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Plant Metabolic Flux Analysis

Overview of attention for book
Plant Metabolic Flux Analysis
Humana Press

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Application of Metabolic Flux Analysis to Plants
  3. Altmetric Badge
    Chapter 2 Metabolic Network Reconstruction and Their Topological Analysis
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    Chapter 3 (14)C pulse labeling to estimate external fluxes and turnovers in primary metabolism.
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    Chapter 4 Optimization of Steady-State 13 C-Labeling Experiments for Metabolic Flux Analysis
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    Chapter 5 Quantification of 13 C Enrichments and Isotopomer Abundances for Metabolic Flux Analysis Using 1D NMR Spectroscopy
  7. Altmetric Badge
    Chapter 6 Analysis of Proteinogenic Amino Acid and Starch Labeling by 2D NMR
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    Chapter 7 Analysis of Kinetic Labeling of Amino Acids and Organic Acids by GC-MS
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    Chapter 8 Quantifying 13 C-labeling in Free Sugars and Starch by GC-MS
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    Chapter 9 Liquid Chromatography Tandem Mass Spectrometry for Measuring 13 C-labeling in Intermediates of the Glycolysis and Pentose Phosphate Pathway
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    Chapter 10 In Vivo NMR for 13 C metabolic Flux Analysis
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    Chapter 11 Steady-State and Instationary Modeling of Proteinogenic and Free Amino Acid Isotopomers for Flux Quantification
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    Chapter 12 Isotopically Nonstationary MFA (INST-MFA) of Autotrophic Metabolism
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    Chapter 13 Simulating Labeling to Estimate Kinetic Parameters for Flux Control Analysis
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    Chapter 14 High-Throughput Data Pipelines for Metabolic Flux Analysis in Plants
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    Chapter 15 Analysis of Enzyme Activities
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    Chapter 16 Analytical Kinetic Modeling: A Practical Procedure
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    Chapter 17 Flux Balance Analysis as an Alternative Method to Estimate Fluxes Without Labeling
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    Chapter 18 Flux Variability Analysis: Application to Developing Oilseed Rape Embryos Using Toolboxes for Constraint-Based Modeling
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    Chapter 19 Plant Genome-Scale Modeling and Implementation
  21. Altmetric Badge
    Chapter 20 34 S and 15 N Labelling to Model S and N Flux in Plants and Determine the Different Components of N and S Use Efficiency
  22. Altmetric Badge
    Chapter 21 Ecophysiological Process-Based Model to Simulate Carbon Fluxes in Plants
Attention for Chapter 3: (14)C pulse labeling to estimate external fluxes and turnovers in primary metabolism.
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Chapter title
(14)C pulse labeling to estimate external fluxes and turnovers in primary metabolism.
Chapter number 3
Book title
Plant Metabolic Flux Analysis
Published in
Methods in molecular biology, November 2013
DOI 10.1007/978-1-62703-688-7_3
Pubmed ID
Book ISBNs
978-1-62703-687-0, 978-1-62703-688-7
Authors

Pianelli K, Monier A, Andrieu MH, Beauvoit B, Dieuaide-Noubhani M, Katia Pianelli, Antoine Monier, Marie-Hélène Andrieu, Bertrand Beauvoit, Martine Dieuaide-Noubhani, Pianelli, Katia, Monier, Antoine, Andrieu, Marie-Hélène, Beauvoit, Bertrand, Dieuaide-Noubhani, Martine

Abstract

Steady state (13)C-MFA is classically used to measure fluxes in complex metabolic networks. However, the modeling of steady state labeling allows the quantification of internal fluxes only and requires the estimation, by other methods, of the external fluxes, corresponding to substrate uptake (carbon input into the network) and to the production rate of compounds that accumulate within plant cells (network output). Additionally, it is not always possible to discriminate between different pathways that lead to the same label distribution. Methods to measure fluxes, based on direct measurements of pool size and on (14)C short-time labeling experiments, are described in this chapter. To illustrate this approach, we focus on the quantification of sucrose and starch turnovers.

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Readers by professional status Count As %
Researcher 2 40%
Professor > Associate Professor 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 40%
Immunology and Microbiology 1 20%
Unknown 2 40%
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 06 July 2014.
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#20,232,430
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Outputs of similar age from Methods in molecular biology
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