Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/86204
Title: Quantum dots-siRNA nanoplexes for gene silencing in central nervous system tumor cells
Authors: Lin, Guimiao
Chen, Ting
Zou, Jinyun
Wang, Yucheng
Wang, Xiaomei
Li, Jiefeng
Huang, Qijun
Fu, Zicai
Zhao, Yingying
Lin, Marie Chia-Mi
Xu, Gaixia
Yong, Ken-Tye
Keywords: Quantum Dots
RNA Interfering
Issue Date: 2017
Source: Lin, G., Chen, T., Zou, J., Wang, Y., Wang, X., Li, J., et al. (2017). Quantum Dots-siRNA Nanoplexes for Gene Silencing in Central Nervous System Tumor Cells. Frontiers in Pharmacology, 8, 182-.
Series/Report no.: Frontiers in Pharmacology
Abstract: RNA interfering (RNAi) using short interfering RNA (siRNA) is becoming a promising approach for cancer gene therapy. However, owing to the lack of safe and efficient carriers, the application of RNAi for clinical use is still very limited. In this study, we have developed cadmium sulphoselenide/Zinc sulfide quantum dots (CdSSe/ZnS QDs)-based nanocarriers for in vitro gene delivery. These CdSSe/ZnS QDs are functionalized with polyethyleneimine (PEI) to form stable nanoplex (QD-PEI) and subsequently they are used for siRNA loading which specially targets human telomerase reverse transcriptase (TERT). High gene transfection efficiency (>80%) was achieved on two glioblastoma cell lines, U87 and U251. The gene expression level (49.99 ± 10.23% for U87, 43.28 ± 9.66% for U251) and protein expression level (51.58 ± 7.88% for U87, 50.69 ± 7.59% for U251) of TERT is observed to decrease substantially after transfecting the tumor cells for 48 h. More importantly, the silencing of TERT gene expression significantly suppressed the proliferation of glioblastoma cells. No obvious cytotoxicity from these QD-PEI nanoplexes were observed over at 10 times of the transfected doses. Based on these results, we envision that QDs engineered here can be used as a safe and efficient gene nanocarrier for siRNA delivery and a promising tool for future cancer gene therapy applications.
URI: https://hdl.handle.net/10356/86204
http://hdl.handle.net/10220/45381
DOI: 10.3389/fphar.2017.00182
Schools: School of Electrical and Electronic Engineering 
Rights: © 2017 Lin, Chen, Zou, Wang, Wang, Li, Huang, Fu, Zhao, Lin, Xu and Yong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Fulltext Permission: open
Fulltext Availability: With Fulltext
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