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Novel probes for protein chip applications.

Protein microarrays (protein chips), due to their high throughput, have great potential to reduce the cycle time of drug discovery and to improve the efficiency of medical diagnostics. A great deal of effort has been made to facilitate the development of protein chips, such as the antibody microarrays. High-throughput fabrication of purified high-affinity probes is now one of the bottlenecks for protein microarrays. We discuss here three novel strategies to fabricate probes, namely, single chain antibodies displayed by phage, protein-oligonucleotide conjugates, and aptamers, which are promising in the protein chip technology.

Antibodies↗

PRIME: automatically extracted PRotein Interactions and Molecular Information databasE.

With the exponentially increasing amount of information in the biomedical field, the significance of advanced information retrieval and information extraction, as well as the role of databases, has been increasing. PRIME is an integrated gene/protein informatics database based on natural language processing. It provides automatically extracted protein/family/gene/compound interaction information including both physical and genetic interactions, gene ontology based functions, and graphic pathway viewers. Gene/protein/family names and functional terms are recognized based on dictionaries developed in our laboratory. The interaction and functional information are extracted by syntactic dependencies and various phrase patterns. We have included about 920,000 (non-redundant) protein interactions and 360,000 annotated gene-function relationships for major eukaryotes. By combining the sequence and text information, the pathway comparison between two organisms and simple pathway deduction based on other organism interaction data, and pathway filtering using tissue expression data, are also available. This database is accessible at http://prime.ontology.ims.u-tokyo.ac.jp:8081.

Abstracting and Indexing↗

[Improvement of protein preparation methods for bronchial epithelial tissues and establishment of 2-DE profiles from carcinogenic process of human bronchial epithelial tissues].

OBJECTIVE: To optimize the protein preparation methods for bronchial epithelial tissues, to establish two-dimensional gel electrophoresis profiles from different stages tissues of human bronchial epithelial carcinogenic process, and to provide a base for identifying carcinogenesis-associated proteins of lung squamous carcinoma. METHODS: After obtaining samples of the normal-metaplasia-dysplasia-carcinoma tissues of human bronchial epithelia, improved deoxycholate-trichloroaetic acid (DOC-TCA) precipitation was used to extract and purify the total proteins of bronchial epithelial samples. Immobilized pH gradient two-dimensional polyacrylamide gel electrophoresis (2-DE) was used to seperate the total proteins of the samples. After silver staining, ImageMaster 2-DE image analysis software was applied to analyze 2-DE images. RESULTS: The total proteins extracted with improved DOC-TCA precipitation was used to perform 2-DE. 2-DE patterns with high resolution and reproducibility from different stages were obtained. The average spots for normal epithelium, metaplasia, dysplasia and invasive carcinoma were 1190 +/- 63, 1 227 +/- 69, 1272 +/- 71 and 1326 +/- 82, respectively. One of the squmous metaplasia tissues was chosen and repeated 2-DE for 3 times. Averagely 1216 +/- 75 spots were detected among the 3 gels of metsplasia tissues and 1082 +/- 67 spots were matched. The average matching rate was 89.3% and protein spots in the 3 gels had a good reproducibility. The average position deviation of matched spots in different gels was 0.835 +/- 0.247 mm in IEF direction, and 0.921 +/- 0.104 mm in SDS-PAGE direction. CONCLUSION: Improved DOC-TCA precipitation is a proper method for protein sample preparation of bronchial epithelial tissues. The well-resolved, reproducible 2-DE profiles from different stage tissues of human bronchial epithelial carcinogenic process have been primarily established.

Bronchi↗

The cytosolic, cell surface and extracellular proteomes of the biotechnologically important soil bacterium Corynebacterium efficiens YS-314 in comparison to those of Corynebacterium glutamicum ATCC 13032.

Reference maps of the cytosolic, cell surface and extracellular proteome fractions of the amino acid-producing soil bacterium Corynebacterium efficiens YS-314 were established. The analysis window covers a pI range from 3 to 7 along with a molecular mass range from 10 to 130 kDa. After second-dimensional separation on SDS-PAGE and Coomassie staining, computational analysis detected 635 protein spots in the cytosolic proteome fraction, whereas 76 and 102 spots were detected in the cell surface and extracellular proteomes, respectively. By means of MALDI-TOF-MS and tryptic peptide mass fingerprinting, 164 cytosolic proteins, 49 proteins of the cell surface and 89 extracellular protein spots were identified, representing in total 177 different proteins. Additionally, reference maps of the three cellular proteome fractions of the close phylogenetic relative Corynebacterium glutamicum ATCC 13032 were generated and used for comparative proteomics. Classification according to the Clusters of Orthologous Groups of proteins scheme and abundance analysis of the identified proteins revealed species-specific differences. The high abundance of molecular chaperones and amino acid biosynthesis enzymes in C. efficiens points to environmental adaptations of this recently discovered amino acid-producing bacterium.

Amino Acid Sequence↗

"Affinity-proteomics": direct protein identification from biological material using mass spectrometric epitope mapping.

We describe here a new approach for the identification of affinity-bound proteins by proteolytic generation and mass spectrometric analysis of their antibody bound epitope peptides (epitope excision). The cardiac muscle protein troponin T was chosen as a protein antigen because of its diagnostic importance in myocardial infarct, and its previously characterised epitope structure. Two monoclonal antibodies (IgG1-1B10 and IgG1-11.7) raised against intact human troponin T were found to be completely cross reactive with bovine heart troponin T. A combination of immuno-affinity isolation, partial proteolytic degradation (epitope excision), mass spectrometric peptide mapping, and database analysis was used for the direct identification of Tn T from bovine heart cell lysate. Selective binding of the protein was achieved by addition of bovine heart cell lysate to the Sepharose-immobilised monoclonal antibodies, followed by removal of supernatant material containing unbound protein. While still bound to the affinity matrix the protein was partially degraded thereby generating a set of affinity-bound, overlapping peptide fragments comprising the epitope. Following dissociation from the antibody the epitope peptides were analysed by matrix assisted laser desorption-ionisation (MALDI) and electrospray-ionisation (ESI) mass spectrometry. The peptide masses identified by mass spectrometry were used to perform an automated database search, combined with a search for a common "epitope motif". This procedure resulted in the unequivocal identification of the protein from biological material with only a minimum number of peptide masses, and requiring only limited mass-determination accuracy. The dramatic increase of selectivity for identification of the protein by combining the antigen-antibody specificity with the redundancy of peptide sequences renders this "affinity-proteomics" approach a powerful tool for mass spectrometric identification of proteins from biological material.

Amino Acid Sequence↗

The extracellular and cytoplasmic proteomes of the non-virulent Bacillus anthracis strain UM23C1-2.

The recently published genome sequence of Bacillus anthracis Ames has facilitated the prediction of proteins associated with the virulence of this bacterium. The aim of this study was to define reference maps for the extracellular and cytoplasmic proteomes of the avirulent B. anthracis strain UM23C1-2 that are useful for physiological studies and the development of improved vaccines. Using 2-DE and subsequent MALDI-TOF-TOF MS, 64 proteins were identified in the extracellular proteome, only 29 of which were predicted to be exported into the culture medium. The latter included chitinases, proteases, nucleotidases, sulfatases, phosphatases and proteins of unknown function. Of the remaining proteins in the culture medium, 18 were predicted to be associated with the cell wall or anchored on the trans side of the cytoplasmic membrane while 17 other proteins lacked identifiable export signals and were predicted to be cytoplasmic proteins. Among the S-layer proteins, Sap and Eag account for 10% of the total extracellular proteome. Many of the proteins are predicted to contribute to the virulence and antigenic signature of B. anthracis. We have also studied the composition of the cytoplasmic proteome, identifying 300 distinct proteins. The most abundant cytoplasmic proteins are primarily those involved in glycolysis, amino acid metabolism, protein translation, protein folding and stress adaptation. The presence of a variety of proteases, peptidases, peptide binding proteins, as well as enzymes required for the metabolism of amino acids, suggests that B. anthracis is adapted to life in a protein-rich environment rather than the soil. We therefore speculate that proteases and peptidases could be useful targets for the development of improved vaccines. In addition, both of these B. anthracis compartment-specific proteomes can be used as reference maps to monitor changes in the production of secreted and cytosolic proteins that occur, for example, during growth in macrophages.

Amino Acid Sequence↗

Advances in proteomic technologies.

Proteomics is a rapidly emerging set of key technologies that are being used to identify proteins and map their interactions in a cellular context. With the sequencing of the human genome, the scope of proteomics has shifted from protein identification and characterization to include protein structure, function and protein-protein interactions. Technologies used in proteomic research include two-dimensional gel electrophoresis, mass spectrometry, yeast two-hybrids screens, and computational prediction programs. While some of these technologies have been in use for a long time, they are currently being applied to study physiology and cellular processes in high-throughput formats. It is the high-throughput approach that defines and characterizes modern proteomics. In this review, we discuss the current status of these experimental and computational technologies relevant to the three major aspects of proteomics-characterization of proteomes, identification of proteins, and determination of protein function. We also briefly discuss the development of new proteomic technologies that are based on recent advances in analytical and biochemical techniques, engineering, microfabrication, and computational prowess. The integration of these advances with established technologies is invaluable for the drive toward a comprehensive understanding of protein structure and function in the cellular milieu.

Electrophoresis, Gel, Two-Dimensional↗

Proteomic approaches for studying chemoresistance in cancer.

The role of various proteins involved in drug resistance in tumor cells is discussed in this review. Two types of studies are covered: those performed in the preproteomics era and those carried out with modern proteomic tools, namely 2D (electrophoretic) maps and 2D chromatography. In the preproteomic studies, one protein had generally been held responsible for a given chemoresistance. However, analysis via proteomic tools may reveal entire sets of proteins that are up- or downregulated (or switched on/off) in chemoresistant tumor cell lines compared with parental tumor lines. Therefore, it appears more realistic to expect that exposure of cells to drugs results in the activation of different mechanisms of resistance. Such investigations have led to the broadly shared opinion that exposure of cells to drugs results in the activation of different mechanisms of resistance, and that a specific drug-resistant phenotype consists of several molecular mechanisms that are simultaneously active. The proteomic papers reviewed clearly support the hypothesis that many metabolic pathways are affected during the resistance process. Although the modulation of expression levels of such proteins is not clear proof of their role in drug resistance per se, at least some of the themes are very likely to be involved in the resistance phenotype, and thus may be potential targets for new drugs. It is hoped that this review will bring new insight in this field and will stimulate novel and deeper searches with proteomic tools (including prefractionation of subcellular organelles, such as nuclei, to bring to the fore low-abundance proteins that might be responsible for the onset of drug resistance).

ATP-Binding Cassette Transporters↗

The Gene Ontology Annotation (GOA) project: implementation of GO in SWISS-PROT, TrEMBL, and InterPro.

Gene Ontology Annotation (GOA) is a project run by the European Bioinformatics Institute (EBI) that aims to provide assignments of terms from the Gene Ontology (GO) resource to gene products in a number of its databases (http://www.ebi.ac.uk/GOA). In the first stage of this project, GO assignments have been applied to a data set representing the complete human proteome by a combination of electronic mappings and manual curation. This vocabulary has also been applied to the nonredundant proteome sets for all other completely sequenced organisms as well as to proteins from a wide range of organisms where the proteome is not yet complete.

Computational Biology↗

Correlation between transcriptome and interactome mapping data from Saccharomyces cerevisiae.

Genomic and proteomic approaches can provide hypotheses concerning function for the large number of genes predicted from genome sequences. Because of the artificial nature of the assays, however, the information from these high-throughput approaches should be considered with caution. Although it is possible that more meaningful hypotheses could be formulated by integrating the data from various functional genomic and proteomic projects, it has yet to be seen to what extent the data can be correlated and how such integration can be achieved. We developed a 'transcriptome-interactome correlation mapping' strategy to compare the interactions between proteins encoded by genes that belong to common expression-profiling clusters with those between proteins encoded by genes that belong to different clusters. Using this strategy with currently available data sets for Saccharomyces cerevisiae, we provide the first global evidence that genes with similar expression profiles are more likely to encode interacting proteins. We show how this correlation between transcriptome and interactome data can be used to improve the quality of hypotheses based on the information from both approaches. The strategy described here may help to integrate other functional genomic and proteomic data, both in yeast and in higher organisms.

Fungal Proteins↗

Rice proteome analysis: a step toward functional analysis of the rice genome.

The technique of proteome analysis using 2-DE has the power to monitor global changes that occur in the protein complement of tissues and subcellular compartments. In this review, we describe construction of the rice proteome database, the cataloging of rice proteins, and the functional characterization of some of the proteins identified. Initially, proteins extracted from various tissues and organelles were separated by 2-DE and an image analyzer was used to construct a display or reference map of the proteins. The rice proteome database currently contains 23 reference maps based on 2-DE of proteins from different rice tissues and subcellular compartments. These reference maps comprise 13 129 rice proteins, and the amino acid sequences of 5092 of these proteins are entered in the database. Major proteins involved in growth or stress responses have been identified by using a proteomics approach and some of these proteins have unique functions. Furthermore, initial work has also begun on analyzing the phosphoproteome and protein-protein interactions in rice. The information obtained from the rice proteome database will aid in the molecular cloning of rice genes and in predicting the function of unknown proteins.

Calreticulin↗

Phospho-proteomics: evaluation of the use of enzymatic de-phosphorylation and differential mass spectrometric peptide mass mapping for site specific phosphorylation assignment in proteins separated by gel electrophoresis.

Detection of phosphorylated proteins as well as assignment of the phosphorylated sites in such proteins is a major challenge in proteomics. In the present study we evaluate the use of enzymatic de-phosphorylation in combination with differential peptide mass mapping for identification of phosphorylated peptides in peptide mixtures derived from in-gel digested phospho-proteins. Phospho-peptides could be identified provided that improved sample preparation methods prior to mass spectrometric analysis were used. An attempt to identify the proteins visualized by [32P] autoradiography in a proteomics study and their phosphorylation sites, demonstrated that protein identification was possible whereas reliable identification of the phospho-peptides requires more protein than normally available in our proteomics studies.

Alkaline Phosphatase↗

Proteomic changes associated with inactivation of the Candida glabrata ACE2 virulence-moderating gene.

Inactivation of the gene encoding the transcriptional activator Ace2 in the fungal pathogen Candida glabrata results in an almost 200-fold increase in virulence characterised by acute mortality and a massive over-stimulation of the pro-inflammatory arm of the innate immune system. In this study we have adopted a proteomics approach to identify cellular functions regulated by C. glabrata Ace2 that might contribute to this increase in virulence. A two-dimensional polyacrylamide gel electrophoresis map of the C. glabrata proteome was constructed. We identified a total of 123 proteins, 61 of which displayed reproducible and statistically significant alterations in their levels following inactivation of ACE2. Of these, the levels of 32 proteins were elevated, and 29 were reduced in ace2 cells. These data show that Ace2 influences metabolism, protein synthesis, folding and targeting, and aspects of cell growth and polarisation. Some of these functions are likely to contribute to the effects of Ace2 upon the virulence of C. glabrata.

Candida glabrata↗

Chromosome mapping and identification of amphiphilic proteins of hexaploid wheat kernels.

Amphiphilic proteomic analysis was carried out on the ITMI (International Triticae Mapping Population) population resulting from a cross between "Synthetic", i.e.: "W7984" and "Opata". Out of a total of 446 spots, 170 were specific to either of the two parents, and 276 were common to both. Preliminary analysis, which was performed on 80 progenies (Amiour et al. 2002a), was completed here using a total of 101 selfed lines. Seventy two Loci of amphiphilic spots placed at LOD = 5 were conclusively assigned to 15 chromosomes. Some spots mapped during the first analysis were eliminated because of the significant distortion segregation observed in the second analysis. Group-1 chromosomes had by far the greatest number of mapped spots (51). Using the Quantitative Trait Loci (QTLs) approach, analysis of the quantitative variation of each spot revealed that 96 spots out of the 170 specific ones showed at least one Protein Quantity Locus (PQL). These PQLs were distributed throughout the genome. With Matrix Laser Desorption Ionisation Time Of Flight (MALDI-TOF) spectrometry and Database interrogation, a total of 93 specific and 41 common spots were identified. This enabled us to show that the majority of these proteins are associated with membranes and/or play a role in plant defence against external invasions. Using multiple-regression analysis, other amphiphilic proteins, in addition to puroindolines, were shown to be involved in variation in kernel hardness in the ITMI population.

Chromosome Mapping↗

A computational approach for ordering signal transduction pathway components from genomics and proteomics Data.

BACKGROUND: Signal transduction is one of the most important biological processes by which cells convert an external signal into a response. Novel computational approaches to mapping proteins onto signaling pathways are needed to fully take advantage of the rapid accumulation of genomic and proteomics information. However, despite their importance, research on signaling pathways reconstruction utilizing large-scale genomics and proteomics information has been limited. RESULTS: We have developed an approach for predicting the order of signaling pathway components, assuming all the components on the pathways are known. Our method is built on a score function that integrates protein-protein interaction data and microarray gene expression data. Compared to the individual datasets, either protein interactions or gene transcript abundance measurements, the integrated approach leads to better identification of the order of the pathway components. CONCLUSIONS: As demonstrated in our study on the yeast MAPK signaling pathways, the integration analysis of high-throughput genomics and proteomics data can be a powerful means to infer the order of pathway components, enabling the transformation from molecular data into knowledge of cellular mechanisms.

Computational Biology↗

Human proteome enhancement: high-recovery method and improved two-dimensional map of colostral fat globule membrane proteins.

The human milk fat globule membrane protein composition is still largely unknown, although it counts for 2-4% of the total milk protein content and contains several important biologically active components. The aim of this work was to create a two-dimensional electrophoresis (2-DE) map of the human milk fat globule membrane proteins, both integral and membrane-associated, and to identify and characterize as many protein components as possible. A new protocol for the solubilization and extraction of the human milk fat globule membrane proteins with a double extraction procedure is presented, and the results compared with the extraction methods reported in the literature. The proteins were separated, in the first dimension, by isoelectric focusing (IEF) in the pH range 3-10 on strips of 13 cm length and, in the second dimension, by Sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) on 11.5% T homogeneous gels. A reproducible 2-DE map of integral and membrane-associated proteins was obtained and the first 23 spots, representing the major components, were identified by matrix assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometric analysis and/or by amino acid sequencing.

Electrophoresis, Gel, Two-Dimensional↗

Epitope-targeted proteome analysis: towards a large-scale automated protein-protein-interaction mapping utilizing synthetic peptide arrays.

We describe the development of a process for the genome-wide mapping of interactions between protein domains and peptide ligands entirely based on high-throughput biochip technologies. A phage library displaying protein domains from a randomly fragmented and cloned cDNA library will be "panned" on an array of synthetic peptide ligands. After multiplexed affinity enrichment, peptide-specific phage populations will be automatically eluted, propagated, labelled and identified by hybridisation to a DNA microarray. Peptide arrays are synthesized in situ by SPOT synthesis on a planar substrate. By utilizing a commercially available library of human brain cDNA plus a set of distinct model domains cloned into T7-phage, we could show that a single panning round on an array of known peptide ligands for these model domains synthesized on a cellulose membrane can yield an enrichment of better than a factor of 1,000. This is sufficient to detect peptide-specific enrichment of Cy3(post-panning) against Cy5(pre-panning)-labelled phage DNA inserts on a cDNA microarray. Thus, the proof-of-principle of our approach could be successfully demonstrated and first interaction data are being collected.

Amino Acid Sequence↗