Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters











Database
Language
Publication year range
1.
Bioinformatics ; 27(7): 1034-5, 2011 Apr 01.
Article in English | MEDLINE | ID: mdl-21310745

ABSTRACT

UNLABELLED: GeneReporter is a web tool that reports functional information and relevant literature on a protein-coding sequence of interest. Its purpose is to support both manual genome annotation and document retrieval. PubMed references corresponding to a sequence are detected by the extraction of query words from UniProt entries of homologous sequences. Data on protein families, domains, potential cofactors, structure, function, cellular localization, metabolic contribution and corresponding DNA binding sites complement the information on a given gene product of interest. AVAILABILITY AND IMPLEMENTATION: GeneReporter is available at http://www.genereporter.tu-bs.de. The web site integrates databases and analysis tools as SOAP-based web services from the EBI (European Bioinformatics Institute) and NCBI (National Center for Biotechnology Information).


Subject(s)
Molecular Sequence Annotation , Sequence Analysis, Protein , Software , Computational Biology , Data Mining , Databases, Genetic , Internet , Proteins/chemistry , Proteins/genetics , PubMed , Sequence Homology, Amino Acid
2.
Mol Cell Proteomics ; 8(12): 2778-95, 2009 Dec.
Article in English | MEDLINE | ID: mdl-19640851

ABSTRACT

Stimulated by its physiological ligand, hepatocyte growth factor, the transmembrane receptor tyrosine kinase Met activates a signaling machinery that leads to mitogenic, motogenic, and morphogenic responses. Remarkably, the food-borne human pathogen Listeria monocytogenes also promotes autophosphorylation of Met through its virulence factor internalin B (InlB) and subsequently exploits Met signaling to induce phagocytosis into a broad range of host cells. Although the interaction between InlB and Met has been studied in detail, the signaling specificity of components involved in InlB-triggered cellular responses remains poorly characterized. The analysis of regulated phosphorylation events on protein kinases is therefore of particular relevance, although this could not as yet be characterized systematically by proteomics. Here, we implemented a new pyridopyrimidine-based strategy that enabled the efficient capture of a considerable subset of the human kinome in a robust one-step affinity chromatographic procedure. Additionally, and to gain functional insights into the InlB/Met-induced bacterial invasion process, a quantitative survey of the phosphorylation pattern of these protein kinases was accomplished. In total, the experimental design of this study comprises affinity chromatographic procedures for the systematic enrichment of kinases, as well as phosphopeptides; the quantification of all peptides based on the iTRAQ reporter system; and a rational statistical strategy to evaluate the quality of phosphosite regulations. With this improved chemical proteomics strategy, we determined and relatively quantified 143 phosphorylation sites detected on 94 human protein kinases. Interestingly, InlB-mediated signaling shows striking similarities compared with the natural ligand hepatocyte growth factor that was intensively studied in the past. In addition, this systematic approach suggests a new subset of protein kinases including Nek9, which are differentially phosphorylated after short time (4-min) treatment of cells with the Met-activating InlB(321). Thus, this quantitative phosphokinome study suggests a general, hypothesis-free concept for the detection of dynamically regulated protein kinases as novel signaling components involved in host-pathogen interactions.


Subject(s)
Bacterial Proteins/metabolism , Host-Pathogen Interactions , Listeria monocytogenes/metabolism , Membrane Proteins/metabolism , Phosphoproteins/metabolism , Proteomics/methods , Proto-Oncogene Proteins c-met/metabolism , Signal Transduction , Amino Acid Sequence , Chromatography, Affinity , Chromatography, Liquid , Cluster Analysis , HeLa Cells , Humans , Isotope Labeling , Ligands , Listeria monocytogenes/drug effects , Mass Spectrometry , Molecular Sequence Data , Peptides/chemistry , Phosphorylation/drug effects , Protein Kinase Inhibitors/pharmacology , Signal Transduction/drug effects
3.
Nucleic Acids Res ; 36(Web Server issue): W460-4, 2008 Jul 01.
Article in English | MEDLINE | ID: mdl-18440972

ABSTRACT

ProdoNet is a web-based application for the mapping of prokaryotic genes and the corresponding proteins to common gene regulatory and metabolic networks. For a given list of genes, the system detects shared operons, identifies co-expressed genes and deduces joint regulators. In addition, the contribution to shared metabolic pathways becomes visible on KEGG maps. Furthermore, the co-occurrence of genes of interest in gene expression profiles can be added to the visualization of the global network. In this way, ProdoNet provides the basis for functional genomics approaches and for the interpretation of transcriptomics and proteomics data. As an example, we present an investigation of an experimental membrane subproteome analysis of Pseudomonas aeruginosa with ProdoNet. The ProdoNet dataset on transcriptional regulation is based on the PRODORIC Prokaryotic Database of Gene Regulation and the Virtual Footprint tool. ProdoNet is accessible at http://www.prodonet.tu-bs.de.


Subject(s)
Bacteria/metabolism , Gene Regulatory Networks , Genes, Bacterial , Software , Bacterial Proteins/genetics , Computer Graphics , Gene Expression Profiling , Internet , Membrane Proteins/genetics , Metabolic Networks and Pathways , Operon , Pseudomonas aeruginosa/genetics , Pseudomonas aeruginosa/metabolism , Regulon , User-Computer Interface
SELECTION OF CITATIONS
SEARCH DETAIL