Dipeptidyl peptidase IV. Purification for use in peptide sequencing

Isolation and purification of dipeptidyl peptidase IV from pig kidney are described. The specific activity of the enzyme is 24.9 U/mg protein. Chromatography on Gly-Pro-AH-Sepharose is the most important procedure for the separation from other enzyme activities. The enzyme preparation is free of aminopeptidase, dipeptidase and prolyl endopeptidase activity; it can be used for peptide-sequence analysis.     

A suboptimal algorithm for de novo peptide sequencing via tandem mass spectrometry.

Tandem mass spectrometry has emerged to be one of the most powerful high-throughput techniques for protein identification. Tandem mass spectrometry selects and fragments peptides of interest into N-terminal ions and C-terminal ions, and it measures the mass/charge ratios of these ions. The de novo peptide sequencing problem is to derive the peptide sequences from given tandem mass spectral data of k ion peaks without searching against protein databases. By transforming the spectral data into a matrix spectrum graph G = (V, E), where |V| = O(k(2)) and |E| = O(k(3)), we give the first polynomial time suboptimal algorithm that finds all the suboptimal solutions (peptides) in O(p|E|) time, where p is the number of solutions. The algorithm has been implemented and tested on experimental data. The program is available at http://hto-c.usc.edu:8000/msms/menu/denovo.htm.     

De novo peptide sequencing via tandem mass spectrometry.

Peptide sequencing via tandem mass spectrometry (MS/MS) is one of the most powerful tools in proteomics for identifying proteins. Because complete genome sequences are accumulating rapidly, the recent trend in interpretation of MS/MS spectra has been database search. However, de novo MS/MS spectral interpretation remains an open problem typically involving manual interpretation by expert mass spectrometrists. We have developed a new algorithm, SHERENGA, for de novo interpretation that automatically learns fragment ion types and intensity thresholds from a collection of test spectra generated from any type of mass spectrometer. The test data are used to construct optimal path scoring in the graph representations of MS/MS spectra. A ranked list of high scoring paths corresponds to potential peptide sequences. SHERENGA is most useful for interpreting sequences of peptides resulting from unknown proteins and for validating the results of database search algorithms in fully automated, high-throughput peptide sequencing.     

Fast atom bombardment: A new mass spectrometric method for peptide sequence analysis

We have studied a selection of peptides using a new mass spectrometric ionisation technique - fast atom bombardment (FAB). We define the fragmentation pathways observed and comment on the utility in sequence analysis. A simple acetylation experiment is shown to aid rapid sequence assignment.     

Modeling and characterization of multi-charge mass spectra for peptide sequencing

Peptide sequencing using tandem mass spectrometry data is an important and challenging problem in proteomics. We address the problem of peptide sequencing for multi-charge spectra. Most peptide sequencing algorithms currently consider only charge one or two ions even for higher-charge spectra. We give a characterization of multi-charge spectra by generalizing existing models. Using our models, we analyzed spectra from Global Proteome Machine (GPM) [Craig R, Cortens JP, Beavis RC, J Proteome Res 3:1234-1242, 2004.] (with charges 1-5), Institute for Systems Biology (ISB) [Keller A, Purvine S, Nesvizhskii AI, Stolyar S, Goodlett DR, Kolker E, OMICS 6:207-212, 2002.] and Orbitrap (both with charges 1-3). Our analysis for the GPM dataset shows that higher charge peaks contribute significantly to prediction of the complete peptide. They also help to explain why existing algorithms do not perform well on multi-charge spectra. Based on these analyses, we claim that peptide sequencing algorithms can achieve higher sensitivity results if they also consider higher charge ions. We verify this claim by proposing a de novo sequencing algorithm called the greedy best strong tag (GBST) algorithm that is simple but considers higher charge ions based on our new model. Evaluation on multi-charge spectra shows that our simple GBST algorithm outperforms Lutefisk and PepNovo, especially for the GPM spectra of charge three or more.     

Amino acid sequencing by gas chromatography-mass spectrometry using perfluoro-dideuteroalkylated peptide derivatives: B. Interpretation of the mass spectra

The mass spectra of the O-trimethylsilylated trifluoro-dideuteroethyl polyamino alcohols, produced by LiAlD₄-reduction and O-trimethylsilylation of N-trifluororacetyl oligopeptide methyl esters, are evaluated. Characteristic mass spectra of derivatives are shown which are derived from peptides containing all protein amino acids including Arg, His, Trp, Gln, Asn and carboxyl terminal amides as well as modified Cys-residues. The mass spectra of these derivatives can be easily interpreted in terms of the amino acid sequence of the original peptides since they contain abundant and intensity-balanced sequence-determining ions.     

Evaluation of endogenous plasma peptide extraction methods for mass spectrometric biomarker discovery

Peptides have a role in the inflammatory response, tumor biology, and endocrine processes, presenting them as appealing biomarker candidates. However, peptide extraction efficacy for clinical profiling remains a pivotal technological challenge, as maximum coverage of the plasma peptidome is limited by a range of factors including the inherent complexity of human plasma and the lower concentration of peptides compared to abundant proteins. The aim of this study was to evaluate commonly employed peptide extraction methodologies in terms of total number of peptides detected and the mass range of peptides observed by MALDI. Despite showing coelution of proteins, solid-phase extraction (SPE) methods exhibited superior plasma peptide recovery than ultrafiltration, acetonitrile (ACN) precipitation, or size-exclusion chromatography methods under conditions employed in the study. Not surprisingly, in line with studies challenging the veracity of many peptide biomarker studies, the majority of identified peptides eluted from SPE methods corresponded to proteolytic truncations of the most abundant plasma proteins. The prefractionation of plasma with acetonitrile precipitation prior to SPE provided distinct ion signal profiles and is worthy of further study. In conclusion, this study favors the use of SPE in peptide extraction protocols for increased biomarker coverage and diversity from the plasma peptidome.     

Tryptophan reaction with free radicals arisen from carbon tetrachloride in a model system. A mass spectrometric study

SUMMARY

The interaction between free radicals derived from the thermal decomposition of carbon tetrachloride and N-acetyl-d, l-tryptophan ethyl ester (TRPAE) under anaerobic and aerobic conditions was studied. The structure of the reaction products formed was deciphered by the GC/MS analysis of their trimethylsilyl derivatives. Under anaerobic conditions no formation of reaction products was detected. Under aerobic conditions the following products were identified:

• 1. A chloro hydroxy unsaturated adduct of TRPAE (2 isomers).

• 2. A dichloro hydroxy unsaturated adduct of TRPAE.

• 3. 12 products which are different pyrrolo[2,3-b]indol derivatives.

Some of the products appeared to have an hydroxyl group as a substituent, all of them contained chlorine and only one contained carbon from CCl₄. Interestingly, the formation of those adducts not containing CCl₃ would be missed during the regular procedures toxicologists use to determine the so-called ‘covalent binding’ employing ¹⁴CCl₄.

Concerning the potential relevance of these findings, we hypothesize that if interactions similar to those here reported occurred at least in part during CCl₄ poisoning, the resulting critical proteins containing tryptophan, e.g. membrane or other and enzymes containing the amino acid in their active center, might be impaired.     

Influenza A hemagglutinin C-terminal anchoring peptide: identification and mass spectrometric study

MALDI-TOF MS and N-terminal amino acid sequencing allowed us to identify several fragments of the C-terminal peptide of Influenza A hemagglutinin (HA) containing transmembrane domains (TMD). These fragments were detected in the organic phase of chloroform-methanol extracts from bromelain-treated virus particles. Heterogeneous fatty acylation of the C-terminus was revealed. Tritium bombardment technique might open an opportunity for 3D structural investigation of the HA TMD in situ.     

A dynamic programming approach to de novo peptide sequencing via tandem mass spectrometry.

Tandem mass spectrometry fragments a large number of molecules of the same peptide sequence into charged molecules of prefix and suffix peptide subsequences and then measures mass/charge ratios of these ions. The de novo peptide sequencing problem is to reconstruct the peptide sequence from a given tandem mass spectral data of k ions. By implicitly transforming the spectral data into an NC-spectrum graph G (V, E) where /V/ = 2k + 2, we can solve this problem in O(/V//E/) time and O(/V/2) space using dynamic programming. For an ideal noise-free spectrum with only b- and y-ions, we improve the algorithm to O(/V/ + /E/) time and O(/V/) space. Our approach can be further used to discover a modified amino acid in O(/V//E/) time. The algorithms have been implemented and tested on experimental data.     

A system for shotgun DNA sequencing.

A multipurpose cloning site has been introduced into the gene for beta-galactosidase (beta-D-galactosidegalactohydrolase, EC 3.21.23) on the single-stranded DNA phage M13mp2 (Gronenborn, B. and Messing, J., (1978) Nature 272, 375-377) with the use of synthetic DNA. The site contributes 14 additional codons and does not affect the ability of the lac gene product to undergo intracistronic complementation. Two restriction endonuclease cleavage sites in the viral gene II were removed by single base-pair mutations. Using the new phage M13mp7, DNA fragments generated by cleavage with a variety of different restriction endonucleases can be cloned directly. The nucleotide sequences of the cloned DNAs can be determined rapidly by DNA synthesis using chain terminators and a synthetic oligonucleotide primer complementary to 15 bases preceeding the new array of restriction sites.     

Calibration of mass spectrometric peptide mass fingerprint data without specific external or internal calibrants

Background  

Peptide Mass Fingerprinting (PMF) is a widely used mass spectrometry (MS) method of analysis of proteins and peptides. It relies on the comparison between experimentally determined and theoretical mass spectra. The PMF process requires calibration, usually performed with external or internal calibrants of known molecular masses.     

Sequence analysis of peptide mixtures by automated integration of Edman and mass spectrometric data.

A computer algorithm is described that utilizes both Edman and mass spectrometric data for simultaneous determination of the amino acid sequences of several peptides in a mixture. Gas phase sequencing of a peptide mixture results in a list of observed amino acids for each cycle of Edman degradation, which by itself may not be informative and typically requires reanalysis following additional chromatographic steps. Tandem mass spectrometry, on the other hand, has a proven ability to analyze sequences of peptides present in mixtures. However, mass spectrometric data may lack a complete set of sequence-defining fragment ions, so that more than one possible sequence may account for the observed fragment ions. A combination of the two types of data reduces the ambiguity inherent in each. The algorithm first utilizes the Edman data to determine all hypothetical sequences with a calculated mass equal to the observed mass of one of the peptides present in the mixture. These sequences are then assigned figures of merit according to how well each of them accounts for the fragment ions in the tandem mass spectrum of that peptide. The program was tested on tryptic and chymotryptic peptides from hen lysozyme, and the results are compared with those of another computer program that uses only mass spectral data for peptide sequencing. In order to assess the utility of this method the program is tested using simulated mixtures of varying complexity and tandem mass spectra of varying quality.     

An integrated, directed mass spectrometric approach for in-depth characterization of complex peptide mixtures

LC-MS/MS has emerged as the method of choice for the identification and quantification of protein sample mixtures. For very complex samples such as complete proteomes, the most commonly used LC-MS/MS method, data-dependent acquisition (DDA) precursor selection, is of limited utility. The limited scan speed of current mass spectrometers along with the highly redundant selection of the most intense precursor ions generates a bias in the pool of identified proteins toward those of higher abundance. A directed LC-MS/MS approach that alleviates the limitations of DDA precursor ion selection by decoupling peak detection and sequencing of selected precursor ions is presented. In the first stage of the strategy, all detectable peptide ion signals are extracted from high resolution LC-MS feature maps or aligned sets of feature maps. The selected features or a subset thereof are subsequently sequenced in sequential, non-redundant directed LC-MS/MS experiments, and the MS/MS data are mapped back to the original LC-MS feature map in a fully automated manner. The strategy, implemented on an LTQ-FT MS platform, allowed the specific sequencing of 2,000 features per analysis and enabled the identification of more than 1,600 phosphorylation sites using a single reversed phase separation dimension without the need for time-consuming prefractionation steps. Compared with conventional DDA LC-MS/MS experiments, a substantially higher number of peptides could be identified from a sample, and this increase was more pronounced for low intensity precursor ions.     

Partial vapor-phase hydrolysis of peptide bonds: A method for mass spectrometric determination of O-glycosylated sites in glycopeptides

In this study we present a method for determination of O-glycosylation sites in glycopeptides, based on partial vapor-phase acid hydrolysis in combination with mass spectrometric analysis. Pentafluoropropionic acid and hydrochloric acid were used for the hydrolysis of glycosylated peptides. The reaction conditions were optimized for efficient polypeptide backbone cleavages with minimal cleavage of glycosidic bonds. The glycosylated residues were identified by mass spectrometric analysis of the hydrolytic cleavage products. Although glycosidic bonds are partially cleaved under acid hydrolysis, the resulting mass spectra allowed unambiguous determination of the glycosylation sites. Examples are shown with mannosyl- and mucin-type glycopeptides. Performing the hydrolysis in vapor eliminates the risk for contamination of the sample with impurities from the reagents, thus allowing analysis of the reaction products without further purification both by matrix-assisted laser desorption/ionization and electrospray ionization mass spectrometry.     

Identification of naturally processed ligands in the C57BL/6 mouse using large-scale mass spectrometric peptide sequencing and bioinformatics prediction

Most major histocompatibility complex (MHC) class I–peptide-binding motifs are currently defined on the basis of quantitative in vitro MHC–peptide-binding assays. This information is used to develop bioinformatics-based tools to predict the binding of peptides to MHC class I molecules. To date few studies have analyzed the performance of these bioinformatics tools to predict the binding of peptides determined by sequencing of naturally processed peptides eluted directly from MHC class I molecules. In this study, we performed large-scale sequencing of endogenous peptides eluted from H2K^b and H2D^b molecules expressed in spleens of C57BL/6 mice. Using sequence data from 281 peptides, we identified novel preferred anchor residues located in H2K^b and H2D^b-associated peptides that refine our knowledge of these H2 class I peptide-binding motifs. The analysis comparing the performance of three bioinformatics methods to predict the binding of these peptides, including artificial neural network, stabilized matrix method, and average relative binding, revealed that 61% to 94% of peptides eluted from H2K^b and H2D^b molecules were correctly classified as binders by the three algorithms. These results suggest that bioinformatics tools are reliable and efficient methods for binding prediction of naturally processed MHC class I ligands. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.