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Single-Cell Electrical Phenotyping Enabling the Classification of Mouse Tumor Samples.
Yang Zhao1, Mei Jiang2, Deyong Chen1
1State Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, P.R. China, 100190.
Single-cell electrical properties, like specific membrane capacitance and cytoplasm conductivity, can now classify mouse tumors. This label-free biophysical marker approach differentiates between adenocarcinoma and large-cell carcinoma tumor types.
Area of Science:
- Biophysics
- Oncology
- Biomedical Engineering
Background:
- Single-cell electrical phenotyping offers label-free biophysical markers for tumor evaluation.
- Previous research differentiated tumor cell lines but not real tumor samples.
- Tumor classification using cellular electrical properties remains an underexplored area.
Purpose of the Study:
- To investigate the feasibility of using single-cell electrical properties for classifying distinct mouse tumor types.
- To establish and compare the specific membrane capacitance (Cm) and cytoplasm conductivity (σp) of two different mouse tumor models.
Main Methods:
- Developed custom microfluidic platforms for single-cell electrical phenotyping.
- Constructed mouse tumor models by injecting A549 (adenocarcinoma) and H1299 (large-cell carcinoma) cell lines.
- Performed immunohistochemistry to confirm tumor histology and single-cell electrical measurements (Cm and σp) on retrieved tumor samples.
Main Results:
- Immunohistochemistry confirmed adenocarcinoma for A549 and large-cell carcinoma for H1299 based tumors.
- A549 tumors exhibited Cm of 2.25 ± 0.50 μF/cm² and σp of 0.96 ± 0.20 S/m.
- H1299 tumors showed Cm of 1.76 ± 0.54 μF/cm² and σp of 1.35 ± 0.28 S/m.
- Significant differences in Cm and σp were observed between the two tumor types.
Conclusions:
- Single-cell electrical properties, specifically Cm and σp, are effective label-free biophysical markers for classifying distinct mouse tumor types.
- This study validates the use of cellular electrical phenotyping for differentiating between adenocarcinoma and large-cell carcinoma in a preclinical setting.
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