Generation of peptides by human erythrocytes: facts and artifacts

Previously reported data on peptide composition of human erythrocyte lysate were obtained under conditions that did not exclude proteolytic degradation of hemoglobin in the process of peptide isolation. Comparative chromatographic analysis of the diluted erythrocyte lysate incubated in acidic conditions with or without proteolytic enzyme inhibitors showed that several peptides earlier identified as intraerythrocyte ones in fact result from hemoglobin degradation by erythrocyte acidic protease(s) during incubation of the lysate. A rational scheme excluding postlysis proteolysis was developed for isolation of peptide fraction. Further analysis resulted in determination of structure and content of about 50 endogenous intraerythrocyte hemoglobin fragments. A primary endopeptidase splitting of alpha- and beta-globin chains followed by consecutive exopeptidase trimming of primary fragments is suggested as a degradation mechanism. The intraerythrocyte peptides were shown to differ from peptides excreted by the erythrocytes to the extracellular medium in the primary culture. It was also found that intraerythrocyte peptides cannot play the role of precursors of hemoglobin fragments present in tissue extracts.     

Simultaneous Quantification of the Acetylome and Succinylome by ‘One‐Pot’ Affinity Enrichment

Protein posttranslational modifications (PTMs) are of increasing interest in biomedical research, yet studies rarely examine more than one PTM. One barrier to multi‐PTM studies is the time cost for both sample preparation and data acquisition, which scale linearly with the number of modifications. The most prohibitive requirement is often the need for large amounts of sample, which must be increased proportionally with the number of PTM enrichment steps. Here, a streamlined, quantitative label‐free proteomic workflow—“one‐pot” PTM enrichment—that enables comprehensive identification and quantification of peptides containing acetylated and succinylated lysine residues from a single sample containing as little as 1 mg mitochondria protein is described. Coupled with a label‐free, data‐independent acquisition (DIA), 2235 acetylated and 2173 succinylated peptides with the one‐pot method are identified and quantified and peak areas are shown to be highly correlated between the one‐pot and traditional single‐PTM enrichments. The ‘one‐pot’ method makes possible detection of multiple PTMs occurring on the same peptide, and it is shown that it can be used to make unique biological insights into PTM crosstalk. Compared to single‐PTM enrichments, the one‐pot workflow has equivalent reproducibility and enables direct assessment of PTM crosstalk from biological samples in less time from less tissue.     

Prediction of neuropeptide prohormone cleavages with application to RFamides

Genomic information is becoming available for an ever-wider range of animals with the genes for several well-characterized peptide families, such as the RFamides, detected in a surprisingly diverse set of these animals. While bioinformatic tools allow the prediction of the RFamide-related prohormones from genetic information, it is more difficult to accurately predict the final processed peptides because of the large number of processing steps required to convert a prohormone into mature bioactive peptides. Several statistical-based methods for predicting basic site cleavages in prohormones are described, and their ability to predict the basic site cleavages in a variety of RFamide-related peptides from vertebrates and invertebrates is reported. Specifically, the cleavages in the invertebrate FMRFamides, and the vertebrate NPFFa, RFRPa, and PrRPa peptide families are modeled. The three models compared here are based on known cleavage motifs, a logistic regression, and artificial neural networks. Improvements in the accuracy and precision of the cleavage estimates will lead to increased utilization of these models for predicting bioactive neuropeptides before experimental verification is available.     

Determination of endogenous peptides in the porcine brain: possible construction of peptidome,a fact database for endogenous peptides

Peptides play crucial roles in many physiological events. However, a database for endogenous peptides has not yet been developed, because the peptides are easily degraded by proteolytic enzymes during extraction and purification. In this study, we demonstrated that the data for endogenous peptides could be collected by minimizing the proteolytic degradation. We separated porcine brain peptides into 5250 fractions by 2-dimensional chromatography (first ion-exchange and second reversed-phase high-performance liquid chromatography), and 75 fractions of average peptide contents were analyzed in detail by mass spectrometers and a protein sequencer. Based on the analysis data obtained in this study, more than 10000 peptides were deduced to be detected, and more than 1000 peptides to be identified starting from 2 g of brain tissue. Thus, we deduce that it is possible to construct a database for endogenous peptides starting from a gram level of tissue by using 2-dimensional high-performance liquid chromatography coupled with a mass spectrometer.     

Deimination of human filaggrin-2 promotes its proteolysis by calpain 1

Filaggrin-2 (FLG2), a member of the S100-fused type protein family, shares numerous features with filaggrin (FLG), a key protein implicated in the epidermal barrier functions. Both display a related structural organization, an identical pattern of expression and localization in human epidermis, and proteolytic processing of a large precursor. Here, we tested whether FLG2 was a substrate of calpain 1, a calcium-dependent protease directly involved in FLG catabolism. In addition, deimination being critical for FLG degradation, we analyzed whether FLG2 deimination interfered with its proteolytic processing. With this aim, we first produced a recombinant form of FLG2 corresponding to subunits B7 to B10 fused to a COOH-terminal His tag. Incubation with calpain 1 in the presence of calcium induced a rapid degradation of the recombinant protein and the production of several peptides, as shown by Coomassie Blue-stained gels and Western blotting with anti-FLG2 or anti-His antibodies. MALDI-TOF mass spectrometry confirmed this result and further evidenced the production of non-immunoreactive smaller peptides. The degradation was not observed when a calpain 1-specific inhibitor was added. The calpain cleavage sites identified by Edman degradation were regularly present in the B-type repeats of FLG2. Moreover, immunohistochemical analysis of normal human skin revealed colocalization of FLG2 and calpain 1 in the upper epidermis. Finally, the FLG2 deiminated by human peptidylarginine deiminases was shown to be more susceptible to calpain 1 than the unmodified protein. Altogether, these data demonstrate that calpain 1 is essential for the proteolytic processing of FLG2 and that deimination accelerates this process.     

QuickMod: A tool for open modification spectrum library searches

MS2 library spectra are rich in reproducible information about peptide fragmentation patterns compared to theoretical spectra modeled by a sequence search tool. So far, spectrum library searches are mostly applied to detect peptides as they are present in the library. However, they also allow finding modified variants of the library peptides if the search is done with a large precursor mass window and an adapted Spectrum-Spectrum Match (SSM) scoring algorithm. We perform a thorough evaluation on the use of library spectra as opposed to theoretical peptide spectra for the identification of PTMs, analyzing spectra of a well-annotated modification-rich test data set compiled from public data repositories. These initial studies motivate the development of our modification tolerant spectrum library search tool QuickMod, designed to identify modified variants of the peptides listed in the spectrum library without any prior input from the user estimating the modifications present in the sample. We built the search algorithm of QuickMod after carefully testing different SSM similarity scores. The final spectrum scoring scheme uses a support vector machine (SVM) on a selection of scoring features to classify correct and incorrect SSM. After identification of a list of modified peptides at a given False Discovery Rate (FDR), the modifications need to be positioned on the peptide sequence. We present a rapid modification site assignment algorithm and evaluate its positioning accuracy. Finally, we demonstrate that QuickMod performs favorably in terms of speed and identification rate when compared to other software solutions for PTM analysis.     

Discovery,biochemical characterization,and bioengineering of cyanobactin prenyltransferases

Prenylation is a post-translational modification (PTM) widely found in primary and secondary metabolism. This modification can enhance the lipophilicity of molecules, enabling them to interact with lipid membranes more effectively. The prenylation of peptides is often carried out by cyanobactin prenyltransferases (PTases) from cyanobacteria. These enzymes are of interest due to their ability to add prenyl groups to unmodified peptides, thus making them more effective therapeutics through the subsequent acquisition of increased membrane permeability and bioavailability. Herein we review the current knowledge of cyanobactin PTases, focusing on their discovery, biochemistry, and bioengineering, and highlight the potential application of them as peptide alkylation biocatalysts to generate peptide therapeutics.     

Post-translational processing of preprosomatostatin-II examined using fast atom bombardment mass spectrometry

The products and an intermediate of preprosomatostatin-II processing in the anglerfish islet were purified and subjected to structural analysis. The peptides isolated identify the site of signal cleavage (between Ser-24 and Gln-25). The prohormone is further processed at Arg-97 and, to a lesser extent, at the two adjacent basic amino acid residues Lys-61 and Arg-62. A 28-residue somatostatin is also generated which can be hydroxylated at Lys-23. A proteolytic processing site which would form the 14-residue somatostatin does not appear to be used to a significant degree. Fast atom bombardment mass spectrometry (FABMS) was used to demonstrate that the amino-terminal residues of peptides 25-60, and 25-90 are pyroglutamic acid, a modification which precludes Edman degradation of these peptides. Analysis of the peptides and tryptic peptide maps by FABMS allowed confirmation of the sites of prohormone conversion and indicated that terminal basic residues were removed during processing. Three amino acid residues were also found to differ from the amino acid sequence deduced from the cDNA and were localized to specific regions by FABMS analysis. Residues found to differ from the cDNA (cDNA in parentheses) were: Asp-77 (Thr), Val-78 (Phe), and Gly-90 (Glu). Mass assignments were confirmed by running a single cycle of Edman degradation prior to FABMS. The peptides noted above were also examined by Edman sequence analysis. The sequence of a cDNA clone to preprosomatostatin-II was re-examined in light of the observed differences at the protein level. This study emphasizes the utility of FABMS in prohormone processing studies and in identification of post-translational processing events.     

Hydrogen bond integrity between MHC class II molecules and bound peptide determines the intracellular fate of MHC class II molecules.

MHC class II molecules associate with peptides through pocket interactions and the formation of hydrogen bonds. The current paradigm suggests that the interaction of side chains of the peptide with pockets in the class II molecule is responsible for the formation of stable class II-peptide complexes. However, recent evidence has shown that the formation of hydrogen bonds between genetically conserved residues of the class II molecule and the main chain of the peptide contributes profoundly to peptide stability. In this study, we have used I-A(k), a class II molecule known to form strong pocket interactions with bound peptides, to probe the general importance of hydrogen bond integrity in peptide acquisition. Our studies have revealed that abolishing hydrogen bonds contributed by positions 81 or 82 in the beta-chain of I-A(k) results in class II molecules that are internally degraded when trafficked through proteolytic endosomal compartments. The presence of high-affinity peptides derived from either endogenous or exogenous sources protects the hydrogen bond-deficient variant from intracellular degradation. Together, these data indicate that disruption of the potential to form a complete hydrogen bond network between MHC class II molecules and bound peptides greatly diminishes the ability of class II molecules to bind peptides. The subsequent failure to stably acquire peptides leads to protease sensitivity of empty class II molecules, and thus to proteolytic degradation before export to the surface of APCs.     

Mixed-effects statistical model for comparative LC-MS proteomics studies

Comparing a protein's concentrations across two or more treatments is the focus of many proteomics studies. A frequent source of measurements for these comparisons is a mass spectrometry (MS) analysis of a protein's peptide ions separated by liquid chromatography (LC) following its enzymatic digestion. Alas, LC-MS identification and quantification of equimolar peptides can vary significantly due to their unequal digestion, separation, and ionization. This unequal measurability of peptides, the largest source of LC-MS nuisance variation, stymies confident comparison of a protein's concentration across treatments. Our objective is to introduce a mixed-effects statistical model for comparative LC-MS proteomics studies. We describe LC-MS peptide abundance with a linear model featuring pivotal terms that account for unequal peptide LC-MS measurability. We advance fitting this model to an often incomplete LC-MS data set with REstricted Maximum Likelihood (REML) estimation, producing estimates of model goodness-of-fit, treatment effects, standard errors, confidence intervals, and protein relative concentrations. We illustrate the model with an experiment featuring a known dilution series of a filamentous ascomycete fungus Trichoderma reesei protein mixture. For 781 of the 1546 T. reesei proteins with sufficient data coverage, the fitted mixed-effects models capably described the LC-MS measurements. The LC-MS measurability terms effectively accounted for this major source of uncertainty. Ninety percent of the relative concentration estimates were within 0.5-fold of the true relative concentrations. Akin to the common ratio method, this model also produced biased estimates, albeit less biased. Bias decreased significantly, both absolutely and relative to the ratio method, as the number of observed peptides per protein increased. Mixed-effects statistical modeling offers a flexible, well-established methodology for comparative proteomics studies integrating common experimental designs with LC-MS sample processing plans. It favorably accounts for the unequal LC-MS measurability of peptides and produces informative quantitative comparisons of a protein's concentration across treatments with objective measures of uncertainties.     

Methods for prediction of peptide binding to MHC molecules: a comparative study

BACKGROUND: A variety of methods for prediction of peptide binding to major histocompatibility complex (MHC) have been proposed. These methods are based on binding motifs, binding matrices, hidden Markov models (HMM), or artificial neural networks (ANN). There has been little prior work on the comparative analysis of these methods. MATERIALS AND METHODS: We performed a comparison of the performance of six methods applied to the prediction of two human MHC class I molecules, including binding matrices and motifs, ANNs, and HMMs. RESULTS: The selection of the optimal prediction method depends on the amount of available data (the number of peptides of known binding affinity to the MHC molecule of interest), the biases in the data set and the intended purpose of the prediction (screening of a single protein versus mass screening). When little or no peptide data are available, binding motifs are the most useful alternative to random guessing or use of a complete overlapping set of peptides for selection of candidate binders. As the number of known peptide binders increases, binding matrices and HMM become more useful predictors. ANN and HMM are the predictive methods of choice for MHC alleles with more than 100 known binding peptides. CONCLUSION: The ability of bioinformatic methods to reliably predict MHC binding peptides, and thereby potential T-cell epitopes, has major implications for clinical immunology, particularly in the area of vaccine design.     

Peptide transmitters of primary sensory neurons: similar actions of tachykinins and bombesin-like peptides

Previous studies have demonstrated that two peptides, substance P (SP) and substance K (SK), are contained in a common prohormone--beta-preprotachykinin. Both peptides are cleaved from the prohormone and appear to coexist throughout the brain. This study evaluated the behavioral activity of SK and compared it to the activities of SP, bombesin (BN), and structurally related peptides. After intraspinal injection, all of the peptides induced "bite/scratch" behaviors, which differed in durations of action. The specific rank order of these durations of action were: BN greater than gastrin releasing peptide (GRP) = ranatensin (RT) greater than neuromedin B (NMB) greater than kassinin (KASS) = SK = SP and ranged from dose-dependent maxima of approximately 2 min (SP) to approximately 100 min (BN). To examine the possibility that differences in durations of action are due to differences in rates of proteolytic degradation, each peptide was incubated in spinal cord homogenates at 37 degrees C, and the degradation rates were monitored by radioimmunoassay (RIA) and by bioassay. The lengths of incubation time required to produce approximately 90% degradation of peptide immunoreactivity varied across peptides from less than 5 min (SP) to more than 60 min (BN and RT). Degradation of bioactivity generally paralleled degradation of immunoreactivity. The results of this study suggest that durations of nociceptive effects produced by the peptides tested are due, in part, to their resistance to proteolytic degradation.     

The group II chaperonin TRiC protects proteolytic intermediates from degradation in the MHC class I antigen processing pathway

MHC class I molecules present precisely cleaved peptides of intracellular proteins on the cell surface. For most antigenic precursors, presentation requires transport of peptide fragments into the ER, but the nature of the cytoplasmic peptides and their chaperones is obscure. By tracking proteolytic intermediates in living cells, we show that intracellular proteolysis yields a mixture of antigenic peptides containing only N-terminal flanking residues for ER transport. Some of these peptides were bound to the group II chaperonin TRiC and were protected from degradation. Destabilization of TRiC by RNA interference inhibited the expression of peptide-loaded MHC I molecules on the cell surface. Thus, the TRiC chaperonin serves a function in protecting proteolytic intermediates in the MHC I antigen processing pathway.     

Data analysis of assorted serum peptidome profiles

Discovery of biomarker patterns using proteomic techniques requires examination of large numbers of patient and control samples, followed by data mining of the molecular read-outs (e.g., mass spectra). Adequate signal processing and statistical analysis are critical for successful extraction of markers from these data sets. The protocol, specifically designed for use in conjunction with MALDI-TOF-MS-based serum peptide profiling, is a data analysis pipeline, starting with transfer of raw spectra that are interpreted using signal processing algorithms to define suitable features (i.e., peptides). We describe an algorithm for minimal entropy-based peak alignment across samples. Peak lists obtained in this way, and containing all samples, all peptide features and their normalized MS-ion intensities, can be evaluated, and results validated, using common statistical methods. We recommend visual inspection of the spectra to confirm all results, and have written freely available software for viewing and color-coding of spectral overlays.     

JUMPptm: Integrated software for sensitive identification of post-translational modifications and its application in Alzheimer's disease study

Background : Mass spectrometry (MS)-based proteomic analysis of posttranslational modifications (PTMs) usually requires the pre-enrichment of modified proteins or peptides. However, recent ultra-deep whole proteome profiling generates millions of spectra in a single experiment, leaving many unassigned spectra, some of which may be derived from PTM peptides. Methods : Here we present JUMPptm, an integrative computational pipeline, to extract PTMs from unenriched whole proteome. JUMPptm combines the advantages of JUMP, MSFragger and Comet search engines, and includes de novo tags, customized database search and peptide filtering, which iteratively analyzes each PTM by a multi-stage strategy to improve sensitivity and specificity. Results : We applied JUMPptm to the deep brain proteome of Alzheimer's disease (AD), and identified 34,954 unique peptides with phosphorylation, methylation, acetylation, ubiquitination, and others. The phosphorylated peptides were validated by enriched phosphoproteome from the same sample. TMT-based quantification revealed 482 PTM peptides dysregulated at different stages during AD progression. For example, the acetylation of numerous mitochondrial proteins is significantly decreased in AD. A total of 60 PTM sites are found in the pan-PTM map of the Tau protein. Conclusion : The JUMPptm program is an effective tool for pan-PTM analysis and the resulting AD pan-PTM profile serves as a valuable resource for AD research.     

Design of peptide mimetics of HIV-1 gp120 for prevention and therapy of HIV disease.

It has been reported that the C-terminus of the second conserved region (C2) of the envelope glycoprotein gp120, encompassing peptide RSANFTDNAKTIIVQLNESVEIN (NTM), is important for infectivity and neutralization of the human immunodeficiency virus type 1 (HIV-1). It was also demonstrated that human natural anti-vasoactive intestinal peptide (VIP) antibodies reactive with this gp120 region play an important role in control of HIV disease progression. The bioinformatic analysis based on the time-frequency signal processing revealed non-obvious similarities between NTM and VIP. When tested against a battery of sera from 46 AIDS patients, these peptides, in spite of a significant difference in their primary structures, showed a similar reactivity profiles (r = 0.83). Presented results point out that similarity in the periodical pattern of some physicochemical properties in primary structures of peptides plays a significant role in determination of their immunological crossreactivity. Based on these findings, we propose this bioinformatic criterion be used for design of VIP/NTM peptide mimetics for prevention and treatment of HIV disease.     

Degradation of the ACTH(4-10) analog Semax in the presence of rat basal forebrain cell cultures and plasma membranes

Summary. Here a new approach of the elucidation of paths of proteolytic biodegradation of physiologically active peptides, based on the use of a peptide with isotopic label at all amino acid residues and the enrichment of HPLC samples with unlabeled peptide fragments in UV-detectable concentration, has been proposed. The method has been applied for the investigation of degradation dynamics of the neuroactive heptapeptide MEHFPGP (Semax) in the presence of plasma membranes, and cultures of glial and neuronal cells obtained from the rat basal forebrain. The splitting away of ME and GP, and formation of pentapeptides are the predominant processes in the presence of all tested objects, whereas the difference in patterns of resulting peptide products for glial and neuronal cells has been detected. In conclusion, the approach applied allows analyzing physiologically active peptide concentrations in biological tissues and degradation pathways of peptides in the presence of targets of their action.     

Applications of affinity chromatography in proteomics

Affinity chromatography is a powerful protein separation method that is based on the specific interaction between immobilized ligands and target proteins. Peptides can also be separated effectively by affinity chromatography through the use of peptide-specific ligands. Both two-dimensional electrophoresis (2-DE)- and non-2-DE-based proteomic approaches benefit from the application of affinity chromatography. Before protein separation by 2-DE, affinity separation is used primarily for preconcentration and pretreatment of samples. Those applications entail the removal of one protein or a class of proteins that might interfere with 2-DE resolution, the concentration of low-abundance proteins to enable them to be visualized in the gel, and the classification of total protein into two or more groups for further separation by gel electrophoresis. Non-2-DE-based approaches have extensively employed affinity chromatography to reduce the complexity of protein and peptide mixtures. Prior to mass spectrometry (MS), preconcentration and capture of specific proteins or peptides to enhance sensitivity can be accomplished by using affinity adsorption. Affinity purification of protein complexes followed by identification of proteins by MS serves as a powerful tool for generating a map of protein-protein interactions and cellular locations of complexes. Affinity chromatography of peptide mixtures, coupled with mass spectrometry, provides a tool for the study of protein posttranslational modification (PTM) sites and quantitative proteomics. Quantitation of proteomes is possible via the use of isotope-coded affinity tags and isolation of proteolytic peptides by affinity chromatography. An emerging area of proteomics technology development is miniaturization. Affinity chromatography is becoming more widely used for exploring PTM and protein-protein interactions, especially with a view toward developing new general tag systems and strategies of chemical derivatization on peptides for affinity selection. More applications of affinity-based purification can be expected, including increasing the resolution in 2-DE, improving the sensitivity of MS quantification, and incorporating purification as part of multidimensional liquid chromatography experiments.