Confident phosphorylation site localization using the Mascot Delta Score

Large scale phosphorylation analysis is more and more getting into focus of proteomic research. Although it is now possible to identify thousands of phosphorylated peptides in a biological system, confident site localization remains challenging. Here we validate the Mascot Delta Score (MD-score) as a simple method that achieves similar sensitivity and specificity for phosphosite localization as the published Ascore, which is mainly used in conjunction with Sequest. The MD-score was evaluated using liquid chromatography-tandem MS data of 180 individually synthesized phosphopeptides with precisely known phosphorylation sites. We tested the MD-score for a wide range of commonly available fragmentation methods and found it to be applicable throughout with high statistical significance. However, the different fragmentation techniques differ strongly in their ability to localize phosphorylation sites. At 1% false localization rate, the highest number of correctly assigned phosphopeptides was achieved by higher energy collision induced dissociation in combination with an Orbitrap mass analyzer followed very closely by low resolution ion trap spectra obtained after electron transfer dissociation. Both these methods are significantly better than low resolution spectra acquired after collision induced dissociation and multi stage activation. Score thresholds determined from simple calibration functions for each fragmentation method were stable over replicate analyses of the phosphopeptide set. The MD-score outperforms the Ascore for tyrosine phosphorylated peptides and we further show that the ability to call sites correctly increases with increasing distance of two candidate sites within a peptide sequence. The MD-score does not require complex computational steps which makes it attractive in terms of practical utility. We provide all mass spectra and the synthetic peptides to the community so that the development of present and future localization software can be benchmarked and any laboratory can determine MD-scores and localization probabilities for their individual analytical set up.     

Pinpointing phosphorylation sites: Quantitative filtering and a novel site-specific x-ion fragment

Phosphoproteomics deals with the identification and quantification of thousands of phosphopeptides. Localizing the phosphorylation site is however much more difficult than establishing the identity of a phosphorylated peptide. Further, recent findings have raised doubts of the validity of the site assignments in large-scale phosphoproteomics data sets. To improve methods for site localization, we made use of a synthetic phosphopeptide library and SILAC-labeled peptides from whole cell lysates and analyzed these with high-resolution tandem mass spectrometry on an LTQ Orbitrap Velos. We validated gas-phase phosphate rearrangement reactions during collision-induced dissociation (CID) and used these spectra to devise a quantitative filter that by comparing signal intensities of putative phosphorylated fragment ions with their nonphosphorylated counterparts allowed us to accurately pinpoint which fragment ions contain a phosphorylated residue and which ones do not. We also evaluated higher-energy collisional dissociation (HCD) and found this to be an accurate method for correct phosphorylation site localization with no gas-phase rearrangements observed above noise level. Analyzing a large set of HCD spectra of SILAC-labeled phosphopeptides, we identified a novel fragmentation mechanism that generates a phosphorylation site-specific neutral loss derived x-ion, which directly pinpoints the phosphorylated residue. Together, these findings significantly improve phosphorylation site localization confidence.     

PhosTShunter: a fast and reliable tool to detect phosphorylated peptides in liquid chromatography Fourier transform tandem mass spectrometry data sets

A database independent search algorithm for the detection of phosphopeptides is described. The program interrogates the tandem mass spectra of LC-MS/MS data sets regarding the presence of phosphorylation specific signatures. To achieve maximum informational content, the complementary fragmentation techniques electron capture dissociation (ECD) and collisionally activated dissociation (CAD) are used independently for peptide fragmentation. Several criteria characteristic for peptides phosphorylated on either serine or threonine residues were evaluated. The final algorithm searches for product ions generated by either the neutral loss of phosphoric acid or the combined neutral loss of phosphoric acid and water. Various peptide mixtures were used to evaluate the program. False positive results were not observed because the program utilizes the parts-per-million mass accuracy of Fourier transform ion cyclotron resonance mass spectrometry. Additionally, false negative results were not generated owing to the high sensitivity of the chosen criteria. The limitations of database dependent data interpretation tools are discussed and the potential of the novel algorithm to overcome these limitations is illustrated.     

Laser-induced dissociation of phosphorylated peptides using matrix assisted laser desorption/ionization tandem time-of-flight mass spectrometry

Reversible phosphorylation is one of the most important posttranslational modifications of cellular proteins. Mass spectrometry is a widely used technique in the characterization of phosphorylated proteins and peptides. Similar to nonmodified peptides, sequence information for phosphopeptides digested from proteins can be obtained by tandem mass analysis using either electrospray ionization or matrix assisted laser desorption/ionization (MALDI) mass spectrometry. However, the facile loss of neutral phosphoric acid (H₃PO₄) or HPO₃ from precursor ions and fragment ions hampers the precise determination of phosphorylation site, particularly if more than one potential phosphorylation site or concensus sequence is present in a given tryptic peptide. Here, we investigated the fragmentation of phosphorylated peptides under laser-induced dissociation (LID) using a MALDI-time-of-flight mass spectrometer with a curved-field reflectron. Our data demonstrated that intact fragments bearing phosphorylated residues were produced from all tested peptides that contain at least one and up to four phosphorylation sites at serine, threonine, or tyrosine residues. In addition, the LID of phosphopeptides derivatized by N-terminal sulfonation yields simplified MS/MS spectra, suggesting the combination of these two types of spectra could provide an effective approach to the characterization of proteins modified by phosphorylation.     

Identification of phosphorylation sites in the polo-like kinases Plx1 and Plk1 by a novel strategy based on element and electrospray high resolution mass spectrometry

A novel strategy for the determination of protein phosphorylation sites is described and applied to the polo-like kinases Plx1 (Xenopus laevis) and Plk1 (Homo sapiens). The strategy comprises the sequential application of the following techniques: proteolytic digestion, capillary liquid chromatography (LC)-inductively coupled plasma mass spectrometry with phosphorus detection, capillary LC-electrospray mass spectrometry and electrospray tandem mass spectrometry. In this approach, phosphopeptides are generated, their elution time in capillary LC is determined, candidate phosphopeptides at the corresponding elution times are identified, and positive identification and sequencing of phosphopeptides is performed in the last step of the analysis. Using this technique, Ser25/26, Ser326, and Ser340 were identified as phosphorylation sites in recombinant Plx1, and Ser340 was identified as the major phosphorylation site in a kinase-dead mutant of Plx1 expressed in okadaic acid-treated Sf9 insect cells. A site corresponding to Ser326 in Plx1 was also shown to be phosphorylated in the human polo-like kinase Plk1 (Ser335). Element mass spectrometry with phosphorus detection provides a quantitative phosphorylation profile of all phosphorylation sites accessible by LC.     

Improve the coverage for the analysis of phosphoproteome of HeLa cells by a tandem digestion approach

Complete coverage of all phosphorylation sites in a proteome is the ultimate goal for large-scale phosphoproteome analysis. However, only making use of one protease trypsin for protein digestion cannot cover all phosphorylation sites, because not all tryptic phosphopeptides are detectable in MS. To further increase the phosphoproteomics coverage of HeLa cells, we proposed a tandem digestion approach by using two different proteases. By combining the data set of the first Glu-C digestion and the second trypsin digestion, the tandem digestion approach resulted in the identification of 8062 unique phosphopeptides and 8507 phosphorylation sites in HeLa cells. The conventional trypsin digestion approach resulted in the identification of 3891 unique phosphopeptides and 4647 phosphorylation sites. It was found that the phosphorylation sites identified from the above two approaches were highly complementary. By combining above two data sets, in total we identified 10899 unique phosphopeptides and 11262 phosphorylation sites, corresponding to 3437 unique phosphoproteins with FDR < 1% at peptide level. We also compared the kinase motifs extracted from trypsin, Glu-C, or a second trypsin digestion data sets. It was observed that basophilic motifs were more frequently found in the trypsin and the second trypsin digestion data sets, and the acidic motifs were more frequently found in the Glu-C digestion data set. These results demonstrated that our tandem digestion approach is a good complement to the conventional trypsin digestion approach for improving the phosphoproteomics analysis coverage of HeLa cells.     

Identification of flow-dependent endothelial nitric-oxide synthase phosphorylation sites by mass spectrometry and regulation of phosphorylation and nitric oxide production by the phosphatidylinositol 3-kinase inhibitor LY294002.

Endothelial cells release nitric oxide (NO) acutely in response to increased laminar fluid shear stress, and the increase is correlated with enhanced phosphorylation of endothelial nitric-oxide synthase (eNOS). Phosphoamino acid analysis of eNOS from bovine aortic endothelial cells labeled with [(32)P]orthophosphate demonstrated that only phosphoserine was present in eNOS under both static and flow conditions. Fluid shear stress induced phosphate incorporation into two specific eNOS tryptic peptides as early as 30 s after initiation of flow. The flow-induced tryptic phosphopeptides were enriched, separated by capillary electrophoresis with intermittent voltage drops, also known as "peak parking," and analyzed by collision-induced dissociation in a tandem mass spectrometer. Two phosphopeptide sequences determined by tandem mass spectrometry, TQpSFSLQER and KLQTRPpSPGPPPAEQLLSQAR, were confirmed as the two flow-dependent phosphopeptides by co-migration with synthetic phosphopeptides. Because the sequence (RIR)TQpSFSLQER contains a consensus substrate site for protein kinase B (PKB or Akt), we demonstrated that LY294002, an inhibitor of the upstream activator of PKB, phosphatidylinositol 3-kinase, inhibited flow-induced eNOS phosphorylation by 97% and NO production by 68%. Finally, PKB phosphorylated eNOS in vitro at the same site phosphorylated in the cell and increased eNOS enzymatic activity by 15-20-fold.     

Colander: a probability-based support vector machine algorithm for automatic screening for CID spectra of phosphopeptides prior to database search

We developed a probability-based machine-learning program, Colander, to identify tandem mass spectra that are highly likely to represent phosphopeptides prior to database search. We identified statistically significant diagnostic features of phosphopeptide tandem mass spectra based on ion trap CID MS/MS experiments. Statistics for the features are calculated from 376 validated phosphopeptide spectra and 376 nonphosphopeptide spectra. A probability-based support vector machine (SVM) program, Colander, was then trained on five selected features. Data sets were assembled both from LC/LC-MS/MS analyses of large-scale phosphopeptide enrichments from proteolyzed cells, tissues and synthetic phosphopeptides. These data sets were used to evaluate the capability of Colander to select pS/pT-containing phosphopeptide tandem mass spectra. When applied to unknown tandem mass spectra, Colander can routinely remove 80% of tandem mass spectra while retaining 95% of phosphopeptide tandem mass spectra. The program significantly reduced computational time spent on database search by 60-90%. Furthermore, prefiltering tandem mass spectra representing phosphopeptides can increase the number of phosphopeptide identifications under a predefined false positive rate.     

PhosphoScan: a probability-based method for phosphorylation site prediction using MS2/MS3 pair information

Phosphopeptide identification and phosphorylation site localization are crucial aspects of many biological studies. Furthermore, multiple phosphorylations of peptides make site localization even more difficult. We developed a probability-based method to unambiguously determine phosphorylation sites within phosphopeptides using MS2/3 pair information. A comparison test was performed with SEQUEST and MASCOT predictions using a spectral data set from a synthetic doubly phosphorylated peptide, and the results showed that PhosphoScan analysis yielded a 63% phosphopeptide localization improvement compared with SEQUEST and a 57% improvement compared with MASCOT.     

Mapping sites of protein phosphorylation by mass spectrometry utilizing a chemical-enzymatic approach: characterization of products from alpha-S1 casein phosphopeptides

A novel chemical-enzymatic approach was developed to facilitate identification of phosphorylation sites in isolated phosphoproteins. ESI-TOF mass spectrometry was used to characterize products from the chemical-enzymatic cleavage of specific phosphorylation sites in bovine alpha-S1 casein and synthetic phosphopeptides containing substitutions at a single phosphorylation site. Further refinements to this approach for identification of protein phosphorylation sites and its utility for the quantification of phosphopeptides by isotope-dilution mass spectrometry are presented.     

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.     

PhosSA: Fast and accurate phosphorylation site assignment algorithm for mass spectrometry data

Phosphorylation site assignment of high throughput tandem mass spectrometry (LC-MS/MS) data is one of the most common and critical aspects of phosphoproteomics. Correctly assigning phosphorylated residues helps us understand their biological significance. The design of common search algorithms (such as Sequest, Mascot etc.) do not incorporate site assignment; therefore additional algorithms are essential to assign phosphorylation sites for mass spectrometry data. The main contribution of this study is the design and implementation of a linear time and space dynamic programming strategy for phosphorylation site assignment referred to as PhosSA. The proposed algorithm uses summation of peak intensities associated with theoretical spectra as an objective function. Quality control of the assigned sites is achieved using a post-processing redundancy criteria that indicates the signal-to-noise ratio properties of the fragmented spectra. The quality assessment of the algorithm was determined using experimentally generated data sets using synthetic peptides for which phosphorylation sites were known. We report that PhosSA was able to achieve a high degree of accuracy and sensitivity with all the experimentally generated mass spectrometry data sets. The implemented algorithm is shown to be extremely fast and scalable with increasing number of spectra (we report up to 0.5 million spectra/hour on a moderate workstation). The algorithm is designed to accept results from both Sequest and Mascot search engines. An executable is freely available at http://helixweb.nih.gov/ESBL/PhosSA/ for academic research purposes.     

A probability-based approach for high-throughput protein phosphorylation analysis and site localization

Data analysis and interpretation remain major logistical challenges when attempting to identify large numbers of protein phosphorylation sites by nanoscale reverse-phase liquid chromatography/tandem mass spectrometry (LC-MS/MS) (Supplementary Figure 1 online). In this report we address challenges that are often only addressable by laborious manual validation, including data set error, data set sensitivity and phosphorylation site localization. We provide a large-scale phosphorylation data set with a measured error rate as determined by the target-decoy approach, we demonstrate an approach to maximize data set sensitivity by efficiently distracting incorrect peptide spectral matches (PSMs), and we present a probability-based score, the Ascore, that measures the probability of correct phosphorylation site localization based on the presence and intensity of site-determining ions in MS/MS spectra. We applied our methods in a fully automated fashion to nocodazole-arrested HeLa cell lysate where we identified 1,761 nonredundant phosphorylation sites from 491 proteins with a peptide false-positive rate of 1.3%.     

生物质谱结合IMAC亲和提取和磷酸酶水解分析蛋白质磷酸化修饰

蛋白质磷酸化是生物体内非常重要的翻译后修饰方式 ,对磷酸化蛋白质的分析及磷酸化位点的确定有助于理解与其相关的生物功能。基质辅助激光解吸 /电离飞行时间质谱和电喷雾 四极杆 飞行时间质谱这两种生物质谱仪在蛋白质鉴定和翻译后修饰分析中发挥着重要作用。固相金属亲和色谱可选择性亲和提取肽混合物中的磷酸肽 ,结合磷酸酶水解实验和基质辅助激光解吸 /电离飞行时间质谱分析可确定肽混合物中的磷酸肽 ,最后用电喷雾 四极杆 飞行时间串联质谱分析磷酸肽的序列 ,结合数据库检索确定磷酸化位点。     

PhosphoScore: an open-source phosphorylation site assignment tool for MSn data

Correct phosphorylation site assignment is a critical aspect of phosphoproteomic analysis. Large-scale phosphopeptide data sets that are generated through liquid chromatography-coupled tandem mass spectrometry (LC-MS/MS) analysis often contain hundreds or thousands of phosphorylation sites that require validation. To this end, we have created PhosphoScore, an open-source assignment program that is compatible with phosphopeptide data from multiple MS levels (MS(n)). The algorithm takes into account both the match quality and normalized intensity of observed spectral peaks compared to a theoretical spectrum. PhosphoScore produced >95% correct MS(2) assignments from known synthetic data, > 98% agreement with an established MS(2) assignment algorithm (Ascore), and >92% agreement with visual inspection of MS(3) and MS(4) spectra.     

Phosphorylation of the alpha subunit of rat brain sodium channels by cAMP-dependent protein kinase at a new site containing Ser686 and Ser687

The alpha subunit of the rat brain sodium channel is phosphorylated by cAMP-dependent protein kinase in vitro and in situ at multiple sites which yield seven tryptic phosphopeptides. Phosphopeptides 1-4 and 7 are derived from phosphorylation sites between residues 554 and 623 in a single large CNBr fragment from the cytoplasmic segment connecting homologous domains I and II of the alpha subunit (Rossie, S., Gordon, D., and Catterall, W. A. (1987) J. Biol. Chem. 262, 17530-17535). In the present work, antibodies were prepared against a synthetic peptide corresponding to residues 676-692 (AbSP15), which contain one additional potential phosphorylation site at Ser686-Ser687 in a different predicted CNBr fragment of this same intracellular segment. AbSP15 recognizes native and denatured sodium channels specifically and immunoprecipitates phosphorylated CNBr fragments of low molecular mass that contain a new site phosphorylated by cAMP-dependent protein kinase. Comparison of tryptic phosphopeptides derived from intact alpha subunits with those derived from the phosphorylated CNBr fragments isolated by immunoprecipitation with AbSP15 indicates that the two previously unidentified phosphopeptides 5 and 6 derived from the intact alpha subunit arise from phosphorylation of the site containing Ser686-Ser687. These results identify a new cAMP-dependent phosphorylation site and show that the major cAMP-dependent phosphorylation sites of the rat brain sodium channel, which are phosphorylated both in vitro and in intact neurons, are all located in a cluster between residues 554 and 687 in the intracellular segment between domains I and II.     

Large-scale phosphorylation analysis of alpha-factor-arrested Saccharomyces cerevisiae

Protein phosphorylation is essential for numerous cellular processes. Large-scale profiling of phosphoproteins continues to enhance the depth and speed at which we understand these processes. The development of effective phosphoprotein and peptide enrichment techniques and improvements to mass spectrometric instrumentation have intensified phosphoproteomic research in recent years, leading to unprecedented achievements. Here, we describe a large-scale phosphorylation analysis of alpha-factor-arrested yeast. Using a multidimensional separation strategy involving preparative SDS-PAGE for prefractionation, in-gel digestion with trypsin, and immobilized metal affinity chromatography (IMAC) enrichment of phosphopeptides, followed by LC-MS/MS analysis employing a hybrid LTQ-Orbitrap mass spectrometer, we were able to catalog a substantial portion of the phosphoproteins present in yeast whole-cell lysate. This analysis yielded the confident identification of 2288 nonredundant phosphorylation sites from 985 proteins. The ambiguity score (Ascore) algorithm was utilized to determine the certainty of site localization for the entire data set. In addition, the size of the data set permitted extraction of known and novel kinase motifs using the Motif-X algorithm. Finally, a large number of members of the pheromone signaling pathway were found as phosphoproteins and are discussed.