-density protein detecting arrays. Several screening assay and detection schemes were explored with various levels of efficiency and assays with sensitivity of 10 nM were also possible.

Large-scale analysis of protein-protein interactions using cellulose-bound peptide arrays

Peptide arrays for screening large numbers of peptide fragments and probing with large numbers of samples is discussed.

Affinity profiling using the peptide microarray technology: a case study

Little about the reliability of measurements obtained using synthetic peptide microarrays is known. We report results from a study on the quantitative reliability of microarrays manufactured by robot-supported immobilization of presynthesized peptides for different microarray platforms. Technological precision is assessed for inter- and intra-device readout comparisons. Correlations between measured signals and known dissociation constants using a phenomenological model derived from the mass action law are discussed. Special emphasis is on discussing the pitfalls of high-throughput affinity measurements. We show that the quantitative determination of binding affinities is prone to be biased toward a mean affinity of around 10(-7)M, while the classification of peptides into either "binders" or "nonbinders" provides very high prediction accuracy. The experimental requirements needed to obtain reliable binding affinity predictions are discussed.

Intein-mediated peptide arrays for epitope mapping and kinase/phosphatase assays

Synthetic peptides are widely used for production and analysis of antibodies as well as in the study of protein modification enzymes. To circumvent the technical challenges of the existing techniques regarding peptide quantization and normalization, a new method of producing peptide arrays has been developed. This approach utilizes intein-mediated protein ligation that involves linkage of a carrier protein possessing a reactive carboxyl-terminal thioester to a peptide with an amino-terminal cysteine through a native peptide bond. Ligated protein substrates or enzyme-treated samples are arrayed on nitrocellulose membranes with a standard dot-blot apparatus and analyzed by immunoassay. This technique has improved sensitivity and reproducibility, and is suitable for various peptide-based applications. In this report, several experimental procedures including epitope mapping and the study of protein modifications were described.

From functional genomics to functional immunomics: new challenges, old problems, big rewards

The development of DNA microarray technology a decade ago led to the establishment of functional genomics as one of the most active and successful scientific disciplines today. With the ongoing development of immunomic microarray technology—a spatially addressable, large-scale technology for measurement of specific immunological response—the new challenge of functional immunomics is emerging, which bears similarities to but is also significantly different from functional genomics. Immunonic data has been successfully used to identify biological markers involved in autoimmune diseases, allergies, viral infections such as human immunodeficiency virus (HIV), influenza, diabetes, and responses to cancer vaccines. This review intends to provide a coherent vision of this nascent scientific field, and speculate on future research directions. We discuss at some length issues such as epitope prediction, immunomic microarray technology and its applications, and computation and statistical challenges related to functional immunomics. Based on the recent discovery of regulation mechanisms in T cell responses, we envision the use of immunomic microarrays as a tool for advances in systems biology of cellular immune responses, by means of immunomic regulatory network models.

Functional peptide microarrays for specific and sensitive antibody diagnostics

Peptide microarrays displaying biologically active small synthetic peptides in a high-density format provide an attractive technology to probe complex samples for the presence and/or function of protein analytes. We present a new approach for manufacturing functional peptide microarrays for molecular immune diagnostics. Our method relies on the efficiency of site-specific solution-phase coupling of biotinylated synthetic peptides to NeutrAvidin (NA) and localized microdispensing of peptide-NA-complexes onto activated glass surfaces. Antibodies are captured in a sandwich manner between surface immobilized peptide probes and fluorescence-labeled secondary antibodies. Our work includes a total of 54 peptides derived from immunodominant linear epitopes of the T7 phage capsid protein, Herpes simplex virus glycoprotein D, c-myc protein, and three domains of the Human coronavirus polymerase polyprotein and their cognate mAbs. By using spacer molecules of different type and length for NA-mediated peptide presentation, we show that the incorporation of a minimum spacer length is imperative for antibody binding, whereas the peptide immobilization direction has only secondary importance for antibody affinity and binding. We further demonstrate that the peptide array is capable of detecting low-picomolar concentrations of mAbs in buffered solutions and diluted human serum with high specificity.

Real-time surface plasmon resonance imaging measurements for the multiplexed determination of protein adsorption/desorption kinetics and surface enzymatic reactions on peptide microarrays

The kinetics of protein adsorption/desorption onto peptide microarrays was studied using real-time surface plasmon resonance (SPR) imaging. S protein binding interactions were examined using an array composed of five different peptides: N terminal and C terminal immobilized wild-type S peptide (S1 and S2), an alternate binding sequence derived by phage display (LB2), an NVOC-protected S peptide, and a FLAG peptide control sequence (F). Kinetic measurements of the S protein-S1 peptide interaction were analyzed to determine a desorption rate constant (k(d)) of 1.1 (+/-0.08) x 10(-2) s(-1), an adsorption rate constant (k(a)) of 1.9 (+/-0.05) x 10(5) M(-1) s(-1), and an equilibrium adsorption constant (K(Ads)) of 1.7 (+/-0.08) x 10(7) M(-1). SPR imaging equilibrium measurements of S protein to S1 peptide were performed to independently confirm the kinetically determined value of K(Ads). Rate constants for the S2 and LB2 peptides on the array were measured as follows: 1.6 (+/-0.04) x 10(5) M(-1) s(-1) (k(a)) and 1.1 (+/-0.07) x 10(-2) s(-1) (k(d)) for S2, 1.2 (+/-0.05) x 10(5) M(-1) s(-1) (k(a)) and 1.1 (+/-0.03) x 10(-2) s(-1) (k(d)) for LB2. In addition to S protein adsorption/desorption, real-time SPR imaging of peptide arrays was applied to study the surface enzymatic activities of the protease factor Xa. Enzymatic cleavage of the substrate peptide (P1) was shown to follow first-order kinetics and proceed at a rate 10 times faster than that of the mutant peptide (P2), with cleavage velocities of 5.6 (+/-0.3) x 10(-4) s(-1) for P1 and 5.7 (+/-0.3) x 10(-5) s(-1) for P2.

Peptide microarrays with site-specifically immobilized synthetic peptides for antibody diagnostics

Peptide microarrays bear the potential to discover molecular recognition events on protein level, particularly in the field of molecular immunology, in a manner and with an efficiency comparable to the performance of DNA microarrays. We developed a novel peptide microarray platform for the detection of antibodies in liquid samples. The system comprises site-specific solution phase coupling of biotinylated peptides to NeutrAvidin, localized microdispensing of peptide-NeutrAvidin conjugates onto activated glass slides and a fluorescence immuno sandwich assay format for antibody capture and detection. Our work includes synthetic peptides deduced from amino acid sequences of immunodominant linear epitopes, such as the T7 phage capsid protein, Herpes simplex virus glycoprotein D, c-myc protein and three domains of the Human coronavirus 229E polymerase polyprotein. We demonstrate that our method produces peptide arrays with excellent spot morphology which are capable of specific and sensitive detection of monoclonal antibodies from fluid samples.

Mapping of FVIII inhibitor epitopes using cellulose-bound synthetic peptide arrays

Epitope mapping using antibodies against factor VIII (FVIII) has been performed using blotting techniques with truncated and/or digested FVIII molecules. Here, we focused on the precise mapping of affinity purified IgG from patients with an immune response against blood clotting FVIII using synthetic peptide arrays on cellulose membranes comprising the entire sequence of FVIII. The aim was to elucidate the epitope profile from different inhibitors and possibly detect new epitopes, which have not been described before. The epitope patterns from five patients showed reactivity with all domains in the FVIII molecule, but were different between various patients. These results included epitopes usually buried within the folded protein. However, in competition assays using FVIII as competitive agent in a mixture with inhibitor IgG, the most immunogenic regions were located in the FVIII light chain. Our results show that the C1 domain was the region with highest immunogenicity in all patients. Here, we demonstrate that the SPOT method is very well suited for the precise location of epitopes in the core of the protein, which usually cannot be detected by other methods.

Protein "fingerprinting" in complex mixtures with peptoid microarrays

We report here that microarrays comprised of several thousand peptoids (oligo-N-substituted glycines) are useful tools for the identification of proteins via a "fingerprinting" approach. By using maltose-binding protein, glutathione S-transferase, and ubiquitin, a specific and highly reproducible pattern of binding was observed when fluorescently labeled protein was hybridized to the array. A similar pattern was obtained when binding of an unlabeled protein to the array was visualized by secondary hybridization of a labeled antibody against that protein, showing that native proteins can be identified without the requirement for prior chemical labeling. This work suggests that small-molecule microarrays might be used for more complex fingerprinting assays of potential diagnostic value.

SPOT synthesis: Reliability of array-based measurement of peptide binding affinity

Peptide arrays prepared by the SPOT synthesis technology have emerged as a proteomic tool to study molecular recognition and identify biologically active peptides. However, it was previously not clear how accurately signal intensities obtained by probing peptide arrays for protein binding really reflect the dissociation constants of the protein-peptide complexes. Using the monoclonal antibody CB4-1 as a model system, we systematically compared dissociation constants of antibody-peptide complexes with signal intensities obtained using the SPOT technology. By analyzing a set of peptides possessing different affinities to the antibody, we determined the strengths of the SPOT screening method. The accuracy of the measured results was improved by taking regional trends in the membrane surface into account. A model based on the mass action law compares well with the experimental results. Interestingly, the applied concentrations of the binding partners do not directly correspond to the effective concentrations in the assay. We show that the SPOT technology is an accurate method for assigning the spots' measured signal intensities to three different binding affinity classes. The dissociation constants of the intermediate region were found to be between pK(dis)=5 and pK(dis)=7. Altering the experimental parameters causes a directed change of this region.