| Literature DB >> 21321186 |
Xiaoyu Lin1, Leiming Li, Rongqi Wang, Denise Wilcox, Xiaobin Zhao, Jingfeng Song, Xiaoli Huang, T Matthew Hansen, Prasad Dande, Carol Wada, Robert D Hubbard, William M Kohlbrenner, Stephen W Fesik, Yu Shen.
Abstract
Delivering small interfering RNA (siRNA) to tumors is the major technical hurdle that prevents the advancement of siRNA-based cancer therapy. One of the difficulties associated with the development of clinically relevant delivery systems is the lack of reliable tools for monitoring siRNA delivery to tumors in vivo. We describe here a novel, positive-readout system where siRNA-mediated target knockdown elicits a rapid and robust increase of reporter activity. Using the positive-readout system, we created (1) β-galactosidase-based tumor models that allow the detection of target knockdown in 1%-2% of tumor cells and can distinguish between tumor areas where effective target knockdown occurs versus tumor areas that are not accessible to delivery, and (2) luciferase-based tumor models that allow the quantitative assessment of a large number of delivery systems. Using these positive-readout models, we screened a number of literature-described siRNA delivery systems and identified lipid nanoparticles as a promising delivery platform for siRNA-based cancer therapy.Entities:
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Year: 2011 PMID: 21321186 PMCID: PMC3062172 DOI: 10.1261/rna.2546011
Source DB: PubMed Journal: RNA ISSN: 1355-8382 Impact factor: 4.942