Customization of 13C-MFA Strategy According to Cell Culture System

Quek, Lake-Ee and Nielsen, Lars K. (2014). Customization of 13C-MFA Strategy According to Cell Culture System. In Jens O. Kromer, Lars K. Nielsen and Lars M. Blank (Ed.), Metabolic Flux Analysis: Methods and Protocols (pp. 81-90) New York, NY United States: Humana Press. doi:10.1007/978-1-4939-1170-7_5


Author Quek, Lake-Ee
Nielsen, Lars K.
Title of chapter Customization of 13C-MFA Strategy According to Cell Culture System
Formatted title
Customization of 13C-MFA Strategy According to Cell Culture System
Title of book Metabolic Flux Analysis: Methods and Protocols
Place of Publication New York, NY United States
Publisher Humana Press
Publication Year 2014
Sub-type Research book chapter (original research)
DOI 10.1007/978-1-4939-1170-7_5
Open Access Status
Year available 2014
Series Methods in Molecular Biology
ISBN 9781493911707
9781493911691
ISSN 1064-3745
1940-6029
Editor Jens O. Kromer
Lars K. Nielsen
Lars M. Blank
Volume number 1191
Chapter number 5
Start page 81
End page 90
Total pages 10
Total chapters 17
Collection year 2015
Language eng
Formatted Abstract/Summary
13C-MFA is far from being a simple assay for quantifying metabolic activity. It requires considerable up-front experimental planning and familiarity with the cell culture system in question, as well as optimized analytics and adequate computation frameworks. The success of a 13C-MFA experiment is ultimately rated by the ability to accurately quantify the flux of one or more reactions of interest. In this chapter, we describe the different 13C-MFA strategies that have been developed for the various fermentation or cell culture systems, as well as the limitations of the respective strategies. The strategies are affected by many factors and the 13C-MFA modeling and experimental strategy must be tailored to conditions. The prevailing philosophy in the computation process is that any metabolic processes that produce significant systematic bias in the labeling pattern of the metabolites being measured must be described in the model. It is equally important to plan a labeling strategy by analytical screening or by heuristics.
Keyword Metabolic flux
Steady state
Nonlinear optimization
Q-Index Code BX
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Mon, 09 Feb 2015, 11:26:50 EST by Cathy Fouhy on behalf of Aust Institute for Bioengineering & Nanotechnology