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Metabolic flux analysis information


Metabolic flux analysis (MFA) is an experimental fluxomics technique used to examine production and consumption rates of metabolites in a biological system. At an intracellular level, it allows for the quantification of metabolic fluxes, thereby elucidating the central metabolism of the cell.[1] Various methods of MFA, including isotopically stationary metabolic flux analysis, isotopically non-stationary metabolic flux analysis, and thermodynamics-based metabolic flux analysis, can be coupled with stoichiometric models of metabolism and mass spectrometry methods with isotopic mass resolution to elucidate the transfer of moieties containing isotopic tracers from one metabolite into another and derive information about the metabolic network. Metabolic flux analysis (MFA) has many applications such as determining the limits on the ability of a biological system to produce a biochemical such as ethanol,[2] predicting the response to gene knockout,[3][4] and guiding the identification of bottleneck enzymes in metabolic networks for metabolic engineering efforts.[5]

Example of metabolic flux map for metabolic pathways of astrocytes and neurons.

Metabolic flux analysis may use 13C-labeled isotope tracers for isotopic labeling experiments. Nuclear magnetic resonance (NMR) techniques and mass spectrometry may then be used to measure metabolite labeling patterns to provide information for determination of pathway fluxes.[6][1][7] Because MFA typically requires rigorous flux calculation of complex metabolic networks, publicly available software tools have been developed to automate MFA and reduce its computational burden.

  1. ^ a b Wiechert W (July 2001). "13C metabolic flux analysis". Metabolic Engineering. 3 (3): 195–206. doi:10.1006/mben.2001.0187. PMID 11461141.
  2. ^ Papoutsakis ET, Meyer CL (January 1985). "Equations and calculations of product yields and preferred pathways for butanediol and mixed-acid fermentations". Biotechnology and Bioengineering. 27 (1): 50–66. doi:10.1002/bit.260270108. PMID 18553576. S2CID 41031084.
  3. ^ Burgard AP, Maranas CD (September 2001). "Probing the performance limits of the Escherichia coli metabolic network subject to gene additions or deletions". Biotechnology and Bioengineering. 74 (5): 364–375. doi:10.1002/bit.1127. PMID 11427938.
  4. ^ Henry CS, Broadbelt LJ, Hatzimanikatis V (March 2007). "Thermodynamics-based metabolic flux analysis". Biophysical Journal. 92 (5): 1792–1805. Bibcode:2007BpJ....92.1792H. doi:10.1529/biophysj.106.093138. PMC 1796839. PMID 17172310.
  5. ^ Antoniewicz MR (January 2021). "A guide to metabolic flux analysis in metabolic engineering: Methods, tools and applications". Metabolic Engineering. Tools and Strategies of Metabolic Engineering. 63: 2–12. doi:10.1016/j.ymben.2020.11.002. ISSN 1096-7176. PMID 33157225. S2CID 226276199.
  6. ^ Zamboni N, Fendt SM, Rühl M, Sauer U (2009-06-21). "(13)C-based metabolic flux analysis". Nature Protocols. 4 (6): 878–892. doi:10.1038/nprot.2009.58. PMID 19478804. S2CID 6731942.
  7. ^ Zamboni N (February 2011). "13C metabolic flux analysis in complex systems". Current Opinion in Biotechnology. 22 (1): 103–108. doi:10.1016/j.copbio.2010.08.009. PMID 20833526.

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