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A systems approach reveals distinct metabolic strategies among the NCI-60 cancer cell lines

Fig 1

Metabolic models provide a context for the analysis of metabolomic data.

A 1. The refinement step denotes the addition of transport and exchange reactions to enable the uptake and secretion of the metabolites detected in the metabolomic profiles of the NCI-60 cell lines [15]. 2. The condition-specific cell line models were generated using minExCard. In total, 120 models (NCI-60 multiplied by 2) were generated from published metabolomic data and the extended metabolic model. 3. The models were analyzed using a set of computational methods. Based on the computational results, the models were divided into different metabolic phenotypes, and drug targets were predicted for each individual model. The approach is applicable to a variety of biomedical applications. An analysis of tumor or patient-specific omics data could be used to stratify disease phenotypes and to predict personalized disease intervention strategies. B Differences in the number of reactions, metabolites, and genes across a large set of models. C Distribution of the number of reactions, metabolites, genes, and exchange reactions among the 120 cell line models.

Fig 1

doi: https://doi.org/10.1371/journal.pcbi.1005698.g001