2012.9: Constraining flux balance analysis with genome-scale data
2012.9: Dave Lee, Kieran Smallbone, Warwick B. Dunn, Ettore Murabito, Catherine L. Winder, Douglas B. Kell, Pedro Mendes and Neil Swainston (2012) Constraining flux balance analysis with genome-scale data.
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Background Constraint-based analysis of genome-scale metabolic models typically relies upon maximisation of a cellular objective function such as the rate or efficiency of biomass production. Whilst this assumption may be valid in the case of microorganisms growing under certain conditions, it is likely invalid in general, and especially for multicellular organism such as mammals, where cellular objectives differ greatly both between and within cell types. Moreover, for the purposes of biotechnological applications, it is normally the flux to a specific metabolite or product that is of interest rather than the rate of production of biomass per se.
Results An alternative objective function is presented, that is based upon maximising the correlation between experimentally measured absolute gene expression data and predicted internal reaction fluxes. Using quantitative transcriptomics data acquired from Saccharomyces cerevisiae cultures under two growth conditions, the method outperforms traditional approaches for predicting experimentally measured metabolic flux that are reliant upon maximization of the rate of biomass production.
Conclusion Due to its improved prediction of experimentally measured metabolic fluxes, and of its lack of a requirement for knowledge of the biomass composition of the organism under the conditions of interest, the approach is likely to be of rather general utility. The method has been shown to reliably predict fluxes in single cellular systems, and is likely to be also to generate condition- and tissue-specific flux predictions in multicellular organisms.
|Item Type:||MIMS Preprint|
|Uncontrolled Keywords:||Flux balance analysis, metabolic flux, metabolic networks, transcriptomics, RNA-seq, exometabolomics|
|Subjects:||MSC 2000 > 92 Biology and other natural sciences|
|Deposited By:||Dr Kieran Smallbone|
|Deposited On:||12 January 2012|
Available Versions of this Item
- Improving metabolic flux predictions using absolute gene expression data (deposited 04 December 2012)
- Improving metabolic flux predictions using absolute gene expression data (deposited 17 June 2012)
- Constraining flux balance analysis with genome-scale data (deposited 12 January 2012) [Currently Displayed]