Peptidomics: a logical sequel to proteomics

Rapid progress of separation techniques as well as methods of structural analysis provided conditions in the past decade for total screening of complex biologic mixtures for any given class of biomolecules. The present review updates the reader with the modern state of peptidomics, a chapter of chemical biology that deals with structure and biologic properties of sets of peptides present in biologic tissues, cells or fluids. Scope and limitations of currently employed experimental techniques are considered and the main results are outlined. Considerable attention will be afforded to the biologic role of peptides formed in vivo by proteolysis of nonspecialized precursor proteins with other well-defined functions. In conclusion, the connection is discussed between peptidomics and the much more mature and still closely related field of proteomics.     

Mass spectrometry-based proteomics and peptidomics for systems biology and biomarker discovery

The scientific community has shown great interest in the field of mass spectrometry-based proteomics and peptidomics for its applications in biology.Proteomics technologies have evolved to produce larg...     

Peptidomic analysis of blood plasma after in vivo treatment with protease inhibitors--a proof of concept study

Native peptides can be regarded as surrogate markers for protease activity in biological samples. Analysis of peptides by peptidomics allows to monitor protease activity in vivo and to describe the influence of protease inhibition. To elucidate the potential of peptides as markers for in vivo protease inhibition we analyzed plasma samples from animals treated with either the indirect FXa inhibitor FONDAPARINUX™ or the dipeptidylpeptidase IV inhibitor AB192. Signals correlating with the treatment were subsequently identified and assessed with respect to protease-dependent consensus cleavage motifs and occurrence of downstream targets. It could be shown that regulated peptides were either substrates, products or downstream targets of the inhibited protease. The results from the present study demonstrate that the in vivo analysis of peptides by peptidomics has the potential to broaden the knowledge of inhibitor related effects in vivo and that this method may pave the way to develop predictive biomarkers.     

Digging Deep into Peptidomics Applied to Body Fluids

Peptidomics techniques have allowed the identification of thousands of peptides that are derived from proteins in body fluids, despite the considerable challenges behind sample handling, MS‐based identification, data analysis, and integration with bioinformatics tools. Body fluids’ naturally occurring peptides are known to perform a variety of local and systemic functions; however, its knowledge is limited. Even so, the biological meaning that can be retrieved from peptidomics applied to the identification of disease markers and to the development of therapies using peptides has driven the progresses made in this field. In this review, a comparative analysis of body fluids’ peptidome data retrieved from databases and from scientific papers is performed to identify the biological processes modulated by naturally occurring peptides. This integrative analysis highlights several interesting facts, such as the small overlap between blood‐derived serum and plasma, which illustrates the impact of sample handling on these fluids peptidome. Urine is the body fluid with more naturally occurring peptides identified so far, most of which are derived from collagens. In saliva, the majority of peptides are originated from extracellular matrix proteins. Cerebrospinal fluid presents a high number of peptides derived from distinct proteins, mostly involved in the regulation of nervous system homeostasis. The lowest number of endogenous peptides was found in tears, most of which present antimicrobial activity. Collectively, data analysis highlights a peptidome signature for each body fluid, which comprehension will certainly help to improve disease management.     

Optimization for peptide sample preparation for urine peptidomics

Analysis of native or endogenous peptides in biofluids can provide valuable insights into disease mechanisms. Furthermore, the detected peptides may also have utility as potential biomarkers for non-invasive monitoring of human diseases. The non-invasive nature of urine collection and the abundance of peptides in the urine makes analysis by high-throughput ‘peptidomics’ methods , an attractive approach for investigating the pathogenesis of renal disease. However, urine peptidomics methodologies can be problematic with regards to difficulties associated with sample preparation. The urine matrix can provide significant background interference in making the analytical measurements that it hampers both the identification of peptides and the depth of the peptidomics read when utilizing LC-MS based peptidome analysis. We report on a novel adaptation of the standard solid phase extraction (SPE) method to a modified SPE (mSPE) approach for improved peptide yield and analysis sensitivity with LC-MS based peptidomics in terms of time, cost, clogging of the LC-MS column, peptide yield, peptide quality, and number of peptides identified by each method. Expense and time requirements were comparable for both SPE and mSPE, but more interfering contaminants from the urine matrix were evident in the SPE preparations (e.g., clogging of the LC-MS columns, yellowish background coloration of prepared samples due to retained urobilin, lower peptide yields) when compared to the mSPE method. When we compared data from technical replicates of 4 runs, the mSPE method provided significantly improved efficiencies for the preparation of samples from urine (e.g., mSPE peptide identification 82% versus 18% with SPE; p = 8.92E-05). Additionally, peptide identifications, when applying the mSPE method, highlighted the biology of differential activation of urine peptidases during acute renal transplant rejection with distinct laddering of specific peptides, which was obscured for most proteins when utilizing the conventional SPE method. In conclusion, the mSPE method was found to be superior to the conventional, standard SPE method for urine peptide sample preparation when applying LC-MS peptidomics analysis due to the optimized sample clean up that provided improved experimental inference from the confidently identified peptides.     

Identification of multiple antimicrobial peptides from the skin of fine-spined frog, Hylarana spinulosa (Ranidae)

In this study, peptidomics and genomics analyses were used to study antimicrobial peptides from the skin of Hylarana spinulosa. Twenty-nine different antimicrobial peptide precursors were characterized from the skin of H. spinulosa, which produce 23 mature antimicrobial peptides belonging to 12 different families. To confirm the actual presence and characteristics of these antimicrobial peptides in the skin tissue extractions from H. spinulosa, we used two distinct methods, one was peptide purification method that combined gel filtration chromatography and reversed-phase high performance liquid chromatography (RP-HPLC), and the other was peptidomics approach based on liquid chromatography in conjunction with tandem mass spectrometry (LC–MS/MS). In the peptidomics approach, incomplete tryptic digestion and gas-phase fractionation (GPF) analysis were used to increase peptidome coverage and reproducibility of peptide ion selection. Multiple species of microorganisms were chosen to test and analyze the antimicrobial activities and spectrum of these antimicrobial peptides.     

Combinatorial peptidomics: a generic approach for protein expression profiling

Traditional approaches to protein profiling were built around the concept of investigating one protein at a time and have long since reached their limits of throughput. Here we present a completely new approach for comprehensive compositional analysis of complex protein mixtures, capable of overcoming the deficiencies of current proteomics techniques. The Combinatorial methodology utilises the peptidomics approach, in which protein samples are proteolytically digested using one or a combination of proteases prior to any assay being carried out. The second fundamental principle is the combinatorial depletion of the crude protein digest (i.e. of the peptide pool) by chemical crosslinking through amino acid side chains. Our approach relies on the chemical reactivities of the amino acids and therefore the amino acid content of the peptides (i.e. their information content) rather than their physical properties. Combinatorial peptidomics does not use affinity reagents and relies on neither chromatography nor electrophoretic separation techniques. It is the first generic methodology applicable to protein expression profiling, that is independent of the physical properties of proteins and does not require any prior knowledge of the proteins. Alternatively, a specific combinatorial strategy may be designed to analyse a particular known protein on the basis of that protein sequence alone or, in the absence of reliable protein sequence, even the predicted amino acid translation of an EST sequence. Combinatorial peptidomics is especially suitable for use with high throughput micro- and nano-fluidic platforms capable of running multiple depletion reactions in a single disposable chip.     

Peptidomics in Drosophila melanogaster.

In analogy with proteomics technology, where all proteins expressed in a cell or tissue are analysed, the peptidomic approach aims at the simultaneous visualisation and identification of the whole peptidome of a cell or tissue, ie all expressed peptides with their post-translational modifications. With nanoscale liquid chromatography (nanoLC), combined with mass spectrometry and subsequent database searching, the peptidome of the Drosophila larval brain has been identified at the amino acid sequence level. In a single experiment involving only 50 Drosophila larval brains, one can obtain a display of the expressed peptides. In this paper, current peptidomics technology will be explained, using Drosophila as an example. Compared with the 400,000 Drosophila whole bodies that were required as a starting material for traditional biochemical peptide purification rounds, the authors are convinced that peptidomics technology, which in the future will certainly be applied to the analysis of different physiological states, has the inherent potential to bring about a true revolution in the study of the molecular physiology of Drosophila.     

Formation and dynamic alterations of horizontal microdomains in sperm membranes during progesterone-induced acrosome reaction

A peptidomics approach was applied to determine the peptides in the larval central nervous system of the grey flesh fly, Neobellieria bullata. Fractions obtained by high performance liquid chromatography were analysed by MALDI-TOF and ESI-Q-TOF mass spectrometry. This provided biochemical evidence for the presence of 18 neuropeptides, 11 of which were novel Neobellieria peptides. Most prominently present were the FMRFamide-related peptides: 7 FMRFamides, 1 FIRFamide, and Neb-myosuppressin. The three putative capa-gene products Neb-pyrokinin and the periviscerokinins Neb-PVK-1 and -2 were detected, as well as another pyrokinin. This Neb-PK-2 was also present in the ring gland along with corazonin, Neb-myosuppressin, and Neb-AKH-GK, an intermediate processing product of the adipokinetic hormone. Furthermore, the central nervous system contained Neb-LFamide, proctolin, and FDFHTVamide, designated as Neb-TVamide. With this study, we considerably increased our knowledge of the neuropeptidome of the pest fly N. bullata, which is an important insect model for physiological research.     

Diapausing Colorado potato beetles are devoid of short neuropeptide F I and II

An extract of head ganglia and retrocerebral complexes of nondiapausing and diapausing Leptinotarsa decemlineata was prepared to characterize regulatory neuropeptides involved in adult diapause by using a differential peptidomics approach. To reduce sample complexity, both extracts were roughly separated by means of an identical chromatographic step. MALDI-TOF MS led to the identification of proctolin, an adipokinetic hormone, and short neuropeptide F I and II in the extract of nondiapausing beetles. In combination with nano-ESI-Q-TOF MS(2) evidence was found for the presence of three pyrokinins, the first to be identified in a coleopteran species. Pyrokinins, involved in the induction of embryonic diapause in Bombyx mori, were present in both physiological conditions suggesting that they are of minor importance in the regulation of adult diapause in the Colorado potato beetle. A striking difference, detected by the differential peptidomics approach, between both neuropeptide profiles was the absence of ions corresponding to the short neuropeptide F (sNPF) related peptides, also known as Led-NPF-I and -II, in the extract of diapausing animals. Therefore, we postulate that "short NPFs" are involved in the regulation of adult diapause, displayed by the Colorado potato beetle.     

Comparative peptidomics of Caenorhabditis elegans versus C. briggsae by LC-MALDI-TOF MS

Neuropeptides are important signaling molecules that function in cell-cell communication as neurotransmitters or hormones to orchestrate a wide variety of physiological conditions and behaviors. These endogenous peptides can be monitored by high throughput peptidomics technologies from virtually any tissue or organism. The neuropeptide complement of the soil nematode Caenorhabditis elegans has been characterized by on-line two-dimensional liquid chromatography and quadrupole time-of-flight tandem mass spectrometry (2D-nanoLC Q-TOF MS/MS). Here, we use an alternative peptidomics approach combining liquid chromatography (LC) with matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry to map the peptide content of C. elegans and another Caenorhabditis species, Caenorhabditis briggsae. This study allows a better annotation of neuropeptide-encoding genes from the C. briggsae genome and provides a promising basis for further evolutionary comparisons.     

Application of a Combined Peptidomics and In Silico Approach for the Identification of Novel Dipeptidyl Peptidase-IV-Inhibitory Peptides in In Vitro Digested Pinto Bean Protein Extract

The conventional approach in bioactive peptides discovery, which includes extensive bioassay-guided fractionation and purification processes, is tedious, time-consuming and not always successful. The recently developed bioinformatics-driven in silico approach is rapid and cost-effective; however, it lacks an actual physiological significance. In this study a new integrated peptidomics and in silico method, which combines the advantages of the conventional and in silico approaches by using the pool of peptides identified in a food hydrolysate as the starting point for subsequent application of selected bioinformatics tools, has been developed. Pinto bean protein extract was in vitro digested and peptides were identified by peptidomics. The pool of obtained peptides was screened by in silico analysis and structure–activity relationship modelling. Three peptides (SIPR, SAPI and FVPH) were selected as potential inhibitors of the dipeptidyl-peptidase-IV (DPP-IV) enzyme by this integrated approach. In vitro bioactivity assay showed that all three peptides were able to inhibit DPP-IV with the tetra-peptide SAPI showing the highest activity (IC50 = 57.7 μmol/L). Indeed, a new possible characteristic of peptides (i.e., the presence of an S residue at the N-terminus) able to inhibit DPP-IV was proposed.     

Susceptibility to transglutaminase of gliadin peptides predicted by a mass spectrometry-based assay

A peptidomics approach was developed to identify transglutaminase-susceptible Q residues within a pepsin-trypsin gliadin digest. Based on tagging with a monodansylcadaverine fluorescent probe, six alpha/beta-, gamma-gliadin, and low molecular weight glutenin peptides were identified by nanospray tandem mass spectrometry. In functioning as an acyl acceptor, tissue transglutaminase was able to form complexes with the glutamine-rich gliadin peptides, whereas by lowering pH, the peptides were deamidated by transglutaminase at the same Q residues, which were previously transamidated. The main common feature shared by the peptides was the consensus sequence Q-X-P. Our findings offer relevant information for the understanding of how dietary peptides interact with the host organism in celiac disease.     

SwePep, a database designed for endogenous peptides and mass spectrometry

A new database, SwePep, specifically designed for endogenous peptides, has been constructed to significantly speed up the identification process from complex tissue samples utilizing mass spectrometry. In the identification process the experimental peptide masses are compared with the peptide masses stored in the database both with and without possible post-translational modifications. This intermediate identification step is fast and singles out peptides that are potential endogenous peptides and can later be confirmed with tandem mass spectrometry data. Successful applications of this methodology are presented. The SwePep database is a relational database developed using MySql and Java. The database contains 4180 annotated endogenous peptides from different tissues originating from 394 different species as well as 50 novel peptides from brain tissue identified in our laboratory. Information about the peptides, including mass, isoelectric point, sequence, and precursor protein, is also stored in the database. This new approach holds great potential for removing the bottleneck that occurs during the identification process in the field of peptidomics. The SwePep database is available to the public.     

Peptidomic analysis of human blood specimens: comparison between plasma specimens and serum by differential peptide display

The human Plasma Proteome Project pilot phase aims to analyze serum and plasma specimens to elucidate specimen characteristics by various proteomic techniques to ensure sufficient sample quality for the HUPO main phase. We used our proprietary peptidomics technologies to analyze the samples distributed by HUPO. Peptidomics summarizes technologies for visualization, quantitation, and identification of the low-molecular-weight proteome (<15 kDa), the "peptidome." We analyzed all four HUPO specimens (EDTA plasma, citrate plasma, heparin plasma, and serum) from African- and Asian-American donors and compared them to in-house collected Caucasian specimens. One main finding focuses on the most suitable method of plasma specimen collection. Gentle platelet removal from plasma samples is beneficial for improved specificity. Platelet contamination or activation of platelets by low temperature prior to their removal leads to distinct and multiple peptide signals in plasma samples. Two different specimen collection protocols for platelet-poor plasma are recommended. Further emphasis is placed on the differences between plasma and serum on a peptidomic level. A large number of peptides, many of them in rather high abundance, are only present in serum and not detectable in plasma. This ex vivo generation of multiple peptides hampers discovery efforts and is caused by a variety of factors: the release of platelet-derived peptides, other peptides derived from cellular components or the clot, enzymatic activities of coagulation cascades, and other proteases. We conclude that specimen collection is a crucial step for successful peptide biomarker discovery in human blood samples. For analysis of the low-molecular-weight proteome, we recommend the use of platelet-depleted EDTA or citrate plasma.     

Clinical mass spectrometry in neuroscience. Proteomics and peptidomics.

In this review we discuss the merits and drawbacks with the use of proteomic and peptidomic strategies for identification of proteins and peptides in their multidimensional interactions in complex biological processes. The progress in proteomics and peptidomics during the last years offer us new challenges to study changes in the protein and peptide synthesis. These strategies also offer new tools to follow post-translational modifications and other disturbed chemical processes that may be indicative of pathophysiological alteration(s). Furthermore these techniques can contribute to improvements in the diagnosis and therapy of neurodegenerative diseases, such as Alzheimer's disease, and psychiatric diseases, as depression and post traumatic stress disorders. We also consider different practical aspects of the applications of mass spectrometry in clinical neuroscience, illustrated by example from our laboratories. The new proteomic and peptidomic strategies will further enable the progress for clinical neuroscience research.     

Plant peptides and peptidomics

Extracellular plant peptides perform a large variety of functions, including signalling and defence. Intracellular peptides often have physiological functions or may merely be the products of general proteolysis. Plant peptides have been identified and, in part, functionally characterized through biochemical and genetic studies, which are lengthy and in some cases impractical. Peptidomics is a branch of proteomics that has been developed over the last 5 years, and has been used mainly to study neuropeptides in animals and the degradome of proteases. Peptidomics is a fast, efficient methodology that can detect minute and transient amounts of peptides and identify their post-translational modifications. This review describes known plant peptides and introduces the use of peptidomics for the detection of novel plant peptides.     

Optimizing recovery of peptides from an octadecylsilyl (ODS) cartridge

An analytical procedure has been studied in detail to optimize the recovery of the radiolabeled and unlabeled synthetic peptides substance P and methionine-enkephalin from a reversed phase octadecylsilyl disposable cartridge, which is one of the first steps to preferentially enrich peptides from a biologic matrix. Our previous research on biologic peptides indicated the need for the present study. The column flow-rate was found to be one of the most important experimental parameters; and its effect on the recovery of those two synthetic peptides was determined by the measurement of recovered radioactivity and by high performance liquid chromatography u.v. detection. The accuracy and reproducibility of the flow-rate affected recovery, and it was necessary to regulate the flow-rate with a syringe infusion pump. Recovery was optimum using a slow rate for both sample application and elution. Furthermore, a slow elution was more important than a slow rate of sample application. Such basic recovery studies on individual synthetic peptides are required before undertaking peptide extractions from biologic matrices.     

Targeted protein degradation by Salmonella under phagosome-mimicking culture conditions investigated using comparative peptidomics

The pathogen Salmonella enterica is known to cause both food poisoning and typhoid fever. Because of the emergence of antibiotic-resistant isolates and the threat of bioterrorism (e.g. contamination of the food supply), there is a growing need to study this bacterium. In this investigation, comparative peptidomics was used to study S. enterica serovar Typhimurium cultured in either a rich medium or in an acidic, low magnesium, and minimal nutrient medium designed to roughly mimic the macrophage phagosomal environment (within which Salmonella are known to survive). Native peptides from cleared cell lysates were enriched by using isopropanol extraction and analyzed by using both LC-MS/MS and LC-FTICR-MS. We identified and quantified 5,163 peptides originating from 682 proteins, and the data clearly indicated that compared with Salmonella cultured in the rich medium, cells cultured in the phagosome-mimicking medium had dramatically higher abundances of a wide variety of protein degradation products, especially from ribosomal proteins. Salmonella from the same cultures were also analyzed using traditional, bottom-up proteomic methods, and when the peptidomics and proteomics data were analyzed together, two clusters of proteins targeted for proteolysis were tentatively identified. Possible roles of targeted proteolysis by phagocytosed Salmonella are discussed.     

Peptidomics analysis of neuropeptides involved in copulatory behavior of the mollusk Lymnaea stagnalis

Male copulation behavior in mollusks is controlled by an array of peptide messengers. In the present study, we have used a peptidomics approach employing liquid chromatography in conjunction with electrospray mass spectrometry to characterize peptides contained in the penial complex of the freshwater snail, Lymnaea stagnalis. In addition to the previously described peptides, we have identified a group of novel peptides that share the carboxyl termini of -FVRIamide. A cDNA cloning study revealed the organization of the precursor, which contains 20 peptide domains with the carboxyl termini of -F(X)RIamide which are flanked by many putative proteolytic sites including the KR and the less commonly occurring (G)K and (G)R sites. In addition, there are several monobasic R and dibasic RR and KK sites that may be used for processing. We then used MALDI-TOF/TOF-MS in a data-dependent mode, which selected all the molecular ion species with the predicted masses of the mature -F(X)RIamide peptides, and performed MS/MS analysis on these peptides. This approach allowed us to identify all the predicted -F(X)RIamide peptides. Immunocytochemistry showed the localization of -FVRIamide immunoreactive neurons in several central ganglia, and immunoreactive axons in the penial complex. Finally, application of synthetic -FVRIamide peptides to an in vitro posterior vas deferens preparation showed inhibitory effect on the spontaneous contraction/relaxation cycle of the vas deferens.