Integrative investigation of metabolic and transcriptomic data

Background: New analysis methods are being developed to integrate data from transcriptome, proteome, interactome, metabolome, and other investigative approaches. At the same time, existing methods are being modified to serve the objectives of systems biology and permit the interpretation of the huge datasets currently being generated by high-throughput methods. Results: Transcriptomic and metabolic data from chemostat fermentors were collected with the aim of investigating the relationship between these two data sets. The variation in transcriptome data in response to three physiological or genetic perturbations (medium composition, growth rate, and specific gene deletions) was investigated using linear modelling, and open reading-frames (ORFs) whose expression changed significantly in response to these perturbations were identified. Assuming that the metabolic profile is a function of the transcriptome profile, expression levels of the different ORFs were used to model the metabolic ...

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: Pinar Pir, Betül Kirdar, Andrew Hayes, Z. Ilsen Önsan, Kutlu Ö. Ülgen, Stephen G. Oliver
• Keywords: BMCBI 2006, Specific Genes, Systems Biology, Transcriptome