Frontiers in plasma proteome profiling platforms: innovations and applications

Area of Science:

• Biochemistry
• Proteomics
• Precision Medicine

Background:

• Biomarkers in biofluids are key for precision medicine, enabling targeted diagnosis and treatment.
• Plasma and serum proteomics face challenges in sensitivity and quantification due to complexity and dynamic range.
• Conventional workflows struggle with low-abundance proteins and manual processes, hindering large cohort studies.

Purpose of the Study:

• To compare plasma proteomic profiling workflows for sensitivity, reproducibility, and scalability in biomarker discovery.
• To establish an automated and accurate methodology for large-scale plasma proteomic analysis.

Main Methods:

• Comparative analysis of different plasma proteomic profiling workflows.
• Utilized mass spectrometry for protein detection and quantification.
• Focused on automation and reproducibility for large cohort studies.

Main Results:

• Proteograph XT workflow demonstrated superior plasma proteome depth, quantitative accuracy, and reproducibility.
• The workflow is fully automated, overcoming manual limitations of conventional methods.
• Quantified proteins included key immune molecules (interleukins, cytokines) and receptors, valuable for early disease detection.

Conclusions:

• Proteograph XT workflow is a sensitive, reproducible, and automated solution for plasma proteomic profiling.
• This method facilitates biomarker discovery in large cohorts, advancing precision medicine.
• Identified proteins offer potential for early disease detection and improved patient care quality.