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Updated: Mar 8, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
Automated platform of μLC-MS/MS using SAX trap column for highly efficient phosphopeptide analysis
Xionghua Sun1, Xiaogang Jiang2
1College of Pharmaceutical Sciences, Soochow University, 199 Renai Road, Suzhou, Jiangsu, 215123, China.
A novel automated nanoflow liquid chromatography-tandem mass spectrometry (μLC-MS/MS) system using a strong anion exchange (SAX) trap column significantly enhances phosphopeptide identification for phosphoproteomic analysis.
Area of Science:
- Proteomics
- Analytical Chemistry
- Biochemistry
Background:
- Phosphoproteomics is crucial for understanding cellular signaling.
- Existing μLC-MS/MS methods face challenges in comprehensive phosphopeptide enrichment and identification.
- Automated systems are needed for high-throughput phosphoproteomic studies.
Purpose of the Study:
- To develop and evaluate an automated μLC-MS/MS system for improved phosphopeptide analysis.
- To investigate the efficacy of a strong anion exchange (SAX) trap column in phosphopeptide enrichment.
Main Methods:
- A specialized automated nanoflow liquid chromatography-tandem mass spectrometer (μLC-MS/MS) system was designed.
- A strong anion exchange (SAX) trap column was integrated for initial phosphopeptide capture.
- Phosphopeptides were loaded at high flow rate, then eluted onto a C18 analytical column.
- The system's performance was assessed using phosphopeptides from mouse liver lysate.
Main Results:
- The SAX trap column system identified significantly more phosphopeptides compared to a conventional C18 trap column system.
- The developed system demonstrated full automation capabilities.
- High throughput phosphoproteomic analysis is a promising application.
Conclusions:
- The novel automated μLC-MS/MS system with a SAX trap column offers superior performance for phosphopeptide identification.
- This approach is highly effective for high-throughput phosphoproteomic studies.
- The system provides a valuable tool for advancing phosphoproteomics research.
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