Combinatorial Peptide Ligand Libraries Research Articles

Zeus, Aesculapius, Amalthea and the proteome of goat milk

The goat whey proteome has been explored in depth via capture with combinatorial peptide ligand libraries (CPLLs) at three different pH values. A total of 452 unique species have been tabulated, a proteome discovery so far unmatched in any single other investigation of milk from any mammalian species. This massive discovery is probably related to: i) the extraordinary load of proteins onto the CPLL beads (i.e. 2g for each different pH captures) vs. barely 100μL of beads; ii) the high resolution/high mass accuracy of mass spectral data; and iii) the use of two complementary tools, Mascot and PEAKS, each one contributing to a set of unique protein IDs. Due to the relative paucity of available protein annotations for goat, only 10% of the identified proteins belong to the capra, whereas 52% are specific of sheep and 37% are homologous to that of bovine milk. This work reports the largest description so far of the goat milk proteome, which has been compared with cow's milk proteome and would thus help to understand the importance of low-abundance proteins with respect to the unique biological properties of this nutrient.

Widening and diversifying the proteome capture by combinatorial peptide ligand libraries via Alcian Blue dye binding.

Combinatorial peptide ligand libraries (CPLLs) tend to bind complex molecules such as dyes due to their aromatic, heterocyclic, hydrophobic, and ionic nature that may affect the protein capture specificity. In this experimental work Alcian Blue 8GX, a positively charged phthalocyanine dye well-known to bind to glycoproteins and to glucosaminoglycans, was adsorbed on a chemically modified CPLL solid phase, and the behavior of the resulting conjugate was then investigated. The control and dye-adsorbed beads were used to harvest the human urinary proteome at physiological pH, this resulting in a grand total of 1151 gene products identified after the capture. Although the Alcian Blue-modified CPLL incremented the total protein capture by 115 species, it particularly enriched some families among the harvested proteins, such as glycoproteins and nucleotide-binding proteins. This study teaches that it is possible, via the two combined harvest mechanisms, to drive the CPLL capture toward the enrichment of specific protein categories.

An alternative method for serum protein depletion/enrichment by precipitation at mildly acidic pH values and low ionic strength.

Serum proteome analysis is severely hampered by the extreme dynamic range of protein concentrations, but tools for the specific depletion of highly abundant serum proteins lack for most farm and companion animals. A well-established alternative strategy to reduce the dynamic range of plasma protein concentrations, treatment with combinatorial peptide ligand libraries (CPLL), is generally applicable but requires large amounts of sample. Therefore, additional depletion/enrichment protocols for plasma and serum samples from animals are desirable. In this respect, we have tested a protein precipitate that formed after withdrawal of salt from human, bovine, or porcine serum at pH 4.2. The bovine sample was composed of over 300 proteins making it a potential source for biomarker discovery. Precipitation was highly reproducible and the concentrations of albumin and other highly abundant serum proteins were strongly reduced. In comparison to the CPLL treatment, precipitation did not introduce any selection bias based on hydrophathy or pI. However, the composition of both preparations was partially complementary. Salt withdrawal at pH 4.2 is suggested as additional depletion/enrichment strategy for serum samples. Also, we point out that the removal of precipitates from serum samples under the described conditions bears the risk of losing a valuable protein fraction.

A sarabande of tropical fruit proteomics: Avocado, banana, and mango.

The present review highlights the progress made in plant proteomics via the introduction of combinatorial peptide ligand libraries (CPLL) for detecting low-abundance species. Thanks to a novel approach to the CPLL methodology, namely, that of performing the capture both under native and denaturing conditions, identifying plant species in the order of thousands, rather than hundreds, is now possible. We report here data on a trio of tropical fruits, namely, banana, avocado, and mango. The first two are classified as "recalcitrant" tissues since minute amounts of proteins (in the order of 1%) are embedded on a very large matrix of plant-specific material (e.g., polysaccharides and other plant polymers). Yet, even under these adverse conditions we could report, in a single sweep, from 1000 to 3000 unique gene products. In the case of mango the investigation has been extended to the peel too, since this skin is popularly used to flavor dishes in Far East cuisine. Even in this tough peel 330 proteins could be identified, whereas in soft peels, such as in lemons, one thousand unique species could be detected.

Dynamic range compression with ProteoMiner™: principles and examples.

One of the main challenges in proteomics investigation, protein biomarker research, and protein purity and contamination analysis is how to efficiently enrich and detect low-abundance proteins in biological samples. One approach that makes the detection of rare species possible is the treatment of biological samples with solid-phase combinatorial peptide ligand libraries, ProteoMiner. This method utilizes hexapeptide bead library with huge diversity to bind and enrich low-abundance proteins but remove most of the high-abundance proteins, therefore compresses the protein abundance range in the samples. This work describes optimized protocols and highlights on the successful application of ProteoMiner to protein identification and analysis.

Characterization of new outer membrane proteins of Pseudomonas aeruginosa using a combinatorial peptide ligand library.

Most often, the use of ProteoMiner beads has been restricted to human serum proteins for the normalization of major proteins, such as albumin. However, there are other situations of interest in which the presence of major proteins would quench the signals of low abundance polypeptides. We propose the use of these beads for investigating the envelope of the gram-negative bacterium Pseudomonas aeruginosa. Initially, we performed comparative 2D electrophoresis to qualitatively evaluate the incidence of the normalization stage. This demonstrated a significant reduction of the major membrane proteins. Thereafter, using shotgun analysis, the same protein extract was targeted by using combinatorial peptide ligand library capture. This treatment yielded 154 additional outer membrane proteins (OMPs) uncovered by the study of the crude sample.

Sample treatment methods involving combinatorial peptide ligand libraries for improved proteomes analyses.

If used in an optimized manner, the technology of combinatorial peptide solid-phase libraries can easily improve the analytical determinations of proteomes by several factors. The discovery of novel species and of early stage biomarkers becomes thus reachable with a simple sample treatment. This report describes the most important point to consider (overloading and full recovery) along with a minimum scientific background and gives then detailed recipes to laboratory technicians. Orientations for optional routes are also given according to the objective of the experimental investigations. This covers different approaches to capture proteins of very low abundance. Total protein harvestings to prevent partial losses are also described such as single exhaustive desorption and fractionated elutions for more detailed analyses. Documented results are also reported demonstrating the capability of the technology well beyond what is the common assumption.

Shotgun proteome analysis of honeybee venom using targeted enrichment strategies

The aim of this study was to explore the honeybee venom proteome applying a shotgun proteomics approach using different enrichment strategies (combinatorial peptide ligand libraries and solid phase extraction). The studies were conducted using nano-LC/MALDI-TOF/TOF-MS system. The MS analysis of peptide profiles (in the range of 900–4500 Da) and virtual gel-image of proteins from Lab-on-Chip assay (in the range of 10–250 kDa) confirm that use of targeted enrichment strategies increase detection of honeybee venom components. The gel-free shotgun strategy and sophisticated instrumentation led to a significant increase of the sensitivity and higher number of identified peptides in honeybee venom samples, comparing with the current literature. Moreover, 11 of 12 known honeybee venom allergens were acknowledged and 4 new, so far uncharacterized proteins were identified. In addition, similarity searches were performed in order to investigate biological relations and homology between newly identified proteins sequences from Apis mellifera and other Hymenoptera.

From hundreds to thousands: Widening the normal human Urinome.

The limits on protein detection in urine are unknown. Improving the analytical approach to detection would increase the number of identified proteins and potentially strengthen their predictive potential in diseases.Here, we present the data that resulted from a combination of analytical procedures for maximizing sensitivity and reproducibility of normal human urinary proteome analysis. These procedures are ultracentrifugation, vesicle separation, combinatorial peptide ligand libraries (CPLL) and solvent removal of pigments. Proteins were identified by an Orbitrap Velos Mass Spectrometry. 3429 proteins are characterized, 1724 of which are novel discoveries.The data are related to Santucci et al. (in press) [1] and available both here and at ChorusProject.org under project name “From hundreds to thousands: widening the normal human Urinome”. The material supplied to Chorus Progect.org includes technical MS spectra data only.

Combinatorial peptide ligand libraries as a "Trojan Horse" in deep discovery proteomics.

Combinatorial peptide ligand libraries as a "Trojan Horse" in deep discovery proteomics.

From hundreds to thousands: Widening the normal human Urinome (1)

It is currently unknown how many proteins can be detected in urine. Improving the analytical approach would increase their number and potentially strengthen their predictive potential in diseases. We developed a combination of analytical procedures for maximizing sensitivity and reproducibility of normal human urinary proteome analysis based on ultracentrifugation, vesicles separation, combinatorial peptide ligand libraries (CPLL) and solvent removal of pigments. Proteins were identified by an Orbitrap Velos Mass Spectrometry. Overall, 3429 proteins were characterized: most components (1615) were contained in vesicles while the remaining 1794 were equally distributed among CPLL and butanol insoluble fractions. Several proteins were detected exclusively in one of the phases of the procedure, suggesting that each step is crucial in the fractionation strategy. Many (1724) proteins are described here whose presence in urine has never been reported and represents a potential source of information considering that urine is the unique site of excretion of products of interaction of metabolic processes. Improving the characterization of normal urinary proteome would also represent the basis for the analysis of urine biomarkers in human diseases. Sub-fractionating normal urine by successive steps (vesicle separation, CPLL and solvent treatments) allowed the identification of 3429 proteins, a relevant part (1724) being detected for the first time in urine. Several proteins of new description have been implicated in physiology pathways and in pathologies thus representing a potential source of new information on both metabolic processes and diseases.

Proteomics analysis of Mahonia bealei leaves with induction of alkaloids via combinatorial peptide ligand libraries.

Besides the effective and innovative process to improve the contents of alkaloids in M. bealei leaves for industrial production, the presented combinatorial hexapeptide ligand library technology was applied for the study of low-abundance protein in medicinal plant. It may be an available tool for the analysis of the secondary proteins.

According to the CPLL proteome sheriffs, not all aperitifs are created equal!

Combinatorial peptide ligand libraries (CPLLs) have been adopted for investigating the proteome of a popular aperitif in Northern Italy, called “Amaro Branzi”, stated to be an infusion of a secret herbal mixture, of which some ingredients are declared on the label, namely Angelica officinalis, Gentiana lutea and orange peel, sweetened by a final addition of honey. In order to assess the genuineness of this commercial liqueur, we have prepared extracts of the three vegetable ingredients, assessed their proteomes, and compared them to the one found in the aperitif. The amaro's proteome was identified via prior capture with CPLLs at two different pH values (2.2 and 4.8). Via mass spectrometry analysis of the recovered fractions, after elution of the captured populations in 4% boiling SDS, we could confirm the presence of the following: six proteins originating from honey, 11 from orange peels, 29 from G. lutea and 46 from A. officinalis (including shared species), plus 33 species which could not be attributed to the other secret ingredients, due to paucity of genomic data on plant proteins, for a total of 93 unique gene products (merging shared proteins). This fully confirmed the genuineness of the product. Considering that most of these species could be present in trace amounts, undetectable by conventional techniques, the CPLL methodology, due to its ability to enhance the signal of trace components up to 3 to 4 orders of magnitude, could represent a powerful tool for investigating the genuineness and natural origin of commercial beverages in order to protect consumers from adulterated products.

The "Dark Side" of Food Stuff Proteomics: The CPLL-Marshals Investigate.

The present review deals with analysis of the proteome of animal and plant-derived food stuff, as well as of non-alcoholic and alcoholic beverages. The survey is limited to those systems investigated with the help of combinatorial peptide ligand libraries, a most powerful technique allowing access to low- to very-low-abundance proteins, i.e., to those proteins that might characterize univocally a given biological system and, in the case of commercial food preparations, attest their genuineness or adulteration. Among animal foods the analysis of cow’s and donkey’s milk is reported, together with the proteomic composition of egg white and yolk, as well as of honey, considered as a hybrid between floral and animal origin. In terms of plant and fruits, a survey is offered of spinach, artichoke, banana, avocado, mango and lemon proteomics, considered as recalcitrant tissues in that small amounts of proteins are dispersed into a large body of plant polymers and metabolites. As examples of non-alcoholic beverages, ginger ale, coconut milk, a cola drink, almond milk and orgeat syrup are analyzed. Finally, the trace proteome of white and red wines, beer and aperitifs is reported, with the aim of tracing the industrial manipulations and herbal usage prior to their commercialization.

Towards an Animal Model of Ovarian Cancer: Cataloging Chicken Blood Proteins Using Combinatorial Peptide Ligand Libraries Coupled with Shotgun Proteomic Analysis for Translational Research

Epithelial ovarian cancer is the most deadly gynecological cancer around the world, with high morbidity in industrialized countries. Early diagnosis is key in reducing its morbidity rate. Yet, robust biomarkers, diagnostics, and animal models are still limited for ovarian cancer. This calls for broader omics and systems science oriented diagnostics strategies. In this vein, the domestic chicken has been used as an ovarian cancer animal model, owing to its high rate of developing spontaneous epithelial ovarian tumors. Chicken blood has thus been considered a surrogate reservoir from which cancer biomarkers can be identified. However, the presence of highly abundant proteins in chicken blood has compromised the applicability of proteomics tools to study chicken blood owing to a lack of immunodepletion methods. Here, we demonstrate that a combinatorial peptide ligand library (CPLL) can efficiently remove highly abundant proteins from chicken blood samples, consequently doubling the number of identified proteins. Using an integrated CPLL-1DGE-LC-MSMS workflow, we identified a catalog of 264 unique proteins. Functional analyses further suggested that most proteins were coagulation and complement factors, blood transport and binding proteins, immune- and defense-related proteins, proteases, protease inhibitors, cellular enzymes, or cell structure and adhesion proteins. Semiquantitative spectral counting analysis identified 10 potential biomarkers from the present chicken ovarian cancer model. Additionally, many human homologs of chicken blood proteins we have identified have been independently suggested as diagnostic biomarkers for ovarian cancer, further triangulating our novel observations reported here. In conclusion, the CPLL-assisted proteomic workflow using the chicken ovarian cancer model provides a feasible platform for translational research to identify ovarian cancer biomarkers and understand ovarian cancer biology. To the best of our knowledge, we report here the most comprehensive survey of the chicken blood proteome to date.

It's time to pop a cork on champagne's proteome!

Champagne is a world-renowned French sparkling wine, which undergoes many steps (fermentation, aging …) for its elaboration. Various compounds might evolve during this winemaking process and thus modify its final quality. Here, we report the first proteome analysis of two standard commercial Champagne wines, using the powerful Combinatorial Peptide Ligand Library (CPLL) technique. Indeed, wine proteins are present in small amounts but they are key compounds, likely to impact on both foam quality and aroma behavior. Forty-three unique gene products were retrieved in a single-varietal champagne and a blended champagne. Several proteins from Vitis vinifera together with seven yeast proteins were undoubtedly identified in these Champagne wines. The main advantage of CPLLs was the detection of low abundance proteins despite the absence of purification or pre-concentration step. It is an important fact to take into account, since Champagne wines generally contain a low amount of proteins (5-10mg/L) that implies to usually concentrate wine proteins before 1D or 2D electrophoresis. Most Champagne proteins are grape and yeast glycoproteins which are considered as good foam "promoters". Some of these proteins might also interact with wine aromas, and thus contribute to the overall quality of Champagne wines. This article is part of a Special Issue entitled: Proteomics of non-model organisms.

Exploring the hidden honeybee (Apis mellifera) venom proteome by integrating a combinatorial peptide ligand library approach with FTMS

At present, 30 compounds have been described in the venom of the honeybee, and 16 of them were confirmed by mass spectrometry. Previous studies typically combined 2-D PAGE with MALDI-TOF/TOF MS, a technology which now appears to lack sensitivity to detect additional venom compounds. Here, we report an in-depth study of the honeybee venom proteome using a combinatorial peptide ligand library sample pretreatment to enrich for minor components followed by shotgun LC-FT-ICR MS analysis. This strategy revealed an unexpectedly rich venom composition: in total 102 proteins and peptides were found, with 83 of them never described in bee venom samples before. Based on their predicted function and subcellular location, the proteins could be divided into two groups. A group of 33 putative toxins is proposed to contribute to venom activity by exerting toxic functions or by playing a role in social immunity. The other group, considered as venom trace molecules, appears to be secreted for their functions in the extracellular space, or is unintentionally secreted by the venom gland cells due to insufficient protein recycling or co-secretion with other compounds. In conclusion, our approach allowed to explore the hidden honeybee venom proteome and extended the list of potential venom allergens. This study dug deeper into the complex honeybee venom proteome than ever before by applying a highly performing sample pretreatment and mass spectrometric technology. We present putative biological functions for all identified compounds, largely extending our knowledge of the venom toxicity. In addition, this study offers a long list of potential new venom allergens.

Egisto Boschetti and Pier Giorgio Righetti: Low-abundance proteome discovery: state of the art and protocols

Book’s topic This book is dedicated to a single method, the application of combinatorial peptide ligand libraries (CPLLs) to facilitate detection of low-abundance protein species from complex matrices. The approach, first described in 2005, uses a combinatorial library of hexamer peptides to reduce the dynamic range of protein abundances in body fluids and all kinds of challenging samples. This technology was commercialized as Equalizer beads (Ciphergen) and ProteoMiner (Bio-Rad). The purpose of the book is best described by the authors themselves: ‘In an attempt to popularize it [the CPLL method] and reveal the intricacies of this unique methodology, this book deals with CPLL in depth and shows how their proper use could make you a winner in the field’. Readers hoping for a more comprehensive and balanced description of proteomics methods are referred to the rich body of recent literature.

Targeting deeper the human serum fucome by a liquid-phase multicolumn platform in combination with combinatorial peptide ligand libraries.

Combinatorial peptide ligand library (CPLL) was evaluated as an off line step to narrow the differences of protein concentration in human serum prior to the capturing of human fucome from disease-free and breast cancer sera by a multicolumn platform via lectin affinity chromatography (LAC) followed by the fractionation of the captured glycoproteins by reversed phase chromatography (RPC). Two monolithic lectin columns specific to fucose, namely Aleuria aurantia lectin (AAL) and Lotus tetragonolobus agglutinin (LTA) columns were utilized to capture the fucome, which was subsequently fractionated by RPC yielding desalted fractions in volatile acetonitrile-rich mobile phase, which after vacuum evaporation were subjected to tryptic digestion prior to LC-MS/MS analysis. AAL has a strong affinity towards core fucosylated N-glycans and has a weak binding towards fucose in the outer arm while LTA can bind to glycans having fucose present in the outer arm. The combined strategy consisting of the CPLL, multicolumn platform and LC-MS/MS analysis permitted the identification of the differentially expressed proteins (DEPs) in breast cancer serum yielding 58 DEPs in both the LTA and AAL fractions with 6 DEPs common to both lectins. 17 DEPs were of the low abundance type, 16 DEPs of the borderline abundance type, 4 DEPs of the medium abundance type and 15 DEPs of the high abundance type. The remaining 6 DEPs are of unknown concentration. Only proteins exhibiting 99.9% protein identification probability, 95% peptide identification probability, and a minimum of 5 unique peptides were considered in finding the DEPs via scatterplots.

Local carotid atherosclerotic plaque proteins for the identification of circulating biomarkers in coronary patients

ObjectiveTo identify circulating biomarkers that originate from atherosclerotic vulnerable plaques and that could predict future cardiovascular events. MethodsAfter a protein enrichment step (combinatorial peptide ligand library approach), we performed a two-dimensional electrophoresis comparative analysis on human carotid plaque protein extracts (fibrotic and hemorrhagic atherosclerotic plaques). In silico analysis of the biological processes was applied on proteomic data. Luminex xMAP assays were used to quantify inflammatory components in carotid plaques. The systemic quantification of proteins originating from vulnerable plaques in blood samples from patients with stable and unstable coronary disease was evaluated. ResultsA total of 118 proteins are differentially expressed in fibrotic and hemorrhagic plaques, and allowed the identification of three biological processes related to atherosclerosis (platelet degranulation, vascular autophagy and negative regulation of fibrinolysis). The multiplex assays revealed an increasing expression of VEGF, IL-6, IL-8, IP-10 and RANTES in hemorrhagic as compared to fibrotic plaques (p < 0.05). Measurement of protein expressions in plasmas from patients with stable and unstable coronary disease identified a combination of biomarkers, including proteins of the smooth muscle cell integrity (Calponin-1), oxidative stress (DJ-1) and inflammation (IL-8), that allows the accurate classification of patients at risk (p = 0.0006). ConclusionUsing tissue protein enrichment technology, we validated proteins that are differentially expressed in hemorrhagic plaques as potential circulating biomarkers of coronary patients. Combinations of such circulating biomarkers could be used to stratify coronary patients.