Abstract
Metabolic flux analysis (MFA) is one of the pillars of metabolic engineering. Over the past three decades, it has been widely used to quantify intracellular metabolic fluxes in both native (wild type) and engineered biological systems. Through MFA, changes in metabolic pathway fluxes are quantified that result from genetic and/or environmental interventions. This information, in turn, provides insights into the regulation of metabolic pathways and may suggest new targets for further metabolic engineering of the strains. In this mini-review, we discuss and classify the various methods of MFA that have been developed, which include stoichiometric MFA, 13C metabolic flux analysis, isotopic non-stationary 13C metabolic flux analysis, dynamic metabolic flux analysis, and 13C dynamic metabolic flux analysis. For each method, we discuss key advantages and limitations and conclude by highlighting important recent advances in flux analysis approaches.
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Abbreviations
- MFA:
-
Metabolic flux analysis
- DMFA:
-
Dynamic metabolic flux analysis
- 13C-MFA:
-
13C-metabolic flux analysis
- 13C-DMFA:
-
13C dynamic metabolic flux analysis
- 13C-NMFA:
-
Isotopic non-stationary 13C-metabolic flux analysis
- SSR:
-
Variance-weighted sum of squared residuals
References
Adebiyi AO, Jazmin LJ, Young JD (2014) 13C flux analysis of cyanobacterial metabolism. Photosynth Res
Ahn WS, Antoniewicz MR (2011) Metabolic flux analysis of CHO cells at growth and non-growth phases using isotopic tracers and mass spectrometry. Metab Eng 13(5):598–609
Ahn WS, Antoniewicz MR (2012) Towards dynamic metabolic flux analysis in CHO cell cultures. Biotechnol J 7(1):61–74
Ahn WS, Antoniewicz MR (2013) Parallel labeling experiments with [1,2-(13)C]glucose and [U-(13)C]glutamine provide new insights into CHO cell metabolism. Metab Eng 15:34–47
Antoniewicz MR (2013) 13C metabolic flux analysis: optimal design of isotopic labeling experiments. Curr Opin Biotechnol 24(6):1116–1121
Antoniewicz MR (2013) Dynamic metabolic flux analysis—tools for probing transient states of metabolic networks. Curr Opin Biotechnol 24(6):973–978
Antoniewicz MR (2013) Tandem mass spectrometry for measuring stable-isotope labeling. Curr Opin Biotechnol 24(1):48–53
Antoniewicz MR, Kelleher JK, Stephanopoulos G (2006) Determination of confidence intervals of metabolic fluxes estimated from stable isotope measurements. Metab Eng 8(4):324–337
Antoniewicz MR, Kelleher JK, Stephanopoulos G (2007) Accurate assessment of amino acid mass isotopomer distributions for metabolic flux analysis. Anal Chem 79(19):7554–7559
Antoniewicz MR, Kelleher JK, Stephanopoulos G (2007) Elementary metabolite units (EMU): a novel framework for modeling isotopic distributions. Metab Eng 9(1):68–86
Antoniewicz MR, Kelleher JK, Stephanopoulos G (2011) Measuring deuterium enrichment of glucose hydrogen atoms by gas chromatography/mass spectrometry. Anal Chem 83(8):3211–3216
Antoniewicz MR, Kraynie DF, Laffend LA, Gonzalez-Lergier J, Kelleher JK, Stephanopoulos G (2007) Metabolic flux analysis in a nonstationary system: fed-batch fermentation of a high yielding strain of E. coli producing 1,3-propanediol. Metab Eng 9(3):277–292
Au J, Choi J, Jones SW, Venkataramanan KP, Antoniewicz MR (2014) Parallel labeling experiments validate Clostridium acetobutylicum metabolic network model for C metabolic flux analysis. Metab Eng 26:23–33
Beste DJV, Bonde B, Hawkins N, Ward JL, Beale MH, Noack S, Nöh K, Kruger NJ, Ratcliffe RG, McFadden J (2011) 13C Metabolic flux Analysis identifies an unusual route for pyruvate dissimilation in Mycobacteria which requires isocitrate lyase and carbon dioxide fixation. PLoS Pathog 7(7):e1002091–e1002091
Bonarius HP, Hatzimanikatis V, Meesters KP, de Gooijer CD, Schmid G, Tramper J (1996) Metabolic flux analysis of hybridoma cells in different culture media using mass balances. Biotechnol Bioeng 50(3):299–318
Bonarius HP, Timmerarends B, de Gooijer CD, Tramper J (1998) Metabolite-balancing techniques vs. 13C tracer experiments to determine metabolic fluxes in hybridoma cells. Biotechnol Bioeng 58(2–3):258–262
Choi J, Antoniewicz MR (2011) Tandem mass spectrometry: a novel approach for metabolic flux analysis. Metab Eng 13(2):225–233
Choi J, Grossbach MT, Antoniewicz MR (2012) Measuring complete isotopomer distribution of aspartate using gas chromatography/tandem mass spectrometry. Anal Chem 84(10):4628–4632
Christensen B, Nielsen J (2000) Metabolic network analysis of Penicillium chrysogenum using (13)C-labeled glucose. Biotechnol Bioeng 68(6):652–659
Crown SB, Ahn WS, Antoniewicz MR (2012) Rational design of (13)C-labeling experiments for metabolic flux analysis in mammalian cells. BMC Syst Biol 6:43
Crown SB, Antoniewicz MR (2012) Selection of tracers for 13C-metabolic flux analysis using elementary metabolite units (EMU) basis vector methodology. Metab Eng 14(2):150–161
Crown SB, Antoniewicz MR (2013) Parallel labeling experiments and metabolic flux analysis: past, present and future methodologies. Metab Eng 16:21–32
Crown SB, Antoniewicz MR (2013) Publishing 13C metabolic flux analysis studies: a review and future perspectives. Metab Eng 20:42–48
Crown SB, Antoniewicz MR (2015) Integrated 13C-metabolic flux analysis of 14 parallel labeling experiments in Escherichia coli. Metab Eng. doi:10.1016/j.ymben.2015.01.001
Crown SB, Indurthi DC, Ahn WS, Choi J, Papoutsakis ET, Antoniewicz MR (2011) Resolving the TCA cycle and pentose-phosphate pathway of Clostridium acetobutylicum ATCC 824: isotopomer analysis, in vitro activities and expression analysis. Biotechnol J 6(3):300–305
Dauner M, Sauer U (2000) GC-MS analysis of amino acids rapidly provides rich information for isotopomer balancing. Biotechnol Prog 16(4):642–649
Feist AM, Palsson BO (2010) The biomass objective function. Curr Opin Microbiol 13(3):344–349
He L, Xiao Y, Gebreselassie N, Zhang F, Antoniewicz MR, Tang YJ, Peng L (2014) Central metabolic responses to the overproduction of fatty acids in Escherichia coli based on 13C-metabolic flux analysis. Biotechnol Bioeng 111(3):575–585
Hiller K, Metallo CM (2013) Profiling metabolic networks to study cancer metabolism. Curr Opin Biotechnol 24(1):60–68
Hofmann U, Maier K, Nicbel A, Vacun G, Reuss M, Mauch K (2008) Identification of metabolic fluxes in hepatic cells from transient C-13-labeling experiments: part I. Experimental observations. Biotechnol Bioeng 100(2):344–354
Jeffrey FMH, Roach JS, Storey CJ, Sherry AD, Malloy CR (2002) C-13 isotopomer analysis of glutamate by tandem mass spectrometry. Anal Biochem 300(2):192–205
Junker BH (2014) Flux analysis in plant metabolic networks: increasing throughput and coverage. Curr Opin Biotechnol 26:183–188
Kelleher JK, Masterson TM (1992) Model equations for condensation biosynthesis using stable isotopes and radioisotopes. The Am J Physiol 262(1 Pt 1):E118–E125
Kiefer P, Nicolas C, Letisse F, Portais J-C (2007) Determination of carbon labeling distribution of intracellular metabolites from single fragment ions by ion chromatography tandem mass spectrometry. Anal Biochem 360(2):182–188
Klapa MI, Aon J-C, Stephanopoulos G (2003) Systematic quantification of complex metabolic flux networks using stable isotopes and mass spectrometry. Eur J Biochem/FEBS 270(17):3525–3542
Kohlstedt M, Becker J, Wittmann C (2010) Metabolic fluxes and beyond-systems biology understanding and engineering of microbial metabolism. Appl Microbiol Biotechnol 88(5):1065–1075
Kruger NJ, Masakapalli SK, Ratcliffe RG (2012) Strategies for investigating the plant metabolic network with steady-state metabolic flux analysis: lessons from an Arabidopsis cell culture and other systems. J Exp Bot 63(6):2309–2323
Leighty RW, Antoniewicz MR (2011) Dynamic metabolic flux analysis (DMFA): a framework for determining fluxes at metabolic non-steady state. Metab Eng 13(6):745–755
Leighty RW, Antoniewicz MR (2012) Parallel labeling experiments with [U-13C]glucose validate E. coli metabolic network model for 13C metabolic flux analysis. Metab Eng 14(5):533–541
Leighty RW, Antoniewicz MR (2013) COMPLETE-MFA: complementary parallel labeling experiments technique for metabolic flux analysis. Metab Eng 20:49–55
Lequeux G, Beauprez J, Maertens J, Van Horen E, Soetaert W, Vandamme E, Vanrolleghem PA (2010) Dynamic metabolic flux analysis demonstrated on cultures where the limiting substrate is changed from carbon to nitrogen and vice versa. J Biomed Biotechnol 2010
Lewis CA, Parker SJ, Fiske BP, McCloskey D, Gui DY, Green CR, Vokes NI, Feist AM, Vander Heiden MG, Metallo CM (2014) Tracing compartmentalized NADPH metabolism in the cytosol and mitochondria of mammalian cells. Mol Cell 55(2):253–263
Llaneras F, Picó J (2007) A procedure for the estimation over time of metabolic fluxes in scenarios where measurements are uncertain and/or insufficient. BMC Bioinform 8:421
Long CP, Antoniewicz MR (2014) Metabolic flux analysis of Escherichia coli knockouts: lessons from the Keio collection and future outlook. Curr Opin Biotechnol 28:127–133
Long CP, Antoniewicz MR (2014) Quantifying biomass composition by gas chromatography/mass spectrometry. Anal Chem 86(19):9423–9427
Ma F, Jazmin LJ, Young JD, Allen DK (2014) Isotopically nonstationary 13C flux analysis of changes in Arabidopsis thaliana leaf metabolism due to high light acclimation. Proc Natl Acad Sci USA 111(47):16967–16972
Maier K, Hofmann U, Reuss M, Mauch K (2008) Identification of metabolic fluxes in hepatic cells from transient C-13-labeling experiments: part II. Flux estimation. Biotechnol Bioeng 100(2):355–370
Marx A, Eikmanns BJ, Sahm H, de Graaf AA, Eggeling L (1999) Response of the central metabolism in Corynebacterium glutamicum to the use of an NADH-dependent glutamate dehydrogenase. Metab Eng 1(1):35–48
Moxley JF, Jewett MC, Antoniewicz MR, Villas-Boas SG, Alper H, Wheeler RT, Tong L, Hinnebusch AG, Ideker T, Nielsen J, Stephanopoulos G (2009) Linking high-resolution metabolic flux phenotypes and transcriptional regulation in yeast modulated by the global regulator Gcn4p. Proc Natl Acad Sci USA 106(16):6477–6482
Mueller D, Heinzle E (2013) Stable isotope-assisted metabolomics to detect metabolic flux changes in mammalian cell cultures. Curr Opin Biotechnol 24(1):54–59
Murphy TA, Dang CV, Young JD (2013) Isotopically nonstationary 13C flux analysis of Myc-induced metabolic reprogramming in B-cells. Metab Eng 15:206–217
Murphy TA, Young JD (2013) ETA: robust software for determination of cell specific rates from extracellular time courses. Biotechnol Bioeng 110(6):1748–1758
Nakajima T, Kajihata S, Yoshikawa K, Matsuda F, Furusawa C, Hirasawa T, Shimizu H (2014) Integrated metabolic flux and omics analysis of Synechocystis sp. PCC 6803 under mixotrophic and photoheterotrophic conditions. Plant Cell Physiol 55(9):1605–1612
Nargund S, Misra A, Zhang X, Coleman GD, Sriram G (2014) Flux and reflux: metabolite reflux in plant suspension cells and its implications for isotope-assisted metabolic flux analysis. Mol Biosyst 10(6):1496–1508
Niklas J, Schneider K, Heinzle E (2010) Metabolic flux analysis in eukaryotes. Curr Opin Biotechnol 21(1):63–69
Niklas J, Schräder E, Sandig V, Noll T, Heinzle E (2011) Quantitative characterization of metabolism and metabolic shifts during growth of the new human cell line AGE1.HN using time resolved metabolic flux analysis. Bioprocess Biosyst Eng 34(5):533–545
Noack S, Noh K, Moch M, Oldiges M, Wiechert W (2011) Stationary versus non-stationary (13)C-MFA: a comparison using a consistent dataset. J Biotechnol 154(2–3):179–190
Noh K, Wahl A, Wiechert W (2006) Computational tools for isotopically instationary 13C labeling experiments under metabolic steady state conditions. Metab Eng 8(6):554–577
Nyberg GB, Balcarcel RR, Follstad BD, Stephanopoulos G, Wang DIC (1999) Metabolism of peptide amino acids by Chinese hamster ovary cells grown in a complex medium. Biotechnol Bioeng 62(3):324–335
Orth JD, Thiele I, Palsson BO (2010) What is flux balance analysis? Nat Biotechnol 28(3):245–248
Provost A, Bastin G (2004) Dynamic metabolic modelling under the balanced growth condition. J Process Control 14(7):717–728
Quek L-E, Wittmann C, Nielsen L, Kromer J (2009) OpenFLUX: efficient modelling software for 13C-based metabolic flux analysis. Microb Cell Fact 8(1):25
Quek LE, Dietmair S, Kromer JO, Nielsen LK (2010) Metabolic flux analysis in mammalian cell culture. Metab Eng 12(2):161–171
Schmidt K, Carlsen M, Nielsen J, Villadsen J (1997) Modeling isotopomer distributions in biochemical networks using isotopomer mapping matrices. Biotechnol Bioeng 55(6):831–840
Schmidt K, Marx A, de Graaf AA, Wiechert W, Sahm H, Nielsen J, Villadsen J (1998) 13C tracer experiments and metabolite balancing for metabolic flux analysis: comparing two approaches. Biotechnol Bioeng 58(2–3):254–257
Sengupta N, Rose ST, Morgan JA (2011) Metabolic flux analysis of CHO cell metabolism in the late non-growth phase. Biotechnol Bioeng 108(1):82–92
Shachar-Hill Y (2013) Metabolic network flux analysis for engineering plant systems. Curr Opin Biotechnol 24(2):247–255
Sriram G, Fulton DB, Iyer VV, Peterson JM, Zhou R, Westgate ME, Spalding MH, Shanks JV (2004) Quantification of compartmented metabolic fluxes in developing soybean embryos by employing biosynthetically directed fractional (13)C labeling, two-dimensional [(13)C, (1)H] nuclear magnetic resonance, and comprehensive isotopomer balancing. Plant Physiol 136(2):3043–3057
Sriram G, Fulton DB, Shanks JV (2007) Flux quantification in central carbon metabolism of Catharanthus roseus hairy roots by 13C labeling and comprehensive bondomer balancing. Phytochemistry 68(16–18):2243–2257
Stephanopoulos G (1999) Metabolic fluxes and metabolic engineering. Metab Eng 1(1):1–11
Swarup A, Lu J, DeWoody KC, Antoniewicz MR (2014) Metabolic network reconstruction, growth characterization and 13C-metabolic flux analysis of the extremophile Thermus thermophilus HB8. Metab Eng 24:173–180
Szyperski T (1995) Biosynthetically directed fractional 13C-labeling of proteinogenic amino acids. An efficient analytical tool to investigate intermediary metabolism. Eur J Biochem/FEBS. 232(2):433–448
Tang YJ, Martin HG, Myers S, Rodriguez S, Baidoo EE, Keasling JD (2009) Advances in analysis of microbial metabolic fluxes via (13)C isotopic labeling. Mass Spectrom Rev 28(2):362–375
Tang YJ, Sapra R, Joyner D, Hazen TC, Myers S, Reichmuth D, Blanch H, Keasling JD (2009) Analysis of metabolic pathways and fluxes in a newly discovered thermophilic and ethanol-tolerant Geobacillus strain. Biotechnol Bioeng 102(5):1377–1386
Toya Y, Shimizu H (2013) Flux analysis and metabolomics for systematic metabolic engineering of microorganisms. Biotechnol Adv 31(6):818–826
van Winden WA, Heijnen JJ, Verheijen PJT (2002) Cumulative bondomers: a new concept in flux analysis from 2D [13C,1H] COSY NMR data. Biotechnol Bioeng 80(7):731–745
vanGulik WM, Antoniewicz MR, deLaat WT, Vinke JL, Heijnen JJ (2001) Energetics of growth and penicillin production in a high-producing strain of Penicillium chrysogenum. Biotechnol Bioeng 72(2):185–193
Varman AM, He L, You L, Hollinshead W, Tang YJ (2014) Elucidation of intrinsic biosynthesis yields using 13C-based metabolism analysis. Microb Cell Fact 13(1):42
Wahrheit J, Nicolae A, Heinzle E (2011) Eukaryotic metabolism: measuring compartment fluxes. Biotechnol J 6(9):1071–1085
Walther JL, Metallo CM, Zhang J, Stephanopoulos G (2012) Optimization of 13C isotopic tracers for metabolic flux analysis in mammalian cells. Metab Eng 14(2):162–171
Weitzel M, Noh K, Dalman T, Niedenfuhr S, Stute B, Wiechert W (2013) 13CFLUX2—high-performance software suite for 13C-metabolic flux analysis. Bioinformatics 29(1):143–145
Wiechert W (2001) C-13 metabolic flux analysis. Metab Eng 3(3):195–206
Wiechert W, Mollney M, Isermann N, Wurzel W, de Graaf AA (1999) Bidirectional reaction steps in metabolic networks: III. Explicit solution and analysis of isotopomer labeling systems. Biotechnol Bioeng 66(2):69–85
Wiechert W, Noh K (2013) Isotopically non-stationary metabolic flux analysis: complex yet highly informative. Curr Opin Biotechnol 24(6):979–986
Wiechert W, Nöh K (2005) From stationary to instationary metabolic flux analysis. Adv Biochem Eng Biotechnol 92:145–172
Yang J, Wongsa S, Kadirkamanathan V, Billings SA, Wright PC (2005) Metabolic flux distribution analysis by 13C-tracer experiments using the Markov chain-Monte Carlo method. Biochem Soc Trans 33(Pt 6):1421–1422
Yoo H, Antoniewicz MR, Stephanopoulos G, Kelleher JK (2008) Quantifying reductive carboxylation flux of glutamine to lipid in a brown adipocyte cell line. J Biol Chem 283(30):20621–20627
You L, Berla B, He L, Pakrasi HB, Tang YJ (2014) 13C-MFA delineates the photomixotrophic metabolism of Synechocystis sp. PCC 6803 under light- and carbon-sufficient conditions. Biotechnol J 9(5):684–692
Young JD (2013) Metabolic flux rewiring in mammalian cell cultures. Curr Opin Biotechnol 24(6):1108–1115
Young JD (2014) INCA: a computational platform for isotopically non-stationary metabolic flux analysis. Bioinformatics 30(9):1333–1335
Young JD, Shastri AA, Stephanopoulos G, Morgan JA (2011) Mapping photoautotrophic metabolism with isotopically nonstationary (13)C flux analysis. Metab Eng 13(6):656–665
Young JD, Walther JL, Antoniewicz MR, Yoo H, Stephanopoulos G (2008) An elementary metabolite unit (EMU) based method of isotopically nonstationary flux analysis. Biotechnol Bioeng 99(3):686–699
Zamboni N (2010) 13C metabolic flux analysis in complex systems. Curr Opin Biotechnol 22(1):103–108
Zhang Z, Shen T, Rui B, Zhou W, Zhou X, Shang C, Xin C, Liu X, Li G, Jiang J, Li C, Li R, Han M, You S, Yu G, Yi Y, Wen H, Liu Z, Xie X (2014) CeCaFDB: a curated database for the documentation, visualization and comparative analysis of central carbon metabolic flux distributions explored by 13C-fluxomics. Nucleic Acids Res
Zupke C, Stephanopoulos G (1994) Modeling of isotope distributions and intracellular fluxes in metabolic networks using atom mapping matrices. Biotechnol Prog 10(5):489–498
Zupke C, Stephanopoulos G (1995) Intracellular flux analysis in hybridomas using mass balances and in vitro13C nmr. Biotechnol Bioeng 45(4):292–303
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This work was supported by NSF MCB-1120684 grant.
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Special Issue: Metabolic Engineering.
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Antoniewicz, M.R. Methods and advances in metabolic flux analysis: a mini-review. J Ind Microbiol Biotechnol 42, 317–325 (2015). https://doi.org/10.1007/s10295-015-1585-x
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DOI: https://doi.org/10.1007/s10295-015-1585-x