Mining a tandem mass spectrometry database to determine the trends and global factors influencing peptide fragmentation

Infrared multiphoton dissociation of peptide cations in a dual pressure linear ion trap mass spectrometer

A dual pressure linear ion trap mass spectrometer was modified to permit infrared multiphoton dissociation (IRMPD) in each of the two cells-the first a high pressure cell operated at nominally 5 x 10(-3) Torr and the second a low pressure cell operated at nominally 3 x 10(-4) Torr. When IRMPD was performed in the high pressure cell, most peptide ions did not undergo significant photodissociation; however, in the low pressure cell peptide cations were efficiently dissociated with less than 25 ms of IR irradiation regardless of charge state. IRMPD of peptide cations allowed the detection of low m/z product ions including the y(1) fragments and immonium ions which are not typically observed by ion trap collision induced dissociation (CID). Photodissociation efficiencies of approximately 100% and MS/MS (tandem mass spectrometry) efficiencies of greater than 60% were observed for both multiply and singly protonated peptides. In general, higher sequence coverage of peptides was obtained using IRMPD over CID. Further, greater than 90% of the product ion current in the IRMPD mass spectra of doubly charged peptide ions was composed of singly charged product ions compared to the CID mass spectra in which the abundances of the multiply and singly charged product ions were equally divided. Highly charged primary product ions also underwent efficient photodissociation to yield singly charged secondary product ions, thus simplifying the IRMPD product ion mass spectra.

Ionic reagent for controlling the gas-phase fragmentation reactions of cross-linked peptides

Chemical cross-linking combined with proteolytic digestion and mass spectrometry (MS) is a promising approach to provide inter- and intramolecular distance constraints for the structural characterization of protein topologies and functional multiprotein complexes. Despite the relative straightforwardness of these methodologies, the identification and characterization of cross-linked proteins presents a significant analytical challenge, due to the complexity of the resultant peptide mixtures, as well as the array of inter-, intra-, or "dead-end"-cross-linked peptides that may be generated from a single cross-linking experiment. To address these issues, we describe here the synthesis, characterization, and initial evaluation of a novel "fixed charge" sulfonium ion-containing crosslinking reagent, S-methyl 5,5'-thiodipentanoylhydroxysuc-cinimide. The peptide products obtained by reaction with this reagent are all shown to fragment exclusively via facile cleavage of the C-S bond directly adjacent to the fixed charge during CID-MS/MS, resulting in the formation of characteristic product ions that enable the presence and type (i.e., inter, intra, or dead-end) of the cross-linked products to be readily determined, independently of the "proton mobility" of the precursor ion. Subsequent isolation and dissociation of these products by MS3 provides additional structural information required for identification of the peptide sequences involved in the cross-linking reactions, as well as for characterization of the specific site(s) at which cross-linking has occurred. The specificity of these gas-phase fragmentation reactions, as well as the solubility and stability of the cross-linking reagent under aqueous conditions, suggests that this strategy holds great promise for use in future studies aimed at the structural analysis of large proteins or multiprotein assemblies.

Metastable atom-activated dissociation mass spectrometry: leucine/isoleucine differentiation and ring cleavage of proline residues

Extensive backbone fragmentation resulting in a-, b-, c-, x-, y- and z-type ions is observed of singly and doubly charged peptide ions through their interaction with a high kinetic energy beam of argon or helium metastable atoms in a modified quadrupole ion trap mass spectrometer. The ability to determine phosphorylation-sites confirms the observation with previous reports and we report the new ability to distinguish between leucine and isoleucine residues and the ability to cleave two covalent bonds of the proline ring resulting in a-, b-, x-, y-, z- and w-type ions. The fragmentation spectra indicate that fragmentation occurs through nonergodic radical ion chemistry akin to electron capture dissociation (ECD), electron transfer dissociation (ETD) and electron ionization dissociation mechanisms. However, metastable atom-activated dissociation mass spectrometry demonstrates three apparent benefits to ECD and ETD: (1) the ability to fragment singly charged precursor ions, (2) the ability to fragment negatively charged ions and (3) the ability to cleave the proline ring that requires the cleavage of two covalent bonds. Helium metastable atoms generated more fragment ions than argon metastable atoms for both substance P and bradykinin regardless of the precursor ion charge state. Reaction times less than 250 ms and efficiencies approaching 5% are compatible with on-line fragmentation, as would be desirable for bottom-up proteomics applications.

Rapid optimization of MRM-MS instrument parameters by subtle alteration of precursor and product m/z targets

Multiple reaction monitoring (MRM) is a highly sensitive method of targeted mass spectrometry (MS) that can be used to selectively detect and quantify peptides based on the screening of specified precursor peptide-to-fragment ion transitions. MRM-MS sensitivity depends critically on the tuning of instrument parameters, such as collision energy and cone voltage, for the generation of maximal product ion signal. Although generalized equations and values exist for such instrument parameters, there is no clear indication that optimal signal can be reliably produced for all types of MRM transitions using such an algorithmic approach. To address this issue, we have devised a workflow functional on both Waters Quattro Premier and ABI 4000 QTRAP triple quadrupole instruments that allows rapid determination of the optimal value of any programmable instrument parameter for each MRM transition. Here, we demonstrate the strategy for the optimizations of collision energy and cone voltage, but the method could be applied to other instrument parameters, such as declustering potential, as well. The workflow makes use of the incremental adjustment of the precursor and product m/z values at the hundredth decimal place to create a series of MRM targets at different collision energies that can be cycled through in rapid succession within a single run, avoiding any run-to-run variability in execution or comparison. Results are easily visualized and quantified using the MRM software package Mr. M to determine the optimal instrument parameters for each transition.

Radical-driven dissociation of odd-electron peptide radical ions produced in 157 nm photodissociation

Odd-electron a + 1 radical ions generated in the 157 nm photodissociation of peptide ions were investigated in an ion trap mass spectrometer. To localize the radical, peptide backbone amide hydrogens were replaced with deuterium. When the resulting radical ions underwent hydrogen elimination, no H/D scrambling was obvious, suggesting that without collisional activation, the radical resides on the terminal alpha-carbon. Upon collisional excitation, odd-electron radical ions dissociate through two favored pathways: the production of a-type ions at aromatic amino acids via homolytic cleavage of backbone C(alpha)-C(O) bonds and side-chain losses at nonaromatic amino acids. When aromatic residues are not present, nonaromatic residues can also lead to a-type ions. In addition to a-type ions, serine and threonine yield c(n-1) and a(n-1) + 1 ions where n denotes the position of the serine or threonine. All of these fragments appear to be directed by the radical and they strongly depend on the amino acid side-chain structure. In addition, thermal fragments are also occasionally observed following cleavage of labile Xxx-Pro bonds and their formation appears to be kinetically competitive with radical migration.

Predicting intensity ranks of peptide fragment ions

Accurate modeling of peptide fragmentation is necessary for the development of robust scoring functions for peptide-spectrum matches, which are the cornerstone of MS/MS-based identification algorithms. Unfortunately, peptide fragmentation is a complex process that can involve several competing chemical pathways, which makes it difficult to develop generative probabilistic models that describe it accurately. However, the vast amounts of MS/MS data being generated now make it possible to use data-driven machine learning methods to develop discriminative ranking-based models that predict the intensity ranks of a peptide's fragment ions. We use simple sequence-based features that get combined by a boosting algorithm into models that make peak rank predictions with high accuracy. In an accompanying manuscript, we demonstrate how these prediction models are used to significantly improve the performance of peptide identification algorithms. The models can also be useful in the design of optimal multiple reaction monitoring (MRM) transitions, in cases where there is insufficient experimental data to guide the peak selection process. The prediction algorithm can also be run independently through PepNovo+, which is available for download from http://bix.ucsd.edu/Software/PepNovo.html.

Observations on the detection of b- and y-type ions in the collisionally activated decomposition spectra of protonated peptides

Tandem mass spectrometric data from peptides are routinely used in an unsupervised manner to infer product ion sequence and hence the identity of their parent protein. However, significant variability in relative signal intensity of product ions within peptide tandem mass spectra is commonly observed. Furthermore, instrument-specific patterns of fragmentation are observed, even where a common mechanism of ion heating is responsible for generation of the product ions. This information is currently not fully exploited within database searching strategies; this motivated the present study to examine a large dataset of tandem mass spectra derived from multiple instrumental platforms. Here, we report marked global differences in the product ion spectra of protonated tryptic peptides generated from two of the most common proteomic platforms, namely tandem quadrupole-time-of-flight and quadrupole ion trap instruments. Specifically, quadrupole-time-of-flight tandem mass spectra show a significant under-representation of N-terminal b-type fragments in comparison to quadrupole ion trap product ion spectra. Energy-resolved mass spectrometry experiments conducted upon test tryptic peptides clarify this disparity; b-type ions are significantly less stable than their y-type N-terminal counterparts, which contain strongly basic residues. Secondary fragmentation processes which occur within the tandem quadrupole-time-of-flight device account for the observed differences, whereas this secondary product ion generation does not occur to a significant extent from resonant excitation performed within the quadrupole ion trap. We suggest that incorporation of this stability information in database searching strategies has the potential to significantly improve the veracity of peptide ion identifications as made by conventional database searching strategies.

Phosphorylated serine and threonine residues promote site-specific fragmentation of singly charged, arginine-containing peptide ions

In order to investigate gas-phase fragmentation reactions of phosphorylated peptide ions, matrix-assisted laser desorption/ionization (MALDI) and electrospray ionization (ESI) tandem mass (MS/MS) spectra were recorded from synthetic phosphopeptides and from phosphopeptides isolated from natural sources. MALDI-TOF/TOF (TOF: time-of-flight) spectra of synthetic arginine-containing phosphopeptides revealed a significant increase of y ions resulting from bond cleavages on the C-terminal side of phosphothreonine or phosphoserine. The same effect was found in ESI-MS/MS spectra recorded from the singly charged but not from the doubly charged ions of these phosphopeptides. ESI-MS/MS spectra of doubly charged phosphopeptides containing two arginine residues support the following general fragmentation rule: Increased amide bond cleavage on the C-terminal side of phosphorylated serines or threonines mainly occurs in peptide ions which do not contain mobile protons. In MALDI-TOF/TOF spectra of phosphopeptides displaying N-terminal fragment ions, abundant b-H(3)PO(4) ions resulting from the enhanced dissociation of the pSer/pThr-X bond were detected (X denotes amino acids). Cleavages at phosphoamino acids were found to be particularly predominant in spectra of phosphopeptides containing pSer/pThr-Pro bonds. A quantitative evaluation of a larger set of MALDI-TOF/TOF spectra recorded from phosphopeptides indicated that phosphoserine residues in arginine-containing peptides increase the signal intensities of the respective y ions by almost a factor of 3. A less pronounced cleavage-enhancing effect was observed in some lysine-containing phosphopeptides without arginine. The proposed peptide fragmentation pathways involve a nucleophilic attack by phosphate oxygen on the carbon center of the peptide backbone amide, which eventually leads to cleavage of the amide bond.

Oligomerization of the macrophage mannose receptor enhances gp120-mediated binding of HIV-1

C-type lectin receptors expressed on the surface of dendritic cells and macrophages are able to bind glycoproteins of microbial pathogens via mannose, fucose, and N-acetylglucosamine. Langerin on Langerhans cells, dendritic cell-specific intercellular adhesion molecule 3-grabbing nonintegrin on dendritic cells, and mannose receptor (MR) on dendritic cells and macrophages bind the human immunodeficiency virus (HIV) envelope protein gp120 principally via high mannose oligosaccharides. These C-type lectin receptors can also oligomerize to facilitate enhanced ligand binding. This study examined the effect of oligomerization of MR on its ability to bind to mannan, monomeric gp120, native trimeric gp140, and HIV type 1 BaL. Mass spectrometry analysis of cross-linked MR showed homodimerization on the surface of primary monocyte-derived dendritic cells and macrophages. Both monomeric and dimeric MR were precipitated by mannan, but only the dimeric form was co-immunoprecipitated by gp120. These results were confirmed independently by flow cytometry analysis of soluble monomeric and trimeric HIV envelope and a cellular HIV virion capture assay. As expected, mannan bound to the carbohydrate recognition domains of MR dimers mostly in a calcium-dependent fashion. Unexpectedly, gp120-mediated binding of HIV to dimers on MR-transfected Rat-6 cells and macrophages was not calcium-dependent, was only partially blocked by mannan, and was also partially inhibited by N-acetylgalactosamine 4-sulfate. Thus gp120-mediated HIV binding occurs via the calcium-dependent, non-calcium-dependent carbohydrate recognition domains and the cysteine-rich domain at the C terminus of MR dimers, presenting a much broader target for potential inhibitors of gp120-MR binding.

Extracting both peptide sequence and glycan structural information by 157 nm photodissociation of N-linked glycopeptides

The 157 nm photodissociation of N-linked glycopeptides was investigated in MALDI tandem time-of-flight (TOF) and linear ion trap mass spectrometers. Singly charged glycopeptides yielded abundant peptide and glycan fragments. The peptide fragments included a series of x-, y-, v-, and w- ions with the glycan remaining intact. These provide information about the peptide sequence and the glycosylation site. In addition to glycosidic fragments, abundant cross-ring glycan fragments that are not observed in low-energy CID were detected. These fragments provide insight into the glycan sequence and linkages. Doubly charged glycopeptides generated by nanospray in the linear ion trap mass spectrometer also yielded peptide and glycan fragments. However, the former were dominated by low-energy fragments such as b- and y- type ions while glycan was primarily cleaved at glycosidic bonds.

What is the structure of b(2) ions generated from doubly protonated tryptic peptides?

A recent statistical study (Savitski, M. M.; Falth, M.; Eva Fung, Y. M.; Adams, C. M.; Zubarev, R. A. J. Am. Soc. for Mass Spectrom.doi: 10.1016/j.jasms.2008.08.003) of a large spectral database indicated that the product ion spectra of doubly protonated tryptic peptides fall into two distinct classes. The main factor distinguishing the two classes is the relative abundance of the y(N-2) fragment: for Class I spectra y(N-2) is the most abundant y fragment while for Class II other y ions dominate the corresponding spectra. To explain the dominance of y(N-2) for Class I spectra formation of a nontraditional b(2) ion with a diketopiperazine (6-membered cyclic peptide) rather than an oxazolone structure was proposed. Here we present evidence from tandem mass spectrometry, hydrogen/deuterium exchange, and density functional calculations that do not support this proposal. Namely, that CID of doubly protonated YIGSR, YGGFLR, and YIYGSFK produce Class I product ion spectra, yet the b(2) fragment is shown to have the traditional oxazolone structure.

Current affairs in quantitative targeted proteomics: multiple reaction monitoring-mass spectrometry

Quantitative targeted proteomics has recently taken front stage in the proteomics community. Centered on multiple reaction monitoring-mass spectrometry (MRM-MS) methodologies, quantitative targeted proteomics is being used in the verification of global proteomics data, the discovery of lower abundance proteins, protein post-translational modifications, discrimination of select highly homologous protein isoforms and as the final step in biomarker discovery. An older methodology utilized with small molecule analysis, the proteomics community is making great technological strides to develop MRM-MS as the next method to address previously challenging issues in global proteomics experimentation, namely dynamic range, identification of post-translational modifications, sensitivity and selectivity of measurement which will undoubtedly further biomedical knowledge. This brief review will provide a general introduction of MRM-MS and highlight its novel application for targeted quantitative proteomic experimentations.

Femtosecond laser-induced ionization/dissociation of protonated peptides

Although tandem mass spectrometry has revolutionized the identification and structural characterization of peptides and proteins, future advances in comprehensive proteome analysis will depend on the development of improved methods for ion activation that yield greater sequence information, and with selective control over the fragmentation chemistry. This report presents initial findings that demonstrate the utility of a novel ion activation method using ultrashort (approximately 30 fs) laser pulses as a means to overcome the limitations of current technologies, while opening the door to solving significant challenges in protein and peptide analysis.

Collisional energy dependence of peptide ion fragmentation

The energy dependence of fragmentation in a collision cell was measured for 2400 protonated peptide ions derived from the digestion of 24 proteins. The collision voltage at which the sum of the fragment ion abundances was equal to the remaining parent ion (V(1/2)) was the principal measure of fragmentation effectiveness. Each class of peptides was characterized by a linear relation between V(1/2) and m/z whose slope depended on the peptide class and, with little adjustment, intersected the origin. Peptide ions where the number of protons is no greater than the number of arginine residues show the greatest slope, V(1/2)/(m/z) = 0.0472 (all slopes in units of V Da(-1) e). For peptides where the number of protons is greater than the number of arginines, but not greater than the total number of basic residues, the slope decreases to 0.0414 for singly charged ions, 0.0382 for doubly charged, 0.0346 for triply charged, and 0.0308 for more highly charged ions. With one mobile proton, the slope is about 0.029 for singly and doubly charged ions and slightly lower for more highly charged ions. With two or more mobile protons the slope is 0.0207. By removing m/z dependence, the deviation of V(1/2) from a line provides a relative measure of the ease of fragmentation of an ion in each class. This information can guide the selection of optimal conditions for tandem mass spectrometry studies in collision cells for selected peptide ions as well as aid in comparing the reactivity of ions differing in m/z and charge state.

Characterization of recombinant protein mutants by top-down sequencing using quadrupole time-of-flight mass spectrometry

Top-down sequencing using quadrupole time-of-flight mass spectrometry is used as a direct way of locating the mutated sites of recombinant proteins and posttranslational modification in a protein. Several mutants of barstar, expressed in E.coli, were confirmed by analyzing the fragmentation pattern of mutants. A contaminant protein, that appeared while purifying mutants of barstar, was identified as acyl carrier protein from E.coli with a posttranslational modification on serine residue, indicating that the protein was biologically active. A mutant of ribosomal protein S6 has been characterized with neutral loss of ammonia at the N-terminal region of the protein. The power of the "top-down" approach in characterizing the mutants of recombinant proteins has been demonstrated.

Review of factors that influence the abundance of ions produced in a tandem mass spectrometer and statistical methods for discovering these factors

Proteomic technologies are important because they link genes, proteins and disease. The identification of proteins and peptides has been revolutionized in the last decade by the use of mass spectrometry. This method is highly sensitive and much faster than the chemical reactions used previously because it can fragment peptides in seconds rather than in hours or days. Proteins are digested with an enzyme, usually trypsin, and the resulting peptides are fragmented in a tandem mass spectrometer (MS/MS). The masses of the fragment ions formed in the MS/MS can be used to identify the sequence of amino acids in the peptides. However, a number of different factors have been found to influence the amount of the various types of fragment ion formed. In this article, we review these factors and their interrelation together with the statistical methods used to discover them. Information on the number of fragment ions formed is at present underused in peptide identification algorithms, and fully utilizing this information could improve current algorithms.

Gas-phase peptide fragmentation: how understanding the fundamentals provides a springboard to developing new chemistry and novel proteomic tools

This tutorial provides an overview of the evolution of some of the key concepts in the gas-phase fragmentation of different classes of peptide ions under various conditions [e.g. collision-induced dissociation (CID) and electron transfer dissociation (ETD)], and then demonstrates how these concepts can be used to develop new methods. For example, an understanding of the role of the mobile proton and neighboring group interactions in the fragmentation reactions of protonated peptides has led to the design of the 'SELECT' method. For ETD, a model based on the Landau-Zener theory reveals the role of both thermodynamic and geometric effects in the electron transfer from polyatomic reagent anions to multiply protonated peptides, and this predictive model has facilitated the design of a new strategy to form ETD reagent anions from precursors generated via ESI. Finally, two promising, emerging areas of gas-phase ion chemistry of peptides are also described: (1) the design of new gas-phase radical chemistry to probe peptide structure, and (2) selective cleavage of disulfide bonds of peptides in the gas phase via various physicochemical approaches.

Overview of tandem mass spectrometry (MS/MS) database search algorithms

Mass spectrometry-based methods for the identification of proteins are fundamental platform technologies for proteomics. One comprehensive approach is to subject trypsinized peptides to tandem mass spectrometry (MS/MS) to obtain detailed structural information. Different strategies are available for interpreting MS/MS data and hence deducing the amino acid sequence of the peptides. The most common method is to use a search algorithm to identify peptides by correlating experimental and theoretical MS/MS data (the latter being generated from possible peptides in the protein sequence database). Identified peptides are collated and protein entries from the sequence database inferred. This unit focuses on the most widely used tandem MS peptide identification search algorithms (commercial and open source), their availability, ease of use, strengths, speed and scoring, as well as their relative sensitivity and specificity.

A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data

Background

A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughput protein identification using mass spectrometry (MS). Current methodologies depend predominantly on the use of derived m/z values of fragment ions, and, the knowledge provided by the intensity information present in MS/MS spectra has not been fully exploited. Indeed spectrum intensity information is very rarely utilized in the algorithms currently in use for high-throughput protein identification.

Results

In this work, a Bayesian neural network approach is employed to analyze ion intensity information present in 13878 different MS/MS spectra. The influence of a library of 35 features on peptide fragmentation is examined under different proton mobility conditions. Useful rules involved in peptide fragmentation are found and subsets of features which have significant influence on fragmentation pathway of peptides are characterised. An intensity model is built based on the selected features and the model can make an accurate prediction of the intensity patterns for given MS/MS spectra. The predictions include not only the mean values of spectra intensity but also the variances that can be used to tolerate noises and system biases within experimental MS/MS spectra.

Conclusion

The intensity patterns of fragmentation spectra are informative and can be used to analyze the influence of various characteristics of fragmented peptides on their fragmentation pathway. The features with significant influence can be used in turn to predict spectra intensities. Such information can help develop more reliable algorithms for peptide and protein identification.

Peptizer, a tool for assessing false positive peptide identifications and manually validating selected results

False positive peptide identifications are a major concern in the field of peptidecentric, mass spectrometry-driven gel-free proteomics. They occur in regions where the score distributions of true positives and true negatives overlap. Removal of these false positive identifications necessarily involves a trade-off between sensitivity and specificity. Existing postprocessing tools typically rely on a fixed or semifixed set of assumptions in their attempts to optimize both the sensitivity and the specificity of peptide and protein identification using MS/MS spectra. Because of the expanding diversity in available proteomics technologies, however, these postprocessing tools often struggle to adapt to emerging technology-specific peculiarity. Here we present a novel tool named Peptizer that solves this adaptability issue by making use of pluggable assumptions. This research-oriented postprocessing tool also includes a graphical user interface to perform efficient manual validation of suspect identifications for optimal sensitivity recovery. Peptizer is open source software under the Apache2 license and is written in Java.

Feature selection in validating mass spectrometry database search results

Tandem mass spectrometry (MS/MS) combined with protein database searching has been widely used in protein identification. A validation procedure is generally required to reduce the number of false positives. Advanced tools using statistical and machine learning approaches may provide faster and more accurate validation than manual inspection and empirical filtering criteria. In this study, we use two feature selection algorithms based on random forest and support vector machine to identify peptide properties that can be used to improve validation models. We demonstrate that an improved model based on an optimized set of features reduces the number of false positives by 58% relative to the model which used only search engine scores, at the same sensitivity score of 0.8. In addition, we develop classification models based on the physicochemical properties and protein sequence environment of these peptides without using search engine scores. The performance of the best model based on the support vector machine algorithm is at 0.8 AUC, 0.78 accuracy, and 0.7 specificity, suggesting a reasonably accurate classification. The identified properties important to fragmentation and ionization can be either used in independent validation tools or incorporated into peptide sequencing and database search algorithms to improve existing software programs.

Quantification of the compositional information provided by immonium ions on a quadrupole-time-of-flight mass spectrometer

Immonium ions have been largely overlooked during the rapid expansion of mass spectrometry-based proteomics largely due to the dominance of ion trap instruments in the field. However, immonium ions are visible in hybrid quadrupole-time-of-flight (QTOF) mass spectrometers, which are now widely available. We have created the largest database to date of high-confidence sequence assignments to characterize the appearance of immonium ions in CID spectra using a QTOF instrument under "typical" operating conditions. With these data, we are able to demonstrate excellent correlation between immonium ion peak intensity and the likelihood of the appearance of the expected amino acid in the assigned sequence for phenylalanine, tyrosine, tryptophan, proline, histidine, valine, and the indistinguishable leucine and isoleucine residues. In addition, we have clearly demonstrated a positional effect whereby the proximity of the amino acid generating the immonium ion to the amino terminal of the peptide correlates with the strength of the immonium ion peak. This compositional information provided by the immonium ion peaks could substantially improve algorithms used for spectral assignment in mass spectrometry analysis using QTOF platforms.

2DB: a Proteomics database for storage, analysis, presentation, and retrieval of information from mass spectrometric experiments

Background

The amount of information stemming from proteomics experiments involving (multi dimensional) separation techniques, mass spectrometric analysis, and computational analysis is ever-increasing. Data from such an experimental workflow needs to be captured, related and analyzed. Biological experiments within this scope produce heterogenic data ranging from pictures of one or two-dimensional protein maps and spectra recorded by tandem mass spectrometry to text-based identifications made by algorithms which analyze these spectra. Additionally, peptide and corresponding protein information needs to be displayed.

Results

In order to handle the large amount of data from computational processing of mass spectrometric experiments, automatic import scripts are available and the necessity for manual input to the database has been minimized. Information is in a generic format which abstracts from specific software tools typically used in such an experimental workflow. The software is therefore capable of storing and cross analysing results from many algorithms. A novel feature and a focus of this database is to facilitate protein identification by using peptides identified from mass spectrometry and link this information directly to respective protein maps. Additionally, our application employs spectral counting for quantitative presentation of the data. All information can be linked to hot spots on images to place the results into an experimental context. A summary of identified proteins, containing all relevant information per hot spot, is automatically generated, usually upon either a change in the underlying protein models or due to newly imported identifications. The supporting information for this report can be accessed in multiple ways using the user interface provided by the application.

Conclusion

We present a proteomics database which aims to greatly reduce evaluation time of results from mass spectrometric experiments and enhance result quality by allowing consistent data handling. Import functionality, automatic protein detection, and summary creation act together to facilitate data analysis. In addition, supporting information for these findings is readily accessible via the graphical user interface provided. The database schema and the implementation, which can easily be installed on virtually any server, can be downloaded in the form of a compressed file from our project webpage.

Comprehensive comparison of collision induced dissociation and electron transfer dissociation

Electron transfer dissociation (ETD) is a recently introduced mass spectrometric technique which has proven to be an excellent tool for the elucidation of labile post-translational modifications such as phosphorylation and O-GlcNAcylation of serine and threonine residues. However, unlike collision induced dissociation (CID), which has been studied for decades, the intricacies of ETD-based fragmentation have not yet been firmly established or systematically addressed. In this analysis, we have systematically compared the CID and ETD fragmentation patterns for the large majority of the peptides that do not contain such labile modifications. Using a standard 48 protein mix, we were able to measure false-positive rates for the experiments and also assess a large number of peptides for a detailed comparison of CID and ETD fragmentation pattern. Analysis of approximately 19,000 peptides derived from both standard proteins and complex protein samples revealed that (i) CID identified 50% more peptides than ETD; (ii) ETD resulted in approximately 20% increase in amino acid sequence coverage over CID; and (iii) combining CID and ETD fragmentation increased the sequence coverage for an average tryptic peptide to 92%. Interestingly, our analysis revealed that nearly 60% of all ETD-identified peptides carried two positive charges, which is in sharp contrast to what has been generally accepted. We also present a novel strategy for automatic validation of peptide assignments based on identification of a peptide by consecutive CID and ETD fragmentation in an alternating mode.

Nonuniform isotope patterns produced by collision-induced dissociation of homogeneously labeled ubiquitin: implications for spatially resolved hydrogen/deuterium exchange ESI-MS studies

There is an ongoing debate whether collision-induced dissociation (CID) of electrosprayed proteins after solution-phase hydrogen/deuterium exchange (HDX) is a viable approach for determining spatially resolved deuteration patterns. This work explores the use of two methods, source-CID and hexapole tandem mass spectrometry (MS/MS) on a quadrupole time-of-flight (Q-TOF) mass spectrometer, for measuring the fragment deuteration levels of regioselectively labeled ubiquitin. Both methods reveal that b-ions exhibit HDX levels significantly below that of the intact protein, whereas several y'' fragments are labeled to a much greater extent. These results are consistent with earlier source-CID data (Akashi, S.; Naito, Y.; Takio, K. Anal. Chem. 1999, 71, 4974-4980). However, the measured b-ion deuteration levels are in disagreement with the known solution-phase behavior of ubiquitin. Partial agreement is observed for y''-ions. Control experiments on homogeneously labeled ubiquitin (having the same average deuteration level at every exchangeable site) result in highly nonuniform fragment HDX levels. In particular, b-ions exhibit deuteration levels significantly below that of intact ubiquitin, thereby mimicking the behavior seen for the regioselectively labeled protein. This effect is likely caused by isotope fractionation during collisional activation, facilitated by the high mobility of charge carriers (scrambling) in the gas phase. The observation that the b-ion labeling behavior is largely independent of the spatial isotope distribution within solution-phase ubiquitin invalidates these ions as reporters of the protein deuteration pattern. This work questions the common practice of interpreting any nonuniformities in fragment deuteration as being indicative of regioselective solution-phase labeling. Artifactual deuterium enrichment or depletion during collisional activation may have contributed to the current lack of consensus as to whether HDX/CID represents a potentially viable tool for measuring solution-phase deuteration patterns.

Impact of proline and aspartic acid residues on the dissociation of intermolecularly crosslinked peptides

The dissociation of intermolecularly crosslinked peptides was evaluated for a series of peptides with proline or aspartic acid residues positioned adjacent to the crosslinking sites (lysine residues). The peptides were crosslinked with either disuccinimidyl suberate (DSS) or disuccinimidyl L-tartrate (DST), and the influence of proline and aspartic acid residues on the fragmentation patterns were investigated for precursor ions with and without a mobile proton. Collisionally activated dissociation (CAD) spectra of aspartic acid-containing crosslinked peptide ions, doubly-charged with both protons sequestered, were dominated by cleavage C-terminal to the Asp residue, similar to that of unmodified peptides. The proline-containing crosslinked peptides exhibited a high degree of internal ion formation, with the resulting product ions having an N-terminal proline residue. Upon dissociation of the doubly-charged crosslinked peptides, twenty to fifty percent of the fragment ion abundance was accounted for by multiple cleavage products. Crosslinked peptides possessing a mobile proton yielded almost a full series of b- and y-type fragment ions, with only proline-directed fragments still observed at high abundances. Interestingly, the crosslinked peptides exhibited a tendency to dissociate at the amide bond C-terminal to the crosslinked lysine residue, relative to the N-terminal side. One could envision updating computer algorithms to include these crosslinker specific product ions--particularly for precursor ions with localized protons--that provide complementary and confirmatory information, to offer more confident identification of both the crosslinked peptides and the location of the crosslink, as well as affording predictive guidelines for interpretation of the product-ion spectra of crosslinked peptides.

Surface-induced dissociation of small molecules, peptides, and non-covalent protein complexes

This article provides a perspective on collisions of ions with surfaces, including surface-induced dissociation (SID) and reactive ion scattering spectrometry (RISS). The content is organized into sections on surface-induced dissociation of small ions, surface characterization of organic thin films by collision of well-characterized ions into surfaces, the use of SID to probe peptide fragmentation, and the dissociation of large non-covalent complexes by SID. Examples are given from the literature with a focus on experiments from the authors' laboratory. The article is not a comprehensive review but is designed to provide the reader with an overview of the types of results possible by collisions of ions into surfaces.

Automated neutral loss and data dependent energy resolved "pseudo MS3" for the targeted identification, characterization and quantitative analysis of methionine- containing peptides

A strategy involving the fixed-charge sulfonium ion derivatization, stable isotope labeling, capillary high- performance liquid chromatography and automated data dependent neutral loss scan mode tandem mass spectrometry (MS/MS) and "pseudo multiple mass spectrometry (MS3)" product ion scans in a triple quadrupole mass spectrometer has been developed for the "targeted" gas-phase identification, characterization and quantitative analysis of low abundance methionine-containing peptides present within complex protein digests. Selective gas-phase "enrichment" and identification is performed via neutral loss scan mode MS/MS, by low energy collision-induced dissociation of the derivatized methionine side chain, resulting in the formation of a single characteristic product ion. Structural characterization of identified peptides is then achieved by automatically subjecting the characteristic neutral loss product ion to further dissociation by data dependent product ion scan mode pseudo MS3 under higher collision energy conditions. Quantitative analysis is achieved by measurement of the abundances of characteristic product ions formed by sequential neutral loss scan mode MS/MS experiments from "light" (12C) and "heavy" (13C) stable isotope encoded fixed-charge derivatized peptides. In contrast to MS-based quantitative analysis strategies, the neutral loss scan mode MS/MS method employed here was able to achieve accurate quantification for individual peptides at levels as low as 100 fmol and at abundance ratios ranging from 0.1 to 10, present within a complex protein digest.

A data-mining scheme for identifying peptide structural motifs responsible for different MS/MS fragmentation intensity patterns

Although tandem mass spectrometry (MS/MS) has become an integral part of proteomics, intensity patterns in MS/MS spectra are rarely weighted heavily in most widely used algorithms because they are not yet fully understood. Here a knowledge mining approach is demonstrated to discover fragmentation intensity patterns and elucidate the chemical factors behind such patterns. Fragmentation intensity information from 28 330 ion trap peptide MS/MS spectra of different charge states and sequences went through unsupervised clustering using a penalized K-means algorithm. Without any prior chemistry assumptions, four clusters with distinctive fragmentation patterns were obtained. A decision tree was generated to investigate peptide sequence motif and charge state status that caused these fragmentation patterns. This data-mining scheme is generally applicable for any large data sets. It bypasses the common prior knowledge constraints and reports on the overall peptide fragmentation behavior. It improves the understanding of gas-phase peptide dissociation and provides a foundation for new or improved protein identification algorithms.

Verification of automated peptide identifications from proteomic tandem mass spectra

Shotgun proteomics yields tandem mass spectra of peptides that can be identified by database search algorithms. When only a few observed peptides suggest the presence of a protein, establishing the accuracy of the peptide identifications is necessary for accepting or rejecting the protein identification. In this protocol, we describe the properties of peptide identifications that can differentiate legitimately identified peptides from spurious ones. The chemistry of fragmentation, as embodied in the 'mobile proton' and 'pathways in competition' models, informs the process of confirming or rejecting each spectral match. Examples of ion-trap and tandem time-of-flight (TOF/TOF) mass spectra illustrate these principles of fragmentation.

Evaluation of the influence of amino acid composition on the propensity for collision-induced dissociation of model peptides using molecular dynamics simulations

The dynamical behavior of model peptides was evaluated with respect to their ability to form internal proton donor-acceptor pairs using molecular dynamics simulations. The proton donor-acceptor pairs are postulated to be prerequisites for peptide bond cleavage resulting in formation of b and y ions during low-energy collision-induced dissociation in tandem mass spectrometry (MS/MS). The simulations for the polyalanine pentamer Ala(5)H(+) were compared with experimental data from energy-resolved surface induced dissociation (SID) studies. The results of the simulation are insightful into the events that likely lead up to the fragmentation of peptides. Nine-mer polyalanine-based model peptides were used to examine the dynamical effect of each of the 20 common amino acids on the probability to form donor-acceptor pairs at labile peptide bonds. A range of probabilities was observed as a function of the substituted amino acid. However, the location of the peptide bond involved in the donor-acceptor pair plays a critical role in the dynamical behavior. This influence of position on the probability of forming a donor-acceptor pair would be hard to predict from statistical analyses on experimental spectra of aggregate, diverse peptides. In addition, the inclusion of basic side chains in the model peptides alters the probability of forming donor-acceptor pairs across the entire backbone. In this case, there are still more ionizing protons than basic residues, but the side chains of the basic amino acids form stable hydrogen bond networks with the peptide carbonyl oxygens and thus act to prevent free access of "mobile protons" to labile peptide bonds. It is clear from the work that the identification of peptides from low-energy CID using automated computational methods should consider the location of the fragmenting bond as well as the amino acid composition.

Mechanisms for the proton mobility-dependent gas-phase fragmentation reactions of S-alkyl cysteine sulfoxide-containing peptide ions

Mechanisms for the gas-phase fragmentation reactions of singly and multiply protonated precursor ions of the model S-alkyl cysteine sulfoxide-containing peptides GAILCGAILK, GAILCGAILR, and VTMGHFCNFGK prepared by reaction with iodomethane, iodoacetamide, iodoacetic acid, acrylamide, or 4-vinylpyridine, followed by oxidation with hydrogen peroxide, as well as peptides obtained from an S-carboxyamidomethylated and oxidized tryptic digest of bovine serum albumin, have been examined using multistage tandem mass spectrometry, hydrogen/deuterium exchange and molecular orbital calculations (at the B3LYP/6-31 + G(d,p) level of theory). Consistent with previous reports, CID-MS/MS of the S-alkyl cysteine sulfoxide-containing peptide ions resulted in the dominant "non-sequence" neutral loss of an alkyl sulfenic acid (XSOH) from the modified cysteine side chains under conditions of low proton mobility, irrespective of the alkylating reagent employed. Dissociation of uniformly deuterated precursor ions of these model peptides determined that the loss of alkyl sulfenic acid in each case occurred via a "charge-remote" five-centered cis-1,2 elimination reaction to yield a dehydroalanine-containing product ion. Similarly, the charge state dependence to the mechanisms and product ion structures for the losses of CO(2), CO(2) + H(2)O and CO(2) + CH(2)O from S-carboxymethyl cysteine sulfoxide-containing peptides, and for the losses of CH(2)CHCONH(2) and CH(2)CHC(5)H(4)N, respectively, from S-amidoethyl and S-pyridylethyl cysteine sulfoxide-containing peptide ions have also been determined. The results from these studies indicate that both the proton mobility of the peptide precursor ion and the nature of the S-alkyl substituent have a significant influence on the abundances and charge states of the product ions resulting from the various competing fragmentation pathways.

Methods, algorithms and tools in computational proteomics: A practical point of view

Computational MS-based proteomics is an emerging field arising from the demand of high throughput analysis in numerous large-scale experimental proteomics projects. The review provides a broad overview of a number of computational tools available for data analysis of MS-based proteomics data and gives appropriate literature references to detailed description of algorithms. The review provides, to some extent, discussion of algorithms and methods for peptide and protein identification using MS data, quantitative proteomics, and data storage. The hope is that it will stimulate discussion and further development in computational proteomics. Computational proteomics deserves more scientific attention. There are far fewer computational tools and methods available for proteomics compared to the number of microarray tools, despite the fact that data analysis in proteomics is much more complex than microarray analysis.

Improving fragmentation of poorly fragmenting peptides and phosphopeptides during collision-induced dissociation by malondialdehyde modification of arginine residues

Despite significant technological and methodological advancements in peptide sequencing by mass spectrometry, analyzing peptides that exhibit only poor fragmentation upon collision-induced dissociation (CID) remains a challenge. A major cause for unfavorable fragmentation is insufficient proton 'mobility' due to charge localization at strongly basic sites, in particular, the guanidine group of arginine. We have recently demonstrated that the conversion of the guanidine group of the arginine side chain by malondialdehyde (MDA) is a convenient tool to reduce the basicity of arginine residues and can have beneficial effects for peptide fragmentation. In the present work, we have focused on peptides that typically yield incomplete sequence information in CID-MS/MS experiments. Energy-resolved tandem MS experiments were carried out on angiotensins and arginine-containing phosphopeptides to study in detail the influence of the modification step on the fragmentation process. MDA modification dramatically improved the fragmentation behavior of peptides that exhibited only one or two dominant cleavages in their unmodified form. Neutral loss of phosphoric acid from phosphopeptides carrying phosphoserine and threonine residues was significantly reduced in favor of a higher abundance of fragment ions. Complementary experiments were carried out on three different instrumental platforms (triple-quadrupole, 3D ion trap, quadrupole-linear ion trap hybrid) to ascertain that the observation is a general effect.

A novel salt bridge mechanism highlights the need for nonmobile proton conditions to promote disulfide bond cleavage in protonated peptides under low-energy collisional activation

The gas-phase fragmentation mechanisms of small models for peptides containing intermolecular disulfide links have been studied using a combination of tandem mass spectrometry experiments, isotopic labeling, structural labeling, accurate mass measurements of product ions, and theoretical calculations (at the MP2/6-311 + G(2d,p)//B3LYP/3-21G(d) level of theory). Cystine and its C-terminal derivatives were observed to fragment via a range of pathways, including loss of neutral molecules, amide bond cleavage, and S-S and C-S bond cleavages. Various mechanisms were considered to rationalize S-S and C-S bond cleavage processes, including charge directed neighboring group processes and nonmobile proton salt bridge mechanism. Three low-energy fragmentation pathways were identified from theoretical calculations on cystine N-methyl amide: (1) S-S bond cleavage dominated by a neighboring group process involving the C-terminal amide N to form either a protonated cysteine derivative or protonated sulfenyl amide product ion (44.3 kcal mol(-1)); (2) C-S bond cleavage via a salt bridge mechanism, involving abstraction of the alpha-hydrogen by the N-terminal amino group to form a protonated thiocysteine derivative (35.0 kcal mol(-1)); and (3) C-S bond cleavage via a Grob-like fragmentation process in which the nucleophilic N-terminal amino group forms a protonated dithiazolidine (57.9 kcal mol(-1)). Interestingly, C-S bond cleavage by neighboring group processes have high activation barriers (63.1 kcal mol(-1)) and are thus not expected to be accessible during low-energy CID experiments. In comparison to the energetics of simple amide bond cleavage, these S-S and C-S bond cleavage reactions are higher in energy, which helps rationalize why bond cleavage processes involving the disulfide bond are rarely observed for low-energy CID of peptides with mobile proton(s) containing intermolecular disulfide bonds. On the other hand, the absence of a mobile proton appears to "switch on" disulfide bond cleavage reactions, which can be rationalized by the salt bridge mechanism. This potentially has important ramifications in explaining the prevalence of disulfide bond cleavage in singly protonated peptides under MALDI conditions.

Specific UV photodissociation of tyrosyl-containing peptides in multistage mass spectrometry

UV photodissociation (UVPD) at 262 nm has been carried out on protonated tyrosyl-containing peptides formed by trypsin digestion of apo-transferrin. Under UVPD, the main event is the fragmentation of the C(alpha)-C(beta) bond of the tyrosyl residues leading to a radical ion 107 Da below the precursor ion. The dissociation rate of this specific cleavage appears to be strongly dependent on the peptide sequence and is more prominent on the singly protonated species than on the doubly protonated state. The fragmentation spectra resulting from collisional activation of the protonated even-electron native peptides and of the odd-electron radical species prepared by UVPD are dominated by y-type backbone cleavages. A comparison of their respective y-ion pattern shows complementarities since the combination of both increases the sequence coverage of the peptide sequence. The specific detection of the neutral loss of 107 Da from peptides witnesses the content of at least one tyrosyl residue and, though preliminary, is proposed as a potential new filtering strategy during protein database searching.

Development and validation of a spectral library searching method for peptide identification from MS/MS

A notable inefficiency of shotgun proteomics experiments is the repeated rediscovery of the same identifiable peptides by sequence database searching methods, which often are time-consuming and error-prone. A more precise and efficient method, in which previously observed and identified peptide MS/MS spectra are catalogued and condensed into searchable spectral libraries to allow new identifications by spectral matching, is seen as a promising alternative. To that end, an open-source, functionally complete, high-throughput and readily extensible MS/MS spectral searching tool, SpectraST, was developed. A high-quality spectral library was constructed by combining the high-confidence identifications of millions of spectra taken from various data repositories and searched using four sequence search engines. The resulting library consists of over 30,000 spectra for Saccharomyces cerevisiae. Using this library, SpectraST vastly outperforms the sequence search engine SEQUEST in terms of speed and the ability to discriminate good and bad hits. A unique advantage of SpectraST is its full integration into the popular Trans Proteomic Pipeline suite of software, which facilitates user adoption and provides important functionalities such as peptide and protein probability assignment, quantification, and data visualization. This method of spectral library searching is especially suited for targeted proteomics applications, offering superior performance to traditional sequence searching.

Neuropeptidomics strategies for specific and sensitive identification of endogenous peptides

A new approach using targeted sequence collections has been developed for identifying endogenous peptides. This approach enables a fast, specific, and sensitive identification of endogenous peptides. Three different sequence collections were constituted in this study to mimic the peptidomic samples: SwePep precursors, SwePep peptides, and SwePep predicted. The searches for neuropeptides performed against these three sequence collections were compared with searches performed against the entire mouse proteome, which is commonly used to identify neuropeptides. These four sequence collections were searched with both Mascot and X! Tandem. Evaluation of the sequence collections was achieved using a set of manually identified and previously verified peptides. By using the three new sequence collections, which more accurately mimic the sample, 3 times as many peptides were significantly identified, with a false-positive rate below 1%, in comparison with the mouse proteome. The new sequence collections were also used to identify previously uncharacterized peptides from brain tissue; 27 previously uncharacterized peptides and potentially bioactive neuropeptides were identified. These novel peptides are cleaved from the peptide precursors at sites that are characteristic for prohormone convertases, and some of them have post-translational modifications that are characteristic for neuropeptides. The targeted protein sequence collections for different species are publicly available for download from SwePep.

Statistical characterization of the charge state and residue dependence of low-energy CID peptide dissociation patterns

Data mining was performed on 28 330 unique peptide tandem mass spectra for which sequences were assigned with high confidence. By dividing the spectra into different sets based on structural features and charge states of the corresponding peptides, chemical interactions involved in promoting specific cleavage patterns in gas-phase peptides were characterized. Pairwise fragmentation maps describing cleavages at all Xxx-Zzz residue combinations for b and y ions reveal that the difference in basicity between Arg and Lys results in different dissociation patterns for singly charged Arg- and Lys-ending tryptic peptides. While one dominant protonation form (proton localized) exists for Arg-ending peptides, a heterogeneous population of different protonated forms or more facile interconversion of protonated forms (proton partially mobile) exists for Lys-ending peptides. Cleavage C-terminal to acidic residues dominates spectra from singly charged peptides that have a localized proton and cleavage N-terminal to Pro dominates those that have a mobile or partially mobile proton. When Pro is absent from peptides that have a mobile or partially mobile proton, cleavage at each peptide bond becomes much more prominent. Whether the above patterns can be found in b ions, y ions, or both depends on the location of the proton holder(s) in multiply protonated peptides. Enhanced cleavages C-terminal to branched aliphatic residues (Ile, Val, Leu) are observed in both b and y ions from peptides that have a mobile proton, as well as in y ions from peptides that have a partially mobile proton; enhanced cleavages N-terminal to these residues are observed in b ions from peptides that have a partially mobile proton. Statistical tools have been designed to visualize the fragmentation maps and measure the similarity between them. The pairwise cleavage patterns observed expand our knowledge of peptide gas-phase fragmentation behaviors and may be useful in algorithm development that employs improved models to predict fragment ion intensities.

The in vivo phosphorylation sites of rat brain dynamin I

Dynamin I (dynI) is phosphorylated in synaptosomes at Ser(774) and Ser(778) by cyclin-dependent kinase 5 to regulate recruitment of syndapin I for synaptic vesicle endocytosis, and in PC12 cells on Ser(857). Hierarchical phosphorylation of Ser(774) precedes phosphorylation of Ser(778). In contrast, Thr(780) phosphorylation by cdk5 has been reported as the sole site (Tomizawa, K., Sunada, S., Lu, Y. F., Oda, Y., Kinuta, M., Ohshima, T., Saito, T., Wei, F. Y., Matsushita, M., Li, S. T., Tsutsui, K., Hisanaga, S. I., Mikoshiba, K., Takei, K., and Matsui, H. (2003) J. Cell Biol. 163, 813-824). To resolve the discrepancy and to better understand the biological roles of dynI phosphorylation, we undertook a systematic identification of all phosphorylation sites in rat brain nerve terminal dynI. Using phosphoamino acid analysis, exclusively phospho-serine residues were found. Thr(780) phosphorylation was not detectable. Mutation of Ser(774), Ser(778), and Thr(780) confirmed that Thr(780) phosphorylation is restricted to in vitro conditions. Mass spectrometry of (32)P-labeled phosphopeptides separated by two-dimensional mapping revealed seven in vivo phosphorylation sites: Ser(774), Ser(778), Ser(822), Ser(851), Ser(857), Ser(512), and Ser(347). Quantification of (32)P radiation in each phosphopeptide showed that Ser(774) and Ser(778) were the major sites (up to 69% of the total), followed by Ser(851) and Ser(857) (12%), and Ser(853) (2%). Phosphorylation of Ser(851) and Ser(857) was restricted to the long tail splice variant dynIxa and was not hierarchical. Co-purified, (32)P-labeled dynIII was phosphorylated at Ser(759), Ser(763), and Ser(853). Ser(853) is homologous to Ser(851) in dynIxa. The results identify all major and several minor phosphorylation sites in dynI and provide the first measure of their relative abundance and relative responses to depolarization. The multiple phospho-sites suggest subtle regulation of synaptic vesicle endocytosis by new protein kinases and new protein-protein interactions. The homologous dynI and dynIII phosphorylation indicates a high mechanistic similarity. The results suggest a unique role for the long splice variants of dynI and dynIII in nerve terminals.