Suppr超能文献

代谢交换通量的热力学意义。

The thermodynamic meaning of metabolic exchange fluxes.

作者信息

Wiechert Wolfgang

机构信息

Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.

出版信息

Biophys J. 2007 Sep 15;93(6):2255-64. doi: 10.1529/biophysj.106.099895. Epub 2007 May 25.

Abstract

Metabolic flux analysis (MFA) deals with the experimental determination of steady-state fluxes in metabolic networks. An important feature of the (13)C MFA method is its capability to generate information on both directions of bidirectional reaction steps given by exchange fluxes. The biological interpretation of these exchange fluxes and their relation to thermodynamic properties of the respective reaction steps has never been systematically investigated. As a central result, it is shown here that for a general class of enzyme reaction mechanisms the quotients of net and exchange fluxes measured by (13)C MFA are coupled to Gibbs energies of the reaction steps. To establish this relation the concept of apparent flux ratios of enzymatic isotope-labeling networks is introduced and some computing rules for these flux ratios are given. Application of these rules reveals a conceptional pitfall of (13)C MFA, which is the inherent dependency of measured exchange fluxes on the chosen tracer atom. However, it is shown that this effect can be neglected for typical biochemical reaction steps under physiological conditions. In this situation, the central result can be formulated as a two-sided inequality relating fluxes, pool sizes, and standard Gibbs energies. This relation has far-reaching consequences for metabolic flux analysis, quantitative metabolomics, and network thermodynamics.

摘要

代谢通量分析(MFA)涉及代谢网络中稳态通量的实验测定。(13)C MFA方法的一个重要特征是它能够生成由交换通量给出的双向反应步骤两个方向上的信息。这些交换通量的生物学解释及其与各个反应步骤热力学性质的关系从未得到系统研究。作为一个核心结果,本文表明,对于一类一般的酶反应机制,通过(13)C MFA测量的净通量与交换通量的商与反应步骤的吉布斯自由能相关联。为了建立这种关系,引入了酶促同位素标记网络的表观通量比概念,并给出了这些通量比的一些计算规则。这些规则的应用揭示了(13)C MFA的一个概念陷阱,即测量的交换通量对所选示踪原子的固有依赖性。然而,结果表明,在生理条件下,对于典型的生化反应步骤,这种影响可以忽略不计。在这种情况下,核心结果可以表述为一个将通量、库大小和标准吉布斯自由能联系起来的双边不等式。这种关系对代谢通量分析、定量代谢组学和网络热力学具有深远影响。

相似文献

1
The thermodynamic meaning of metabolic exchange fluxes.
Biophys J. 2007 Sep 15;93(6):2255-64. doi: 10.1529/biophysj.106.099895. Epub 2007 May 25.
2
Metabolic Flux Analysis-Linking Isotope Labeling and Metabolic Fluxes.
Metabolites. 2020 Nov 6;10(11):447. doi: 10.3390/metabo10110447.
4
6
Metabolic flux analysis and fluxomics-driven determination of reaction free energy using multiple isotopes.
Curr Opin Biotechnol. 2020 Aug;64:151-160. doi: 10.1016/j.copbio.2020.02.018. Epub 2020 Apr 15.
7
Genome-Scale C Fluxomics Modeling for Metabolic Engineering of Saccharomyces cerevisiae.
Methods Mol Biol. 2019;1859:317-345. doi: 10.1007/978-1-4939-8757-3_19.
8
Isotopically nonstationary metabolic flux analysis (INST-MFA): putting theory into practice.
Curr Opin Biotechnol. 2018 Dec;54:80-87. doi: 10.1016/j.copbio.2018.02.013. Epub 2018 Mar 6.
9
Isotope-assisted metabolic flux analysis as an equality-constrained nonlinear program for improved scalability and robustness.
PLoS Comput Biol. 2022 Mar 24;18(3):e1009831. doi: 10.1371/journal.pcbi.1009831. eCollection 2022 Mar.
10
Using multiple tracers for 13C metabolic flux analysis.
Methods Mol Biol. 2013;985:353-65. doi: 10.1007/978-1-62703-299-5_17.

引用本文的文献

1
Determination of Metabolic Fluxes by Deep Learning of Isotope Labeling Patterns.
bioRxiv. 2023 Nov 8:2023.11.06.565907. doi: 10.1101/2023.11.06.565907.
2
BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale.
PLoS Comput Biol. 2023 Nov 10;19(11):e1011111. doi: 10.1371/journal.pcbi.1011111. eCollection 2023 Nov.
3
4
Interpreting metabolic complexity via isotope-assisted metabolic flux analysis.
Trends Biochem Sci. 2023 Jun;48(6):553-567. doi: 10.1016/j.tibs.2023.02.001. Epub 2023 Mar 1.
5
One-shot C N-metabolic flux analysis for simultaneous quantification of carbon and nitrogen flux.
Mol Syst Biol. 2023 Mar 9;19(3):e11099. doi: 10.15252/msb.202211099. Epub 2023 Jan 27.
7
The Design of FluxML: A Universal Modeling Language for C Metabolic Flux Analysis.
Front Microbiol. 2019 May 24;10:1022. doi: 10.3389/fmicb.2019.01022. eCollection 2019.
8
Cytosolic Aspartate Availability Determines Cell Survival When Glutamine Is Limiting.
Cell Metab. 2018 Nov 6;28(5):706-720.e6. doi: 10.1016/j.cmet.2018.07.021. Epub 2018 Aug 16.
9
Reverse engineering the cancer metabolic network using flux analysis to understand drivers of human disease.
Metab Eng. 2018 Jan;45:95-108. doi: 10.1016/j.ymben.2017.11.013. Epub 2017 Dec 2.
10
Metabolite concentrations, fluxes and free energies imply efficient enzyme usage.
Nat Chem Biol. 2016 Jul;12(7):482-9. doi: 10.1038/nchembio.2077. Epub 2016 May 2.

本文引用的文献

1
Modeling isotopomer distributions in biochemical networks using isotopomer mapping matrices.
Biotechnol Bioeng. 1997 Sep 20;55(6):831-40. doi: 10.1002/(SICI)1097-0290(19970920)55:6<831::AID-BIT2>3.0.CO;2-H.
2
Bidirectional reaction steps in metabolic networks: II. Flux estimation and statistical analysis.
Biotechnol Bioeng. 1997 Jul 5;55(1):118-35. doi: 10.1002/(SICI)1097-0290(19970705)55:1<118::AID-BIT13>3.0.CO;2-I.
3
Bidirectional reaction steps in metabolic networks: I. Modeling and simulation of carbon isotope labeling experiments.
Biotechnol Bioeng. 1997 Jul 5;55(1):101-17. doi: 10.1002/(SICI)1097-0290(19970705)55:1<101::AID-BIT12>3.0.CO;2-P.
4
Determination of the fluxes in the central metabolism of Corynebacterium glutamicum by nuclear magnetic resonance spectroscopy combined with metabolite balancing.
Biotechnol Bioeng. 1996 Jan 20;49(2):111-29. doi: 10.1002/(SICI)1097-0290(19960120)49:2<111::AID-BIT1>3.0.CO;2-T.
5
Metabolic flux distributions in Corynebacterium glutamicum during growth and lysine overproduction.
Biotechnol Bioeng. 1993 Mar 15;41(6):633-46. doi: 10.1002/bit.260410606.
7
Metabolic flux analysis at ultra short time scale: isotopically non-stationary 13C labeling experiments.
J Biotechnol. 2007 Apr 30;129(2):249-67. doi: 10.1016/j.jbiotec.2006.11.015. Epub 2006 Dec 1.
8
Relationship between thermodynamic driving force and one-way fluxes in reversible processes.
PLoS One. 2007 Jan 3;2(1):e144. doi: 10.1371/journal.pone.0000144.
9
Metabolic networks in motion: 13C-based flux analysis.
Mol Syst Biol. 2006;2:62. doi: 10.1038/msb4100109. Epub 2006 Nov 14.
10
Elementary metabolite units (EMU): a novel framework for modeling isotopic distributions.
Metab Eng. 2007 Jan;9(1):68-86. doi: 10.1016/j.ymben.2006.09.001. Epub 2006 Sep 17.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验