Quantitative profiling of serum samples using TMT protein labelling, fractionation and LC-MS/MS

Area of Science:

• Biochemistry
• Proteomics
• Biomarker Discovery

Background:

• Early disease detection relies on identifying reliable blood-borne biomarkers.
• Current methods for serum and plasma protein profiling need enhancement for effective biomarker discovery.

Purpose of the Study:

• To develop and validate a novel quantitative method for serum protein profiling.
• To improve the coverage and accuracy of proteomic analysis for biomarker discovery.

Main Methods:

• Quantitative analysis using amino-group labeling of serum proteins with isobaric tandem tags (TMT).
• Integration of immune-based depletion, gel electrophoresis, and anion exchange chromatography for protein separation.
• Differential endoproteinase treatment followed by liquid chromatography-tandem mass spectrometry.

Main Results:

• Achieved higher quantitative coverage of the serum proteome compared to peptide-based isobaric tagging methods.
• Demonstrated the method's potential by analyzing pre-diagnostic pancreatic cancer samples.
• Successfully quantified a wider range of serum proteins.

Conclusions:

• The developed protein-based quantitative method enhances serum proteome coverage for biomarker discovery.
• This technique shows promise for early disease detection, particularly for conditions like pancreatic cancer.
• The method provides a more comprehensive approach to biomarker identification in clinical proteomics.