Searching biomarker candidates in serum using multidimensional native chromatography. I. Enhanced separation method

Area of Science:

• Biochemistry
• Analytical Chemistry
• Proteomics

Background:

• Multidimensional proteome separation is crucial for comprehensive protein analysis.
• Existing methods face challenges in throughput and reproducibility.
• Non-denaturing techniques are vital for preserving protein function and interactions.

Purpose of the Study:

• To present an improved microplate-based, non-denaturing multidimensional proteome separation method.
• To characterize the enhanced separation capabilities and reliability.
• To lay the groundwork for biomarker discovery in accompanying research.

Main Methods:

• Integration of improved column arrays and a novel robotic system for automated sample processing.
• Orthogonal combination of size exclusion, anion exchange, and lectin affinity chromatography.
• Liquid chromatography-electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS) for peptide and protein identification.

Main Results:

• Simultaneous processing of multiple samples enhances intercomparison reliability.
• Identification of 32,288 peptides corresponding to 2,669 unique serum proteins.
• Demonstration of the method's capacity for high-throughput proteomic analysis.

Conclusions:

• The enhanced method offers improved performance for non-denaturing multidimensional proteome separation.
• The technique provides a robust platform for in-depth serum proteome analysis.
• This work facilitates the identification of potential protein biomarkers for disease research.