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Updated: Jun 7, 2025

A New Approach for the Comparative Analysis of Multiprotein Complexes Based on 15N Metabolic Labeling and Quantitative Mass Spectrometry
Published on: March 13, 2014
Measuring 15N and 13C Enrichment Levels in Sparsely Labeled Proteins Using High-Resolution and Tandem Mass
Elijah T Roberts1, Jonathan Choi1, Jeremy Risher1
1Department of Chemistry, University of Georgia, Athens, Georgia 30602, United States.
Sparse isotope labeling with nitrogen-15 (15N) and carbon-13 (13C) aids glycoprotein structure determination. A new method quantifies label incorporation despite metabolic scrambling, improving NMR accuracy.
Area of Science:
- Biochemistry
- Structural Biology
- Analytical Chemistry
Background:
- Sparse isotope labeling (15N, 13C) is crucial for complex proteins like glycoproteins expressed in mammalian cells.
- High enrichment levels are essential for multidimensional heteronuclear NMR studies of protein structure.
Purpose of the Study:
- To develop and validate a mass spectrometry-based method for quantifying isotope label incorporation in sparsely labeled glycoproteins.
- To identify and overcome challenges in label incorporation determination, such as metabolic scrambling and medium dilution.
Main Methods:
- Utilized mass spectrometry to analyze tryptic peptides of selectively labeled glycoproteins.
- Developed a data analysis approach involving simulation of isotope patterns and linear combination fitting.
- Employed ultrahigh mass resolution and tandem mass spectrometry for precise enrichment level assignment and label localization.
Main Results:
- Identified complex isotope patterns due to metabolic scrambling, complicating direct analysis.
- Successfully quantified 15N and 13C label incorporation using the developed simulation and fitting method.
- Detected previously unrecognized metabolic scrambling effects impacting NMR experiments.
Conclusions:
- The developed mass spectrometry method accurately quantifies sparse isotope labeling in glycoproteins, even with metabolic scrambling.
- This approach enhances the reliability of NMR-based structural analysis of glycoproteins.
- The findings provide critical insights into metabolic pathways affecting isotope labeling in cell expression systems.
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