4.7 Article

Targeted imaging and induction of apoptosis of drug-resistant hepatoma cells by miR-122-loaded graphene-InP nanocompounds

期刊

JOURNAL OF NANOBIOTECHNOLOGY
卷 15, 期 -, 页码 -

出版社

BIOMED CENTRAL LTD
DOI: 10.1186/s12951-016-0237-2

关键词

Graphene oxide; Quantum dots; MiR-122; Cell apoptosis; Near infrared; Liver cancer

资金

  1. NSFC [81301305, 81300654, 61401217, 21545006]
  2. Jiangsu provincial key research and development program [BE2016620]
  3. Jiangsu planned projects for postdoctoral research funds [1601010C]
  4. medical science and technology development foundation, Nanjing Department of Health [JQX15010, YKK15155]

向作者/读者索取更多资源

Background: Currently, graphene oxide has attracted growing attention as a drug delivery system due to its unique characteristics. Furthermore, utilization of microRNAs as biomarkers and therapeutic strategies would be particularly attractive because of their biological mechanisms and relatively low toxicity. Therefore, we have developed functionalized nanocompounds consisted of graphene oxide, quantum dots and microRNA, which induced cancer cells apoptosis along with targeted imaging. Results: In the present study, we synthesized a kind of graphene-P-gp loaded with miR-122-InP@ZnS quantum dots nanocomposites (GPMQNs) that, in the presence of glutathione, provides controlled release of miR-122. The miR-122 actively targeted liver tumor cells and induced their apoptosis, including drug-resistant liver tumor cells. We also explored the near-infrared fluorescence and potential utility for targeting imaging of InP@ZnS quantum dots. To further understand the molecular mechanism of GPMQNs-induced apoptosis of drug-resistant HepG2/ADM hepatoma cells, the relevant apoptosis proteins and signal pathways were explored in vitro and in vivo. Furthermore, near-infrared GPMQNs, which exhibited reduced photon scattering and auto-fluorescence, were applied for tumor imaging in vivo to allow for deep tissue penetration and three-dimensional imaging. Conclusion: In conclusion, techniques using GPMQNs could provide a novel targeted treatment for liver cancer, which possessed properties of targeted imaging, low toxicity, and controlled release.

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