Literature DB >> 19165234

Multitarget therapy of malignant cancers by the head-to-tail tandem array multiple shRNAs expression system.

T L Cheng1, C F Teng, W H Tsai, C W Yeh, M P Wu, H C Hsu, C F Hung, W T Chang.   

Abstract

Coexpression of multiple shRNAs can simultaneously inhibit multiple genes or target multiple sites on a single gene. These approaches can be used for dissecting complex signaling pathways and even be applied to targeting multiple genes in cancer therapy. Here we established a simple and efficient multiple shRNAs expression system based on pSUPER, the most popular expression vector in mammalian cells. A series of head-to-tail tandem array multiple shRNAs expression vectors were constructed containing different combinations of six shRNA expression cassettes targeting genes involved in cell proliferation and survival pathways: Bcl-2, Survivin, Akt1, Erk2, CyclinE and NFkappaB. In HeLa and HEK293 cells, the multiple shRNAs expression constructs could efficiently and simultaneously induce inhibition of all six genes. We further evaluated the inhibition effects of the multiple shRNAs expression vectors on the human prostate cancer cell line PC3, which contains different cell variants with distinct oncogenic signaling alterations. The results revealed that the multiple shRNAs expression system could inhibit all six genes and was much more efficient in inducing apoptosis in the PC3 cells. Our results suggest that the multitarget shRNAs expression system could be an effective strategy in cancer therapy and be applied to any other DNA vector-based shRNA expression system.

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Year:  2009        PMID: 19165234     DOI: 10.1038/cgt.2008.102

Source DB:  PubMed          Journal:  Cancer Gene Ther        ISSN: 0929-1903            Impact factor:   5.987


  11 in total

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Review 5.  Accelerating cancer modeling with RNAi and nongermline genetically engineered mouse models.

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10.  miR-Synth: a computational resource for the design of multi-site multi-target synthetic miRNAs.

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Journal:  Nucleic Acids Res       Date:  2014-03-13       Impact factor: 16.971

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