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Related Concept Videos

Mass Spectrometry: Isotope Effect01:13

Mass Spectrometry: Isotope Effect

Most elements exist in nature as a mixture of isotopes. The isotopes differ in weight due to their respective number of neutrons. The molecular weight of a molecule is different depending on the specific isotope of its elements involved. As a result, the mass spectrum of the molecule exhibits peaks from the same fragment at multiple positions. The positions of these mass signals depend on the mass differences between isotopes. Furthermore, the intensity of these signals is dependent on the...
Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences01:20

Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences

Inductively coupled plasma–mass spectrometry (ICP–MS) is a highly selective and sensitive technique for accurate elemental analysis. Though the analysis of ICP–MS mass spectra is comparatively straightforward, it is affected by spectroscopic and non-spectroscopic interferences. Spectroscopic interferences arise when the plasma contains ionic species with an m/z value the same as the analyte ion. Spectroscopic interference can be categorized as isobaric, polyatomic ions, and refractory oxide ion...

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Related Experiment Video

Updated: May 24, 2026

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

IsoCor: correcting MS data in isotope labeling experiments.

Pierre Millard1, Fabien Letisse, Serguei Sokol

  • 1Université de Toulouse, 135 Avenue de Rangueil, Toulouse, France.

Bioinformatics (Oxford, England)
|March 16, 2012
PubMed
Summary
This summary is machine-generated.

IsoCor software corrects raw mass spectrometry data for natural isotopes in biological studies. This enables accurate quantitative analysis using diverse isotopic tracers, enhancing metabolic flux analysis.

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Last Updated: May 24, 2026

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Automated Sample Multiplexing by using Combined Precursor Isotopic Labeling and Isobaric Tagging (cPILOT)

Published on: December 18, 2020

Area of Science:

  • Biochemistry and Molecular Biology
  • Analytical Chemistry
  • Bioinformatics

Background:

  • Mass spectrometry (MS) is crucial for isotopic labeling studies in metabolism and biological processes.
  • Quantitative analyses, such as metabolic flux analysis, necessitate raw MS data correction for naturally abundant isotopes.
  • Existing tools may have limitations in scope or ease of use for comprehensive isotopic correction.

Purpose of the Study:

  • To introduce IsoCor, a versatile software for correcting raw mass spectrometry data for naturally abundant isotopes.
  • To enable accurate quantitative isotopic studies using a wide range of isotopic tracers.
  • To improve the accessibility and accuracy of isotope labeling experiments for the broader biological community.

Main Methods:

  • Developed IsoCor software for isotopic correction applicable to any chemical species.
  • Implemented an efficient algorithm for processing large datasets.
  • Incorporated features for correcting tracer isotopic purity to enhance quantitative accuracy.

Main Results:

  • IsoCor successfully corrects raw MS data for natural isotopes across various chemical species.
  • The software supports the use of both common (e.g., 13C, 15N) and unusual (e.g., 57Fe, 77Se) isotopic tracers.
  • IsoCor improves the accuracy of quantitative isotopic studies through features like isotopic purity correction.

Conclusions:

  • IsoCor provides a user-friendly and efficient solution for isotopic correction in mass spectrometry-based biological studies.
  • The software enhances the reliability of quantitative isotopic analyses, including metabolic flux analysis.
  • IsoCor democratizes the use of isotopic labeling techniques, making them accessible to a wider range of researchers.