Informatics for protein identification by mass spectrometry

High throughput protein analysis (i.e., proteomics) first became possible when sensitive peptide mass mapping techniques were developed, thereby allowing for the possibility of identifying and cataloging most 2D gel electrophoresis spots. Shortly thereafter a few groups pioneered the idea of identifying proteins by using peptide tandem mass spectra to search protein sequence databases. Hence, it became possible to identify proteins from very complex mixtures. One drawback to these latter techniques is that it is not entirely straightforward to make matches using tandem mass spectra of peptides that are modified or have sequences that differ slightly from what is present in the sequence database that is being searched. This has been part of the motivation behind automated de novo sequencing programs that attempt to derive a peptide sequence regardless of its presence in a sequence database. The sequence candidates thus generated are then subjected to homology-based database search programs (e.g., BLAST or FASTA). These homology search programs, however, were not developed with mass spectrometry in mind, and it became necessary to make minor modifications such that mass spectrometric ambiguities can be taken into account when comparing query and database sequences. Finally, this review will discuss the important issue of validating protein identifications. All of the search programs will produce a top ranked answer; however, only the credulous are willing to accept them carte blanche.     

Mutation-tolerant protein identification by mass spectrometry.

Database search in tandem mass spectrometry is a powerful tool for protein identification. High-throughput spectral acquisition raises the problem of dealing with genetic variation and peptide modifications within a population of related proteins. A method that cross-correlates and clusters related spectra in large collections of uncharacterized spectra (i.e., from normal and diseased individuals) would be very valuable in functional proteomics. This problem is far from being simple since very similar peptides may have very different spectra. We introduce a new notion of spectral similarity that allows one to identify related spectra even if the corresponding peptides have multiple modifications/mutations. Based on this notion, we developed a new algorithm for mutation-tolerant database search as well as a method for cross-correlating related uncharacterized spectra.     

Mapping protein interactions by combining antibody affinity maturation and mass spectrometry

Mapping protein interactions by immunoprecipitation is limited by the availability of antibodies recognizing available native epitopes within protein complexes with sufficient affinity. Here we demonstrate a scalable approach for generation of such antibodies using phage display and affinity maturation. We combined antibody variable heavy (V_H) genes from target-specific clones (recognizing Src homology 2 (SH2) domains of LYN, VAV1, NCK1, ZAP70, PTPN11, CRK, LCK, and SHC1) with a repertoire of 10⁸ to 10⁹ new variable light (V_L) genes. Improved binders were isolated by stringent selections from these new “chain-shuffled” libraries. We also developed a predictive 96-well immunocapture screen and found that only 12% of antibodies had sufficient affinity/epitope availability to capture endogenous target from lysates. Using antibodies of different affinities to the same epitope, we show that affinity improvement was a key determinant for success and identified a clear affinity threshold value (60 nM for SHC1) that must be breached for success in immunoprecipitation. By combining affinity capture using matured antibodies to SHC1 with mass spectrometry, we identified seven known binding partners and two known SHC1 phosphorylation sites in epidermal growth factor (EGF)-stimulated human breast cancer epithelial cells. These results demonstrate that antibodies capable of immunoprecipitation can be generated by chain shuffling, providing a scalable approach to mapping protein–protein interaction networks.     

Ligand-induced conformational changes in the acetylcholine-binding protein analyzed by hydrogen-deuterium exchange mass spectrometry

Recent x-ray crystallographic studies of the acetylcholine-binding protein (AChBP) suggest that loop C, found at the circumference of the pentameric molecule, shows distinctive conformational changes upon antagonist and agonist occupation. We have employed hydrogen-deuterium exchange mass spectrometry to examine the influence of bound ligands on solvent exposure of AChBP. Quantitative measurements of deuterium incorporation are possible for approximately 56% of the Lymnaea AChBP sequence, covering primarily the outer surface of AChBP. In the apoprotein, two regions flanking the ligand occupation site at the subunit interface, loop C (residues 175-193) and loop F (residues 164-171), show greater extents of solvent exchange than other regions of the protein including the N- and C-terminal regions. Occupation by nicotinic agonists, epibatidine and lobeline, and nicotinic antagonists, methyllycaconitine, alpha-bungarotoxin, and alpha-cobratoxin, markedly restricts the exchange of loop C amide protons, influencing both the rates and degrees of exchange. Solvent exposure of loop C and its protection by ligand suggest that in the apoprotein, loop C exhibits rapid fluctuations in an open conformation. Bound agonists restrict solvent exposure through loop closure, whereas the larger antagonists restrict solvent exposure largely through occlusion of solvent. Loop F, found on the complementary subunit surface at the interface, also reveals ligand selective changes in amide proton exchange rates. Agonists do not affect solvent accessibility of loop F, whereas certain antagonists cause subtle accessibility changes. These results reveal dynamic states and fluctuating movements in the vicinity of the binding site for unligated AChBP that can be influenced selectively by ligands.     

Optimization of protein identification from digests as analyzed by capillary isoelectric focusing-mass spectrometry

Capillary isoelectric focusing (CIEF) is a high-resolution separation technique for the analysis of peptides and protein digests. When coupled to ion trap-mass spectrometry (CIEF-MS) the unique separation mechanism is combined with a highly efficient detection system. In an earlier report, we described aspects of separation and interfacing in connection to the analysis of a digest of set of standard proteins. Now, we report on different aspects of the process of protein identification. Sequest software parameters were optimized by using a standard protein digest. These settings were used for the analysis of periplasmic proteins from Escherichia coli. Since in CIEF peptides are focused according to their pI values, the mobilization time of a particular peptide is dependent on its pI value. Based on this relation, the identification of some peptides was facilitated. Furthermore, the Sequest settings that were used could be evaluated. In total, 159 proteins were identified in a single run.     

Evaluation of parameters in peptide mass fingerprinting for protein identification by MALDI-TOF mass spectrometry

Protein identification by peptide mass fingerprinting, using the matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS), plays a major role in large proteome projects. In order to develop a simple and reliable method for protein identification by MALDI-TOF MS, we compared and evaluated the major steps in peptide mass fingerprinting. We found that the removal of excess enzyme from the in-gel digestion usually gave a few more peptide peaks, which were important for the identification of some proteins. Internal calibration always gave better results. However, for a large number of samples, two step calibrations (i.e. database search with peptide mass from external calibration, then the use of peptide masses from the search result as internal calibrants) were useful and convenient. From the evaluation and combination of steps that were already developed by others, we established a single overall procedure for peptide identification from a polyacrylamide gel.     

Direct identification of a G protein ubiquitination site by mass spectrometry

Covalent attachment of ubiquitin is well-known to target proteins for degradation. Here, mass spectrometry was used to identify the site of ubiquitination in Gpa1, the G protein alpha subunit in yeast Saccharomyces cerevisiae. The modified residue is located at Lys165 within the alpha-helical domain of Galpha, a region of unknown function. Substitution of Lys165 with Arg (Gpa1(K165R)) results in a substantial decrease in ubiquitination. In addition, yeast expressing the Gpa1(K165R) mutant are moderately resistant to pheromone in growth inhibition assays-a phenotype consistent with enhanced Galpha signaling activity. These findings indicate that the alpha-helical domain may serve to regulate the turnover of Gpa1.     

Modulation by nutrients and drugs of liver acyl-CoAs analyzed by mass spectrometry

The profile of liver acyl-CoAs induced by dietary fats of variable compositions or by xenobiotic hypolipidemic amphipathic carboxylates was evaluated in vivo using a novel electrospray ionization tandem mass spectrometry methodology of high resolution, sensitivity, and reliability. The composition of liver fatty acyl-CoAs was found to reflect the composition of dietary fat. Treatment with hypolipidemic carboxylates resulted in liver dominant abundance of their respective acyl-CoAs accompanied by an increase in liver fatty acyl-CoAs. Cellular effects exerted by dietary fatty acids and/or xenobiotic carboxylic drugs may be transduced in vivo by their respective acyl-CoAs.     

Proteomic profiling and protein identification by MALDI-TOF mass spectrometry in unsequenced parasitic nematodes

Lack of genomic sequence data and the relatively high cost of tandem mass spectrometry have hampered proteomic investigations into helminths, such as resolving the mechanism underpinning globally reported anthelmintic resistance. Whilst detailed mechanisms of resistance remain unknown for the majority of drug-parasite interactions, gene mutations and changes in gene and protein expression are proposed key aspects of resistance. Comparative proteomic analysis of drug-resistant and -susceptible nematodes may reveal protein profiles reflecting drug-related phenotypes. Using the gastro-intestinal nematode, Haemonchus contortus as case study, we report the application of freely available expressed sequence tag (EST) datasets to support proteomic studies in unsequenced nematodes. EST datasets were translated to theoretical protein sequences to generate a searchable database. In conjunction with matrix-assisted laser desorption ionisation time-of-flight mass spectrometry (MALDI-TOF-MS), Peptide Mass Fingerprint (PMF) searching of databases enabled a cost-effective protein identification strategy. The effectiveness of this approach was verified in comparison with MS/MS de novo sequencing with searching of the same EST protein database and subsequent searches of the NCBInr protein database using the Basic Local Alignment Search Tool (BLAST) to provide protein annotation. Of 100 proteins from 2-DE gel spots, 62 were identified by MALDI-TOF-MS and PMF searching of the EST database. Twenty randomly selected spots were analysed by electrospray MS/MS and MASCOT Ion Searches of the same database. The resulting sequences were subjected to BLAST searches of the NCBI protein database to provide annotation of the proteins and confirm concordance in protein identity from both approaches. Further confirmation of protein identifications from the MS/MS data were obtained by de novo sequencing of peptides, followed by FASTS algorithm searches of the EST putative protein database. This study demonstrates the cost-effective use of available EST databases and inexpensive, accessible MALDI-TOF MS in conjunction with PMF for reliable protein identification in unsequenced organisms.     

Multiwell in-gel protein digestion and microscale sample preparation for protein identification by mass spectrometry

In-gel peptide digestion has become a widely used technique for characterizing proteins resolved by two-dimensional gel electrophoresis. Peptides generated from gel pieces are frequently contaminated with detergent and salts. Prior to matrix-assisted laser desorption/ionization-time of flight mass spectrometry analysis, these contaminants are removed using micro scale C18 sample preparation columns. In this paper, data are presented to demonstrate the application of a solvent resistant MultiScreen 96-well plate with a low peptide binding membrane and ZipTip micropipette based sample preparation. Recoveries of peptides (m/z of 1000 to 5000 Da) derived from standard protein protease digests, were estimated at various stages of the analytical process. An optimized protocol has been established and all the reagents and consumables have been packaged in a ready to use commercial kit. Data will be presented to show the application of this technology package to accelerate the throughput of protein characterization by protease fragmentation.     

Curie-point pyrolysis mass spectrometry applied to characterization and identification of selected Bacillus species

The use of pyrolysis mass spectrometry in the characterization and identification of Bacillus species was studied. Fifty-three strains of four closely related groups, Bacillus subtilis, B. pumilus, B. licheniformis and 'B. amyloliquefaciens', were used in a study of both sporulated and nonsporulated cultures. Pyrolysis was carried out using a Pyromass 8-80, a novel pyrolysis mass spectrometer specifically designed for fingerprinting complex samples. The pyrolysis data obtained were analysed using multivariate statistical techniques. All four groups could be differentiated using data from non-sporulated cultures but the data from sporulated cultures did not separate B. subtilis from 'B. amyloliquefaciens' or B. pumilus. In contrast, B. licheniformis was more clearly differentiated from the other three species using these data. Culture maturity affected the mass spectra obtained from non-sporulated cultures.     

N-Terminal protein modifications in an insect cell-free protein synthesis system and their identification by mass spectrometry

To evaluate the ability of an insect cell-free protein synthesis system to generate proper N-terminal cotranslational protein modifications such as removal of the initiating Met, N-acetylation, and N-myristoylation, several mutants were constructed using truncated human gelsolin (tGelsolin) as a model protein. Tryptic digests of these mutants were analyzed by MALDI-TOF MS and MALDI-quadrupole-IT-TOF MS. The wild-type tGelsolin, which is an N-myristoylated protein, was found to be N-myristoylated when myristoyl-CoA was added to the in vitro translation reaction mixture. N-myristoylation did not occur on the Gly-2 to Ala mutant, in which the N-myristoylation motif was disrupted, whereas this mutant was found to be N-acetylated after removal of the initiating Met. Analyses of Gly-2 to His and Leu-3 to Asp mutants revealed that the amino acids at positions 2 and 3 strongly affect the susceptibility of the nascent peptide chain to removal of the initiating Met and to N-acetylation, respectively. These results suggest that N-terminal modifications occurring in the insect cell-free protein synthesis system are quite similar to those observed in the mammalian protein synthesis system. Thus, a combination of the cell-free protein synthesis system with MS is an effective strategy to analyze protein modifications.     

Chemometric discrimination of unfractionated plant extracts analyzed by electrospray mass spectrometry

Metabolic fingerprints were obtained from unfractionated Pharbitis nil leaf sap samples by direct infusion into an electrospray ionization mass spectrometer. Analyses took less than 30 s per sample and yielded complex mass spectra. Various chemometric methods, including discriminant function analysis and the machine-learning methods of artificial neural networks and genetic programming, could discriminate the metabolic fingerprints of plants subjected to different photoperiod treatments. This rapid automated analytical procedure could find use in a variety of phytochemical applications requiring high sample throughput.     

Identifying common metalloprotease inhibitors by protein fold types using Fourier transform mass spectrometry

Fourteen natural products, known to inhibit other proteins of the Zincin-like fold class, were screened for inhibition of the Zincin-like fold metalloprotease thermolysin using mass spectrometry. Fourier Transform Mass Spectrometry was successful in identifying actinonin, a known inhibitor of astacin and stromelysin, to be an inhibitor of thermolysin. Molecular modelling studies have shown that specificity within the Zincin-like fold is determined by Protein Fold Topology.     

Solvent accessibility of native and hydrolyzed human complement protein 3 analyzed by hydrogen/deuterium exchange and mass spectrometry

Complement protein C3 is a 187-kDa (1641-aa) protein that plays a key role in complement activation and immune responses. Its hydrolyzed form, C3(H2O), is responsible for the initiation of the activation of alternative complement pathway. Previous analyses using mAbs, anilinonaphthalenesulfonate dyes, and functional studies have suggested that C3 is conformationally different from C3(H2O). We have used amide hydrogen/deuterium exchange and MALDI-TOF mass spectrometry to identify and localize structural differences between native C3 and C3(H2O). Both proteins were incubated in D2O for varying amounts of time, digested with pepsin, and then subjected to mass-spectrometric analysis. Of 111 C3 peptides identified in the MALDI-TOF analysis, 31 had well-resolved isotopic mass envelopes in both C3 and C3(H2O) spectra. Following the conversion of native C3 to C3(H2O), 17 of these 31 peptides exhibited a change in deuterium incorporation, suggesting a conformational change in these regions. Among the identified peptides, hydrogen/deuterium exchange data were obtained for peptides 944-967, 1211-1228, 1211-1231, 1259-1270, 1259-1273, 1295-1318, and 1319-1330, which span the factor H binding site on C3d and factor I cleavage sites, and peptides 1034-1048, 1049-1058, 1069-1080, 1130-1143, 1130-1145, 1211-1228, 1211-1231, 1259-1270, and 1259-1273, spanning 30% of the C3d region of C3. Our results suggest that hydrolysis may produce a looser (more open) structure in the C3d region, in which some of the changes affect the conversion of helical segments into coil segments facilitating interactions with factors I and H. This study represents the first detailed study mapping the regions of C3 involved in conformational transition when hydrolyzed to C3(H2O).     

Randomized sequence databases for tandem mass spectrometry peptide and protein identification

Tandem mass spectrometry (MS/MS) combined with database searching is currently the most widely used method for high-throughput peptide and protein identification. Many different algorithms, scoring criteria, and statistical models have been used to identify peptides and proteins in complex biological samples, and many studies, including our own, describe the accuracy of these identifications, using at best generic terms such as "high confidence." False positive identification rates for these criteria can vary substantially with changing organisms under study, growth conditions, sequence databases, experimental protocols, and instrumentation; therefore, study-specific methods are needed to estimate the accuracy (false positive rates) of these peptide and protein identifications. We present and evaluate methods for estimating false positive identification rates based on searches of randomized databases (reversed and reshuffled). We examine the use of separate searches of a forward then a randomized database and combined searches of a randomized database appended to a forward sequence database. Estimated error rates from randomized database searches are first compared against actual error rates from MS/MS runs of known protein standards. These methods are then applied to biological samples of the model microorganism Shewanella oneidensis strain MR-1. Based on the results obtained in this study, we recommend the use of use of combined searches of a reshuffled database appended to a forward sequence database as a means providing quantitative estimates of false positive identification rates of peptides and proteins. This will allow researchers to set criteria and thresholds to achieve a desired error rate and provide the scientific community with direct and quantifiable measures of peptide and protein identification accuracy as opposed to vague assessments such as "high confidence."