Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Chemical Shift: Internal References and Solvent Effects01:17

Chemical Shift: Internal References and Solvent Effects

In an NMR sample, precise measurement of the absolute absorption frequencies of nuclei is difficult. A standard internal reference compound is added, and the frequency difference between the reference signal and sample signals is measured.
The internal reference compound generally used in NMR spectroscopy is tetramethylsilane (TMS). TMS is preferred because it is chemically inert, soluble in NMR solvents, and easily removable. Also, the highly shielded methyl protons in TMS yield an intense...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Reactivity of mammalian lipoxygenases (ALOX isoforms) with phospholipids, biomembranes and lipoproteins.

Communications biology·2026
Same author

Comparative analysis of metabolic and functional cardiac alterations in diet- and genetically induced mouse models of cardiac dysfunction.

The FEBS journal·2025
Same author

Computational modelling of myocardial metabolism in patients with advanced heart failure.

European journal of heart failure·2025
Same author

Patient-specific effects of metformin on the hepatic metabolism in adolescents with metabolic dysfunction-associated steatotic liver disease (MASLD).

Journal of molecular medicine (Berlin, Germany)·2025
Same author

Dynamical modelling of lipid droplet formation suggests a key function of membrane phospholipids.

The FEBS journal·2024
Same author

Fast proteomics with dia-PASEF and analytical flow-rate chromatography.

Proteomics·2023

Related Experiment Video

Updated: Jun 23, 2026

Enhancing Efficiency and Radiolabeling Yields of Carbon-11 Radioligands for Clinical Research Using the Loop Method
09:08

Enhancing Efficiency and Radiolabeling Yields of Carbon-11 Radioligands for Clinical Research Using the Loop Method

Published on: December 20, 2024

Computer aided optimization of carbon atom labeling for tracer experiments.

Benjamin Sefa Menküc1, Christoph Gille, Hermann-Georg Holzhütter

  • 1Medical Faculty of the Humboldt University Berlin, Charité, Institute of Biochemistry, Monbijoustr. 2, 10117 Berlin, Germany. benjamin@menkuec.de

Genome Informatics. International Conference on Genome Informatics
|May 9, 2009
PubMed
Summary

This study introduces an algorithm and software for optimal carbon labeling in isotopomer tracer experiments. This improves flux analysis and pathway discovery by guiding label distribution within metabolic networks.

More Related Videos

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources
12:47

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources

Published on: January 22, 2018

Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids
07:26

Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids

Published on: January 26, 2012

Related Experiment Videos

Last Updated: Jun 23, 2026

Enhancing Efficiency and Radiolabeling Yields of Carbon-11 Radioligands for Clinical Research Using the Loop Method
09:08

Enhancing Efficiency and Radiolabeling Yields of Carbon-11 Radioligands for Clinical Research Using the Loop Method

Published on: December 20, 2024

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources
12:47

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources

Published on: January 22, 2018

Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids
07:26

Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids

Published on: January 26, 2012

Area of Science:

  • Metabolic Engineering
  • Systems Biology
  • Biochemistry

Background:

  • Isotopomer tracer experiments are crucial for quantifying metabolic flux rates and identifying novel pathways.
  • The effectiveness of these experiments relies heavily on the strategic labeling of precursor metabolites.
  • Understanding atom dissemination is key to interpreting experimental data accurately.

Purpose of the Study:

  • To develop an algorithm and software tool for determining optimal carbon labeling patterns in metabolic networks.
  • To enhance the dissemination of isotopic labels into specific network regions for improved tracer analysis.
  • To facilitate the study of biochemical reaction mechanisms through generated carbon transition probability matrices.

Main Methods:

  • Development of a novel algorithm for optimal carbon labeling pattern determination.
  • Implementation of the algorithm into a user-friendly software tool.
  • Utilizing carbon fate maps and distinguishing between homotopic and prochiral atoms.
  • Generation of carbon transition probability matrices.

Main Results:

  • The developed algorithm successfully identifies optimal carbon labeling patterns for tracer experiments.
  • The software enables targeted label dissemination within metabolic networks.
  • Demonstrated application of the software to glycolysis and the TCA cycle pathways.
  • The tool can generate transition probability matrices for mechanistic studies.

Conclusions:

  • The presented algorithm and software provide a powerful approach for optimizing isotopomer tracer experiments.
  • This tool enhances the accuracy of metabolic flux determination and pathway elucidation.
  • The software serves as a valuable resource for systems biology and metabolic engineering research.