Jiri Vohradsky | PubMed Health

PubMed2003

Proteome of Caulobacter crescentus cell cycle publicly accessible on SWICZ server.

Here we present the Swiss-Czech Proteomics Server (SWICZ), which hosts the proteomic database summarizing information about the cell cycle of the aquatic bacterium Caulobacter crescentus. The database provides a searchable tool for easy access of global protein synthesis and protein stability data as examined during the C. crescentus cell cycle. Protein synthesis data collected from five different cell cycle stages were determined for each protein spot as a relative value of the total amount of [(35)S]methionine incorporation. Protein stability of pulse-labeled extracts were measured during a chase period equivalent to one cell cycle unit. Quantitative information for individual proteins together with descriptive data such as protein identities, apparent molecular masses and isoelectric points, were combined with information on protein function, genomic context, and the cell cycle stage, and were then assembled in a relational database with a world wide web interface (http://proteom.biomed.cas.cz), which allows the database records to be searched and displays the recovered information. A total of 1250 protein spots were reproducibly detected on two-dimensional gel electropherograms, 295 of which were identified by mass spectroscopy. The database is accessible either through clickable two-dimensional gel electrophoretic maps or by means of a set of dedicated search engines. Basic characterization of the experimental procedures, data processing, and a comprehensive description of the web site are presented. In its current state, the SWICZ proteome database provides a platform for the incorporation of new data emerging from extended functional studies on the C. crescentus proteome.

Bacterial Proteins↗

PubMed2003

Proteomic studies of diauxic lag in the differentiating prokaryote Streptomyces coelicolor reveal a regulatory network of stress-induced proteins and central metabolic enzymes.

Bacteria typically undergo intermittent periods of starvation and adaptation, emulated as diauxic growth in the laboratory. In association with growth arrest elicited by metabolic stress, the differentiating eubacterium Streptomyces coelicolor not only adapts its primary metabolism, but can also activate developmental programmes leading to morphogenesis and antibiotic biosynthesis. Here, we report combined proteomic and metabolomic data of S. coelicolor used to analyse global changes in gene expression during diauxic growth in a defined liquid medium. Cultures initially grew on glutamate, providing the nitrogen source and feeding carbon (as 2-oxoglutarate) into the TCA cycle, followed by a diauxic delay allowing reorientation of metabolism and a second round of growth supported by NH4+, formed during prediauxic phase, and maltose, a glycolytic substrate. Cultures finally entered stationary phase as a result of nitrogen starvation. These four physiological states had previously been defined statistically by their distinct patterns of protein synthesis and heat shock responses. Together, these data demonstrated that the rates of synthesis of heat shock proteins are determined not only by temperature increase but also by the patterns and rates of metabolic flux in certain pathways. Synthesis profiles for metabolic- and stress-induced proteins can now be interpreted by the identification of 204 spots (SWICZ database presented at http://proteom.biomed.cas.cz). Cluster analysis showed that the activity of central metabolic enzymes involved in glycolysis, the TCA cycle, starvation or proteolysis each displayed identifiable patterns of synthesis that logically underlie the metabolic state of the culture. Diauxic lag was accompanied by a structured regulatory programme involving the sequential activation of heat-, salt-, cold- and bacteriostatic antibiotic (pristinamycin I, PI)-induced stimulons. Although stress stimulons presumably provide protection during environmental- or starvation-induced stress, their identities did not reveal any coherent adaptive or developmental functions. These studies revealed interactive regulation of metabolic and stress response systems including some proteins known to support developmental programmes in S. coelicolor.

Adaptation, Physiological↗

PubMed2002

Genexp--a genetic network simulation environment.

UNLABELLED: An environment for simulation of dynamics of genetic regulatory networks is presented. The model is based on the recurrent neural network principle and allows to interactively simulate various genetic regulatory interactions under different features of the system. The results are displayed graphically. AVAILABILITY: http://proteom.biomed.cas.cz/genexp

Computer Simulation↗