中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
PEI-Coated Fe3O4 Nanoparticles Enable Efficient Delivery of Therapeutic siRNA Targeting REST into Glioblastoma Cells

文献类型:期刊论文

作者Wang, Rui1,2; Degirmenci, Volkan3; Xin, Hongchuan4; Li, Ying1,2; Wang, Liping1,2; Chen, Jiayu1,2; Hu, Xiaoyu5; Zhang, Dianbao1,2
刊名INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
出版日期2018-08-01
卷号19期号:8页码:11
ISSN号1422-0067
关键词nanoparticles iron oxide siRNA delivery REST NRSF glioblastoma gene therapy
DOI10.3390/ijms19082230
英文摘要Glioblastomas (GBM) are the most frequent brain tumors lacking efficient treatment. The increasingly elucidated gene targets make siRNA-based gene therapy a promising anticancer approach, while an efficient delivery system is urgently needed. Here, polyethyleneimine (PEI)-coated Fe3O4 nanoparticles (NPs) have been developed and applied for siRNA delivery into GBM cells to silence repressor element 1-silencing transcription factor (REST). The prepared PEI-coated Fe3O4 NPs were characterized as magnetic nanoparticles with a positive charge, by transmission electronic microscopy, dynamic light-scattering analysis and a magnetometer. By gel retardation assay, the nanoparticles were found to form complexes with siRNA and the interaction proportion of NP to siRNA was 2.8:1. The cellular uptake of NP/siRNA complexes was verified by prussian blue staining, fluorescence labeling and flow cytometry in U-87 and U-251 GBM cells. Furthermore, the REST silencing examined by realtime polymerase chain reaction (PCR) and Western blotting presented significant reduction of REST in transcription and translation levels. Upon the treatment of NP/siRNA targeting REST, the GBM cell viabilities were inhibited and the migration capacities were repressed remarkably, analyzed by cell counting kit-8 and transwell assay separately. In this study, we demonstrated the PEI-coated Fe3O4 nanoparticle as a vehicle for therapeutic siRNA delivery, at an appropriate NP/siRNA weight ratio for REST silencing in GBM cells, inhibiting cell proliferation and migration efficiently. These might represent a novel potential treatment strategy for GBM.
WOS关键词IN-VITRO ; TEMOZOLOMIDE ; PROGRESS ; CANCER ; GLIOMA
资助项目National Natural Science Foundation of China[81703102] ; Foundation of China Medical University[XZR20160022] ; Undergraduate Training Program for Innovation and Entrepreneurship of Liaoning Province[201810159151] ; Undergraduate Training Program for Innovation and Entrepreneurship of Liaoning Province[201810159193]
WOS研究方向Biochemistry & Molecular Biology ; Chemistry
语种英语
出版者MDPI
WOS记录号WOS:000442869800082
资助机构National Natural Science Foundation of China ; Foundation of China Medical University ; Undergraduate Training Program for Innovation and Entrepreneurship of Liaoning Province
源URL[http://ir.qibebt.ac.cn/handle/337004/11724]  
专题中国科学院青岛生物能源与过程研究所
通讯作者Zhang, Dianbao
作者单位1.China Med Univ, Dept Stem Cells & Regenerat Med, Key Lab Cell Biol, Minist Publ Hlth China, Shenyang 110122, Liaoning, Peoples R China
2.China Med Univ, Key Lab Med Cell Biol, Minist Educ China, Shenyang 110122, Liaoning, Peoples R China
3.Univ Warwick, Sch Engn, Coventry CV4 7AL, W Midlands, England
4.Chinese Acad Sci, Qingdao Inst Bioenergy & Bioproc Technol, Qingdao 266101, Peoples R China
5.China Med Univ, Coll Basic Med Sci, Shenyang 110122, Liaoning, Peoples R China
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Wang, Rui,Degirmenci, Volkan,Xin, Hongchuan,et al. PEI-Coated Fe3O4 Nanoparticles Enable Efficient Delivery of Therapeutic siRNA Targeting REST into Glioblastoma Cells[J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES,2018,19(8):11.
APA Wang, Rui.,Degirmenci, Volkan.,Xin, Hongchuan.,Li, Ying.,Wang, Liping.,...&Zhang, Dianbao.(2018).PEI-Coated Fe3O4 Nanoparticles Enable Efficient Delivery of Therapeutic siRNA Targeting REST into Glioblastoma Cells.INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES,19(8),11.
MLA Wang, Rui,et al."PEI-Coated Fe3O4 Nanoparticles Enable Efficient Delivery of Therapeutic siRNA Targeting REST into Glioblastoma Cells".INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES 19.8(2018):11.

入库方式: OAI收割

来源:青岛生物能源与过程研究所

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