Automated nanoscale flow cytometry for assessing protein-protein interactions

Area of Science:

• Cellular Biology
• Immunology
• Biophysics

Background:

• Protein-protein interactions are crucial for cellular signaling but challenging to analyze at the single-cell level.
• Existing methods lack the throughput and automation for rapid profiling of molecular associations.

Purpose of the Study:

• To develop and validate a robust automated Förster Resonance Energy Transfer (FRET) measurement system for analyzing protein-protein interactions in living cells.
• To apply this system for studying T lymphocyte activation and identifying defects in immunocompromised patients.

Main Methods:

• Implementation of a Förster Resonance Energy Transfer (FRET) measurement system on a commercial flow cytometer.
• Automated data acquisition and analysis for rapid profiling of molecular associations in single cells.
• Measurement of proximal signaling events during human T lymphocyte activation.

Main Results:

• The automated FRET system enabled rapid profiling of molecular associations in living cells.
• Proximal signaling events preceding calcium influx during T lymphocyte activation were successfully measured.
• The system automatically detected T cell receptor/CD3 complex clustering defects in immunocompromised patients.

Conclusions:

• The developed automated FRET flow cytometry system provides a robust and rapid method for analyzing protein-protein interactions at the single-cell level.
• This technology facilitates the study of cellular signaling pathways and the diagnosis of immune deficiencies.