Literature DB >> 26322734

Parallel labeling experiments for pathway elucidation and (13)C metabolic flux analysis.

Maciek R Antoniewicz1.   

Abstract

Metabolic pathway models provide the foundation for quantitative studies of cellular physiology through the measurement of intracellular metabolic fluxes. For model organisms metabolic models are well established, with many manually curated genome-scale model reconstructions, gene knockout studies and stable-isotope tracing studies. However, for non-model organisms a similar level of knowledge is often lacking. Compartmentation of cellular metabolism in eukaryotic systems also presents significant challenges for quantitative (13)C-metabolic flux analysis ((13)C-MFA). Recently, innovative (13)C-MFA approaches have been developed based on parallel labeling experiments, the use of multiple isotopic tracers and integrated data analysis, that allow more rigorous validation of pathway models and improved quantification of metabolic fluxes. Applications of these approaches open new research directions in metabolic engineering, biotechnology and medicine.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 26322734     DOI: 10.1016/j.copbio.2015.08.014

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  17 in total

1.  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

2.  Fast growth phenotype of E. coli K-12 from adaptive laboratory evolution does not require intracellular flux rewiring.

Authors:  Christopher P Long; Jacqueline E Gonzalez; Adam M Feist; Bernhard O Palsson; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2017-09-23       Impact factor: 9.783

3.  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

4.  A Combined Metabolomics and Fluxomics Analysis Identifies Steps Limiting Oil Synthesis in Maize Embryos.

Authors:  Jean-Christophe Cocuron; Mohamed Koubaa; Rebecca Kimmelfield; Zacchary Ross; Ana Paula Alonso
Journal:  Plant Physiol       Date:  2019-09-17       Impact factor: 8.340

5.  Comprehensive analysis of glucose and xylose metabolism in Escherichia coli under aerobic and anaerobic conditions by 13C metabolic flux analysis.

Authors:  Jacqueline E Gonzalez; Christopher P Long; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2016-11-11       Impact factor: 9.783

6.  13C metabolic flux analysis of three divergent extremely thermophilic bacteria: Geobacillus sp. LC300, Thermus thermophilus HB8, and Rhodothermus marinus DSM 4252.

Authors:  Lauren T Cordova; Robert M Cipolla; Adti Swarup; Christopher P Long; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2017-10-14       Impact factor: 9.783

7.  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

8.  Metabolism of the fast-growing bacterium Vibrio natriegens elucidated by 13C metabolic flux analysis.

Authors:  Christopher P Long; Jacqueline E Gonzalez; Robert M Cipolla; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2017-10-16       Impact factor: 9.783

9.  13C metabolic flux analysis of microbial and mammalian systems is enhanced with GC-MS measurements of glycogen and RNA labeling.

Authors:  Christopher P Long; Jennifer Au; Jacqueline E Gonzalez; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2016-06-22       Impact factor: 9.783

10.  Optimal tracers for parallel labeling experiments and 13C metabolic flux analysis: A new precision and synergy scoring system.

Authors:  Scott B Crown; Christopher P Long; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2016-06-04       Impact factor: 9.783

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