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Article Open Access

Quantum dot-based molecular imaging of cancer cell growth using a clone formation assay

  • Authors:
    • Xia‑Fei Geng
    • Min Fang
    • Shao‑Ping Liu
    • Yan Li
  • View Affiliations / Copyright

    Affiliations: Department of Oncology, Hubei Key Laboratory of Tumor Biological Behaviors and Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China, Medical Research Center, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China
    Copyright: © Geng et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 3007-3012
    |
    Published online on: August 18, 2016
       https://doi.org/10.3892/mmr.2016.5632
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Abstract

This aim of the present study was to investigate clonal growth behavior and analyze the proliferation characteristics of cancer cells. The MCF‑7 human breast cancer cell line, SW480 human colon cancer cell line and SGC7901 human gastric cancer cell line were selected to investigate the morphology of cell clones. Quantum dot‑based molecular targeted imaging techniques (which stained pan‑cytokeratin in the cytoplasm green and Ki67 in the cell nucleus yellow or red) were used to investigate the clone formation rate, cell morphology, discrete tendency, and Ki67 expression and distribution in clones. From the cell clone formation assay, the MCF‑7, SW480 and SGC7901 cells were observed to form clones on days 6, 8 and 12 of cell culture, respectively. These three types of cells had heterogeneous morphology, large nuclear:cytoplasmic ratios, and conspicuous pathological mitotic features. The cells at the clone periphery formed multiple pseudopodium. In certain clones, cancer cells at the borderline were separated from the central cell clusters or presented a discrete tendency. With quantum dot‑based molecular targeted imaging techniques, cells with strong Ki67 expression were predominantly shown to be distributed at the clone periphery, or concentrated on one side of the clones. In conclusion, cancer cell clones showed asymmetric growth behavior, and Ki67 was widely expressed in clones of these three cell lines, with strong expression around the clones, or aggregated at one side. Cell clone formation assay based on quantum dots molecular imaging offered a novel method to study the proliferative features of cancer cells, thus providing a further insight into tumor biology.
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Copy and paste a formatted citation
Spandidos Publications style
Geng XF, Fang M, Liu SP and Li Y: Quantum dot-based molecular imaging of cancer cell growth using a clone formation assay. Mol Med Rep 14: 3007-3012, 2016.
APA
Geng, X., Fang, M., Liu, S., & Li, Y. (2016). Quantum dot-based molecular imaging of cancer cell growth using a clone formation assay. Molecular Medicine Reports, 14, 3007-3012. https://doi.org/10.3892/mmr.2016.5632
MLA
Geng, X., Fang, M., Liu, S., Li, Y."Quantum dot-based molecular imaging of cancer cell growth using a clone formation assay". Molecular Medicine Reports 14.4 (2016): 3007-3012.
Chicago
Geng, X., Fang, M., Liu, S., Li, Y."Quantum dot-based molecular imaging of cancer cell growth using a clone formation assay". Molecular Medicine Reports 14, no. 4 (2016): 3007-3012. https://doi.org/10.3892/mmr.2016.5632
Copy and paste a formatted citation
x
Spandidos Publications style
Geng XF, Fang M, Liu SP and Li Y: Quantum dot-based molecular imaging of cancer cell growth using a clone formation assay. Mol Med Rep 14: 3007-3012, 2016.
APA
Geng, X., Fang, M., Liu, S., & Li, Y. (2016). Quantum dot-based molecular imaging of cancer cell growth using a clone formation assay. Molecular Medicine Reports, 14, 3007-3012. https://doi.org/10.3892/mmr.2016.5632
MLA
Geng, X., Fang, M., Liu, S., Li, Y."Quantum dot-based molecular imaging of cancer cell growth using a clone formation assay". Molecular Medicine Reports 14.4 (2016): 3007-3012.
Chicago
Geng, X., Fang, M., Liu, S., Li, Y."Quantum dot-based molecular imaging of cancer cell growth using a clone formation assay". Molecular Medicine Reports 14, no. 4 (2016): 3007-3012. https://doi.org/10.3892/mmr.2016.5632
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