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Updated: Jan 28, 2026

Glycoproteomics of the Extracellular Matrix: A Method for Intact Glycopeptide Analysis Using Mass Spectrometry
Published on: April 21, 2017
Exploring Extracellular Matrix Degradomes by TMT-TAILS N-Terminomics.
Elizabeta Madzharova1, Fabio Sabino1, Ulrich Auf dem Keller2
1Department of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark.
Terminal amine isotopic labeling of substrates (TAILS) is a quantitative proteomics method for profiling protein N termini. This approach enables simultaneous identification of natural, protease-generated, and modified N termini in complex samples.
Area of Science:
- Proteomics
- Biochemistry
- Mass Spectrometry
Background:
- Global characterization of protein N termini is crucial for understanding proteome dynamics in health and disease.
- Advancements in mass spectrometry-based proteomics have enabled new methods for investigating protein N termini and protease substrates.
Purpose of the Study:
- To present a detailed protocol for Tandem Mass Tag (TMT)-Terminal amine isotopic labeling of substrates (TAILS) analysis.
- To discuss considerations for interpreting N-terminome data obtained using Proteome Discoverer™ software.
Main Methods:
- Terminal amine isotopic labeling of substrates (TAILS) utilizes isotopic labeling of primary amines and an amine-reactive polymer (HPG-ALD).
- This method achieves depletion of internal tryptic peptides and enrichment of protein N termini via negative selection.
- The protocol details TMT-TAILS analysis for quantitative profiling.
Main Results:
- TAILS allows for the simultaneous identification of natural N termini, protease-generated neo-N termini, and modified N termini (e.g., acetylation).
- The method is suitable for high-throughput, system-wide profiling of protein N termini in complex biological matrices.
Conclusions:
- TMT-TAILS provides a robust quantitative proteomics approach for comprehensive N-terminome analysis.
- This method facilitates a deeper understanding of proteome dynamics and diversity in various biological states.
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