Kim, Hojun Park, Sungwook Kang, Benedict J. Jeong, Youngdo Lee, Hyojin Lee, Kwan Hyi 2024-01-19T21:01:24Z 2024-01-19T21:01:24Z 2021-09-02 2019-02 2156-8952 https://pubs.kist.re.kr/handle/201004/120425 The heterogeneous nature of tumor-cell populations suggests that quantitative analysis at the single-cell level may provide better insights into cancer biology. Specifically, detection of multiple biomarkers from a single cell offers important initial information about cellular behavior. However, conventional approaches limit biomarker detection at the single-cell level. Here, we fabricated a polymer microwell array to capture single cells from prostate-cancer cell lines and quantitatively analyzed the expression of three different cancer-related biomarkers, CD44, EpCAM, and PSMA, without a membrane protein-extraction step. The resulting information on cell-surface biomarker distributions was compared with that from other standard analytical techniques. Interestingly, a large variation in CD44-expression levels was observed when the cell-proliferation cycle was modulated. On the other hand, the expression levels of EpCAM in three different cell lines are consistent among the different analytical methods with the exception of the microarray, where it has a different substrate material to adhere to. This observation clearly emphasizes that biomarker choice and environmental control are critical for properly understanding the single-cell state. English AMER CHEMICAL SOC PROSTATE-CANCER QUANTUM DOTS EXPRESSION PROFILES ANDROGEN RECEPTOR FUSION GENES HETEROGENEITY CD44 ADENOCARCINOMA MUTATION Quantitative Single-Cell Analysis of Isolated Cancer Cells with a Microwell Array Article 10.1021/acscombsci.8b00151 1 ACS COMBINATORIAL SCIENCE, v.21, no.2, pp.98 - 104 ACS COMBINATORIAL SCIENCE 21 2 98 104 scie scopus 000458937500006 2-s2.0-85059772406 Chemistry, Applied Chemistry, Medicinal Chemistry, Multidisciplinary Chemistry Pharmacology & Pharmacy Article PROSTATE-CANCER QUANTUM DOTS EXPRESSION PROFILES ANDROGEN RECEPTOR FUSION GENES HETEROGENEITY CD44 ADENOCARCINOMA MUTATION prostate cancer quantitative profiling laboratory techniques single-cell analysis quantum dots microarray