High-throughput biomarker discovery and identification by mass spectrometry

Area of Science:

• Biomedical research
• Analytical chemistry
• Proteomics

Background:

• Native peptides and proteins are crucial for identifying diagnostic and therapeutic biomarkers.
• Biomarker discovery from patient samples is challenging due to biological complexity and individual variability.
• High-throughput screening with automation is essential for detecting relevant peptidic biomarkers.

Purpose of the Study:

• To describe a novel, fully automated technical approach for high-throughput peptide biomarker discovery and identification.
• To combine biomarker discovery and endogenous peptide identification within a single instrument and sample set.
• To enable efficient analysis of large sample cohorts for biomarker research.

Main Methods:

• Utilized a fully automated MALDI-TOF/TOF mass spectrometer for high-throughput analysis.
• Employed label-free relative quantification using Differential Peptide Display®.
• Performed sequence assignment via MALDI-TOF/TOF mass spectrometry in both overview and directed approaches.

Main Results:

• Achieved high-throughput analysis of thousands of chromatographic fractions daily, accommodating up to one hundred patient samples.
• Demonstrated a label-free relative quantification with a dynamic range of up to four orders of magnitude.
• Reported a typical limit of detection in the mid- to low-picomolar range for body fluids like plasma, urine, and cerebrospinal fluid.

Conclusions:

• The developed automated approach significantly enhances the efficiency of peptide biomarker discovery and identification.
• The method offers high sensitivity and a broad dynamic range, suitable for complex biological samples.
• This technology facilitates rapid characterization of peptide composition and identification of statistically significant biomarker candidates.