Label-free proteomics of serum

Area of Science:

• Biochemistry
• Proteomics
• Analytical Chemistry

Background:

• The human serum proteome contains potential biomarkers for various diseases.
• Analyzing the serum proteome is challenging due to the high abundance of a few proteins.

Purpose of the Study:

• To develop and describe a method for analyzing human serum proteome.
• To identify disease-related changes in serum protein profiles.
• To validate the method using spiked samples and cervical cancer patient data.

Main Methods:

• Immunoaffinity chromatography to remove the six most abundant serum proteins.
• Trypsin digestion of remaining proteins.
• On-line coupling of reversed-phase high-performance liquid chromatography (HPLC) with mass spectrometry (MS).
• Statistical analysis of complex data sets to identify significant differences.

Main Results:

• The described methodology enables the analysis of low-abundance serum proteins.
• The method was applied to serum samples from cervical cancer patients before and after therapy.
• Horse heart cytochrome c was used as an internal standard for method validation.

Conclusions:

• This comprehensive method allows for the discovery of disease-specific alterations in the serum proteome.
• The approach is suitable for identifying potential biomarkers for early disease detection and monitoring treatment response.
• Further optimization using techniques like SDS-PAGE at elevated temperatures can enhance sensitivity.