Proteolytic 18O labeling for comparative proteomics: model studies with two serotypes of adenovirus

Mass spectrometry tools for analysis of intermolecular interactions

The small quantities of protein required for mass spectrometry (MS) make it a powerful tool to detect binding (protein-protein, protein-small molecule, etc.) of proteins that are difficult to express in large quantities, as is the case for many intrinsically disordered proteins. Chemical cross-linking, proteolysis, and MS analysis, combined, are a powerful tool for the identification of binding domains. Here, we present a traditional approach to determine protein-protein interaction binding sites using heavy water ((18)O) as a label. This technique is relatively inexpensive and can be performed on any mass spectrometer without specialized software.

A new strategy of using O18-labeled iodoacetic acid for mass spectrometry-based protein quantitation

A new O(18) labeling protocol is designed to assist quantitation of cysteine-containing proteins using LC/MS. Unlike other O(18) labeling strategies, the labeling is carried out at the intact protein level (prior to its digestion) during reduction/alkylation of cysteine side chains using O(18)-labeled iodoacetic acid (IAA). The latter can be easily prepared by exchanging carboxylic oxygen atoms of commercially available IAA in O(18)-enriched water at low pH. Since incorporation of the O(18) label in the protein occurs at the whole protein, rather than peptide level, the quantitation results are not peptide-dependent. The excellent stability of the label in mild pH conditions provides flexibility and robustness needed of sample processing steps following the labeling. In contrast to generally costly isotope labeling reagents, this approach uses only two relatively inexpensive commercially available reagents (IAA and H(2)O(18)). The feasibility of the new method is demonstrated using an 80 kDa human serum transferrin (hTf) as a model, where linear quantitation is achieved across a dynamic range spanning three orders of magnitude. The new approach can be used in quantitative proteomics applications and is particularly suitable for a variety of tasks in the biopharmaceutical sector, ranging from pharmacokinetic studies to quality control of protein therapeutics.

Tailor-made magnetic Fe3O4@mTiO2 microspheres with a tunable mesoporous anatase shell for highly selective and effective enrichment of phosphopeptides

Selective enrichment of phosphoproteins or phosphopeptides from complex mixtures is essential for MS-based phosphoproteomics, but still remains a challenge. In this article, we described an unprecedented approach to synthesize magnetic mesoporous Fe(3)O(4)@mTiO(2) microspheres with a well-defined core/shell structure, a pure and highly crystalline TiO(2) layer, high specific surface area (167.1 m(2)/g), large pore volume (0.45 cm(3)/g), appropriate and tunable pore size (8.6-16.4 nm), and high magnetic susceptibility. We investigated the applicability of Fe(3)O(4)@mTiO(2) microspheres in a study of the selective enrichment of phosphopeptides. The experiment results demonstrated that the Fe(3)O(4)@mTiO(2) possessed remarkable selectivity for phosphopeptides even at a very low molar ratio of phosphopeptides/non-phosphopeptides (1:1000), large enrichment capacity (as high as 225 mg/g, over 10 times as that of the Fe(3)O(4)@TiO(2) microspheres), extreme sensitivity (the detection limit was at the fmol level), excellent speed (the enrichment can be completed in less than 5 min), and high recovery of phosphopeptides (as high as 93%). In addition, the high magnetic susceptibility allowed convenient separation of the target peptides by magnetic separation. These outstanding features give the Fe(3)O(4)@mTiO(2) composite microspheres high benefit for mass spectrometric analysis of phosphopeptides.

Recent advances on multidimensional liquid chromatography-mass spectrometry for proteomics: from qualitative to quantitative analysis--a review

With the acceleration of proteome research, increasing attention has been paid to multidimensional liquid chromatography-mass spectrometry (MDLC-MS) due to its high peak capacity and separation efficiency. Recently, many efforts have been put to improve MDLC-based strategies including "top-down" and "bottom-up" to enable highly sensitive qualitative and quantitative analysis of proteins, as well as accelerate the whole analytical procedure. Integrated platforms with combination of sample pretreatment, multidimensional separations and identification were also developed to achieve high throughput and sensitive detection of proteomes, facilitating highly accurate and reproducible quantification. This review summarized the recent advances of such techniques and their applications in qualitative and quantitative analysis of proteomes.

Comparative study of workflows optimized for in-gel, in-solution, and on-filter proteolysis in the analysis of plasma membrane proteins

Proteomic studies of plasma membrane proteins are challenged by the limited solubility of these proteins and the limited activity of proteolytic enzymes in solubilizing agents such as SDS. In this work, we have evaluated three bottom-up workflows to obtain tryptic peptides from plasma membrane proteins solubilized with 2% SDS. The workflows are in-gel digestion, in-solution digestion, and on-filter digestion. The efficiencies of these strategies, optimized to employ different matrices for trypsin cleavage, were compared using a plasma membrane sample enriched from multiple myeloma cells using a nanoparticle pellicle. On the basis of the number of proteins identified, number of transmembrane proteins identified, hydrophobicity, and spectral count per protein, the workflow that uses in-gel digestion is the most advantageous approach for analysis of plasma membrane proteins.

Characterization of the tick-pathogen interface by quantitative proteomics

Ticks are vectors of pathogens that affect human and animal health worldwide. Ticks and the pathogens they transmit have co-evolved molecular interactions involving genetic traits of both the tick and the pathogen that mediate their development and survival. Proteomics and genomics studies of infected ticks are required to understand tick-pathogen interactions and identify potential vaccine antigens to control tick infestations and pathogen transmission. In this paper, the application of quantitative proteomics to characterize differential protein expression in ticks and cultured tick cells in response to pathogen infection is reviewed. Analyses using (a) two-dimensional differential in gel electrophoresis (DIGE) labeling and (b) protein one-step in gel digestion, peptide iTRAQ labeling, and isoelectric focusing fractionation, both followed by peptide and protein identifications by mass spectrometry resulted in the identification of host, pathogen, and tick proteins differentially expressed in response to infection. Although at its infancy, these results showed that quantitative proteomics is a powerful approach to characterize the tick-pathogen interface and demonstrated pathogen and tick-specific differences in protein expression in ticks and cultured tick cells in response to pathogen infection.

Quantitative proteomic analysis of mouse embryonic fibroblasts and induced pluripotent stem cells using 16O/18O labeling

Induced pluripotent stem cells (iPSC) hold great promise for regenerative medicine as well as for investigations into the pathogenesis and treatment of various diseases. Understanding of key intracellular signaling pathways and protein targets that control development of iPSC from somatic cells is essential for designing new approaches to improve reprogramming efficiency. Here, we report the development and application of an integrated quantitative proteomics platform for investigating differences in protein expressions between mouse embryonic fibroblasts (MEF) and MEF-derived iPSC. This platform consists of 16O/18O labeling, multidimensional peptide separation coupled with tandem mass spectrometry, and data analysis with UNiquant software. With this platform, a total of 2481 proteins were identified and quantified from the 16O/18O-labeled MEF-iPSC proteome mixtures with a false discovery rate of 0.01. Among them, 218 proteins were significantly upregulated, while 247 proteins were significantly downregulated in iPSC compared to MEF. Many nuclear proteins, including Hdac1, Dnmt1, Pcna, Ccnd1, Smarcc1, and subunits in DNA replication and RNA polymerase II complex, were found to be enhanced in iPSC. Protein network analysis revealed that Pcna functions as a hub orchestrating complicated mechanisms including DNA replication, epigenetic inheritance (Dnmt1), and chromatin remodeling (Smarcc1) to reprogram MEF and maintain stemness of iPSC.

Effects of ethanol on conformational changes of Akt studied by chemical cross-linking, mass spectrometry, and (18)O labeling

Although PI3K/Akt signaling that regulates neuronal survival has been implicated in the deleterious effects of ethanol on the central nervous system, underlying molecular mechanisms have not been fully elucidated. Akt-membrane interaction is a prerequisite step for Akt activation since it induces interdomain conformational changes to an open conformer that allows Akt phosphorylation by upstream kinases. In this study, we investigated the effect of ethanol on Akt activation by quantitatively probing Akt conformation using chemical cross-linking, (18)O labeling and mass spectrometry. We found that ethanol at pharmacologically relevant concentrations (20 or 170 mM) directly interacts with Akt and alters the local pleckstrin homology domain configuration near the PIP(3)-binding site. We also found that ethanol significantly impairs subsequent membrane-induced interdomain conformational changes needed for Akt activation. The observed alteration of Akt conformation caused by ethanol during the activation sequence provides a new molecular basis for the effects of ethanol on Akt signaling. The in vitro conformation-based approach employed in this study should also be useful in probing the molecular mechanisms for the action of ethanol or drugs on other signaling proteins, particularly for those undergoing dramatic conformational change during activation processes such as members of AGC kinase super family.

Systematic comparison of label-free, metabolic labeling, and isobaric chemical labeling for quantitative proteomics on LTQ Orbitrap Velos

A variety of quantitative proteomics methods have been developed, including label-free, metabolic labeling, and isobaric chemical labeling using iTRAQ or TMT. Here, these methods were compared in terms of the depth of proteome coverage, quantification accuracy, precision, and reproducibility using a high-performance hybrid mass spectrometer, LTQ Orbitrap Velos. Our results show that (1) the spectral counting method provides the deepest proteome coverage for identification, but its quantification performance is worse than labeling-based approaches, especially the quantification reproducibility; (2) metabolic labeling and isobaric chemical labeling are capable of accurate, precise, and reproducible quantification and provide deep proteome coverage for quantification; isobaric chemical labeling surpasses metabolic labeling in terms of quantification precision and reproducibility; and (3) iTRAQ and TMT perform similarly in all aspects compared in the current study using a CID-HCD dual scan configuration. On the basis of the unique advantages of each method, we provide guidance for selection of the appropriate method for a quantitative proteomics study.

Using extracellular matrix proteomics to understand left ventricular remodeling

Survival following myocardial infarction (MI) has improved substantially over the last 40 years; however, the incidence of subsequent congestive heart failure has dramatically increased as a consequence. Discovering plasma markers that signify adverse cardiac remodeling may allow high-risk patients to be recognized earlier and may provide an improved way to assess treatment efficacy. Alterations in extracellular matrix (ECM) regulate cardiac remodeling following MI and potentially provide a large array of candidate indicators.

The field of cardiac proteomics has progressed rapidly over the past 20 years, since publication of the first two-dimensional electrophoretic gels of left ventricle proteins. Proteomic approaches are now routinely utilized to better understand how the left ventricle responds to injury.

In this review, we will discuss how methods have developed to allow comprehensive evaluation of the ECM proteome. We will explain how ECM proteomic data can be used to predict adverse remodeling for an individual patient and highlight future directions. Although this review will focus on the use of ECM proteomics to better understand post-MI remodeling responses, these approaches have applicability to a wide-range of cardiac pathologies, including pressure overload hypertrophy, viral myocarditis, and non-ischemic heart failure.

BIOINFORMATICS MEETS PROTEOMICS — BRIDGING THE GAP BETWEEN MASS SPECTROMETRY DATA ANALYSIS AND CELL BIOLOGY

Proteomics research programs typically comprise the identification of protein content of any given cell, their isoforms, splice variants, post-translational modifications, interacting partners and higher-order complexes under different conditions. These studies present significant analytical challenges owing to the high proteome complexity and the low abundance of the corresponding proteins, which often requires highly sensitive and resolving techniques. Mass spectrometry plays an important role in proteomics and has become an indispensable tool for molecular and cellular biology. However, the analysis of mass spectrometry data can be a daunting task in view of the complexity of the information to decipher, the accuracy and dynamic range of quantitative analysis, the availability of appropriate bioinformatics software and the overwhelming size of data files. The past ten years have witnessed significant technological advances in mass spectrometry-based proteomics and synergy with bioinformatics is vital to fulfill the expectations of biological discovery programs. We present here the technological capabilities of mass spectrometry and bioinformatics for mining the cellular proteome in the context of discovery programs aimed at trace-level protein identification and expression from microgram amounts of protein extracts from human tissues.

iTRAQ plus 18O: a new technique for target glycoprotein analysis

A novel strategy combining iTRAQ with (18)O stable isotope labeling (iTRAQ plus (18)O) was established to identify N-glycosylation site, quantify the glycopeptides and non-glycosylated peptides, and obtain N-glycosylation site ratio on the target glycoprotein. In this approach, all peptides of four biological samples are labeled with four iTRAQ reagents in parallel, followed by PNGase F catalyzed labeling of N-glycosylation sites with H(2)(16)O and H(2)(18)O. Two sample groups are labeled with H(2)(16)O and the other two are labeled with H(2)(18)O. After the modification of MS precursor ion isolation window, tagged peptides are identified by LC-MS/MS, both glycopeptides and non-glycopeptides are quantified simultaneously using ProteinPilot™ Software. With four samples to be maximally analyzed in parallel, this workflow supports accurate identification and quantification of glycopeptides in a site-specific fashion. Furthermore, N-glycosylation site ratios on serum haptoglobin (Hp) β chain in healthy individuals as well as patients with hepatitis B virus (HBV), liver cirrhosis (LC) and hepatocellular carcinoma (HCC) were quantified to validate the novel 'iTRAQ plus (18)O' method. Glycosite ratios of VVLHPN#YSQVDIGLIK were observed to change significantly in HCC patients compared with LC and HBV patients. This novel approach supports the screening of the target glycoproteins as biomarkers in clinical application.

Gel-based and gel-free quantitative proteomics approaches at a glance

Two-dimensional gel electrophoresis (2-DE) is widely applied and remains the method of choice in proteomics; however, pervasive 2-DE-related concerns undermine its prospects as a dominant separation technique in proteome research. Consequently, the state-of-the-art shotgun techniques are slowly taking over and utilising the rapid expansion and advancement of mass spectrometry (MS) to provide a new toolbox of gel-free quantitative techniques. When coupled to MS, the shotgun proteomic pipeline can fuel new routes in sensitive and high-throughput profiling of proteins, leading to a high accuracy in quantification. Although label-based approaches, either chemical or metabolic, gained popularity in quantitative proteomics because of the multiplexing capacity, these approaches are not without drawbacks. The burgeoning label-free methods are tag independent and suitable for all kinds of samples. The challenges in quantitative proteomics are more prominent in plants due to difficulties in protein extraction, some protein abundance in green tissue, and the absence of well-annotated and completed genome sequences. The goal of this perspective assay is to present the balance between the strengths and weaknesses of the available gel-based and -free methods and their application to plants. The latest trends in peptide fractionation amenable to MS analysis are as well discussed.

Quantification of protein deposits on silicone hydrogel materials using stable-isotopic labeling and multiple reaction monitoring

This study was designed to use multiple reaction monitoring (MRM) for accurate quantification of contact lens protein deposits. Worn lenses used with a multipurpose disinfecting solution were collected after wear. Individual contact lenses were extracted and then digested with trypsin. MRM in conjunction with stable-isotope-labeled peptide standards was used for protein quantification. The results show that lysozyme was the major protein detected from both lens types. The amount of protein extracted from contact lenses was affected by the lens material. Except for keratin-1 (0.83 ± 0.61 vs 0.77 ± 0.20, p = 0.81) or proline rich protein-4 (0.11 ± 0.04 vs 0.15 ± 0.12, p = 0.97), the amounts of lysozyme, lactoferrin, or lipocalin-1 extracted from balafilcon A lenses (12.9 ± 9.01, 0.84 ± 0.50 or 2.06 ± 1.6, respectively) were significantly higher than that extracted from senofilcon A lenses (0.88 ± 0.13, 0.50 ± 0.10 or 0.27 ± 0.23, respectively) (p < 0.05). The amount of protein extracted from contact lenses was dependent on both the individual wearer and the contact lens material. This may have implications for the development of clinical responses during lens wear for different people and with different types of contact lenses. The use of MRM-MS is a powerful analytical tool for the quantification of specific proteins from single contact lenses after wear.

Software tools for MS-based quantitative proteomics: a brief overview

Proteomics is turning more and more towards quantitative measurements of biological systems. This in turn has spurred the development of numerous experimental methods that enable such measurements. Vast quantities of mostly mass spectrometric data are often generated as a result which requires the use of software tools that turns raw data into useful quantitative information from which knowledge about the biological system can eventually be derived. This chapter gives a brief overview of available software tools for mass spectrometry based quantitative proteomics.

Application of subproteomics in the characterization of Gram-positive bacteria

Gram-positive bacteria cause a series of diseases in human, animals and plants. There has been increasing interest in efforts to investigate pathogenesis of bacteria using multiple "omic" strategies including proteomics. Proteins in different cell fractions of bacteria may play different vital roles in various physiological processes, such as adhesion, invasion, internalization, sensing, respiration, oxidative stress protection and pathogenicity. Subproteomics specifically focuses on the pre-fractionated cellular proteins and thus may be able to characterize more low-abundance molecules that are usually overlooked by the traditional whole-cell proteomics, providing comprehensive information for further investigations. This review intends to outline the current progress, challenges and future development of subproteomics in the characterization of Gram-positive bacteria. This article is part of a Special Issue entitled: Proteomics: The clinical link.

Adipokines: a treasure trove for the discovery of biomarkers for metabolic disorders

Adipose tissue is a major endocrine organ, releasing signaling and mediator proteins, termed adipokines, via which adipose tissue communicates with other organs. Expansion of adipose tissue in obesity alters adipokine secretion which may contribute to the development of metabolic diseases. Consequently, this correlation has emphasized the importance to further characterize the adipocyte secretion profile, and several attempts have been made to characterize the complex nature of the adipose tissue secretome by utilizing diverse proteomic profiling approaches. Although the entirety of human adipokines is still incompletely characterized, to date more than 600 potentially secretory proteins were identified providing a rich source to identify putative novel biomarkers associated with metabolic diseases.

Effects of docosahexaenoic acid on mouse brain synaptic plasma membrane proteome analyzed by mass spectrometry and (16)O/(18)O labeling

Docosahexenoic acid (DHA, 22:6n-3) plays an important role in development of proper brain function in mammals. We have previously reported that DHA promotes synaptogenesis and synaptic function in hippocampal neurons while DHA-depletion in the brain due to n-3 fatty acid deficiency produces opposite effects. To gain insight into underlying molecular mechanisms, we investigated whether the brain DHA status affects the synaptic plasma membrane (SPM) proteome by using nanoLC-ESI-MS/MS and (16)O/(18)O labeling. The DHA level in mouse brains was lowered by dietary depletion of n-3 fatty acids, and SPM was prepared by differential centrifugation followed by osmotic shock. SPM proteins from DHA-adequate and depleted brains were analyzed by nanoLC-ESI-MS/MS after SDS-PAGE, in-gel digestion, and differential O(18)/O(16) labeling. This strategy allowed comparative quantitation of more than 200 distinct membrane or membrane-associated proteins from DHA-adequate or depleted brains. We found that 18 pre- and postsynaptic proteins that are relevant to synaptic physiology were significantly down-regulated in DHA-depleted mouse brains. The protein network analysis suggests involvement of CREB and caspase-3 pathways in the DHA-dependent modulation of synaptic proteome. Reduction of specific synaptic proteins due to brain DHA-depletion may be an important mechanism for the suboptimal brain function associated with n-3 fatty acid deficiency.

Fragmentation and site-specific quantification of core fucosylated glycoprotein by multiple reaction monitoring-mass spectrometry

Glycosylation modifications of proteins have been attracting increasing attention due to their roles in the physiological and pathological processes of the cell. Core fucosylation (CF), one special type of glycan structure in glycoproteins, has been linked with tumorigenesis. The study of protein glycosylation has been hindered by the technical challenges caused by the microheterogeneity of glycan modifications. In commonly used methods, sugar chains on the peptide were released using endoglycosidase, and the glycan and peptides were analyzed separately with mass spectrometry. Although mass spectrometric analysis can be performed easily in this way, an increase in false positives when assigning glycosites was inevitable. Our earlier research demonstrated a strategy combining Endo F3-catalyzed partial deglycosylation with MS(3) (MS/MS/MS) scanning triggered by the neutral loss of a fucose to precisely identify CF proteins on a large scale. In this research, fragmentations of partially deglycosylated glycopeptides were studied using a triple quadrupole mass spectrometer, and a quantification method that coupled our published identification strategy with multiple reaction monitoring-mass spectrometry (MRM-MS) analysis was developed to obtain site-specific quantification information of core fucosylated peptides. To illustrate the feasibility of the quantification method, the CF peptides of target proteins in clinical serum were quantified and compared as a preliminary demonstration.

Viable Staphylococcus aureus quantitation using ¹⁵N metabolically labeled bacteriophage amplification coupled with a multiple reaction monitoring proteomic workflow

A multiple reaction monitoring liquid chromatography method with tandem mass spectrometric detection for quantitation of Staphylococcus aureus via phage amplification detection is described. This phage amplification detection method enables rapid and accurate quantitation of viable S. aureus by detecting an amplified capsid protein from a specific phage. A known amount of metabolically labeled (15)N reference bacteriophage, utilized as the input phage and as the internal standard for quantitation, was spiked into S. aureus samples. Following a 2-h incubation, the sample was subjected to a 3-min rapid trypsin digest and analyzed by high-throughput liquid chromatography tandem mass spectrometric detection targeting peptides unique to both the (15)N (input phage) and (14)N (progeny phage) capsid proteins. Quantitation was achieved by comparing peak areas of target peptides from the metabolically labeled (15)N bacteriophage peptide internal standard with that of the wild-type (14)N peptides that were produced by phage amplification and subsequent digestion when the host bacteria was present. This approach is based on the fact that a labeled species differs from the unlabeled one in terms of its mass but exhibits almost identical chemical properties such as ion yields and retention times. A 6-point calibration curve for S. aureus concentration was constructed with standards ranging from 5.0 × 10(4) colony forming units (CFU) ml(-1) to 2.0 × 10(6) CFU ml(-1), with the (15)N reference phage spiked at a concentration of 1.0 × 10(9) plaque forming units (PFU) ml(-1). Amplification with (15)N bacteriophage coupled with LC-MS/MS detection offers speed (3 h total analysis time), sensitivity (LOD: < 5.0 × 10(4) CFU ml(-1)), accuracy, and precision for quantitation of S. aureus.

Pitfalls in protein quantitation using acid-catalyzed O18 labeling: hydrolysis-driven deamidation

Proteolysis combined with O(18) labeling emerged recently as a powerful tool for quantitation of proteins for which suitable internal standards cannot be produced using molecular biology methods. Several recent reports suggested that acid-catalyzed O(18) labeling may be superior to the commonly accepted enzymatic protocol, as it may allow more significant spacing between the isotopic clusters of labeled and unlabeled peptides, thereby eliminating signal interference and enhancing the quality of quantitation. However, careful examination of this procedure reveals that the results of protein quantitation assisted by acid-catalyzed O(18) labeling are highly peptide-dependent. The inconsistency was found to be caused by deamidation of Asn, Gln, and carbamidomethylated Cys residues during prolonged exposure of the proteolytic fragments to the acidic environment of the labeling reaction, which translates into a loss in signal for these peptides. Taking deamidation into account leads to a significant improvement in the consistency of quantitation across a range of different proteolytic fragments.

Mass spectrometry-based approaches toward absolute quantitative proteomics

Mass spectrometry has served as a major tool for the discipline of proteomics to catalogue proteins in an unprecedented scale. With chemical and metabolic techniques for stable isotope labeling developed over the past decade, it is now routinely used as a method for relative quantification to provide valuable information on alteration of protein abundance in a proteome-wide scale. More recently, absolute or stoichiometric quantification of proteome is becoming feasible, in particular, with the development of strategies with isotope-labeled standards composed of concatenated peptides. On the other hand, remarkable progress has been also made in label-free quantification methods based on the number of identified peptides. Here we review these mass spectrometry-based approaches for absolute quantification of proteome and discuss their implications.

Advances in qualitative and quantitative plant membrane proteomics

The membrane proteome consists of integral and membrane-associated proteins that are involved in various physiological and biochemical functions critical for cellular function. It is also dynamic in nature, where many proteins are only expressed during certain developmental stages or in response to environmental stress. These proteins can undergo post-translational modifications in response to these different conditions, allowing them to transiently associate with the membrane or other membrane proteins. Along with their increased size, hydrophobicity, and the additional organelle and cellular features of plant cells relative to mammalian systems, the characterization of the plant membrane proteome presents unique challenges for effective qualitative and quantitative analysis using mass spectrometry (MS) analysis. Here, we present the latest advancements developed for the isolation and fractionation of plant organelles and their membrane components amenable to MS analysis. Separations of membrane proteins from these enriched preparations that have proven effective are discussed for both gel- and liquid chromatography-based MS analysis. In this context, quantitative membrane proteomic analyses using both isotope-coded and label-free approaches are presented and reveal the potential to establish a wider-biological interpretation of the function of plant membrane proteins that will ultimately lead to a more comprehensive understanding of plant physiology and their response mechanisms.

Bioinformatics Tools for Mass Spectrometry-Based High-Throughput Quantitative Proteomics Platforms

Determining global proteome changes is important for advancing a systems biology view of cellular processes and for discovering biomarkers. Liquid chromatography, coupled to mass spectrometry, has been widely used as a proteomics technique for discovering differentially expressed proteins in biological samples. However, although a large number of high-throughput studies have identified differentially regulated proteins, only a small fraction of these results have been reproduced and independently verified. The use of different approaches to data processing and analyses is among the factors which contribute to inconsistent conclusions. This perspective provides a comprehensive and critical overview of bioinformatics methods for commonly used mass spectrometry-based quantitative proteomics, employing both stable isotope labeling and label-free approaches. We evaluate the challenges associated with current quantitative proteomics techniques, placing particular emphasis on data analyses. The complexity of processing and interpreting proteomics datasets has become a central issue as sensitivity, mass resolution, mass accuracy and throughput of mass spectrometers have improved. A number of computer programs are available to address these challenges, and are reviewed here. We focus on approaches for signal processing, noise reduction, and methods for protein abundance estimation.

Relative and accurate measurement of protein abundance using 15N stable isotope labeling in Arabidopsis (SILIA)

In the quantitative proteomic studies, numerous in vitro and in vivo peptide labeling strategies have been successfully applied to measure differentially regulated protein and peptide abundance. These approaches have been proven to be versatile and repeatable in biological discoveries. (15)N metabolic labeling is one of these widely adopted and economical methods. However, due to the differential incorporation rates of (15)N or (14)N, the labeling results produce imperfectly matched isotopic envelopes between the heavy and light nitrogen-labeled peptides. In the present study, we have modified the solid Arabidopsis growth medium to standardize the (15)N supply, which led to a uniform incorporation of (15)N into the whole plant protein complement. The incorporation rate (97.43±0.11%) of (15)N into (15)N-coded peptides was determined by correlating the intensities of peptide ions with the labeling efficiencies according to Gaussian distribution. The resulting actual incorporation rate (97.44%) and natural abundance of (15)N/(14)N-coded peptides are used to re-calculate the intensities of isotopic envelopes of differentially labeled peptides, respectively. A modified (15)N/(14)N stable isotope labeling strategy, SILIA, is assessed and the results demonstrate that this approach is able to differentiate the fold change in protein abundance down to 10%. The machine dynamic range limitation and purification step will make the precursor ion ratio deriving from the actual ratio fold change. It is suggested that the differentially mixed (15)N-coded and (14)N-coded plant protein samples that are used to establish the protein abundance standard curve should be prepared following a similar protein isolation protocol used to isolate the proteins to be quantitated.

Quantitative proteomic analyses of crop seedlings subjected to stress conditions; a commentary

Quantitative proteomics is one of the analytical approaches used to clarify crop responses to stress conditions. Recent remarkable advances in proteomics technologies allow for the identification of a wider range of proteins than was previously possible. Current proteomic methods fall into roughly two categories: gel-based quantification methods, including conventional two-dimensional gel electrophoresis and two-dimensional fluorescence difference gel electrophoresis, and MS-based quantification methods consists of label-based and label-free protein quantification approaches. Although MS-based quantification methods have become mainstream in recent years, gel-based quantification methods are still useful for proteomic analyses. Previous studies examining crop responses to stress conditions reveal that each method has both advantages and disadvantages in regard to protein quantification in comparative proteomic analyses. Furthermore, one proteomics approach cannot be fully substituted by another technique. In this review, we discuss and highlight the basis and applications of quantitative proteomic analysis approaches in crop seedlings in response to flooding and osmotic stress as two environmental stresses.

Reaction of cresyl saligenin phosphate, the organophosphorus agent implicated in aerotoxic syndrome, with human cholinesterases: mechanistic studies employing kinetics, mass spectrometry, and X-ray structure analysis

Aerotoxic syndrome is assumed to be caused by exposure to tricresyl phosphate (TCP), an antiwear additive in jet engine lubricants and hydraulic fluid. CBDP (2-(ortho-cresyl)-4H-1,2,3-benzodioxaphosphoran-2-one) is the toxic metabolite of triortho-cresylphosphate, a component of TCP. Human butyrylcholinesterase (BChE; EC 3.1.1.8) and human acetylcholinesterase (AChE; EC 3.1.1.7) are irreversibly inhibited by CBDP. The bimolecular rate constants of inhibition (k(i)), determined under pseudo-first-order conditions, displayed a biphasic time course of inhibition with k(i) of 1.6 × 10(8) M(-1) min(-1) and 2.7 × 10(7) M(-1) min(-1) for E and E' forms of BChE. The inhibition constants for AChE were 1 to 2 orders of magnitude slower than those for BChE. CBDP-phosphorylated cholinesterases are nonreactivatable due to ultra fast aging. Mass spectrometry analysis showed an initial BChE adduct with an added mass of 170 Da from cresylphosphate, followed by dealkylation to a structure with an added mass of 80 Da. Mass spectrometry in (18)O-water showed that (18)O was incorporated only during the final aging step to form phospho-serine as the final aged BChE adduct. The crystal structure of CBDP-inhibited BChE confirmed that the phosphate adduct is the ultimate aging product. CBDP is the first organophosphorus agent that leads to a fully dealkylated phospho-serine BChE adduct.

Nutriproteomics: technologies and applications for identification and quantification of biomarkers and ingredients

Nutrition refers to the process by which a living organism ingests and digests food and uses the nutrients therein for growth, tissue maintenance and all other functions essential to life. Food components interact with our body at molecular, cellular, organ and system level. Nutrients come in complex mixtures, in which the presence and concentration of single compounds as well as their interactions with other compounds and the food matrix influence their bioavailability and bioefficacy. Traditionally, nutrition research mainly concentrated on supplying nutrients of quality to nourish populations and on preventing specific nutrient deficiencies. More recently, it investigates health-related aspects of individual ingredients or of complete diets, in view of health promotion, performance optimisation, disease prevention and risk assessment. This review focuses on proteins and peptides, their role as nutrients and biomarkers and on the technologies developed for their analysis. In the first part of this review, we provide insights into the way proteins are currently characterised and analysed using classical and emerging proteomic approaches. The scope of the second part is to review major applications of proteomics to nutrition, from characterisation of food proteins and peptides, via investigation of health-related food benefits to understanding disease-related mechanisms.

State of the art in tumor antigen and biomarker discovery

Our knowledge of tumor immunology has resulted in multiple approaches for the treatment of cancer. However, a gap between research of new tumors markers and development of immunotherapy has been established and very few markers exist that can be used for treatment. The challenge is now to discover new targets for active and passive immunotherapy. This review aims at describing recent advances in biomarkers and tumor antigen discovery in terms of antigen nature and localization, and is highlighting the most recent approaches used for their discovery including “omics” technology.

Endoglycosidase-mediated incorporation of 18O into glycans for relative glycan quantitation

Stable isotopic labeling coupled with mass spectrometry analysis is a promising method of detecting quantitative variations in glycans, which may result in aberrant glycosylation in many disorders and diseases. Although various isotopic labeling methods have been used for relative glycan quantitation, enzymatic (18)O labeling, which offers advantages for glycomics similar to those by protease-catalyzed (18)O labeling for proteomics, has not been developed yet. In this study, endoglycosidase incorporated (18)O into the N-glycan reducing end in (18)O-water as N-glycans were released from glycoproteins, rendering glycan reducing-end (18)O labeling (GREOL) a potential strategy for relative glycan quantitation. This proposed method provided good linearity with high reproducibility within 2 orders of magnitude in dynamic range. The ability of GREOL to quantitatively discriminate between isomeric hybrid N-glycans and complex N-glycans in glycoproteins was validated due to the distinct substrate specificities of endoglycosidases. GREOL was also used to analyze changes in human serum N-glycans associated with hepatocellular carcinoma.

Characterization and quantification of RNA post-transcriptional modifications using stable isotope labeling of RNA in conjunction with mass spectrometry analysis

Mass spectrometry has emerged as an increasingly powerful tool for the identification and characterization of nucleic acids, in particular RNA post-transcriptional modifications. High mass accuracy instrumentation is often required to discriminate between compositional isomers of oligonucleotides. We have used stable isotope labeling ((15)N) of E. coli RNA in conjunction with mass spectrometry analysis of the combined heavy- and light-labeled RNA for the identification and quantification of oligoribonucleotides and post-transcriptional modifications. The number of nitrogen atoms in the oligoribonucleotide and fragment ions can readily be determined using this approach, enabling the discrimination between potential compositional isomers without the requirement of high mass accuracy mass spectrometers. In addition, the identification of specific fragment ions in both the unlabeled and labeled oligoribonucleotides can be used to gain further confidence in the assignment of RNA post-transcriptional modifications. Using this approach we have identified a range of post-transcriptional modifications of E. coli 16S rRNA. Furthermore, this method facilitates the rapid and accurate quantification of oligoribonucleotides, including cyclic phosphate intermediates and missed cleavages often generated from RNase digestions.

Quantitative evaluation of refolding conditions for a disulfide-bond-containing protein using a concise ¹⁸O-labeling technique

A concise method was developed for quantifying native disulfide-bond formation in proteins using isotopically labeled internal standards, which were easily prepared with proteolytic ¹⁸O-labeling. As the method has much higher throughput to estimate the amounts of fragments possessing native disulfide arrangements by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) than the conventional high performance liquid chromatography (HPLC) analyses, it allows many different experimental conditions to be assessed in a short time. The method was applied to refolding experiments of a recombinant neuregulin 1-β1 EGF-like motif (NRG1-β1), and the optimum conditions for preparing native NRG1-β1 were obtained by quantitative comparisons. Protein disulfide isomerase (PDI) was most effective at the reduced/oxidized glutathione ratio of 2:1 for refolding the denatured sample NRG1-β1 with the native disulfide bonds.

Direct comparison of stable isotope labeling by amino acids in cell culture and spectral counting for quantitative proteomics

Numerous experimental strategies exist for relative protein quantification, one of the primary objectives of mass spectrometry based proteomics analysis. These strategies mostly involve the incorporation of a stable isotope label via either metabolic incorporation in cell or tissue culture (¹⁵N/¹⁴N metabolic labeling, stable isotope labeling by amino acids in cell culture (SILAC)), chemical derivatization (ICAT, iTRAQ, TMT), or enzymatically catalyzed incorporation (¹⁸O labeling). Also, these techniques can be cost or time prohibitive or not amenable to the biological system of interest (i.e., metabolic labeling of clinical samples, most animals, or fungi). This is the case with the quantification of fungal proteomes, which often require auxotroph mutants to fully metabolically label. Alternatively, label-free strategies for protein quantification such as using integrated ion abundance and spectral counting have been demonstrated for quantification affording over 2 orders of magnitude of dynamic range which is comparable to metabolic labeling strategies. Direct comparisons of these quantitative techniques are largely lacking in the literature but are highly warranted in order to evaluate the capabilities, limitations, and analytical variability of available quantitative strategies. Here, we present the direct comparison of SILAC to label-free quantification by spectral counting of an identical set of data from the bottom-up proteomic analysis of human embryonic stem cells, which are readily able to be quantified using both strategies, finding that both strategies result in a similar number of protein identifications. We also discuss necessary constraints for accurate quantification using spectral counting and assess the potential of this label-free strategy as a viable alternative for quantitative proteomics.

Microwave assisted acid cleavage for denaturation and proteolysis of intact human adenovirus

Microwave assisted acid cleavage was applied directly to intact adenovirus type 5 to achieve denaturation and proteolysis in a single reaction. The speed of the digestion, coupled with the simplicity of MALDI analysis, allowed peptide products to be profiled in less than 5 min. Identification of peptides from a range of proteins by MALDI-TOF confirms that both denaturation and proteolysis were achieved using low concentrations of acetic acid (12.5%) and short incubations (1.5 to 2 min) at high temperatures (140° C). These conditions favor production of peptides that carry Asp on their C-termini. When this cleavage reaction is carried out in highly enriched H(2) (18)O, a single atom of (18)O is introduced site-specifically into the carboxyl terminal. The labeling reaction is applied to label reporter peptides from human adenovirus type 5 harvested from HeLa cells. Small peptide products of endogenous processing were also observed.

Phosphatidylserine is a critical modulator for Akt activation

Akt activation relies on the binding of Akt to phosphatidylinositol-3,4,5-trisphosphate (PIP(3)) in the membrane. Here, we demonstrate that Akt activation requires not only PIP(3) but also membrane phosphatidylserine (PS). The extent of insulin-like growth factor-induced Akt activation and downstream signaling as well as cell survival under serum starvation conditions positively correlates with plasma membrane PS levels in living cells. PS promotes Akt-PIP(3) binding, participates in PIP(3)-induced Akt interdomain conformational changes for T308 phosphorylation, and causes an open conformation that allows for S473 phosphorylation by mTORC2. PS interacts with specific residues in the pleckstrin homology (PH) and regulatory (RD) domains of Akt. Disruption of PS-Akt interaction by mutation impairs Akt signaling and increases susceptibility to cell death. These data identify a critical function of PS for Akt activation and cell survival, particularly in conditions with limited PIP(3) availability. The novel molecular interaction mechanism for Akt activation suggests potential new targets for controlling Akt-dependent cell survival and proliferation.