Screening for disulfide-rich peptides in biological sources by carboxyamidomethylation in combination with differential matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

Origins, Technological Advancement, and Applications of Peptidomics

Peptidomics is the comprehensive characterization of peptides from biological sources instead of heading for a few single peptides in former peptide research. Mass spectrometry allows to detect a multitude of peptides in complex mixtures and thus enables new strategies leading to peptidomics. The term was established in the year 2001, and up to now, this new field has grown to over 3000 publications. Analytical techniques originally developed for fast and comprehensive analysis of peptides in proteomics were specifically adjusted for peptidomics. Although it is thus closely linked to proteomics, there are fundamental differences with conventional bottom-up proteomics. Fundamental technological advancements of peptidomics since have occurred in mass spectrometry and data processing, including quantification, and more slightly in separation technology. Different strategies and diverse sources of peptidomes are mentioned by numerous applications, such as discovery of neuropeptides and other bioactive peptides, including the use of biochemical assays. Furthermore, food and plant peptidomics are introduced similarly. Additionally, applications with a clinical focus are included, comprising biomarker discovery as well as immunopeptidomics. This overview extensively reviews recent methods, strategies, and applications including links to all other chapters of this book.

Predicting the number of sulfur atoms in peptides and small proteins based on the observed aggregated isotope distribution

RATIONALE

Identification of peptides and proteins is a challenging task in mass spectrometry-based proteomics. Knowledge of the number of sulfur atoms can improve the identification of peptides and proteins.

METHODS

In this article, we propose a method for the prediction of S-atoms based on the aggregated isotope distribution. The Mahalanobis distance is used as dissimilarity measure to compare mass- and intensity-based features from the observed and theoretical isotope distributions.

RESULTS

The relative abundance of the second and the third aggregated isotopic variants (as compared to the monoisotopic one) and the mass difference between the second and third aggregated isotopic variants are the most important features to predict the number of S-atoms.

CONCLUSIONS

The mass and intensity accuracies of the observed aggregated isotopic variants are insufficient to accurately predict the number of atoms. However, using a limited set of predictions for a peptide, rather than predicting a single number of S-atoms, has a reasonably high prediction accuracy.

Origins, Technological Development, and Applications of Peptidomics

Peptidomics is the comprehensive characterization of peptides from biological sources mainly by HPLC and mass spectrometry. Mass spectrometry allows the detection of a multitude of single peptides in complex mixtures. The term first appeared in full papers in the year 2001, after over 100 years of peptide research with a main focus on one or a few specific peptides. Within the last 15 years, this new field has grown to over 1200 publications. Mass spectrometry techniques, in combination with other analytical methods, were developed for the fast and comprehensive analysis of peptides in proteomics and specifically adjusted to implement peptidomics technologies. Although peptidomics is closely linked to proteomics, there are fundamental differences with conventional bottom-up proteomics. The development of peptidomics is described, including the most important implementations for its technological basis. Different strategies are covered which are applied to several important applications, such as neuropeptidomics and discovery of bioactive peptides or biomarkers. This overview includes links to all other chapters in the book as well as recent developments of separation, mass spectrometric, and data processing technologies. Additionally, some new applications in food and plant peptidomics as well as immunopeptidomics are introduced.

Screening Method for the Discovery of Potential Bioactive Cysteine-Containing Peptides Using 3D Mass Mapping

Animal venoms and toxins are a valuable source of bioactive peptides with pharmacologic relevance as potential drug leads. A large subset of biologically active peptides discovered up till now contain disulfide bridges that enhance stability and activity. To discover new members of this class of peptides, we developed a workflow screening specifically for those peptides that contain inter- and intra-molecular disulfide bonds by means of three-dimensional (3D) mass mapping. Two intrinsic properties of the sulfur atom, (1) its relatively large negative mass defect, and (2) its isotopic composition, allow for differentiation between cysteine-containing peptides and peptides lacking sulfur. High sulfur content in a peptide decreases the normalized nominal mass defect (NMD) and increases the normalized isotopic shift (NIS). Hence in a 3D plot of mass, NIS, and NMD, peptides with sulfur appear in this plot with a distinct spatial localization compared with peptides that lack sulfur. In this study we investigated the skin secretion of two frog species; Odorrana schmackeri and Bombina variegata. Peptides from the crude skin secretions were separated by nanoflow LC, and of all eluting peptides high resolution zoom scans were acquired in order to accurately determine both monoisotopic mass and average mass. Both the NMD and the NIS were calculated from the experimental data using an in-house developed MATLAB script. Candidate peptides exhibiting a low NMD and high NIS values were selected for targeted de novo sequencing, and this resulted in the identification of several novel inter- and intra-molecular disulfide bond containing peptides. Graphical Abstract ᅟ.

Analysis of an inactive cyanobactin biosynthetic gene cluster leads to discovery of new natural products from strains of the genus Microcystis

Cyanobactins are cyclic peptides assembled through the cleavage and modification of short precursor proteins. An inactive cyanobactin gene cluster has been described from the genome Microcystis aeruginosa NIES843. Here we report the discovery of active counterparts in strains of the genus Microcystis guided by this silent cyanobactin gene cluster. The end products of the gene clusters were structurally diverse cyclic peptides, which we named piricyclamides. Some of the piricyclamides consisted solely of proteinogenic amino acids while others contained disulfide bridges and some were prenylated or geranylated. The piricyclamide gene clusters encoded between 1 and 4 precursor genes. They encoded highly diverse core peptides ranging in length from 7–17 amino acids with just a single conserved amino acid. Heterologous expression of the pir gene cluster from Microcystis aeruginosa PCC7005 in Escherichia coli confirmed that this gene cluster is responsible for the biosynthesis of piricyclamides. Chemical analysis demonstrated that Microcystis strains could produce an array of piricyclamides some of which are geranylated or prenylated. The genetic diversity of piricyclamides in a bloom sample was explored and 19 different piricyclamide precursor genes were found. This study provides evidence for a stunning array of piricyclamides in Microcystis, a worldwide occurring bloom forming cyanobacteria.

Cysteine tagging for MS-based proteomics

Amino acid-tagging strategies are widespread in proteomics. Because of the central role of mass spectrometry (MS) as a detection technique in protein sciences, the term "mass tagging" was coined to describe the attachment of a label, which serves MS analysis and/or adds analytical value to the measurements. These so-called mass tags can be used for separation, enrichment, detection, and quantitation of peptides and proteins. In this context, cysteine is a frequent target for modifications because the thiol function can react specifically by nucleophilic substitution or addition. Furthermore, cysteines present natural modifications of biological importance and a low occurrence in the proteome that justify the development of strategies to specifically target them in peptides or proteins. In the present review, the mass-tagging methods directed to cysteine residues are comprehensively discussed, and the advantages and drawbacks of these strategies are addressed. Some concrete applications are given to underline the relevance of cysteine-tagging techniques for MS-based proteomics.

Probing peptide libraries from Conus achatinus using mass spectrometry and cDNA sequencing: identification of delta and omega-conotoxins

The peptide library present in the venom of the piscivorous marine snail Conus achatinus has been probed using a combination of mass spectrometry and cDNA sequencing methods. Matrix assisted laser desorption ionization mass spectrometry (MALDI-MS) analysis, before and following global reduction/alkylation of peptide mixtures, permits the rapid classification of individual components on the basis of the number of disulfide bonds. Mass fingerprinting and the reverse phase HPLC retention times permit a further deconvolution of the library in terms of peptide size and hydrophobicity. Sequencing of cDNA derived using O-superfamily specific primers yielded five complete conotoxin precursor sequences, ranging in polypeptide length from 75-87 residues containing six Cys residues at the C-terminus. Sequence analysis permits classification of the five putative mature peptides (Ac 6.1 to Ac 6.5) as delta, omega, and omega-like conotoxins. The presence of these predicted peptides in crude venom was established by direct matrix assisted laser desorption ionization tandem mass spectrometry (MALDI-MS/MS) sequencing following trypsin digestion of the peptide mixture after global reduction/alkylation. The determination of partial peptide sequences and comparison with the predicted sequences resulted in the identification of four of the five predicted conotoxins. The characterization of posttranslationally modified analogs, which are hydroxylated at proline or amidated at the C-terminus is also demonstrated. Crude venom analysis should prove powerful in studying both inter- and intra-species variation in peptide libraries.

Conus ventricosus venom peptides profiling by HPLC-MS: a new insight in the intraspecific variation

Conus is a genus of predatory marine gastropods that poison the prey with a complex mixture of compounds active on muscle and nerve cells. An individual cone snail's venom contains a mixture of pharmacological agents, mostly short, structurally constrained peptides. This study is focused on the composition of the venom employed by Conus ventricosus Gmelin, 1791, a worm-hunting cone snail living in the Mediterranean Sea. For this purpose, LC coupled to MS techniques has been successfully used to establish qualitative and quantitative differences in conopeptides from minute amounts of venom ducts. We were able to prove variability in the venom conopeptide complement, possibly related to different trophic habits of the species in the Mediterranean Sea. Moreover, the information-rich MS techniques enabled us to identify two novel C. ventricosus peptides, here named Conotoxin-Vn and -Conotoxin-Vn. On the basis of the structural data collected so far, we suggest that Conotoxin-Vn is a conopeptide belonging to the -family that recognizes calcium channels through a specific pharmacophore. Similarly, molecular modeling data suggest that -Conotoxin-Vn should represent a competitive antagonist of neuronal nicotinic acetylcholine receptors (nAChRs).

Sequencing and mass profiling highly modified conotoxins using global reduction/alkylation followed by mass spectrometry

A novel high-throughput method for characterizing heavily modified peptides from cone snail venom is described. Unpurified cone snail duct venom, consisting primarily of multiply disulfide-bonded peptides, is reduced and alkylated using a global procedure in order to simultaneously reduce and derivatize dozens of disulfide-bonded peptides. Samples of Conus victoriae venom are analyzed by online liquid chromatography-electrospray ionization-ion trap-mass spectrometry (LC-ESI-MS) with collisionally induced dissociation (CID). Comparison of the mass profiles of peptides and CID spectra before and after the global reduction and alkylation enables cysteine-containing conopeptides to be ascertained. In this case, over 40 conotoxins are characterized based on only two LC-ESI-MS experiments in terms of mass, number of disulfide-linked cysteine residues (and hence, potential toxin superfamilies), relative hydrophobicity, and other posttranslational modifications. Using this technique, over half of the amino acids (by mass) of several peptides are defined prior to any detailed sequencing studies. Further comparison of the mass data with previously published genetic information allows sequence verification of three novel peptides, termed vc5b, vc6b and vc6c, based on both LC-ESI-MS CID and nanoelectrospray ionization-ion trap-mass spectrometry (nanoESI-MS) experiments. This global method is ideally suited to the use of larger genetic databases in order to efficiently sequence peptides in Conus venoms and is also applicable to analysis of other disulfide-rich classes of peptides such as defensins, chemokines, and snake, spider, or other venoms.

Top-down identification of endogenous peptides up to 9 kDa in cerebrospinal fluid and brain tissue by nanoelectrospray quadrupole time-of-flight tandem mass spectrometry

Recent work on protein and peptide biomarker patterns revealed the difficulties in identifying their molecular components, which is indispensable for validation of the biological context. Cerebrospinal fluid and brain tissue are used as sources to discover new biomarkers, e.g. for neurodegenerative diseases. Many of these biomarker candidates are peptides with a molecular mass of <10 kDa. Their identification is favourably achieved with a 'top-down' approach, because this requires less purification and an enzymatic cleavage will often not yield enough specific fragments for successful database searches. Here, we describe an approach using quadrupole time-of-flight mass spectrometry (TOFMS) as a highly efficient mass spectrometric purification and identification tool after off-line decomplexation of biological samples by liquid chromatography. After initial peptidomic screening with matrix-assisted laser desorption/ionization (MALDI) TOFMS, the elution behaviour in chromatography and the exact molecular mass were used to locate the same signals in nanoelectrospray measurements. Most of the peaks detected in MALDI-TOFMS could be retrieved in nanoelectrospray quadrupole TOFMS. Suitable collision energies for informative fragment spectra were investigated for different parent ions, charge states and molecular masses. After collision-induced dissociation, the resulting fragmentation data of multiply charged ions can become much more complicated than those derived from tryptic peptide digests. However, the mass accuracy and resolution of quadrupole TOF instruments results in high-quality data suitable for determining peptide sequences. The protein precursor, proteolytic processing and post-translational modifications were identified by automated database searches. This is demonstrated by the exemplary identifications of thymosin beta-4 (5.0 kDa) and NPY (4.3 kDa) from rat hypothalamic tissue and ubiquitin (8.6 kDa) from human cerebrospinal fluid. The high data quality should also allow for de novo identification. This methodology is generally applicable for peptides up to a molecular mass of about 10 kDa from body fluids, tissues or other biological sources.

Electrochemical multi-tagging of cysteinyl peptides during microspray mass spectrometry: numerical simulation of consecutive reactions in a microchannel

On-line electrogeneration of mass tags in a microspray emitter is used to quantify the number of cysteine groups in a given peptide. A finite-element simulation of the multi-step process yields the relative distribution and concentration of tags, untagged and tagged species in the microchannel before the spray event. The work focuses on the tagging of cysteine moieties in peptides or proteins by electrogenerated quinone mass probes. The main chemical parameters determining the kinetics of the labelling are assessed and discussed considering the microfluidic aspects of the process. The control of the tagging extent allows the simultaneous MS analysis of both the unmodified and modified peptide(s). The number of cysteine groups corresponds to the number of characteristic mass shifts observed from the unmodified peptide. The present theoretical work establishes the range of optimum conditions for the determination of the number of cysteine groups in peptides containing up to five cysteine groups.

Identification and characterization of novel endogenous proteolytic forms of the human angiogenesis inhibitors restin and endostatin

Restin and endostatin are C-terminal fragments of the noncollagenous domains of collagen XV and collagen XVIII exhibiting high sequence homology. Both polypeptides are distinguished by strong anti-angiogenic activity in vivo restricting the growth of solid tumors and metastasis. They are therefore currently being tested in clinical trials as anti-cancer drugs. We present the identification of new endogenous variants of both angiogenesis inhibitors isolated from a human hemofiltrate peptide library. Using an immunological screening approach with time-resolved rare earth metal fluorometry, immunoreactive compounds were purified chromatographically and characterized by mass spectrometry. We discovered four novel proteolytic products of restin as well as four variants of endostatin. Two endostatin products were characterized as short internal fragments (R176-L215 and R176-S219) of the entire molecule containing the recently identified beta1 integrin receptor binding site, which plays a major role in endothelial cell migration and angiogenesis. Two additional forms contain mucin-type O-glycosylations. The O-glycosylated variants possess an oligosaccharide unit consisting of one N-acetylgalactosamine (GalNAc), one N-acetylneuraminic acid (NANA) and two galactose residues (Gal) occurring as sialo-(V117-S311-GalNAc-Gal2-NANA) and asialoglycopeptides (V117-S311-GalNAc-Gal2). The four restin variants (R(I)-R(IV)) were identified with identical C- but different N-termini and no posttranslational modification (R(I): P66-A254, R(II): P75-A254, R(III): Y81-A254 and R(IV): A89-A254). Following a differential peptide mass fingerprint approach by reflector mode MALDI-TOFMS, the disulfide patterns of these circulating restins were determined as Cys1-Cys4 and Cys2-Cys3. These endogenous circulating collagen fragments will help to understand the physiological processing of the therapeutic proteins.

Identification and relative quantitation of protein mixtures by enzymatic digestion followed by capillary reversed-phase liquid chromatography-tandem mass spectrometry

In this report, we describe an approach for identification and relative quantitation of individual proteins within mixtures using LC/MS/MS analysis of protein digests. First, the proteins are automatically identified by correlating the tandem mass spectra with peptide sequences from a database. Then, peak areas of identified peptides from one protein are added together to define the total reconstructed peak area of the protein digest. The total reconstructed peak area is further normalized to the peak area of an internal standard protein digest present in the mixture at a constant level. The method was illustrated using digested mixtures of five standard proteins as follows. One protein was gradually diluted while the other four components were present in the mixtures at constant level. This study revealed that relative peak area of the variable protein increased linearly (trend line R2 = 0.9978) with increasing amount from 10 to 1000 fmol, while relative peak areas of four constant proteins remained approximately the same (within 20% relative standard deviation). To further evaluate the applicability of this method for the quantitation of proteins from complex mixtures, human plasma protein digest was spiked with 200 and 400 fmol of myoglobin digest. Total peak area of myoglobin peptides was normalized to the total peak area of apolipoprotein A-I peptides from human plasma, which played the role of an internal standard. The myoglobin/apolipoprotein A-I peak area ratio was 2 times larger for the human plasma digest spiked with a double amount of myoglobin. After several repetitions, the error of the relative peak area measurements remained below 11%, suggesting that the method described here can be used for relative concentration measurements of proteins in the complex biological mixtures. In the presented method, chemical derivatization steps are not needed to create an internal standard, as in isotope-coded affinity tag or similar methods.