Strategy for high-throughput identification of protein complexes by array-based multi-dimensional liquid...

Area of Science:

• Proteomics
• Systems Biology
• Biochemistry

Background:

• Understanding multiprotein complex composition is crucial for deciphering biological systems.
• Current methods for mapping protein-protein interaction networks lack the throughput for large-scale analysis.

Purpose of the Study:

• To develop a high-throughput strategy for in-depth identification of protein complexes.
• To establish a robust protein-protein interaction network from human cell extracts.

Main Methods:

• Coupling array-based online two-dimensional liquid chromatography (2D-LC) with liquid chromatography-tandem mass spectrometry (LC-MS/MS).
• Utilizing mixed-bed ion-exchange for the first dimension and an array of reversed-phase columns for the second dimension.
• Employing public databases and co-elution curve analysis to reconstruct protein complexes.

Main Results:

• Achieved an 8-fold increase in throughput compared to conventional methods.
• Identified 4,436 proteins and generated 26,092 elution curves.
• Established a network of 47,745 protein-protein interactions among 2,201 proteins, revealing 1,530 high-confidence protein complexes.

Conclusions:

• The developed array-based 2D-LC-MS/MS system significantly enhances throughput for protein complex analysis.
• The identified protein-protein interactions provide insights into biological processes and potential disease mechanisms.
• This approach offers a powerful tool for advancing systems biology research.