Combined enzymatic and data mining approaches for comprehensive phosphoproteome analyses: application to cell signaling events of interferon-gamma-stimulated macrophages

Protein phosphorylation is a central cell signaling event that underlies a broad spectrum of key physiological processes. Advances in affinity chromatography and mass spectrometry are now providing the ability to identify and quantitate thousands of phosphorylation sites simultaneously. Comprehensive phosphoproteome analyses present sizable analytical challenges in view of suppression effects of phosphopeptides and the variable quality of MS/MS spectra. This work presents an integrated enzymatic and data mining approach enabling the comprehensive detection of native and putative phosphopeptides following alkaline phosphatase digestion of titanium dioxide (TiO2)-enriched cell extracts. The correlation of retention times of more than 750 phospho- and dephosphopeptide pairs from J774 macrophage cell extracts indicated that removal of the phosphate groups can impart a gain or a loss in hydrophobicity that is partly explained by the formation of a salt bridge with proximal amino groups. Dephosphorylation also led to an average 2-fold increase in MS sensitivity that facilitated peptide sequencing. More importantly, alkaline phosphatase digestion enhanced the overall population of putative phosphopeptides from TiO2-enriched cell extracts providing a unique approach to profile multiphosphorylated cognates that would have remained otherwise undetected. The application of this approach is demonstrated for differential phosphoproteome analyses of mouse macrophages exposed to interferon-gamma for 5 min. TiO2 enrichment enabled the identification of 1143 phosphopeptides from 432 different proteins of which 125 phosphopeptides showed a 2-fold change upon interferon-gamma exposure. The use of alkaline phosphatase nearly doubled the number of putative phosphopeptides assignments leading to the observation of key interferon-gamma signaling events involved in vesicle trafficking, production of reactive oxygen species, and mRNA translation.     

Mitochondrial phosphoproteome revealed by an improved IMAC method and MS/MS/MS

IMAC in combination with mass spectrometry is a promising approach for global analysis of protein phosphorylation. Nevertheless this approach suffers from two shortcomings: inadequate efficiency of IMAC and poor fragmentation of phosphopeptides in the mass spectrometer. Here we report optimization of the IMAC procedure using (32)P-labeled tryptic peptides and development of MS/MS/MS (MS3) for identifying phosphopeptide sequences and phosphorylation sites. The improved IMAC method allowed recovery of phosphorylated tryptic peptides up to approximately 77% with only minor retention of unphosphorylated peptides. MS3 led to efficient fragmentation of the peptide backbone in phosphopeptides for sequence assignment. Proteomics of mitochondrial phosphoproteins using the resulting IMAC protocol and MS3 revealed 84 phosphorylation sites in 62 proteins, most of which have not been reported before. These results revealed diverse phosphorylation pathways involved in the regulation of mitochondrial functions. Integration of the optimized batchwise IMAC protocol with MS3 offers a relatively simple and more efficient approach for proteomics of protein phosphorylation.     

Global profiling of phosphopeptides by titania affinity enrichment

Protein phosphorylation is a ubiquitous post-translational modification critical to many cellular processes. Large-scale unbiased characterization of phosphorylation status remains a major technical challenge in proteomics. In the present work, we evaluate and optimize titania-based affinity enrichment for global profiling of phosphopeptides from complex biological mixtures. We demonstrate that inclusion of glutamic acid in the sample loading buffer substantially reduced nonspecific binding of nonphosphorylated peptides to the titania while retaining the high binding affinity for phosphopeptides. The reduction in nonspecific peptide binding enhanced overall phosphopeptide recovery, ranging from 22 to 85%, and led to substantial improvement in large-scale global profiling. In addition, we observed that the overall identification of phosphopeptides was significantly enhanced by neutral loss-triggered MS (3) scans and respective use of multiple charge- and mass-dependent filtering criteria for MS (2) and MS (3) spectra. In conjunction with strong-cation exchange chromatography (SCX) for prefractionation, a total of 4002 distinct phosphopeptides were identified from SKBr3 breast cancer cells at false-positive rates of 3.7% and 5.5%, respectively, for singly and doubly phosphorylated peptides.     

MALDI‐TOF and nESI Orbitrap MS/MS identify orthogonal parts of the phosphoproteome

Phosphorylation is a reversible posttranslational protein modification which plays a pivotal role in intracellular signaling. Despite extensive efforts, phosphorylation site mapping of proteomes is still incomplete motivating the exploration of alternative methods that complement existing workflows. In this study, we compared tandem mass spectrometry (MS/MS) on matrix assisted laser desorption/ionization time‐of‐flight (MALDI‐TOF) and nano‐electrospray ionization (nESI) Orbitrap instruments with respect to their ability to identify phosphopeptides from complex proteome digests. Phosphopeptides were enriched from tryptic digests of cell lines using Fe‐IMAC column chromatography and subjected to LC‐MS/MS analysis. We found that the two analytical workflows exhibited considerable orthogonality. For instance, MALDI‐TOF MS/MS favored the identification of phosphopeptides encompassing clear motif signatures for acidic residue directed kinases. The extent of orthogonality of the two LC‐MS/MS systems was comparable to that of using alternative proteases such as Asp‐N, Arg‐C, chymotrypsin, Glu‐C and Lys‐C on just one LC‐MS/MS instrument. Notably, MALDI‐TOF MS/MS identified an unexpectedly high number and percentage of phosphotyrosine sites (～20% of all sites), possibly as a direct consequence of more efficient ionization. The data clearly show that LC‐MALDI MS/MS can be a useful complement to LC‐nESI MS/MS for phosphoproteome mapping and particularly so for acidic and phosphotyrosine containing peptides.     

Comparison of ERLIC-TiO2, HILIC-TiO2, and SCX-TiO2 for global phosphoproteomics approaches

Reversible phosphorylations play a critical role in most biological pathways. Hence, in signaling studies great effort has been put into identification of a maximum number of phosphosites per experiment. Mass spectrometry (MS)-based phosphoproteomics approaches have been proven to be an ideal analytical method for mapping of phosphosites. However, because of sample complexity, fractionation of phosphopeptides prior to MS analysis is a crucial step. In the current study, we compare the chromatographic strategies electrostatic repulsion-hydrophilic interaction chromatography (ERLIC), hydrophilic interaction liquid chromatography (HILIC), and strong cation exchange chromatography (SCX) for their fractionation behavior of phosphopeptides. In addition, we investigate the use of repetitive TiO(2)-based enrichment steps for a maximum identification of phosphopeptides. On the basis of our results, SCX yields the highest number of identified phosphopeptides, whereas ERLIC is optimal for the identification of multiphosphorylated peptides. Consecutive incubations of fractions and flow-through by TiO(2) beads enrich qualitatively different sets of phosphopeptides, increasing the number of identified phosphopeptides per analysis.     

Automatic validation of phosphopeptide identifications by the MS2/MS3 target-decoy search strategy

Manual checking is commonly employed to validate the phosphopeptide identifications from database searching of tandem mass spectra. It is very time-consuming and labor intensive as the number of phosphopeptide identifications increases greatly. In this study, a simple automatic validation approach was developed for phosphopeptide identification by combining consecutive stage mass spectrometry data and the target-decoy database searching strategy. Only phosphopeptides identified from both MS2 and its corresponding MS3 were accepted for further filtering, which greatly improved the reliability in phosphopeptide identification. Before database searching, the spectra were validated for charge state and neutral loss peak intensity, and then the invalid MS2/MS3 spectra were removed, which greatly reduced the database searching time. It was found that the sensitivity was significantly improved in MS2/MS3 strategy as the number of identified phosphopeptides was 2.5 times that obtained by the conventional filter-based MS2 approach. Because of the use of the target-decoy database, the false-discovery rate (FDR) of the identified phosphopeptides could be easily determined, and it was demonstrated that the determined FDR can precisely reflect the actual FDR without any manual validation stage.     

Automated,Reproducible, Titania-Based Phosphopeptide Enrichment Strategy for Label-Free Quantitative Phosphoproteomics

An automated phosphopeptide enrichment strategy is described using titanium dioxide (TiO₂)-packed, fused silica capillaries for use with liquid chromatography (LC)-mass spectrometry (MS)/MS-based, label-free proteomics workflows. To correlate an optimum peptide:TiO₂ loading ratio between different particle types, the ratio of phenyl phosphate-binding capacities was used. The optimum loading for the column was then verified through replicate enrichments of a range of quantities of digested rat brain tissue cell lysate. Fractions were taken during sample loading, multiple wash steps, and the elution steps and analyzed by LC-MS/MS to gauge the efficiency and reproducibility of the enrichment. Greater than 96% of the total phosphopeptides were detected in the elution fractions, indicating efficient trapping of the phosphopeptides on the first pass of enrichment. The quantitative reproducibility of the automated setup was also improved greatly with phosphopeptide intensities from replicate enrichments exhibiting a median coefficient of variation (CV) of 5.8%, and 80% of the identified phosphopeptides had CVs below 11.1%, while maintaining >85% specificity. By providing this high degree of analytical reproducibility, this method allows for label-free phosphoproteomics over large sample sets with complex experimental designs (multiple biological conditions, multiple biological replicates, multiple time-points, etc.), including large-scale clinical cohorts.     

Shotgun proteomics of the haloarchaeon Haloferax volcanii

Haloferax volcanii, an extreme halophile originally isolated from the Dead Sea, is used worldwide as a model organism for furthering our understanding of archaeal cell physiology. In this study, a combination of approaches was used to identify a total of 1296 proteins, representing 32% of the theoretical proteome of this haloarchaeon. This included separation of (phospho)proteins/peptides by 2-dimensional gel electrophoresis (2-D), immobilized metal affinity chromatography (IMAC), metal oxide affinity chromatography (MOAC), and Multidimensional Protein Identification Technology (MudPIT) including strong cation exchange (SCX) chromatography coupled with reversed phase (RP) HPLC. Proteins were identified by tandem mass spectrometry (MS/MS) using nanoelectrospray ionization hybrid quadrupole time-of-flight (QSTAR XL Hybrid LC/MS/MS System) and quadrupole ion trap (Thermo LCQ Deca). Results indicate that a SCX RP HPLC fractionation coupled with MS/MS provides the best high-throughput workflow for overall protein identification.     

Comprehensive identification of phosphorylation sites in postsynaptic density preparations

In the mammalian central nervous system, the structure known as the postsynaptic density (PSD) is a dense complex of proteins whose function is to detect and respond to neurotransmitter released from presynaptic axon terminals. Regulation of protein phosphorylation in this molecular machinery is critical to the activity of its components, which include neurotransmitter receptors, kinases/phosphatases, scaffolding molecules, and proteins regulating cytoskeletal structure. To characterize the phosphorylation state of proteins in PSD samples, we combined strong cation exchange (SCX) chromatography with IMAC. Initially, tryptic peptides were separated by cation exchange and analyzed by reverse phase chromatography coupled to tandem mass spectrometry, which led to the identification of phosphopeptides in most SCX fractions. Because each of these individual fractions was too complex to characterize completely in single LC-MS/MS runs, we enriched for phosphopeptides by performing IMAC on each SCX fraction, yielding at least a 3-fold increase in identified phosphopeptides relative to either approach alone (SCX or IMAC). This enabled us to identify at least one site of phosphorylation on 23% (287 of 1,264) of all proteins found to be present in the postsynaptic density preparation. In total, we identified 998 unique phosphorylated peptides, mapping to 723 unique sites of phosphorylation. At least one exact site of phosphorylation was determined on 62% (621 of 998) of all phosphopeptides, and approximately 80% of identified phosphorylation sites are novel.     

磷酸化蛋白质组研究中的富集策略

蛋白质的磷酸化与去磷酸化过程,调控着包括信号转换、基因表达、细胞周期等诸多细胞过程。因此,对蛋白质磷酸化修饰的分析是蛋白质组研究中的重要内容。但由于磷酸化蛋白的丰度较低,难以用质谱直接检测。为了解决这个问题,改善质谱对磷酸肽的信号响应,需要对磷酸化蛋白质或磷酸肽进行富集。目前主要的富集方法包括免疫沉淀、固相金属离子亲和色谱、金属氧化物/氢氧化物亲和色谱等。     

磷蛋白组的研究技术及其进展

真核细胞中蛋白质磷酸化是一个重要事件。真核细胞利用可逆的蛋白磷酸化来控制许多细胞过程包括信号转换、基因表达、细胞周期等。磷蛋白组的研究涉及磷蛋白的分离和鉴定 ,磷酸化残基定位和定量分析。由于蛋白质磷酸化是一个动态过程 ,在细胞中磷蛋白含量低 ,磷酸化位点可变 ,且磷酸肽的质谱信号常常会受到抑制 ,所以磷蛋白的分析存在更多的困难。本文介绍了国内外在磷酸蛋白的分离鉴定及定量分析方面的研究技术以及进展情况。目前 ,质谱仍然是核心的鉴定技术 ,寻找更好富集方法是最大的挑战。定量蛋白组学是对蛋白质的差异表达进行精确的定量分析。目前还不存在一种独立的方法可以完成磷蛋白的分离、鉴定 ,以及磷酸位点的定位和定量分析。随着样品分离技术和相关仪器的发展 ,磷酸蛋白快速、准确、全面分析鉴定将能够实现。     

Integrating titania enrichment,iTRAQ labeling,and Orbitrap CID‐HCD for global identification and quantitative analysis of phosphopeptides

Recent advances in MS instrumentation and progresses in phosphopeptide enrichment, in conjunction with more powerful data analysis tools, have facilitated unbiased characterization of thousands of site‐specific phosphorylation events. Combined with stable isotope labeling by amino acids in cell culture metabolic labeling, these techniques have made it possible to quantitatively evaluate phosphorylation changes in various physiological states in stable cell lines. However, quantitative phosphoproteomics in primary cells and tissues remains a major technical challenge due to the lack of adequate techniques for accurate quantification. Here, we describe an integrated strategy allowing for large scale quantitative profiling of phosphopeptides in complex biological mixtures. In this technique, the mixture of proteolytic peptides was subjected to phosphopeptide enrichment using a titania affinity column, and the purified phosphopeptides were subsequently labeled with iTRAQ reagents. After further fractionation by strong‐cation exchange, the peptides were analyzed by LC‐MS/MS on an Orbitrap mass spectrometer, which collects CID and high‐energy collisional dissociation (HCD) spectra sequentially for peptide identification and quantitation. We demonstrate that direct phosphopeptide enrichment of protein digests by titania affinity chromatography substantially improves the efficiency and reproducibility of phosphopeptide proteomic analysis and is compatible with downstream iTRAQ labeling. Conditions were optimized for HCD normalized collision energy to balance the overall peptide identification and quantitation using the relative abundances of iTRAQ reporter ions. Using this approach, we were able to identify 3557 distinct phosphopeptides from HeLa cell lysates, of which 2709 were also quantified from HCD scans.     

Enrichment of phosphopeptides by Fe3+-immobilized magnetic nanoparticles for phosphoproteome analysis of the plasma membrane of mouse liver

Immobilized metal ion affinity chromatography (IMAC) is a commonly used technique for phosphoprotein analysis due to its specific affinity for phosphopeptides. In this study, Fe3+-immobilized magnetic nanoparticles (Fe3+-IMAN) with an average diameter of 15 nm were synthesized and applied to enrich phosphopeptides. Compared with commercial microscale IMAC beads, Fe3+-IMAN has a larger surface area and better dispersibility in buffer solutions which improved the specific interaction with phosphopeptides. Using tryptic digests of the phosphoprotein alpha-casein as a model sample, the number and signal-to-noise ratios of the phosphopeptides identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOFMS) following Fe3+-IMAN enrichment greatly increased relative to results obtained with direct MALDI-TOFMS analysis. The lowest detectable concentration is 5 x 10(-11) M for 100 microL of pure standard phosphopeptide (FLTEpYVATR) following Fe3+-IMAN enrichment. We presented a phosphopeptide enrichment scheme using simple Fe3+-IMAN and also a combined approach of strong cation exchange chromatography and Fe3+-IMAN for phosphoproteome analysis of the plasma membrane of mouse liver. In total, 217 unique phosphorylation sites corresponding to 158 phosphoproteins were identified by nano-LC-MS/MS. This efficient approach will be very useful in large-scale phosphoproteome analysis.     

Unbiased Selective Isolation of Protein N-terminal Peptides from Complex Proteome Samples Using Phospho Tagging (PTAG) and TiO2-based Depletion

A positional proteomics strategy for global N-proteome analysis is presented based on phospho tagging (PTAG) of internal peptides followed by depletion by titanium dioxide (TiO(2)) affinity chromatography. Therefore, N-terminal and lysine amino groups are initially completely dimethylated with formaldehyde at the protein level, after which the proteins are digested and the newly formed internal peptides modified with the PTAG reagent glyceraldhyde-3-phosphate in nearly perfect yields (> 99%). The resulting phosphopeptides are depleted through binding onto TiO(2), keeping exclusively a set of N-acetylated and/or N-dimethylated terminal peptides for analysis by liquid chromatography-tandem MS. Analysis of peptides derivatized with differentially labeled isotopic analogs of the PTAG reagent revealed a high depletion efficiency (> 95%). The method enabled identification of 753 unique N-terminal peptides (428 proteins) in N. meningitidis and 928 unique N-terminal peptides (572 proteins) in S. cerevisiae. These included verified neo-N termini from subcellular-relocalized membrane and mitochondrial proteins. The presented PTAG approach is therefore a novel, versatile, and robust method for mass spectrometry-based N-proteome analysis and identification of protease-generated cleavage products.     

QIKS – Quantitative identification of kinase substrates

Signaling networks regulate cellular responses to external stimuli through post‐translational modifications such as protein phosphorylation. Phosphoproteomics facilitate the large‐scale identification of kinase substrates. Yet, the characterization of critical connections within these networks and the identification of respective kinases remain the major analytical challenge. To address this problem, we present a novel approach for the identification of direct kinase substrates using chemical genetics in combination with quantitative phosphoproteomics. Quantitative identification of kinase substrates (QIKS) is a novel‐screening platform developed for the proteome‐wide substrate‐analysis of specific kinases. Here, we aimed to identify substrates of mitogen‐activated protein kinase/Erk kinase (Mek1), an essential kinase in the mitogen‐activated protein kinase cascade. An ATP analog‐sensitive mutant of Mek1 (Mek1‐as) was incubated with a cell extract from Mek1 deficient cells. Phosphorylated proteins were analyzed by LC‐MS/MS of IMAC‐enriched phosphopeptides, labeled differentially for relative quantification. The identification of extracellular regulated kinase 1/2 as the sole cytoplasmic substrates of MEK1 validates the applicability of this approach and suggests that QIKS could be used to identify substrates of a wide variety of kinases.     

Integrated data management and validation platform for phosphorylated tandem mass spectrometry data

MS/MS is a widely used method for proteome‐wide analysis of protein expression and PTMs. The thousands of MS/MS spectra produced from a single experiment pose a major challenge for downstream analysis. Standard programs, such as MASCOT, provide peptide assignments for many of the spectra, including identification of PTM sites, but these results are plagued by false‐positive identifications. In phosphoproteomic experiments, only a single peptide assignment is typically available to support identification of each phosphorylation site, and hence minimizing false positives is critical. Thus, tedious manual validation is often required to increase confidence in the spectral assignments. We have developed phoMSVal, an open‐source platform for managing MS/MS data and automatically validating identified phosphopeptides. We tested five classification algorithms with 17 extracted features to separate correct peptide assignments from incorrect ones using over 2600 manually curated spectra. The naïve Bayes algorithm was among the best classifiers with an AUC value of 97% and PPV of 97% for phosphotyrosine data. This classifier required only three features to achieve a 76% decrease in false positives as compared with MASCOT while retaining 97% of true positives. This algorithm was able to classify an independent phosphoserine/threonine data set with AUC value of 93% and PPV of 91%, demonstrating the applicability of this method for all types of phospho‐MS/MS data. PhoMSVal is available at http://csbi.ltdk.helsinki.fi/phomsval .     

Strategies for the identification of arginine ADP-ribosylation sites

Mono-ADP-ribosylation of arginine is a protein modification in eukaryotic cells regulating protein activity and thereby influencing signal transduction and metabolism. Due to the complexity of the modification and the fragmentation pattern in MS/MS CID experiments, the identification of ADP-ribosylation sites in complex mixtures is difficult. Here we describe a two-step strategy, in the first step enriching and identifying potentially ADP-ribosylated proteins and in the second step identifying the sites of modification by a combination of LC/MS-, LC/MS(E) (MS at elevated fragmentation energy)- and LC/MS/MS experiments. Using this technique we could identify two ADP-ribosylation sites in TNFα digested with trypsin, protease V8 and both proteases and thereby demonstrate the specific ADP-ribosylation of TNFα. In complex samples the detection of ADP-ribosylated peptides requires further enrichment of the modified peptides. We tested various materials routinely used for the isolation of phosphopeptides. IMAC as well as TiO(2) chromatography were successfully applied for the selective enrichment of ADP-ribosylated model peptides.     

Application of different fragmentation techniques for the analysis of phosphopeptides using a hybrid linear ion trap-FTICR mass spectrometer

Electron capture dissociation (ECD) and infrared multiphoton dissociation (IRMPD) present complementary techniques for the fragmentation of peptides and proteins in Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) in addition to the commonly used collisionally activated dissociation (CAD). Both IRMPD and ECD have been shown to be applicable for an efficient sequencing of peptides and proteins, whereas ECD has proven especially valuable for mapping labile posttranslational modifications (PTMs), such as phosphorylations. In this work, we compare the different fragmentation techniques and MS detection in a linear ion trap and the ICR cell with respect to their abilities to efficiently identify and characterize phosphorylated peptides. For optimizing fragmentation parameters, sets of synthetic peptides with molecular weights ranging from approximately 1 to 4 kDa and different levels of phosphorylation were analyzed. The influence of spectrum averaging for obtaining high-quality spectra was investigated. Our results show that the fragmentation methods CAD and ECD allow for a facilitated analysis of phosphopeptides; however, their general applicability for analyzing phosphopeptides has to be evaluated in each specific case with respect to the given analytical task. The major advantage of complementary peptide cleavages by combining different fragmentation methods is the increased amount of information that is obtained during MS/MS analysis of modified peptides. On the basis of the obtained results, we are planning to design LC time-scale compatible, data-dependent MS/MS methods using the different fragmentation techniques in order to improve the identification and characterization of phosphopeptides.     

Novel Fe3O4@TiO2 core-shell microspheres for selective enrichment of phosphopeptides in phosphoproteome analysis

Due to the dynamic nature and low stoichiometry of protein phosphorylation, enrichment of phosphorylated peptides from proteolytic mixtures is often necessary prior to their characterization by mass spectrometry. Immobilized metal affinity chromatography (IMAC) is a popular way to enrich phosphopeptides; however, conventional IMAC lacks enough specificity for efficient phosphoproteome analysis. In this study, novel Fe 3O 4@TiO 2 microspheres with well-defined core-shell structure were prepared and developed for highly specific purification of phosphopeptides from complex peptide mixtures. The enrichment conditions were optimized using tryptic digests of beta-casein, and the high specificity of the Fe 3O 4@TiO 2 core-shell microspheres was demonstrated by effectively enriching phosphopeptides from the digest mixture of alpha-casein and beta-casein, as well as a five-protein mixture containing nonphosphoproteins (bovine serum albumin (BSA), myoglobin, cytochrome c) and phosphoproteins (ovalbumin and beta-casein). The Fe 3O 4@TiO 2 core-shell microspheres were further successfully applied for the nano-LC-MS/MS analysis of rat liver phosphoproteome, which resulted in identification of 56 phosphopeptides (65 phosphorylation sites) in mouse liver lysate in a single run, indicating the excellent performance of the Fe 3O 4@TiO 2 core-shell microspheres.