High resolution mass spectrometric alveolar proteomics: identification of surfactant protein SP-A and SP-D modifications in proteinosis and cystic fibrosis patients

In the present study, one- and two-dimensional gel electrophoresis combined with high resolution Fourier transform-ion cyclotron resonance mass spectrometry (FT-ICR MS) have been applied as powerful approaches for the proteome analysis of surfactant proteins SP-A and SP-D, including identification of structurally modified and truncation forms, in bronchoalveolar lavage fluid from patients with cystic fibrosis, chronic bronchitis and pulmonary alveolar proteinosis. Highly sensitive micropreparation techniques were developed for matrix-assisted laser desorption/ionization (MALDI) FT-ICR MS analysis which provided the identification of surfactant proteins at very low levels. Owing to the high resolution, FT-ICR MS was found to provide substantial advantages for the structural identification of surfactant proteins from complex biological matrices with high mass determination accuracy. Several protein bands corresponding to SP-A and SP-D were identified by MALDI-FT-ICR MS after electrophoretic separation by one- and two-dimensional gel electrophoresis, and provided the identification of structural modifications (hydroxy-proline) and degradation products. The high resolution mass spectrometric proteome analysis should facilitate the unequivocal identification of subunits, aggregations, modifications and degradation products of surfactant proteins and hence contribute to the understanding of the mechanistic basis of lung disease pathogenesis.     

Quantitative protein profiling using two-dimensional gel electrophoresis,isotope-coded affinity tag labeling,and mass spectrometry

Quantitative protein profiling is an essential part of proteomics and requires new technologies that accurately, reproducibly, and comprehensively identify and quantify the proteins contained in biological samples. We describe a new strategy for quantitative protein profiling that is based on the separation of proteins labeled with isotope-coded affinity tag reagents by two-dimensional gel electrophoresis and their identification and quantification by mass spectrometry. The method is based on the observation that proteins labeled with isotopically different isotope-coded affinity tag reagents precisely co-migrate during two-dimensional gel electrophoresis and that therefore two or more isotopically encoded samples can be separated concurrently in the same gel. By analyzing changes in the proteome of yeast (Saccharomyces cerevisiae) induced by a metabolic shift we show that this simple method accurately quantifies changes in protein abundance even in cases in which multiple proteins migrate to the same gel coordinates. The method is particularly useful for the quantitative analysis and structural characterization of differentially processed or post-translationally modified forms of a protein and is therefore expected to find wide application in proteomics research.     

Deep Imaging: How Much of the Proteome Does Current Top-Down Technology Already Resolve?

Effective proteome analyses are based on interplay between resolution and detection. It had been claimed that resolution was the main factor limiting the use of two-dimensional gel electrophoresis. Improved protein detection now indicates that this is unlikely to be the case. Using a highly refined protocol, the rat brain proteome was extracted, resolved, and detected. In order to overcome the stain saturation threshold, high abundance protein species were excised from the gel following standard imaging. Gels were then imaged again using longer exposure times, enabling detection of lower abundance, less intensely stained protein species. This resulted in a significant enhancement in the detection of resolved proteins, and a slightly modified digestion protocol enabled effective identification by standard mass spectrometric methods. The data indicate that the resolution required for comprehensive proteome analyses is already available, can assess multiple samples in parallel, and preserve critical information concerning post-translational modifications. Further optimization of staining and detection methods promises additional improvements to this economical, widely accessible and effective top-down approach to proteome analysis.     

Bottom-up and Shotgun Proteomics to Identify a Comprehensive Cochlear Proteome

Proteomics is a commonly used approach that can provide insights into complex biological systems. The cochlear sensory epithelium contains receptors that transduce the mechanical energy of sound into an electro-chemical energy processed by the peripheral and central nervous systems. Several proteomic techniques have been developed to study the cochlear inner ear, such as two-dimensional difference gel electrophoresis (2D-DIGE), antibody microarray, and mass spectrometry (MS). MS is the most comprehensive and versatile tool in proteomics and in conjunction with separation methods can provide an in-depth proteome of biological samples. Separation methods combined with MS has the ability to enrich protein samples, detect low molecular weight and hydrophobic proteins, and identify low abundant proteins by reducing the proteome dynamic range. Different digestion strategies can be applied to whole lysate or to fractionated protein lysate to enhance peptide and protein sequence coverage. Utilization of different separation techniques, including strong cation exchange (SCX), reversed-phase (RP), and gel-eluted liquid fraction entrapment electrophoresis (GELFrEE) can be applied to reduce sample complexity prior to MS analysis for protein identification.     

An immunoproteomic approach for identification of clinical biomarkers for monitoring disease: application to cystic fibrosis

Circulating antibodies can be used to probe protein arrays of body fluids, prepared by two-dimensional gel electrophoresis, for antigenic biomarker detection. However, detected proteins, particularly low abundance antigens, often remain unidentifiable due to proteome complexity and limiting sample amounts. Using a novel enrichment approach exploiting patient antibodies for isolation of antigenic biomarkers, we demonstrate how immunoproteomic strategies can accelerate biomarker discovery. Application of this approach as a means of identifying biomarkers was demonstrated for cystic fibrosis (CF) lung disease by isolation and identification of inflammatory-associated autoantigens, including myeloperoxidase and calgranulin B from sputum of subjects with CF. The approach was also exploited for isolation of proteins expressed by the Pseudomonas aeruginosa strain PA01. Capture of PA01 antigens using circulating antibodies from CF subjects implicated in vivo expression of Pseudomonas proteins. All CF subjects screened, but not controls, were immunoreactive against immunocaptured Pseudomonas proteins, representing stress (GroES and ferric iron-binding protein HitA), immunosuppressive (thioredoxin), and alginate synthetase pathway (nucleoside-diphosphate kinase) proteins, implicating their clinical relevance as biomarkers of infection.     

Improved proteome analysis of Saccharomyces cerevisiae mitochondria by free-flow electrophoresis

The analysis of complex cellular proteomes by means of two-dimensional gel electrophoresis (2-DE) is significantly limited by the power of resolution of this technique. Although subcellular fractionation can be a fundamental first step to increase resolution, it frequently leads to preparations contaminated with other cellular structures. Here, we chose mitochondria of Saccharomyces cerevisiae to demonstrate that an integrated zone-electrophoretic purification step (ZE), with a free-flow electrophoresis device (FFE), can assist in overcoming this problem, while significantly improving their degree of purity. Whereas mitochondrial preparations isolated by means of differential centrifugation include a considerable degree of non-mitochondrial proteins (16%), this contamination could be effectually removed by the inclusion of a ZE-FFE purification step (2%). This higher degree of purity led to the identification of many more proteins from ZE-FFE purified mitochondrial protein extracts (n = 129), compared to mitochondrial protein extracts isolated by differential centrifugation (n = 80). Moreover, a marked decrease of degraded proteins was found in the ZE-FFE purified mitochondrial protein extracts. It is noteworthy that even at a low 2-DE resolution level, a four-fold higher number (17 versus 4) of presumably low abundance proteins could be identified in the ZE-FFE purified mitochondrial protein extracts. Therefore these results represent a feasible approach for an in-depth proteome analysis of mitochondria and possibly other organelles.     

Proteins associated with disease and clinical course in pancreas cancer: a proteomic analysis of plasma in surgical patients

New biomarkers for pancreas cancer are needed to improve its detection and management. We surveyed the plasma of patients undergoing surgical resection to identify proteins which change in abundance after complete resection of tumor. Using longitudinally collected specimens from surgical patients, we control for normal inter-individual variation which can confound cross-sectional analysis. Recent refinements in two-dimensional gel electrophoresis allowed us to quantify changes in low abundance plasma proteins with precision. To circumvent the traditional limitations of image analysis in comparing two-dimensional gels, we used fluorometric two-dimensional difference gel electrophoresis to resolve the proteins from pre- and post-surgical plasma from each patient on one physical gel. Furthermore, we increased the ability of our assay to detect low-abundance proteins by depleting the plasma of 12 high-abundance proteins with a multi-affinity column. Informative protein spots from 20 plasma samples across 10 patients were submitted for identification with mass-spectrometry. We identified a group of proteins which change consistently in plasma following complete resection of pancreas tumor. Furthermore, we identified proteins which correlate with post-surgical rapid recurrence of disease. With further identification and validation, the candidate biomarkers which we identify in this study may prove to be useful in the diagnosis, management and prognostication of patients with pancreas cancer.     

Charge-dependent staining of proteins after electrophoretic separation in polyacrylamide gels

A staining procedure is described which allows for the identification of basic and acidic proteins after gel electrophoresis. This includes electrophoresis of sodium dodecylsulfate (SDS) membrane proteins not accessible to isoelectric focusing as a means of charge-dependent separation. Nonfixative charge-dependent staining can be used for detection of proteins after separation in gels, when further investigation of the intact protein is desired.     

Sample prefractionation with Sephadex isoelectric focusing prior to narrow pH range two-dimensional gels

Due to their heterogeneity and huge differences in abundance, the detection and identification of all proteins expressed in eukaryotic cells and tissues is a major challenge in proteome analysis. Currently the most promising approaches are sample prefractionation procedures prior to narrow pH range two-dimensional gel electrophoresis (IPG-Dalt) to reduce the complexity of the sample and to enrich for low abundance proteins. We recently developed a simple, cheap and rapid sample prefractionation procedure based on flat-bed isoelectric focusing (IEF) in granulated gels. Complex sample mixtures are prefractionated in Sephadex gels containing urea, zwitterionic detergents, dithiothreitol and carrier ampholytes. After IEF, up to ten gel fractions alongside the pH gradient are removed with a spatula and directly applied onto the surface of the corresponding narrow pH range immobilized pH gradient (IPG) strips as first dimension of two-dimensional (2-D) gel electrophoresis. The major advantages of this technology are the highly efficient electrophoretic transfer of the prefractionated proteins from the Sephadex IEF fraction into the IPG strip without any sample dilution, and the full compatibility with subsequent IPG-IEF, since the prefactionated samples are not eluted, concentrated or desalted, nor does the amount of the carrier ampholytes in the Sephadex fraction interfere with subsequent IPG-IEF. Prefractionation allows loading of higher protein amounts within the separation range applied to 2-D gels and facilitates the detection of less abundant proteins. Also, this system is highly flexibile, since it allows small scale and large scale runs, and separation of different samples at the same time. In the current study, this technology has been successfully applied for prefractionation of mouse liver proteins prior to narrow pH range IPG-Dalt.     

Identification and relative quantification of membrane proteins by surface biotinylation and two-dimensional peptide mapping

Membrane proteins play a central role in biological processes, but their separation and quantification using two-dimensional gel electrophoresis is often limited by their poor solubility and relatively low abundance. We now present a method for the simultaneous recovery, separation, identification, and relative quantification of membrane proteins, following their selective covalent modification with a cleavable biotin derivative. After cell lysis, biotinylated proteins are purified on streptavidin-coated resin and proteolytically digested. The resulting peptides are analyzed by high-pressure liquid chromatography and mass spectrometry, thus yielding a two-dimensional peptide map. Matrix assisted laser desorption/ionization-time of flight signal intensity of peptides, in the presence of internal standards, is used to quantify the relative abundance of membrane proteins from cells treated in different experimental conditions. As experimental examples, we present (i) an analysis of a BSA-spiked human embryonic kidney membrane protein extract, and (ii) an analysis of membrane proteins of human umbilical vein endothelial cells cultured in normoxic and hypoxic conditions. This last study allowed the recovery of the vascular endothelial-cadherin/actin/catenin complex, revealing an increased accumulation of beta-catenin at 2% O(2) concentration.     

A hybrid LC-Gel-MS method for proteomics research and its application to protease functional pathway mapping

Two-dimensional (2D) gel electrophoresis is the most common protein separation method in proteomics research. It can provide high resolution and high sensitivity. However, 2D gel methods have several limitations, such as labor-intensive procedures, poor reproducibility, and limited dynamic range of detection. In fact, many investigators have returned to couple the one-dimensional (1D) SDS-PAGE with mass spectrometry for protein identification. The limitation of this approach is the increased protein complexity in each one-dimensional gel band. To overcome this problem and provide reproducible quantitative information, we describe here a 2D method for protein mixture separation using a combination of high performance liquid chromatography (HPLC) and 1D SDS-PAGE. The study shows that the step-gradient fractionation method we have applied provides excellent reproducibility. In addition, high mass accuracy of LC-FTICR-MS can allow more confident protein identifications by high resolution and ultra-high mass measurement accuracy. This approach was applied to comparative proteomics since protein abundance level changes can be easily visualized with side-by-side vertical comparison in one gel. Furthermore, separation of multi-samples in the same gel significantly reduces run-to-run variation, as is shown with differential image gel electrophoresis (DIGE). Finally, this approach readily incorporates immunological methods to normalize relative abundances of multiple samples within a single gel. This paper presents the results of our developments and our initial application of this strategy for mapping protease function of beta amyloid cleaving enzyme (BACE) in biological systems.     

An efficient extraction method to enhance analysis of low abundant proteins from soybean seed

Large amounts of the major storage proteins, β-conglycinin and glycinin, in soybean (Glycine max) seeds hinder the isolation and characterization of less abundant seed proteins. We investigated whether isopropanol extraction could facilitate resolution of the low abundant proteins, different from the main storage protein fractions, in one-dimensional polyacrylamide gel electrophoresis (1D-PAGE) and two-dimensional polyacrylamide gel electrophoresis (2D-PAGE). 1D-PAGE of proteins extracted by different concentrations (10%, 20%, 30%, 40%, 50%, 60%, 70% and 80%) of isopropanol showed that greater than 30% isopropanol was suitable for preferential enrichment of low abundant proteins. Analysis of 2D-PAGE showed that proteins which were less abundant or absent by the conventional extraction procedure were clearly seen in the 40% isopropanol extracts. Increasing isopropanol concentration above 40% resulted in a decrease in the number of less abundant protein spots. We have identified a total of 107 protein spots using matrix-assisted laser desorption/ionization time of flight mass spectrophotometry (MALDI-TOF-MS) and liquid chromatography-mass spectrometry (LC-MS/MS). Our results suggest that extraction of soybean seed powder with 40% isopropanol enriches lower abundance proteins and is a suitable method for 2D-PAGE separation and identification. This methodology could potentially allow the extraction and characterization of low abundant proteins of other legume seeds containing highly abundant storage proteins.     

Applications of affinity chromatography in proteomics

Affinity chromatography is a powerful protein separation method that is based on the specific interaction between immobilized ligands and target proteins. Peptides can also be separated effectively by affinity chromatography through the use of peptide-specific ligands. Both two-dimensional electrophoresis (2-DE)- and non-2-DE-based proteomic approaches benefit from the application of affinity chromatography. Before protein separation by 2-DE, affinity separation is used primarily for preconcentration and pretreatment of samples. Those applications entail the removal of one protein or a class of proteins that might interfere with 2-DE resolution, the concentration of low-abundance proteins to enable them to be visualized in the gel, and the classification of total protein into two or more groups for further separation by gel electrophoresis. Non-2-DE-based approaches have extensively employed affinity chromatography to reduce the complexity of protein and peptide mixtures. Prior to mass spectrometry (MS), preconcentration and capture of specific proteins or peptides to enhance sensitivity can be accomplished by using affinity adsorption. Affinity purification of protein complexes followed by identification of proteins by MS serves as a powerful tool for generating a map of protein-protein interactions and cellular locations of complexes. Affinity chromatography of peptide mixtures, coupled with mass spectrometry, provides a tool for the study of protein posttranslational modification (PTM) sites and quantitative proteomics. Quantitation of proteomes is possible via the use of isotope-coded affinity tags and isolation of proteolytic peptides by affinity chromatography. An emerging area of proteomics technology development is miniaturization. Affinity chromatography is becoming more widely used for exploring PTM and protein-protein interactions, especially with a view toward developing new general tag systems and strategies of chemical derivatization on peptides for affinity selection. More applications of affinity-based purification can be expected, including increasing the resolution in 2-DE, improving the sensitivity of MS quantification, and incorporating purification as part of multidimensional liquid chromatography experiments.     

Current two-dimensional electrophoresis technology for proteomics

Two-dimensional gel electrophoresis (2-DE) with immobilized pH gradients (IPGs) combined with protein identification by mass spectrometry (MS) is currently the workhorse for proteomics. In spite of promising alternative or complementary technologies (e.g. multidimensional protein identification technology, stable isotope labelling, protein or antibody arrays) that have emerged recently, 2-DE is currently the only technique that can be routinely applied for parallel quantitative expression profiling of large sets of complex protein mixtures such as whole cell lysates. 2-DE enables the separaration of complex mixtures of proteins according to isoelectric point (pI), molecular mass (M_r), solubility, and relative abundance. Furthermore, it delivers a map of intact proteins, which reflects changes in protein expression level, isoforms or post-translational modifications. This is in contrast to liquid chromatography-tandem mass spectrometry based methods, which perform analysis on peptides, where M_r and pI information is lost, and where stable isotope labelling is required for quantitative analysis. Today's 2-DE technology with IPGs (Görg et al., Electrophoresis 2000, 21, 1037–1053), has overcome the former limitations of carrier ampholyte based 2-DE (O'Farrell, J. Biol. Chem. 1975, 250, 4007–4021) with respect to reproducibility, handling, resolution, and separation of very acidic and/or basic proteins. The development of IPGs between pH 2.5–12 has enabled the analysis of very alkaline proteins and the construction of the corresponding databases. Narrow-overlapping IPGs provide increased resolution (δpI = 0.001) and, in combination with prefractionation methods, the detection of low abundance proteins. Depending on the gel size and pH gradient used, 2-DE can resolve more than 5000 proteins simultaneously (˜2000 proteins routinely), and detect and quantify < 1 ng of protein per spot. In this article we describe the current 2-DE/MS workflow including the following topics: sample preparation, protein solubilization, and prefractionation; protein separation by 2-DE with IPGs; protein detection and quantitation; computer assisted analysis of 2-DE patterns; protein identification and characterization by MS; two-dimensional protein databases.     

Proteome analysis of low-abundance proteins using multidimensional chromatography and isotope-coded affinity tags

The effectiveness of proteome-wide protein identification and quantitative expression profiling is dependent on the ability of the analytical methodologies employed to routinely obtain information on low-abundance proteins, as these are frequently of great biological importance. Two-dimensional gel electrophoresis, the traditional method for proteome analysis, has proven to be biased toward highly expressed proteins. Recently, two-dimensional chromatography of the complex peptide mixtures generated by the digestion of unseparated protein samples has been introduced for the identification of their components, and isotope-coded affinity tags (ICAT) have been introduced to allow for accurate quantification of the components of protein mixtures by mass spectrometry. Here, we demonstrate that the combination of isotope coded affinity protein tags and multidimensional chromatography/mass spectrometry of tryptic peptide mixtures is capable of detecting and quantifying proteins of low abundance in complex samples.     

The effect of DTT in protein preparations for proteomic analysis: Removal of a highly abundant plant enzyme, ribulose bisphosphate carboxylase/oxygenase

Rubisco is a major photosynthetic plant enzyme in the chloroplasts, catalyzing a photosynthetic reaction through carboxylation and oxygenation in the leaves. Despite its biological importance, its high abundance causes difficulties in the proper separation of protein mixtures during 2-dimensional gel electrophoresis (2-DE). Here, we resolved those plant soluble proteins by efficiently removing Rubisco. This resulted in a high quality and resolution of 2-DE gels. Rubisco removal was achieved through aggregation in the presence of a high DTT concentration, which subsequently increased the visualization of less abundant proteins and reduced horizontal streaking. This simple method may provide a means for finding more biologically important protein targets via plant proteomics.     

Proteome, transcriptome and genome: top down or bottom up analysis?

Biological systems are comprised of protein components found at a wide variety of abundances from millions of molecules of a single species per cell to less than one copy per cell. Because of this wide range of concentrations, measurement or a full accounting of each system is presently unavailable. Conventional separation and analytical methods (two-dimensional gel electrophoresis and mass spectrometry) allow identification and quantitation of many of the most abundant gene products (top down methods); and the majority of gene products, which are found at low abundance, can be neither identified nor measured in complex mixtures at present. The gene products that are found at low levels can be characterized and their properties analyzed by preparing ordered gene libraries of limited complexity from mRNA. When such preparations are expressed in cell free systems and analyzed by two-dimensional gel electrophoresis, the features of the gene products are available for analysis. This 'bottom up' approach allows identification of gene product properties so that analytical procedures can be devised and applied to complex mixtures.     

Identification of phosphoproteins in Arabidopsis thaliana leaves using polyethylene glycol fractionation, immobilized metal-ion affinity chromatography, two-dimensional gel electrophoresis and mass spectrometry

Reversible protein phosphorylation is a key regulatory mechanism in cells. Identification and characterization of phosphoproteins requires specialized enrichment methods, due to the relatively low abundance of these proteins, and is further complicated in plants by the high abundance of Rubisco in green tissues. We present a novel method for plant phosphoproteome analysis that depletes Rubisco using polyethylene glycol fractionation and utilizes immobilized metal-ion affinity chromatography to enrich phosphoproteins. Subsequent protein separation by one- and two-dimensional gel electrophoresis is further improved by extracting the PEG-fractionated protein samples with SDS/phenol and methanol/chloroform to remove interfering compounds. Using this approach, we identified 132 phosphorylated proteins in a partial Arabidopsis leaf extract. These proteins are involved in a range of biological processes, including CO(2) fixation, protein assembly and folding, stress response, redox regulation, and cellular metabolism. Both large and small subunits of Rubisco were phosphorylated at multiple sites, and depletion of Rubisco enhanced detection of less abundant phosphoproteins, including those associated with state transitions between photosystems I and II. The discovery of a phosphorylated form of AtGRP7, a self-regulating RNA-binding protein that affects floral transition, as well as several previously uncharacterized ribosomal proteins confirm the utility of this approach for phosphoproteome analysis and its potential to increase our understanding of growth and development in plants.