Clinical and Biomedical Applications of Proteomics. In: Wilkins MR, Williams KL, Appel RD, Hochstrasser DF, editors. Proteome Research: New Frontiers in Functional Genomics. Berlin: Springer Berlin Heidelberg; 1997. pp. 187-219. [DOI: 10.1007/978-3-662-03493-4_8]

Proteomics-driven progress in neurodegeneration research

Proteomics technologies have been widely used in the investigation of neurodegenerative and psychiatric disorders, and in particular in the detection of differences between healthy individuals and patients suffering from such diseases. Thus, brain and cerebrospinal fluid (CSF) samples from patients with Alzheimer's disease, Down syndrome, Pick's disease, Parkinson's disease, schizophrenia, and other disorders as well as brain and CSF from animals serving as models of neurological disorders have been analyzed by proteomics. 2-DE followed by MALDI-TOF-MS has been mainly applied as this proteomics approach provides the possibility of convenient quantification of protein levels and detection of post-translational modifications. About 330 unique proteins with deranged levels and modifications have been detected by proteomics approaches to be related to neurodegeneration and psychiatric disorders. They are mainly involved in metabolism pathways, cytoskeleton formation, signal transduction, guidance, detoxification, transport, and conformational changes. In this article, we provide a summary of the major contributions of proteomics technologies in the study of neurodegenerative and psychiatric diseases, in particular, in the detection of changes in protein levels and modifications related to these disorders.

ProteomeGRID: towards a high-throughput proteomics pipeline through opportunistic cluster image computing for two-dimensional gel electrophoresis

The quest for high-throughput proteomics has revealed a number of critical issues. Whilst improved two-dimensional gel electrophoresis (2-DE) sample preparation, staining and imaging issues are being actively pursued by industry, reliable high-throughput spot matching and quantification remains a significant bottleneck in the bioinformatics pipeline, thus restricting the flow of data to mass spectrometry through robotic spot excision and protein digestion. To this end, it is important to establish a full multi-site Grid infrastructure for the processing, archival, standardisation and retrieval of proteomic data and metadata. Particular emphasis needs to be placed on large-scale image mining and statistical cross-validation for reliable, fully automated differential expression analysis, and the development of a statistical 2-DE object model and ontology that underpins the emerging HUPO PSI GPS (Human Proteome Organization Proteomics Standards Initiative General Proteomics Standards). The first step towards this goal is to overcome the computational and communications burden entailed by the image analysis of 2-DE gels with Grid enabled cluster computing. This paper presents the proTurbo framework as part of the ProteomeGRID, which utilises Condor cluster management combined with CORBA communications and JPEG-LS lossless image compression for task farming. A novel probabilistic eager scheduler has been developed to minimise make-span, where tasks are duplicated in response to the likelihood of the Condor machines' owners evicting them. A 60 gel experiment was pair-wise image registered (3540 tasks) on a 40 machine Linux cluster. Real-world performance and network overhead was gauged, and Poisson distributed worker evictions were simulated. Our results show a 4:1 lossless and 9:1 near lossless image compression ratio and so network overhead did not affect other users. With 40 workers a 32x speed-up was seen (80% resource efficiency), and the eager scheduler reduced the impact of evictions by 58%.

Application of proteomics technologies in the investigation of the brain

Approximately 30-50% of the genes in mammals are expressed in the nervous system. A differential expression of genes in distinct patterns is necessary for the generation of the large variety of neuronal phenotypes. Proteomic analysis of brain compartments may be useful to understand the complexity, to investigate disorders of the central nervous system, and to search for corresponding early markers. Up to now, proteomics has mainly studied the identity and levels of the abundant human, rat, and mouse brain proteins as well as changes of their levels and the modifications that result from various neurological disorders, like Alzheimer's disease and Down's syndrome in humans and in animal models of those diseases. The proteins, for which altered levels in these disorders have been observed, exert mainly neurotransmission, guidance, and signal-transduction functions, or are involved in detoxification, metabolism, and conformational changes. Some of those proteins may be potential drug targets. Further improvement of proteomics technologies to increase sensitivity and efficiency of detection of certain protein classes is necessary for a more detailed analysis of the brain proteome. In this review, a description of the proteomics technologies applied in the investigation of the brain, the major findings that resulted from their application, and the potential and limitations of the current technologies are discussed.

Proteomics in the post-genome age

The genome sequencing effort has helped spawn the burgeoning field of proteomics. This review article examines state-of-the-art proteomics methods that are helping change the discovery paradigm in a variety of biological disciplines and, in particular, protein biochemistry. The review discusses both classical and novel methods to perform high-throughput qualitative and quantitative "global" as well as targeted proteome analysis of complex biological systems. From a drug discovery standpoint, the synergy between genomics and proteomics will help elucidate disease mechanisms, identify novel drug targets, and identify surrogate biomarkers that could be used to conduct clinical trials.

Human ERp29: isolation, primary structural characterisation and two-dimensional gel mapping

Recently we characterised a novel 29 kDa endoplasmic reticulum protein that is widely expressed in rat tissues, and named it ERp29. Several ERp29-like gene products have been reported in human tissues but uncertainty surrounds their relationships with each other and rat ERp29. To clarify these issues, ERp29 was isolated from human liver and characterised by primary structural analysis and two-dimensional gel mapping. Comparisons with rat ERp29 revealed striking homologies both in sequence and physical properties. Characterisation of the isoelectric heterogeneity and anomalous mass on two-dimensional gels enabled two reported homologues (UL35 and ERp31) to be identified as ERp29. Resolution of a sequence discrepancy led to unequivocal correlation of human ERp29 with the cognate cDNA previously named ERp31 and ERp28. Consequent links established to human genome and proteome projects showed that ERp29 is encoded by a gene on chromosome 12 that is expressed universally in human tissues. Together, these findings unified various ERp29 homologues as products of a single gene orthologous to rat ERp29 and established ERp29 as the only known member of a new protein class. Investigations of ERp29 function in human health and disease should benefit from the integrated links between genome, proteome and murine model organisms established here.

Two-dimensional map of the proteome of Haemophilus influenzae

We have constructed a two-dimensional database of the proteome of Haemophilus influenzae, a bacterium of medical interest of which the complete genome, comprising about 1742 open reading frames, has been sequenced. The soluble protein fraction of the microorganism was analyzed by two-dimensional electrophoresis, using immobilized pH gradient strips of various pH regions, gels with different acrylamide concentrations and buffers with different trailing ions. In order to visualize low-copy-number gene products, we employed a series of protein extraction and sample application approaches and several chromatographic steps, including heparin chromatography, chromatofocusing and hydrophobic interaction chromatography. We have also analyzed the cell envelope-bound protein fraction using either immobilized pH gradient strips or a two-detergent system with a cationic detergent in the first and an anionic detergent in the second-dimensional separation. Different proteins (502) were identified by matrix-assisted laser desorption/ionization mass spectrometry and amino acid composition analysis. This is at present one of the largest two-dimensional proteome databases.

Enrichment of human brain proteins by heparin chromatography

Detection of low-abundance proteins is essential for the identification of novel drug targets by differential protein expression studies. We studied the enrichment of human fetal brain proteins by heparin chromatography. Total soluble brain proteins were fractionated on Heparin-Actigel and the fractions collected were analyzed by two-dimensional electrophoresis. The proteins were identified by matrix-assisted laser desorption ionization mass spectrometry. Approximately 300 protein spots were analyzed, representing 70 different polypeptides, 50 of which were bound to the heparin matrix. Eighteen brain proteins were identified for the first time. The proteins enriched by heparin chromatography include both minor and major components of the brain protein extract. The enriched proteins belong to several classes, including proteasome components, dihydropirimidinase-related proteins, T-complex protein 1 components and enzymes with various catalytic activities. The results include a two-dimensional map of the soluble brain proteins and a list of the proteins enriched by heparin chromatography. These may be useful in the design of protein purification protocols and in studies of neurological disorders.

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.

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.

Two-dimensional map of human brain proteins

Samples of human brain from the parietal cortex lobe were analyzed by two-dimensional gel electrophoresis, using immobilized pH gradient strips covering the various pH regions. The protein spots were visualized with colloidal Coomassie blue stain and identified by matrix-assisted laser desorption/ionization mass spectrometry. Approximately 400 spots were identified, corresponding to 180 different brain proteins. The list of identified proteins includes a large number of structural proteins and of enzymes or enzyme subunits with various catalytic activities. The majority of proteins are localized in the cytoplasma and in mitochondria. The two-dimensional map may be useful as a reference database to study changes in the protein level caused by various disorders, such as Alzheimer's disease, major depression and schizophrenia.

Hydrolysis and amino acid composition of proteins

Amino acid composition analysis is a classical protein analysis method, which finds a wide application in medical and food science research and is indispensable for protein quantification. It is a complex technique, comprising two steps, hydrolysis of the substrate and chromatographic separation and detection of the residues. A properly performed hydrolysis is a prerequisite of a successful analysis. The most significant developments of the technology in the last decade consist in the (i) reduction of the hydrolysis time by the use of microwave radiation energy; (ii) improvement in the sensitivity of the residue detection, the quantification of the sensitive residues and separation of the enantiomeric forms of the amino acids; (iii) application of amino acid analysis in the large-scale protein identification by database search; and (iv) gradual replacement of the original ion exchange residue separation by reversed-phase high-performance liquid chromatography. Amino acid analysis is currently facing an enormous competition in the determination of the identity of proteins and amino acid homologs by the essentially faster mass spectrometry techniques. The amino acid analysis technology needs further simplification and automation of the hydrolysis, chromatography and detection steps to withstand the pressure exerted by the other technologies.

Reference map of the low molecular mass proteins of Haemophilus influenzae

Analysis of the proteome of Haemophilus influenzae by two-dimensional polyacrylamide gel electrophoresis on conventional Tris-glycine gels does not usually result in efficient separation of the proteins in the 5-20 kDa range, which are mainly accumulated in the lower acidic and basic regions. In order to improve the separation of the low molecular mass proteins, we used homogeneous Tricine gels of two urea concentrations in the second-dimensional separation. The Tricine gel systems allowed the efficient and reproducible separation of the proteins of the microorganism with masses between 5 and 20 kDa, however, no proteins with masses below 5 kDa could be visualized. Approximately 80 proteins migrating in the 5-25 kDa region were identified by matrix assisted laser desorption/ionization - mass spectrometry, of which 40 identified for the first time. The digestion of the low mass proteins often produced only few peptides, which were insufficient for confident identification by mass spectrometry. Therefore, the identification was occasionally achieved by a sequential digestion with two proteases, trypsin or endoproteinase Lys-C as first and carboxypeptidase P as second enzyme. The gel system described may be useful for the efficient separation of low molecular mass proteins from other organisms to construct standard maps.