| Literature DB >> 19037714 |
Z X Shan1, Q X Lin, M Yang, C Y Deng, S J Kuang, Z L Zhou, D Z Xiao, X Y Liu, S G Lin, X Y Yu.
Abstract
The RNA interference (RNAi) technique has been widely used in gene function studies. It is typical to screen for effective siRNAs by knocking down targeted genes since a single gene can be suppressed by several siRNAs to varying degrees. The miRNA-based short hairpin RNA (shRNA) is a natural inducer of RNAi and has been used in siRNA expression strategies. We investigated the potential application of multiple putative microRNA-based shRNAs for gene silencing and studied the inhibition efficiency of exogenous GFP and firefly luciferase (luc) by triple human mir155-based shRNA expression vectors. A total of three candidate siRNA sequences targeted against GFP or luc were selected based on an online prediction program. Single and triple miRNA-155-based shRNAs targeted against GFP or luc were transfected into HEK293 cells mediated by the pcDNA(3) vector with an RNA polymerase II-type CMV (cytomegalovirus) promoter. Comparisons with negative control shRNAs revealed that GFP levels were markedly reduced by the triple miRNA-155-based GFP shRNA by fluorescent microscopy. Consistent results from the dual luciferase assay and real-time quantitative RT-PCR revealed that the triple miRNA-155-based GFP shRNA significantly suppressed GFP expression (P < 0.01), without significant differences from the most effective single miRNA-155-based GFP shRNA (P > 0.05). Results from the dual luciferase assay and real-time quantitative RT-PCR revealed that the triple miRNA-155-based luc shRNA significantly suppressed luc expression as the most effective single miRNA-155-based luc shRNA (P < 0.05). These studies demonstrated the gene silencing efficiency mediated by the triple putative miRNA-155-based shRNAs. This suggested that multiple miRNA-based shRNAs are quick and valuable strategies for gene silencing.Entities:
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Year: 2008 PMID: 19037714 DOI: 10.1007/s11010-008-9966-3
Source DB: PubMed Journal: Mol Cell Biochem ISSN: 0300-8177 Impact factor: 3.396