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Related Concept Videos

Carbon-13 (¹³C) NMR: Overview01:10

Carbon-13 (¹³C) NMR: Overview

9.4K
Carbon-13 is a naturally occurring NMR-active isotope of carbon with a low natural abundance of 1.1%. In contrast, carbon-12 is the most abundant isotope of carbon with zero nuclear spin. Therefore, it is NMR inactive. The gyromagnetic ratio of carbon-13 is smaller than that of protons. As a result, carbon-13 resonance is about 6000 times weaker than proton resonance. For a given magnetic field strength, the resonance frequency of carbon-13 is about one-fourth of the resonance frequency for...
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¹³C NMR: ¹H–¹³C Decoupling01:04

¹³C NMR: ¹H–¹³C Decoupling

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The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
2.1K

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Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids
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A roadmap for interpreting (13)C metabolite labeling patterns from cells.

Joerg M Buescher1, Maciek R Antoniewicz2, Laszlo G Boros3

  • 1Vesalius Research Center, VIB, Leuven, Belgium; Department of Oncology, KU Leuven, Leuven, Belgium.

Current Opinion in Biotechnology
|March 4, 2015
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Summary

This review clarifies how to interpret carbon-13 (13C) metabolite labeling patterns from tracer studies. Understanding these patterns helps reveal cellular metabolism and nutrient use in biomedical research.

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Area of Science:

  • Biomedical Research
  • Metabolic Analysis

Background:

  • Intracellular metabolism measurements offer critical insights in biomedical research.
  • Carbon-13 (13C) tracer analysis is a valuable, time-efficient method for studying metabolic pathways.

Purpose of the Study:

  • To review key challenges in interpreting 13C metabolite labeling patterns.
  • To guide accurate conclusions from stable isotopic tracer experiments.

Main Methods:

  • Review of established 13C tracer analysis techniques.
  • Focus on interpreting labeling patterns from steady state and dynamic experiments.

Main Results:

  • Discusses methods for unraveling relative pathway activities.
  • Highlights how to determine qualitative changes in pathway and nutrient contributions.

Conclusions:

  • Accurate interpretation of 13C labeling patterns is crucial for advancing metabolic research.
  • This review provides a framework for drawing reliable conclusions from tracer studies.