Searching the Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
Dissolved oxygen (DO) is an important factor for adenosine fermentation. Our previous experiments have shown that low oxygen supply in the growth period was optimal for high adenosine yield. Herein, to better understand the link between oxygen supply and adenosine productivity in B. subtilis (ATCC21616), we sought to systematically explore the effect of DO on genetic regulation and metabolism through transcriptome analysis. The microarrays representing 4,106 genes were used to study temporal transcript profiles of B. subtilis fermentation in response to high oxygen supply (agitation 700 r/min) and low oxygen supply (agitation 450 r/min). The transcriptome data analysis revealed that low oxygen supply has three major effects on metabolism: enhance carbon metabolism (glucose metabolism, pyruvate metabolism and carbon overflow), inhibit degradation of nitrogen sources (glutamate family amino acids and xanthine) and purine synthesis. Inhibition of xanthine degradation was the reason that low oxygen supply enhanced adenosine production. These provide us with potential targets, which can be modified to achieve higher adenosine yield. Expression of genes involved in energy, cell type differentiation, protein synthesis was also influenced by oxygen supply. These results provided new insights into the relationship between oxygen supply and metabolism.
Pubmed ID: 21625606
Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 16, 2019.Database for annotated mouse proteins and their occurrence in protein networks. It contains cDNA and protein sequences, annotation, gene models and mapping, FunCat, UCSC Genome Viewer, SIMAP, pseudogenes (Genome Viewer Track), InterPro, and splice variants. Protein function annotation is performed using the Functional Catalogue (FunCat) annotation scheme, which is a hierarchically structured classification system. To provide up-to-date similarity search results and InterPro domain analyses, the protein entries are interconnected with the SIMAP database. The gene models are based on the RefSeq mouse cDNAs. The work of our group is focussed on the annotation of biological systems. Therefore, results from the Mammalian Protein-Protein Interaction Database and the Comprehensive Resource of Mammalian Protein Complexes are linked to the MfunGD dataset. Links to external resources are also provided. MfunGD is implemented in GenRE, a J2EE based component oriented multi-tier architecture.
View all literature mentionsSubtilist is a database dedicated to the analysis of the genome of Bacillus subtilis. It provides a complete dataset of DNA and protein sequences derived from the paradigm strain B. subtilis 168, linked to the relevant annotations and functional assignments. It also allows one to easily browse through these data and retrieve information, using various criteria (gene names, location, keywords, etc.). The purpose of the website is to collate and integrate various aspects of the genomic information from B. subtilis, the paradigm of sporulating Gram-positive bacteria. The data contained in SubtiList originated mainly from the worldwide collaborative B. subtilis genome sequencing project, supplemented with information from the B. subtilis entries present in the EMBL/GenBank/DDBJ databanks, as well as observations either published in international journals or communicated directly to us by individual researchers.
View all literature mentionsTHIS RESOURCE IS NO LONGER IN SERVICE, documented on August 19, 2019. The Functional Catalogue is an annotation scheme for the functional description of proteins of prokaryotic and eukaryotic origin. Taking into account the broad and highly diverse spectrum of known protein functions, the FunCat consists of 28 main functional categories (or branches) that cover general fields like cellular transport, metabolism and cellular communication/signal transduction. The main branches exhibit a hierarchical, tree like structure with up to six levels of increasing specificity. In total, the FunCat version 2.1 includes 1362 functional categories. This general concept was retained since the annotation of the Saccharomyces cerevisiae genome with only 4 revisions and later on also proved to be well suited for the annotation of genomes from different domains of life (Ruepp et al. 2004). The present and previous versions as well as a version mapping file of the FunCat and annotation data of our core projects can be downloaded via FTP. The MIPS Functional Catalogue Database provides a search tool to browse and search the Functional Categories including the FunCat Number, description, EC number, GO number or keywords associated with the categories. All FunCat annotated proteins and the amount of Co-annotated-FunCats can be retrieved starting with a specific category in a selected organism. A statistical survey of the functional distribution of a given set of genes/entries, e. g. a set of genes with up-regulated expression under a certain condition can be retrieved.
View all literature mentions