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Quantitative comparison of EGFR expression levels of optically trapped individual cells using a capacitance biosensor
Tae Young Kang1, Soojung Kim1, Soo Kyung Cho2
1Department of Cogno-Mechatronics Engineering, Pusan National University (PNU), Busan, 46241, Republic of Korea.
Biosensors & Bioelectronics
|April 27, 2023
Summary
This study developed a biosensor to measure single-cell capacitance changes during endocytosis. The device can differentiate cancer cells from normal cells and estimate epidermal growth factor receptor (EGFR) levels.
Area of Science:
- Biophysics
- Cell Biology
- Nanotechnology
Background:
- Cellular endocytosis is vital for cell functions like nutrient uptake and waste removal.
- Observing endocytosis at the single-cell level is crucial for understanding cellular processes.
- Existing methods lack the precision to measure real-time capacitance changes during single-cell endocytosis.
Purpose of the Study:
- To develop a novel biosensor for real-time, single-cell capacitance measurements during endocytosis.
- To investigate the capacitance responses of single cancer cells versus normal cells during epidermal growth factor (EGF) endocytosis.
- To establish a method for quantifying epidermal growth factor receptor (EGFR) expression levels based on cellular capacitance.
Main Methods:
- Integration of an optical tweezer for precise single-cell manipulation with a capacitance sensor and incubation chamber.
- Optical trapping of single HeLa (cancer) and NIH3T3 (normal) cells.
- Real-time measurement of single-cell capacitance changes during EGF molecule endocytosis.
Main Results:
- Single HeLa cells exhibited a greater increase in capacitance compared to NIH3T3 cells upon EGF exposure.
- Capacitance change directly correlated with the epidermal growth factor receptor (EGFR) expression level in tested cells.
- A derived equation accurately estimated EGFR expression levels in blind-tested cells.
Conclusions:
- The developed biosensor enables non-invasive, real-time monitoring of single-cell interactions with external ligands.
- The system can distinguish cellular responses between cancer and normal cells.
- This technology offers a new tool for quantifying EGFR levels and understanding cell-ligand interactions.

