Abstract
Isotope-based metabolic flux analysis is one of the emerging technologies applied to system level metabolic phenotype characterization in metabolic engineering. Among the developed approaches, 13C-based metabolic flux analysis has been established as a standard tool and has been widely applied to quantitative pathway characterization of diverse biological systems. To implement 13C-based metabolic flux analysis in practice, comprehending the underlying mathematical and computational modeling fundamentals is of importance along with carefully conducted experiments and analytical measurements. Such knowledge is also crucial when designing 13C-labeling experiments and properly acquiring key data sets essential for in vivo flux analysis implementation.
In this regard, the modeling fundamentals of 13C-labeling systems and analytical data processing are the main topics we will deal with in this chapter. Along with this, the relevant numerical optimization techniques are addressed to help implementation of the entire computational procedures aiming at 13C-based metabolic flux analysis in vivo.
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Yang, T.H. (2013). 13C-Based Metabolic Flux Analysis: Fundamentals and Practice. In: Alper, H. (eds) Systems Metabolic Engineering. Methods in Molecular Biology, vol 985. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-299-5_15
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DOI: https://doi.org/10.1007/978-1-62703-299-5_15
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