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Updated: Jun 17, 2026

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)
Published on: May 20, 2013
2-D hydrophilic interaction liquid chromatography-RP separation in urinary proteomics--minimizing variability through
Håvard Loftheim1, Thien Duc Nguyen, Helle Malerød
1Department of Pharmaceutical Chemistry, School of Pharmacy, University of Oslo, Oslo, Norway.
This study optimized a bottom-up urinary proteomics workflow to maximize protein recovery and downstream compatibility. The streamlined method successfully identified 438 proteins from a single urine sample, showing potential for future urinary proteomic research.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Proteomics
Background:
- Urinary proteomics is crucial for biomarker discovery.
- Existing methods often face challenges in protein recovery and workflow compatibility.
Purpose of the Study:
- To optimize a bottom-up urinary proteomics workflow.
- To maximize protein recovery and ensure downstream compatibility.
- To enhance the information yield in urinary proteomic analysis.
Main Methods:
- Optimization of sample enrichment and desalting using centrifugal filtration.
- Adaptation of albumin (HSA) depletion using immunoaffinity chromatography for urine.
- Implementation of off-line 2-D liquid chromatography (HILIC-RP) for peptide separation.
- Minimization of sample handling to reduce process variability.
Main Results:
- Protein recoveries up to 97% achieved with 8 M urea; Tris-HCl/NaCl offered better downstream compatibility (88% recovery).
- Successful adaptation of HSA depletion for urine samples.
- High peak capacity, repeatability, and orthogonality demonstrated by the 2-D chromatographic system.
- Identification of 1668 peptides and 438 proteins from a single urine sample using low-resolution MS/MS.
Conclusions:
- The optimized and streamlined urinary proteomics method demonstrates significant potential for extensive proteomic studies.
- The workflow balances protein recovery, downstream compatibility, and data quality.
- This approach facilitates future advancements in urinary biomarker discovery and diagnostics.
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