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Updated: May 2, 2026

Sample Preparation and Relative Quantitation using Reductive Methylation of Amines for Peptidomics Studies
Published on: November 4, 2021
Analysis of isotopic labeling in peptide fragments by tandem mass spectrometry
Doug K Allen1, Bradley S Evans2, Igor G L Libourel3
1United States Department of Agriculture, Agricultural Research Service, Plant Genetic Research Unit, St. Louis, Missouri, United States of America; Donald Danforth Plant Science Center, St. Louis, Missouri, United States of America.
Abstract:
Phenotype in multicellular organisms is the consequence of dynamic metabolic events that occur in a spatially dependent fashion. This spatial and temporal complexity presents challenges for investigating metabolism; creating a need for improved methods that effectively probe biochemical events such as amino acid biosynthesis. Isotopic labeling can provide a temporal-spatial recording of metabolic events through, for example, the description of enriched amino acids in the protein pool. Proteins are therefore an important readout of metabolism and can be assessed with modern mass spectrometers. We compared the measurement of isotopic labeling in MS2 spectra obtained from tandem mass spectrometry under either higher energy collision dissociation (HCD) or collision induced dissociation (CID) at varied energy levels. Developing soybean embryos cultured with or without 13C-labeled substrates, and Escherichia coli MG1655 enriched by feeding 7% uniformly labeled glucose served as a source of biological material for protein evaluation. CID with low energies resulted in a disproportionate amount of heavier isotopologues remaining in the precursor isotopic distribution. HCD resulted in fewer quantifiable products; however deviation from predicted distributions were small relative to the CID-based comparisons. Fragment ions have the potential to provide information on the labeling of amino acids in peptides, but our results indicate that without further development the use of this readout in quantitative methods such as metabolic flux analysis is limited.
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