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Updated: May 31, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Comprehensive chromatographic separations in proteomics.

P Donato¹, F Cacciola, L Mondello

¹Università Campus Bio-Medico, Via Álvaro del Portillo 21, 00128 Roma, Italy.

Journal of Chromatography. A

|June 22, 2011

Summary

Comprehensive liquid chromatography (LC) enhances proteomic analysis by combining separation modes for better identification and quantification. This review covers LC platforms, interfaces, and mass spectrometry integration for complex protein samples.

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Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

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Published on: April 1, 2017

Area of Science:

Proteomics
Analytical Chemistry
Chromatography

Background:

Proteomic analysis faces challenges in achieving high separation power and detection sensitivity for protein identification and quantification.
Existing separation systems often struggle with the complexity of proteomic samples, necessitating advanced analytical techniques.

Purpose of the Study:

To review various applications of comprehensive liquid chromatography (LC) for analyzing intact or digested proteins.
To highlight the advantages and disadvantages of different column combinations, interfaces, and operating modes in comprehensive LC platforms.
To emphasize the integration of mass spectrometry with comprehensive LC systems.

Main Methods:

Exploration of different separation modes combined in two-dimensional liquid chromatography (2D-LC) platforms.
Review of various column chemistries, interfaces, and operational strategies for comprehensive LC.
Discussion of the synergy between comprehensive LC and mass spectrometry (MS) for enhanced proteomic analysis.

Main Results:

Comprehensive LC platforms offer enhanced separation power and sensitivity compared to one-dimensional methods.
Different combinations of LC dimensions provide tailored solutions for specific proteomic challenges.
Integration with MS significantly improves the identification and quantification capabilities of LC-based proteomic workflows.

Conclusions:

Comprehensive LC is a powerful strategy for addressing the complexities of proteomic analysis.
Careful selection of columns, interfaces, and operating modes is crucial for optimizing comprehensive LC performance.
The combination of comprehensive LC with mass spectrometry represents a state-of-the-art approach in modern proteomics.