Database Commons

a catalog of worldwide biological databases

Helicobacter pylori is one of the most common bacterial pathogens and causes a variety of diseases, such as peptic ulcer or gastric cancer. Despite intensive study of this human pathogen in the last decades, knowledge about its membrane proteins and, in particular, those which are putative components of the type IV secretion system encoded by the cag pathogenicity island (PAI) remains limited. Our aim is to establish a dynamic two-dimensional electrophoresis-polyacrylamide gel electrophoresis (2-DE-PAGE) database with multiple subproteomes of H. pylori (http://www.mpiib-berlin.mpg.de/2D-PAGE) which facilitates identification of bacterial proteins important in pathogen-host interactions. Using a proteomic approach, we investigated the protein composition of two H. pylori fractions: soluble proteins and structure-bound proteins (including membrane proteins). Both fractions differed markedly in the overall protein composition as determined by 2-DE. The 50 most abundant protein spots in each fraction were identified by peptide mass fingerprinting. We detected four cag PAI proteins, numerous outer membrane proteins (OMPs), the vacuolating cytotoxin VacA, other potential virulence factors, and few ribosomal proteins in the structure-bound fraction. In contrast, catalase (KatA), gamma-glutamyltranspeptidase (Ggt), and the neutrophil-activating protein NapA were found almost exclusively in the soluble protein fraction. The results presented here are an important complement to genome sequence data, and the established 2-D PAGE maps provide a basis for comparative studies of the H. pylori proteome. Such subproteomes in the public domain will be effective instruments for identifying new virulence factors and antigens of potential diagnostic and/or curative value against infections with this important pathogen.

Effective vaccines could provide long-term solutions to many important infectious diseases, however, vaccine development has been hampered by the slow identification of protective antigens. Proteomics provides global information about relevant antigen properties and thus might be ideally suited for identifying promising vaccine antigen subsets. Helicobacter pylori proteomics data are stored in a proteomics database (http://www.mpiib-berlin.mpg.de/2D-PAGE/). In this review, we describe how a combined Helicobacter subproteome analysis resulted in the rapid identification of novel, highly protective antigens. This illustrates the great potential of pathogen proteomics for vaccine development.

Web-accessible proteome databases represent indispensable tools for quantitative and comparative proteomics research. The majority of two-dimensional gel electrophoresis (2-DE) databases contains clickable 2-DE gel images and descriptive textual information such as protein name, Mr/pI values, methods of identification, cellular localization and other information on proteins. Although a great part of the work in comparative proteomics consists of the analysis of 2-DE gels using image analysis approaches, most proteome databases lack the ability to present protein abundance data and their alterations within experiments via the web. Now, differentially regulated proteins detected in microbial experiments by quantitative gel image analysis are presented in a web-accessible relational database DIFF (Differentially Regulated Proteins). The DIFF database is a part of the proteome database system for microbial research available at http://www.mpiib-berlin.mpg.de/2D-PAGE.

Two-dimensional gel electrophoresis (2-DE) with immobilized pH gradients was carried out on total cell lysates and membrane fractions of Paracoccus denitrificans with the aim to characterize differences in protein expression during growth under aerobic and various anaerobic conditions (with nitrate, nitrite or nitrous oxide). Comparative image analysis of the protein pattern revealed several subgroups of the total 800 protein spots resolved that were characteristically induced or repressed in response to individual electron acceptors. The respiratory inhibitor azide also exerted a profound influence upon cellular protein composition. However, since most of the proteins showing an altered expression pattern in cells growing on oxygen differed from those in cells growing on nitrite, we suppose that azide acts mainly indirectly, possibly by influencing other cellular signals. Limited information on the P. denitrificans genome has precluded the identification of more than eight protein spots as yet. A public accessible P. denitrificans 2-DE protein database is currently built up at http://www.mpiib-berlin.mpg.de/2D-PAGE.

The analysis of proteomes of biological organisms represents a major challenge of the post-genome era. Classical proteomics combines two-dimensional electrophoresis (2-DE) and mass spectrometry (MS) for the identification of proteins. Novel technologies such as isotope coded affinity tag (ICAT)-liquid chromatography/mass spectrometry (LC/MS) open new insights into protein alterations. The vast amount and diverse types of proteomic data require adequate web-accessible computational and database technologies for storage, integration, dissemination, analysis and visualization. A proteome database system (http://www.mpiib-berlin.mpg.de/2D-PAGE) for microbial research has been constructed which integrates 2-DE/MS, ICAT-LC/MS and functional classification data of proteins with genomic, metabolic and other biological knowledge sources. The two-dimensional polyacrylamide gel electrophoresis database delivers experimental data on microbial proteins including mass spectra for the validation of protein identification. The ICAT-LC/MS database comprises experimental data for protein alterations of mycobacterial strains BCG vs. H37Rv. By formulating complex queries within a functional protein classification database "FUNC_CLASS" for Mycobacterium tuberculosis and Helicobacter pylori the researcher can gather precise information on genes, proteins, protein classes and metabolic pathways. The use of the R language in the database architecture allows high-level data analysis and visualization to be performed "on-the-fly". The database system is centrally administrated, and investigators without specific bioinformatic competence in database construction can submit their data. The database system also serves as a template for a prototype of a European Proteome Database of Pathogenic Bacteria. Currently, the database system includes proteome information for six strains of microorganisms.

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.

About 2000 protein spots of human Jurkat T-cells were detected by high resolution two-dimensional gel electrophoresis (2-DE) and were characterized in terms of their isoelectric point and molecular mass. A 2-DE database was constructed and is available at http://www.mpiib-berlin.mpg.de/2D-PAGE/. At present the database contains 67 identified protein spots. These proteins were identified after tryptic digestion by peptide mass fingerprinting with delayed extraction-matrix assisted laser desorption/ionization-mass spectrometry (DE-MALDI-MS). Proteins with a sequence coverage of at least 30% were introduced in the database. This sequence coverage could not always be obtained by using only the matrix alpha-cyano-4-hydroxycinnamic acid (CHCA) for the mass analysis. Therefore, an additional mass spectrum was recorded by using 2,5-dihydroxybenzoic acid (DHB). Usually, additional mass peaks were detected and together with the mass spectrum of CHCA this resulted in the desired sequence coverage.

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.