A Data Integration and Visualization Resource for the Metabolic Network of Synechocystis sp. PCC 6803. Issue 3 (8th January 2014)

• Record Type: Journal Article
• Authors: Maarleveld, Timo R.; Boele, Joost; Bruggeman, Frank J.; Teusink, Bas
• Is Part Of: Plant physiology. Volume 164:Issue 3(2014)
• Page Start: 1111
• Page End: 1121
• Publication Date: 2014-01-08
• Subjects: Plant physiology -- Periodicals; Botany -- Periodicals; Periodicals; Electronic journals; 571.2
• DOI: 10.1104/pp.113.224394
• Languages: English
• ISSNs: 0032-0889

Abstract

Abstract : Development of an interactive graphical map of metabolism is illustrated with the model cyanobacterium Synechocystis sp. PCC 6803 . Abstract: Data integration is a central activity in systems biology. The integration of genomic, transcript, protein, metabolite, flux, and computational data yields unprecedented information about the system level functioning of organisms. Often, data integration is done purely computationally, leaving the user with little insight in addition to statistical information. In this article, we present a visualization tool for the metabolic network of Synechocystis sp. PCC 6803, an important model cyanobacterium for sustainable biofuel production. We illustrate how this metabolic map can be used to integrate experimental and computational data for Synechocystis sp. PCC 6803 systems biology and metabolic engineering studies. Additionally, we discuss how this map, and the software infrastructure that we supply with it, can be used in the development of other organism-specific metabolic network visualizations. In addition to the Python console package VoNDA (http://vonda.sf.net ), we provide a working demonstration of the interactive metabolic map and the associated Synechocystis sp. PCC 6803 genome-scale stoichiometric model, as well as various ready-to-visualize microarray data sets, at http://f-a-m-e.org/synechocystis .