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Updated: Jun 13, 2026

Sample Preparation and Relative Quantitation using Reductive Methylation of Amines for Peptidomics Studies
Published on: November 4, 2021
Peptide quantitation using primary amine selective metal chelation labels for mass spectrometry
1Department of Chemistry and Institutes of Chemical Biology and Integrative Biosystems Research and Education, Vanderbilt University, 7330 Stevenson Center, Nashville, TN 37235, USA.
New lanthanide metal chelating labels enable more simultaneous peptide quantitation measurements in mass spectrometry. This advancement improves the efficiency of relative peptide quantification in complex biological samples.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Mass Spectrometry
Background:
- Relative peptide quantitation is crucial for understanding protein expression changes.
- Current methods face limitations in the number of simultaneous measurements.
- Selective labeling is key to improving quantitation accuracy and throughput.
Purpose of the Study:
- To develop novel primary amine selective lanthanide metal chelating labels.
- To enhance the capacity for simultaneous relative peptide quantitation in mass spectrometry.
- To improve the efficiency and scope of proteomic analyses.
Main Methods:
- Synthesis and characterization of primary amine selective lanthanide metal chelating labels.
- Application of these labels in mass spectrometry-based peptide analysis.
- Optimization of labeling conditions for enhanced signal detection.
Main Results:
- Demonstrated successful selective labeling of primary amines on peptides.
- Achieved a significant increase in the number of simultaneous relative peptide quantitation measurements.
- Validated the utility of the labels for high-throughput proteomic studies.
Conclusions:
- Primary amine selective lanthanide metal chelating labels represent a significant advancement in mass spectrometry.
- These labels enhance the multiplexing capability for relative peptide quantitation.
- The developed technology offers improved efficiency for large-scale proteomic research.
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