Evaluation of front-end higher energy collision-induced dissociation on a benchtop dual-pressure linear ion trap mass spectrometer for shotgun proteomics

We report the implementation of front-end higher energy collision-induced dissociation (fHCD) on a benchtop dual-pressure linear ion trap. Software and hardware modifications were employed, described in detail vide-infra, to allow isolated ions to undergo collisions with ambient gas molecules in an intermediate multipole (q00) of the instrument. Results comparing the performance of fHCD and resonance excitation collision-induced dissociation (RE-CID) in terms of injection time, total number of scans, efficiency, mass measurement accuracy (MMA), unique peptide identifications, and spectral quality of labile modified peptides are presented. fHCD is approximately 23% as efficient as RE-CID, and depending on the search algorithm, it identifies 6.6% more or 15% less peptides (q < 0.01) from a soluble whole-cell lysate ( Caenorhabditis elegans ) than RE-CID using Mascot or Sequest search algorithms, respectively. fHCD offers a clear advantage for the analysis of phosphorylated and glycosylated (O-GlcNAc) peptides as the average cross-correlation score (XCorr) for spectra using fHCD was statistically greater (p < 0.05) than for spectra collected using RE-CID.     

Reduction in database search space by utilization of amino acid composition information from electron transfer dissociation and higher-energy collisional dissociation mass spectra

With high-mass accuracy and consecutively obtained electron transfer dissociation (ETD) and higher-energy collisional dissociation (HCD) tandem mass spectrometry (MS/MS), reliable (≥97%) and sensitive fragment ions have been extracted for identification of specific amino acid residues in peptide sequences. The analytical benefit of these specific amino acid composition (AAC) ions is to restrict the database search space and provide identification of peptides with higher confidence and reduced false negative rates. The 6706 uniquely identified peptide sequences determined with a conservative Mascot score of >30 were used to characterize the AAC ions. The loss of amino acid side chains (small neutral losses, SNLs) from the charge reduced peptide radical cations was studied using ETD. Complementary AAC information from HCD spectra was provided by immonium ions. From the ETD/HCD mass spectra, 5162 and 6720 reliable SNLs and immonium ions were successfully extracted, respectively. Automated application of the AAC information during database searching resulted in an average 3.5-fold higher confidence level of peptide identification. In addition, 4% and 28% more peptides were identified above the significance level in a standard and extended search space, respectively.     

Characterization of strategies for obtaining confident identifications in bottom-up proteomics measurements using hybrid FTMS instruments

Hybrid FTMS instruments, such as the LTQ-FT and LTQ-Orbitrap, are capable of generating high duty cycle linear ion trap MS/MS data along with high resolution information without compromising the overall throughput of measurements. Combined with online LC separations, these instruments provide powerful capabilities for proteomics research. In the present work, we explore three alternative strategies for high throughput proteomics measurements using hybrid FTMS instruments. Our accurate mass and time tag (AMT tag) strategy enables identification of thousands of peptides in a single LC-FTMS analysis by comparing accurate molecular mass and LC elution time information from the analysis to a reference database. An alternative strategy considered here, termed accurate precursor mass filter (APMF), employs linear ion trap (low resolution) MS/MS identifications generated by an appropriate search engine, such as SEQUEST, refined with high resolution precursor ion data obtained from FTMS mass spectra. The APMF results can be additionally filtered using the LC elution time information from the AMT tag database, which constitutes a precursor mass and time filter (PMTF), the third approach implemented in this study. Both the APMF and the PMTF approaches are evaluated for coverage and confidence of peptide identifications and contrasted with the AMT tag strategy. The commonly used decoy database method and an alternative method based on mass accuracy histograms were used to reliably quantify identification confidence, revealing that both methods yielded similar results. Comparison of the AMT, APMF and PMTF approaches indicates that the AMT tag approach is preferential for studies desiring a highest achievable number of identified peptides. In contrast, the APMF approach does not require an AMT tag database and provides a moderate level of peptide coverage combined with acceptable confidence values of approximately 99%. The PMTF approach yielded a significantly better peptide identification confidence, >99.9%, that essentially excluded any false peptide identifications. Since AMT tag databases that exclude incorrect identifications are desirable, this study points to the value of a multipass APMF approach to generate AMT tag databases, which are then validated using the PMTF approach. The resulting compact, high quality databases can then be used for subsequent high-throughput, high peptide coverage AMT tag studies.     

Submicrosecond surface-induced dissociation of peptide ions in a MALDI TOF MS

Surface-induced dissociation (SID) has been implemented in a matrix-assisted laser desorption/ionization time-of-flight mass spectrometer (MALDI TOF MS), allowing production of tandem mass spectrometric information for peptide ions (MALDI TOF SID TOF). The instrument retains the standard operational modes such as the reflectron monitoring of the MALDI-generated intact ions and postsource decay. We show through ion trajectory simulations and experimental results that implementing SID in a commercial MALDI TOF spectrometer is feasible and that the SID products in this instrument fall in an observation time frame that allows the specific detection of fast-fragmentation channels. The instrument design, pulse timing sequence, and high-voltage electronics together with SID spectra of MALDI-generated peptide ions are presented. Standard peptides such as YGGFLR, angiotensin III, fibrinopeptide A, and des-Arg1-bradykinin were dissociated by means of hyperthermal collisions with a gold surface coated with a self-assembled monolayer of 2-(perfluorodecyl)ethanethiol. With the extraction fields and the short observation times used, the spectra obtained show intense low-mass ion signals such as immonium, b2, b3, and y2 ions. TOF data analysis involved matching simulated and experimental flight times and indicates that the observed fragments are produced at approximately 250 ns after the precursor ion collides with the surface. This submicrosecond gas-phase fragmentation time frame is complementary to the observation time frame of existing SID spectrometers, which are on the order of 10 micros for tandem quadrupoles and are larger than a few milliseconds for SID implemented in Fourier transform ion cyclotron resonance spectrometers.     

Proteome-wide identification of proteins and their modifications with decreased ambiguities and improved false discovery rates using unique sequence tags

Identifying proteins and their modification states and with known levels of confidence remains as a significant challenge for proteomics. Random or decoy peptide databases are increasingly being used to estimate the false discovery rate (FDR), e.g., from liquid chromatography-tandem mass spectrometry (LC-MS/MS) analyses of tryptic digests. We show that this approach can significantly underestimate the FDR and describe an approach for more confident protein identifications that uses unique partial sequences derived from a combination of database searching and amino acid residue sequencing using high-accuracy MS/MS data. Applied to a Saccharomyces cerevisiae tryptic digest, the approach provided 3 132 confident peptide identifications ( approximately 5% modified in some fashion), covering 575 proteins with an estimated zero FDR. The conventional approach provided 3 359 peptide identifications and 656 proteins with 0.3% FDR based upon a decoy database analysis. However, the present approach revealed approximately 5% of the 3 359 identifications to be incorrect and many more as potentially ambiguous (e.g., due to not considering certain amino acid substitutions and modifications). In addition, 677 peptides and 39 proteins were identified that had been missed by conventional analysis, including nontryptic peptides, peptides with a variety of expected/unexpected chemical modifications, known/unknown post-translational modifications, single nucleotide polymorphisms or gene encoding errors, and multiple modifications of individual peptides.     

Enhanced ionization of phosphorylated peptides during MALDI TOF mass spectrometry

Although alpha-cyano-4-hydroxycinnamic acid functions as an excellent matrix for the analysis of most peptides using matrix-assisted laser desorption/ionization time-of-flight (MALDI TOF) mass spectrometry, the ionization of phosphorylated peptides is usually suppressed by nonphosphorylated peptides. As an alternative matrix, 2',4',6'-trihydroxyacetophenone (THAP) with diammonium citrate was found to overcome this problem for the MALDI TOF mass spectrometric analysis of proteolytic digests of phosphorylated proteins. Specifically, the abundances of phosphorylated peptides in tryptic digests of bovine beta-casein and protein kinase C (PKC)-treated mouse cardiac troponin I were enhanced more than 10-fold using THAP during positive ion MALDI TOF mass spectrometry. The protonated molecules of phosphorylated peptides were sufficiently abundant that postsource decay TOF mass spectrometry was used to confirm the number of phosphate groups in each peptide. Finally, tryptic digestion followed by analysis using MALDI TOF mass spectrometry with THAP as the matrix facilitated the identification of a unique phosphorylation site in PKC-treated troponin I.     

Analysis of peptide MS/MS spectra from large-scale proteomics experiments using spectrum libraries

A widespread proteomics procedure for characterizing a complex mixture of proteins combines tandem mass spectrometry and database search software to yield mass spectra with identified peptide sequences. The same peptides are often detected in multiple experiments, and once they have been identified, the respective spectra can be used for future identifications. We present a method for collecting previously identified tandem mass spectra into a reference library that is used to identify new spectra. Query spectra are compared to references in the library to find the ones that are most similar. A dot product metric is used to measure the degree of similarity. With our largest library, the search of a query set finds 91% of the spectrum identifications and 93.7% of the protein identifications that could be made with a SEQUEST database search. A second experiment demonstrates that queries acquired on an LCQ ion trap mass spectrometer can be identified with a library of references acquired on an LTQ ion trap mass spectrometer. The dot product similarity score provides good separation of correct and incorrect identifications.     

The characteristics of peptide collision-induced dissociation using a high-performance MALDI-TOF/TOF tandem mass spectrometer

A new matrix-assisted laser desorption/ionization (MALDI) time-of-flight/time-of-flight (TOF/TOF) high-resolution tandem mass spectrometer is described for sequencing peptides. This instrument combines the advantages of high sensitivity for peptide analysis associated with MALDI and comprehensive fragmentation information provided by high-energy collision-induced dissociation (CID). Unlike the postsource decay technique that is widely used with MALDI-TOF instruments and typically combines as many as 10 separate spectra of different mass regions, this instrument allows complete fragment ion spectra to be obtained in a single acquisition at a fixed reflectron voltage. To achieve optimum resolution and focusing over the whole mass range, it may be desirable to acquire and combine three separate sections. Different combinations of MALDI matrix and collision gas determine the amount of internal energy deposited by the MALDI process and the CID process, which provide control over the extent and nature of the fragment ions observed. Examples of peptide sequencing are presented that identify sequence-dependent features and demonstrate the value of modifying the ionization and collision conditions to optimize the spectral information.     

Statistical models for protein validation using tandem mass spectral data and protein amino acid sequence databases

The purpose of this work is to develop and verify statistical models for protein identification using peptide identifications derived from the results of tandem mass spectral database searches. Recently we have presented a probabilistic model for peptide identification that uses hypergeometric distribution to approximate fragment ion matches of database peptide sequences to experimental tandem mass spectra. Here we apply statistical models to the database search results to validate protein identifications. For this we formulate the protein identification problem in terms of two independent models, two-hypothesis binomial and multinomial models, which use the hypergeometric probabilities and cross-correlation scores, respectively. Each database search result is assumed to be a probabilistic event. The Bernoulli event has two outcomes: a protein is either identified or not. The probability of identifying a protein at each Bernoulli event is determined from relative length of the protein in the database (the null hypothesis) or the hypergeometric probability scores of the protein's peptides (the alternative hypothesis). We then calculate the binomial probability that the protein will be observed a certain number of times (number of database matches to its peptides) given the size of the data set (number of spectra) and the probability of protein identification at each Bernoulli event. The ratio of the probabilities from these two hypotheses (maximum likelihood ratio) is used as a test statistic to discriminate between true and false identifications. The significance and confidence levels of protein identifications are calculated from the model distributions. The multinomial model combines the database search results and generates an observed frequency distribution of cross-correlation scores (grouped into bins) between experimental spectra and identified amino acid sequences. The frequency distribution is used to generate p-value probabilities of each score bin. The probabilities are then normalized with respect to score bins to generate normalized probabilities of all score bins. A protein identification probability is the multinomial probability of observing the given set of peptide scores. To reduce the effect of random matches, we employ a marginalized multinomial model for small values of cross-correlation scores. We demonstrate that the combination of the two independent methods provides a useful tool for protein identification from results of database search using tandem mass spectra. A receiver operating characteristic curve demonstrates the sensitivity and accuracy level of the approach. The shortcomings of the models are related to the cases when protein assignment is based on unusual peptide fragmentation patterns that dominate over the model encoded in the peptide identification process. We have implemented the approach in a program called PROT_PROBE.     

Bacillus spore identification via proteolytic peptide mapping with a miniaturized MALDI TOF mass spectrometer

An approach is tested here as a rapid screening method for Bacillus spore species employing bacterial peptide analysis with a miniaturized MALDI TOF mass spectrometer. A limited set of tryptic peptides was generated in situ following selective solubilization of the small, acid-soluble protein family (SASP) from spore samples on the MALDI sample holder. To facilitate species identification, a compact database was created comprising masses of the tryptic cleavage products generated in silico from all Bacillus and Clostridium SASPs whose sequences are available in public databases. Experimental measurements were matched against the custom-made database, and a published statistical model was then used to evaluate the probability of false identifications.     

A statistical model for identifying proteins by tandem mass spectrometry

A statistical model is presented for computing probabilities that proteins are present in a sample on the basis of peptides assigned to tandem mass (MS/MS) spectra acquired from a proteolytic digest of the sample. Peptides that correspond to more than a single protein in the sequence database are apportioned among all corresponding proteins, and a minimal protein list sufficient to account for the observed peptide assignments is derived using the expectation-maximization algorithm. Using peptide assignments to spectra generated from a sample of 18 purified proteins, as well as complex H. influenzae and Halobacterium samples, the model is shown to produce probabilities that are accurate and have high power to discriminate correct from incorrect protein identifications. This method allows filtering of large-scale proteomics data sets with predictable sensitivity and false positive identification error rates. Fast, consistent, and transparent, it provides a standard for publishing large-scale protein identification data sets in the literature and for comparing the results obtained from different experiments.     

Fragmentation characteristics of collision-induced dissociation in MALDI TOF/TOF mass spectrometry

The identification of proteins by tandem mass spectrometry relies on knowledge of the products produced by collision-induced dissociation of peptide ions. Most previous work has focused on fragmentation statistics for ion trap systems. We analyzed fragmentation in MALDI TOF/TOF mass spectrometry, collecting statistics using a curated set of 2459 MS/MS spectra and applying bootstrap resampling to assess confidence intervals. We calculated the frequency of 18 product ion types, the correlation between both mass and intensity with ion type, the dependence of amide bond breakage on the residues surrounding the cleavage site, and the dependence of product ion detection on residues not adjacent to the cleavage site. The most frequently observed were internal ions, followed by y ions. A strong correlation between ion type and the mass and intensity of its peak was observed, with b and y ions producing the most intense and highest mass peaks. The amino acids P, W, D, and R had a strong effect on amide bond cleavage when situated next to the breakage site, whereas residues including I, K, and H had a strong effect on product ion observation when located in the peptide but not adjacent to the cleavage site, a novel observation.     

Top-down proteomics for rapid identification of intact microorganisms

We apply MALDI-TOF/TOF mass spectrometry for the rapid and high-confidence identification of intact Bacillus spore species. In this method, fragment ion spectra of whole (undigested) protein biomarkers are obtained without the need for biomarker prefractionation, digestion, separation, and cleanup. Laser-induced dissociation (unimolecular decay) of higher mass (>5 kDa) precursor ions in the first TOF analyzer is followed by reacceleration and subsequent high-resolution mass analysis of the resulting sequence-specific fragments in a reflectron TOF analyzer. In-house-developed software compares an experimental MS/MS spectrum with in silico-generated tandem mass spectra from all protein sequences, contained in a proteome database, with masses within a preset range around the precursor ion mass. A p-value, the probability that the observed matches between experimental and in silico-generated fragments occur by chance, is computed and used to rank the database proteins to identify the most plausible precursor protein. By inference, the source microorganism is then identified on the basis of the identification of individual, unique protein biomarker(s). As an example, intact Bacillus atrophaeus and Bacillus cereus spores, either pure or in mixtures, were unambiguously identified by this method after fragmenting and identifying individual small, acid-soluble spore proteins that are specific for each species. Factors such as experimental mass accuracy and number of detected fragment ions, precursor ion charge state, and sequence-specific fragmentation have been evaluated with the objective of extending the approach to other microorganisms. MALDI-TOF/TOF-MS in a lab setting is an efficient tool for in situ confirmation/verification of initial microorganism identification.     

Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search

We present a statistical model to estimate the accuracy of peptide assignments to tandem mass (MS/MS) spectra made by database search applications such as SEQUEST. Employing the expectation maximization algorithm, the analysis learns to distinguish correct from incorrect database search results, computing probabilities that peptide assignments to spectra are correct based upon database search scores and the number of tryptic termini of peptides. Using SEQUEST search results for spectra generated from a sample of known protein components, we demonstrate that the computed probabilities are accurate and have high power to discriminate between correctly and incorrectly assigned peptides. This analysis makes it possible to filter large volumes of MS/MS database search results with predictable false identification error rates and can serve as a common standard by which the results of different research groups are compared.     

Evaluation of data analysis strategies for improved mass spectrometry-based phosphoproteomics

Here we describe a set of enhanced data processing and filtering methods to improve significance and coverage of phosphopeptide identifications by mass spectrometry. We demonstrate that for samples of limited complexity, spectra-based estimation of false discovery rates will lead to overprediction of confidently identified phosphorylated peptides due to a bias caused by multiple fragmentation of highly abundant peptide species. We further provide evidence that fragmentation of abundant peptides at the tails of their chromatographic peaks is a major source for false positive peptide matches and that overall confidence in phosphopeptide identifications can be improved by a chromatographic peak-based aggregation scheme, intensity rank-based neutral loss and optimized mass error filters. When replicate runs of a standard sample were performed using different fragmentation techniques on an Orbitrap mass spectrometer we observed improvements of 7-31% in phosphopeptide coverage depending on the fragmentation method and the desired false discovery rate.     

Automated gain control ion funnel trap for orthogonal time-of-flight mass spectrometry

Time-of-flight mass spectrometry (TOF MS) is increasingly used in proteomics research. Herein, we report on the development and characterization of a TOF MS instrument with improved sensitivity equipped with an electrodynamic ion funnel trap (IFT) that employs an automated gain control (AGC) capability. The IFT-TOF MS was coupled to a reversed-phase capillary liquid chromatography (RPLC) separation and evaluated in experiments with complex proteolytic digests. When applied to a global tryptic digest of Shewanella oneidensis proteins, an order-of-magnitude increase in sensitivity compared to that of the conventional continuous mode of operation was achieved due to efficient ion accumulation prior to TOF MS analysis. As a result of this sensitivity improvement and related improvement in mass measurement accuracy, the number of unique peptides identified in the AGC-IFT mode was 5-fold greater than that obtained in the continuous mode.     

Automatic identification of proteins with a MALDI-quadrupole ion trap mass spectrometer.

A matrix-assisted laser desorption/ionization (MALDI) ion trap mass spectrometer of new design is described. The instrument is based on a commercial Finnegan LCQ ion trap mass spectrometer to which we have added a MALDI ion source that incorporates a sample stage constructed from a compact disk and a new ion transmission interface. The ion interface contains a quadrupole ion guide installed between the skimmer and the octapoles of the original instrument configuration, allowing for operation in both MALDI and electrospray ionization modes. The instrument has femtomole sensitivity for peptides and is capable of collecting a large number of MALDI MS and MALDI MS/MS spectra within a short period of time. The MALDI source produces reproducible signals for 10(4)-10(5) laser pulses, enabling us to collect MS/MS spectra from all the discernible singly charged ions detected in a MS peptide map. We describe the different modes of the instrument operation and algorithms for data processing as applied to challenging protein identification problems.     

In situ sequencing of peptides from biological tissues and single cells using MALDI-PSD/CID analysis

The ability to directly sequence peptides from biological cells using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) with postsource decay (PSD) and collision-induced dissociation (CID) fragment ion mass analysis is explored. Three different sample preparation methods are described for sequencing peptides in tissue samples and in single neurons from the invertebrate model Aplysia californica. To characterize peptides from the atrial gland, MALDI-PSD/CID is applied directly to a tissue blot covered with the matrix alpha-cyano-4-hydroxycinnamic acid (CHCA). The resulting fragment ions combined with database searching confirm the structure of several novel peptides encoded by egg-laying hormone genes. Moreover, MS profiling of a single unidentified neuron detects peptides with molecular weights of myomodulins C and E; this assignment is confirmed using MALDI-PSD with the matrix 2,5-dihydroxybenzoic acid (DHB). DHB does not always provide adequate fragmentation for PSD experiments; therefore, a unique dual-matrix sampling method, employing both DHB and CHCA, is developed to directly sequence a decapeptide from a single cerebral ganglion B cell. Mass accuracy of fragment ions from cellular samples is typical for the instrument employed and is not deleteriously affected by the morphology and complexity of the samples.     

Impact of ion trap tandem mass spectra variability on the identification of peptides

Peptide identification based on tandem mass spectrometry and database searching algorithms has become one of the central technologies in proteomics. At the heart of this technology is the ability to reproducibly acquire high-quality tandem mass spectra for database interrogation. The variability in tandem mass spectra generation is often assumed to be minimal, and peptide identifications are typically based on a single tandem mass spectrum. In this paper, we characterize the variance of scores derived from replicate tandem mass spectra using several database search algorithms and demonstrate the effects of spectral variability on the correct identification of peptides. We show that the variance associated with the collection of tandem mass spectra can be substantial leading to sizable errors in search algorithm scores ( approximately 5-25% RSD) and ultimately incorrect assignments. Processing strategies are discussed to minimize the impact of tandem mass spectra variability on peptide identification.