Protein composition of the human heart: the construction of a myocardial two-dimensional electrophoresis database

Workflow towards the generation of bioactive hydrolysates from porcine products by combining in silico and in vitro approaches

Food-derived bioactive peptides have generated an increasing interest in the field of health and well-being research. They can act either against the metabolic syndrome, participate in regulating the oxidation balance or act on the immune system. The aim of this study is to develop a workflow to generate bioactive peptides from three porcine offals namely, heart, liver, and lung and one muscle the Longissimus Dorsi, by combining in silico and in vitro approaches. Bioinformatics tools (e.i. BIOPEP and Uniprot) permitted to orientate the choice of enzymes for generating abundant bioactive peptides from the four studied porcine products. With papain and subtilisin, the main bioactivities potentially released were ACE inhibitors, DPP4 inhibitors and antioxidant peptides. An in vitro validation study using papain and subtilisin demonstrated high DPP4 inhibitors and antioxidant bioactivities for the generation of peptides. This work allowed: i) the identification of all proteins that composed porcine heart, liver, lung and LD muscle that could be useful for the scientific community, ii) the development of a workflow to select most abundant proteins in a product while considering abundance factors and iii) the potential of porcine meat and offals to generate DPP4 inhibitors and antioxidant peptides. However, there is still a need in developing new tools in order to face limitations of mass spectrometry for the identification of peptides with less than six amino acids. Such a work may contribute to the development of the circular economy and the innovative creation of value-added products from animal production.

Proteomics and metabolomics for mechanistic insights and biomarker discovery in cardiovascular disease

In the last decade, proteomics and metabolomics have contributed substantially to our understanding of cardiovascular diseases. The unbiased assessment of pathophysiological processes without a priori assumptions complements other molecular biology techniques that are currently used in a reductionist approach. In this review, we highlight some of the "omics" methods used to assess protein and metabolite changes in cardiovascular disease. A discrete biological function is very rarely attributed to a single molecule; more often it is the combined input of many proteins. In contrast to the reductionist approach, in which molecules are studied individually, "omics" platforms allow the study of more complex interactions in biological systems. Combining proteomics and metabolomics to quantify changes in metabolites and their corresponding enzymes will advance our understanding of pathophysiological mechanisms and aid the identification of novel biomarkers for cardiovascular disease.

Using extracellular matrix proteomics to understand left ventricular remodeling

Survival following myocardial infarction (MI) has improved substantially over the last 40 years; however, the incidence of subsequent congestive heart failure has dramatically increased as a consequence. Discovering plasma markers that signify adverse cardiac remodeling may allow high-risk patients to be recognized earlier and may provide an improved way to assess treatment efficacy. Alterations in extracellular matrix (ECM) regulate cardiac remodeling following MI and potentially provide a large array of candidate indicators.

The field of cardiac proteomics has progressed rapidly over the past 20 years, since publication of the first two-dimensional electrophoretic gels of left ventricle proteins. Proteomic approaches are now routinely utilized to better understand how the left ventricle responds to injury.

In this review, we will discuss how methods have developed to allow comprehensive evaluation of the ECM proteome. We will explain how ECM proteomic data can be used to predict adverse remodeling for an individual patient and highlight future directions. Although this review will focus on the use of ECM proteomics to better understand post-MI remodeling responses, these approaches have applicability to a wide-range of cardiac pathologies, including pressure overload hypertrophy, viral myocarditis, and non-ischemic heart failure.

Viral myocarditis induced by Coxsackievirus B3 in A.BY/SnJ mice: analysis of changes in the myocardial proteome

Enteroviral myocarditis displays highly diverse clinical phenotypes ranging from mild dyspnoea or chest pain to cardiogenic shock and death. Despite detailed studies of the virus life cycle in vitro and in vivo, the molecular interplay between host and virus in disease progression is largely unresolved. Murine models of Coxsackievirus B3 (CVB3)-induced myocarditis well mimic the human disease patterns and can thus be explored to study mechanisms leading from acute to chronic myocarditis. Here, we present a 2-D gel-based proteomic survey of the changes in the murine cardiac proteome that occurs following infection with CVB3. In total, 136 distinct proteins were affected. Proteins, which are involved in immunity and defense and protein metabolism/modification displayed pronounced changes in intensity not only during acute but also at later stages of CVB3 myocarditis. Proteins involved in maintenance of cell structure and associated proteins were particularly influenced in the acute phase of myocarditis, whereas reduction of levels of metabolic enzymes was observed in chronic myocarditis. Studies about changes in protein intensities were complemented by an analysis of protein phosphorylation that revealed infection-associated changes in the phosphorylation of myosin binding protein C, atrial and ventricular isoforms of myosin regulatory light chain 2, desmin, and Rab GDP dissociation inhibitor beta-2.

Fully Automated Two-Dimensional Electrophoresis System for High-Throughput Protein Analysis

We developed a fully automated electrophoresis system for rapid and highly reproducible protein analysis. All the two-dimensional (2D) electrophoresis procedures including isoelectric focusing (IEF), on-part protein staining, sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE), and in situ protein detection were automatically completed. The system comprised Peltiert devices, high-voltage generating devices, electrodes, and three disposable polymethylmethacrylate (PMMA) parts for IEF, reaction chambers, and SDS-PAGE. Because of miniaturization of the IEF part, rapid IEF was achieved in 30 min. A gel with a tapered edge gel on the SDS-PAGE part realized a connection between the parts without use of a gluing material. A biaxial conveyer was employed for the part relocation, sample introduction, and washing processes to realize a low-maintenance and cost-effective automation system. Performances of the system and a commercial minigel system were compared in terms of detected number, resolution, and reproducibility of the protein spots. The system achieved high-resolution comparable to the minigel system despite shorter focusing time and smaller part dimensions. The resulting reproducibility was better or comparable to the performance of the minigel system. Complete 2D separation was achieved within 1.5 h. The system is practical, portable, and has automation capabilities.

Cardiovascular proteomics: past, present, and future

With cardiovascular (CV)-related disorders accounting for the highest mortality rates in the world, affecting the quantity and quality of life of patients and creating an economic burden of prolonged therapeutic intervention, there is great significance in understanding the cellular and molecular alterations that influence the progression of these pathologies. The cellular genotype is regulated by the DNA component, whilst the cellular phenotype is influenced by the protein complement. By improving the understanding of the molecular mechanisms that influence the protein profile, the pathologies that influence the intrinsic functions of the CV system may be detected earlier or managed more efficiently. This is achievable with technologies encompassed by 'proteomics.' Proteomic investigations of CV diseases, including dilated cardiomyopathy (DCM), atherosclerosis, and ischemia/reperfusion (I/R) injury, have identified candidate proteins altered with the pathologic states, complementing past biochemical and physiologic observations. Whilst proteomics is still a relatively new discipline to be applied to the basic scientific investigation of CV diseases, it is emerging as a technique to screen for potential biomarkers in both tissues/cells and biologic fluids (biofluids), as well as to identify the targets of existing therapeutics. By enabling the separation of complex mixtures over numerous dimensions, exploiting the intrinsic properties of proteins, including charge state, molecular mass, and hydrophobicity, in addition to cellular location, the discrete alterations within the cell may be resolved. Proteomics has shown alterations to myofilament proteins including troponin I and myosin light chain, correlating with the reduction in contractility in the myocardium from DCM and I/R. The diverse cell types that coalesce to induce atherosclerotic plaque formation have been investigated both collectively and individually to elucidate the influence of the modifications to single cell types on the developing plaque as a whole. Proteomics has also been used to observe changes to biofluids occurring with these pathologies, a new potential link between basic science and clinical applications. The development of CV proteomics has helped to identify a number of possible protein candidates, and offers the potential to treat and diagnose CV disease more effectively in the future.

Pharmacogénomique et pharmacoprotéomique

The development of personalized medicine will require improved knowledge of biological variability, particularly concerning the important impact of each individual's genetic makeup. A five-step strategy can be followed when trying to identify genes and gene products involved in differential responses to cardiovascular drugs: 1) Pharmacokinetic-related genes and phenotypes; (2) Pharmacodynamic targets, genes and products; (3) Cardiovascular diseases and risks depending on specific or large metabolic cycles; (4) Physiological variations of previously identified genes and proteins; (5) Environmental influences on them. After summarizing the most well known genes involved in drug metabolism, we used statins as an example. In addition to their economic impact, statins are generally considered to be of significant importance in terms of public health. Individuals respond differently to these drugs depending on multiple polymorphisms. Applying a pharmacoproteomic strategy, it is important to use available information on peptides, proteins and metabolites, generally gene products, in each of the five steps. A profiling approach dealing with genomics as well as proteomics is useful. In conclusion, the ever growing volume of available data will require an organized interpretation of variations in DNA and mRNA as well as proteins, both on the individual and population level.

Proteomics in cardiovascular surgery

Proteomics describes, analogous to the term genomics, the study of the complete set of proteins present in a cell, organ, or organism at a given time. The genome tells us what could theoretically happen, whereas the proteome tells us what does happen. Therefore, a genomic-centered view of biologic processes is incomplete and does not describe what happens at the protein level. Proteomics is a relatively new methodology and is rapidly changing because of extensive advances in the underlying techniques. The core technologies of proteomics are 2-dimensional gel electrophoresis, liquid chromatography, and mass spectrometry. Proteomic approaches might help to close the gap between traditional pathophysiologic and more recent genomic studies, assisting our basic understanding of cardiovascular disease. The application of proteomics in cardiovascular medicine holds great promise. The analysis of tissue and plasma/serum specimens has the potential to provide unique information on the patient. Proteomics might therefore influence daily clinical practice, providing tools for diagnosis, defining the disease state, assessing of individual risk profiles, examining and/or screening of healthy relatives of patients, monitoring the course of the disease, determining the outcome, and setting up individual therapeutic strategies. Currently available clinical applications of proteomics are limited and focus mainly on cardiovascular biomarkers of chronic heart failure and myocardial ischemia. Larger clinical studies are required to test whether proteomics may have promising applications for clinical medicine. Cardiovascular surgeons should be aware of this increasingly pertinent and challenging field of science.

Redox proteomic identification of oxidized cardiac proteins in adriamycin-treated mice

Adriamycin (ADR) is a potent anticancer drug, but its use is limited by a dose-dependent cardiotoxicity. Oxidative stress is regarded as the mediating mechanism of ADR cardiotoxicity. However, cardiac proteins that are oxidatively modified have not been well characterized. We took a redox proteomics approach to identify increasingly oxidized murine cardiac proteins after a single injection of ADR (ip, 20 mg/kg body wt). The specific carbonyl levels of three proteins were significantly increased, and these proteins were identified as triose phosphate isomerase (TPI), beta-enolase, and electron transfer flavoprotein-ubiquinone oxidoreductase (ETF-QO). TPI and enolase are key enzymes in the glycolytic pathway, and ETF-QO serves as the transporter for electrons derived from a variety of oxidative processes to the mitochondria respiratory chain. Cardiac enolase activity in ADR-treated mice was reduced by 25%, whereas the cardiac TPI activity remained unchanged. Oxidation of purified enolase or TPI via Fenton chemistry led to a 17 or 23% loss of activity, respectively, confirming that a loss of activity was the consequence of oxidation. The observation that these cardiac enzymes involved in energy production are more oxidized resulting from ADR treatment indicates that the bioenergetic pathway is an important target in ADR-initiated oxidative stress.

Two-dimensional gel electrophoresis as tool for proteomics studies in combination with protein identification by mass spectrometry

The proteome analysis by 2-DE is one of the most potent methods of analyzing the complete proteome of cells, cell lines, organs and tissues in proteomics studies. It allows a fast overview of changes in cell processes by analysis of the entire protein extracts in any biological and medical research projects. New instrumentation and advanced technologies provide proteomics studies in a wide variety of biological and biomedical questions. Proteomics work is being applied to study antibiotics-resistant strains and human tissues of various brain, lung, and heart diseases. It cumulated in the identification of antigens for the design of new vaccines. These advances in proteomics have been possible through the development of advanced high-resolution 2-DE systems allowing resolution of up to 10 000 protein spots of entire cell lysates in combination with protein identification by new highly sensitive mass spectrometric techniques. The present technological achievements are suited for a high throughput screening of different cell situations. Proteomics may be used to investigate the health effects of radiation and electromagnetic field to clarify possible dangerous alterations in human beings.

A self-contained polymeric 2-DE chip system for rapid and easy analysis

We developed a polymeric 2-DE chip system. The chip consisted of an IEF region, an SDS-PAGE region, a valveless connection port, and a sample introduction port. A "junction structure" as a valveless connection port, which allowed separating and connecting the first- and second-dimensional gels, was fabricated between their regions. A "solution inlet" as a sample introduction port was fabricated to perform the liquid and sample introductions without solution leakage. Simultaneous sample monitoring was performed using the on-chip detection system. The performances of the system were demonstrated using commercially available proteins as a standard specimen and tissue-extracted proteins as the real samples. All procedures were employed without any movement of relocation part. This new 2-D separation system realized improved labor-intensive operations and a reduced experimental time.

Pharmacogenomics and cardiovascular drugs: need for integrated biological system with phenotypes and proteomic markers

Personalized medicine is based on a better knowledge of biological variability, considering the important part due to genetics. When trying to identify involved genes and their products in differential cardiovascular drug responses, a five-step strategy is to be followed: 1) Pharmacokinetic-related genes and phenotypes (2) Pharmacodynamic targets, genes and products (3) Cardiovascular diseases and risks depending on specific or large metabolic cycles (4) Physiological variations of previously identified genes and proteins (5) Environment influences on them. After summarizing the most well-known genes involved in drug metabolism, we will take as example of drugs, the statins, considered as very important drugs from a Public-Health standpoint, but also for economical reasons. These drugs respond differently in human depending on multiple polymorphisms. We will give examples with common ApoE polymorphisms influencing the hypolipemic effects of statins. These drugs also have pleiotropic effects and decrease inflammatory markers. This illustrates the need to separate clinical diseases phenotypes in specific metabolic pathways, which could propose other classifications, of diseases and related genes. Hypertension is also a good example of clinical phenotype which should be followed after various therapeutic approaches by genes polymorphisms and proteins markers. Gene products are under clear environmental expression variations such as age, body mass index and obesity, alcohol, tobacco and dietary interventions which are the first therapeutical actions taken in cardiovascular diseases. But at each of the five steps, within a pharmacoproteomic strategy, we also need to use available information from peptides, proteins and metabolites, which usually are the gene products. A profiling approach, i.e., dealing with genomics, but now also with proteomics, is to be used. In conclusion, the profiling, as well as the large amount of data, will more than before render necessary an organized interpretation of DNA, RNA as well as proteins variations, both at individual and population level.

Proteomic studies of human and other vertebrate muscle proteins

This review summarizes results of some systemic studies of muscle proteins of humans and some other vertebrates. The studies, started after introduction of two-dimensional gel electrophoresis of O'Farrell, were significantly extended during development of proteomics, a special branch of functional genomics. Special attention is paid to analysis of characteristic features of strategy for practical realization of the systemic approach during three main stages of these studies: pre-genomic, genomic (with organizational registration of proteomics), and post-genomic characterized by active use of structural genomics data. Proteomic technologies play an important role in detection of changes in isoforms of various muscle proteins (myosins, troponins, etc.). These changes possibly reflecting tissue specificity of gene expression may underline functional state of muscle tissues under normal and pathological conditions, and such proteomic analysis is now used in various fields of medicine.

The use of proteomics for the assessment of clinical samples in research

Proteomics, the analysis of expressed proteins, has been an important developing area of research for the past two decades [Anderson, NG, Anderson, NL. Twenty years of two-dimensional electrophoresis: past, present and future. Electrophoresis 1996;17:443-453]. Advances in technology have led to a rapid increase in applications to a wide range of samples; from initial experiments using cell lines, more complex tissues and biological fluids are now being assessed to establish changes in protein expression. A primary aim of clinical proteomics is the identification of biomarkers for diagnosis and therapeutic intervention of disease, by comparing the proteomic profiles of control and disease, and differing physiological states. This expansion into clinical samples has not been without difficulties owing to the complexity and dynamic range in plasma and human tissues including tissue biopsies. The most widely used techniques for analysis of clinical samples are surface-enhanced laser desorption/ionisation mass spectrometry (SELDI-MS) and 2-dimensional gel electrophoresis (2-DE) coupled to matrix-assisted laser desorption ionisation [Person, MD, Monks, TJ, Lau, SS. An integrated approach to identifying chemically induced posttranslational modifications using comparative MALDI-MS and targeted HPLC-ESI-MS/MS. Chem. Res. Toxicol. 2003;16:598-608]-mass spectroscopy (MALDI-MS). This review aims to summarise the findings of studies that have used proteomic research methods to analyse samples from clinical studies and to assess the impact that proteomic techniques have had in assessing clinical samples.

Iterative data analysis is the key for exhaustive analysis of peptide mass fingerprints from proteins separated by two-dimensional electrophoresis

Peptide mass fingerprinting (PMF) is a powerful tool for identification of proteins separated by two-dimensional electrophoresis (2-DE). With the increase in sensitivity of peptide mass determination it becomes obvious that even spots looking well separated on a 2-DE gel may consist of several proteins. As a result the number of mass peaks in PMFs increased dramatically leaving many unassigned after a first database search. A number of these are caused by experiment-specific contaminants or by neighbor spots, as well as by additional proteins or post-translational modifications. To understand the complete protein composition of a spot we suggest an iterative procedure based on large numbers of PMFs, exemplified by PMFs of 480 Helicobacter pylori protein spots. Three key iterations were applied: (1) Elimination of contaminant mass peaks determined by MS-Screener (a software developed for this purpose) followed by reanalysis; (2) neighbor spot mass peak determination by cluster analysis, elimination from the peak list and repeated search; (3) re-evaluation of contaminant peaks. The quality of the identification was improved and spots previously unidentified were assigned to proteins. Eight additional spots were identified with this procedure, increasing the total number of identified spots to 455.

[Proteomics and cardiovascular disease]

The description of the human genome has opened new venues for the study and understanding of pathophysiological phenomena. In the 20th century, individual cell components were studied. The 21st century began with a global analysis of cell components. Thanks to the development of new technologies such as DNA chips, or two-dimensional electrophoresis, we can now study the expression of thousands of genes, or the proteins they encode, in a few hours. Genomics has opened the way for proteomics. Improved knowledge of genes does not provide information about cell functions, because any cell expresses all genes simultaneously. Instead, there is selective gene expression depending on the cell type and the stimuli to which it is exposed. The result of this is the proteome, an ensemble of proteins that are responsible for cell functions at any given moment, which are the object of the study of proteomics. The description of the proteome of cardiac cells has begun and some new proteins have been found to be dysregulated in different cardiomyopathies. These proteins are involved either in energy production or in the stress response, or belong to the cell proteasome or cytoskeleton. They may be potential risk markers or new therapeutic targets in the future. In this sense, chemogenomics is a new methodology for the development of new drugs using genomic and proteomic data.

An iterative calibration method with prediction of post-translational modifications for the construction of a two-dimensional electrophoresis database of mouse mammary gland proteins

Protein databases serve as general reference resources providing an orientation on two-dimensional electrophoresis (2-DE) patterns of interest. The intention behind constructing a 2-DE database of the water soluble proteins from wild-type mouse mammary gland tissue was to create a reference before going on to investigate cancer-associated protein variations. This database shall be deemed to be a model system for mouse tissue, which is open for transgenic or knockout experiments. Proteins were separated and characterized in terms of their molecular weight (M(r)) and isoelectric point (pI) by high resolution 2-DE. The proteins were identified using prevalent proteomics methods. One method was peptide mass fingerprinting by matrix-assisted laser desorption/ionization-mass spectrometry. Another method was N-terminal sequencing by Edman degradation. By N-terminal sequencing M(r) and pI values were specified more accurately and so the calibration of the master gel was obtained more systematically and exactly. This permits the prediction of possible post-translational modifications of some proteins. The mouse mammary gland 2-DE protein database created presently contains 66 identified protein spots, which are clickable on the gel pattern. This relational database is accessible on the WWW under the URL: http://www.mpiib-berlin.mpg.de/2D-PAGE.

Separation and identification of human heart proteins

Heart failure is not a uniform disease entity, but a syndrome with various causes, including hypertension, ischemia and congenital heart disease, cardiomyopathy, myocarditis and intoxication. During the recent years a number of molecular and cellular alterations have been identified in the diseased heart, but a direct causative link between these changes and functional impairment, medical responsiveness, progression of the disease and the patients' outcome remains to be established. After an accumulation of large amounts of DNA sequence data in genomic projects, scientists have now turned their attention to the central executors of all programs of life, the proteins. In complementation of the genomic initiatives, proteomics based approaches have lined up not only for large-scale identification of proteins and their post-translational modifications, but also to study the function of protein complexes, protein-protein interactions and regulatory and signalling cascades in the cellular network. In concert with genomic data functional proteomics will hold the key for a better understanding and therapeutical management of cardiovascular diseases in the future.

Detection of TOAD-64 in adult rat brain as revealed by two-dimensional protein gel electrophoresis followed by MALDI mass spectrometry possible modulatory effect of chronic haloperidol treatment

The molecular mechanisms by which antipsychotic effects are achieved remain largely elusive. Possible mechanisms include the modulation of nerve cell gene expression. The antipsychotic drug haloperidol was administered orally (1.6 mg/kg) to adult rats for 3 weeks. Protein patterns in striata and forebrains were studied by two-dimensional gel electrophoresis (2-DE). One differentially regulated protein spot was identified by matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS) after trypsin digest. Turned on after devision-64 kD (TOAD-64), the identified protein, was present in all gels and, in addition, was up-regulated in the striata but not in the forebrains of the haloperidol-treated animals by 43%. It is concluded that TOAD-64, typically regarded as a marker for commitment to neuronal differentiation during fetal development, also plays a role in adult rat forebrain and striatum and that its concentration is possibly modulated by haloperidol treatment.

Intracellular energetic units in red muscle cells

The kinetics of regulation of mitochondrial respiration by endogenous and exogenous ADP in muscle cells in situ was studied in skinned cardiac and skeletal muscle fibres. Endogenous ADP production was initiated by addition of MgATP; under these conditions the respiration rate and ADP concentration in the medium were dependent on the calcium concentration, and 70-80% of maximal rate of respiration was achieved at ADP concentration below 20 microM in the medium. In contrast, when exogenous ADP was added, maximal respiration rate was observed only at millimolar concentrations. An exogenous ADP-consuming system consisting of pyruvate kinase (PK; 20-40 units/ml) and phosphoenolpyruvate (PEP; 5 mM), totally suppressed respiration activated by exogenous ADP, but the respiration maintained by endogenous ADP was not suppressed by more than 20-40%. Creatine (20 mM) further activated respiration in the presence of ATP and PK+PEP. Short treatment with trypsin (50-500 nM for 5 min) decreased the apparent K(m) for exogenous ADP from 300-350 microM to 50-60 microM, increased inhibition of respiration by PK+PEP system up to 70-80%, with no changes in MgATPase activity and maximal respiration rates. Electron-microscopic observations showed detachment of mitochondria and disordering of the regular structure of the sarcomere after trypsin treatment. Two-dimensional electrophoresis revealed a group of at least seven low-molecular-mass proteins in cardiac skinned fibres which were very sensitive to trypsin and not present in glycolytic fibres, which have low apparent K(m) for exogenous ADP. It is concluded that, in oxidative muscle cells, mitochondria are incorporated into functional complexes ('intracellular energetic units') with adjacent ADP-producing systems in myofibrils and in sarcoplasmic reticulum, probably due to specific interaction with cytoskeletal elements responsible for mitochondrial distribution in the cell. It is suggested that these complexes represent the basic pattern of organization of muscle-cell energy metabolism.

Cardiovascular proteomics: evolution and potential

The development of proteomics is a timely one for cardiovascular research. Analyses at the organ, subcellular, and molecular levels have revealed dynamic, complex, and subtle intracellular processes associated with heart and vascular disease. The power and flexibility of proteomic analyses, which facilitate protein separation, identification, and characterization, should hasten our understanding of these processes at the protein level. Properly applied, proteomics provides researchers with cellular protein "inventories" at specific moments in time, making it ideal for documenting protein modification due to a particular disease, condition, or treatment. This is accomplished through the establishment of species- and tissue-specific protein databases, providing a foundation for subsequent proteomic studies. Evolution of proteomic techniques has permitted more thorough investigation into molecular mechanisms underlying cardiovascular disease, facilitating identification not only of modified proteins but also of the nature of their modification. Continued development should lead to functional proteomic studies, in which identification of protein modification, in conjunction with functional data from established biochemical and physiological methods, has the ability to further our understanding of the interplay between proteome change and cardiovascular disease.

Comparative proteome analysis of Helicobacter pylori

Helicobacter pylori, the causative agent of gastritis, ulcer and stomach carcinoma, infects approximately half of the worlds population. After sequencing the complete genome of two strains, 26695 and J99, we have approached the demanding task of investigating the functional part of the genetic information containing macromolecules, the proteome. The proteins of three strains of H. pylori, 26695 and J99, and a prominent strain used in animal models SS1, were separated by a high-resolution two-dimensional electrophoresis technique with a resolution power of 5000 protein spots. Up to 1800 protein species were separated from H. pylori which had been cultivated for 5 days on agar plates. Using matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) peptide mass fingerprinting we have identified 152 proteins, including nine known virulence factors and 28 antigens. The three strains investigated had only a few protein spots in common. We observe that proteins with an amino acid exchange resulting in a net change of only one charge are shifted in the two-dimensional electrophoresis (2-DE) pattern. The expression of 27 predicted conserved hypothetical open reading frames (ORFs) and six unknown ORFs were confirmed. The growth conditions of the bacteria were shown to have an effect on the presence of certain proteins. A preliminary immunoblotting study using human sera revealed that this approach is ideal for identifying proteins of diagnostic or therapeutic value. H. pylori 2-DE patterns with their identified protein species were added to the dynamic 2D-PAGE database (http://www.mpiib-berlin.mpg.de/2D-PAGE/). This basic knowledge of the proteome in the public domain will be an effective instrument for the identification of new virulence or pathogenic factors, and antigens of potentially diagnostic or curative value against H. pylori.

Comparison of two-dimensional electrophoresis patterns of heat shock protein Hsp27 species in normal and cardiomyopathic hearts

Heat shock protein Hsp27 occurs in a complex pattern in human myocardial tissue. Normal and failing explanted human heart from patients with dilated cardiomyopathy (DCM) or ischemic heart failure (IHF), respectively, were analyzed by high resolution two-dimensional electrophoresis (23x30 cm) and Hsp27 immunostaining. Twelve Hsp27 spots in DCM samples were significantly altered in intensity and ten of these were significantly changed in IHF. Four spots (h1, h2, h4, h5) in DCM samples and three spots (h2, h4, h5) in IHF at a molecular mass of 28 kDa were decreased in intensity. In this study, investigating left ventricles of human myocardium, spot h4 was only detected in normal heart samples. On the other hand, spots with a lower molecular mass of 27 kDa (h14, h15, h17, h20, h21) and 22-23 kDa (46, h47, h50) increased in intensity in failing hearts, suggesting that some form of Hsp27 degradation occurs during heart failure.

Proteomics in human disease: cancer, heart and infectious diseases

In recent years, genomics has increased the understanding of many diseases. Proteomics is a rapidly growing research area that encompasses both genetic and environmental factors. The protein composition represents the functional status of a biological compartment. The five approaches presented here resulted in the detection of disease-associated proteins. Calgranulin B was upregulated in colorectal cancer, and hepatoma-derived aldose reductase-like protein was reexpressed in a rat model during hepatocarcinogenesis. In these two investigations, attention was focused on one protein, obviously differing in amount, directly after two-dimensional electrophoresis (2-DE). Additional methods, such as enzyme activity measurements and immunohistochemistry, confirmed the disease association of the two candidates resulting from 2-DE subtractive analysis. The following three investigations take advantage of the holistic potential of the 2-DE approach. The comparison of 2-DE patterns from dilated cardiomyopathy patients with those of controls revealed 25 statistically significant intensity differences, from which 12 were identified by amino acid analysis, Edman degradation or matrix-assisted laser desorption/ionization-mass spectrometry (MALDI-MS). A human myocardial 2-DE database was constructed, containing 3300 protein spots and 150 identified protein species. The number of identified proteins was limited by the capacity of our group, rather than by the principle of feasibility. Another field where proteomics proves to be a valuable tool in identifying proteins of importance for diagnosis is proteome analysis of pathogenic microorganisms such as Borrelia burgdorferi (Lyme disease) and Toxoplasma gondii (toxoplasmosis). Sera from patients with early or late symptoms of Lyme borreliosis contained antibodies of various classes against about 80 antigens each, containing the already described antigens OspA, B and C, flagellin, p83/100, and p39. Similarly, antibody reactivity to seven different marker antigens of T. gondii allowed differentiation between acute and latent toxoplasmosis, an important diagnostic tool in both pregnancy and immunosuppressed patients.

Comparative proteome analysis of Mycobacterium tuberculosis and Mycobacterium bovis BCG strains: towards functional genomics of microbial pathogens

In 1993, the WHO declared tuberculosis a global emergency on the basis that there are 8 million new cases per year. The complete genome of the strain H37Rv of the causative microorganism, Mycobacterium tuberculosis, comprising 3924 genes has been sequenced. We compared the proteomes of two non-virulent vaccine strains of M. bovis BCG (Chicago and Copenhagen) with two virulent strains of M. tuberculosis (H37Rv and Erdman) to identify protein candidates of value for the development of vaccines, diagnostics and therapeutics. The mycobacterial strains were analysed by two-dimensional electrophoresis (2-DE) combining non-equilibrium pH gradient electrophoresis (NEPHGE) with SDS-PAGE. Distinct and characteristic proteins were identified by mass spectrometry and introduced into a dynamic 2-DE database (http://www.mpiib-berlin.mpg.de/2D-PAGE). Silver-stained 2-DE patterns of mycobacterial cell proteins or culture supernatants contained 1800 or 800 spots, respectively, from which 263 were identified. Of these, 54 belong to the culture supernatant. Sixteen and 25 proteins differing in intensity or position between M. tuberculosis H37Rv and Erdman, and H37Rv and M. bovis BCG Chicago, respectively, were identified and categorized into protein classes. It is to be hoped that the availability of the mycobacterial proteome will facilitate the design of novel measures for prevention and therapy of one of the great health threats, tuberculosis.

A dynamic two-dimensional polyacrylamide gel electrophoresis database: the mycobacterial proteome via Internet

Proteome analysis by two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) and mass spectrometry, in combination with protein chemical methods, is a powerful approach for the analysis of the protein composition of complex biological samples. Data organization is imperative for efficient handling of the vast amount of information generated. Thus we have constructed a 2-D PAGE database to store and compare protein patterns of cell-associated and culture-supernatant proteins of different mycobacterial strains. In accordance with the guidelines for federated 2-DE databases, we developed a program that generates a dynamic 2-D PAGE database for the World-Wide-Web to organise and publish, via the internet, our results from proteome analysis of different Mycobacterium tuberculosis as well as Mycobacterium bovis BCG strains. The uniform resource locator for the database is http://www.mpiib-berlin.mpg.de/2D-PAGE and can be read with a Java compatible browser. The interactive hypertext markup language documents displayed are generated dynamically in each individual session from a rational data file, a 2-D gel image file and a map file describing the protein spots as polygons. The program consists of common gateway interface scripts written in PERL, minimizing the administrative workload of the database. Furthermore, the database facilitates not only interactive use, but also worldwide active participation of other scientific groups with their own data, requiring only minimal computer hardware and knowledge of information technology.

Proteomics in human disease: cancer, heart and infectious diseases

In recent years, genomics has increased the understanding of many diseases. Proteomics is a rapidly growing research area that encompasses both genetic and environmental factors. The protein composition represents the functional status of a biological compartment. The five approaches presented here resulted in the detection of disease-associated proteins. Calgranulin B was upregulated in colorectal cancer, and hepatoma-derived aldose reductase-like protein was reexpressed in a rat model during hepatocarcinogenesis. In these two investigations, attention was focused on one protein, obviously differing in amount, directly after two-dimensional electrophoresis (2-DE). Additional methods, such as enzyme activity measurements and immunohistochemistry, confirmed the disease association of the two candidates resulting from 2-DE subtractive analysis. The following three investigations take advantage of the holistic potential of the 2-DE approach. The comparison of 2-DE patterns from dilated cardiomyopathy patients with those of controls revealed 25 statistically significant intensity differences, from which 12 were identified by amino acid analysis, Edman degradation or matrix-assisted laser desorption/ionization-mass spectrometry (MALDI-MS). A human myocardial 2-DE database was constructed, containing 3300 protein spots and 150 identified protein species. The number of identified proteins was limited by the capacity of our group, rather than by the principle of feasibility. Another field where proteomics proves to be a valuable tool in identifying proteins of importance for diagnosis is proteome analysis of pathogenic microorganisms such as Borrelia burgdorferi (Lyme disease) and Toxoplasma gondii (toxoplasmosis). Sera from patients with early or late symptoms of Lyme borreliosis contained antibodies of various classes against about 80 antigens each, containing the already described antigens OspA, B and C, flagellin, p83/100, and p39. Similarly, antibody reactivity to seven different marker antigens of T. gondii allowed differentiation between acute and latent toxoplasmosis, an important diagnostic tool in both pregnancy and immunosuppressed patients.

A two-dimensional electrophoresis database of rat heart proteins

More than 3000 myocardial protein species of Wistar Kyoto rat, an important animal model, were separated by high-resolution two-dimensional gel electrophoresis (2-DE) and characterized in terms of isoelectric point (pI) and molecular mass (Mr). Currently, the 2-DE database contains 64 identified proteins; forty-three were identified by peptide mass fingerprinting (PMF) using matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS), nine by exclusive comparison with other 2-DE heart protein databases, and in only 12 cases of 60 attempts N-terminal sequencing was successful. We used the Make2ddb software package downloaded from the ExPASy server for the construction of a rat myocardial 2-DE database. The Make2ddb package simplifies the creation of a new 2-DE database if the Melanie II software and a Sun workstation under Solaris are available. Our 2-DE database of rat heart proteins can be accessed at URL http://gelmatching.inf.fu-berlin.de/pleiss/2d.

Liquid chromatography and electrospray mass spectrometric mapping of peptides from human plasma filtrate

We present a multidimensional approach to map the composition of complex peptide mixtures obtained as crude extract from biological liquids by (1) cation exchange chromatography and (2) subsequent microbore reversed-phase liquid chromatography and electrospray mass spectrometry coupling (LC-MS). Human hemofiltrate is an equivalent to blood and is used to obtain peptide material in large quantities from patients with chronic renal failure. The upper exclusion limit of the filtration membranes used results in a protein-free filtrate containing peptides in a range up to 20 ku. Using this unique peptide source, several thousand peptides were detected and an LC-MS data base of circulating human peptides was created. The search for known peptides by their molecular mass is a reliable method to guide peptide purification.

Two-dimensional mapping and microsequencing of lysosomal proteins from human placenta

Lysosomes degrade a wide range of macromolecules to yield monomer products which are exported out of the lysosome by a series of transporters. In addition, lysosomes perform a range of other functions which are cell or tissue specific. In order to gain insight into the tissue specific role of lysosomes, carrier-ampholyte two-dimensional electrophoresis (2-DE) was used in combination with N-terminal sequencing to identify the major proteins present in both the membrane and luminal space of placental lysosomes. From the 45 N-terminal peptide sequences generated, 14 luminal and five membrane proteins were identified while three other sequences were novel. The sequenced proteins were a mixture of lysosomal and non-lysosomal proteins. The lysosomal proteins consisted of gamma-interferon-inducible protein (IP-30), Saposin D, cathepsins B and D, beta-hexosaminidase, palmitoyl protein thioesterase, alpha-glucosidase, and LAMP-1. The non-lysosomal proteins were serum albumin, serotransferrin, haemoglobin gamma G chain, alpha-1-antitrypsin, placental lactogen, endoplasmin, peptide binding protein 74, p60 lymphocyte protein, p450 side chain cleavage enzyme and placental alkaline phosphatase. The 2-DE maps obtained in this study are the first to identify the major proteins in both the lumen and membrane of placental lysosomes through sequence analysis, and thus provide the basis upon which to build a complete 2-DE database of the lysosome. Furthermore, the identities of the proteins sequenced from the placental lysosomes suggest a role for lysosomes in the transport of nutrients across the trophoblastic layer.

Effects of renovascular hypertension on myocardial protein patterns: analysis by computer-assisted two-dimensional gel electrophoresis

Hypertensive heart disease caused by renovascular hypertension reflects the response of the heart to an increased afterload and neurohormonal stimulation. We hypothesized that in this condition the composition of the myocardial proteins of rats was altered. To identify yet unknown quantitative and qualitative differences in myocardial proteins in renovascular hypertensive heart disease, we analyzed protein patterns by computer-assisted two-dimensional polyacrylamide large gel electrophoresis. Renovascular hypertension was induced by placing a silver clip on the left renal artery in 9-week-old rat siblings. Sham-operated animals served as controls. Systolic blood pressure (197 +/- 19 mm Hg) and heart/body weight ratios (0.36 +/- 0.04%) were significantly increased in the hypertensive animals. Twenty protein patterns from the left ventricle of five hypertensive and five control rats were compared. The molecular mass and isoelectric point (pI) of proteins spots ranging from 13 to 100 kDa and from 4.5 to 8.5, respectively, were determined using marker proteins. In total, 761 +/- 88 protein spots were resolved in all twenty gels. For the quantitative data analysis a univariate (Mann-Whitney test) as well as a multivariate statistical approach (correspondence analysis) were applied. Only one myocardial protein spot (molecular mass = 41.3 kDa; pI = 6.3) was decreased by more than twofold (p < 0.05) in renovascular hypertension. The vast majority of spots did not indicate a significant alteration of intensity. Left ventricular hypertrophy in early renovascular hypertension induces a form of myocardial hypertrophy that conserves the naturally occurring protein expression pattern.

Cardiac protein abnormalities in dilated cardiomyopathy detected by two-dimensional polyacrylamide gel electrophoresis

The aim of the investigation was to determine whether there are specific global quantitative and qualitative changes in protein expression in heart tissue from patients with dilated cardiomyopathy (DCM) compared with ischaemic heart disease and undiseased tissue. Two-dimensional (2-D) polyacrylamide gel electrophoresis and computer analysis was used to study protein alteration in DCM biopsy material (n=28) compared with donor heart biopsy samples (n=9) and explanted hearts from individuals suffering from ischaemic heart disease (IHD; n = 21). A total of 88 proteins displayed decreased abundance in DCM versus IHD material while five proteins had elevated levels in the DCM group (p<0.01). The most prominent changes occurred in the contractile protein myosin light chain 2 and in a group of proteins identified as desmin. These changes do not appear to be artefactual degradation events occurring during sample processing. These proteins are not apparent in electrophoretic separations of vascular tissue or cultured endothelial cells, mesothelial cells or cardiac fibroblasts, which are clearly distinguishable from the 2-D protein patterns of whole heart and of isolated cardiac myocytes and do not appear to reflect variations in the cellular composition of biopsy samples. The different protein patterns observed in cardiomyopathy showed no obvious relationship with New York Heart Association (NYHA) functional class or haemodynamic parameters. The study has demonstrated significant alterations in quantitative protein expression in the DCM heart which would have serious implications for myocyte function. These changes might be explained by altered protease activity in DCM which could exacerbate contractile dysfunction in the failing heart.

Development of a two-dimensional gel electrophoresis database of human lysosomal proteins

Two-dimensional gel electrophoresis databases have been generated for a range of tissue cell and fluid types, from a number of species. A major difficulty in the development of such databases is the large number of proteins present in even a single cell type (> 10,000) and the low levels of many of these proteins. One approach to overcome these difficulties is to fractionate the cell into its organelles and generate individual databases for each subcellular component. This has the added advantage of assigning a cellular location to each protein identified. Here we report the development of a two-dimensional gel electrophoresis database of lysosomal proteins.

Peptide mass fingerprint sequence coverage from differently stained proteins on two-dimensional electrophoresis patterns by matrix assisted laser desorption/ionization-mass spectrometry (MALDI-MS)

Identification of proteins separated by two-dimensional electrophoresis (2-DE) is a necessary task to overcome the purely descriptive character of 2-DE and a prerequisite to the construction of 2-DE databases in proteome projects. Matrix assisted laser desorption/ionization-mass spectrometry (MALDI-MS) has a sensitivity for peptide detection in the lower fmol range, which should be sufficient for an analysis of even weakly silver-stained protein spots by peptide mass fingerprinting. Unfortunately, proteins are modified by the silver staining procedure, leading to low sequence coverage. Omission of glutaraldehyde increased the sequence coverage, but this improved sequence coverage is still clearly below the sequence coverage starting with Coomassie Brilliant Blue (CBB) R-250-stained spots. Other factors additionally seem to modify proteins during silver staining. By decreasing the protein amount, the advantage of very sensitive detection on the gel is lost during identification, because the resulting low sequence coverage is not sufficient for secure identification. Low-quantity proteins can be identified better starting with CBB G-250 or Zn-imidazol-stained proteins. In contrast, for high-quantity CBB R-250-stained spots, a sequence coverage of up to 90% can be obtained by using only one cleaving enzyme, and up to 80% was reached for medium-quantity spots after combination of tryptic digest with Asp-N- and Glu-C digest.

An integrated approach to proteome analysis: identification of proteins associated with cardiac hypertrophy

Hypertrophy of cardiac myocytes is a primary response of the heart to overload, and is an independent predictor of heart failure and death. Distinct cellular phenotypes are associated with hypertrophy resulting from different causes. These phenotypes have been described by others at the molecular level by analysis of gene transcription patterns. An alternative approach is the analysis of large-scale protein expression patterns (the proteome) by two-dimensional polyacrylamide gel electrophoresis. Realization of this goal requires the ability to rigorously analyze complex 2D gel images, efficiently digest individual gel isolated proteins (especially those expressed at low levels), and analyze the resulting peptides with high sensitivity for rapid database searches. We have undertaken to improve the technology and experimental approaches to these challenges in order to effectively study a cell culture model for cardiac hypertrophy. The 2D gel patterns for cell lysates from multiple samples of cardiac myocytes with or without phenylephrine-induced hypertrophy were analyzed and spots which changed in abundance with statistical significance were located. Eleven such spots were identified using improved procedures for in-gel digestion of silver-stained proteins and high-sensitivity mass spectrometry. The incorporation of low levels of sodium dodecyl sulfate into the digestion buffer improved peptide recovery. The combination of matrix-assisted laser desorption mass spectrometry for initial measurements and capillary liquid chromatography-ion trap mass spectrometry for peptide sequence determination yielded efficient protein identification. The integration of 2D gel image analysis and routine identification of proteins present in gels at the subpicomole level represents a general model for proteome studies relating genomic sequence with protein expression patterns.

Two-dimensional electrophoretic analysis of myocardial proteins from lead-exposed rabbits

Despite reported adverse effects, the cardiovascular toxicity of lead remains controversial. The purpose of the present study was to determine if low-level subchronic exposure of rabbits to lead would produce detectable, concentration-dependent changes in myocardial proteins. Lead was administered to male Dutch Belted rabbits as a lead acetate solution, adjusted weekly to achieve and maintain the target blood lead levels of 0, 20, 40, and 80 microg/dL for 15 weeks. Lead exposures did not affect heart or body weights. Myocardial concentrations of lead at sacrifice were 58+/-25, 69+/-23, 102+/-62, and 105+/-37 ng/g. Of 808 individual proteins resolved by two-dimensional electrophoresis (2-DE) in ventricular homogenates, 162 had coefficients of variation < 20%. A number of proteins were tentatively identified based on coordinate positions homologous to other established 2-DE patterns. Despite variable expression of some protein spots, none of the protein abundances analyzed were found to be significantly altered (P < 0.001) by the lead exposures studied. Therefore results show no detectable effect of a low-body burden of lead on major myocardial proteins of the rabbit.

Identification and characterization of heat shock protein 27 protein species in human myocardial two-dimensional electrophoresis patterns

Immunostaining of heat shock protein 27 (Hsp27) protein species on two-dimensional electrophoresis (2-DE) gels with enhanced sensitivity yields 59 spots reacting with anti-Hsp27 antibodies. Recombinant Hsp27 exists in 2-DE as two major protein species which comigrate in the human myocardial pattern with Hsp27 spots C754 and D899 as defined in the heart high-performance 2-DE database (http://www.mdc-berlin.de/emu/heart/). Preparative electrophoresis of human myocardial proteins and analysis of the enriched mass range 20-30 kDa by 2-DE revealed eight protein spots (C438, C582, C658, C697, C754, C595, C750) from the human myocardial database and a new spot not previously detected on silver-stained gels. These spots were identified as Hsp27 protein species by enzymatic in-gel-digestion and analysis by matrix assisted laser desorption-ionization (MALDI) peptide mass fingerprinting and, in part, MALDI-post source decay sequencing of single fragments. Possible post-translational modifications were investigated: immunostaining tests with anti-phospho-serine/-threonine/-tyrosine antibodies, although positive for other myocardial proteins, were negative for presumed Hsp27 protein species; likewise, periodate-glycostaining assays and biotinylation screening did not detect modifications in the investigated Hsp27 protein species.

Large-scale identification of proteins of Haemophilus influenzae by amino acid composition analysis

Two-dimensional protein maps of microorganisms are useful tools for elucidation and detection of target proteins, a process essential in the development of new pharmaceutical products. We applied amino acid composition analysis, following separation by two-dimensional gel electrophoresis, for large-scale identification of proteins of Haemophilus influenzae. H. influenzae is a bacterium of pharmaceutical interest of which the entire genome, comprising approximately 1700 open reading frames, has been sequenced. For amino acid analysis, we used both precolumn derivatization of amino acids followed by reversed-phase chromatography of the derivatized residues and post-column derivatization of the residues previously separated on an ion exchanger. The composition analyses derived from both methods allowed the identification of 110 protein spots. The proteins were identified using the AACompldent software on the ExPASy server accessible via the World Wide Web with a success rate of 52%. In some cases, introduction of the analysis data of 12 residues was sufficient for a correct identification. Proteins which contained an unusually high percentage of one residue could be unambiguously identified. Amino acid composition analysis proved to be an error-robust, efficient method for protein identification. The method can be practically established in every biochemical laboratory and, complementary to mass spectrometry, represents an important analytical tool for the mapping of the proteomes of organisms of interest.

Overexpression of calcium-binding protein calgranulin B in colonic mucosal diseases

Subtractive two-dimensional gel electrophoresis (2-DE) has been used for the study of the protein patterns of the normal colonic mucosa and the specimens collected from patients diagnosed for inflammatory bowel disease (IBD), colonic polyps and colorectal cancer. We found a 13 kDa protein that was detected in five of seven adenomas and in 13 of 15 colorectal carcinomas while it was absent or only slightly expressed in normal colonic mucosa. Furthermore, this protein occurred in all specimens collected from patients suffering from IBD and its quantity reflected the increased severity of inflammation. The combination of microsequencing and mass spectrometry led to the identification of the 13 kDa spot as calgranulin B. Our results indicate that the production of calgranulin B is unregulated in inflammatory, preneoplastic and neoplastic lesions of colonic mucosa.

Proteome research: complementarity and limitations with respect to the RNA and DNA worlds

A methodological overview of proteome analysis is provided along with details of efforts to achieve high-throughput screening (HTS) of protein samples derived from two-dimensional electrophoresis gels. For both previously sequenced organisms and those lacking significant DNA sequence information, mass spectrometry has a key role to play in achieving HTS. Prototype robotics designed to conduct appropriate chemistries and deliver 700-1000 protein (genes) per day to batteries of mass spectrometers or liquid chromatography (LC)-based analyses are well advanced, as are efforts to produce high density gridded arrays containing > 1000 proteins on a single matrix assisted laser desorption ionisation/time-of-flight (MALDI-TOF) sample stage. High sensitivity HTS of proteins is proposed by employing principally mass spectrometry in an hierarchical manner: (i) MALDI-TOF-mass spectrometry (MS) on at least 1000 proteins per day; (ii) electrospray ionisation (ESI)/MS/MS for analysis of peptides with respect to predicted fragmentation patterns or by sequence tagging; and (iii) ESI/MS/MS for peptide sequencing. Genomic sequences when complemented with information derived from hybridisation assays and proteome analysis may herald in a new era of holistic cellular biology. The current preoccupation with the absolute quantity of gene-product (RNA and/or protein) should move backstage with respect to more molecularly relevant parameters, such as: molecular half-life; synthesis rate; functional competence (presence or absence of mutations); reaction kinetics; the influence of individual gene-products on biochemical flux; the influence of the environment, cell-cycle, stress and disease on gene-products; and the collective roles of multigenic and epigenetic phenomena governing cellular processes. Proteome analysis is demonstrated as being capable of proceeding independently of DNA sequence information and aiding in genomic annotation. Its ability to confirm the existence of gene-products predicted from DNA sequence is a major contribution to genomic science. The workings of software engines necessary to achieve large-scale proteome analysis are outlined, along with trends towards miniaturisation, analyte concentration and protein detection independent of staining technologies. A challenge for proteome analysis into the future will be to reduce its dependence on two-dimensional (2-D) gel electrophoresis as the preferred method of separating complex mixtures of cellular proteins. Nonetheless, proteome analysis already represents a means of efficiently complementing differential display, high density expression arrays, expressed sequence tags, direct or subtractive hybridisation, chromosomal linkage studies and nucleic acid sequencing as a problem solving tool in molecular biology.

Mapping of peptides and protein fragments in human urine using liquid chromatography-mass spectrometry

A method for the mapping of peptide mixtures, heterogeneous with respect to the concentration and the size of individual peptides, was established with the aim of obtaining a comprehensive analysis of human urine peptides. Peptide extraction and fractionation were optimized to achieve a two-step analysis, using reversed-phase and ion-exchange chromatography. Highly sensitive detection of peptides was performed by coupling microbore HPLC with electrospray mass spectrometry (ESI-MS). Peptides such as urodilatin, angiotensin and fragments of psoriasin, granulin and uromodulin were isolated and sequenced. The procedure presented here is a tool for the analysis of complex peptide mixtures from human urine.

New Rhizobium leguminosarum flavonoid-induced proteins revealed by proteome analysis of differentially displayed proteins

Proteome analysis was used to establish the first two-dimensional protein map of Rhizobium. R. leguminosarum bv. trifolii strain ANU843 was grown in defined medium in the presence and absence of the flavonoid 7,4'-dihydroxyflavone. Over 1,700 constitutive proteins were resolved, representing about 30% of the estimated genomic output. Proteome analysis of flavonoid-treated cells was done to reveal differentially displayed proteins. The results showed that while the global expression pattern of proteins was largely unaltered by the treatment, four inducible proteins were observed. The four inducible proteins and 20 constitutively expressed proteins were subjected to sequence analysis to provide internal standards for the construction of a two-dimensional Rhizobium protein data base. The identity of 12 proteins, including NodE and NodB, was established. NodE was present throughout the growth of the cells but was diminished in amount in stationary phase cells whereas NodB was not detected in the later stages of growth. Two of the induced proteins sequenced did not match any known nodulation gene product, with one of these being present in mid-late log and stationary phase cells and possessing four consecutive His residues at the N-terminal sequencing was successful with 100 to 200 fmol of protein. Proteome analysis provides a sensitive new tool to examine plant-microbe interactions.

Dilated cardiomyopathy-associated proteins and their presentation in a WWW-accessible two-dimensional gel protein database

High resolution two-dimensional electrophoresis (2-DE) and computer-assisted image analysis were used to screen 13 patients suffering from dilated cardiomyopathy (DCM) versus 15 control patients for quantitative and qualitative differences in their myocardial protein expression. Right atrial tissue samples were obtained from end-stage failing explanted hearts and control hearts. Fifty-two spots differed significantly in average intensity between the DCM and the control groups. Myosin light chain 2, ventricular (MLC2) and heat shock protein HSP 27 were identified by protein microsequencing and gel map comparison with other databases. These proteins were found to be characteristic protein markers for DCM in the right atrium. In DCM patients, the spot intensity (protein abundance) of MLC2 is increased to 336% and HSP 27 is decreased to 59%, compared to the control group. The HEART-2DPAGE, a World Wide Web-accessible 2-DE database, was used and extended for the presentation of these disease-associated proteins. Retrievable via Internet we present a list of disease-associated proteins, their altered level of expression in DCM, and their position on a right atrial protein pattern. The accession number to protein sequence databases confers a connection to databases like SWISS-PROT to obtain a detailed functional and structural description of disease-associated proteins. New DCM-associated proteins are detected and their presentation in a 2-DE gel protein database is described.