Kinetics of 14C-labelled sucrose, myo-inositol and phosphatidylcholine uptake during induction and differentiation in Brassica napus callus culture

Żur, Iwona; Skoczowski, Andrzej; Pienkowski, S.; Dubert, F.

doi:10.1007/s11738-002-0016-6

Cited by 3 publications

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Computational Prediction of Essential Metabolic Genes Using Constraint-Based Approaches

Basler

2015

Gene Essentiality

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In this chapter, we describe the application of constraint-based modeling to predict the impact of gene deletions on a metabolic phenotype. The metabolic reactions taking place inside cells form large networks, which have been reconstructed at a genome-scale for several organisms at increasing levels of detail. By integrating mathematical modeling techniques with biochemical principles, constraint-based approaches enable predictions of metabolite fluxes and growth under specific environmental conditions or for genetically modified microorganisms. Similar to the experimental knockout of a gene, predicting the essentiality of a metabolic gene for a phenotype further allows to generate hypotheses on its biological function and design of genetic engineering strategies for biotechnological applications. Here, we summarize the principles of constraint-based approaches and provide a detailed description of the procedure to predict the essentiality of metabolic genes with respect to a specific metabolic function. We exemplify the approach by predicting the essentiality of reactions in the citric acid cycle for the production of glucose from fatty acids.

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