Metabolic flux analysis reaching genome wide coverage: lessons learned and future perspectives

John I. Hendry, Hoang V. Dinh, Charles Foster, Saratram Gopalakrishnan, Lin Wang, Costas D. Maranas

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations

Abstract

13C-MFA is currently the only technique capable of elucidating intracellular metabolic fluxes. Generally, in 13C-MFA studies the reactions that can carry flux are mostly pre-specified by only considering canonical pathways and ignoring alternate ones. This may bias flux elucidation and cause labeling data to erroneously confirm implied assumptions. By expanding the scope of the metabolic mapping models to match known genome-scale metabolism such estimation biases can be eliminated. However, this model expansion to genome-scale requires the construction of expanded atom mapping models, more efficient flux estimation algorithms, and formal estimation of confidence levels. Even though significant progress has been made in this direction, a number of challenges remain before widespread adoption by the community.

Original languageEnglish (US)
Pages (from-to)17-25
Number of pages9
JournalCurrent Opinion in Chemical Engineering
Volume30
DOIs
StatePublished - Dec 2020

All Science Journal Classification (ASJC) codes

  • Energy(all)

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