Affiliations: Department of Biochemistry and Molecular Biology B,
Faculty of Chemistry, University of Murcia, 30100 Murcia
Note: [] Corresponding author: A. Sevilla and V. Bernal contributed
equally to this article. E-mail: [email protected]
Abstract: A thorough understanding of the in vivo kinetics of
microorganisms requires the analysis of different data sets and therefore needs
support from different sources of genome, transcriptome, proteome and
metabolome data, as well as to generate new data in the laboratory to depict
cell phenotypes in different scenarios. The value of dynamic metabolic data
depends on the adequate design of wet experiments. In this paper a schematic
representation of wet dynamic experiments to generate data is discussed. As a
case study, the linking of the central metabolism with the carnitine secondary
metabolism in E. coli is presented. The feed-back between the data
generated and in silico modeling helps our understanding of the
Escherichia coli expressed phenotype and permits new wet experiments to be
designed to generate data concerning metabolic optimization.
Keywords: Data generation, cell metabolism, reactor pulsing, environmental and genetic perturbations, transcriptome, metabolic model
Journal: In Silico Biology, vol. 7, no. 2 Supplement, pp. 3-16, 2007
