Exploiting natural peptide diversity: novel research tools and drug leads

The Identification of a Novel Spider Toxin Peptide, Lycotoxin-Pa2a, with Antibacterial and Anti-Inflammatory Activities

With the increasing challenge of controlling infectious diseases due to the emergence of antibiotic-resistant strains, the importance of discovering new antimicrobial agents is rapidly increasing. Animal venoms contain a variety of functional peptides, making them a promising platform for pharmaceutical development. In this study, a novel toxin peptide with antibacterial and anti-inflammatory activities was discovered from the spider venom gland transcriptome by implementing computational approaches. Lycotoxin-Pa2a (Lytx-Pa2a) showed homology to known-spider toxin, where functional prediction indicated the potential of both antibacterial and anti-inflammatory peptides without hemolytic activity. The colony-forming assay and minimum inhibitory concentration test showed that Lytx-Pa2a exhibited comparable or stronger antibacterial activity against pathogenic strains than melittin. Following mechanistic studies revealed that Lytx-Pa2a disrupts both cytoplasmic and outer membranes of bacteria while simultaneously inducing the accumulation of reactive oxygen species. The peptide exerted no significant toxicity when treated to human primary cells, murine macrophages, and bovine red blood cells. Moreover, Lytx-Pa2a alleviated lipopolysaccharide-induced inflammation in mouse macrophages by suppressing the expression of inflammatory mediators. These findings not only suggested that Lytx-Pa2a with dual activity can be utilized as a new antimicrobial agent for infectious diseases but also demonstrated the implementation of in silico methods for discovering a novel functional peptide, which may enhance the future utilization of biological resources.

PDAUG: a Galaxy based toolset for peptide library analysis, visualization, and machine learning modeling

Background

Computational methods based on initial screening and prediction of peptides for desired functions have proven to be effective alternatives to lengthy and expensive biochemical experimental methods traditionally utilized in peptide research, thus saving time and effort. However, for many researchers, the lack of expertise in utilizing programming libraries, access to computational resources, and flexible pipelines are big hurdles to adopting these advanced methods.

Results

To address the above mentioned barriers, we have implemented the peptide design and analysis under Galaxy (PDAUG) package, a Galaxy-based Python powered collection of tools, workflows, and datasets for rapid in-silico peptide library analysis. In contrast to existing methods like standard programming libraries or rigid single-function web-based tools, PDAUG offers an integrated GUI-based toolset, providing flexibility to build and distribute reproducible pipelines and workflows without programming expertise. Finally, we demonstrate the usability of PDAUG in predicting anticancer properties of peptides using four different feature sets and assess the suitability of various ML algorithms.

Conclusion

PDAUG offers tools for peptide library generation, data visualization, built-in and public database peptide sequence retrieval, peptide feature calculation, and machine learning (ML) modeling. Additionally, this toolset facilitates researchers to combine PDAUG with hundreds of compatible existing Galaxy tools for limitless analytic strategies.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12859-022-04727-6.

Discovery of Missing Methylation Sites on Endogenous Peptides of Human Cell Lines

Methylation of proteins has considerable impacts on physiological processes including signal transduction, DNA damage repair, transcriptional regulation, gene activation, and inhibition of gene expression. However, the traditional proteomics-based approach suffers from limited identification rates of these critical methylation sites on endogenous peptides. In this work, a peptidomics-based workflow was established to discover and characterize the global methylome of endogenous peptides in human cells. The reliability of our strategy was validated by methyl-SILAC labeling, resulting in 83% true-positive identifications in the HeLa cell line. We applied this approach to seven human cell lines, and 700 methylated forms on 646 putative methylation sites were identified in total, with over 61% of the methylation sites being newly identified. This study provides a complementary strategy for a traditional proteomics-based approach that enables identification of missing methylation sites and creates a first methylome draft of endogenous peptides of human cell lines, offering a valuable resource for in-depth studies of biological functions of methylated endogenous peptides.

Simultaneous quantification of atropine and scopolamine in infusions of herbal tea and Solanaceae plant material by matrix-assisted laser desorption/ionization time-of-flight (tandem) mass spectrometry

RATIONALE

Atropine (Atr) and scopolamine (Scp) are toxic secondary plant metabolites of species within the Solanaceae genus that can accidentally or intentionally reach the food store chain by inaccurate harvesting of any plant material, e.g. for herbal tea infusions. Ingestion may cause severe anticholinergic poisoning thus requiring risk-oriented determination in food and beverages. The suitability of matrix-assisted laser desorption/ionization time-of-flight (tandem) mass spectrometry, MALDI-TOF MS(/MS), should be characterized for simultaneous analysis.

METHODS

We herein present the first MALDI-TOF MS(/MS) procedure for quantitative determination of both alkaloids in herbal tea infusions and Solanaceae plant material. A standard additions procedure using triply deuterated Atr as internal standard was developed and validated.

RESULTS

Tropane alkaloids were detected without interferences and the standard additions procedure allowed reliable quantification. Intraday and interday precision were less than 17% and corresponding accuracies were between 77% and 112%. Limits of detection in the spotting solution were found at 5 ng/mL (Atr) and 0.5 ng/mL (Scp). The assay was applied to diverse tea infusions as well as to berries and leaves of deadly nightshade and angel's trumpet.

CONCLUSIONS

The usefulness of MALDI-TOF MS(/MS) for investigations of plant-derived samples to prove contaminations by small basic compounds was demonstrated. The elaborate procedure is reliable but quite laborious to obtain quantitative results, but MALDI-TOF MS(/MS) was also shown to be a valuable tool for rapid qualitative screening for Atr and Scp in plant extracts.

Mass Spectrometric Identification of Endogenous Peptides

Peptidomics is an emerging field focused in the analysis of endogenous peptides. Naturally occurring peptides are often endogenously produced protein fragments. Cleavage of precursor proteins by proteases generates peptides that may gain specialized functions not ascribed to their precursors, and which could reflect the state of a cell under certain physiological conditions or pathological processes.Since peptides are found in complex matrices (e.g., serum, tear, urine, cerebrospinal fluid), they need to be isolated from the matrix and concentrated before they can be analyzed on mass spectrometry. This chapter describes methods for sample preparation prior to mass spectrometry analysis. In addition, different peptide fragmentation techniques are described which are complementary when analyzing naturally occurring peptides by liquid chromatography coupled online to tandem mass spectrometry.

Overlooked Short Toxin-Like Proteins: A Shortcut to Drug Design

Short stable peptides have huge potential for novel therapies and biosimilars. Cysteine-rich short proteins are characterized by multiple disulfide bridges in a compact structure. Many of these metazoan proteins are processed, folded, and secreted as soluble stable folds. These properties are shared by both marine and terrestrial animal toxins. These stable short proteins are promising sources for new drug development. We developed ClanTox (classifier of animal toxins) to identify toxin-like proteins (TOLIPs) using machine learning models trained on a large-scale proteomic database. Insects proteomes provide a rich source for protein innovations. Therefore, we seek overlooked toxin-like proteins from insects (coined iTOLIPs). Out of 4180 short (<75 amino acids) secreted proteins, 379 were predicted as iTOLIPs with high confidence, with as many as 30% of the genes marked as uncharacterized. Based on bioinformatics, structure modeling, and data-mining methods, we found that the most significant group of predicted iTOLIPs carry antimicrobial activity. Among the top predicted sequences were 120 termicin genes from termites with antifungal properties. Structural variations of insect antimicrobial peptides illustrate the similarity to a short version of the defensin fold with antifungal specificity. We also identified 9 proteins that strongly resemble ion channel inhibitors from scorpion and conus toxins. Furthermore, we assigned functional fold to numerous uncharacterized iTOLIPs. We conclude that a systematic approach for finding iTOLIPs provides a rich source of peptides for drug design and innovative therapeutic discoveries.

The fate of PrP GPI-anchor signal peptide is modulated by P238S pathogenic mutation

Glycosylphosphatidylinositol (GPI)-anchored proteins are localized to the plasma membrane via a C-terminally linked GPI anchor. The GPI anchor is added concomitantly to the cleavage of the carboxy-terminal GPI-anchor signal sequence, thereby causing the release of a C-terminal hydrophobic peptide, whose fate has not yet been investigated. Here we followed the fate of the GPI-attachment signal of the prion protein (PrP), a protein implicated in various types of transmissible neurodegenerative spongiform encephalopathies (TSE). The PrP GPI-anchor signal sequence shows a remarkable and unusual degree of conservation across the species and contains two point mutations (M232R/T and P238S) that are responsible for genetic forms of prion disorders. We show that the PrP GPI-anchor signal peptide (SP), but not the one from an unrelated GPI-anchored protein (folate receptor), undergoes degradation via the proteasome. Moreover, the P238S point mutation partially protects the PrP GPI-anchor SP from degradation. Our data provide the first attempt to address the fate of a GPI-anchor SP and identify a role for the P238S mutation, suggesting the possibility that the PrP GPI-anchor SP could play a role in neurodegenerative prion diseases.

Peptidome analysis of human skim milk in term and preterm milk

The abundant proteins in human milk have been well characterized and are known to provide nutritional, protective, and developmental advantages to both term and preterm infants. Due to the difficulties associated with detection technology of the peptides, the expression of the peptides present in human milk is not known widely. In recent years, peptidome analysis has received increasing attention. In this report, the analysis of endogenous peptides in human milk was done by mass spectrometry. A method was also developed by our researchers, which can be used in the extraction of peptide from human milk. Analysis of the extracts by LC-MS/MS resulted in the detection of 1000-3000Da peptide-like features. Out of these, 419 peptides were identified by MS/MS. The identified peptides were found to originate from 34 proteins, of which several have been reported. Analysis of the peptides' cleavage sites showed that the peptides are cleaved with regulations. This may reflect the protease activity and distribution in human body, and also represent the biological state of the tissue and provide a fresh source for biomarker discovery. Isotope dimethyl labeling analysis was also used to test the effects of premature delivery on milk protein composition in this study. Differences in peptides expression between breast milk in term milk (38-41weeks gestation) and preterm milk (28-32weeks gestation) were investigated in this study. 41 Peptides in these two groups were found expressed differently. 23 Peptides were present at higher levels in preterm milk, and 18 were present at higher levels in term milk.

Helokinestatin-7 peptides from the venoms of Heloderma lizards

Helokinestatins 1-6 constitute a family of bradykinin antagonist peptides originally isolated from the venoms of the Gila Monster, Heloderma suspectum and the Mexican beaded lizard, Heloderma horridum. Here we report the identification, isolation and preliminary pharmacological characterization of two novel tridecapeptides, named helokinestatin-7S (FDDDSTELILEPR - 1550 Da) and helokinestatin-7H (FDDDSRKLILEPR - 1604 Da), whose primary structures were predicted from cDNAs cloned from venom libraries of respective Heloderma lizards. Computed molecular masses of putative helokinestatin-7 peptides were used as tools to locate these peptides in archived LC/MS fractions from respective venoms and sequences were confirmed by MS/MS fragmentation. A synthetic replicate of helokinestatin-7H was found to antagonize the relaxation effect of bradykinin on rat arterial smooth muscle but to have no measurable effects alone. In contrast, synthetic helokinestatin-7S was found to directly contract this preparation. Studies on related natural peptides with subtle differences in primary structure can provide the tools for structure/activity studies in pharmacological investigations directed toward unraveling the molecular basis of venom toxicity and for the evaluation of potential therapeutic leads.

The influence of peptide impurity profiles on functional tissue-organ bath response: the 11-mer peptide INSL6[151-161] case

Bioactive peptides have great pharmaceutical potential as nutraceuticals, diagnostics, and therapeutic drugs in several clinical areas. Thus, the search for novel lead peptides with a biological function has attracted renewed interest. Crude peptide material (i.e., ~70% purity) of INSL6[151-161] (NH₂-FRSLFWGNHSQ-COOH) was found to trigger a contractile response in guinea pig ileum longitudinal smooth muscle preparations using tissue-organ baths. However, the purified peptide (i.e., ≥ 95% purity) had no effect on this model. Further investigation with crude materials from other suppliers, with purities ranging between 50% and 80%, indicated that the crude products gave a false-positive functional tissue-organ bath conclusion. These observations question the functionality conclusions when using crude-purity peptide materials; during the initial research or discovery phase, peptide quality is generally neglected, possibly leading to misinterpretation of biological results due to by-products from peptide synthesis and, thus, wrong fail/pass decisions. Therefore, we strongly recommend appropriate quality control testing before using any peptides for initial biomedical research or discovery purposes.

Ligand-based peptide design and combinatorial peptide libraries to target G protein-coupled receptors

G protein-coupled receptors (GPCRs) are considered to represent the most promising drug targets; it has been repeatedly said that a large fraction of the currently marketed drugs elicit their actions by binding to GPCRs (with cited numbers varying from 30-50%). Closer scrutiny, however, shows that only a modest fraction of (≈60) GPCRs are, in fact, exploited as drug targets, only ≈20 of which are peptide-binding receptors. The vast majority of receptors in the humane genome have not yet been explored as sites of action for drugs. Given the drugability of this receptor class, it appears that opportunities for drug discovery abound. In addition, GPCRs provide for binding sites other than the ligand binding sites (referred to as the "orthosteric site"). These additional sites include (i) binding sites for ligands (referred to as "allosteric ligands") that modulate the affinity and efficacy of orthosteric ligands, (ii) the interaction surface that recruits G proteins and arrestins, (iii) the interaction sites of additional proteins (GIPs, GPCR interacting proteins that regulate G protein signaling or give rise to G protein-independent signals). These sites can also be targeted by peptides. Combinatorial and natural peptide libraries are therefore likely to play a major role in identifying new GPCR ligands at each of these sites. In particular the diverse natural peptide libraries such as the venom peptides from marine cone-snails and plant cyclotides have been established as a rich source of drug leads. High-throughput screening and combinatorial chemistry approaches allow for progressing from these starting points to potential drug candidates. This will be illustrated by focusing on the ligand-based drug design of oxytocin (OT) and vasopressin (AVP) receptor ligands using natural peptide leads as starting points.

Structural selection of ionic-complementary peptides with electrostatic interactions

The structures of the peptides and their assembly are largely modulated by the environment. To discover the physical principles governing the structural modulations of peptides by the environment would be useful for many applications. As the typical examples, the structures of three kinds of ionic-complementary EAK16-family peptides under various environmental conditions are studied with simulations in this work. A model with intermediate resolution is used, in which both the backbone hydrogen bonds and electrostatic interactions are explicitly considered. The thermodynamics of these peptides (including the free energy and heat capacity) are described for various strengths of the electrostatic interactions which reflect the variation of environment. With these results, the phase diagrams of these peptides related to the temperature and the strength of electrostatic interactions are presented and compared. Based on the differences in the phase structures of the peptide, the different aggregation behaviors are explained based on the monomeric structural features of the peptides. Through the analysis on the stability of various secondary structures of these peptides, it is demonstrated that the charge pattern is the basic reason of the different responses of the EAK16-family peptides to the environmental changes. These results provide some examples and insights for the principles of structural selection by environment and may be helpful for further analysis and designs of peptide systems.

Structure-activity relationship of a novel pentapeptide with cancer cell growth-inhibitory activity

We previously reported that yamamarin, a pentapeptide with an amidated C-terminus (DILRG-NH(2)) isolated from larvae of the silkmoth, and its palmitoylated analog (C16-DILRG-NH(2)) suppressed proliferation of rat hepatoma (liver cancer) cells. In this study, we investigated the structure-activity relationship of yamamarin by in vitro assay and spectroscopic methods (CD and NMR) for various analogs. The in vitro assay results demonstrated that the chemical structure of the C-terminal part (-RG-NH(2)) of yamamarin is essential for its activity. The CD and NMR results indicated that yamamarin and its analog adopt predominantly a random coil conformation. Moreover, a comparison of NMR spectra of DILRG-NH(2) and C16-DILRG-NH(2) revealed that the N-terminal palmitoyl group of C16-DILRG-NH(2) did not affect the conformation of the C-terminal part, which is essential for activity. Together, these results should assist in the design of more sophisticated anticancer drugs.

Peptidomics: divide et impera

The term "peptidomics" can be defined as the systematic analysis of the peptide content within a cell, organelle, tissue or organism. The science of peptidomics usually refers to the studies of naturally occurring peptides. Another meaning refers to the peptidomics approach to protein analysis. An ancient Roman strategy divide et impera (divide and conquer) reflects the essence of peptidomics. Most effort in this field is spent purifying and dividing the peptidomes, which consist of tens, hundreds or sometimes thousands of functional peptides, followed by their structural and functional characterisation. This chapter introduces the concept of peptidomics, outlines the range of methodologies employed and describes key targets - the peptide groups which are often sought after in such studies.

Mass spectrometry based proteomics in urine biomarker discovery

All organisms contain 1,000s of proteins and peptides in their body fluids, which undergo disease-specific changes. Advances in the understanding of the functional relevance of these polypeptides under different (patho)physiological conditions and the identification of indicative changes with disease would greatly enhance diagnosis and therapy. The low-molecular-weight proteome, also termed peptidome, provides a rich source of information. Due to its lower molecular weight, the peptidome can be assessed without the need for sample manipulation like tryptic digests. This advantage facilitates comparative analysis but it also raises technical challenges differing from those in proteomics. The first part of this manuscript, is focused on the low-molecular-weight urinary proteome and reviews methodological aspects of sample collection, preparation, analysis, and data evaluation. The second part summarizes the recent progress in the definition and identification of clinically relevant polypeptide markers.

High-resolution proteome/peptidome analysis of peptides and low-molecular-weight proteins in urine

All organisms contain thousands of proteins and peptides in their body fluids. A deeper insight into the functional relevance of these polypeptides under different physiological and pathophysiological conditions and the discovery of specific peptide biomarkers would greatly enhance diagnosis and therapy of specific diseases. The low-molecular-weight proteome, also termed peptidome, provides a rich source of information. Due to its unique features, the technical challenges differ somewhat from those in "common" proteomics. In this manuscript, we focus on the low-molecular-weight urinary proteome. We review the methodological aspects of sample collection, preparation, analysis, and subsequent data evaluation. In the second part of this review, we summarize the recent progress in the definition and identification of clinically relevant polypeptide markers.

Exploration of Backbone Space in Foldamers Containing α- and β-Amino Acid Residues: Developing Protease-Resistant Oligomers that Bind Tightly to the BH3-Recognition Cleft of Bcl-xL

Protein-protein interactions play crucial roles in cell-signaling events and are often implicated in human disease. Molecules that bind tightly to functional protein-surface sites and show high stability to degradative enzymes could be valuable pharmacological tools for dissection of cell-signaling networks and might ultimately lead to therapeutic agents. We recently described oligomers containing both alpha- and beta-amino acid residues that bind tightly to the BH3 recognition site of the anti-apoptotic protein Bcl-x(L). The oligomers with highest affinity had a nine-residue N-terminal segment with a 1:1 alpha:beta residue repeat and a six-residue C-terminal segment containing exclusively proteinogenic alpha-residues. The N-terminal portions of such (alpha/beta+alpha)-peptides are highly resistant to proteolysis, but the C-terminal alpha-segments are susceptible. This study emerged from efforts to modify the alpha-segment in an (alpha/beta+alpha)-peptide in a way that would diminish proteolytic degradation but retain high affinity for Bcl-x(L). Some of the oligomers reported here could prove useful in certain biological applications, particularly those for which extended incubation in a biological milieu is required.

Comprehensive peptidome analysis of mouse livers by size exclusion chromatography prefractionation and nanoLC-MS/MS identification

Peptidome analysis has received increasing attention in recent years. Cancer diagnosis by serum peptidome has also been reported by peptides' profiling for discovery of peptide biomarkers. Tissue, which may have a higher biomarker concentration than blood, has not been investigated extensively by means of peptidome analysis. Here, a method for the peptidome analysis of mouse liver was developed by the combination of size exclusion chromatography (SEC) prefractionation with nano-liquid chromatography-tamdem mass spectrometry (nanoLC-MS/MS) analysis. The extracted peptides from mouse liver were separated according to their molecular weight using a size exclusion column. MALDI-TOF MS was used to characterize the molecular weight distribution of the peptides in fractions eluted from the SEC column. The low molecular weight (LMW) (MW < 3000 Da) peptides in the collected fractions were directly analyzed by LC-MS/MS which resulted in the identification of 1181 unique peptides (from 371 proteins). The high molecular weight (HMW) (MW > 3000 Da) peptides in the early two fractions from the SEC column were first digested with trypsin, and the resulted digests were then analyzed by LC-MS/MS, which led to the identification of 123 and 127 progenitor proteins of the HMW peptides in fractions 1 and 2, respectively. Analysis of the peptides' cleavage sites showed that the peptides are cleaved in regulation, which may reflect the protease activity and distribution in body, and also represent the biological state of the tissue and provide a fresh source for biomarker discovery.

In search of partners: linking extracellular proteases to substrates

Proteases function as molecular switches in signalling circuits at the cell surface and in the extracellular milieu. In light of the many proteases that are encoded by the genome, and the even larger number of bioactive substrates, it is crucial to identify which proteases cleave a particular substrate and which substrates individual proteases cleave. Elucidating the substrate degradomes of proteases will help us to understand the function of proteases in development and disease and to validate proteases as drug targets.

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.

A Fourier transformation based method to mine peptide space for antimicrobial activity

Background

Naturally occurring antimicrobial peptides are currently being explored as potential candidate peptide drugs. Since antimicrobial peptides are part of the innate immune system of every living organism, it is possible to discover new candidate peptides using the available genomic and proteomic data. High throughput computational techniques could also be used to virtually scan the entire peptide space for discovering out new candidate antimicrobial peptides.

Result

We have identified a unique indexing method based on biologically distinct characteristic features of known antimicrobial peptides. Analysis of the entries in the antimicrobial peptide databases, based on our indexing method, using Fourier transformation technique revealed a distinct peak in their power spectrum. We have developed a method to mine the genomic and proteomic data, for the presence of peptides with potential antimicrobial activity, by looking for this distinct peak. We also used the Euclidean metric to rank the potential antimicrobial peptides activity. We have parallelized our method so that virtually any given protein space could be data mined, in search of antimicrobial peptides.

Conclusion

The results show that the Fourier transform based method with the property based coding strategy could be used to scan the peptide space for discovering new potential antimicrobial peptides.

Highly Selective Cyclic Peptide Ligands for NeutrAvidin and Avidin Identified by Phage Display

Screening combinatorial libraries of conformationally constrained peptides against macromolecular targets is utilized in identifying novel drug leads and in developing new reagents for chemical biology. In methods such as phage-display selections, biotinylated macromolecular targets are often immobilized on avidin- and streptavidin-functionalized supports. Thus, the characterization of peptides that bind avidin and streptavidin is necessary for accurate interpretation of screening and selection results. Toward this goal, we panned a phage-displayed cyclic peptide library against NeutrAvidin, a chemically deglycosylated version of avidin. The selection produced a highly homologous consensus motif (Asp-Arg/Leu-Ala-Ser/Thr-Pro-Tyr/Trp). Two of these cyclic peptides, CDRATPYC and CDRASPYC, bound both NeutrAvidin and avidin with low-micromolar dissociation constants, whereas their acyclic counterparts had negligible affinity (< 80-fold). Moreover, these cyclic peptides were very specific for their targets and did not bind the structurally and functionally similar protein, streptavidin. Thus, we have identified a new class of cyclic peptides, distinct from the much-studied streptavidin-binding His-Pro-Gln peptide motif. These results will not only allow for discriminating between desired and background cyclic peptide motifs in selections and screens but also provide a new protein/peptide model system and a useful reagent in chemical biology that can have utility in protein immobilization, purification, and chemical tagging.

Feasibility of Supercritical Fluid Chromatography/Mass Spectrometry of Polypeptides with Up to 40-Mers

Supercritical fluid chromatography (SFC) provides a number of advantages over traditional HPLC such as speed, practical use of longer columns, a normal-phase retention mechanism, and reduced use of organic solvents. Yet, it has been a technique traditionally limited to relatively nonpolar compounds. The nature of SFC mobile and stationary phases did not allow the elution of ionic compounds or of peptides, except, in the latter case, for the most hydrophobic peptides. The characterization of peptides is critically important for drug discovery and development in the pharmaceutical industry, as well as for a variety of other important applications. Here, for the first time to our knowledge, we show that relatively large peptides (at least 40 mers), containing a variety of acidic and basic residues, can be eluted in SFC. We used trifluoroacetic acid as additive in a CO2/methanol mobile phase to suppress deprotonation of peptide carboxylic acid groups and to protonate peptide amino groups. A 2-ethylpyridine bonded silica column, which was specifically developed for SFC, was used for the majority of this work. The relatively simple mobile phase was compatible with mass spectrometric detection.

The Use of Phage-Displayed Peptide Libraries to Develop Tumor-Targeting Drugs

Monoclonal antibodies have been successfully utilized as cancer-targeting therapeutics and diagnostics, but the efficacies of these treatments are limited in part by the size of the molecules and non-specific uptake by the reticuloendothelial system. Peptides are much smaller molecules that can specifically target cancer cells and as such may alleviate complications with antibody therapy. Although many endogenous and exogenous peptides have been developed into clinical therapeutics, only a subset of these consists of cancer-targeting peptides. Combinatorial biological libraries such as bacteriophage-displayed peptide libraries are a resource of potential ligands for various cancer-related molecular targets. Target-binding peptides can be affinity selected from complex mixtures of billions of displayed peptides on phage and further enriched through the biopanning process. Various cancer-specific ligands have been isolated by in vitro, in vivo, and ex vivo screening methods. As several peptides derived from phage-displayed peptide library screenings have been developed into therapeutics in current clinical trials, which validates peptide-targeting potential, the use of phage display to identify cancer-targeting therapeutics should be further exploited.

Functional Screening of Serine Protease Inhibitors in the Medical Leech Hirudo medicinalis Monitored by Intensity Fading MALDI-TOF MS

The blood-feeding invertebrates are a rich biological source of drugs and lead compounds to treat cardiovascular diseases because they have evolved highly efficient mechanisms to feed on their hosts by blocking blood coagulation. In this work, we focused our attention on the leech Hirudo medicinalis. We performed, by "intensity fading" MALDI-TOF mass spectrometry, a comprehensive detection and functional analysis of pre-existent peptides and small proteins with the capability of binding to trypsin-like proteases related to blood coagulation. Combining "intensity fading MS" and off-line LC prefractionation allowed us to detect more than 75 molecules present in the leech extract that interact specifically with a trypsin-like protease over a sample profile of nearly 2,000 different peptides/proteins in the 2-20-kDa range. Moreover we resolved 232 individual components from the complex mixture, 13 of which have high sequence homology with previously described serine protease inhibitors. Our findings indicate that such extracts are much more complex than expected. Additionally, intensity fading MS, when complemented with LC separation strategies, seems to be a useful tool to investigate complex biological samples, establishing a new bridge between profiling, functional peptidomics, and subsequent drug discovery.