Literature DB >> 27667771

Understanding metabolism with flux analysis: From theory to application.

Ziwei Dai1, Jason W Locasale2.   

Abstract

Quantitative and qualitative knowledge of metabolic rates (i.e. fluxes) over a metabolic network and in specific cellular compartments gives insights into the regulation of metabolism and helps to understand the contribution of metabolic alterations to pathology. In this review we introduce methodology to resolve metabolic fluxes from stable isotope labeling and relevant techniques in model development, model simplification, flux uncertainty analysis and experimental design that together is termed metabolic flux analysis. Finally we discuss applications using metabolic flux analysis to elucidate mechanisms pertinent to tumor cell metabolism. We hope that this review gives the readers a brief introduction of how flux analysis is conducted, how technical issues related to it are addressed, and how its application has contributed to our knowledge of tumor cell metabolism.
Copyright © 2017 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cancer metabolism; Metabolic flux analysis

Mesh:

Year:  2016        PMID: 27667771      PMCID: PMC5362364          DOI: 10.1016/j.ymben.2016.09.005

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


  97 in total

1.  CeCaFDB: a curated database for the documentation, visualization and comparative analysis of central carbon metabolic flux distributions explored by 13C-fluxomics.

Authors:  Zhengdong Zhang; Tie Shen; Bin Rui; Wenwei Zhou; Xiangfei Zhou; Chuanyu Shang; Chenwei Xin; Xiaoguang Liu; Gang Li; Jiansi Jiang; Chao Li; Ruiyuan Li; Mengshu Han; Shanping You; Guojun Yu; Yin Yi; Han Wen; Zhijie Liu; Xiaoyao Xie
Journal:  Nucleic Acids Res       Date:  2014-11-11       Impact factor: 16.971

2.  Planning optimal measurements of isotopomer distributions for estimation of metabolic fluxes.

Authors:  Ari Rantanen; Taneli Mielikäinen; Juho Rousu; Hannu Maaheimo; Esko Ukkonen
Journal:  Bioinformatics       Date:  2006-02-27       Impact factor: 6.937

3.  Bidirectional reaction steps in metabolic networks: II. Flux estimation and statistical analysis.

Authors:  W Wiechert; C Siefke; A A de Graaf; A Marx
Journal:  Biotechnol Bioeng       Date:  1997-07-05       Impact factor: 4.530

4.  Bidirectional reaction steps in metabolic networks: I. Modeling and simulation of carbon isotope labeling experiments.

Authors:  W Wiechert; A A de Graaf
Journal:  Biotechnol Bioeng       Date:  1997-07-05       Impact factor: 4.530

5.  Identification of optimal measurement sets for complete flux elucidation in metabolic flux analysis experiments.

Authors:  YoungJung Chang; Patrick F Suthers; Costas D Maranas
Journal:  Biotechnol Bioeng       Date:  2008-08-15       Impact factor: 4.530

6.  Tumor microenvironment derived exosomes pleiotropically modulate cancer cell metabolism.

Authors:  Hongyun Zhao; Lifeng Yang; Joelle Baddour; Abhinav Achreja; Vincent Bernard; Tyler Moss; Juan C Marini; Thavisha Tudawe; Elena G Seviour; F Anthony San Lucas; Hector Alvarez; Sonal Gupta; Sourindra N Maiti; Laurence Cooper; Donna Peehl; Prahlad T Ram; Anirban Maitra; Deepak Nagrath
Journal:  Elife       Date:  2016-02-27       Impact factor: 8.140

7.  Optimization of 13C isotopic tracers for metabolic flux analysis in mammalian cells.

Authors:  Jason L Walther; Christian M Metallo; Jie Zhang; Gregory Stephanopoulos
Journal:  Metab Eng       Date:  2011-12-19       Impact factor: 9.783

8.  Exogenous Fatty Acids Are the Preferred Source of Membrane Lipids in Proliferating Fibroblasts.

Authors:  Cong-Hui Yao; Ronald Fowle-Grider; Nathanial G Mahieu; Gao-Yuan Liu; Ying-Jr Chen; Rencheng Wang; Manmilan Singh; Gregory S Potter; Richard W Gross; Jacob Schaefer; Stephen L Johnson; Gary J Patti
Journal:  Cell Chem Biol       Date:  2016-03-31       Impact factor: 8.116

9.  Tracing compartmentalized NADPH metabolism in the cytosol and mitochondria of mammalian cells.

Authors:  Caroline A Lewis; Seth J Parker; Brian P Fiske; Douglas McCloskey; Dan Y Gui; Courtney R Green; Natalie I Vokes; Adam M Feist; Matthew G Vander Heiden; Christian M Metallo
Journal:  Mol Cell       Date:  2014-05-29       Impact factor: 19.328

10.  Serine starvation induces stress and p53-dependent metabolic remodelling in cancer cells.

Authors:  Oliver D K Maddocks; Celia R Berkers; Susan M Mason; Liang Zheng; Karen Blyth; Eyal Gottlieb; Karen H Vousden
Journal:  Nature       Date:  2012-12-16       Impact factor: 49.962

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  28 in total

1.  DeltaMS: a tool to track isotopologues in GC- and LC-MS data.

Authors:  Tim U H Baumeister; Nico Ueberschaar; Wolfgang Schmidt-Heck; J Frieder Mohr; Michael Deicke; Thomas Wichard; Reinhard Guthke; Georg Pohnert
Journal:  Metabolomics       Date:  2018-02-27       Impact factor: 4.290

2.  CYP2C19 and 3A4 Dominate Metabolic Clearance and Bioactivation of Terbinafine Based on Computational and Experimental Approaches.

Authors:  Mary A Davis; Dustyn A Barnette; Noah R Flynn; Anirudh S Pidugu; S Joshua Swamidass; Gunnar Boysen; Grover P Miller
Journal:  Chem Res Toxicol       Date:  2019-04-10       Impact factor: 3.739

Review 3.  The evolving metabolic landscape of chromatin biology and epigenetics.

Authors:  Ziwei Dai; Vijyendra Ramesh; Jason W Locasale
Journal:  Nat Rev Genet       Date:  2020-09-09       Impact factor: 53.242

Review 4.  Glutamine Metabolism in Cancer: Understanding the Heterogeneity.

Authors:  Ahmad A Cluntun; Michael J Lukey; Richard A Cerione; Jason W Locasale
Journal:  Trends Cancer       Date:  2017-03

5.  Quantitative Analysis of the Physiological Contributions of Glucose to the TCA Cycle.

Authors:  Shiyu Liu; Ziwei Dai; Daniel E Cooper; David G Kirsch; Jason W Locasale
Journal:  Cell Metab       Date:  2020-09-21       Impact factor: 27.287

Review 6.  The impact of cellular metabolism on chromatin dynamics and epigenetics.

Authors:  Michael A Reid; Ziwei Dai; Jason W Locasale
Journal:  Nat Cell Biol       Date:  2017-10-23       Impact factor: 28.824

7.  Staring into the void: demystifying microbial metabolomics.

Authors:  Cynthia M Grim; Gordon T Luu; Laura M Sanchez
Journal:  FEMS Microbiol Lett       Date:  2019-06-01       Impact factor: 2.742

8.  Isotopically nonstationary 13C metabolic flux analysis in resting and activated human platelets.

Authors:  Cara L Sake; Alexander J Metcalf; Michelle Meagher; Jorge Di Paola; Keith B Neeves; Nanette R Boyle
Journal:  Metab Eng       Date:  2021-12-22       Impact factor: 9.783

9.  New concepts in feedback regulation of glucose metabolism.

Authors:  Jason W Locasale
Journal:  Curr Opin Syst Biol       Date:  2017-12-05

Review 10.  Circadian and Sleep Metabolomics Across Species.

Authors:  Dania M Malik; Georgios K Paschos; Amita Sehgal; Aalim M Weljie
Journal:  J Mol Biol       Date:  2020-05-03       Impact factor: 5.469

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