Steady-State 13C Fluxomics Using OpenFLUX

Quek, Lake-Ee and Nielsen, Lars K. (2014). Steady-State 13C Fluxomics Using OpenFLUX. In Jens O. Kromer, Lars K. Nielsen and Lars M. Blank (Ed.), Metabolic Flux Analysis: Methods and Protocols (pp. 209-224) New York, NY United States: Humana Press. doi:10.1007/978-1-4939-1170-7_13

Author Quek, Lake-Ee
Nielsen, Lars K.
Title of chapter Steady-State 13C Fluxomics Using OpenFLUX
Formatted title
Steady-State 13C Fluxomics Using OpenFLUX
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_13
Open Access Status
Year available 2014
Series Methods in Molecular Biology
ISBN 9781493911707
ISSN 1064-3745
Editor Jens O. Kromer
Lars K. Nielsen
Lars M. Blank
Volume number 1191
Chapter number 13
Start page 209
End page 224
Total pages 16
Total chapters 17
Collection year 2015
Language eng
Formatted Abstract/Summary
Metabolic flux estimation using 13C isotopic tracers (13C-MFA) provides a greater resolution of intracellular fluxes than using only cell growth and consumption/production rates. However, 13C-MFA is computationally more demanding. A nonlinear least-square optimization process is employed to constrain metabolic fluxes using atom balance models and experimentally measured 13C labelling pattern of intracellular or proteinogenic metabolites. OpenFLUX was therefore developed for the purpose of streamlining the computational workflow. Here, we describe in detail the computational procedure for performing 13C-MFA using OpenFLUX. We also provide some helpful information on model reconstruction and GC-MS data treatment.
Q-Index Code BX
Q-Index Status Confirmed Code
Institutional Status UQ

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Created: Mon, 09 Feb 2015, 11:24:29 EST by Cathy Fouhy on behalf of Aust Institute for Bioengineering & Nanotechnology