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.     

Ultrahigh-throughput proteomics using fast RPLC separations with ESI-MS/MS

We describe approaches for proteomics analysis using electrospray ionization-tandem mass spectrometry coupled with fast reversed-phase liquid chromatography (RPLC) separations. The RPLC separations used 50-microm-i.d. fused-silica capillaries packed with submicrometer-sized C18-bonded porous silica particles and achieved peak capacities of 130-420 for analytes from proteome tryptic digests. When these separations were combined with linear ion trap tandem mass spectrometry measurements, approximately 1000 proteins could be identified in 50 min from approximately 4000 identified tryptic peptides; approximately 550 proteins in 20 min from approximately 1800 peptides; and approximately 250 proteins in 8 min from approximately 700 peptides for a S. oneidensis tryptic digest. The dynamic range for protein identification with the fast separations was determined to be approximately 3-4 orders of magnitude of relative protein abundance on the basis of known proteins in human blood plasma analyses. We found that 55% of the MS/MS spectra acquired during the entire analysis (and up to 100% of the MS/MS spectra acquired from the most data-rich zone) provided sufficient quality for identifying peptides. The results confirm that such analyses using very fast (minutes) RPLC separations based on columns packed with microsized porous particles are primarily limited by the MS/MS analysis speed.     

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.     

Making broad proteome protein measurements in 1-5 min using high-speed RPLC separations and high-accuracy mass measurements

The throughput of proteomics measurements that provide broad protein coverage is limited by the quality and speed of both the separations as well as the subsequent mass spectrometric analysis; at present, analysis times can range anywhere from hours (high throughput) to days or longer (low throughput). We have explored the basis for proteomics analyses conducted on the order of minutes using high-speed capillary RPLC combined through on-line electrospray ionization interface with high-accuracy mass spectrometry (MS) measurements. Short 0.8-microm porous C18 particle-packed 50-microm-i.d. capillaries were used to speed the RPLC separations while still providing high-quality separations. Both time-of-flight (TOF) and Fourier transform ion cyclotron resonance (FTICR) MS were applied for identifying peptides using the accurate mass and time (AMT) tag approach. Peptide RPLC relative retention (elution) times that were generated by solvent gradients that differed by at least 25-fold were found to provide relative elution times that agreed to within 5%, which provides the basis for using peptide AMT tags for higher throughput proteomics measurements. For fast MS acquisition speeds (e.g., 0.2 s for TOF and either approximately 0.3 or approximately 0.6 s for FTICR), peptide mass measurement accuracies of better than +/-15 ppm were obtained with the high-speed RPLC separations. The ability to identify peptides and the overall proteome coverage was determined by factors that include the separation peak capacity, the sensitivity of the MS (with fast scanning), and the accuracy of both the mass measurements and the relative RPLC peptide elution times. The experimental RPLC relative elution time accuracies of 5% (using high-speed capillary RPLC) and mass measurement accuracies of better than +/-15 ppm allowed for the confident identification of >2800 peptides and >760 proteins from >13,000 different putative peptides detected from a Shewanellaoneidensis tryptic digest. Initial results for both RPLC-ESI-TOF and RPLC-ESI-FTICR MS were similar, with approximately 2000 different peptides from approximately 600 different proteins identified within 2-3 min. For <120-s proteomic analysis, TOF MS analyses were more effective, while FTICR MS was more effective for the >150-s analysis due to the improved mass accuracies attained using longer spectrum acquisition times.     

Nano-LC FTICR tandem mass spectrometry for top-down proteomics: routine baseline unit mass resolution of whole cell lysate proteins up to 72 kDa

Current high-throughput top-down proteomic platforms provide routine identification of proteins less than 25 kDa with 4-D separations. This short communication reports the application of technological developments over the past few years that improve protein identification and characterization for masses greater than 25 kDa. Advances in separation science have allowed increased numbers of proteins to be identified, especially by nanoliquid chromatography (nLC) prior to mass spectrometry (MS) analysis. Further, a goal of high-throughput top-down proteomics is to extend the mass range for routine nLC MS analysis up to 80 kDa because gene sequence analysis predicts that ~70% of the human proteome is transcribed to be less than 80 kDa. Normally, large proteins greater than 50 kDa are identified and characterized by top-down proteomics through fraction collection and direct infusion at relatively low throughput. Further, other MS-based techniques provide top-down protein characterization, however at low resolution for intact mass measurement. Here, we present analysis of standard (up to 78 kDa) and whole cell lysate proteins by Fourier transform ion cyclotron resonance mass spectrometry (nLC electrospray ionization (ESI) FTICR MS). The separation platform reduced the complexity of the protein matrix so that, at 14.5 T, proteins from whole cell lysate up to 72 kDa are baseline mass resolved on a nano-LC chromatographic time scale. Further, the results document routine identification of proteins at improved throughput based on accurate mass measurement (less than 10 ppm mass error) of precursor and fragment ions for proteins up to 50 kDa.     

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.     

Systematic identification of mitochondrial proteins by LC-MS/MS

In eukaryotic cells, the mitochondrion is the key organelle for cellular respiration. Mitochondrial proteome analysis is difficult to perform by the classical proteomic approach involving two-dimensional gel electrophoresis (2DE), because this organelle contains a large number of membrane-associated and highly alkaline proteins usually requiring specific treatments to be successfully analyzed. Here, an alternative approach was evaluated and led to the rapid and sensitive identification of approximately 35% of the yeast mitochondrial proteins. It consists of an SDS-PAGE gel electrophoresis of the total mitochondrial protein in combination with the LC-MS/MS analysis of the digestion products of gel slices. The use of only 40 microg of mitochondrial protein enabled the identification of 179 different gene products divided into similar proportions of membrane and soluble proteins. The distribution of the identified proteins in terms of pI and hydrophobicity revealed that the present analytical strategy is largely unbiased. The identification of 28 proteins of previously unknown subcellular localization demonstrated the ability of SDS-PAGE-LC-MS/MS to rapidly supplement the knowledge of the mitochondrial proteome.     

Acid-labile isotope-coded extractants: a class of reagents for quantitative mass spectrometric analysis of complex protein mixtures

Quantitative mass spectrometry using stable isotope-labeled tagging reagents such as isotope-coded affinity tags has emerged as a powerful tool for identification and relative quantitation of proteins in current proteomic studies. Here we describe an integrated approach using both automated two-dimensional liquid chromatography/ mass spectrometry (2D-LC/MS) and a novel class of chemically modified resins, termed acid-labile isotope-coded extractants (ALICE), for quantitative mass spectrometric analysis of protein mixtures. ALICE contains a thiol-reactive group that is used to capture all cysteine (Cys)-containing peptides from peptide mixtures, an acid-labile linker, and a nonbiological polymer. The acid-labile linker is synthesized in both heavy and light isotope-coded forms and therefore enables the direct relative quantitation of peptides/proteins through mass spectrometric analysis. To test the ALICE method for quantitative protein analysis, two model protein mixtures were fully reduced, alkylated, and digested in solution separately and then Cys-containing peptides covalently captured by either light or heavy ALICE. The reacted light and heavy ALICE were mixed and washed extensively under rigorous conditions and the Cys-containing peptides retrieved by mild acid-catalyzed elution. Finally, the eluted peptides were directly subjected to automated 2D-LC/MS for protein identification and LC/MS for accurate relative quantitation. Our initial study showed that quantitation of protein mixtures using ALICE was accurate. In addition, isolation of Cys-containing peptides by the ALICE method was robust and specific and thus yielded very low background in mass spectrometric studies. Overall, the use of ALICE provides improved dynamic range and sensitivity for quantitative mass spectrometric analysis of peptide or protein mixtures.     

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.     

Robust analysis of the yeast proteome under 50 kDa by molecular-mass-based fractionation and top-down mass spectrometry

As the process of top-down mass spectrometry continues to mature, we benchmark the next installment of an improving methodology that incorporates a tube-gel electrophoresis (TGE) device to separate intact proteins by molecular mass. Top-down proteomics is accomplished in a robust fashion to yield the identification of hundreds of unique proteins, many of which correspond to multiple protein forms. The TGE platform separates 0-50 kDa proteins extracted from the yeast proteome into 12 fractions prior to automated nanocapillary LC-MS/MS in technical triplicate. The process may be completed in less than 72 h. From this study, 530 unique proteins and 1103 distinct protein species were identified and characterized, thus representing the highest coverage to date of the Saccharomyces cerevisiae proteome using top-down proteomics. The work signifies a significant step in the maturation of proteomics based on direct measurement and fragmentation of intact proteins.     

Top-down proteomics for rapid identification of intact microorganisms

We apply MALDI-TOF/TOF mass spectrometry for the rapid and high-confidence identification of intact Bacillus spore species. In this method, fragment ion spectra of whole (undigested) protein biomarkers are obtained without the need for biomarker prefractionation, digestion, separation, and cleanup. Laser-induced dissociation (unimolecular decay) of higher mass (>5 kDa) precursor ions in the first TOF analyzer is followed by reacceleration and subsequent high-resolution mass analysis of the resulting sequence-specific fragments in a reflectron TOF analyzer. In-house-developed software compares an experimental MS/MS spectrum with in silico-generated tandem mass spectra from all protein sequences, contained in a proteome database, with masses within a preset range around the precursor ion mass. A p-value, the probability that the observed matches between experimental and in silico-generated fragments occur by chance, is computed and used to rank the database proteins to identify the most plausible precursor protein. By inference, the source microorganism is then identified on the basis of the identification of individual, unique protein biomarker(s). As an example, intact Bacillus atrophaeus and Bacillus cereus spores, either pure or in mixtures, were unambiguously identified by this method after fragmenting and identifying individual small, acid-soluble spore proteins that are specific for each species. Factors such as experimental mass accuracy and number of detected fragment ions, precursor ion charge state, and sequence-specific fragmentation have been evaluated with the objective of extending the approach to other microorganisms. MALDI-TOF/TOF-MS in a lab setting is an efficient tool for in situ confirmation/verification of initial microorganism identification.     

Top-down approaches for measuring expression ratios of intact yeast proteins using Fourier transform mass spectrometry

The extension of quantitation methods for small peptides to ions above 5 kDa, and eventually to global quantitative proteomics of intact proteins, will require extensive refinement of current analytical approaches. Here we evaluate postgrowth Cys-labeling and 14N/15N metabolic labeling strategies for determination of relative protein expression levels and their posttranslational modifications using top-down mass spectrometry (MS). We show that intact proteins that are differentially alkylated with acrylamide (+71 Da) versus iodoacetamide (+57 Da) have substantial chromatographic shifts during reversed-phase liquid chromatography separation (particularly in peak tails), indicating a requirement for stable isotopes in alkylation tags for top-down MS. In the 14N/15N metabolic labeling strategy, we achieve 98% 15N incorporation in yeast grown 10 generations under aerobic conditions and determine 50 expression ratios using Fourier transform ion cyclotron resonance MS in comparing these cells to anaerobically grown control (14N) cells. We devise quantitative methods for top-down analyses, including a correction factor for accurate protein ratio determination based upon the signal-to-noise ratio. Using a database of 200 yeast protein forms identified previously by top-down MS, we verify the intact mass tag concept for protein identification without tandem MS. Overall, we find that top-down MS promises work flows capable of large-scale proteome profiling using stable isotope labeling and the determination of >5 protein ratios per spectrum.     

High sequence coverage of proteins isolated from liquid separations of breast cancer cells using capillary electrophoresis-time-of-flight MS and MALDI-TOF MS mapping

A method has been developed for high sequence coverage analysis of proteins isolated from breast cancer cell lines. Intact proteins are isolated using multidimensional liquid-phase separations that permit the collection of individual protein fractions. Protein digests are then analyzed by both matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) peptide mass fingerprinting and by capillary electrophoresis-electrospray ionization (CE-ESI)-TOF MS peptide mapping. These methods can be readily interfaced to the relatively clean proteins resulting from liquid-phase fractionation of cell lysates with little sample preparation. Using combined sequence information provided by both mapping methods, 100% sequence coverage is often obtained for smaller proteins, while for larger proteins up to 75 kDa, over 90% coverage can be obtained. Furthermore, an accurate intact protein MW value (within 150 ppm) can be obtained from ESI-TOF MS. The intact MW together with high coverage sequence information provides accurate identification. More notably the high sequence coverage of CE-ESI-TOF MS together with the MS/MS information provided by the ion trap/reTOF MS elucidates posttranslational modifications, sequence changes, truncations, and isoforms that may otherwise go undetected when standard MALDI-MS peptide fingerprinting is used. This capability is critical in the analysis of human cancer cells where large numbers of expressed proteins are modified, and these modifications may play an important role in the cancer process.     

Development of non-gel-based two-dimensional separation of intact proteins by an on-line hyphenation of capillary isoelectric focusing and hollow fiber flow field-flow fractionation

A rapid, non-gel-based, on-line, two-dimensional separation method is introduced for proteome analysis. Protein fractionation was carried out by first exploiting the differences in their respective isoelectric points (pI) in a Teflon capillary using isoelectric focusing (IEF), followed by a molecular weight (MW)-based separation in a hollow fiber by flow field-flow fractionation (FlFFF). The method developed here (CIEF-HFFlFFF) may be a powerful alternative to two-dimensional polyacrylamide gel electrophoresis, which is currently used for the separation and purification of proteins. In CIEF-HFFlFFF, proteins can be collected as a fraction of a certain pI and MW interval without being denatured. Additionally, the ampholyte solution is simultaneously removed during separation in the hollow fiber, and the overall process time is significantly reduced. This method was applied to a human urinary proteome sample, leading to the identification of 114 proteins with the subsequent off-line use of nanoflow liquid chromatography-tandem mass spectrometry after the tryptic digestion of each collected protein fraction.     

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.     

Integrated and ultrasensitive gel protein identification

An integrated gel protein identification technology is developed and demonstrated for the effective ( approximately 90% recovery), rapid (less than 5 min), and sensitive identification (as low as 1 ng gel protein loading) of gel-resolved proteins using matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS). This integrated technology involves on-line combination of electronic protein transfer with nanoscale proteolytic digestion in a capillary platform, enabling electrokinetic-based protein extraction and stacking, real-time proteolytic cleavage of extracted proteins, and direct deposition of protein digests onto MALDI targets. By revisiting the yeast two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) in similar isoelectric point and molecular mass ranges as studied by Gygi and co-workers (Gygi, S. P.; Corthals, G. L.; Zhang, Y.; Rochon, Y.; Aebersold, R. Proc. Natl. Acad. Sci. U.S.A. 2000, 97, 9390-9395), we are additionally able to identify a large number of low abundance proteins with codon adaptation index (CAI) values of <0.2 and increase the proteome coverage to nearly 50%. The CAI value distribution for identified yeast proteins now more closely approximates that predicted for the entire yeast proteome. We further note that the current single-capillary methodology can be easily expanded to a multiplexed capillary platform as a ultrahigh throughput and greatly effective tool for linking 2-D PAGE with MS, particularly for the analysis of low-abundance proteins.     

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.     

Virtual 2-D gel electrophoresis: visualization and analysis of the E. coli proteome by mass spectrometry

Mass spectrometric surface analysis of isoelectric focusing gels provides an ultrasensitive approach to proteome analysis. This "virtual 2-D gel" approach, in which mass spectrometry is substituted for the size-based separation of SDS-PAGE, provides advantages in mass resolution and accuracy over classical 2-D gels and can be readily automated. Protein identities can be postulated from molecular mass (+/-0.1-0.2% for proteins of <50 kDa in size) and pI (+/-0.3 pH unit) and confirmed by MALDI in-source decay of the intact protein (providing sequence spanning up to 43 residues) or by peptide mass mapping following gel-wide chemical cleavage. Additionally, posttranslational modifications such as fatty acid acylation can be detected by the mass-resolved heterogeneity of component hydrocarbon chains. Sensitivity was evaluated by comparing the number of proteins detected by this method to equivalently loaded silver-stained 2-D gels. In the 5.7-6.0 pH range, E. coli is predicted to contain 435 proteins; virtual 2-D gels found 250 proteins ranging from >2 to <120 kDa in size present at levels to tens of femtomoles, as compared to the 100 proteins found by silver-staining 2-D gels. Extrapolating this result to the total theoretical proteome suggests that this technology is capable of detecting over 2500 E. coli proteins.     

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.     

Gel-eluted liquid fraction entrapment electrophoresis: an electrophoretic method for broad molecular weight range proteome separation

Although well-established as a technique for protein purification, the application of continuous elution tube gel electrophoresis to proteome fractionation remains problematic. Difficulties associated with sample collection, particularly at the high mass range or at low sample loadings, continue to plague the technique. Furthermore, an upper mass limit is imposed as slow-moving higher molecular weight proteins are progressively diluted during the collection phase. In short, with current technology, effective separation over a broad mass range has not been achieved. In this work, we present improved techniques for continuous elution tube gel electrophoresis to accommodate broad mass range separation of proteins. Our device enables rapid partitioning of a proteome into discrete mass range fractions in the solution phase. High recovery is achieved at submicrogram to milligram sample loadings. We demonstrate comprehensive, reproducible separations of protein mixtures, as well as separation of a proteome in as fast as 1 h, over mass ranges from below 10 to 250 kDa. Finally, we identified proteins from a prefractionated standard protein mixture using liquid chromatography tandem mass spectrometric (LC-MS/MS) analysis.