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Quantitative Single-Cell Analysis of Isolated Cancer Cells with a Microwell Array
Hojun Kim1, Sungwook Park1,2, Benedict J Kang1
1Center for Biomaterials, Biomedical Research Institute , Korea Institute of Science and Technology (KIST) , 5 Hwarang-ro 14-gil , Seongbuk-gu, Seoul 02792 , Republic of Korea.
ACS Combinatorial Science
|November 29, 2018
Summary
This study developed a polymer microwell array for single-cell analysis of prostate cancer biomarkers CD44, EpCAM, and PSMA. Results highlight the importance of biomarker selection and environmental conditions for accurate single-cell state interpretation.
Area of Science:
- Biotechnology
- Cancer Biology
- Single-Cell Analysis
Background:
- Tumor heterogeneity necessitates single-cell analysis for deeper cancer biology insights.
- Detecting multiple biomarkers on single cells provides crucial information on cellular behavior.
- Conventional methods face limitations in single-cell biomarker detection.
Purpose of the Study:
- To develop a novel polymer microwell array for quantitative single-cell biomarker analysis.
- To analyze the expression of CD44, EpCAM, and PSMA on prostate cancer cell lines.
- To compare single-cell biomarker expression data with standard analytical techniques.
Main Methods:
- Fabrication of a polymer microwell array for single-cell capture.
- Quantitative analysis of cell-surface biomarkers (CD44, EpCAM, PSMA) without protein extraction.
- Comparative analysis with conventional single-cell analytical techniques.
Main Results:
- Observed significant variation in CD44 expression linked to cell proliferation cycle modulation.
- Consistent EpCAM expression across cell lines and methods, except for microarray due to substrate differences.
- Demonstrated the feasibility of analyzing multiple biomarkers from single prostate cancer cells.
Conclusions:
- Biomarker selection is critical for accurate single-cell state assessment.
- Environmental control in single-cell analysis significantly impacts results.
- The developed microwell array offers a promising platform for advanced single-cell cancer research.
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