The Bead blot: a method for identifying ligand-protein and protein-protein interactions using combinatorial libraries of peptide ligands

Small molecules that bind proteins can be used as ligands for protein purification and for investigating protein-protein and protein-drug interactions. Unfortunately, many methods used to identify new ligands to desired proteins suffer from common shortcomings, including the requirement that the target protein be purified and/or the requirement that the ligands be selected under conditions different from those under which it will be used. We have developed a new method called the Bead blot that can (i) select ligands to unpurified proteins, including trace proteins, present in complex materials (e.g., unfractionated plasma); (ii) select ligands to multiple proteins under a variety of conditions in a single experiment; and (iii) be used with libraries of different types of ligands. In the Bead blot, a library of ligands, synthesized on chromatography resin beads, is incubated with a starting material containing a target protein for which a ligand is sought. The proteins in the material bind to their complementary ligands according to specific affinity interactions. Then the protein-loaded beads are immobilized in a porous matrix, and the proteins are directionally eluted from the beads and captured on a membrane superimposed on the beads. The location of the target protein on the membrane is determined, and because the position of the protein(s) on the membrane reflects the position of the bead(s) in the matrix, the bead that originally bound the protein is identified, with subsequent elucidation of the ligand sequence. Ligands to several targets can be identified in one experiment. Here we demonstrate the broad utility of this method by the selection of ligands that purify plasma protein complexes or that remove pathogens from whole blood with very high affinity constants. We also select ligands to a protein based on competitive elution.     

A microscopic view of peptide and protein solvation

The structure and dynamics of the water hydrating peptides and proteins are examined here at atomic resolution via molecular dynamics simulations. Detailed solvation density and residence time data for all 20 L-amino acids in an end-capped AXA tripeptide motif are presented. In addition, the solvation of the protein chymotrypsin inhibitor 2 is investigated as a point of comparison. Residues on the surface of proteins are not isolated; they interact both locally and non-locally in sequence space, and comparison of the solvation properties of each amino acid in both the peptide and protein allow us to distinguish inherent solvation properties from context-dependent perturbations due to neighboring residues. This work moves beyond traditional radial distribution functions and presents graphical representations of preferential solvation and orientation of water by side chains and the main chain. The combination of 0.3 micros of simulation data improves the statistical sampling over previous studies and reveals the significance of bridging water molecules that stabilize and mediate side chain-side chain, side chain-main chain and main chain-main chain interactions at the solvation interface.     

A quantitative peptide array for evaluation of protein kinase activity

Peptide array, which is known as an emerging technology, has been developed for identification of protein kinase activity. For this purpose, the ability of quantitative analysis is very important because the absolute change in protein kinase activity is critical for the determination of cellular function. Here we report an original type of peptide array for quantitative evaluation of protein kinase activity by fluorescence imaging. We used the peptide array for the quantitative evaluation of the nonreceptor tyrosine kinase c-Src activity as a model for detecting protein kinase activities. By using positive and negative control peptides, we obtained the actual ratio of tyrosine phosphorylation of substrate peptide not only by purified c-Src but also by c-Src in cell lysate. In addition, the experimental approach provided simple immobilization of peptide. Our sensitive, specific, and high-throughput peptide array can be used for quantitative evaluation of kinase activity and potentially can be applied to drug discovery and screening.     

Development of peptide and protein nanotherapeutics by nanoencapsulation and nanobioconjugation

The targeted delivery of therapeutic peptide by nanocarriers systems requires the knowledge of interactions of nanomaterials with the biological environment, peptide release, and stability of therapeutic peptides. Therapeutic application of nanoencapsulated peptides are increasing exponentially and >1000 peptides in nanoencapsulated form are in different clinical/trial phase. This review covers current scenario of therapeutic protein and peptides encapsulation on polymer to metallic nanocarriers including methods of protein encapsulation, peptide bioconjugation on nanoparticles, stability enhancement of encapsulated proteins and its biomedical applications.     

Protein A磁性纳米颗粒载体的制备及应用

本研究采用本课题组合成的表面氨基化磁性纳米微球,首先通过化学共价交联制备了葡萄球菌Protein A磁性纳米微球载体（SPA-MP）,并探讨了载体制备的优化条件。然后根据生物分子特异性亲合作用原理,在外加磁场的定向控制下,通过亲和吸附、清洗和解吸附等操作,探讨了SPA-MP载体在抗体分离纯化领域的应用可行性。载体制备优化实验结果显示,通过改变蛋白质浓度、交联剂浓度和交联剂活化时间可以制备不同表面密度的SPA-MP载体。300 μg SPA,2.5% (V/V)戊二醛浓度和3小时的活化时间可以获取表面密度高达35 mg SPA/g磁性纳米微球的载体。此外,应用结果显示每克SPA-MP磁性微球载体可以结合高达14 mg 的CD25抗体,同时可有效地分离纯化人抗血清样品中的IgG抗体。     

A short peptide is a protein kinase C (PKC) alpha-specific substrate

The purpose of this study was to find protein kinase C (PKC) isozyme-specific peptides. A peptide library containing 1772 sequences was designed using Scansite and screened by MALDI-TOF MS and kinase activity assays for PKC isozyme-specificity. A peptide (Alphatomega; H-FKKQGSFAKKK-NH(2)) with high specificity for PKC alpha relative to other isozymes was identified. The peptide was phosphorylated to a greater extent by tissue lysates from B16 melanoma, HepG2, and human breast cancer, which had higher levels of activated PKC alpha, when compared to normal skin, liver, and human breast tissue lysates, respectively. Moreover, addition of Ro-31-7549, an inhibitor with great specificity for PKC alpha, to the phosphorylation reaction caused a dose-dependent reduction in phosphorylation, but no inhibition was identified with the addition of rottlerin and H-89. These results show that this peptide has great potential as a PKC alpha-specific substrate.     

A peptide mimetic of Gal-alpha 1,3-Gal is able to block human natural antibodies

The carbohydrate of Gal-alpha1,3-Gal is thought to be the major antigenic epitope present on pig vascular endothelium. The peptides that mimic the binding of antigenic epitope (Gal-alpha1,3-Gal) to lectin BS-I-B4 were identified from screening a filamentous phage-displayed random library. A phage bearing the peptide NCVSPYWCEPLAPSARA has been identified to bind the lectin strongly. Melibiose was able to inhibit the binding of the human natural anti-alpha Gal antibody to the peptide competitively. Our experiments show that the peptide mimetic of Gal-alpha1,3-Gal is able to inhibit the agglutination of pig RBCs by human natural antibody or lectin BS-I-B4. The peptide inhibitor of human natural antibodies may prove useful in pig-to-human xenotransplantation.     

Sequence-independent control of peptide conformation in liposomal vaccines for targeting protein misfolding diseases

Synthetic peptide immunogens that mimic the conformation of a target epitope of pathological relevance offer the possibility to precisely control the immune response specificity. Here, we performed conformational analyses using a panel of peptides in order to investigate the key parameters controlling their conformation upon integration into liposomal bilayers. These revealed that the peptide lipidation pattern, the lipid anchor chain length, and the liposome surface charge all significantly alter peptide conformation. Peptide aggregation could also be modulated post-liposome assembly by the addition of distinct small molecule β-sheet breakers. Immunization of both mice and monkeys with a model liposomal vaccine containing β-sheet aggregated lipopeptide (Palm1-15) induced polyclonal IgG antibodies that specifically recognized β-sheet multimers over monomer or non-pathological native protein. The rational design of liposome-bound peptide immunogens with defined conformation opens up the possibility to generate vaccines against a range of protein misfolding diseases, such as Alzheimer disease.     

Database search post-processing by neural network: Advanced facilities for identification of components in protein mixtures using mass spectrometric peptide mapping

Database search post-processing by neural network was employed in peptide mapping experiments. The database search was performed using both the known algorithms and score functions, such as Bayesian, MOWSE, Z-score, correlations between calculated and actual peptide length fractional abundance, and, in addition, the probability of protein digest pattern in peptide fingerprint, all embedded in locally developed program. The new signal-processing algorithm based on neural network improves signal-noise separation and is acceptable for automatic protein identification in mixtures. Its power was tested on Helicobacter pylori protein inventory after preceding protein separation by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). Increase in protein identification success rate was observed, and about 100 proteins were identified with no need of human participation in database search estimation.     

Ribosome display enhanced by next generation sequencing: A tool to identify antibody-specific peptide ligands

Detection of antibodies in serum has many important applications. Our goal was to develop a facile general experimental approach for identifying antibody-specific peptide ligands that could be used as the reagents for antibody detection. Our emphasis was on an approach that would allow identification of peptide ligands for antibodies in serum without the need to isolate the target antibody or to know the identity of its antigen. We combined ribosome display (RD) with the analysis of peptide libraries by next generation sequencing (NGS) of their coding RNA to facilitate identification of antibody-specific peptide ligands from random sequence peptide library. We first demonstrated, using purified antibodies, that with our approach-specific peptide ligands for antibodies with simple linear epitopes, as well as peptide mimotopes for antibodies recognizing complex epitopes, were readily identified. Inclusion of NGS analysis reduced the number of RD selection rounds that were required to identify specific ligands and facilitated discrimination between specific and spurious nonspecific sequences. We then used a model of human serum spiked with a known target antibody to develop NGS-based analysis that allowed identification of specific ligands for a target antibody in the context of an overwhelming amount of unrelated immunoglobins present in serum.     

Prediction and verification of novel peptide targets of protein tyrosine phosphatase 1B

Phosphotyrosine peptides are useful starting points for inhibitor design and for the search for protein tyrosine phosphatase (PTP) phosphoprotein substrates. To identify novel phosphopeptide substrates of PTP1B, we developed a computational prediction protocol based on a virtual library of protein sequences with known phosphotyrosine sites. To these we applied sequence-based methods, biologically meaningful filters and molecular docking. Five peptides were selected for biochemical testing of their potential as PTP1B substrates. All five peptides were equally good substrates for PTP1B compared to a known peptide substrate whereas appropriate control peptides were not recognized, showing that our protocol can be used to identify novel peptide substrates of PTP1B.     

The art of observing rare protein species in proteomes with peptide ligand libraries

The present review deals with the use of combinatorial ligand libraries, composed by hexapeptides, in the capture and concentration of the low‐abundance proteome. This method, first reported in 2005, is compared with other current methodologies aimed at exploring the “deep proteome”, such as: depletion of high‐abundance proteins (especially in sera and cerebrospinal fluid) by individual or combined antibodies (up to 20 against the most abundant species); narrow (1‐pH‐unit) IPGs (zoom gels) and prefractionation with multicompartment electrolyzers or with Off‐Gel electrophoresis. The physico‐chemical properties of the hexapeptide library are also explored, namely in assessing the proper length of the baits and the behavior of shorter oligopeptides, down to capture elicited by single amino acids. A number of examples on the use of this library is given, such as the analysis of biological fluids (human sera, urine, bile, cerebrospinal fluid) and of cell lysates (platelets, red blood cells). In all cases, it was possible to detected from three to five times as many proteins as compared to control, untreated samples. Perhaps the most spectacular results were obtained with the erythrocyte proteome, where 1570 proteins could be identified in the “minority” proteome, representing only 2% of the total cell lysate. Another interesting area of application regards the concentration and detection of trace impurities contaminanting r‐DNA proteins meant for human consumption: several host proteins, never reported before, could be revealed for the first time. Other nonhuman samples are currently under investigation, such as egg‐white (where no less than 148 unique gene products could be identified), egg yolk (with 255 unique species) and latex from Hevea brasiliensis. It is anticipated that the ligand library could be a most useful tool for detecting biomarkers for different pathologies and for drug treatment. As a future outlook, one could envision the synthesis of specialized libraries able to capture given classes of proteins (e.g., phospho‐ and glyco‐proteins). Additionally, the library could be used in association with other techniques currently in vogue, such as zoom gels, Off‐Gels, and the like.     

Generation and refinement of peptide mimetic ligands for paratope-specific purification of monoclonal antibodies

Paratope-specific purification of antibodies has distinct advantages over conventional methods of antibody purification with respect to its capacity to isolate product of high purity and immunoreactivity. The present report addresses the problems of identifying peptide ligands for the purification of antibodies reactive with nonprotein antigens. Using an anti-steroid antibody as the model, a lead sequence that bound antibody was identified from a peptide phage display library. The minimum binding unit in this sequence was deduced using a series of truncated peptides synthesized on the heads of polyethylene pins. Replacement Net analysis of the minimum binding unit identified peptides with increased affinity for the antibody. The affinity-matured peptide mimotope bound antibody in solution. By molecular modeling the peptide was superimposable onto estrone-3-glucuronide localized in the crystal structure of the antibody binding pocket. In order to resolve problems of presentation posed by the reversal of orientation of the peptide on the affinity matrix compared with the pins, the mimotope peptide was synthesized in reverse sequence using d-amino acids. The resulting affinity matrix was effective for the purification of antibody. Eluted product demonstrated molecular homogeneity and high immunoreactivity. It is concluded that the combination of biological and chemical library techniques described provides a method for the generation and affinity maturation of mimotopes for antibodies against nonprotein antigens.     

Structural properties and peptide ligand binding of the capsid homology domains of human Arc

The activity-regulated cytoskeleton-associated protein (Arc) is important for synaptic plasticity and the normal function of the brain. Arc interacts with neuronal postsynaptic proteins, but the mechanistic details of its function have not been fully established. The C-terminal domain of Arc consists of tandem domains, termed the N- and C-lobe. The N-lobe harbours a peptide binding site, able to bind multiple targets. By measuring the affinity of human Arc towards various peptides from stargazin and guanylate kinase-associated protein (GKAP), we have refined its specificity determinants. We found two sites in the GKAP repeat region that bind to Arc and confirmed these interactions by X-ray crystallography. Phosphorylation of the stargazin peptide did not affect binding affinity but caused changes in thermodynamic parameters. Comparison of the crystal structures of three high-resolution human Arc-peptide complexes identifies three conserved C–H…π interactions at the binding cavity, explaining the sequence specificity of short linear motif binding by Arc. We further characterise central residues of the Arc lobe fold, show the effects of peptide binding on protein dynamics, and identify acyl carrier proteins as structures similar to the Arc lobes. We hypothesise that Arc may affect protein-protein interactions and phase separation at the postsynaptic density, affecting protein turnover and re-modelling of the synapse. The present data on Arc structure and ligand binding will help in further deciphering these processes.     

Estimating false discovery rates for peptide and protein identification using randomized databases

MS‐based proteomics characterizes protein contents of biological samples. The most common approach is to first match observed MS/MS peptide spectra against theoretical spectra from a protein sequence database and then to score these matches. The false discovery rate (FDR) can be estimated as a function of the score by searching together the protein sequence database and its randomized version and comparing the score distributions of the randomized versus nonrandomized matches. This work introduces a straightforward isotonic regression‐based method to estimate the cumulative FDRs and local FDRs (LFDRs) of peptide identification. Our isotonic method not only performed as well as other methods used for comparison, but also has the advantages of being: (i) monotonic in the score, (ii) computationally simple, and (iii) not dependent on assumptions about score distributions. We demonstrate the flexibility of our approach by using it to estimate FDRs and LFDRs for protein identification using summaries of the peptide spectra scores. We reconfirmed that several of these methods were superior to a two‐peptide rule. Finally, by estimating both the FDRs and LFDRs, we showed for both peptide and protein identification, moderate FDR values (5%) corresponded to large LFDR values (53 and 60%).     

The development of peptide ligands that target helix 69 rRNA of bacterial ribosomes

Antibiotic resistance prevents successful treatment of common bacterial infections, making it clear that new target locations and drugs are required to resolve this ongoing challenge. The bacterial ribosome is a common target for antibacterials due to its essential contribution to cell viability. The focus of this work is a region of the ribosome called helix 69 (H69), which was recently identified as a secondary target site for aminoglycoside antibiotics. H69 has key roles in essential ribosomal processes such as subunit association, ribosome recycling, and tRNA selection. Conserved across phylogeny, bacterial H69 also contains two pseudouridines and one 3-methylpseudouridine. Phage display revealed a heptameric peptide sequence that targeted H69. Using solid-phase synthesis, peptide variants with higher affinity and improved selectivity to modified H69 were generated. Electrospray ionization mass spectrometry was used to determine relative apparent dissociation constants of the RNA–peptide complexes.     

Reversal of peptide backbone direction may result in the mirroring of protein structure

In linear polypeptides, inversion of amino acid chirality (all- to all- ) achieves a mirroring of side chain positions and interactions in conformational space. A similar mirroring of side chain positions is independently achieved by a reversal of the direction of the peptide backbone (retro modification). Thus, while an all- chain could be expected to adopt a perfect ‘mirror image’ of the three-dimensional structure of its parent all- protein, the retro-all- chain could be expected to adopt a topological equivalent of such a mirror image, through the symmetry transformations of side chain interactions. These notions, supported by sequence analyses, modelling studies, and evidence relating to the activity of ‘retro-inverso’ peptides, are extended towards the proposal, that the backbone reversed chain of a large globular protein might recognize the chiral opposite of the parent protein's substrate(s).     

A non-covalent peptide-based strategy for protein and peptide nucleic acid transduction

The development of therapeutic peptides and proteins is limited by the poor permeability and the selectivity of the cell membrane. The discovery of protein transduction domains has given a new hope for administration of large proteins and peptides in vivo. We have developed a non-covalent strategy for protein transduction based on an amphipathic peptide, Pep-1, that consists of a hydrophobic domain and a hydrophilic lysine-rich domain. Pep-1 efficiently delivers a variety of fully biologically active peptides and proteins into cells, without the need for prior chemical cross-linking or chemical modifications. The mechanism through which Pep-1 delivers active macromolecules does not involve the endosomal pathway and the dissociation of the Pep-1/macromolecule particle occurs immediately after it crosses the cell membrane. Pep-1 has been successfully applied to the screening of therapeutic peptides in vivo and presents several advantages: stability in physiological buffer, lack of toxicity and of sensitivity to serum. In conclusion, Pep-1 technology could contribute significantly to the development of fundamental and therapeutic applications and be an alternative to covalent protein transduction domain-based technologies.