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Metabolic Flux Analysis

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Cover of 'Metabolic Flux Analysis'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Stoichiometric Modelling of Microbial Metabolism
  3. Altmetric Badge
    Chapter 2 Tapping the wealth of microbial data in high-throughput metabolic model reconstruction.
  4. Altmetric Badge
    Chapter 3 Constraining the Flux Space Using Thermodynamics and Integration of Metabolomics Data
  5. Altmetric Badge
    Chapter 4 NExT : Integration of Thermodynamic Constraints and Metabolomics Data into a Metabolic Network
  6. Altmetric Badge
    Chapter 5 Customization of 13C-MFA Strategy According to Cell Culture System
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    Chapter 6 Quantitative Metabolomics Using ID-MS
  8. Altmetric Badge
    Chapter 7 Determining the biomass composition of a sponge holobiont for flux analysis.
  9. Altmetric Badge
    Chapter 8 Successful Downsizing for High-Throughput (13)C-MFA Applications.
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    Chapter 9 Labelling Analysis for 13 C MFA Using NMR Spectroscopy
  11. Altmetric Badge
    Chapter 10 GC-MS-Based 13 C Metabolic Flux Analysis
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    Chapter 11 Dynamic Analysis of CO 2 Labeling and Cell Respiration Using Membrane-Inlet Mass Spectrometry
  13. Altmetric Badge
    Chapter 12 Correction of MS Data for Naturally Occurring Isotopes in Isotope Labelling Experiments
  14. Altmetric Badge
    Chapter 13 Steady-State 13C Fluxomics Using OpenFLUX
  15. Altmetric Badge
    Chapter 14 Flux Visualization Using VANTED/FluxMap
  16. Altmetric Badge
    Chapter 15 Metabolic Flux Analysis for Escherichia coli by Flux Balance Analysis
  17. Altmetric Badge
    Chapter 16 13 C-Metabolic Flux Analysis for Escherichia coli
  18. Altmetric Badge
    Chapter 17 (13)C-Based Metabolic Flux Analysis of Recombinant Pichia pastoris.
Attention for Chapter 8: Successful Downsizing for High-Throughput (13)C-MFA Applications.
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Chapter title
Successful Downsizing for High-Throughput (13)C-MFA Applications.
Chapter number 8
Book title
Metabolic Flux Analysis
Published in
Methods in molecular biology, September 2014
DOI 10.1007/978-1-4939-1170-7_8
Pubmed ID
Book ISBNs
978-1-4939-1169-1, 978-1-4939-1170-7
Authors

Ebert BE, Blank LM, Birgitta E. Ebert, Lars M. Blank

Abstract

(13)C label-based metabolic flux analysis is a powerful technique for the determination of intracellular reaction rates and is used in such different research fields as quantitative physiology, metabolic engineering, and systems biology. Metabolic fluxes can be determined at high quality using (pseudo)-steady-state cultures and advanced mathematical models for data interpretation. Here, we describe a protocol for parallel metabolic flux analysis that consists of downsized microbial (yeast) cultivation, miniaturized sample preparation, and semiautomated analytics and data evaluation. With this protocol dozens of metabolic flux analyses can be carried out in 1 week, thereby enabling for example the analysis of genetic and environmental perturbations on the operation of metabolic networks.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 10%
Professor > Associate Professor 1 10%
Student > Bachelor 1 10%
Student > Master 1 10%
Unknown 6 60%
Readers by discipline Count As %
Computer Science 2 20%
Biochemistry, Genetics and Molecular Biology 1 10%
Agricultural and Biological Sciences 1 10%
Unknown 6 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 September 2014.
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#20,236,620
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Outputs from Methods in molecular biology
#9,864
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Outputs of similar age
#199,232
of 237,864 outputs
Outputs of similar age from Methods in molecular biology
#56
of 79 outputs
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