Systematic evaluation of alternating CID and ETD fragmentation for phosphorylated peptides

CID has become a routine method for fragmentation of peptides in shotgun proteomics, whereas electron transfer dissociation (ETD) has been described as a preferred method for peptides carrying labile PTMs. Though both of these fragmentation techniques have their obvious advantages, they also have their own drawbacks. By combining data from CID and ETD fragmentation, some of these disadvantages can potentially be overcome because of the complementarity of fragment ions produced. To evaluate alternating CID and ETD fragmentation, we analyzed a complex mixture of phosphopeptides on an LTQ-Orbitrap mass spectrometer. When the CID and ETD-derived spectra were searched separately, we observed 2504, 491, 2584, and 3249 phosphopeptide-spectrum matches from CID alone, ETD alone, decision tree-based CID/ETD, and alternating CID and ETD, respectively. Combining CID and ETD spectra prior to database searching should, intuitively, be superior to either method alone. However, when spectra from the alternating CID and ETD method were merged prior to database searching, we observed a reduction in the number of phosphopeptide-spectrum matches. The poorer identification rates observed after merging CID and ETD spectra are a reflection of a lack of optimized search algorithms for carrying out such searches and perhaps inherent weaknesses of this approach. Thus, although alternating CID and ETD experiments for phosphopeptide identification are desirable for increasing the confidence of identifications, merging spectra prior to database search has to be carefully evaluated further in the context of the various algorithms before adopting it as a routine strategy.     

Application of electron transfer dissociation (ETD) for the analysis of posttranslational modifications

Despite major advantages in the field of proteomics, the analysis of PTMs still poses a major challenge; thus far, preventing insights into the role and regulation of protein networks. Additionally, top-down sequencing of proteins is another powerful approach to reveal comprehensive information for biological function. A commonly used fragmentation technique in MS-based peptide sequencing is CID. As CID often fails in PTM-analysis and performs best on doubly-charged, short and middle-sized peptides, confident peptide identification may be hampered. A newly developed fragmentation technique, namely electron transfer dissociation (ETD), supports both, PTM- and top-down analysis, and generally results in more confident identification of long, highly charged or modified peptides. The following review presents the theoretical background of ETD and its technical implementation in mass analyzers. Furthermore, current improvements of ETD and approaches for the PTM-analysis and top-down sequencing are introduced. Alternating both fragmentation techniques, ETD and CID, increases the amount of information derived from peptide fragmentation, thereby enhancing both, peptide sequence coverage and the confidence of peptide and protein identification.     

The utility of ETD mass spectrometry in proteomic analysis

Mass spectrometry has played an integral role in the identification of proteins and their post-translational modifications (PTM). However, analysis of some PTMs, such as phosphorylation, sulfonation, and glycosylation, is difficult with collision-activated dissociation (CAD) since the modification is labile and preferentially lost over peptide backbone fragmentation, resulting in little to no peptide sequence information. The presence of multiple basic residues also makes peptides exceptionally difficult to sequence by conventional CAD mass spectrometry. Here we review the utility of electron transfer dissociation (ETD) mass spectrometry for sequence analysis of post-translationally modified and/or highly basic peptides. Phosphorylated, sulfonated, glycosylated, nitrosylated, disulfide bonded, methylated, acetylated, and highly basic peptides have been analyzed by CAD and ETD mass spectrometry. CAD fragmentation typically produced spectra showing limited peptide backbone fragmentation. However, when these peptides were fragmented using ETD, peptide backbone fragmentation produced a complete or almost complete series of ions and thus extensive peptide sequence information. In addition, labile PTMs remained intact. These examples illustrate the utility of ETD as an advantageous tool in proteomic research by readily identifying peptides resistant to analysis by CAD. A further benefit is the ability to analyze larger, non-tryptic peptides, allowing for the detection of multiple PTMs within the context of one another.     

Improved peptide identification by targeted fragmentation using CID, HCD and ETD on an LTQ-Orbitrap Velos

Over the past decade peptide sequencing by collision induced dissociation (CID) has become the method of choice in mass spectrometry-based proteomics. The development of alternative fragmentation techniques such as electron transfer dissociation (ETD) has extended the possibilities within tandem mass spectrometry. Recent advances in instrumentation allow peptide fragment ions to be detected with high speed and sensitivity (e.g., in a 2D or 3D ion trap) or at high resolution and high mass accuracy (e.g., an Orbitrap or a ToF). Here, we describe a comprehensive experimental comparison of using ETD, ion-trap CID, and beam type CID (HCD) in combination with either linear ion trap or Orbitrap readout for the large-scale analysis of tryptic peptides. We investigate which combination of fragmentation technique and mass analyzer provides the best performance for the analysis of distinct peptide populations such as N-acetylated, phosphorylated, and tryptic peptides with up to two missed cleavages. We found that HCD provides more peptide identifications than CID and ETD for doubly charged peptides. In terms of Mascot score, ETD FT outperforms the other techniques for peptides with charge states higher than 2. Our data shows that there is a trade-off between spectral quality and speed when using the Orbitrap for fragment ion detection. We conclude that a decision-tree regulated combination of higher-energy collisional dissociation (HCD) and ETD can improve the average Mascot score.     

Effectiveness of CID, HCD, and ETD with FT MS/MS for degradomic-peptidomic analysis: comparison of peptide identification methods

We report on the effectiveness of CID, HCD, and ETD for LC-FT MS/MS analysis of peptides using a tandem linear ion trap-Orbitrap mass spectrometer. A range of software tools and analysis parameters were employed to explore the use of CID, HCD, and ETD to identify peptides (isolated from human blood plasma) without the use of specific "enzyme rules". In the evaluation of an FDR-controlled SEQUEST scoring method, the use of accurate masses for fragments increased the number of identified peptides (by ~50%) compared to the use of conventional low accuracy fragment mass information, and CID provided the largest contribution to the identified peptide data sets compared to HCD and ETD. The FDR-controlled Mascot scoring method provided significantly fewer peptide identifications than SEQUEST (by 1.3-2.3 fold) and CID, HCD, and ETD provided similar contributions to identified peptides. Evaluation of de novo sequencing and the UStags method for more intense fragment ions revealed that HCD afforded more contiguous residues (e.g., ≥ 7 amino acids) than either CID or ETD. Both the FDR-controlled SEQUEST and Mascot scoring methods provided peptide data sets that were affected by the decoy database used and mass tolerances applied (e.g., identical peptides between data sets could be limited to ~70%), while the UStags method provided the most consistent peptide data sets (>90% overlap). The m/z ranges in which CID, HCD, and ETD contributed the largest number of peptide identifications were substantially overlapping. This work suggests that the three peptide ion fragmentation methods are complementary and that maximizing the number of peptide identifications benefits significantly from a careful match with the informatics tools and methods applied. These results also suggest that the decoy strategy may inaccurately estimate identification FDRs.     

On-line LC-MS approach combining collision-induced dissociation (CID), electron-transfer dissociation (ETD), and CID of an isolated charge-reduced species for the trace-level characterization of proteins with post-translational modifications

We have expanded our recent on-line LC-MS platform for large peptide analysis to combine collision-induced dissociation (CID), electron-transfer dissociation (ETD), and CID of an isolated charge-reduced (CRCID) species derived from ETD to determine sites of phosphorylation and glycosylation modifications, as well as the sequence of large peptide fragments (i.e., 2000-10,000 Da) from complex proteins, such as beta-casein, epidermal growth factor receptor (EGFR), and tissue plasminogen activator (t-PA) at the low femtomol level. The incorporation of an additional CID activation step for a charge-reduced species, isolated from ETD fragment ions, improved ETD fragmentation when precursor ions with high m/z (approximately >1000) were automatically selected for fragmentation. Specifically, the identification of the exact phosphorylation sites was strengthened by the extensive coverage of the peptide sequence with a near-continuous product ion series. The identification of N-linked glycosylation sites in EGFR and an O-linked glycosylation site in t-PA were also improved through the enhanced identification of the peptide backbone sequence of the glycosylated precursors. The new strategy is a good starting survey scan to characterize enzymatic peptide mixtures over a broad range of masses using LC-MS with data-dependent acquisition, as the three activation steps can provide complementary information to each other. In general, large peptides can be extensively characterized by the ETD and CRCID steps, including sites of modification from the generated, near-continuous product ion series, supplemented by the CID-MS2 step. At the same time, small peptides (e.g., 相似文献   

PTM MarkerFinder,a software tool to detect and validate spectra from peptides carrying post‐translational modifications

Mass spectrometry (MS) analysis of peptides carrying post‐translational modifications is challenging due to the instability of some modifications during MS analysis. However, glycopeptides as well as acetylated, methylated and other modified peptides release specific fragment ions during CID (collision‐induced dissociation) and HCD (higher energy collisional dissociation) fragmentation. These fragment ions can be used to validate the presence of the PTM on the peptide. Here, we present PTM MarkerFinder, a software tool that takes advantage of such marker ions. PTM MarkerFinder screens the MS/MS spectra in the output of a database search (i.e., Mascot) for marker ions specific for selected PTMs. Moreover, it reports and annotates the HCD and the corresponding electron transfer dissociation (ETD) spectrum (when present), and summarizes information on the type, number, and ratios of marker ions found in the data set. In the present work, a sample containing enriched N‐acetylhexosamine (HexNAc) glycopeptides from yeast has been analyzed by liquid chromatography‐mass spectrometry on an LTQ Orbitrap Velos using both HCD and ETD fragmentation techniques. The identification result (Mascot .dat file) was submitted as input to PTM MarkerFinder and screened for HexNAc oxonium ions. The software output has been used for high‐throughput validation of the identification results.     

The Generating Function of CID,ETD, and CID/ETD Pairs of Tandem Mass Spectra: Applications to Database Search

Recent emergence of new mass spectrometry techniques (e.g. electron transfer dissociation, ETD) and improved availability of additional proteases (e.g. Lys-N) for protein digestion in high-throughput experiments raised the challenge of designing new algorithms for interpreting the resulting new types of tandem mass (MS/MS) spectra. Traditional MS/MS database search algorithms such as SEQUEST and Mascot were originally designed for collision induced dissociation (CID) of tryptic peptides and are largely based on expert knowledge about fragmentation of tryptic peptides (rather than machine learning techniques) to design CID-specific scoring functions. As a result, the performance of these algorithms is suboptimal for new mass spectrometry technologies or nontryptic peptides. We recently proposed the generating function approach (MS-GF) for CID spectra of tryptic peptides. In this study, we extend MS-GF to automatically derive scoring parameters from a set of annotated MS/MS spectra of any type (e.g. CID, ETD, etc.), and present a new database search tool MS-GFDB based on MS-GF. We show that MS-GFDB outperforms Mascot for ETD spectra or peptides digested with Lys-N. For example, in the case of ETD spectra, the number of tryptic and Lys-N peptides identified by MS-GFDB increased by a factor of 2.7 and 2.6 as compared with Mascot. Moreover, even following a decade of Mascot developments for analyzing CID spectra of tryptic peptides, MS-GFDB (that is not particularly tailored for CID spectra or tryptic peptides) resulted in 28% increase over Mascot in the number of peptide identifications. Finally, we propose a statistical framework for analyzing multiple spectra from the same precursor (e.g. CID/ETD spectral pairs) and assigning p values to peptide-spectrum-spectrum matches.Since the introduction of electron capture dissociation (ECD)1 in 1998 (1), electron-based peptide dissociation technologies have played an important role in analyzing intact proteins and post-translational modifications (2). However, until recently, this research-grade technology was available only to a small number of laboratories because it was commercially unavailable, required experience for operation, and could be implemented only with expensive FT-ICR instruments. The discovery of electron-transfer dissociation (ETD) (3) enabled an ECD-like technology to be implemented in (relatively cheap) ion-trap instruments. Nowadays, many researchers are employing the ETD technology for tandem mass spectra generation (4–9).Although the hardware technologies to generate ETD spectra are maturing rapidly, software technologies to analyze ETD spectra are still in infancy. There are two major approaches to analyzing tandem mass spectra: de novo sequencing and database search. Both approaches find the best-scoring peptide either among all possible peptides (de novo sequencing) or among all peptides in a protein database (database search). Although de novo sequencing is emerging as an alternative to database search, database search remains a more accurate (and thus preferred) method of spectral interpretation, so here we focus on the database search approach.Numerous database search engines are currently available, including SEQUEST (10), Mascot (11), OMSSA (12), X!Tandem (13), and InsPecT (14). However, most of them are inadequate for the analysis of ETD spectra because they are optimized for collision induced dissociation (CID) spectra that show different fragmentation propensities than those of ETD spectra. Additionally, the existing tandem mass spectrometry (MS/MS) tools are biased toward the analysis of tryptic peptides because trypsin is usually used for CID, and thus not suitable for the analysis of nontryptic peptides that are common for ETD. Therefore, even though some database search engines support the analysis of ETD spectra (e.g. SEQUEST, Mascot, and OMSSA), their performance remains suboptimal when it comes to analyzing ETD spectra. Recently, an ETD-specific database search tool (Z-Core) was developed; however it does not significantly improve over OMSSA (15).We present a new database search tool (MS-GFDB) that significantly outperforms existing database search engines in the analysis of ETD spectra, and performs equally well on nontryptic peptides. MS-GFDB employs the generating function approach (MS-GF) that computes rigorous p values of peptide-spectrum matches (PSMs) based on the spectrum-specific score histogram of all peptides (16).² MS-GF p values are dependent only on the PSM (and not on the database), thus can be used as an alternative scoring function for the database search.Computing p values requires a scoring model evaluating qualities of PSMs. MS-GF adopts a probabilistic scoring model (MS-Dictionary scoring model) described in Kim et al., 2009 (17), considering multiple features including product ion types, peak intensities and mass errors. To define the parameters of this scoring model, MS-GF only needs a set of training PSMs.³ This set of PSMs can be obtained in a variety of ways: for example, one can generate CID/ETD pairs and use peptides identified by CID to form PSMs for ETD. Alternatively, one can generate spectra from a purified protein (when PSMs can be inferred from the accurate parent mass alone) or use a previously developed (not necessary optimal) tool to generate training PSMs. From these training PSMs, MS-GF automatically derives scoring parameters without assuming any prior knowledge about the specifics of a particular peptide fragmentation method (e.g. ETD, CID, etc.) and/or proteolytic origin of the peptides. MS-GF was originally designed for the analysis of CID spectra, but now it has been extended to other types of spectra generated by various fragmentation techniques and/or various enzymes. We show that MS-GF can be successfully applied to novel types of spectra (e.g. ETD of Lys-N peptides (18, 19)) by simply retraining scoring parameters without any modification. Note that although the same scoring model is used for different types of spectra, the parameters derived to score different types of spectra are dissimilar.We compared the performance of MS-GFDB with Mascot on a large ETD data set and found that it generated many more peptide identifications for the same false discovery rates (FDR). For example, at 1% peptide level FDR, MS-GFDB identified 9450 unique peptides from 81,864 ETD spectra of Lys-N peptides whereas Mascot only identified 3672 unique peptides, ≈160% increase in the number of peptide identifications (a similar improvement is observed for ETD spectra of tryptic peptides).⁴ MS-GFDB also showed a significant 28% improvement in the number of identified peptides from CID spectra of tryptic peptides (16,203 peptides as compared with 12,658 peptides identified by Mascot).The ETD technology complements rather than replaces CID because both technologies have some advantages: CID for smaller peptides with small charges, ETD for larger and multiply charged peptides (20, 21). An alternative way to utilize ETD is to use it in conjunction with CID because CID and ETD generate complementary sequence information (20, 22, 23). ETD-enabled instruments often support generating both CID and ETD spectra (CID/ETD pairs) for the same peptide. Although the CID/ETD pairs promise a great improvement in peptide identification, the full potential of such pairs has not been fully realized yet. In the case of de novo sequencing, de novo sequencing tools utilizing CID/ETD pairs indeed result in more accurate de novo peptide sequencing than traditional CID-based algorithms (23, 24, 25). However, in the case of database search, the argument that the use of CID/ETD pairs improves peptide identifications remains poorly substantiated. A few tools are developed to use CID/ETD (or CID/ECD) pairs for the database search but they are limited to preprocessing/postprocessing of the spectral data before or following running a traditional database search tool (26, 27). Nielsen et al., 2005 (22) pioneered the combined use of CID and ECD for the database search. Given a CID/ECD pair, they generated a combined spectrum comprised only of complementary pairs of peaks, and searched it with Mascot.⁵ However, this approach is hard to generalize to less accurate CID/ETD pairs generated by ion-trap instruments because there is a higher chance that the identified complementary pairs of peaks are spurious. More importantly, using traditional MS/MS tools (such as Mascot) for the database search of the combined spectrum is inappropriate, because they are not optimized for analyzing such combined spectra; a better approach would be to develop a new database search tool tailored for the combined spectrum. Recently, Molina et al., 2008 (26) studied database search of CID/ETD pairs using Spectrum Mill (Agilent Technologies, Santa Clara, CA) and came to a counterintuitive conclusion that using only CID spectra identifies 12% more unique peptides than using CID/ETD pairs. We believe that it is an acknowledgment of limitations of the traditional MS/MS database search tools for the analysis of multiple spectra generated from a single peptide.In this paper, we modify the generating function approach for interpreting CID/ETD pairs and further apply it to improve the database search with CID/ETD pairs. In contrast to previous approaches, our scoring is specially designed to interpret CID/ETD pairs and can be generalized to analyzing any type of multiple spectra generated from a single peptide. When CID/ETD pairs from trypsin digests are used, MS-GFDB identified 13% and 27% more peptides compared with the case when only CID spectra and only ETD spectra are used, respectively. The difference was even more prominent when CID/ETD pairs from Lys-N digests were used, with 41% and 33% improvement over CID only and ETD only, respectively.Assigning a p value to a PSM greatly helped researchers to evaluate the quality of peptide identifications. We now turn to the problem of assigning a p value to a peptide-spectrum-spectrum match (PS²M) when two spectra in PS²M are generated by different fragmentation technologies (e.g. ETD and CID). We argue that assigning statistical significance to a PS²M (or even PSⁿM) is a prerequisite for rigorous CID/ETD analyses. To our knowledge, MS-GFDB is the first tool to generate statistically rigorous p values of PSⁿMs.The MS-GFDB executable and source code is available at the website of Center for Computational Mass Spectrometry at UCSD (http://proteomics.ucsd.edu). It takes a set of spectra (CID, ETD, or CID/ETD pairs) and a protein database as an input and outputs peptide matches. If the input is a set of CID/ETD pairs, it outputs the best scoring peptide matches and their p values (1) using only CID spectra, (2) using only ETD spectra, and (3) using combined spectra of CID/ETD pairs.     

Large-scale Identification of Endogenous Secretory Peptides Using Electron Transfer Dissociation Mass Spectrometry

Mass spectrometry-based unbiased analysis of the full complement of secretory peptides is expected to facilitate the identification of unknown biologically active peptides. However, tandem MS sequencing of endogenous peptides in their native form has proven difficult because they show size heterogeneity and contain multiple internal basic residues, the characteristics not found in peptide fragments produced by in vitro digestion. Endogenous peptides remain largely unexplored by electron transfer dissociation (ETD), despite its widespread use in bottom-up proteomics. We used ETD, in comparison to collision induced dissociation (CID), to identify endogenous peptides derived from secretory granules of a human endocrine cell line. For mass accuracy, both MS and tandem MS were analyzed on an Orbitrap. CID and ETD, performed in different LC-MS runs, resulted in the identification of 795 and 569 unique peptides (ranging from 1000 to 15000 Da), respectively, with an overlap of 397. Peptides larger than 3000 Da accounted for 54% in CID and 46% in ETD identifications. Although numerically outperformed by CID, ETD provided more extensive fragmentation, leading to the identification of peptides that are not reached by CID. This advantage was demonstrated in identifying a new antimicrobial peptide from neurosecretory protein VGF (non-acronymic), VGF[554–577]-NH₂, or in differentiating nearly isobaric peptides (mass difference less than 2 ppm) that arise from alternatively spliced exons of the gastrin-releasing peptide gene. CID and ETD complemented each other to add to our knowledge of the proteolytic processing sites of proteins implicated in the regulated secretory pathway. An advantage of the use of both fragmentation methods was also noted in localization of phosphorylation sites. These findings point to the utility of ETD mass spectrometry in the global study of endogenous peptides, or peptidomics.Biologically active peptides, commonly known as peptide hormones and antimicrobial peptides, belong to a defined set of endogenous peptides that gain specialized functions not ascribed to original precursor proteins. For a precursor protein to generate such peptides, it must undergo specific cleavages and in some cases needs to be modified at specific sites (1). This limited cleavage, or proteolytic processing, represents an important cellular mechanism by which molecular diversity of proteins is increased at the post-translational level. In the postgenome era, it is being recognized that localization of processing sites in secretory proteins facilitates the identification of biologically active peptides. A standard approach to determining such sites is to use a panel of antibodies directed against different regions of a target protein (2). However, it is practically impossible to prepare antibodies that can thoroughly cover potential processing products arising from the precursor. Alternatively, mass spectrometry-assisted unbiased analysis of endogenous peptides may be a major step toward elucidating proteolytic processing (3).In neurons and endocrine cells, a majority of biologically active peptides are released via the regulated secretory pathway. They are stored in secretory granules and await secretion until the cells receive an exocytotic stimulus. Owing to their compartmentalization, secretory peptides can be noninvasively recovered in culture supernatant. We have shown that a data set of endogenous peptide sequences that are collected by this procedure is applicable to infer processing sites, as well as to identify bona fide processing products (4). Rather than being digested, every endogenous peptide should be analyzed in its native form to understand how the peptide is generated and subsequently degraded. However, it remains a challenge to identify endogenous peptides because of size heterogeneity (ranging from 3 aa to 100 aa). For example, thyrotropin-releasing hormone is a small 3-aa peptide, human adrenomedullin occurs as a 52-aa peptide, and a 98-aa N-terminal propeptide from the atrial natriuretic peptide precursor is found in the circulation. Unlike digested protein fragments used in bottom-up proteomics, C termini of these endogenous peptides are not restricted to specific residues. Furthermore, proteolytic processing leads to the production of peptides containing multiple internal basic residues, for which collision induced dissociation (CID)¹ shows limited performance (5).A solution to address this issue in endogenous peptide sequencing might be the use of electron transfer dissociation (ETD) tandem mass spectrometry, which has been shown to provide a more complete series of fragment ions and hence a more confident sequence identification, along with the ability to leave labile post-translational modifications intact (6–10). The benefit of ETD in bottom-up proteomics has been increasingly documented, whereas endogenous peptides remain largely unexplored by ETD, despite the expectation that ETD would improve sequencing for larger peptides. In the few studies on endogenous peptides (11, 12), ETD did not cover large peptides exceeding 5000 Da. Because we have used CID to facilitate the discovery of previously unknown biologically active peptides (3, 13, 14), we were interested to see if ETD would be helpful to identify endogenous peptides that have escaped identification by CID. Here we conducted a large-scale identification of endogenous secretory peptides, ranging from 1000 to 15000 Da, using CID and ETD. We describe the merits of using ETD, in connection with CID, in peptidomics studies. The most significant finding is the identification of a previously unknown peptide, VGF[554–577]-NH₂, which was sequenced solely by ETD. This peptide was found to have antimicrobial activity.     

Electron transfer dissociation of iTRAQ labeled peptide ions

Triply and doubly charged iTRAQ ( isobaric tagging for relative and absolute quantitation) labeled peptide cations from a tryptic peptide mixture of bovine carbonic anhydrase II were subjected to electron transfer ion/ion reactions to investigate the effect of charge bearing modifications associated with iTRAQ on the fragmentation pattern. It was noted that electron transfer dissociation (ETD) of triply charged or activated ETD (ETD and supplemental collisional activation of intact electron transfer species) of doubly charged iTRAQ tagged peptide ions yielded extensive sequence information, in analogy with ETD of unmodified peptide ions. That is, addition of the fixed charge iTRAQ tag showed relatively little deleterious effect on the ETD performance of the modified peptides. ETD of the triply charged iTRAQ labeled peptide ions followed by collision-induced dissociation (CID) of the product ion at m/ z 162 yielded the reporter ion at m/ z 116, which is the reporter ion used for quantitation via CID of the same precursor ions. The reporter ion formed via the two-step activation process is expected to provide quantitative information similar to that directly produced from CID. A 103 Da neutral loss species observed in the ETD spectra of all the triply and doubly charged iTRAQ labeled peptide ions is unique to the 116 Da iTRAQ reagent, which implies that this process also has potential for quantitation of peptides/proteins. Therefore, ETD with or without supplemental collisional activation, depending on the precursor ion charge state, has the potential to directly identify and quantify the peptides/proteins simultaneously using existing iTRAQ reagents.     

Enrichment and analysis of nonenzymatically glycated peptides: boronate affinity chromatography coupled with electron-transfer dissociation mass spectrometry

Nonenzymatic glycation of peptides and proteins by d-glucose has important implications in the pathogenesis of diabetes mellitus, particularly in the development of diabetic complications. However, no effective high-throughput methods exist for identifying proteins containing this low-abundance post-translational modification in bottom-up proteomic studies. In this report, phenylboronate affinity chromatography was used in a two-step enrichment scheme to selectively isolate first glycated proteins and then glycated, tryptic peptides from human serum glycated in vitro. Enriched peptides were subsequently analyzed by alternating electron-transfer dissociation (ETD) and collision induced dissociation (CID) tandem mass spectrometry. ETD fragmentation mode permitted identification of a significantly higher number of glycated peptides (87.6% of all identified peptides) versus CID mode (17.0% of all identified peptides), when utilizing enrichment on first the protein and then the peptide level. This study illustrates that phenylboronate affinity chromatography coupled with LC-MS/MS and using ETD as the fragmentation mode is an efficient approach for analysis of glycated proteins and may have broad application in studies of diabetes mellitus.     

Enhanced detection and identification of multiply phosphorylated peptides using TiO2 enrichment in combination with MALDI TOF/TOF MS

The analysis of PTMs such as phosphorylation has become an important field in MS because they can directly indicate protein states and interactions. Whereas the characterization of singly and doubly phosphorylated peptides has almost become routine, identifying phosphorylation events at multiple residues within a small region of a protein is still problematic. The identification of multiple modifications can be further hampered by low sequence information due to multiple neutral losses from phosphorylated side chains. Here we present a strategy for the analysis of complex phosphopeptides that combines peptide enrichment by titanium dioxide, separation by RP separation on monolithic columns and MS using high energy HE-CAD in a MALDI TOF/TOF analyser. Using synthetic phosphopeptides our approach is compared to multistage activation (MSA) MS/MS and the recently described electron transfer dissociation (ETD) method using an ESI-LTQ mass spectrometer.     

Simultaneous analysis of proteome, phospho- and glycoproteome of rat kidney tissue with electrostatic repulsion hydrophilic interaction chromatography

Protein post-translational modifications (PTMs) are regulated separately from protein expression levels. Thus, simultaneous characterization of the proteome and its PTMs is pivotal to an understanding of protein regulation, function and activity. However, concurrent analysis of the proteome and its PTMs by mass spectrometry is a challenging task because the peptides bearing PTMs are present in sub-stoichiometric amounts and their ionization is often suppressed by unmodified peptides of high abundance. We describe here a method for concurrent analysis of phosphopeptides, glycopeptides and unmodified peptides in a tryptic digest of rat kidney tissue with a sequence of ERLIC and RP-LC-MS/MS in a single experimental run, thereby avoiding inter-experimental variation. Optimization of loading solvents and elution gradients permitted ERLIC to be performed with totally volatile solvents. Two SCX and four ERLIC gradients were compared in details, and one ERLIC gradient was found to perform the best, which identified 2929 proteins, 583 phosphorylation sites in 338 phosphoproteins and 722 N-glycosylation sites in 387 glycoproteins from rat kidney tissue. Two hundred low-abundance proteins with important functions were identified only from the glyco- or phospho-subproteomes, reflecting the importance of the enrichment and separation of modified peptides by ERLIC. In addition, this strategy enables identification of unmodified and corresponding modified peptides (partial phosphorylation and N-glycosylation) from the same protein. Interestingly, partially modified proteins tend to occur on proteins involved in transport. Moreover, some membrane or extracellular proteins, such as versican core protein and fibronectin, were found to have both phosphorylation and N-glycosylation, which may permit an assessment of the potential for cross talk between these two vital PTMs and their roles in regulation.     

Electron Capture Dissociation Mass Spectrometry in Characterization of Peptides and Proteins

Electron capture dissociation (ECD) represents one of the most recent and significant advancements in tandem mass spectrometry (MS/MS) for the identification and characterization of polypeptides. In comparison with the conventional fragmentation techniques, such as collisionally activated dissociation (CAD), ECD provides more extensive sequence fragments, while allowing the labile modifications to remain intact during backbone fragmentation—an important attribute for characterizing post-translational modifications. Herein, we present a brief overview of the ECD technique as well as selected applications in characterization of peptides and proteins. Case studies including characterization and localization of amino acid glycosylation, methionine oxidation, acylation, and “top–down” protein mass spectrometry using ECD will be presented. A recent technique, coined as electron transfer dissociation (ETD), will be also discussed briefly.     

A Mixed Integer Linear Optimization Framework for the Identification and Quantification of Targeted Post-translational Modifications of Highly Modified Proteins Using Multiplexed Electron Transfer Dissociation Tandem Mass Spectrometry

Here we present a novel methodology for the identification of the targeted post-translational modifications present in highly modified proteins using mixed integer linear optimization and electron transfer dissociation (ETD) tandem mass spectrometry. For a given ETD tandem mass spectrum, the rigorous set of modified forms that satisfy the mass of the precursor ion, within some tolerance error, are enumerated by solving a feasibility problem via mixed integer linear optimization. The enumeration of the entire superset of modified forms enables the method to normalize the relative contributions of the individual modification sites. Given the entire set of modified forms, a superposition problem is then formulated using mixed integer linear optimization to determine the relative fractions of the modified forms that are present in the multiplexed ETD tandem mass spectrum. Chromatographic information in the mass and time dimension is utilized to assess the likelihood of the assigned modification states, to average several tandem mass spectra for confident identification of lower level forms, and to infer modification states of partially assigned spectra. The utility of the proposed computational framework is demonstrated on an entire LC-MS/MS ETD experiment corresponding to a mixture of highly modified histone peptides. This new computational method will facilitate the unprecedented LC-MS/MS ETD analysis of many hypermodified proteins and offer novel biological insight into these previously understudied systems.Accurate identification of post-translational modifications (PTMs)¹ is a critical and often difficult task in proteomics. Most standard mass spectrometry-based techniques for the identification of protein modifications utilize a “bottom up” approach where the proteins are enzymatically digested into smaller peptides that are subsequently ionized and fragmented via CID to derive their sequence information (1–9). The identification of all the modifications present in a protein hinges on the successful identification of the PTM modifications of its corresponding peptides. This protocol can be limited by (a) insufficient elution and detection of all the peptides that cover the entire sequence of the protein, (b) false or incomplete identifications at the peptide level, and (c) the existence of different modification states of the same protein. Additional complications arise when using CID to study labile PTMs such as phosphorylation, glycosylation, or sulfonation. In these instances, the preferred reaction is often the cleavage of the PTM as opposed to the backbone of the peptide, resulting in a high intensity peak corresponding to the difference of the parent mass and the cleaved modification. The advent of electron capture dissociation (ECD) (10, 11) and electron transfer dissociation (ETD) (12–15) has enabled researchers to address the aforementioned issues associated with bottom up approaches using CID by adopting a complementary top down or middle down analysis strategy.ECD and ETD both involve the reaction of an electron with a highly protonated cation to form an odd electron peptide. This process induces large amounts of backbone cleavage to yield c and z· ions that are analogous to the b and y ion series typically encountered in CID tandem mass spectra. Unlike CID, ECD/ETD cleavage is weakly affected by the composition and number of amino acids in the peptide and for certain systems can provide more fragmentation coverage than CID alone, especially for bigger peptides with higher charge states. Both ECD and ETD also prevent the cleavage of labile modifications, and thus PTMs are retained on the corresponding c and z· ions. The aforementioned benefits make ECD/ETD particularly well suited for the LC-MS/MS top down and middle down analysis of post-translationally modified proteins. These top down and middle down approaches also enable the approximate inference of protein abundance from the chromatogram and MS¹ information because the full protein sequence elutes from the column (16).In recent years, there has been significant interest in the identification of highly modified proteins, such as histones. Histone proteins are key regulators of many important DNA processes in eukaryotes, and recent studies have elucidated complex relationships between histone modifications and many nuclear events. It has also been shown that differences in global histone modifications in tissues can be used to predict the clinical outcome of cancer patients (17). Early MS or immunoassay studies were only able to analyze these modifications on a site-by-site basis and as a result lost important connectivity information on the molecular level because several modified forms of the same protein exist concurrently. In MS-based applications, the use of traditional reversed phase HPLC for the separation of a highly modified protein results in poor chromatographic resolution because all the modified forms are physically similar. Successful off-line techniques for the separation of highly modified histone forms have been achieved using cation exchange hydrophilic interaction chromatography (HILIC) (18), which separates the modified species primarily by the number of acetyl groups and secondly by the degree of methylation. The separation must be conducted off line because the mobile phase additives used are non-volatile components, and subsequent fractionation is necessary for mass spectrometric analysis. This protocol has made it possible to analyze the first 50 amino acids of the N-terminal tail of histone H3 and provided important insight regarding connectivity information between the modification sites. A major disadvantage of this approach is that the off-line nature of the experimental protocol is extremely time-consuming (on the order of months) and thus prohibits the ability to conduct multiple runs for high throughput studies and statistical validation. Additionally, other off-line techniques have been successful in the extraction and purification of modified histone proteins using acid-urea gel electrophoresis (19) but suffer from similar throughput constraints.We have recently developed chromatography that is particularly suited for LC-MS ETD analysis of highly modified polypeptides with successful applications to histone proteins (20). The protocol uses a “saltless” pH gradient to elute the various modified forms in a weak cation exchange HILIC. Unprecedented separation of the modified histone forms is achieved within a single LC-MS/MS ETD experiment, thereby introducing important chromatographic information that can be utilized in the subsequent identification and quantification of these post-translational modifications. Although the achieved separation is exceptional in comparison with previous attempts, the complexity and relative similarity of the modified forms still results in minor species co-eluting with similar mass and retention times, thus resulting in multiplexed tandem mass spectra. The term “multiplexed” as used here refers to the fact that several species are dissociated and measured in a single tandem mass spectrum (21) and should not be confused with the multiplex experimental protocols. Computational methodologies that utilize the extensive and complementary information contained within these LC-MS/MS data sets are nonexistent as the technology has only recently been developed.In this work, we present a novel mixed integer linear optimization (MILP) computational framework for the identification and quantification of highly modified proteins using LC-MS and ETD tandem mass spectrometry. Key concepts of the proposed framework are illustrated using histone H3.2 as an example system. For a given primary sequence, the entire set of post-translational modifications that satisfy a precursor mass are enumerated by solving an MILP feasibility problem. Given this set of PTM forms, an MILP superposition problem is then solved to determine the relative fractions of the modified forms that are present in the multiplexed ETD tandem mass spectrum. An important aspect of the proposed framework is that chromatographic information is used to correlate the modification states as a function of modification position, mass, and time. The proposed computational framework is applied to an entire LC-MS/MS ETD experiment corresponding to a mixture of highly modified histone peptides to demonstrate its utility.     

Strong cation exchange-based fractionation of Lys-N-generated peptides facilitates the targeted analysis of post-translational modifications

In proteomics multi-dimensional fractionation techniques are widely used to reduce the complexity of peptide mixtures subjected to mass spectrometric analysis. Here, we describe the sequential use of strong cation exchange and reversed phase liquid chromatography in the separation of peptides generated by a relatively little explored metallo-endopeptidase with Lys-N cleavage specificity. When such proteolytic peptides are subjected to low-pH strong cation exchange we obtain fractionation profiles in which peptides from different functional categories are well separated. The four categories we distinguish and are able to separate to near completion are (I) acetylated N-terminal peptides; (II) singly phosphorylated peptides containing a single basic (Lys) residue; (III) peptides containing a single basic (Lys) residue; and (IV) peptides containing more than one basic residue. Analyzing these peptides by LC-MS/MS using an ion trap with both collision as well as electron transfer-induced dissociation provides unique optimal targeted strategies for proteome analysis. The acetylated peptides in category I can be identified confidently by both CID and ETcaD, whereby the ETcaD spectra are dominated by sequence informative Z-ion series. For the phosphorylated peptides in category II and the "normal" single Lys containing peptides in category III ETcaD provides unique straightforward sequence ladders of c'-ions, from which the exact location of possible phosphorylation sites can be easily determined. The later fractions, category IV, require analysis by both ETcaD and CID, where it is shown that electron transfer dissociation performs relatively well for these multiple basic residues containing peptides, as is expected. We argue that the well resolved separation of functional categories of peptides observed is characteristic for Lys-N-generated peptides. Overall, the combination of Lys-N proteolysis, low-pH strong cation exchange, and reversed phase separation, with CID and ETD induced fragmentation, adds a new very powerful method to the toolbox of proteomic analyses.     

Mass spectrometrical characterisation of mouse and rat synapsin isoforms 2a and 2b

Synapsin 2 proteins are key elements of the synaptic machinery and still hold the centre stage in neuroscience research. Although fully sequenced at the nucleic acid level in mouse and rat, structural information on amino acid sequences and post-translational modifications (PTMs) is limited. Knowledge on protein sequences and PTMs, however, is mandatory for several purposes including conformational studies and the generation of antibodies. Hippocampal proteins from rat and mouse were extracted, run on two-dimensional gel electrophoresis and multi-enzyme digestion was carried out to generate peptides for mass spectrometrical analysis [nano-LC-ESI-(CID/ETD)-MS/MS]. As much as 12 synapsin 2 proteins (6 alpha and 6 beta isoforms) in the mouse and 13 synapsin 2 proteins (6 alpha and 7 beta isoforms) were observed in the rat. Protein sequences were highly identical to nucleic acid sequences, and only few amino acid exchanges probably representing polymorphisms or sequence conflicts were detected. Mouse and rat synapsins 2a differed in three amino acids, while rat and mouse synapsins 2b differed in two amino acids. As much as 13 phosphorylation sites were determined by MS/MS data in rat and mouse hippocampus and 5 were verified by phosphatase treatment. These findings are important for interpretation of previous results and design of future studies on synapsins.     

Revealing the dynamics of the 20 S proteasome phosphoproteome: a combined CID and electron transfer dissociation approach

The 20 S proteasomes play a critical role in intracellular homeostasis and stress response. Their function is tuned by covalent modifications, such as phosphorylation. In this study, we performed a comprehensive characterization of the phosphoproteome for the 20 S proteasome complexes in both the murine heart and liver. A platform combining parallel approaches in differential sample fractionation (SDS-PAGE, IEF, and two-dimensional electrophoresis), enzymatic digestion (trypsin and chymotrypsin), phosphopeptide enrichment (TiO(2)), and peptide fragmentation (CID and electron transfer dissociation (ETD)) has proven to be essential for identifying low abundance phosphopeptides. As a result, a total of 52 phosphorylation identifications were made in mammalian tissues; 44 of them were novel. These identifications include single (serine, threonine, and tyrosine) and dual phosphorylation peptides. 34 phosphopeptides were identified by CID; 10 phosphopeptides, including a key modification on the catalytically essential beta5 subunit, were identified only by ETD; eight phosphopeptides were shared identifications by both CID and ETD. Besides the commonly shared phosphorylation sites, unique sites were detected in the murine heart and liver, documenting variances in phosphorylation between tissues within the proteasome populations. Furthermore the biological significance of these 20 S phosphoproteomes was evaluated. The role of cAMP-dependent protein kinase A (PKA) to modulate these phosphoproteomes was examined. Using a proteomics approach, many of the cardiac and hepatic 20 S subunits were found to be substrate targets of PKA. Incubation of the intact 20 S proteasome complexes with active PKA enhanced phosphorylation in both existing PKA phosphorylation sites as well as novel sites in these 20 S subunits. Furthermore treatment with active PKA significantly elevated all three peptidase activities (beta1 caspase-like, beta2 trypsin-like, and beta5 chymotrypsin-like), demonstrating a functional role of PKA in governing these 20 S phosphoproteomes.     

Methods for analyzing peptides and proteins on a chromatographic timescale by electron-transfer dissociation mass spectrometry

Advancement in proteomics research relies on the development of new, innovative tools for identifying and characterizing proteins. Here, we describe a protocol for analyzing peptides and proteins on a chromatographic timescale by coupling nanoflow reverse-phase (RP) liquid chromatography (LC) to electron-transfer dissociation (ETD) mass spectrometry. For this protocol, proteins can be proteolytically digested before ETD analysis, although digestion is not necessary for all applications. Proteins 相似文献   

Electron transfer dissociation of peptides generated by microwave D-cleavage digestion of proteins

The nonenzymatic digestion of proteins by microwave D-cleavage is an effective technique for site-specific cleavage at aspartic acid (D). This specific cleavage C-terminal to D residues leads to inherently large peptides (15-25 amino acids) that are usually relatively highly charged (above +3) when ionized by electrospray ionization (ESI) due to the presence of several basic amino acids within their sequences. It is well-documented that highly charged peptide ions generated by ESI are well-suited for electron transfer dissociation (ETD), which produces c- and z-type fragment ions via gas-phase ion/ion reactions. In this paper, we describe the sequence analysis by ETD tandem mass spectrometry (MS/MS) of multiply charged peptides generated by microwave D-cleavage of several standard proteins. Results from ETD measurements are directly compared to CID MS/MS of the same multiply charged precursor ions. Our results demonstrate that the nonenzymatic microwave D-cleavage technique is a rapid (<6 min) and specific alternative to enzymatic cleavage with Lys-C or Asp-N to produce highly charged peptides that are amenable to informative ETD.