The dynamic range of protein expression: a challenge for proteomic research

Microfluidics with MALDI analysis for proteomics--a review

Various microfluidic devices have been developed for proteomic analyses and many of these have been designed specifically for mass spectrometry detection. In this review, we present an overview of chip fabrication, microfluidic components, and the interfacing of these devices to matrix-assisted laser desorption ionization (MALDI) mass spectrometry. These devices can be directly coupled to the mass spectrometer for on-line analysis in real-time, or samples can be analyzed on-chip or deposited onto targets for off-line readout. Several approaches for combining microfluidic devices with analytical functions such as sample cleanup, digestion, and separations with MALDI mass spectrometry are discussed.

Mass Spectrometry in Diagnostic Oncoproteomics

Diagnostic oncoproteomics is the application of proteomic techniques for the diagnosis of malignancies. A new mass spectrometric technology involves surface enhanced laser desorption ionization combined with time-of flight mass analysis (SELDI-TOF-MS), using special protein chips. After the description of the relevant principles of the technique, including approaches to proteomic pattern diagnostics, applications are reviewed for the diagnosis of ovarian, breast, prostate, bladder, pancreatic, and head and neck cancers, and also several other malignancies. Finally, problems and prospects of the approach are discussed.

Biospecific irreversible fishing coupled with atomic force microscopy for detection of extremely low-abundant proteins

In the absence of an analog of PCR for proteins, the concentration detection limit (DL) becomes a real challenge. The problem may be solved by means of a combination of biospecific irreversible fishing with atomic force microscopy (AFM). AFM offers the ability to register individual molecules and their complexes, while biospecific fishing takes advantage of an affine interaction between analyte molecules spread over a large volume of biomaterial and ligand molecules immobilized on the chip surface. Fishing may be conducted in Kd-dependent reversible mode and in Kd-independent irreversible mode. In this study, the DLs of two previously applied proteomic approaches were determined and compared to the DL of a newly developed analytical method. The first approach, based on MS analysis of biomaterial after 2-DE or LC separation of proteins, attained a DL at the level of 10(-8)-10(-10) M. The second approach, based on the optical biosensor analysis of molecular interactions in the format of proteomic microarrays, had a DL of 10(-9)-10(-10) M. Our proposed method which combines biospecific fishing with AFM allowed us to attain DL values of 10(-11) M under reversible binding conditions and 10(-16) M under irreversible binding conditions.

Microfluidic chips for mass spectrometry-based proteomics

Microfluidic devices coupled to mass spectrometers have emerged as excellent tools for solving the complex analytical challenges associated with the field of proteomics. Current proteome identification procedures are accomplished through a series of steps that require many hours of labor-intensive work. Microfluidics can play an important role in proteomic sample preparation steps prior to mass spectral identification such as sample cleanup, digestion, and separations due to its ability to handle small sample quantities with the potential for high-throughput parallel analysis. To utilize microfluidic devices for proteomic analysis, an efficient interface between the microchip and the mass spectrometer is required. This tutorial provides an overview of the technologies and applications of microfluidic chips coupled to mass spectrometry for proteome analysis. Various approaches for combining microfluidic devices with electrospray ionization (ESI) and matrix-assisted laser desorption/ionization (MALDI) are summarized and applications of chip-based separations and digestion technologies to proteomic analysis are presented.

Combined analysis of transcriptome and proteome data as a tool for the identification of candidate biomarkers in renal cell carcinoma

Results obtained from expression profilings of renal cell carcinoma using different "ome"-based approaches and comprehensive data analysis demonstrated that proteome-based technologies and cDNA microarray analyses complement each other during the discovery phase for disease-related candidate biomarkers. The integration of the respective data revealed the uniqueness and complementarities of the different technologies. While comparative cDNA microarray analyses though restricted to up-regulated targets largely revealed genes involved in controlling gene/protein expression (19%) and signal transduction processes (13%), proteomics/PROTEOMEX-defined candidate biomarkers include enzymes of the cellular metabolism (36%), transport proteins (12%), and cell motility/structural molecules (10%). Candidate biomarkers defined by proteomics and PROTEOMEX are frequently shared, whereas the sharing rate between cDNA microarray and proteome-based profilings is limited. Putative candidate biomarkers provide insights into their cellular (dys)function and their diagnostic/prognostic value but still warrant further validation in larger patient numbers. Based on the fact that merely three candidate biomarkers were shared by all applied technologies, namely annexin A4, tubulin alpha-1A chain, and ubiquitin carboxyl-terminal hydrolase L1, the analysis at a single hierarchical level of biological regulation seems to provide only limited results thus emphasizing the importance and benefit of performing rather combinatorial screenings which can complement the standard clinical predictors.

A perspective on the Maillard reaction and the analysis of protein glycation by mass spectrometry: probing the pathogenesis of chronic disease

The Maillard reaction, starting from the glycation of protein and progressing to the formation of advanced glycation end-products (AGEs), is implicated in the development of complications of diabetes mellitus, as well as in the pathogenesis of cardiovascular, renal, and neurodegenerative diseases. In this perspective review, we provide an overview on the relevance of the Maillard reaction in the pathogenesis of chronic disease and discuss traditional approaches and recent developments in the analysis of glycated proteins by mass spectrometry. We propose that proteomics approaches, particularly bottom-up proteomics, will play a significant role in analyses of clinical samples leading to the identification of new markers of disease development and progression.

Proteins associated with immunopurified granules from a model pancreatic islet beta-cell system: proteomic snapshot of an endocrine secretory granule

beta-Cell granules contain proteins involved in fuel regulation, which when altered, contribute to metabolic disorders including diabetes mellitus. We analyzed proteins present in purified granules from the INS-1E beta-cell model. Fifty-one component proteins were identified by LC-MS/MS including hormones, granins, protein processing components, cellular trafficking components, enzymes implicated in cellular metabolism and chaperone proteins. These findings may increase understanding of granule secretion and the processes leading to protein aggregation and beta-cell death in type-2 diabetes.

Isolation of highly enriched apical plasma membranes of the placental syncytiotrophoblast

The human placenta is a complex organ whose proper function is crucial for the development of the fetus. The placenta contains within its structure elements of the maternal and fetal circulatory systems. The interface with maternal blood is the lining of the placenta, that is a unique compartment known as the syncytiotrophoblast. This large syncytial structure is a single cell layer in thickness, and the apical plasma membrane of the syncytiotrophoblast interacts directly with maternal blood. Relatively little is known about the proteins that reside in this unique plasma membrane or how they may change in various placental diseases. Our goal was to develop methods for isolating highly enriched preparations of this apical plasma membrane compatible with high-quality proteomics analysis and herein describe the properties of these isolated membranes.

18O stable isotope labeling in MS-based proteomics

A variety of stable isotope labeling techniques have been developed and used in mass spectrometry (MS)-based proteomics, primarily for relative quantitation of changes in protein abundances between two compared samples, but also for qualitative characterization of differentially labeled proteomes. Differential (16)O/(18)O coding relies on the (18)O exchange that takes place at the C-terminal carboxyl group of proteolytic fragments, where two (16)O atoms are typically replaced by two (18)O atoms by enzyme-catalyzed oxygen-exchange in the presence of H(2)(18)O. The resulting mass shift between differentially labeled peptide ions permits identification, characterization and quantitation of proteins from which the peptides are proteolytically generated. This review focuses on the utility of (16)O/(18)O labeling within the context of mass spectrometry-based proteome research. Different strategies employing (16)O/(18)O are examined in the context of global comparative proteome profiling, targeted subcellular proteomics, analysis of post-translational modifications and biomarker discovery. Also discussed are analytical issues related to this technique, including variable (18)O exchange along with advantages and disadvantages of (16)O/(18)O labeling in comparison with other isotope-coding techniques.

Selection of pH ranges in 2DE

This chapter describes the technical improvements of the two-dimensional electrophoresis pattern resulting of an optimized pH range in the first dimension. Various types of pH gradients are available. Different strategies can be applied in order to select the pH ranges for the exploration of a proteome. The resulting gels are analysed for their background, resolution, sensitivity in relation with the sample complexity. As the complete dynamic range of protein expression cannot be visualized, the high loading capacity of immobilized narrow pH gradients can be used. The limitations and possible enhancements are discussed.

Difficult proteins

The degree of protein diversity and dynamic range within organisms means that even the simplest proteome cannot be captured by any single extraction and separation step. New techniques have focused on major protein classes often under-represented in proteome analysis; low abundance, membrane, and alkaline proteins. The last decade has seen considerable technology development in fractionation tools aimed at complexity reduction in many forms. The key outcome of complexity reduction is that each fraction, or sub-proteome, can be studied in more detail, and proteins which would have remained undetected in a total extract are present in sufficient quantities. However, the tools available are fractionations, not amplifications, and like all mining for rare and difficult items, a large amount of starting material is often required. The key shortcomings of many proteome analysis techniques are now well documented. With this knowledge, the best modern proteomics 'platform' involves combining multiple protein extractions, gel and chromatographic separations, and multiple MS analysis methods.

Organelle proteomics

The proteome of the cell is at the frontier of being too complex for proteomic analysis. Organelles provide a step up. Organelles compartmentalize the cell enabling a proteome, physiology and metabolism analysis in time and in space. Protein complexes separated by electrophoresis have been identified as the next natural level to characterize the organelles' compartmentalized membrane and soluble proteomes by mass spectrometry. Work on mitochondria and chloroplasts has shown where we are in the characterization of complex proteomes to understand the network of endogenous and extrinsic factors which regulate growth and development, adaptation and evolution.

Placental proteomics: a shortcut to biological insight

Proteomics analysis of biological samples has the potential to identify novel protein expression patterns and/or changes in protein expression patterns in different developmental or disease states. An important component of successful proteomics research, at least in its present form, is to reduce the complexity of the sample if it is derived from cells or tissues. One method to simplify complex tissues is to focus on a specific, highly purified sub-proteome. Using this approach we have developed methods to prepare highly enriched fractions of the apical plasma membrane of the syncytiotrophoblast. Through proteomics analysis of this fraction we have identified over five hundred proteins several of which were previously not known to reside in the syncytiotrophoblast. Herein, we focus on two of these, dysferlin and myoferlin. These proteins, largely known from studies of skeletal muscle, may not have been found in the human placenta were it not for discovery-based proteomics analysis. This new knowledge, acquired through a discovery-driven approach, can now be applied for the generation of hypothesis-based experimentation. Thus discovery-based and hypothesis-based research are complimentary approaches that when coupled together can hasten scientific discoveries.

Nonionic detergent phase extraction for the proteomic analysis of heart membrane proteins using label-free LC-MS

Heart diseases resulting in heart failure are among the leading causes of morbidity and mortality in the Western world and can result from either systemic disease (e.g., hypertensive heart disease, ischemic heart disease) or specific heart muscle disease (e.g., dilated cardiomyopathy/DCM). Subproteome analysis of such disease subsets affords a reduction in sample complexity, potentially revealing biomarkers of cardiac failure that would otherwise remain undiscovered in proteome wide studies. Label-free nanoscale LC-MS has been applied in this study to validate a Triton X-114-based phase enrichment method for cardiac membrane proteins. Annotation of the subcellular location combined with GRAVY score analysis indicates a clear separation between soluble and membrane-bound proteins with an enrichment of over 62% for this protein subset. LC-MS allowed confident identification and annotation of hydrophobic proteins in this control sample pilot study and demonstrates the power of the proposed technique to extract integral membrane-bound proteins. This approach should be applicable to a wider scale study of disease-associated changes in the cardiac membrane subproteome.

Quantification of isotope encoded proteins in 2-D gels using surface enhanced resonance Raman

A strategy for quantification of multiple protein isoforms from a complex sample background is demonstrated, combining isotopomeric rhodamine 6G (R6G) labels and surface-enhanced Raman in polyacrylamide matrix. The procedure involves isotope-encoding by lysine-labeling with (R6G) active ester reagents, isoform separation by 2-DGE, fluorescence quantification using internal standardization to water, and silver nanoparticle deposition followed by surface-enhanced Raman detection. R6G sample encoding and standardization enabled the determination of total protein concentration and the distribution of specific isoforms using the combined detection approach of water-referenced fluorescence spectral imaging and ratiometric quantification. A detection limit of approximately 13.5 picomolar R6G-labeled protein was determined for the surface-enhanced Raman in a gel matrix (15-fold lower than fluorescence). High quantification accuracies for small differences in protein populations at low nanogram abundance were demonstrated for human GMP synthetase (hGMPS) either as purified protein samples in a single-point determination mode (3% relative standard deviation, RSD%) or as HCT116 human cancer cellular lysate in an imaging application (with 16% RSD%). These results represent a prototype for future applications of isotopic surface-enhanced resonance Raman scatter to quantification of protein distributions.

Neuroproteomics as a promising tool in Parkinson's disease research

Despite the vast number of studies on Parkinson's disease (PD), its effective diagnosis and treatment remains unsatisfactory. Hence, the relentless search for an optimal cure continues. The emergence of neuroproteomics, with its sophisticated techniques and non-biased ability to quantify proteins, provides a methodology with which to study the changes in neurons that are associated with neurodegeneration. Neuroproteomics is an emerging tool to establish disease-associated protein profiles, while also generating a greater understanding as to how these proteins interact and undergo post-translational modifications. Furthermore, due to the advances made in bioinformatics, insight is created concerning their functional characteristics. In this review, we first summarize the most prominent proteomics techniques and then discuss the major advances in the fast-growing field of neuroproteomics in PD. Ultimately, it is hoped that the application of this technology will lead towards a presymptomatic diagnosis of PD, and the identification of risk factors and new therapeutic targets at which pharmacological intervention can be aimed.

Biomarker discovery in psychiatric disorders

Schizophrenia is a multifaceted neuropsychiatric disorder. Its onset is the result of complex interactions between genetic, developmental and environmental factors. It almost certainly presents a heterogeneous group of aetiologies which may not be reflected in the symptomatic/clinical presentation of patients. Therefore, a better molecular understanding of the disease onset and progression is urgently needed. The high complexity of the disorder and the heterogeneity of patient populations account for the slow progress of biomarker discovery approaches. Multi-omics profiling approaches can be employed to investigate large numbers of patient and control samples in a single experiment. These large scale experiments are required to identify disease intrinsic molecular signatures as well as patient subgroups with potentially distinct biochemical pathways underpinning their symptoms. In this overview, we describe some of the most important challenges for biomarker discovery for psychiatric disorders and emphasize how these problems contribute to the requirement of large sample numbers. Results of MS-based protein profiling studies in schizophrenia research are reviewed and technical advantages and difficulties of the methodologies described. We outline recent technological advances that generated impressive results in other areas of research and point to their applicability for biomarker discovery in psychiatric disorders.

Comparative analysis of renal protein expression in spontaneously hypertensive rat

OBJECTIVE

Molecular mechanisms of nephrosclerosis caused by hypertension are not well known. Understanding changes in renal protein expression in hypertension may provide further information on how hypertension caused renal injury.

METHODS AND RESULTS

In the present study, we showed the protein expression profiles of the kidney in spontaneously hypertensive rats and Wistar-Kyoto rats using two-dimensional gel electrophoresis (2-DE). Differentially expressed protein spots were excised, underwent in-gel tryptic digestion, and were analyzed by MALDI-TOF MS. Eleven spots were identified. Of these identified spots, four spots were newly appeared, five spots up-regulated, and two spots down-regulated. The identified spots were mainly involved in energy metabolism, lipid transferring between membranes, and cell proliferation.

CONCLUSIONS

The expression of many proteins have changed significantly in the kidney of spontaneously hypertensive rat. NADP(+)-dependent isocitrate dehydrogenase may be a candidate for further investigation of pathophysiological mechanisms of renal injury in hypertension.

Global mapping of the topography and magnitude of proteolytic events in apoptosis

Proteolysis is a key regulatory process that promotes the (in)activation, translocation, and/or degradation of proteins. As such, there is considerable interest in methods to comprehensively characterize proteolytic pathways in biological systems. Here, we describe a robust and versatile proteomic platform that enables direct visualization of the topography and magnitude of proteolytic events on a global scale. We use this method to generate a proteome-wide map of proteolytic events induced by the intrinsic apoptotic pathway. This profile contained 91 characterized caspase substrates as well as 170 additional proteins not previously known to be cleaved during apoptosis. Surprisingly, the vast majority of proteolyzed proteins, regardless of the extent of cleavage, yielded persistent fragments that correspond to discrete protein domains, suggesting that the generation of active effector proteins may be a principal function of apoptotic proteolytic cascades.

Proteome analysis of non-model plants: a challenging but powerful approach

Biological research has focused in the past on model organisms and most of the functional genomics studies in the field of plant sciences are still performed on model species or species that are characterized to a great extent. However, numerous non-model plants are essential as food, feed, or energy resource. Some features and processes are unique to these plant species or families and cannot be approached via a model plant. The power of all proteomic and transcriptomic methods, that is, high-throughput identification of candidate gene products, tends to be lost in non-model species due to the lack of genomic information or due to the sequence divergence to a related model organism. Nevertheless, a proteomics approach has a great potential to study non-model species. This work reviews non-model plants from a proteomic angle and provides an outline of the problems encountered when initiating the proteome analysis of a non-model organism. The review tackles problems associated with (i) sample preparation, (ii) the analysis and interpretation of a complex data set, (iii) the protein identification via MS, and (iv) data management and integration. We will illustrate the power of 2DE for non-model plants in combination with multivariate data analysis and MS/MS identification and will evaluate possible alternatives.

Affinity separation and enrichment methods in proteomic analysis

Protein separation or enrichment is one of the rate-limiting steps in proteomic studies. Specific capture and removal of highly-abundant proteins (HAP) with large sample-handling capacities are in great demand for enabling detection and analysis of low-abundant proteins (LAP). How to grasp and enrich these specific proteins or LAP in complex protein mixtures is also an outstanding challenge for biomarker discovery and validation. In response to these needs, various approaches for removal of HAP or capture of LAP in biological fluids, particularly in plasma or serum, have been developed. Among them, immunoaffinity subtraction methods based upon polyclonal IgY or IgG antibodies have shown to possess unique advantages for proteomic analysis of plasma, serum and other biological samples. In addition, other affinity methods that use recombinant proteins, lectins, peptides, or chemical ligands have also been developed and applied to LAP capture or enrichment. This review discusses in detail the need to put technologies and methods in affinity subtraction or enrichment into a context of proteomic and systems biology as "Separomics" and provides a prospective of affinity-mediated proteomics. Specific products, along with their features, advantages, and disadvantages will also be discussed.

Proteomics: present and future implications in neuro-oncology

PROTEOMICS, IN ITS broadest mandate, is the study of proteins and their functions. As the "workhorses" of the genome, proteins govern normal cellular structure and function. Protein function is not just a reflection of its expression level; it is also the cumulative result of many post-transcriptional (splicing) and post-translational events that together determine cellular localization, interactions, and longevity. The composition and variability of the proteome is vastly more complex than the corresponding genome. It is this proteome variation that helps define an organism and the unique characteristics that separate one individual from another. Aberrations in protein function, which alter normal cellular structure and function, are the ultimate basis of disease, including cancer. Therefore, an understanding of protein networks through a systems biology approach of proteomics is necessary to understand normal and abnormal cellular function, with the goal of performing rational therapeutic interventions. In this review, we focus on two emerging proteomic technologies: mass spectrometry and bioluminescence resonance energy transfer. In addition to reviewing the principles and potential utilization of these two techniques, we highlight their application in neuro-oncology research.

A novel workflow control system for Fourier transform ion cyclotron resonance mass spectrometry allows for unique on-the-fly data-dependent decisions

In this paper a novel workflow-based data acquisition and control system for Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) is presented that facilitates a fast on-the-fly decision-making process for a wide variety of data-dependent experiments. Several new workflow implementations demonstrate the flexibility and benefit of this approach for rapid dynamic experimental design on a chromatographic timescale. The different sequence, evaluation, decision and monitoring modules are described using a selected set of examples. During a tandem liquid chromatography (LC)/FTICR-MS experiment the system is used to dynamically switch between various dissociation techniques such as electron capture dissociation (ECD) and sustained off-resonance irradiation (SORI) depending on the charge state of a tryptic peptide peak. The use of this workflow-based system for imaging FTICR-MS using a desorption electrospray ionization (DESI) source demonstrates the possibility of external control of the workflow by feedback from an imaging sample stage.

Proteomic analysis of bovine conceptus fluids during early pregnancy

A proteomic analysis of bovine amniotic and allantoic fluids collected around Day 45 of gestation was performed using gel-based and LC-based MS workflows. A depletion/enrichment protocol using ultrafiltration under denaturing and reducing conditions produced an enriched fraction containing protein species predominantly between 5 and 50 kDa molecular weight. The analyses of conceptus fluid proteins were performed using two strategies; first, 2-DE coupled with MALDI-TOF-MS/MS and LC-ESI-MS/MS analysis of individual protein spots and second, a global protein snapshot of the enriched 5-50 kDa protein fraction by LC-ESI-MS/MS and LC-MALDI-TOF-MS/MS. Allocation of bovine specific protein identities was achieved by searching the Interactive Bovine In Silico SNP (IBISS) and NCBInr protein sequence databases resulting in the confident PMF identification and MS/MS confirmation of >200 2-DE generated allantoic fluids protein spots (74 individual protein species identified) and the MS/MS peptide identification of 105 LC-ESI-MS/MS generated protein identities. In total, the identity of 139 individual protein species from allantoic fluids was confirmed with peptide sequence probability MOWSE scores at the p<0.05 level or better. The comparison of bovine Day 45 amniotic and allantoic fluids protein profiles revealed differences between these two conceptus fluids in early pregnancy.

Changes in the proteome of functional and regressing corpus luteum during pregnancy and lactation in the rat

The corpus luteum (CL) is an exquisitely regulated transitory endocrine gland necessary for the onset and maintenance of pregnancy in mammals. Most of the data on the mechanisms of CL differentiation at the molecular level come from genomic studies, but direct protein data are scarce. Here we have undertaken a differential expression proteomic approach to identify, in an unbiased way, those proteins whose levels change significantly in the rat CL as it evolves from functionality during pregnancy to regression after parturition. Moreover, we have compared the regressing CL with the newly formed functional CL that coexist during lactation under the same endocrine environment. We have defined a "proteomic signature" of CL functionality, which is constituted by a set of 24 proteins with a few differences between pregnancy and lactation. Most of these markers are new and are involved in microtubule assembly, retinoic acid transport, and Raf kinase signaling cascade; 10 are enzymes that define a ketogenic metabolic landscape, demonstrating, for the first time, the prevalence of de novo cholesterol synthesis in luteal cells. The "proteomic signature of regression," on the other hand, is composed of nine proteins, one of which is 20alpha-hydroxysteroid dehydrogenase and two, ferritin and gamma-actin, are new. The discovery of unpredictable new actors in the differentiation process of CL reported here will contribute to new hypotheses that explain the complex female reproductive function at the protein level. It will also open new doors to research on each identified protein by relating them to cellular differentiation.

[Establishment and analysis of serum two-dimensional gel electrophoresis profiles of myasthenia gravis patients with spleen and kidney deficiency syndrome]

OBJECTIVE

The purpose of this study was to establish two-dimensional gel electrophoresis (2-DE) profiles of serum of myasthenia gravis patients, and to identify the differential proteomic expressions between normal persons and myasthenia gravis patients with spleen and kidney deficiency syndrome.

METHODS

Samples of serum protein were extracted by repeated freeze-thaw method and separated by two-dimensional electrophoresis. Differential proteomic expressions between the myasthenia gravis patients and the normal control persons were identified by two-dimensional polyacrylamide gel electrophoresis, silver staining, image-master 2-DE software analysis, peptide mass fingerprinting based on matrix assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS), BioWorks and NCBI software database searching.

RESULTS

The two-dimensional polyacrylamide gel electrophoresis profiles of serum proteins were successfully established by 2-DE. Twenty-one of the significant differential proteins were selected and identified by MALDI-TOF-MS. Eight of them were finally identified.

CONCLUSIONS

The 2-DE profiles of serum proteins were established and the differential proteomic expressions were identified by proteome technique in our study. This can be an experimental basis for further research of the pathogenesis and treatment of myasthenia gravis.

Characterization of voltage degradation in dynamic field gradient focusing

Dynamic field gradient focusing (DFGF) is an equilibrium gradient method that utilizes an electric field gradient to simultaneously separate and concentrate charged analytes based on their individual electrophoretic mobilities. This work describes the use of a 2-D nonlinear, numerical simulation to examine the impact of voltage loss from the electrodes to the separation channel, termed voltage degradation, and distortions in the electric field on the performance of DFGF. One of the design parameters that has a large impact on the degree of voltage degradation is the placement of the electrodes in relation to the separation channel. The simulation shows that a distance of about 3 mm from the electrodes to the separation channel gives the electric field profile with least amount of voltage degradation. The simulation was also used to describe the elution of focused protein peaks. The simulation shows that elution under constant electric field gradient gives better performance than elution through shallowing of the electric field. Qualitative agreement between the numerical simulation and experimental results is shown. The simulation also illustrates that the presence of a defocusing region at the cathodic end of the separation channel causes peak dispersion during elution. The numerical model is then used to design a system that does not suffer from a defocusing region. Peaks eluted under this design experienced no band broadening in our simulations. Preliminary experimental results using the redesigned chamber are shown.

Type 2 diabetes: Gaining insight into the disease process using proteomics

The incidence of diabetes mellitus is growing rapidly, with an increasing disease related morbidity and mortality. This is caused by macro- and microvascular complications, as a consequence of the often late diagnosis of type 2 diabetes (T2D), but especially by the difficulties to control glucose homeostasis due to the progressive nature of the disease. T2D is moreover a dual disease, with components of beta-cell failure and components of insulin resistance in peripheral organs, such as liver, fat, and muscle. Understanding the pathogenesis of the disease by gaining insight into the molecular pathways involved in both phenomena is one of the major assets of proteomic approaches. Moreover, proteomics and peptidomics may provide us with robust biomarkers for beta-cell failure, insulin resistance in pheripheral organs, but also for the development of diabetic complications. This review focuses on the knowledge gained by use of proteomic and peptidomic techniques in the study of the pathophysiology of T2D and in the attempts to discover new therapeutic targets.

Proteomics of the human placenta: promises and realities

Proteomics is an area of study that sets as its ultimate goal the global analysis of all of the proteins expressed in a biological system of interest. However, technical limitations currently hamper proteome-wide analyses of complex systems. In a more practical sense, a desired outcome of proteomics research is the translation of large protein data sets into formats that provide meaningful information regarding clinical conditions (e.g., biomarkers to serve as diagnostic and/or prognostic indicators of disease). Herein, we discuss placental proteomics by describing existing studies, pointing out their strengths and weaknesses. In so doing, we strive to inform investigators interested in this area of research about the current gap between hyperbolic promises and realities. Additionally, we discuss the utility of proteomics in discovery-based research, particularly as regards the capacity to unearth novel insights into placental biology. Importantly, when considering under studied systems such as the human placenta and diseases associated with abnormalities in placental function, proteomics can serve as a robust 'shortcut' to obtaining information unlikely to be garnered using traditional approaches.

Microscale isoelectric focusing in solution: a method for comprehensive and quantitative proteome analysis using 1-D and 2-D DIGE combined with MicroSol IEF prefractionation

Current methods for quantitatively comparing complex protein profiles such as two-dimensional gel electrophoresis (2-DE), 2-D differential in-gel electrophoresis (DIGE), and liquid chromatography (LC)-mass spectrometry (MS) have limited resolution and dynamic ranges and therefore detect only a small portion of complex proteomes. To enhance protein profiling of complex samples, including human cell lines, tissue specimens, and plasma samples, complex proteomes can be prefractionated with microscale solution isoelectric focusing (MicroSol IEF). MicroSol IEF is compatible with most downstream proteome analysis methods including narrow range 2-D gels and 1-D gels followed by LC-MS/MS or LC/LC-MS/MS. This chapter describes the use of MicroSol IEF followed by 1-D and 2-D DIGE. The method has the advantage of more extensive proteome coverage compared with conventional 2-D DIGE alone. Furthermore, the use of fluorescent labeling before MicroSol IEF avoids any complications resulting from slight run-to-run variations during MicroSol IEF fractionation or the subsequent 2-D gel separations. The combination of DIGE and MicroSol IEF produces a powerful method for more comprehensive and quantitative comparison of protein profiles of complex proteomes.

Cross species applicability of abundant protein depletion columns for ribulose-1,5-bisphosphate carboxylase/oxygenase

In plants, ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO) is an important enzyme in the Calvin cycle, catalyzing the first step of carbon fixation. Because of its critical role in photosynthesis, RuBisCO comprises 30-60% of the total protein content in green leaf tissue and represents a major protein which can interfere with determination of lower abundance proteins in plant proteomics. A potential solution to aid in the determination of low level proteins in plant proteomics are RuBisCO immunodepletion columns. Two formats, spin and LC, of Seppro IgY RuBisCO depletion columns were evaluated for cross species applicability. The spin and LC columns were found to deplete arabidopsis RuBisCO by greater than 90 and 98%, respectively, and automation could be achieved with the LC format. Canola RuBisCO was depleted to a similar extent, and there was evidence suggesting that corn and tobacco RuBisCO were also highly depleted in flow through fractions. Model proteins were spiked into samples to provide insight into the degree of non-specific binding. Finally, improved detection and identification of lower abundance proteins was demonstrated after depletion.

A novel pyrimidine-based stable-isotope labeling reagent and its application to quantitative analysis using matrix-assisted laser desorption/ionization mass spectrometry

As an extension of our previous work, a novel pyrimidine-based stable-isotope labeling reagent, [d(0)]-/[d(6)]-4,6-dimethoxy-2-(methylsulfonyl)pyrimidine (DMMSP), was developed for comparative quantification of proteins by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Our one-step labeling strategy combines several desirable properties such as cysteine-specific labeling, signal amplification and direct analysis with minimum sample handling. All these features not only allow easy interpretation for protein identification and quantification but also ensure rapid and sensitive progression to MS analysis. Using cysteine, Cys-containing peptide, and lysozyme digest as model samples, the labeling methodology was established and the following pilot application for quantitative analysis was accomplished with high confidence, accuracy, efficiency, and reproducibility. The application of DMMSP-labeling strategy is expected to provide a powerful new tool for comparative proteome research, especially for the analysis of low-abundance proteins.

Proteomics of the heart: unraveling disease

Heart diseases resulting in heart failure are among the leading causes of morbidity and mortality in developed countries. Underlying molecular causes of cardiac dysfunction in most heart diseases are still largely unknown but are expected to result from causal alterations in gene and protein expression. Proteomic technology now allows us to examine global alterations in protein expression in the diseased heart and can provide new insights into cellular mechanisms involved in cardiac dysfunction. The majority of proteomic investigations still use 2D gel electrophoresis (2-DE) with immobilized pH gradients to separate the proteins in a sample and combine this with mass spectrometry (MS) technologies to identify proteins. In spite of the development of novel gel-free technologies, 2-DE remains the only technique that can be routinely applied to parallel quantitative expression profiling of large sets of complex protein mixtures such as whole cell lysates. It can resolve >5000 proteins simultaneously (approximately 2000 proteins routinely) and can detect <1 ng of protein per spot. Furthermore, 2-DE delivers a map of intact proteins, which reflects changes in protein expression level, isoforms, or post-translational modifications. The use of proteomics to investigate heart disease should result in the generation of new diagnostic and therapeutic markers. In this article, we review the current status of proteomic technologies, describing the 2-DE proteomics workflow, with an overview of protein identification by MS and how these technologies are being applied to studies of human heart disease.

Use of multidimensional separation protocols for the purification of trace components in complex biological samples for proteomics analysis

The routine detection of low abundance components in complex samples for detailed proteomics analysis continues to be a challenge. Whilst the potential of multidimensional chromatographic fractionation for this purpose has been proposed for some years, and was used effectively for the purification to homogeneity of trace components in bulk biological samples for N-terminal sequence analysis, its practical application in the proteomics arena is still limited. This article reviews some of the recent data using these approaches, including the use of microaffinity purification as part of multidimensional protocols for downstream proteomics analysis.

How will haematologists use proteomics?

Proteomics technologies are emerging as a useful tool in the identification of disease biomarkers, and in defining and characterising both normal physiological and disease processes. Many cellular changes in protein expression in response to an external stimulus or mutation can only be characterised at the proteome level. In these cases protein expression is often controlled by altered rates of translation and/or degradation, making proteomics an important tool in the analysis of biological systems. In the leukaemias, post-translational modification of proteins (e.g. phosphorylation, acetylation) plays a key role in the molecular pathology of the disease: such modifications can now be detected with novel proteomic methods. In a clinical setting, serum remains a relatively un-mined source of information for prognosis and response to therapy. This protein rich fluid represents an opportunity for proteomics research to benefit hematologists and others. In this review, we discuss the technologies available for the study of the proteome that offer realistic opportunities in haematology.