CoryneRegNet 4.0: a reference database for corynebacterial gene regulatory networks

Baumbach J. CoryneRegNet 4.0: a reference database for corynebacterial gene regulatory networks. BMC Bioinformatics. 2007;8(1): 429.Background: Detailed information on DNA-binding transcription factors (the key players in the regulation of gene expression) and on transcriptional regulatory interactions of microorganisms deduced from literature-derived knowledge, computer predictions and global DNA microarray hybridization experiments, has opened the way for the genome-wide analysis of transcriptional regulatory networks. The large-scale reconstruction of these networks allows the in silico analysis of cell behavior in response to changing environmental conditions. We previously published CoryneRegNet, an ontology-based data warehouse of corynebacterial transcription factors and regulatory networks. Initially, it was designed to provide methods for the analysis and visualization of the gene regulatory network of Corynebacterium glutamicum. Results: Now we introduce CoryneRegNet release 4.0, which integrates data on the gene regulatory networks of 4 corynebacteria, 2 mycobacteria and the model organism Escherichia coli K12. As the previous versions, CoryneRegNet provides a web-based user interface to access the database content, to allow various queries, and to support the reconstruction, analysis and visualization of regulatory networks at different hierarchical levels. In this article, we present the further improved database content of CoryneRegNet along with novel analysis features. The network visualization feature GraphVis now allows the inter-species comparisons of reconstructed gene regulatory networks and the projection of gene expression levels onto that networks. Therefore, we added stimulon data directly into the database, but also provide Web Service access to the DNA microarray analysis platform EMMA. Additionally, CoryneRegNet now provides a SOAP based Web Service server, which can easily be consumed by other bioinformatics software systems. Stimulons (imported from the database, or uploaded by the user) can be analyzed in the context of known transcriptional regulatory networks to predict putative contradictions or further gene regulatory interactions. Furthermore, it integrates protein clusters by means of heuristically solving the weighted graph cluster editing problem. In addition, it provides Web Service based access to up to date gene annotation data from GenDB. Conclusion: The release 4.0 of CoryneRegNet is a comprehensive system for the integrated analysis of procaryotic gene regulatory networks. It is a versatile systems biology platform to support the efficient and large-scale analysis of transcriptional regulation of gene expression in microorganisms. It is publicly available at http://www.CoryneRegNet.DE

EMMA 2-A MAGE-compliant system for the collaborative analysis and integration of microarray data

Dondrup M, Albaum S, Griebel T, et al. EMMA 2-A MAGE-compliant system for the collaborative analysis and integration of microarray data. BMC Bioinformatics. 2009;10(1): 50.Background: Understanding transcriptional regulation by genome-wide microarray studies can contribute to unravel complex relationships between genes. Attempts to standardize the annotation of microarray data include the Minimum Information About a Microarray Experiment (MIAME) recommendations, the MAGE-ML format for data interchange, and the use of controlled vocabularies or ontologies. The existing software systems for microarray data analysis implement the mentioned standards only partially and are often hard to use and extend. Integration of genomic annotation data and other sources of external knowledge using open standards is therefore a key requirement for future integrated analysis systems. Results: The EMMA 2 software has been designed to resolve shortcomings with respect to full MAGE-ML and ontology support and makes use of modern data integration techniques. We present a software system that features comprehensive data analysis functions for spotted arrays, and for the most common synthesized oligo arrays such as Agilent, Affymetrix and NimbleGen. The system is based on the full MAGE object model. Analysis functionality is based on R and Bioconductor packages and can make use of a compute cluster for distributed services. Conclusion: Our model-driven approach for automatically implementing a full MAGE object model provides high flexibility and compatibility. Data integration via SOAP-based web-services is advantageous in a distributed client-server environment as the collaborative analysis of microarray data is gaining more and more relevance in international research consortia. The adequacy of the EMMA 2 software design and implementation has been proven by its application in many distributed functional genomics projects. Its scalability makes the current architecture suited for extensions towards future transcriptomics methods based on high-throughput sequencing approaches which have much higher computational requirements than microarrays

Microarray studies reveal a 'differential response' to moderate or severe heat shock of the HrcA- and HspR-dependent systems in Corynebacterium glutamicum

Barreiro C, Nakunst D, Hueser AT, de Paz HD, Kalinowski J, Martin JF. Microarray studies reveal a 'differential response' to moderate or severe heat shock of the HrcA- and HspR-dependent systems in Corynebacterium glutamicum. MICROBIOLOGY-SGM. 2009;155(2):359-372.Genome-wide transcription profile analysis of the heat-shocked wild-type strain under moderate (40 degrees C) and severe heat stress (50 degrees C) revealed that a large number of genes are differentially expressed after heat shock. Of these, 358 genes were upregulated and 420 were downregulated in response to moderate heat shock (40 degrees C) in Corynebacterium glutamicum. Our results confirmed the HrcA/controlling inverted repeat of chaperone expression (CIRCE)-dependent and HspR/HspR-associated inverted repeat (HAIR)-dependent upregulation of chaperones following heat shock. Other genes, including clusters of orthologous groups (COG) related to macromolecule biosynthesis and several transcriptional regulators (COG class K), were upregulated, explaining the large number of genes affected by heat shock. Mutants having deletions in the hrcA or hspR regulators were constructed, which allowed the complete identification of the genes controlled by those systems. The up- or downregulation of several genes observed in the microarray experiments was validated by Northern blot analyses and quantitative (real-time) reverse-transcription PCR. These analyses showed a heat-shock intensity-dependent response ('differential response') in the HspR/HAIR system, in contrast to the non-differential response shown by the HrcA/CIRCE-regulated genes