Quantitative proteomic analysis to discover potential diagnostic markers and therapeutic targets in human renal cell carcinoma

Renal cell carcinoma (RCC) is relatively resistant to chemotherapy and radiotherapy. Recent advances in drug development are providing novel agents for the treatment of RCC, but the effects are still minimal. In addition, there is an urgent need to identify diagnostic markers for RCC. In this report, to discover potential diagnostic markers and therapeutic targets, we subjected RCC samples to a quantitative proteomic analysis utilizing 2-nitrobenzenesulfenyl (NBS) reagent. Proteins were extracted from RCC and adjacent normal tissue, obtained surgically from patients, and labeled with NBS reagent containing six (12)C or (13)C. This was followed by trypsin digestion and the enrichment of labeled peptides. Samples were then subjected to analysis by MALDI-TOF MS. NBS-labeled peptides with a 6 Da difference were identified by MS/MS. Thirty-four proteins were upregulated in more than 60% of the patients of which some were previously known, and some were novel. The identity of a few proteins was confirmed by Western blotting and quantitative real time RT-PCR. The results suggest that NBS-based quantitative proteomic analysis is useful for discovering diagnostic markers and therapeutic targets for RCC.     

Selective detection of 2-nitrobenzenesulfenyl-labeled peptides by matrix-assisted laser desorption/ionization-time of flight mass spectrometry using a novel matrix

The 2-nitrobenzenesulfenyl (NBS) method, which is useful for quantitative proteome analysis, is based on stable isotope labeling of tryptophan residues with NBS chloride ((12)C(6)-NBSCl or (13)C(6)-NBSCl). We found that 3-hydroxy-4-nitrobenzoic acid (3H4NBA) is a more suitable matrix than 2,5-dihydroxybenzoic acid (DHB) for detecting NBS-labeled peptides by MALDI-quadrupole IT (QIT)-TOF MS . Furthermore, NBS-labeled peptides were selectively ionized and detected in a mixture of NBS-labeled and unlabeled peptides. Labeled paired peaks were easily detected without enrichment, nonpaired labeled peaks were clearly distinguished from unlabeled contaminating peptides, and nitrotyrosine-containing peptides were also selectively detected on the 3H4NBA matrix, while by-product-peaks arising from nitrobenzene moieties were suppressed. The use of 3H4NBA as a comatrix with CHCA improved the sensitivity of detection while substantially retaining the selectivity of 3H4NBA. The 3H4NBA matrix offers great advantages in terms of simplicity, sensitivity, and usability when used for the NBS method and for MALDI-TOF MS analysis applied to compounds having a nitrobenzene ring.     

Technical evaluation of MALDI-TOF mass spectrometry for quantitative proteomic profiling matrix formulation and application

Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) has been recently used to identify disease markers by directly profiling and quantifying the peptide/proteins in biological samples under different physiological or experimental conditions. The information of reproducibility of such quantitative profiling method has not been available. It is important to evaluate and reduce error from technical variation. In this study, an unbiased signal acquisition strategy was used to evaluate the effects of three sample-matrix spotting methods and two matrix chemicals, α-cyano-4-hydroxycinnamic acid (CHCA) and sinapinic acid, on the reproducibility of the peptide/protein signal intensities. The sandwich spotting method using 0.1% nitrocellulose coating film and CHCA gave the best quantitative results for the standard peptides and proteins with mass<66.5 kDa. The normalized signal intensities of the standard peptides and proteins were directly proportional to their concentrations with intra-assay (within-day) coefficient of variations (CVs) ranging from 6.5% to 17%. When analyzing serum peptides <6000 m/z, the interassay (between-days) CVs of all the evaluated peptide peaks were <15%. These data indicate that with the right MS analysis conditions, MALDI-TOF MS appears to be a feasible tool for directly profiling and quantifying the peptide/ proteins in biological samples.     

Comparative profiling of serum glycoproteome by sequential purification of glycoproteins and 2-nitrobenzensulfenyl (NBS) stable isotope labeling: a new approach for the novel biomarker discovery for cancer

The recent progress in various proteomic technologies allows us to screen serum biomarker including carbohydrate antigens. However, only a limited number of proteins could be detected by current conventional methods such as shotgun proteomics, primarily because of the enormous concentration distribution of serum proteins and peptides. To circumvent this difficulty and isolate potential cancer-specific biomarkers for diagnosis and treatment, we established a new screening system consisting of the sequential steps of (1) immunodepletion of 6 high-abundance proteins, (2) targeted enrichment of glycoproteins by lectin column chromatography, and (3) the quantitative proteome analysis using 12C6- or 13C6-NBS (2-nitrobenzenesulfenyl) stable isotope labeling followed by MALDI-QIT-TOF mass spectrometric analysis. Through this systematic analysis for five serum samples derived from patients with lung adenocarcinoma, we identified as candidate biomarkers 34 serum glycoproteins that revealed significant difference in alpha1,6-fucosylation level between lung cancer and healthy control, clearly demonstrating that the carbohydrate-focused proteomics could allow for the detection of serum components with cancer-specific features. In addition, we developed a more simplified and practical technique, mass spectrometry-based glycan structure analysis and lectin blotting, in order to validate glycan structure of candidate biomarkers that could be applicable in clinical use. Our new glycoproteomic strategy will provide highly sensitive and quantitative profiling of specific glycan structures on multiple proteins, which should be useful for serum biomarker discovery.     

An alternative strategy for the membrane proteome analysis of the green sulfur bacterium Chlorobium tepidum using blue native PAGE and 2-D PAGE on purified membranes

To avoid the specific problems concerning intrinsic membrane proteins in proteome analysis, an alternative strategy is described that is complementary to previous investigations using 2-D polyacrylamide gel electrophoresis (PAGE) techniques. The strategy involves (a) obtaining purified preparations of the membranes from Chlorobium tepidum by washing with 2 M NaBr, which removed membrane-associated soluble proteins and membrane-associated organelles; (b) separation of membrane protein complexes using 1-D Blue-native polyacrylamide gel electrophoresis (BN-PAGE) after solubilization with n-dodecyl-beta-d-maltoside (DDM); (c) combination of the BN with Tricine-SDS-PAGE; (d) high-throughput mass spectrometric analysis after gel band excision, in-gel digestion, and MALDI target spotting; and (e) protein identification from mixtures of tryptic peptides by peptide mass fingerprinting. Using this approach, we identified 143 different proteins, 70 of which have not been previously reported using 2-D PAGE techniques. Membrane proteins with up to 14 transmembrane helices were found, and this procedure proved to be efficient with proteins within a wide pI range (4.4-11.6). About 54% of the identified membrane proteins belong to various functional categories like energy metabolism, transport, signal transduction, and protein translocation, while for the others, a function is not yet known, indicating the potential of the method for the elucidation of the membrane proteomes in general.     

A novel alignment method and multiple filters for exclusion of unqualified peptides to enhance label-free quantification using peptide intensity in LC-MS/MS

Though many software packages have been developed to perform label-free quantification of proteins in complex biological samples using peptide intensities generated by LC-MS/MS, two critical issues are generally ignored in this field: (i) peptides have multiple elution patterns across runs in an experiment, and (ii) many peptides cannot be used for protein quantification. To address these two key issues, we have developed a novel alignment method to enable accurate peptide peak retention time determination and multiple filters to eliminate unqualified peptides for protein quantification. Repeatability and linearity have been tested using six very different samples, i.e., standard peptides, kidney tissue lysates, HT29-MTX cell lysates, depleted human serum, human serum albumin-bound proteins, and standard proteins spiked in kidney tissue lysates. At least 90.8% of the proteins (up to 1,390) had CVs ≤ 30% across 10 technical replicates, and at least 93.6% (up to 2,013) had R(2) ≥ 0.9500 across 7 concentrations. Identical amounts of standard protein spiked in complex biological samples achieved a CV of 8.6% across eight injections of two groups. Further assessment was made by comparing mass spectrometric results to immunodetection, and consistent results were obtained. The new approach has novel and specific features enabling accurate label-free quantification.     

Enrichment and analysis of peptide subsets using fluorous affinity tags and mass spectrometry

Although mass spectrometry has become a powerful tool for the functional analysis of biological systems, complete proteome characterization cannot yet be achieved. Instead, the sheer complexity of living organisms demands fractionation of cellular extracts to enable more targeted analyses. Here, we introduce the concept of "fluorous proteomics," whereby specific peptide subsets from samples of biological origin are tagged with perfluorinated moieties and subsequently enriched by solid-phase extraction over a fluorous-functionalized stationary phase. This approach is extremely selective, yet can readily be tailored to enrich different subsets of peptides. Additionally, this methodology overcomes many of the limitations of traditional bioaffinity-based enrichment strategies, while enabling new affinity enrichment schemes impossible to implement with bioaffinity reagents. The potential of this methodology is demonstrated by the facile enrichment of peptides bearing particular side-chain functionalities or post-translational modifications from tryptic digests of individual proteins as well as whole cell lysates.     

High-sensitivity analysis of human plasma proteome by immobilized isoelectric focusing fractionation coupled to mass spectrometry identification

Immobilized pH gradients isoelectric focusing (IPG-IEF) is the first dimension typically used in two-dimensional gel electrophoresis (2-DE). It can also be used on its own in conjunction with tandem mass spectrometry (MS/MS) for the analysis of proteins. Here, we described a strategy combining isoelectric focusing in immobilized pH gradient strips, and mass spectrometry to create a new high-throughput and sensitive detection method. Protein mixture is separated by in-gel IEF, then the entire strip is cut into a set of gel sections. Proteins in each gel section are digested with trypsin, and the resulted peptides are subjected to reversed-phase high performance liquid chromatography followed by electrospray-linear ion-trap tandem mass analysis. Using this optimized strategy, we have identified 744 distinct human proteins from an IPG strip loaded only 300 microg of plasma proteins. When compared with other works in published literatures, this study offered a more convenient and sensitive method from gel to mass spectrometry for the separation and identification proteins of complex biological samples.     

Relative Quantification of Proteins in Formalin-Fixed Paraffin-Embedded Breast Cancer Tissue Using Multiplexed Mass Spectrometry Assays

The identification of clinically relevant biomarkers represents an important challenge in oncology. This problem can be addressed with biomarker discovery and verification studies performed directly in tumor samples using formalin-fixed paraffin-embedded (FFPE) tissues. However, reliably measuring proteins in FFPE samples remains challenging. Here, we demonstrate the use of liquid chromatography coupled to multiple reaction monitoring mass spectrometry (LC-MRM/MS) as an effective technique for such applications. An LC-MRM/MS method was developed to simultaneously quantify hundreds of peptides extracted from FFPE samples and was applied to the targeted measurement of 200 proteins in 48 triple-negative, 19 HER2-overexpressing, and 20 luminal A breast tumors. Quantitative information was obtained for 185 proteins, including known markers of breast cancer such as HER2, hormone receptors, Ki-67, or inflammation-related proteins. LC-MRM/MS results for these proteins matched immunohistochemistry or chromogenic in situ hybridization data. In addition, comparison of our results with data from the literature showed that several proteins representing potential biomarkers were identified as differentially expressed in triple-negative breast cancer samples. These results indicate that LC-MRM/MS assays can reliably measure large sets of proteins using the analysis of surrogate peptides extracted from FFPE samples. This approach allows to simultaneously quantify the expression of target proteins from various pathways in tumor samples. LC-MRM/MS is thus a powerful tool for the relative quantification of proteins in FFPE tissues and for biomarker discovery.     

Peptide enrichment and protein fractionation using selective electrophoresis

In recent times, the analysis of the peptidome has become increasingly valuable to gain a better understanding of the critical roles native peptides play in biological processes. Here, we show a technique using a novel electrophoretic device named MF10, for the fractionation of proteins and peptides based on size and also pH in low volume liquid phase under an electric field. A 1 microM, 7-protein and peptide standard mix ranging from 1 to 25 kDa has been used to show peptide migration into a fraction contained by 1-5 kDa membranes. Simultaneous fractionation of the higher mass protein standards to the correct fraction also occurred. To assess the MF10's ability to fractionate more complex samples, human plasma was used to enrich for the peptidome below 5 kDa in the presence of the proteome. Peptide enrichment was achieved while simultaneously fractionating higher mass proteins to three other mass restricted fractions. The utility of this approach is demonstrated with the identification (with at least 2 ppm mass accuracy) of 76 unique peptides, equating to 22 proteins enriched to the 1-5 kDa fraction of the MF10.     

Algorithms and tools for analysis and management of mass spectrometry data

Mass spectrometry (MS) is a technique that is used for biological studies. It consists in associating a spectrum to a biological sample. A spectrum consists of couples of values (intensity, m/z), where intensity measures the abundance of biomolecules (as proteins) with a mass-to-charge ratio (m/z) present in the originating sample. In proteomics experiments, MS spectra are used to identify pattern expressions in clinical samples that may be responsible of diseases. Recently, to improve the identification of peptides/proteins related to patterns, MS/MS process is used, consisting in performing cascade of mass spectrometric analysis on selected peaks. Latter technique has been demonstrated to improve the identification and quantification of proteins/peptide in samples. Nevertheless, MS analysis deals with a huge amount of data, often affected by noises, thus requiring automatic data management systems. Tools have been developed and most of the time furnished with the instruments allowing: (i) spectra analysis and visualization, (ii) pattern recognition, (iii) protein databases querying, (iv) peptides/proteins quantification and identification. Currently most of the tools supporting such phases need to be optimized to improve the protein (and their functionalities) identification processes. In this article we survey on applications supporting spectrometrists and biologists in obtaining information from biological samples, analyzing available software for different phases. We consider different mass spectrometry techniques, and thus different requirements. We focus on tools for (i) data preprocessing, allowing to prepare results obtained from spectrometers to be analyzed; (ii) spectra analysis, representation and mining, aimed to identify common and/or hidden patterns in spectra sets or in classifying data; (iii) databases querying to identify peptides; and (iv) improving and boosting the identification and quantification of selected peaks. We trace some open problems and report on requirements that represent new challenges for bioinformatics.     

Mass Spectrometric Identification of Proteotypic Peptides from Clinically Used Tumor Markers

Introduction

With the rapid development of mass spectrometry-based technologies such as multiple reaction monitoring and heavy-isotope-labeled-peptide standards, quantitative analysis of biomarker proteins using mass spectrometry is rapidly progressing toward detection of target proteins/peptides from clinical samples. Proteotypic peptides are a few peptides that are repeatedly and consistently identified from a protein in a mixture and are used for quantitative analysis of the protein in a complex biological sample by mass spectrometry.

Materials and Methods

Using mass spectrometry, we identified peptide sequences and provided a list of tryptic peptides and glycopeptides as proteotypic peptides from five clinically used tumor markers, including prostate-specific antigen, carcinoembryonic antigen, Her-2, human chorionic gonadotropin, and CA125.

Conclusion

These proteotypic peptides have potential for targeted detection as well as heavy-isotope-peptide standards for quantitative analysis of marker proteins in clinical specimens using a highly specific, sensitive, and high-throughout mass spectrometry-based analysis method.     

Design and synthesis of visible isotope-coded affinity tags for the absolute quantification of specific proteins in complex mixtures

Identification of proteins in complex mixtures by mass spectrometry is most useful when quantitative data is also obtained. We recently introduced isotope-coded affinity tags (ICAT reagents) for the relative quantification of proteins present in two or more biological samples. In this report, we describe a new generation of ICAT reagents that contain the following additional features: (1) a visible tag that allows the electrophoretic position of tagged peptides during separation to be easily monitored; (2) a photocleavable linker that allows most of the tag to be removed prior to mass spectrometric analysis; (3) an isotope tag that contains carbon-13 and nitrogen-15 atoms instead of deuterium to ensure precise comigration of light and heavy tagged peptides by reverse-phase HPLC. These reagents contain an iodoacetyl group that selectively reacts with peptide cysteine residues. Peptide modification chemistry is also reported that allows tagging of peptides that are devoid of cysteine. The synthesis of these visible isotope-coded affinity tags (VICAT reagents), and their reaction with peptides are described in this report. VICAT reagents containing a carbon-14 visible probe or an NBD fluorophore are described. These reagents are most useful for the determination of the absolute quantity of specific target proteins in complex protein mixtures such as serum or cell lysates.     

An alternative strategy to determine the mitochondrial proteome using sucrose gradient fractionation and 1D PAGE on highly purified human heart mitochondria

An alternative strategy for mitochondrial proteomics is described that is complementary to previous investigations using 2D PAGE techniques. The strategy involves (a) obtaining highly purified preparations of human heart mitochondria using metrizamide gradients to remove cytosolic and other subcellular contaminant proteins; (b) separation of mitochondrial protein complexes using sucrose density gradients after solubilization with n-dodecyl-beta-D-maltoside; (c) 1D electrophoresis of the sucrose gradient fractions; (d) high-throughput proteomics using robotic gel band excision, in-gel digestion, MALDI target spotting and automated spectral acquisition; and (e) protein identification from mixtures of tryptic peptides by high-precision peptide mass fingerprinting. Using this approach, we rapidly identified 82 bona fide or potential mitochondrial proteins, 40 of which have not been previously reported using 2D PAGE techniques. These proteins include small complex I and complex IV subunits, as well as very basic and hydrophobic transmembrane proteins such as the adenine nucleotide translocase that are not recovered in 2D gels. The technique described here should also be useful for the identification of new protein-protein associations as exemplified by the validation of a recently discovered complex that involves proteins belonging to the prohibitin family.     

Unbiased identification of cysteine S-nitrosylation sites on proteins

Covalent addition of nitric oxide (NO) to Cys-sulfur in proteins, or S-nitrosylation, plays pervasive roles in the physiological and pathophysiological modulation of mammalian protein functions. Knowledge of the specific protein Cys residues that undergo NO addition in different biological settings is fundamental to understanding NO-mediated signal transduction. Here, we describe in detail an MS-based proteomic protocol for facile, high-throughput and unbiased discovery of SNO-Cys residues in proteins from complex biological samples. The approach, termed SNOSID (SNO-Cys site identification), can be used to identify endogenous and chemically induced S-nitrosylation sites in proteins from tissues or cells. Identified SNO-Cys sites may provide insights into novel mechanisms and proteins that mediate NO bioactivities in health and disease. SNOSID builds on the biotin-switch method for covalent addition of disulfide-linked biotin at S-nitrosylation sites on proteins. Biotinylated proteins are then subjected to trypsinolysis and the resulting biotin-tagged peptides are affinity-captured on streptavidin-agarose. After selective elution with beta-mercaptoethanol, the peptides are sequenced using nanoflow liquid chromatography tandem mass spectrometry (nLC-MS/MS). Validation that identified peptide ions as originating from authentic NO-Cys-containing precursor proteins can be provided by establishing that these peptide ions are absent from control samples where S-NO bonds were subjected to prior photolysis, using a UV transilluminator. The protocol requires approximately 2 days for sample processing, including the incubation time for proteolysis. An additional 1-2 days is needed for sample analysis by nLC-MS/MS and data analysis/interpretation.     

Label-free quantitation, an extension to 2DB

Determining the differential expression of proteins under different conditions is of major importance in proteomics. Since mass spectrometry-based proteomics is often used to quantify proteins, several labelling strategies have been developed. While these are generally more precise than label-free quantitation approaches, they imply specifically designed experiments which also require knowledge about peptides that are expected to be measured and need to be modified. We recently designed the 2DB database which aids storage, analysis, and publication of data from mass spectrometric experiments to identify proteins. This database can aid identifying peptides which can be used for quantitation. Here an extension to the database application, named MSMAG, is presented which allows for more detailed analysis of the distribution of peptides and their associated proteins over the fractions of an experiment. Furthermore, given several biological samples in the database, label-free quantitation can be performed. Thus, interesting proteins, which may warrant further investigation, can be identified en passant while performing high-throughput proteomics studies.     

Mass spectrometric identification of serum peptides employing derivatized poly(glycidyl methacrylate/divinyl benzene) particles and mu-HPLC

Biomarkers play a key role in preclinical screening and diagnosis of a disease. Various support materials are utilized for this task, in combination with MALDI-TOF-MS. The way to effectively bind serum contents and their profiling is well-elaborated by the material-enhanced laser desorption ionization (MELDI) approach. In this particular work, focus is placed on the development of a strategy to identify low molecular weight serum peptides. Poly(GMA/DVB) is derivatized in a way to achieve an affinity termed as immobilized metal ion affinity chromatography (IMAC). Iminodiacetic acid (IDA) is used as a chelating ligand, whereas copper (Cu2+) acts as a metal ion for complexing peptides and proteins out of blood serum. Polymer binds the serum compounds over a broad mass range, which includes low mass peptides and high mass albumin (66 kDa). Bound contents are eluted from material by an acetonitrile/trifluoroacetic acid mixture, which proves the reversible nature of metal and amino acid linkage. Polystyrene/divinyl benzene (PS/DVB) monolithic capillary column is used for fractionation through RP-HPLC, prior to the target spotting. The tandem TOF fragment ion mass spectra of each fraction is acquired and used to search against the Swiss-Prot database, using the Mascot search engine for the identification of peptides.     

Development of proteomic tools to study protein adsorption on a biomaterial, titanium grafted with poly(sodium styrene sulfonate)

It is known that protein adsorption is the initial interaction between implanted biomaterials and biological environment. Generally, a complex protein layer will be formed on material surfaces within a few minutes and the composition of this layer at the interface determines the biological response to the implanted material, and therefore the long-term compatibility of the biomaterial. Despite different techniques exist to observe protein adsorption on biomaterials, none of them led to the identification of adsorbed proteins. In this paper, we report a chromatographic technique coupled to proteomics to analyse and identify proteins from complex biological samples adsorbed on biomaterial surfaces. This approach is based on (1) elaboration of the chromatographic support containing the biomaterial (2) a chromatography step involving adsorption of proteins on the biomaterial (3) the high-resolution separation of eluted proteins by 2-DE gel and (4) the identification of proteins by mass spectrometry. Experiments were performed with proteins from platelets rich plasma (PRP) adsorbed on a biomaterial which consist in titanium bioactivated with PolyNaSS. Our results show that chromatographic approach combined to 2-DE gels and mass spectrometry provides a powerful tool for the analysis and identification of proteins adsorbed on various surfaces.     

Quantification of C-reactive protein in the serum of patients with rheumatoid arthritis using multiple reaction monitoring mass spectrometry and 13C-labeled peptide standards

A general method for the quantification of proteins in human serum was developed using mass spectrometry (MS) and stable isotope-labeled synthetic peptides as internal standards. Using this approach, C-reactive protein (CRP), a diagnostic marker of rheumatoid arthritis (RA), was detected in serum samples taken from patients with either erosive or nonerosive RA and compared to healthy individuals. Small volumes of serum samples were enriched for low-abundance proteins through the selective removal of human serum albumin (HSA), immunoglobulin G (IgG), and haptoglobin. After depletion of abundant proteins, the complexity of the protein mixture was further simplified using size exclusion chromatography (SEC) to fractionate denatured proteins into discrete molecular weight ranges. Fractions of interest containing CRP, M(r) = 25 000, were pooled, digested with trypsin, and then fixed quantities of the synthetic peptides were added to the mixture. The mixture of tryptic peptides was subsequently analyzed by nanoflow chromatography-tandem MS (nanoLC-MS/MS) using multiple-reaction monitoring (MRM) on a triple quadrupole mass spectrometer (TQ-MS). The ratio of transition ions derived from the endogenous and isotope-labeled peptides provided a quantitative measure of CRP in the original samples as assessed by independent measurement of CRP in the same patient samples using an immunoassay. The use of isotope-labeled synthetic peptides and MRM is a powerful analytical method for the prescreening of candidate protein biomarkers in human serum prior to antibody and immunoassay development.     

Graphite powder as an alternative or supplement to reversed-phase material for desalting and concentration of peptide mixtures prior to matrix-assisted laser desorption/ionization-mass spectrometry

The success attributed to identification and characterization of gel separated proteins by mass spectrometry (MS) is highly dependent on the percentage of an entire sequence covered by matching peptides derived from enzymatic digestion. Desalting and concentration of peptide mixtures on reversed-phase (RP) microcolumns prior to mass spectrometric analysis have resulted in increased signal-to-noise ratio and sensitivity, and consequently higher sequence coverage. A large proportion of peptides, however, remains undetected by MS presumably because they are lost during sample preparation on microcolumns, or are suppressed in the ionization process. We report here the use of graphite powder packed in constricted GELoader tips as an alternative to RP microcolumns for desalting and concentration of peptide mixtures prior to MS. Such columns are able to retain small and/or hydrophilic peptides that can be lost when using RP microcolumns. In addition, we show that samples contaminated with small biological polymers can readily be analyzed using graphite powder rather than RP microcolumns, since the polymer molecules bind strongly to graphite and are not eluted with the peptides.