A molecular scanner to automate proteomic research and to display proteome images

Identification and characterization of all proteins expressed by a genome in biological samples represent major challenges in proteomics. Today's commonly used high-throughput approaches combine two-dimensional electrophoresis (2-DE) with peptide mass fingerprinting (PMF) analysis. Although automation is often possible, a number of limitations still adversely affect the rate of protein identification and annotation in 2-DE databases: the sequential excision process of pieces of gel containing protein; the enzymatic digestion step; the interpretation of mass spectra (reliability of identifications); and the manual updating of 2-DE databases. We present a highly automated method that generates a fully annoated 2-DE map. Using a parallel process, all proteins of a 2-DE are first simultaneously digested proteolytically and electro-transferred onto a poly(vinylidene difluoride) membrane. The membrane is then directly scanned by MALDI-TOF MS. After automated protein identification from the obtained peptide mass fingerprints using PeptIdent software (http://www.expasy.ch/tools/peptident.html + ++), a fully annotated 2-D map is created on-line. It is a multidimensional representation of a proteome that contains interpreted PMF data in addition to protein identification results. This "MS-imaging" method represents a major step toward the development of a clinical molecular scanner.     

Identification of trichloroethanol visualized proteins from two-dimensional polyacrylamide gels by mass spectrometry

Proteins visualized by 2,2,2-trichloroethanol (TCE) on two-dimensional electrophoresis gels are efficiently identified by matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) and MS/MS. In a previous study, a method was developed that placed TCE in the polyacrylamide gel so that protein bands can be visualized without staining in less than 5 min. A visible fluorophore is generated by reaction of TCE with tryptophan that allows for protein visualization. In this study, MALDI-TOF MS and LC-MS/MS are used to identify randomly selected Escherichia coli proteins. The identification of TCE visualized proteins is compared to the identification of Coomassie brilliant blue (CBB) stained proteins from two-dimensional gel electrophoresis of E. coli proteins. This study demonstrated that TCE visualized proteins are compatible with protein identification by MALDI-TOF peptide mass fingerprinting. For 10 randomly selected spots, TCE visualization lead to statistically significant identification of 5 proteins and CBB visualization lead to identification of 6 proteins. TCE visualized proteins are also shown to be well suited for protein identification using LC-MS/MS. In 16 spots selected for MS/MS analysis, TCE samples lead to the identification of 79 peptides; while CBB samples lead to the identification of 65 peptides. TCE samples also supported the identification of more proteins. The low stoichiometry of labeling of tryptophan residues does not require inclusion of this modification for database searches. In addition to being a rapid visualization technique compatible with MS, TCE visualization utilizes rapid washing conditions for sample preparation of proteins spots excised from polyacrylamide gels.     

Characterization of transthyretin variants in familial transthyretin amyloidosis by mass spectrometric peptide mapping and DNA sequence analysis

Transthyretin (TTR) is a 127-amino acid residue transport protein. In plasma, TTR exists as a tetramer and binds the hormone thyroxine and the retinol-binding protein-vitamin A complex. Amino acid substitutions in TTR are hypothesized to destabilize the tetramer and cause the protein to form intermediates that self-associate into amyloid fibrils. Familial transthyretin amyloidosis (ATTR) is associated with extracellular deposition of wild-type TTR, its variants or fragments as amyloid fibrils in various tissues and organs. A definitive diagnosis of ATTR depends on the detection and identification of TTR variants. Electrospray ionization (ESI) and matrix-assisted laser desorption/ionization (MALDI) time-of-flight (TOF) mass spectrometry (MS), in combination with trypsin digestion, have been shown to be powerful tools in characterizing TTR variants. Typically, TTR or its tryptic digest is analyzed by MALDI-TOF MS, liquid chromatography ESI MS, or both. Analysis of tryptic digests by MALDI-TOF MS does not provide enough sequence coverage in TTR to identify all possible modifications. To improve sequence coverage, aliquots of immunoprecipitated TTR samples were digested with trypsin, lysyl endopeptidase Lys-C, or endoproteinase Asp-N. Identification of the peptides from each digest by MALDI-TOF MS provided preliminary information about the sites and mass shifts due to amino acid substitutions from genetic mutations and to posttranslational modifications. The location and identity of the modifications in the variant proteins were then confirmed by tandem mass spectrometry, accurate mass measurements, and direct DNA sequence analysis. Using these methodologies, we achieved 100% sequence coverage. The detection of two nonpathologic variants (Thr119Met and Gly6Ser) and four pathologic variants (Phe64Leu, Asp38Ala, Phe44Ser, and previously unreported Trp41Leu) are described as illustrations of this approach.     

Signal amplification using "spot-on-a-chip" technology for the identification of proteins via MALDI-TOF MS

The presented "spot-on-a-chip" technology enables easy enrichment of samples in the low nanomolar (1-5 nM) range and provides a fast and reliable automated sample preparation method for performing matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) analysis with high sensitivity and throughput. Through microdispensing, which allows accurate deposition of 60-pL droplets, dilute samples were enriched by making multiple droplet depositions in nanovials. The sample was confined to a defined spot area (300 x 300 microm), and multiple depositions increase the surface density of analyte in the nanovial, thereby providing detection of low attomole levels. The impact of the nanovial geometry with respect to the MALDI-TOF MS resolution for peptides deposited in the microfabricated silicon vials was investigated and the optimal geometry and size were determined. The spot-on-a-chip technology, that is, the combination of microdispensing, micromachined silicon nanovials and on-spot enrichment provides a signal amplification of at least 10-50 times as compared to an ordinary sample preparation. The linearity of the enrichment effect is shown by the analysis of a peptide mixture at the 5 nM level. The signal amplification provided by the spot-on-a-chip enrichment is demonstrated by the analysis of relevant biological samples, interleukin-8 from a spiked cell supernatant, and by successful protein identification of an excised spot from a high-sensitivity silver-stained two-dimensional electrophoresis gel separation.     

Integrated sample processing system involving on-column protein adsorption, sample washing, and enzyme digestion for protein identification by LC-ESI MS/MS

An automated system has been developed for protein identification using mass spectrometry that incorporates sample cleanup, preconcentration, and protein digestion in a single stage. The procedure involves the adsorption of a protein or a protein mixture from solution onto a hydrophobic medium that is contained within a microcolumn. The protein is digested while still bound to the hydrophobic support. The peptides are then eluted from surface digestion to an electrospray ionization mass spectrometer for detection and sequencing. The entire system is fully automated wherein the mass spectrometer is collecting data continuously. We demonstrate that this system is capable of identifying standard protein samples at concentrations down to 100 nM. Further development of this technique may offer a potential solution for proteomics applications that require unattended operation, such as on-line monitoring and identification of microorganisms on the basis of the detection of their protein biomarkers.     

Integrated platform for proteome profiling with combination of microreversed phase based protein and peptide separation via online solvent exchange and protein digestion

An online integrated platform for proteome profiling was established, with the combination of protein separation by microreversed phase liquid chromatography (μRPLC), online acetonitrile (ACN) removal, and pH adjustment by a hollow fiber membrane interface (HFMI), online digestion by an immobilized enzymatic microreactor (IMER), as well as peptide separation and proteins identification by μRPLC or nano-RPLC-electrospray ionization tandem mass spectrometry (μRPLC-ESI-MS/MS). To evaluate the performance of such a platform, a three-protein mixture with mass ranging from 5 to 500 ng was analyzed automatically. Compared to the offline counterpart, although similar protein sequence coverages were obtained by the integrated platform, the signal intensity of total ion chromatogram was improved by almost 4 times. In addition, such an integrated platform was further applied for the analysis of extracted proteins from rat brain. Compared to the results obtained by offline counterpart and traditional MudPIT approach under similar conditions, by the integrated platform, the identified protein group number was comparable, but the analysis time was shortened to less than half of that taken by the traditional approaches. All these results demonstrated that our developed integrated platform might offer a promising tool for high-throughput and large-scale profiling of proteomes.     

Proteomic profiling of intact mycobacteria by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

Current methods for the identification of mycobacteria in culture are time-consuming, requiring as long as 12 weeks for positive identification. One potential approach to rapid mycobacterial identification is to utilize proteomic profiling of cultures by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). In this report, we have applied MALDI-TOF MS to proteomic profiling of cultured microorganisms representing six species of the genus Mycobacterium. We find that analysis of acetonitrile/trifluoroacetic acid cellular extracts produces data similar to that of the analysis of deposited whole cells, while minimizing human contact with the microorganisms and rendering them nonviable. A matrix composition of alpha-cyano-4-hydroxycinnamic acid with fructose yields highly reproducible MALDI-TOF spectra. Statistical analysis of MALDI-TOF MS data allows differentiation of each individual mycobacterial species on the basis of unique mass fingerprints. The methodology allows identification of a number of unique (potentially diagnostic) biomarkers as targets for protein identification by MS/MS experiments. In addition, we observe a number of signals common to all mycobacterial species studied by MALDI-TOF MS, which may be genus-specific biomarkers. The potentially genus-specific biomarkers occur at low mass (<2 kDa) and are likely to be lipids and cell wall components such as mycolic acids. This study demonstrates the potential for mass spectrometry-based identification/classification of mycobacteria.     

Versatile online-offline engine for automated acquisition of high-resolution tandem mass spectra

For automated production of tandem mass spectrometric data for proteins and peptides >3 kDa at >50 000 resolution, a dual online-offline approach is presented here that improves upon standard liquid chromatography-tandem mass spectrometry (LC-MS/MS) strategies. An integrated hardware and software infrastructure analyzes online LC-MS data and intelligently determines which targets to interrogate offline using a posteriori knowledge such as prior observation, identification, and degree of characterization. This platform represents a way to implement accurate mass inclusion and exclusion lists in the context of a proteome project, automating collection of high-resolution MS/MS data that cannot currently be acquired on a chromatographic time scale at equivalent spectral quality. For intact proteins from an acid extract of human nuclei fractionated by reversed-phase liquid chromatography (RPLC), the automated offline system generated 57 successful identifications of protein forms arising from 30 distinct genes, a substantial improvement over online LC-MS/MS using the same 12 T LTQ FT Ultra instrument. Analysis of human nuclei subjected to a shotgun Lys-C digest using the same RPLC/automated offline sampling identified 147 unique peptides containing 29 co- and post-translational modifications. Expectation values ranged from 10 (-5) to 10 (-99), allowing routine multiplexed identifications.     

On-line monitoring of airborne chemistry in levitated nanodroplets: in situ synthesis and application of SERS-active Ag-Sols for trace analysis by FT-Raman spectroscopy

We report a new strategy for on-line monitoring of chemical reactions in ultrasonically levitated, nanoliter-sized droplets by Raman spectroscopy. A flow-through microdispenser connected to an automated flow injection system was used to dose picoliter droplets into the node of an ultrasonic trap. Taking advantage of the flow-through characteristics of the microdispenser and the versatility of the automated flow system, a well-defined sequence of reagents could be injected via the microdispenser into the levitated droplet placed in the focus of the collection optics of the Fourier transform Raman spectrometer. In that way, chemical reactions could be carried out and monitored on-line. The developed system was used for fast, reproducible, in situ synthesis of a highly active surface enhanced Raman scattering (SERS) sol resulting from the reduction of silver nitrate with hydroxylamine hydrochloride in basic conditions. With this chemical system, SERS substrate preparation could be achieved at room temperature and in short time. The in situ prepared silver sol was used for trace analysis of several organic test molecules that were injected into the levitated SERS-active droplet again using the microdispenser. The concentration dependence of the SERS spectra was studied using 9-aminoacridine, revealing that down to the femtogram region high-quality SERS spectra could be obtained. Additionally, SERS spectra of 6-mercaptopurine, thiamine, and acridine were recorded in the levitated drop as well.     

Processing complex mixtures of intact proteins for direct analysis by mass spectrometry

For analysis of intact proteins by mass spectrometry (MS), a new twist to a two-dimensional approach to proteome fractionation employs an acid-labile detergent instead of sodium dodecyl sulfate during continuous-elution gel electrophoresis. Use of this acid-labile surfactant (ALS) facilitates subsequent reversed-phase liquid chromatography (RPLC) for a net two-dimensional fractionation illustrated by transforming thousands of intact proteins from Saccharomyces cerevisiae to mixtures of 5-20 components (all within approximately 5 kDa of one another) for presentation via electrospray ionization (ESI) to a Fourier transform MS (FTMS). Between 3 and 13 proteins have been detected directly using ESI-FTMS (or MALDI-TOF), and the fractionation showed a peak capacity of approximately 400 between 0 and 70 kDa. A probability-based identification was made automatically from raw MS/MS data (obtained using a quadrupole-FTMS hybrid instrument) for one protein that differed from that predicted in a yeast database of approximately 19,000 protein forms. This ALS-PAGE/RPLC approach to proteome processing ameliorates the "front end" problem that accompanies direct analysis of whole proteins and assists the future realization of protein identification with 100% sequence coverage in a high-throughput format.     

Automated 20 kpsi RPLC-MS and MS/MS with chromatographic peak capacities of 1000-1500 and capabilities in proteomics and metabolomics

Proteomics analysis based-on reversed-phase liquid chromatography (RPLC) is widely practiced; however, variations providing cutting-edge RPLC performance have generally not been adopted even though their benefits are well established. Here, we describe an automated format 20 kpsi RPLC system for proteomics and metabolomics that includes on-line coupling of micro-solid phase extraction for sample loading and allows electrospray ionization emitters to be readily replaced. The system uses 50 microm i.d. x 40-200 cm fused-silica capillaries packed with 1.4-3-microm porous C18-bonded silica particles to obtain chromatographic peak capacities of 1000-1500 for complex peptide and metabolite mixtures. This separation quality provided high-confidence identifications of >12 000 different tryptic peptides from >2000 distinct Shewanella oneidensis proteins (approximately 40% of the proteins predicted for the S. oneidensis proteome) in a single 12-h ion trap tandem mass spectrometry (MS/MS) analysis. The protein identification reproducibility approached 90% between replicate experiments. The average protein MS/MS identification rate exceeded 10 proteins/min, and 1207 proteins were identified in 120 min through assignment of 5944 different peptides. The proteomic analysis dynamic range of the 20 kpsi RPLC-ion trap MS/MS was approximately 10(6) based on analyses of a human blood plasma sample, for which 835 distinct proteins were identified with high confidence in a single 12-h run. A single run of the 20 kpsi RPLC-accurate mass MS detected >5000 different compounds from a metabolomics sample.     

Ultrasensitive proteomics using high-efficiency on-line micro-SPE-nanoLC-nanoESI MS and MS/MS

Ultrasensitive nanoscale proteomics approaches for characterizing proteins from complex proteomic samples of <50 ng of total mass are described. Protein identifications from 0.5 pg of whole proteome extracts were enabled by ultrahigh sensitivity (<75 zmol for individual proteins) achieved using high-efficiency (peak capacities of approximately 10(3)) 15-microm-i.d. capillary liquid chromatography separations (i.e., using nanoLC, approximately 20 nL/min mobile-phase flow rate at the optimal linear velocity of approximately 0.2 cm/s) coupled on-line with a micro-solid-phase sample extraction and a nanoscale electrospray ionization interface to a 11.4-T Fourier transform ion cyclotron resonance (FTICR) mass spectrometer (MS). Proteome measurement coverage improved as sample size was increased from as little as 0.5 pg of sample. It was found that a 2.5-ng sample provided 14% coverage of all annotated open reading frames for the microorganism Deinococcus radiodurans, consistent with previous results for a specific culture condition. The estimated detection dynamic range for detected proteins was 10(5)-10(6). An improved accurate mass and LC elution time two-dimensional data analysis methodology, used to both speed and increase the confidence of peptide/protein identifications, enabled identification of 872 proteins/run from a single 3-h nanoLC/FTICR MS analysis. The low-zeptomole-level sensitivity provides a basis for extending proteomics studies to smaller cell populations and potentially to a single mammalian cell. Application with ion trap MS/MS instrumentation allowed protein identification from 50 pg (total mass) of proteomic samples (i.e., approximately 100 times larger than FTICR MS), corresponding to a sensitivity of approximately 7 amol for individual proteins. Compared with single-stage FTICR measurements, ion trap MS/MS provided a much lower proteome measurement coverage and dynamic range for a given analysis time and sample quantity.     

Nanoflow gradient generator coupled with mu-LC-ESI-MS/MS for protein identification

The large-scale identification of proteins from proteomes of complex organisms, and the availability of various types of protein and DNA databases, increasingly require the additional information provided by tandem mass spectrometry. HPLC and microLC coupled to ESI-MS/MS presently dominate the field of protein identification by tandem mass spectrometry and database searching. The analysis of protein digests is typically performed using HPLC or LC columns with 50-100-microm diameters, requiring the delivery of solvent gradients at low to mid nanoliter per minute flow rates. This has been typically achieved using expensive generic HPLC pumping systems for the delivery of microliter per minute gradients that were either flow-split or sampled. Here we present an alternative system for the delivery of nanoliter per minute gradients. The inexpensive nanoflow gradient generator (etagrad) described here can be modulated to reproducibly deliver selected gradients. The performance of the etagrad on-line with a microLC-ESI-MS/MS system has been demonstrated for the identification of standard protein digests. Moreover, the performance of the etagrad-microLC-ESI-MS/MS system, with protein prefractionation by IPG isoelectric focusing, was also evaluated for rapid study of yeast and human proteomes.     

Differential screening and mass mapping of proteins from premalignant and cancer cell lines using nonporous reversed-phase HPLC coupled with mass spectrometric analysis

Nonporous (NPS) RP-HPLC has been used to rapidly separate proteins from whole cell lysates of human breast cell lines. The nonporous separation involves the use of hard-sphere silica beads of 1.5-microm diameter coated with C18, which can be used to separate proteins ranging from 5 to 90 kDa. Using only 30-40 microg of total protein, the protein molecular weights are detectable on-line using an ESI-oaTOF MS. Of hundreds of proteins detected in this mass range, approxinately 75-80 are more highly expressed. The molecular weight profiles can be displayed as a mass map analogous to a virtual "1-D gel" and differentially expressed proteins can be compared by image analysis. The separated proteins can also be detected by UV absorption and differentially expressed proteins quantified. The eluting proteins can be collected in the liquid phase and the molecular weight and peptide maps determined by MALDI-TOF MS for identification. It is demonstrated that the expressed protein profiles change during neoplastic progression and that many oncoproteins are readily detected. It is also shown that the response of premalignant cancer cells to estradiol can be rapidly screened by this method, demonstrating significant changes in response to an external agent. Ultimately, the proteins can be studied by peptide mapping to search for posttranslational modifications of the oncoproteins accompanying progression.     

PICquant: a quantitative platform to measure differential peptide abundance using dual-isotopic labeling with 12C6- and 13C6-phenyl isocyanate

We have developed a complete system for the isotopic labeling, fractionation, and automated quantification of differentially expressed peptides that significantly facilitates candidate biomarker discovery. We describe a new stable mass tagging reagent pair, (12)C(6)- and (13)C(6)-phenyl isocyanate (PIC), that offers significant advantages over currently available tags. Peptides are labeled predominantly at their amino termini and exhibit elution profiles that are independent of label isotope. Importantly, PIC-labeled peptides have unique neutral-mass losses upon CID fragmentation that enable charge state and label isotope identification and, thereby, decouple the sequence identification from the quantification of candidate biomarkers. To exploit these properties, we have coupled peptide fractionation protocols with a Thermo LTQ-XL LC-MS(2) data acquisition strategy and a suite of automated spectrum analysis software that identifies quantitative differences between labeled samples. This approach, dubbed the PICquant platform, is independent of protein sequence identification and excludes unlabeled peptides that otherwise confound biomarker discovery. Application of the PICquant platform to a set of complex clinical samples showed that the system allows rapid identification of peptides that are differentially expressed between control and patient groups.     

Mass spectrometric methods for generation of protein mass database used for bacterial identification

The availability of a suitable database is critical in a proteomic approach for bacterial identification by mass spectrometry (MS). The major limitation of the present public proteome database is the lack of extensive low-mass bacterial protein entries with masses experimentally verified for most bacteria. Here, we present a method based on mass spectrometry to create protein mass tables specifically tailored for bacterial identification. Several issues related to the detection of bacterial proteins for the purpose of database creation are addressed. Three species of bacteria, namely, Escherichia coli, Bacillus megaterium, and Citrobacter freundii, which can be found in the ambient environment, were chosen for this study. Direct matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) MS analysis of each bacterial extract reveals 20-29 protein components in the mass range from 2000 to 20,000 Da. HPLC fractionation of bacterial extracts followed by off-line MALDI-TOF analysis of individual fractions detects 156-423 components. Analysis of the extracts by HPLC/electrospray ionization MS shows the number of detectable proteins in the range of 46-59. Although a number of components were common to the three detection schemes employed, some unique components were found using each of these techniques. In addition, for E. coli where a large proteome database exists in the public domain, a number of masses detected by the mass spectrometric methods do not match with the proteome database. Compared to the public proteome database, the mass tables generated in this work are demonstrated to be more useful for bacterial identification in an application where the bacteria of interest have limited protein entries in the public database. The implication of this work for future development of a comprehensive mass database is discussed.     

Functionalized magnetic nanoparticles for small-molecule isolation, identification, and quantification

Functionalized magnetic nanoparticles (MNPs) were synthesized to serve as laser desorption/ionization elements as well as solid-phase extraction probes for simultaneous enrichment and detection of small molecules in matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) analysis. Two laser-absorbing matrices were each conjugated onto MNP to give MNP@matrix which provided high ionization efficiency and background-free detection in MS leading to unambiguous identification of target small molecules in a complex mixture. MNP@matrix was demonstrated to serve as a general matrix-free additive in MALDI-TOF MS analysis of structurally distinct small molecules. Also, MNP@matrix provides a simple, rapid, and reliable quantitative assay for small molecules by mass without either the use of an internal standard or an isotopic labeling tag. Furthermore, the affinity extraction of small molecules from complex biofluid was achieved by probe protein-conjugated MNP@matrix without laborious purification. We demonstrated that a nanoprobe-based assay is a cost-effective, rapid, and accurate platform for robotic screening of small molecules.     

High-efficiency on-line solid-phase extraction coupling to 15-150-microm-i.d. column liquid chromatography for proteomic analysis

The ability to manipulate and effectively utilize small proteomic samples is important for analyses using liquid chromatography (LC) in combination with mass spectrometry (MS) and becomes more challenging for very low flow rates due to extra column volume effects on separation quality. Here we report on the use of commercial switching valves (150-microm channels) for implementing the on-line coupling of capillary LC columns operated at 10,000 psi with relatively large solid-phase extraction (SPE) columns. With the use of optimized column connections, switching modes, and SPE column dimensions, high-efficiency on-line SPE-capillary and nanoscale LC separations were obtained demonstrating peak capacities of approximately 1000 for capillaries having inner diameters between 15 and 150 microm. The on-line coupled SPE columns increased the sample processing capacity by approximately 400-fold for sample solution volume and approximately 10-fold for sample mass. The proteomic applications of this on-line SPE-capillary LC system were evaluated for analysis of both soluble and membrane protein tryptic digests. Using an ion trap tandem MS it was typically feasible to identify 1100-1500 unique peptides in a 5-h analysis. Peptides extracted from the SPE column and then eluted from the LC column covered a hydrophilicity/hydrophobicity range that included an estimated approximately 98% of all tryptic peptides. The SPE-capillary LC implementation also facilitates automation and enables use of both disposable SPE columns and electrospray emitters, providing a robust basis for automated proteomic analyses.     

Role of accurate mass measurement (+/- 10 ppm) in protein identification strategies employing MS or MS/MS and database searching.

We describe the impact of advances in mass measurement accuracy, +/- 10 ppm (internally calibrated), on protein identification experiments. This capability was brought about by delayed extraction techniques used in conjunction with matrix-assisted laser desorption ionization (MALDI) on a reflectron time-of-flight (TOF) mass spectrometer. This work explores the advantage of using accurate mass measurement (and thus constraint on the possible elemental composition of components in a protein digest) in strategies for searching protein, gene, and EST databases that employ (a) mass values alone, (b) fragment-ion tagging derived from MS/MS spectra, and (c) de novo interpretation of MS/MS spectra. Significant improvement in the discriminating power of database searches has been found using only molecular weight values (i.e., measured mass) of > 10 peptide masses. When MALDI-TOF instruments are able to achieve the +/- 0.5-5 ppm mass accuracy necessary to distinguish peptide elemental compositions, it is possible to match homologous proteins having > 70% sequence identity to the protein being analyzed. The combination of a +/- 10 ppm measured parent mass of a single tryptic peptide and the near-complete amino acid (AA) composition information from immonium ions generated by MS/MS is capable of tagging a peptide in a database because only a few sequence permutations > 11 AA's in length for an AA composition can ever be found in a proteome. De novo interpretation of peptide MS/MS spectra may be accomplished by altering our MS-Tag program to replace an entire database with calculation of only the sequence permutations possible from the accurate parent mass and immonium ion limited AA compositions. A hybrid strategy is employed using de novo MS/MS interpretation followed by text-based sequence similarity searching of a database.     

T3-sequencing: targeted characterization of the N- and C-termini of undigested proteins by mass spectrometry

A novel extension of the "top-down" approach is introduced for the selective characterization of protein termini that does not involve proteolytic digestion steps. N- and C-terminal peptides were generated from intact proteins in the mass spectrometer and further analyzed by MS/MS-an approach referred to as T(3)-sequencing. N-terminal and C-terminal fragment ion series were obtained by the pseudo-MS/MS technique in-source decay (ISD) on a matrix-assisted laser desorption/ionization time-of-flight mass spectrometer (MALDI-TOF MS). These ions provided near-terminal sequence tags from the undigested protein in the ISD spectrum acquired in reflector mode and allowed to screen for the proper processing state of the terminus with respect to a reference sequence. In the second step of T(3)-sequencing, the precursor ions, which have been generated by ISD and which included the N- or C-terminal sequence, were selected in the timed ion gate of a MALDI-TOF/TOF mass spectrometer for MS/MS analysis. These spectra allowed identification of the protein, the proper definition of both termini, and allowed confirmation of suspected terminal modifications. T(3)-Sequencing appears to be an alternative to classical Edman sequencing, which is fast and even permits the analysis of N-terminally blocked proteins and their C-terminus.