Literature DB >> 24025367

Publishing 13C metabolic flux analysis studies: a review and future perspectives.

Scott B Crown1, Maciek R Antoniewicz.   

Abstract

(13)C-Metabolic flux analysis ((13)C-MFA) is a powerful model-based analysis technique for determining intracellular metabolic fluxes in living cells. It has become a standard tool in many labs for quantifying cell physiology, e.g., in metabolic engineering, systems biology, biotechnology, and biomedical research. With the increasing number of (13)C-MFA studies published each year, it is now ever more important to provide practical guidelines for performing and publishing (13)C-MFA studies so that quality is not sacrificed as the number of publications increases. The main purpose of this paper is to provide an overview of good practices in (13)C-MFA, which can eventually be used as minimum data standards for publishing (13)C-MFA studies. The motivation for this work is two-fold: (1) currently, there is no general consensus among researchers and journal editors as to what minimum data standards should be required for publishing (13)C-MFA studies; as a result, there are great discrepancies in terms of quality and consistency; and (2) there is a growing number of studies that cannot be reproduced or verified independently due to incomplete information provided in these publications. This creates confusion, e.g. when trying to reconcile conflicting results, and hinders progress in the field. Here, we review current status in the (13)C-MFA field and highlight some of the shortcomings with regards to (13)C-MFA publications. We then propose a checklist that encompasses good practices in (13)C-MFA. We hope that these guidelines will be a valuable resource for the community and allow (13)C-flux studies to be more easily reproduced and accessed by others in the future.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  B&B; Biotechnology and Bioengineering; Fluxomics; GC; Good practices in (13)C-MFA; MBE; MFA; MS; Metabolic Engineering; Metabolism; Minimum data standards; NMR; SSR; Stable isotopes; gas chromatography; mass spectrometry; metabolic flux analysis; nuclear magnetic resonance; sum of squared residuals

Mesh:

Substances:

Year:  2013        PMID: 24025367      PMCID: PMC5866723          DOI: 10.1016/j.ymben.2013.08.005

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


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