Collision-induced Dissociation Of Peptides Research Articles

Sensitive β-substituted aliphatic Ile/Val-Xxx and aromatic Phe/Tyr/His-Xxx residues to form [a]+ ions in high energy CID of peptides

Residue-specific cleavages resulting in the formation of [a]+ ions of peptides have been examined using 20 keV high-energy (high-E) collision-induced dissociation (CID) with a tandem time-of-flight (TOF/TOF) instrument. High-E CID resulted in relatively sensitive cleavage at the Cα-C bond of β-substituted aliphatic Val/Ile-Xxx and aromatic Phe/Tyr/His-Xxx residues when an Arg residue was located on the N-terminal side. The sensitive aromatic Phe/Tyr/His residues and insensitive Gly residue in high-E CID are similar to other methods, such as ultraviolet photodissociation (UVPD) of [M+H]+, low-E CID of [M].+ and MALDI-ISD with a hydrogen-abstracting matrix. The properties of the Val/Ile residues are not necessarily common to the same methods. The high-sensitivity of Val/Ile and Phe/Tyr/His residues to high-E CID may be due to high-energy single collision between target gas and the bulky sidechains of these residues. It is suggested that from high-E CID and MALDI-ISD experiments the formation of [a]+ ions is essentially connected with the loss of atomic hydrogen from protonated peptides [M+H]+, and that high-E CID results in the loss of hydrogen from the backbone amide nitrogen rather than the site of the β-carbon of sidechains.

Formation of c- and z-ions due to preferential cleavage at the N[sbnd]C bond of Xxx-Asp/Asn residues in negative-ion CID of peptides

In collision-induced dissociation (CID) experiments of peptides, the formation of c- and z-ions originating from NCα bond cleavage of the peptide backbone is unusual, whereas b- and y-ions are often observed in positive-ion CID spectra. Here we report that characteristic product c- and z-ions can be observed in negative-ion CID spectra of peptides with Asp and Asn residues. The negative c- and z-ions are mainly generated at the NCα bond of Xxx-Asp and Xxx-Asn residues that are classified as the flexible amino acids in protein chemistry. In the absence of any acidic amino acid residues, negative-ion CID spectra show dominant c-ion peaks originating from cleavage at the NCα bond lying in between the 3rd and 4th residues from the C-terminus of analyte peptides. It is proposed that the NCα bond cleavage leading to the formation of c- and/or z-ions is caused by the negative charge located on the amide nitrogen, which generated with an intra-molecular hydrogen abstraction from the backbone amide regions due to negative-charged acidic functional groups.

Lessons in de novo peptide sequencing by tandem mass spectrometry.

Mass spectrometry has become the method of choice for the qualitative and quantitative characterization of protein mixtures isolated from all kinds of living organisms. The raw data in these studies are MS/MS spectra, usually of peptides produced by proteolytic digestion of a protein. These spectra are "translated" into peptide sequences, normally with the help of various search engines. Data acquisition and interpretation have both been automated, and most researchers look only at the summary of the identifications without ever viewing the underlying raw data used for assignments. Automated analysis of data is essential due to the volume produced. However, being familiar with the finer intricacies of peptide fragmentation processes, and experiencing the difficulties of manual data interpretation allow a researcher to be able to more critically evaluate key results, particularly because there are many known rules of peptide fragmentation that are not incorporated into search engine scoring. Since the most commonly used MS/MS activation method is collision-induced dissociation (CID), in this article we present a brief review of the history of peptide CID analysis. Next, we provide a detailed tutorial on how to determine peptide sequences from CID data. Although the focus of the tutorial is de novo sequencing, the lessons learned and resources supplied are useful for data interpretation in general.

Selective cleavage enhanced by acetylating the side chain of lysine

Selective cleavage is of great interest in mass spectrometry studies as it can help sequence identification by promoting simple fragmentation pattern of peptides and proteins. In this work, the collision-induced dissociation of peptides containing internal lysine and acetylated lysine residues were studied. The experimental and computational results revealed that multiple fragmentation pathways coexisted when the lysine residue was two amino acid residues away from N-terminal of the peptide. After acetylation of the lysine side-chain, b(n)+ ions were the most abundant primary fragment products and the Lys(Ac)-Gly amide bond became the dominant cleavage site via an oxazolone pathway. Acetylating the side-chain of lysine promoted the selective cleavage of Lys-Xxx amide bond and generated much more information of the peptide backbone sequence. The results re-evaluate the selective cleavage due to the lysine basic side-chain and provide information for studying the post-translational modification of proteins and other bio-molecules containing Lys residues.

Prediction of Collision-Induced-Dissociation Spectra of Peptides with Post-translational or Process-Induced Modifications

Mass spectrometry, combined with collision-induced dissociation (CID), has become the method of choice for analyzing protein post-translational and process-induced modifications. However, confident and automated identification of modifications and modification sites is often challenged by the diversity of modifications and their labile nature under typical CID conditions. An accurate prediction of the CID spectra of modified peptides will improve the reliability of automated determination of modifications and modification sites. In this article, the kinetic model for the prediction of peptide CID spectra is extended to the prediction of the CID spectra of modified peptides. The mathematical model for predicting CID spectra of peptides with enzymatic and chemical modifications such as (1) phosphorylation of serine, threonine, and tyrosine, (2) S-carboxymethylation and carbamidomethylation of cysteine, (3) different stages of oxidation of methionine, tryptophan, and cysteine, (4) glycation of lysine, (5) O-mannosylation of serine, (6) hydroxylation of lysine, and (7) N-monomethylation and N-dimethylation of lysine is described. The mathematical model, once established with CID spectra of peptides with known modifications and modification sites, is able to predict CID spectra with excellent accuracy in ion intensities, facilitating more reliable identification of modification and modification sites.

Prediction of Collision-Induced Dissociation Spectra of Common N-Glycopeptides for Glycoform Identification

Confident identification of the glycan moieties in glycopeptides by collision-induced dissociation (CID) requires accurate prediction of the CID spectrum of the glycopeptides. In this Article, the kinetic model for the prediction of peptide CID spectra is extended to predict the CID spectra of N-glycopeptides. The model was trained with 1831 ion-trap CID spectra of N-glycopeptides and is able to predict ion-trap CID spectra with excellent accuracy in ion intensities for N-glycopeptides up to 8000 u in mass. A total of 524 common glycoforms including complex N-glycans with 2-4 antennas, plus high-mannose type and hybrid type, can be predicted.

Neutral Loss of Isocyanic Acid in Peptide CID Spectra: A Novel Diagnostic Marker for Mass Spectrometric Identification of Protein Citrullination

Protein citrullination is emerging as an important signaling mechanism that modulates a variety of biological processes. This protein modification constitutes only a 1 Da mass shift, and can be readily confused with other common protein modifications that yield an identical mass shift. In an attempt to develop a robust methodology for detection of protein citrullination sites, we analyzed synthetic citrulline-containing peptides by electrospray ionization tandem mass spectrometry. Collision-induced dissociation (CID) spectra revealed abundant neutral loss of 43 Da from citrullinated peptide precursor ions, which was reconciled by elimination of the HNCO moiety (isocyanic acid) from the citrulline ureido group. The elimination occurs readily in multiple charge states of precursor ions and also in b and y ions. HNCO loss in CID spectra provides a novel diagnostic marker for citrullination, and its utility was demonstrated by the discovery of Arg197 as the specific site of citrullination on nucleophosmin upon peptidylarginine deiminase 4 treatment.

On the dynamics of fragment isomerization in collision-induced dissociation of peptides.

The structures of peptide collision-induced dissociation (CID) product ions are investigated using ion mobility/mass spectrometry techniques combined with theoretical methods. The cross-section results are consistent with a mixture of linear and cyclic structures for both b4 and a4 fragment ions. Direct evidence for cyclic structures is essential in rationalizing the appearance of fragments with scrambled (i.e., permutated) primary structures, as the cycle may not open up where it was initially formed. It is demonstrated here that cyclic and linear a4 structures can interconvert freely as a result of collisional activation, implying that isomerization takes place prior to dissociation.

Qualitative and Quantitative Analyses of Protein Phosphorylation in Naive and Stimulated Mouse Synaptosomal Preparations

Activity-dependent protein phosphorylation is a highly dynamic yet tightly regulated process essential for cellular signaling. Although recognized as critical for neuronal functions, the extent and stoichiometry of phosphorylation in brain cells remain undetermined. In this study, we resolved activity-dependent changes in phosphorylation stoichiometry at specific sites in distinct subcellular compartments of brain cells. Following highly sensitive phosphopeptide enrichment using immobilized metal affinity chromatography and mass spectrometry, we isolated and identified 974 unique phosphorylation sites on 499 proteins, many of which are novel. To further explore the significance of specific phosphorylation sites, we used isobaric peptide labels and determined the absolute quantity of both phosphorylated and non-phosphorylated peptides of candidate phosphoproteins and estimated phosphorylation stoichiometry. The analyses of phosphorylation dynamics using differentially stimulated synaptic terminal preparations revealed activity-dependent changes in phosphorylation stoichiometry of target proteins. Using this method, we were able to differentiate between distinct isoforms of Ca2+/calmodulin-dependent protein kinase (CaMKII) and identify a novel activity-regulated phosphorylation site on the glutamate receptor subunit GluR1. Together these data illustrate that mass spectrometry-based methods can be used to determine activity-dependent changes in phosphorylation stoichiometry on candidate phosphopeptides following large scale phosphoproteome analysis of brain tissue.

Scrambling of Sequence Information in Collision-Induced Dissociation of Peptides

Collision-induced dissociation (CID) of protonated YAGFL-NH2 leads to nondirect sequence fragment ions that cannot directly be derived from the primary peptide structure. Experimental and theoretical evidence indicate that primary fragmentation of the intact peptide leads to the linear YAGFLoxa b5 ion with a C-terminal oxazolone ring that is attacked by the N-terminal amino group to induce formation of a cyclic peptide b5 isomer. The latter can undergo various proton transfer reactions and opens up to form something other than the YAGFLoxa linear b5 isomer, leading to scrambling of sequence information in the CID of protonated YAGFL-NH2.

Online immunoaffinity liquid chromatography/tandem mass spectrometry determination of a type II collagen peptide biomarker in rat urine: Investigation of the impact of collision-induced dissociation fluctuation on peptide quantitation

Proteolytic fragments of type II collagen, a major component of joint tissue, have recently been identified as biomarkers for osteoarthritis, a progressive disease associated with cartilage degeneration. A liquid chromatography/tandem mass spectrometry (MS/MS) assay that utilizes online immunoaffinity chromatography and column switching was developed in our laboratory for the neoepitope of type II collagen (NET2C). During method development, peptide collision-induced dissociation (CID) was found to be a significant source of assay variation, which exceeded 10% CV, despite the fact that a stable-isotope-labeled (SIL) internal standard was used to minimize imprecision. This phenomenon was studied in detail using peptides and associated SIL internal standards of varying lengths and amino acid compositions. Variability in peptide CID necessitated the monitoring of multiple MS/MS transitions to obtain acceptable assay precision. The assay was subsequently validated to measure NET2C concentrations in rat urine over the range of 0.1 to 10 ng/mL. The interday accuracy and precision ranged from 3.9 to 13.1 (%CV) and 10.7 to 5.3 (%RE), respectively, across the range of validated concentrations. A specific application of the assay is presented in which the role of estrogen deficiency in the development and progression of osteoarthritis was investigated. In this study, the effect of estrogen on lowering NET2C concentrations in urine in ovariectomized rats was demonstrated.

Rectilinear Ion Trap Mass Spectrometer with Atmospheric Pressure Interface and Electrospray Ionization Source

A rectilinear ion trap (RIT) mass analyzer was incorporated into a mass spectrometer fitted with an electrospray ionization source and an atmospheric pressure interface. The RIT mass spectrometer, which was assembled in two different configurations, was used for the study of biological compounds, for which performance data are given. A variety of techniques, including the use of a balanced rf, elevated background gas pressure, automatic gain control, and resonance ejection waveforms with dynamically adjusted amplitude, were applied to enhance performance. The capabilities of the instrument were characterized using proteins, peptides, and pharmaceutical drugs. Unit resolution and an accuracy of better than m/z 0.2 was achieved for mass-to-charge (m/z) ratios up to 2000 Th at a scan rate of approximately 3000 amu/(charge.s) while reduced scan rates gave greater resolution and peak widths of less than m/z 0.5 over the same range. The mass discrimination in trapping externally generated ions was characterized over the range m/z 190-2000 and an optimized low mass cutoff value of m/z 120-140 was found to give equal trapping efficiencies over the entire range. The radial detection efficiency was measured as a function of m/z ratio and found to rise from 35% at low m/z values to more than 90% for ions of m/z 1800. The way in which the ion trapping capacity depends on the dc trapping potential was investigated by measuring the mass shift due to space charge effects, and it was shown that low trapping potentials minimize space charge effects by increasing the useful volume of the device. The collision-induced dissociation (CID) capabilities of the RIT instrument were evaluated by measuring isolation efficiency as a function of mass resolution as well as measuring peptide CID efficiencies. Overall CID efficiencies of more than 60% were easily reached, while isolation of an ion with unit resolution at m/z 524 was achieved with high rejection (>95%) of the adjacent ions. The overall analytical capabilities of the ESI-RIT instrument were demonstrated with the analysis of a mixture of pharmaceutical compounds using multiple-stage mass spectrometry.

Spectroscopic and Theoretical Evidence for Oxazolone Ring Formation in Collision-Induced Dissociation of Peptides

Infrared spectroscopy of the b4+ fragment of Leu-enkephalin demonstrates that the oxazolone ring is formed during collision-induced dissociation of protonated peptides, whereas the linear acylium structure is not observed. Three distinct oxazolone structures are identified, based on the highly conformer-diagnostic C=O stretching mode of the oxazolone ring, clearly showing that proton transfer from the oxazolone ring to the N-terminus takes place. Note that the presence of a cyclic peptide b4+ isomer cannot be excluded.

Prediction of Low-Energy Collision-Induced Dissociation Spectra of Peptides with Three or More Charges

A kinetic model, based on the "mobile proton" model of peptide fragmentation, has been reported previously for quantitative prediction of low-energy collision-induced dissociation (CID) spectra of singly or doubly charged peptides. For peptides with three or more charges, however, the simulation process is complex and time-consuming. This paper describes a simplified model for quantitative prediction of CID spectra of peptide ions with three or more charges. Improvements on other aspects of the model were also made to accommodate large peptides. The performance of the simplified model was evaluated by generating predictions for many known highly charged peptides that were not included in the training data set. It was shown that the model is able to predict peptide CID spectra with reasonable accuracy in fragment ion intensities for highly charged peptide ions up to 5000 u in mass.

Prediction of low-energy collision-induced dissociation spectra of peptides.

A kinetic model, based on the "mobile proton" model of peptide fragmentation, was developed to quantitatively simulate the low-energy collision-induced dissociation (CID) spectra of peptides dissociated in a quadrupole ion trap mass spectrometer. The model includes most fragmentation pathways described in the literature, plus some additional pathways based on the author's observations. The model was trained by optimizing parameters within the model for predictions of CID spectra of known peptides. A best set of parameters was optimized to obtain best match between the simulated spectra and the experimental spectra in a training data set. The performance of the mathematical model and the associated optimized parameter set used in the CID spectra simulation was evaluated by generating predictions for a large number of known peptides, which were not included in the training data set. It was shown that the model is able to predict peptide CID spectra with reasonable accuracy in fragment ion intensities for both singly and doubly charged peptide parent ions up to 2000 u in mass. The optimized parameter set was evaluated to gain insight into the collision-induced peptide fragmentation process.

Five-membered ring formation in unimolecular reactions of peptides: a key structural element controlling low-energy collision-induced dissociation of peptides

Five-membered ring formation in unimolecular reactions of peptides: a key structural element controlling low-energy collision-induced dissociation of peptides

Peptide sequence determination from high-energy collision-induced dissociation spectra using artificial neural networks

This paper reports a newly developed technique that uses artificial neural networks to aid in the automated interpretation of peptide sequence from high-energy collision-induced dissociation (CID) tandem mass spectra of peptides. Two artificial neural networks classify fragment ions before the commencement of an iterative sequencing algorithm. The first neural network provides an estimation of whether fragment ions belong to 1 of 11 specific categories, whereas the second network attempts to determine to which category each ion belongs. Based upon numerical results from the two networks, the program generates an idealized spectrum that contains only a single ion type. From this simplified spectrum, the program's sequencing module, which incorporates a small rule base of fragmentation knowledge, directly generates sequences in a stepwise fashion through a high-speed iterative process. The results with this prototype algorithm, in which the neural networks were trained on a set of reference spectra, suggest that this method is a viable approach to rapid computer interpretation of peptide CID spectra.