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Updated: Mar 11, 2026

A New Approach for the Comparative Analysis of Multiprotein Complexes Based on 15N Metabolic Labeling and Quantitative Mass Spectrometry

A New Approach for the Comparative Analysis of Multiprotein Complexes Based on 15N Metabolic Labeling and Quantitative Mass Spectrometry

Published on: March 13, 2014

Using ¹⁵N-Metabolic Labeling for Quantitative Proteomic Analyses.

Giuseppina Maccarrone¹, Alon Chen², Michaela D Filiou³

¹Department Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.

Methods in Molecular Biology (Clifton, N.J.)

|November 30, 2016

Summary

This summary is machine-generated.

This study introduces in vivo 15N metabolic labeling to create mouse protein standards for accurate quantitative proteomics. These standards enable unbiased measurement of protein expression changes in samples like brain tissue and plasma.

Keywords:

15N metabolic labeling Mass spectrometry Peptide quantification Quantitative proteomics

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Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids

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Last Updated: Mar 11, 2026

A New Approach for the Comparative Analysis of Multiprotein Complexes Based on 15N Metabolic Labeling and Quantitative Mass Spectrometry

A New Approach for the Comparative Analysis of Multiprotein Complexes Based on 15N Metabolic Labeling and Quantitative Mass Spectrometry

Published on: March 13, 2014

Enhanced Sample Multiplexing of Tissues Using Combined Precursor Isotopic Labeling and Isobaric Tagging cPILOT

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Published on: May 1, 2017

Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids

Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids

Published on: January 26, 2012

Area of Science:

Proteomics
Biochemistry
Analytical Chemistry

Background:

Quantitative proteomics relies on accurate internal standards for reliable protein expression analysis.
Stable isotope labeling is a key technique for achieving unbiased quantification in proteomic studies.

Purpose of the Study:

To describe a method for generating stable isotopically labeled protein standards from mice using in vivo 15N metabolic labeling.
To present a comprehensive workflow for quantitative proteomic analysis using these labeled standards.

Main Methods:

In vivo 15N metabolic labeling of mice to produce labeled protein standards.
Detailed protocols for sample preparation, mass spectrometry analysis, and data processing.
Application of the method to mouse brain tissue and plasma samples.

Main Results:

Successful generation of 15N-labeled mouse protein standards.
Demonstration of an unbiased and accurate quantification of protein expression levels.
Establishment of a complete workflow applicable to various biological samples.

Conclusions:

In vivo 15N metabolic labeling provides a robust method for creating internal standards in quantitative proteomics.
The presented workflow enables accurate comparison of unlabeled proteomes, particularly in mouse models.
This approach has broad applicability across different organisms and sample types.