Identifying proteins from two-dimensional gels by molecular mass searching of peptide fragments in protein sequence databases

Review of a current role of mass spectrometry for proteome research

This review is intended to give readers a snapshot of current mass spectrometry for proteomics research. It covers a brief history of mass spectrometry proteomic research, peptidomics and proteomics for biomarker search, quantitative proteomics, proteomics with post-translational modification and future perspective of proteomics.

Protein identification using a quadrupole ion trap mass spectrometer and SEQUEST database matching

A procedure is described for rapid, sensitive protein identification utilizing liquid chromatography--tandem mass spectrometry. The analysis is performed on mixtures of peptides obtained by enzyme digestion. The SEQUEST computer program is used to match the sequence information in the spectra to a database of known protein sequences.

Tubedown associates with cortactin and controls permeability of retinal endothelial cells to albumin

Tubedown (Narg1, Tbdn), a member of the Nat1 family of proteins, associates with the acetyltransferase Ard1 and exerts an angiostatic function in adult retinal-blood-vessel homeostasis. The purpose of the present study was to gain a better understanding of the nature of the Tbdn protein complex and how it might exert a homeostatic influence on blood vessels. Immunoprecipitation of Tbdn from endothelial cells followed by gel electrophoresis and liquid-chromatography–tandem-mass-spectrometry identified the actin-cytoskeleton-binding protein cortactin as a co-immunopurifying species. Western blotting confirmed the association between Tbdn and cortactin. Immunofluorescence confocal microscopy revealed that Tbdn colocalizes with cortactin and F-actin in cytoplasmic regions and at the cortex of cultured endothelial cells. Because cortactin is known to regulate cellular permeability through its interaction with the actin cytoskeleton, a process that is crucial for endothelial cell homeostasis, the role of Tbdn on endothelial cell permeability was examined. Knockdown of Tbdn expression in endothelial cells led to the co-suppression of Ard1 protein expression and to a significant increase in cellular permeability measured by the transit of FITC-albumin across the cellular monolayer. Furthermore, the proliferative retinal neovascularization and thickening resulting from induction of Tbdn knockdown in endothelium in transgenic mice was associated with a significant increase in extravasation or leakage of albumin from abnormal retinal blood vessels in vivo. These results provide evidence that an association occurs between Tbdn and cortactin, and that Tbdn is involved in the regulation of retinal-endothelial-cell permeability to albumin. This work implicates a functional role for Tbdn in blood-vessel permeability dynamics that are crucial for vascular homeostasis.

A method for N-terminal de novo sequence analysis of proteins by matrix-assisted laser desorption/ionization mass spectrometry

A novel method for isolation and de novo sequencing of N-terminal peptides from proteins is described. The method presented here combines selective chemical tagging using succinimidyloxycarbonylmethyl tris(2,4,6-trimethoxyphenyl)phosphonium bromide (TMPP-Ac-OSu) at the N(alpha)-amino group of peptides after digestion by metalloendopeptidase (from Grifola frondosa) and selective capture procedures using p-phenylenediisothiocyanate resin, by which the N-terminal peptide can be isolated, whether or not it is N-terminally blocked. The isolated N-terminal peptide modified N-terminally with TMPP-Ac-OSu reagent produces a simple fragmentation pattern under tandem mass spectrometric analysis to significantly facilitate sequencing.

Assessment of protoxin composition of Bacillus thuringiensis strains by use of polyacrylamide gel block and mass spectrometry

Assessment of protoxin composition in Bacillus thuringiensis parasporal crystals is principally hampered by the fact that protoxins in a single strain usually possess high sequence homology. Therefore, new strategies towards the identification of protoxins have been developed. Here, we established a powerful method through embedding solubilized protoxins in a polyacrylamide gel block coupled to liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis of in-gel-generated peptides for protoxin identification. Our model study revealed that four protoxins (Cry1Aa, Cry1Ab, Cry1Ac and Cry2Aa) and six protoxins (Cry4Aa, Cry4Ba, Cry10Aa, Cry11Aa, Cyt1Aa, and Cyt2Ba) could be rapidly identified from B. thuringiensis subsp. kurstaki HD1 and subsp. israelensis 4Q2-72, respectively. The experimental results indicated that our method is a straightforward tool for analyzing protoxin expression profile in B. thuringiensis strains. Given its technical simplicity and sensitivity, our method might facilitate the present screening program for B. thuringiensis strains with new insecticidal properties.

N-terminal sequence analysis of proteins and peptides

Amino-terminal (N-terminal) sequence analysis is used to identify the order of amino acids of proteins or peptides, starting at their N-terminal end. This unit describes the sequence analysis of protein or peptide samples in solution or bound to PVDF membranes using a Perkin-Elmer Procise Sequencer. Sequence analysis of protein or peptide samples in solution or bound to PVDF membranes using a Hewlett-Packard Model G1005A sequencer is also described. Methods are provided for optimizing separation of PTH amino acid derivatives on Perkin-Elmer instruments and for increasing the proportion of sample injected onto the PTH analyzer on older Perkin-Elmer instruments by installing a modified sample loop. The amount of data obtained from a single sequencer run is substantial, and careful interpretation of this data by an experienced scientist familiar with the current operation performance of the instrument used for this analysis is critically important. A discussion of data interpretation is therefore provided. Finally, discussion of optimization of sequencer performance as well as possible solutions to frequently encountered problems is included.

Proteomic profiling and neurodegeneration in West-Nile-virus-infected neurons

West Nile virus, a mosquito-borne flavivirus, is a human, equine, and avian pathogen. High-resolution two-dimensional differential-gel electrophoresis (2D-DIGE) was used to characterize protein expression in primary rat neurons and to examine the proteomic profiling to understand the pathogenesis of West-Nile-associated meningoencephalitis. Three pH ranges, 3–10, 4–7, and 5–6, were used to analyze the protein spots. The proteins are labeled with fluorescent dyes Cy3 and Cy5 before being separated on the basis of charge and size respectively on a two-dimensional platform. About 55 proteins showed altered expression levels. These were then subsequently digested and identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) analysis using peptide mass fingerprinting and database searching. These cellular proteins could represent distinct roles during infection related to apoptosis. Our findings show that two-dimensional differential gel electrophoresis combined with mass spectrometry is a powerful approach that permits the identification of proteins whose expression was altered due to West Nile virus infection.

Application of proteomics technology for analyzing the interactions between host cells and intracellular infectious agents

Host–pathogen interactions involve protein expression changes within both the host and the pathogen. An understanding of the nature of these interactions provides insight into metabolic processes and critical regulatory events of the host cell as well as into the mechanisms of pathogenesis by infectious microorganisms. Pathogen exposure induces changes in host proteins at many functional levels including cell signaling pathways, protein degradation, cytokines and growth factor production, phagocytosis, apoptosis, and cytoskeletal rearrangement. Since proteins are responsible for the cell biological functions, pathogens have evolved to manipulate the host cell proteome to achieve optimal replication. Intracellular pathogens can also change their proteome to adapt to the host cell and escape from immune surveillance, or can incorporate cellular proteins to invade other cells. Given that the interactions of intracellular infectious agents with host cells are mainly at the protein level, proteomics is the most suitable tool for investigating these interactions. Proteomics is the systematic analysis of proteins, particularly their interactions, modifications, localization and functions, that permits the study of the association between pathogens with their host cells as well as complex interactions such as the host–vector–pathogen interplay. A review on the most relevant proteomic applications used in the study of host–pathogen interactions is presented.

Improving protein identification sensitivity by combining MS and MS/MS information for shotgun proteomics using LTQ-Orbitrap high mass accuracy data

We investigated and compared three approaches for shotgun protein identification by combining MS and MS/MS information using LTQ-Orbitrap high mass accuracy data. In the first approach, we employed a unique mass identifier method where MS peaks matched to peptides predicted from proteins identified from an MS/MS database search are first subtracted before using the MS peaks as unique mass identifiers for protein identification. In the second method, we used an accurate mass and time tag method by building a potential mass and retention time database from previous MudPIT analyses. For the third method, we used a peptide mass fingerprinting-like approach in combination with a randomized database for protein identification. We show that we can improve protein identification sensitivity for low-abundance proteins by combining MS and MS/MS information. Furthermore, "one-hit wonders" from MS/MS database searching can be further substantiated by MS information and the approach improves the identification of low-abundance proteins. The advantages and disadvantages for the three approaches are then discussed.

Activation of brain protein phosphatase-1(I) following cardiac arrest and resuscitation involving an interaction with 14-3-3 gamma

The intracellular signaling mechanisms that couple transient cerebral ischemia to cell death and neuroprotective mechanisms provide potential therapeutic targets for cardiac arrest. Protein phosphatase (PP)-1 is a major serine/threonine phosphatase that interacts with and dephosphorylates critical regulators of energy metabolism, ionic balance, and apoptosis. We report here that PP-1(I), a major regulated form of PP-1, is activated in brain by approximately twofold in vivo following cardiac arrest and resuscitation in a clinically relevant pig model of transient global cerebral ischemia and reperfusion. PP-1(I) purified to near homogeneity from either control or ischemic pig brain consisted of the PP-1 catalytic subunit, the inhibitor-2 regulatory subunit, as well as the novel constituents 14-3-3gamma, Rab GDP dissociation protein beta, PFTAIRE kinase, and C-TAK1 kinase. PP-1(I) purified from ischemic brain contained significantly less 14-3-3gamma than PP-1(I) purified from control brain, and purified 14-3-3gamma directly inhibited the catalytic subunit of PP-1 and reconstituted PP-1(I). These findings suggest that activation of brain PP-1(I) following global cerebral ischemia in vivo involves dissociation of 14-3-3gamma, a novel inhibitory modulator of PP-1(I). This identifies modulation of PP-1(I) by 14-3-3 in global cerebral ischemia as a potential signaling mechanism-based approach to neuroprotection.

Informatics development: challenges and solutions for MALDI mass spectrometry

Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) has been successfully applied to elucidating biological questions trough the analysis of proteins, peptides, and nucleic acids. Here, we review the different approaches for analyzing the data that is generated by MALDI-MS. The first step in the analysis is the processing of the raw data to find peaks that correspond to the analytes. The peaks are characterized by their areas (or heights) and their centroids. The peak area can be used as a measure of the quantity of the analyte, and the centroid can be used to determine the mass of the analyte. The masses are then compared to models of the analyte, and these models are ranked according to how well they fit the data and their significance is calculated. This allows the determination of the identity (sequence and modifications) of the analytes. We show how this general data analysis workflow is applied to protein and nucleic acid chemistry as well as proteomics.

Protease-dependent fractional mass and peptide properties

Mass spectrometric analyses of peptides mainly rely on cleavage of proteins with proteases that have a defined specificity. The specificities of the proteases imply that there is not a random distribution of amino acids in the peptides. The physico-chemical effects of this distribution have been partly analyzed for tryptic peptides, but to a lesser degree for other proteases. Using all human proteins in Swiss-Prot, the relationships between peptide fractional mass, pI and hydrophobicity were investigated. The distribution of the fractional masses and the average regression lines for the fractional masses were similar, but not identical, for the peptides generated by the proteases trypsin, chymotrypsin and gluC, with the steepest regression line for gluC. The fractional mass regression lines for individual proteins showed up to +/-100 ppm in mass difference from the average regression line and the peptides generated showed protease-dependent properties. We here show that the fractional mass and some other properties of the peptides are dependent on the protease used for generating the peptides. With the increasing accuracy of mass spectrometry instruments it is possible to exploit the information embedded in the fractional mass of unknown peaks in peptide mass fingerprint spectra.

Identification and characterization of microbial proteins using peptide mass fingerprinting strategies

Peptide mass fingerprinting is a simple, quick, cheap, and relatively effective method of identifying proteins from mass spectrometry data. Proteins extracted from the complex mixture comprising the proteome of a sample are individually digested with a proteolytic enzyme into a series of peptide fragments. The set of masses of these peptides, determined by mass spectrometry, form a peptide mass fingerprint of the protein. Comparison of this experimental fingerprint with the theoretical fingerprints of all known protein sequences for this organism, derived computationally from a protein sequence database, allows the identification of the particular protein. In this chapter, I discuss the technique including preparation for the peptide mass fingerprinting analysis, the appropriate selection of computational search parameters, and the analysis and interpretation of search results in the context of identifying proteins from microbial samples.

Direct analysis of retinal dehydrogenase activity on an electroblotting membrane following separation by non-denaturing two-dimensional electrophoresis

The reaction from retinal to retinoic acid catalyzed by retinal dehydrogenase on a polyvinylidene difluoride (PVDF) membrane was examined using laser desorption ionization time of flight mass spectrometry (LDI-TOF MS) when the enzyme was separated by non-denaturing two-dimensional electrophoresis (2-DE), transferred onto the membrane, and stained without impairing the enzyme activity. Furthermore, the enzyme was analyzed by de novo sequencing using electrospray ionization tandem mass spectrometry (ESI-MS/MS) after proteins from mouse liver were separated by non-denaturing 2-DE, blotted onto the membrane, and stained. The results indicated that the reported methods could be applied for the direct examination of changes in retinoid catalyzed by enzymes on such membranes.

[Toxicogenomics as a tool for evaluation of chemical effects]

Concern about the toxicity of chemicals released into the environment has been increasing recently. Many chemicals are suspected to have hazardous effects, but evaluation of their toxicity is still difficult and challenging. One of these difficulties is the presence of chemicals that are reported to have an adverse effect on organisms despite negative results in conventional toxicity tests. Thus, a new technique has been desired in order to evaluate the effects of chemicals, Recent advances in molecular biology have provided a technique for better understanding the responses of organisms to chemicals; this emerging field is known as toxicogenomics. Toxicogenomics is defined as an integration of genomics (transcriptomics, proteomics, metabolomics) and toxicology. For example, the DNA microarray can be used to explore the gene expression profiles (transcriptomics) of organisms in response to chemicals. Exposure to chemicals results in characteristic gene expression profiles, suggesting that the DNA microarray can be used to evaluate chemical effects. Toxicogenomics is also expected to be useful in gaining a mechanistic understanding of these effects. Although it still has some limitations, this technique can be developed to assess chemicals.

Comparative in vitro and ex vivo activities of selected inhibitors of transthyretin aggregation: relevance in drug design

Destabilization of the tetrameric fold of TTR (transthyretin) is important for aggregation of the protein which culminates in amyloid fibril formation. Many TTR mutations interfere with tetramer stability, increasing the amyloidogenic potential of the protein. The vast majority of proposed TTR fibrillogenesis inhibitors are based on in vitro assays with isolated protein, limiting their future use in clinical assays. In the present study we investigated TTR fibrillogenesis inhibitors using a cellular system that produces TTR intermediates/aggregates in the medium. Plasmids carrying wild-type TTR, V30M or L55P cDNA were transfected into a rat Schwannoma cell line and TTR aggregates were investigated in the medium using a dot-blot filter assay followed by immunodetection. Results showed that, in 24 h, TTR L55P forms aggregates in the medium, whereas, up to 72 h, wild-type TTR and V30M do not. A series of 12 different compounds, described in the literature as in vitro TTR fibrillogenesis inhibitors, were tested for their ability to inhibit L55P aggregate formation; in this system, 2-[(3,5-dichlorophenyl) amino] benzoic acid, benzoxazole, 4-(3,5-difluorophenyl) benzoic acid and tri-iodophenol were the most effective inhibitors, as compared with the reference iododiflunisal, previously shown by ex vivo and in vitro procedures to stabilize TTR and inhibit fibrillogenesis. Among these drugs, 2-[(3,5-dichlorophenyl) amino] benzoic acid and tri-iodophenol stabilized TTR from heterozygotic carriers of V30M in the same ex vivo conditions as those used previously for iododiflunisal. The novel cellular-based test herein proposed for TTR fibrillogenesis inhibitor screens avoids not only lengthy and cumbersome large-scale protein isolation steps but also artefacts associated with most current in vitro first-line screening methods, such as those associated with acidic conditions and the absence of serum proteins.

Applications of diagonal chromatography for proteome-wide characterization of protein modifications and activity-based analyses

Numerous gel-free proteomics techniques have been reported over the past few years, introducing a move from proteins to peptides as bits of information in qualitative and quantitative proteome studies. Many shotgun proteomics techniques randomly sample thousands of peptides in a qualitative and quantitative manner but overlook the vast majority of protein modifications that are often crucial for proper protein structure and function. Peptide-based proteomic approaches have thus been developed to profile a diverse set of modifications including, but not at all limited, to phosphorylation, glycosylation and ubiquitination. Typical here is that each modification needs a specific, tailor-made analytical procedure. In this minireview, we discuss how one technique - diagonal reverse-phase chromatography - is applied to study two different types of protein modification: protein processing and protein N-glycosylation. Additionally, we discuss an activity-based proteome study in which purine-binding proteins were profiled by diagonal chromatography.

The DeoR-type transcriptional regulator SugR acts as a repressor for genes encoding the phosphoenolpyruvate:sugar phosphotransferase system (PTS) in Corynebacterium glutamicum

BACKGROUND

The major uptake system responsible for the transport of fructose, glucose, and sucrose in Corynebacterium glutamicum ATCC 13032 is the phosphoenolpyruvate:sugar phosphotransferase system (PTS). The genes encoding PTS components, namely ptsI, ptsH, and ptsF belong to the fructose-PTS gene cluster, whereas ptsG and ptsS are located in two separate regions of the C. glutamicum genome. Due to the localization within and adjacent to the fructose-PTS gene cluster, two genes coding for DeoR-type transcriptional regulators, cg2118 and sugR, are putative candidates involved in the transcriptional regulation of the fructose-PTS cluster genes.

RESULTS

Four transcripts of the extended fructose-PTS gene cluster that comprise the genes sugR-cg2116, ptsI, cg2118-fruK-ptsF, and ptsH, respectively, were characterized. In addition, it was shown that transcription of the fructose-PTS gene cluster is enhanced during growth on glucose or fructose when compared to acetate. Subsequently, the two genes sugR and cg2118 encoding for DeoR-type regulators were mutated and PTS gene transcription was found to be strongly enhanced in the presence of acetate only in the sugR deletion mutant. The SugR regulon was further characterized by microarray hybridizations using the sugR mutant and its parental strain, revealing that also the PTS genes ptsG and ptsS belong to this regulon. Binding of purified SugR repressor protein to a 21 bp sequence identified the SugR binding site as an AC-rich motif. The two experimentally identified SugR binding sites in the fructose-PTS gene cluster are located within or downstream of the mapped promoters, typical for transcriptional repressors. Effector studies using electrophoretic mobility shift assays (EMSA) revealed the fructose PTS-specific metabolite fructose-1-phosphate (F-1-P) as a highly efficient, negative effector of the SugR repressor, acting in the micromolar range. Beside F-1-P, other sugar-phosphates like fructose-1,6-bisphosphate (F-1,6-P) and glucose-6-phosphate (G-6-P) also negatively affect SugR-binding, but in millimolar concentrations.

CONCLUSION

In C. glutamicum ATCC 13032 the DeoR-type regulator SugR acts as a pleiotropic transcriptional repressor of all described PTS genes. Thus, in contrast to most DeoR-type repressors described, SugR is able to act also on the transcription of the distantly located genes ptsG and ptsS of C. glutamicum. Transcriptional repression of the fructose-PTS gene cluster is observed during growth on acetate and transcription is derepressed in the presence of the PTS sugars glucose and fructose. This derepression of the fructose-PTS gene cluster is mainly modulated by the negative effector F-1-P, but reduced sensitivity to the other effectors, F-1,6-P or G-6-P might cause differential transcriptional regulation of genes of the general part of the PTS (ptsI, ptsH) and associated genes encoding sugar-specific functions (ptsF, ptsG, ptsS).

Microdissecting the proteome

The complexity of the proteome is extremely high, because every organ or even a part of it can differ considerably in its protein composition. Performing proteomic studies therefore means to separate these functional different tissue areas before analysis. Otherwise all gained results will be depending on the question whether they are incorrect or at least dubious and do they reflect the different functions of tissues at all. The separation of functional tissue areas can be achieved by laser-based microdissection. In this review we will discuss the compatibly of microdissected formalin or cryofixed tissue with different proteomic techniques like 2-DE, MS and protein arrays.

2DBase: 2D-PAGE database of Escherichia coli

We present a web-based integrated proteome database, termed 2DBase of Escherichia coli which was designed to store, compare, analyse, and retrieve various information obtained by 2D polyacrylamide gel electrophoresis and mass spectrometry. The main objectives of this database are (1) to provide the features for query and data-mining applications to access the stored proteomics data (2) to efficiently compare the specific protein spots present in the comparable proteome maps and (3) to analyse the data with the integrated classification for cellular functions of gene products of E. coli. This database currently contains 12 gels consisting of 1185 protein spots information in which 723 proteins were identified and annotated. Individual protein spots in the existing gels can be displayed, queried, analyzed, and compared in a tabular format based on various functional categories enabling quick and subsequent analyses. Our database satisfies the requirement to be a federated 2-DE database by accomplishing various tasks through a web interface providing access to a relational database system. The 2DBase of E. coli database can be accessed at http://2dbase.techfak.uni-bielefeld.de/.

Two-dimensional fluorescence difference gel electrophoresis for comparative proteomics profiling

Quantitative proteomics is the workhorse of the modern proteomics initiative. The gel-based and MuDPIT approaches have facilitated vital advances in the measurement of protein expression alterations in normal and disease phenotypic states. The methodological advance in two-dimensional gel electrophoresis (2DGE) has been the multiplexing fluorescent two-dimensional fluorescence difference gel electrophoresis (2D-DIGE). 2D-DIGE is based on direct labeling of lysine groups on proteins with cyanine CyDye DIGE Fluor minimal dyes before isoelectric focusing, enabling the labeling of 2-3 samples with different dyes and electrophoresis of all the samples on the same 2D gel. This capability minimizes spot pattern variability and the number of gels in an experiment while providing simple, accurate and reproducible spot matching. This protocol can be completed in 3-5 weeks depending on the sample size of the experiment and the level of expertise of the investigator.

The Streptococcus pyogenes serotype M49 Nra-Ralp3 transcriptional regulatory network and its control of virulence factor expression from the novel eno ralp3 epf sagA pathogenicity region

Many Streptococcus pyogenes (group A streptococcus [GAS]) virulence factor- and transcriptional regulator-encoding genes cluster together in discrete genomic regions. Nra is a central regulator of the FCT region. Previous studies exclusively described Nra as a transcriptional repressor of adhesin and toxin genes. Here transcriptome and proteome analysis of a serotype M49 GAS strain and an isogenic Nra mutant of this strain revealed the complete Nra regulon profile. Nra is active in all growth phases tested, with the largest regulon in the transition phase. Almost exclusively, virulence factor-encoding genes are repressed by Nra; these genes include the GAS pilus operon, the capsule synthesis operon, the cytolysin-mediated translocation system genes, all Mga region core virulence genes, and genes encoding other regulators, like the Ihk/Irr system, Rgg, and two additional RofA-like protein family regulators. Surprisingly, our experiments revealed that Nra additionally acts as a positive regulator, mostly for genes encoding proteins and enzymes with metabolic functions. Epidemiological investigations revealed strong genetic linkage of one particular Nra-repressed regulator, Ralp3 (SPy0735), with a gene encoding Epf (extracellular protein factor from Streptococcus suis). In a serotype-specific fashion, this ralp3 epf gene block is integrated, most likely via transposition, into the eno sagA virulence gene block, which is present in all GAS serotypes. In GAS serotypes M1, M4, M12, M28, and M49 this novel discrete genetic region is therefore designated the eno ralp3 epf sagA (ERES) pathogenicity region. Functional experiments showed that Epf is a novel GAS plasminogen-binding protein and revealed that Ralp3 activity counteracts Nra and MsmR regulatory activity. In addition to the Mga and FCT regions, the ERES region is the third discrete chromosomal pathogenicity region. All of these regions are transcriptionally linked, adding another level of complexity to the known GAS growth phase-dependent regulatory network.

Development of an open-tubular trypsin reactor for on-line digestion of proteins

A study was initiated to construct a micro-reactor for protein digestion based on trypsin-coated fused-silica capillaries. Initially, surface plasmon resonance was used both for optimization of the surface chemistry applied in the preparation and for monitoring the amount of enzyme that was immobilized. The highest amount of trypsin was immobilized on dextran-coated SPR surfaces which allowed the covalent coupling of 11 ng mm⁻² trypsin. Fused-silica capillaries were modified in a similar manner and the resulting open-tubular trypsin-reactors having a pH optimum of pH 8.5, display a high activity when operated at 37 °C and are stable for at least two weeks when used continuously. Trypsin auto-digestion fragments, sample carry-over, and loss of signal due to adsorption of the protein were not observed. On-line digestion without prior protein denaturation, followed by micro-LC separation and photodiode array detection, was tested with horse-heart cytochrome C and horse skeletal-muscle myoglobin. The complete digestion of 20 pmol μL⁻¹ horse cytochrome C was observed when the average residence time of the protein sample in a 140 cm ×50 μm capillary immobilized enzyme reactor (IMER) was 165 s. Mass spectrometric identification of the injected protein on the basis of the tryptic peptides proved possible. Protein digestion was favorable with respect to reaction time and fragments formed when compared with other on-line and off-line procedures. These results and the easy preparation of this micro-reactor provide possibilities for miniaturized enzyme-reactors for on-line peptide mapping and inhibitor screening.

Comparative proteomic analysis of human adenomyosis using two-dimensional gel electrophoresis and mass spectrometry

OBJECTIVE

To identify the differently expressed proteins in adenomyotic tissue compared with normal uterine muscle.

DESIGN

Retrospective, case-controlled study.

SETTING

University-based Department of Obstetrics and Gynecology and Proteomic Research Center.

PATIENT(S)

Ten patients who underwent transabdominal hysterectomy were included in this study. Five of them were histologically diagnosed with adenomyosis and the other five age-matched patients had cervical carcinoma in situ.

INTERVENTION(S)

Postoperative adenomyotic tissue and normal uterine muscle samples were collected.

MAIN OUTCOME MEASURE(S)

The protein extracts from paired sample tissue were separated using two-dimensional gel electrophoresis. The differently expressed protein spots were detected by gel comparison using image analysis software and identified using matrix-assisted laser desorption/ionization time of flight mass spectrometry.

RESULT(S)

Compared with protein profiling of normal uterine muscle, there were 12 protein spots dysregulated in adenomyotic tissue. Among them, 10 protein spots were successfully identified by mass spectrometry.

CONCLUSION(S)

Comparative proteomic analysis is a useful approach for the discovery of protein biomarkers for adenomyosis and understanding the pathophysiology of the disease.

Mass measurements of increased accuracy resolve heterogeneous populations of intact ribosomes

It is established that noncovalent complexes can be maintained both during and after electrospray and that assemblies of increasing size and complexity often lead to broadened peaks in mass spectra. This broadening arises from the tendency of large protein assemblies to form adducts with salts and is compounded when complexes are isolated directly from cells, without the full protein complement. To investigate the origins of this broadening in mass spectral peaks and to develop the optimal method for analyzing mass spectra of large protein complexes, we have carried out a systematic investigation of a series of noncovalent complexes representing a range of different sizes and architectures. We establish a positive correlation between peak width and the increased mass observed and show that this correlation is independent of the instrumental parameters employed. Using this relationship we show that we can determine masses of both 30S subunits and intact 2.3 MDa 70S ribosomes from Thermus thermophilus. The masses of both particles are consistent with multiple populations of ribosomes. To identify these various populations we combine simulated mass spectra of ribosomes, with and without the full protein complement, and estimate the extent of adducts from our study of known complexes. The results allow us to determine the contribution of the different subpopulations to the overall mass spectrum. We confirm the existence of these subpopulations using tandem mass spectrometry of intact 30S subunits. Overall, the results show that, rather than uniform particles, gas-phase ribosomes consist of a number of discrete populations. More generally, the results establish a rigorous procedure for accurate mass measurement and spectral analysis of heterogeneous macromolecular assemblies.

Methods, algorithms and tools in computational proteomics: A practical point of view

Computational MS-based proteomics is an emerging field arising from the demand of high throughput analysis in numerous large-scale experimental proteomics projects. The review provides a broad overview of a number of computational tools available for data analysis of MS-based proteomics data and gives appropriate literature references to detailed description of algorithms. The review provides, to some extent, discussion of algorithms and methods for peptide and protein identification using MS data, quantitative proteomics, and data storage. The hope is that it will stimulate discussion and further development in computational proteomics. Computational proteomics deserves more scientific attention. There are far fewer computational tools and methods available for proteomics compared to the number of microarray tools, despite the fact that data analysis in proteomics is much more complex than microarray analysis.

Feasibility of two-dimensional gel electrophoresis used for proteomic analysis of human scleral fibroblasts

PURPOSE

This study used two-dimensional gel electrophoresis (2-DE) to analyze protein profiles for normal human scleral fibroblasts in order to provide a baseline for future study of proteomics of the sclera in experimental conditions. In addition, differences in the presence and amount of proteins from fibroblasts isolated from the anterior or posterior sclera were analyzed.

METHODS

The fibroblasts from anterior and posterior sclera of two healthy donors were cultured separately. Proteins were extracted from the cell lines, run on 2-DE, and stained by Commassie blue R-250. The gel images were analyzed to detect differences in expression levels (at least a fivefold difference in intensity) and location of the protein spots between the anterior and posterior sclera. These protein spots were trimmed from the gels, digested with trypsin, identified by MALDI mass spectrometry, and functionally categorized with human cDNA and protein databases from NCBI.

RESULTS

The number of spots detected was 455 and 453 protein spots from the anterior and posterior scleral fibroblasts, respectively. The patterns of gel maps were very similar between the anterior and posterior sclera in each donor and between the donors in either the anterior or posterior sclera. Nine proteins showed a stronger expression in the anterior sclera compared with the posterior sclera. These proteins together with the two proteins that appeared only in the anterior sclera were mainly associated with anabolic metabolism in cells. Eight proteins showed a stronger expression in the posterior sclera, and seven of them were mainly associated with catabolic metabolism in cells. Among all 19 protein spots identified as being differentially expressed between fibroblasts originally isolated from the anterior or posterior sclera, 14 proteins had a pI (3.86-7.95) and molecular weight (23-66 kDa) consistent with those found in human from the database of NCBI and from SwissProt Entry Name.

CONCLUSIONS

The distribution and levels of expression in proteins are very similar for both the anterior and posterior sclera in vitro, with only approximately 4% of the proteins demonstrating a differential level of expression (at least fivefold) between the two segments of the sclera.

Sample preparation by in-gel digestion for mass spectrometry-based proteomics

The proteomic characterization of proteins and protein complexes from cells and cell organelles is the next challenge for investigation of the cell. After isolation of the cell compartment, three steps have to be performed in the laboratory to yield information about the proteins present. The protein mixtures must be separated into single species, broken down into peptides, and, finally, identified by mass spectrometry. Most scientists engaged in proteomics separate proteins by electrophoresis. For characterization and identification of proteomes, mass spectrometry of peptides is the method of choice. To combine electrophoresis and mass spectrometry, sample preparation by "in-gel digestion" has been developed. Many procedures are available for in-gel digestion, which inspired us to review in-gel digestion approaches.

Proteomic profiling reveals that rabies virus infection results in differential expression of host proteins involved in ion homeostasis and synaptic physiology in the central nervous system

To understand how rabies virus (RV) infection results in neuronal dysfunction, the authors employed proteomics technology to profile host responses to RV infection. In mice infected with wild-type (wt) RV, the expression of proteins involved in ion homeostasis was altered. H(+) ATPase and Na(+)/K(+) ATPase were up-regulated whereas Ca(2+) ATPase was down-regulated, which resulted in reduction of the intracellular Na(+) and Ca(2+) concentrations. Furthermore, infection with wt RV resulted in down-regulation of soluble NSF attachment receptor proteins (SNAREs) such as alpha-synaptosome-associated protein (SNAP), tripartite motif-containing 9 (TRIM9), syntaxin, and pallidin, all of which are involved in docking and fusion of synaptic vesicles to and with presynaptic membrane. As a consequence, accumulation of synaptic vesicles was observed in the presynapses of mice infected with wt RV. These data demonstrate that infection with wt RV results in alteration of host protein expression, particularly those involved in ion homeostasis and docking and fusion of synaptic vesicles to presynaptic membrane, which may lead to neuronal dysfunction. On the other hand, attenuated RV up-regulated the expression of proteins involved in the induction of apoptosis, explaining why apoptosis is observed only in cells or animals infected with attenuated RV in previous studies.

Control of immune responses by antigen-specific regulatory T cells expressing the folate receptor

Immune responses can be enhanced or dampened by differential manipulation of Foxp3-expressing CD25(+)CD4(+) natural regulatory T (Treg) cells versus other naive or activated T cells. By searching for a molecule capable of distinguishing these populations, we here found that natural Treg cells constitutively expressed high amounts of folate receptor 4 (FR4). The expression of FR4 and CD25 also separated antigen-stimulated CD4(+) non-Treg cells into the FR4(hi)CD25(-) and FR4(lo)CD25(+) populations, which were different in proliferation and cytokine secretion upon restimulation. These distinctions showed that antigenic stimulation activated and expanded antigen-specific natural Treg cells as well as effector and memory T cells. Accordingly, FR4(hi)CD25(+)CD4(+) T cells enriched from alloantigen-stimulated T cells suppressed graft rejection. Administration of FR4 monoclonal antibody specifically reduced Treg cells, provoking effective tumor immunity in tumor-bearing animals, whereas similar treatment of normal young mice elicited autoimmune disease. Thus, specific manipulation of FR4(hi)CD25(+)CD4(+) Treg cells helps control ongoing immune responses.

Familial amyloid polyneuropathy associated with TTRSer50Arg mutation in two Iberian families presenting a novel single base change in the mutant gene

We present two families, from Spain and Portugal, with familial amyloid polyneuropathy (FAP) associated with the mutation TTRSer50Arg. This mutation was first described in two Japanese patients from independent families and later in a French-Italian patient and a Vietnamese family. The two families presented here, are the first to be diagnosed with this mutation in the Iberian Peninsula. In the patients of both families, FAP was very aggressive as they rapidly developed multiple symptoms with progressive deterioration; we emphasize the presence of severe orthostatic hypotension in the Spanish proband which confined him to a wheelchair. This proband was the first patient with this mutation to have undergone liver transplantation and results were encouraging. The mutation was detected in four patients and one disease-free relative by DNA sequencing of exon 3 and induced mutation restriction analysis. The most outstanding feature was the single base transversion A to C in codon 50 (CGT instead of AGT), whereas in both Japanese patients and the French-Italian patient it was T to G (AGG instead of AGT). To our knowledge only six FAP mutations with more than one single nucleotide mutation for the same codon have been reported to date.

New findings for in-gel digestion accelerated by high-intensity focused ultrasound for protein identification by matrix-assisted laser desorption ionization time-of-flight mass spectrometry

New findings in sample treatment based on high-intensity focused ultrasound (HIFU) for protein digestion after polyacrylamide gel electrophoresis separation are presented. The following variables were studied: (i) sample volume; (ii) sonotrode diameter; (iii) previous protein denaturation; (iv) cooling; (v) enzyme concentration; and (vi) protein concentration. Results showed that positive protein identification could be done after protein separation by gel electrophoresis through peptide mass fingerprint (PMF) in a volume as low as 25 microL. The time needed was less than 2 min and no cooling was necessary. The importance of the sonotrode diameter was negligible. On the other hand, protein denaturation before sonication was a trade-off for the success of procedure here described. The protein coverage was raised from 5 to 30%, and the number of peptides matching the proteins was also increased in a percentage ranging 10-100% when the classical overnight treatment is compared with the proposed HIFU procedure. The minimum amount of protein that can be identified using the HIFU sample treatment by matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) was 0.06 microg. The lower concentration of trypsin successfully used to obtain an adequate protein digestion was 3.6 microg/mL.

Spectral networks: a new approach to de novo discovery of protein sequences and posttranslational modifications

Significant technological advances have accelerated high-throughput proteomics to the automated generation of millions of tandem mass spectra on a daily basis. In such a setup, the desire for greater sequence coverage combines with standard experimental procedures to commonly yield multiple tandem mass spectra from overlapping peptides—typical observations include peptides differing by one or two terminal amino acids and spectra from modified and unmodified variants of the same peptides. In a departure from the traditional spectrum identification algorithms that analyze each tandem mass spectrum in isolation, spectral networks define a new computational approach that instead finds and simultaneously interprets sets of spectra from overlapping peptides. In shotgun protein sequencing, spectral networks capitalize on the redundant sequence information in the aligned spectra to deliver the longest and most accurate de novo sequences ever reported for ion trap data. Also, by combining spectra from multiple modified and unmodified variants of the same peptides, spectral networks are able to bypass the dominant guess/confirm approach to the identification of posttranslational modifications and alternatively discover modifications and highly modified peptides directly from experimental data. Open-source implementations of these algorithms may be downloaded from peptide.ucsd.edu .

Trends in sample preparation for classical and second generation proteomics

Sample preparation is a fundamental step in the proteomics workflow. However, it is not easy to find compiled information updating this subject. In this paper, the strategies and protocols for protein extraction and identification, following either classical or second generation proteomics methodologies, are reviewed. Procedures for: tissue disruption, cell lysis, sample pre-fractionation, protein separation by 2-DE, protein digestion, mass spectrometry analysis, multidimensional peptide separations and quantification of protein expression level are described.

Enhanced a1 fragmentation for dimethylated proteins and its applications for N-terminal identification and comparative protein quantitation

In this work, dimethyl labeling at the protein level was developed to assist the fragmentation of intact proteins using the Q-TOF instrument. It was shown that a1 ions were favorably enhanced upon collision-induced dissociation for dimethylated proteins with molecular mass below 20 kDa and without N-terminal modifications. This method is helpful in confirming proteolytic sites located at the N-terminus of proteins. Moreover, this labeling could be incorporated with stable isotopes for comparative profiling at the protein level, in which the heavily labeled and lightly labeled a1 ions were generated from the corresponding proteins upon high-voltage collisions in a broad mass region that covered all of the charge states of the proteins. Using hemoglobin as an example, a linear dynamic range from 1:1 to 1:20 was satisfactorily obtained with an R2 value greater than 0.99. This approach appears to be promising for top-down proteomics.

Concise review: trends in stem cell proteomics

Gene expression analyses of stem cells (SCs) will help to uncover or further define signaling pathways and molecular mechanisms involved in the maintenance of self-renewal, pluripotency, and/or multipotency. In recent years, proteomic approaches have produced a wealth of data identifying proteins and mechanisms involved in SC proliferation and differentiation. Although many proteomics techniques have been developed and improved in peptide and protein separation, as well as mass spectrometry, several important issues, including sample heterogeneity, post-translational modifications, protein-protein interaction, and high-throughput quantification of hydrophobic and low-abundance proteins, still remain to be addressed and require further technical optimization. This review summarizes the methodologies used and the information gathered with proteome analyses of SCs, and it discusses biological and technical challenges for proteomic study of SCs. Disclosure of potential conflicts of interest is found at the end of this article.

IMS-IMS and IMS-IMS-IMS/MS for separating peptide and protein fragment ions

Multidimensional ion mobility spectrometry (IMS-IMS and IMS-IMS-IMS) techniques have been combined with mass spectrometry (MS) and investigated as a means of generating and separating peptide and protein fragment ions. When fragments are generated inside a drift tube and then dispersed by IMS prior to MS analysis, it is possible to observe many features that are not apparent from MS analysis alone. The approach is demonstrated by examining fragmentation patterns arising from electrospray ion distributions of insulin chain B and ubiquitin. The multidimensional IMS approach makes it possible to select individual components for collisional activation and to disperse fragments based on differences in mobility prior to MS analysis. Such an approach makes it possible to observe many features not apparent by MS analysis alone.

Hydrolytic activity of lipase on anion-exchange solid phase column after separation and electrotransfer by non-denaturing electrophoresis

This study reports the initial separation of phospholipase C-alpha from porcine retina using non-denaturing two-dimensional gel electrophoresis (2-DE). Detection was by negative staining and then its hydrolytic activity was estimated using alpha-naphthyl acetate in a 2-DE gel. A spot of phospholipase C-alpha separated by 2-DE was excised. It was then electrophoretically transferred to an anion-exchange solid phase column after 40 mg, equal to dry weight of the solid resin from the cartridge (Accell Plus QMA, Waters Corporation), was packed into a disposable 1 ml syringe to make an anion-exchange solid phase column. Phosphatidylcholine was hydrolyzed in the anion-exchange solid phase column containing phospholipase C-alpha. The results indicated that a column with hydrolytic activity could be produced once lipases separated by non-denaturing 2-DE were transferred to the solid phase column.

Identification of clock genes using difference gel electrophoresis

Proteomics is the study of the complete set of proteins encoded by the genome. The study of the proteome involves the investigation of changes in protein abundance, localization, involvement in multiprotein complexes, and detection of different protein isoforms and posttranslational modifications under defined conditions, such as the circadian cycle. This type of approach complements comparative gene expression studies providing additional information with respect to posttranscriptional processing. One of the key techniques used to study the proteome is two-dimensional gel electrophoresis. This technique has the ability to separate complex protein mixtures with high resolution. A significant improvement in this technology has been development of difference gel electrophoresis. Here, proteins are first labeled with one of three spectrally resolvable fluorescent cyanine dyes before being separated in two dimensions according to their charge and size, respectively. Multiplexing can accurately and reproducibly quantify protein expression across multiple gels. A multiple-gel approach allows the detection of differentially expressed protein spots using statistical methods to compare expression across different experimental groups. The proteins can be subsequently identified by mass spectrometric methods. This approach now allows more complex experimental designs, such as the time course experiments essential to the study of circadian rhythms.

Utility of CE-MS data in protein identification

A new method for displaying CE-MALDI-MS data for proteolytic digests is described. This data display mode yields distinct charge-based trends for plots of mass-to-charge (m/z) versus CE migration time. These trends arise owing to the in-solution charge state of the peptides, and this interpretation was confirmed by using empirical peptide electromigration models and peptide standards as charge-state markers. These charge-state specific trends exhibit analytical utility by providing additional chemical information about the peptides, which increases the confidence level of peptide identification and provides a rapid means for screening for posttranslationally modified peptides.

Sphingosine kinase 1 expression is regulated by signaling through PI3K, AKT2, and mTOR in human coronary artery smooth muscle cells

Sphingosine kinase 1 (SphK1) is a lipid kinase implicated in mitogenic signaling pathways in vascular smooth muscle cells. We demonstrate that human coronary artery smooth muscle (HCASM) cells require SphK1 for growth and that SphK1 mRNA and protein levels are elevated in PDGF stimulated HCASM cells. To determine the mechanism of PDGF-induced SphK1 expression, we used pharmacological inhibitors of the PI3K/AKT/mTOR signaling pathway. Wortmannin, SH-5, and rapamycin significantly blocked PDGF-stimulated induction of SphK1 mRNA and protein expression, indicating a regulatory role of the PI3K/AKT/mTOR pathway in SphK1 expression. To determine which isoform of AKT regulates SphK1 mRNA and protein levels, siRNAs specific for AKT1, AKT2, and AKT3 were used. We show that AKT2 siRNA significantly blocked PDGF-stimulated increases in SphK1 mRNA and protein expression levels as well as SphK1 enzymatic activity levels. In contrast, AKT1 or AKT3 siRNA did not have an effect. Together, these results demonstrate that the PI3K/AKT/mTOR signaling pathway is involved in regulation of SphK1, with AKT2 playing a key role in PDGF-induced SphK1 expression in HCASM cells.