↓ Skip to main content

Plant Metabolic Flux Analysis

Overview of attention for book
Cover of 'Plant Metabolic Flux Analysis'

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
  4. Altmetric Badge
    Chapter 3 (14)C pulse labeling to estimate external fluxes and turnovers in primary metabolism.
  5. Altmetric Badge
    Chapter 4 Optimization of Steady-State 13 C-Labeling Experiments for Metabolic Flux Analysis
  6. Altmetric Badge
    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
  8. Altmetric Badge
    Chapter 7 Analysis of Kinetic Labeling of Amino Acids and Organic Acids by GC-MS
  9. Altmetric Badge
    Chapter 8 Quantifying 13 C-labeling in Free Sugars and Starch by GC-MS
  10. Altmetric Badge
    Chapter 9 Liquid Chromatography Tandem Mass Spectrometry for Measuring 13 C-labeling in Intermediates of the Glycolysis and Pentose Phosphate Pathway
  11. Altmetric Badge
    Chapter 10 In Vivo NMR for 13 C metabolic Flux Analysis
  12. Altmetric Badge
    Chapter 11 Steady-State and Instationary Modeling of Proteinogenic and Free Amino Acid Isotopomers for Flux Quantification
  13. Altmetric Badge
    Chapter 12 Isotopically Nonstationary MFA (INST-MFA) of Autotrophic Metabolism
  14. Altmetric Badge
    Chapter 13 Simulating Labeling to Estimate Kinetic Parameters for Flux Control Analysis
  15. Altmetric Badge
    Chapter 14 High-Throughput Data Pipelines for Metabolic Flux Analysis in Plants
  16. Altmetric Badge
    Chapter 15 Analysis of Enzyme Activities
  17. Altmetric Badge
    Chapter 16 Analytical Kinetic Modeling: A Practical Procedure
  18. Altmetric Badge
    Chapter 17 Flux Balance Analysis as an Alternative Method to Estimate Fluxes Without Labeling
  19. Altmetric Badge
    Chapter 18 Flux Variability Analysis: Application to Developing Oilseed Rape Embryos Using Toolboxes for Constraint-Based Modeling
  20. Altmetric Badge
    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 15: Analysis of Enzyme Activities
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
13 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Analysis of Enzyme Activities
Chapter number 15
Book title
Plant Metabolic Flux Analysis
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-688-7_15
Pubmed ID
Book ISBNs
978-1-62703-687-0, 978-1-62703-688-7
Authors

Guillaume Ménard, Benoit Biais, Duyên Prodhomme, Patricia Ballias, Yves Gibon, Ménard, Guillaume, Biais, Benoit, Prodhomme, Duyên, Ballias, Patricia, Gibon, Yves

Abstract

The evaluation of enzyme activities, especially their capacities, represents an important step towards the modelling of biochemical pathways in living organisms. The implementation of microplate technology enables the determination of up to >50 enzymes in relatively large numbers of samples and in various biological materials. Most of these enzymes are involved in central metabolism and several pathways are entirely covered. Direct or indirect assays can be used, as well as highly sensitive assays, depending on the abundance of the enzymes under study. To exemplify such methods, protocols for UDP-glucose pyrophosphorylase (E.C. 2.7.7.9) operating in real time and for pyrophosphate:fructose-6-phosphate 1-phosphotransferase (E.C. 2.7.1.90) are presented.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Professor > Associate Professor 2 15%
Student > Master 2 15%
Student > Ph. D. Student 1 8%
Unspecified 1 8%
Other 1 8%
Unknown 2 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 46%
Biochemistry, Genetics and Molecular Biology 2 15%
Unspecified 1 8%
Immunology and Microbiology 1 8%
Unknown 3 23%
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 18 June 2014.
All research outputs
#20,231,820
of 22,757,541 outputs
Outputs from Methods in molecular biology
#9,864
of 13,089 outputs
Outputs of similar age
#264,796
of 305,260 outputs
Outputs of similar age from Methods in molecular biology
#405
of 597 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,089 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 305,260 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 597 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.