Literature DB >> 23246523

Parallel labeling experiments and metabolic flux analysis: Past, present and future methodologies.

Scott B Crown1, Maciek R Antoniewicz.   

Abstract

Radioactive and stable isotopes have been applied for decades to elucidate metabolic pathways and quantify carbon flow in cellular systems using mass and isotope balancing approaches. Isotope-labeling experiments can be conducted as a single tracer experiment, or as parallel labeling experiments. In the latter case, several experiments are performed under identical conditions except for the choice of substrate labeling. In this review, we highlight robust approaches for probing metabolism and addressing metabolically related questions though parallel labeling experiments. In the first part, we provide a brief historical perspective on parallel labeling experiments, from the early metabolic studies when radioisotopes were predominant to present-day applications based on stable-isotopes. We also elaborate on important technical and theoretical advances that have facilitated the transition from radioisotopes to stable-isotopes. In the second part of the review, we focus on parallel labeling experiments for (13)C-metabolic flux analysis ((13)C-MFA). Parallel experiments offer several advantages that include: tailoring experiments to resolve specific fluxes with high precision; reducing the length of labeling experiments by introducing multiple entry-points of isotopes; validating biochemical network models; and improving the performance of (13)C-MFA in systems where the number of measurements is limited. We conclude by discussing some challenges facing the use of parallel labeling experiments for (13)C-MFA and highlight the need to address issues related to biological variability, data integration, and rational tracer selection.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23246523      PMCID: PMC6474253          DOI: 10.1016/j.ymben.2012.11.010

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


  30 in total

Review 1.  Metabolic flux analysis of Escherichia coli knockouts: lessons from the Keio collection and future outlook.

Authors:  Christopher P Long; Maciek R Antoniewicz
Journal:  Curr Opin Biotechnol       Date:  2014-03-28       Impact factor: 9.740

Review 2.  Publishing 13C metabolic flux analysis studies: a review and future perspectives.

Authors:  Scott B Crown; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2013-09-08       Impact factor: 9.783

3.  Central metabolic responses to the overproduction of fatty acids in Escherichia coli based on 13C-metabolic flux analysis.

Authors:  Lian He; Yi Xiao; Nikodimos Gebreselassie; Fuzhong Zhang; Maciek R Antoniewiez; Yinjie J Tang; Lifeng Peng
Journal:  Biotechnol Bioeng       Date:  2014-03       Impact factor: 4.530

4.  Co-utilization of glucose and xylose by evolved Thermus thermophilus LC113 strain elucidated by (13)C metabolic flux analysis and whole genome sequencing.

Authors:  Lauren T Cordova; Jing Lu; Robert M Cipolla; Nicholas R Sandoval; Christopher P Long; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2016-05-07       Impact factor: 9.783

Review 5.  Methods and advances in metabolic flux analysis: a mini-review.

Authors:  Maciek R Antoniewicz
Journal:  J Ind Microbiol Biotechnol       Date:  2015-01-23       Impact factor: 3.346

6.  Comprehensive metabolic modeling of multiple 13C-isotopomer data sets to study metabolism in perfused working hearts.

Authors:  Scott B Crown; Joanne K Kelleher; Rosanne Rouf; Deborah M Muoio; Maciek R Antoniewicz
Journal:  Am J Physiol Heart Circ Physiol       Date:  2016-08-05       Impact factor: 4.733

7.  Complete genome sequence, metabolic model construction and phenotypic characterization of Geobacillus LC300, an extremely thermophilic, fast growing, xylose-utilizing bacterium.

Authors:  Lauren T Cordova; Christopher P Long; Keerthi P Venkataramanan; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2015-09-21       Impact factor: 9.783

8.  Evidence for transketolase-like TKTL1 flux in CHO cells based on parallel labeling experiments and (13)C-metabolic flux analysis.

Authors:  Woo Suk Ahn; Scott B Crown; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2016-05-10       Impact factor: 9.783

Review 9.  A roadmap for interpreting (13)C metabolite labeling patterns from cells.

Authors:  Joerg M Buescher; Maciek R Antoniewicz; Laszlo G Boros; Shawn C Burgess; Henri Brunengraber; Clary B Clish; Ralph J DeBerardinis; Olivier Feron; Christian Frezza; Bart Ghesquiere; Eyal Gottlieb; Karsten Hiller; Russell G Jones; Jurre J Kamphorst; Richard G Kibbey; Alec C Kimmelman; Jason W Locasale; Sophia Y Lunt; Oliver D K Maddocks; Craig Malloy; Christian M Metallo; Emmanuelle J Meuillet; Joshua Munger; Katharina Nöh; Joshua D Rabinowitz; Markus Ralser; Uwe Sauer; Gregory Stephanopoulos; Julie St-Pierre; Daniel A Tennant; Christoph Wittmann; Matthew G Vander Heiden; Alexei Vazquez; Karen Vousden; Jamey D Young; Nicola Zamboni; Sarah-Maria Fendt
Journal:  Curr Opin Biotechnol       Date:  2015-02-28       Impact factor: 9.740

10.  (13)C-metabolic flux analysis of co-cultures: A novel approach.

Authors:  Nikodimos A Gebreselassie; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2015-07-26       Impact factor: 9.783

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