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</script>doi: 10.1038/nbt1223
pmid: 16823371
Technologies that mediate targeted delivery of small interfering RNAs (siRNAs) are needed to improve their therapeutic efficacy and safety. Therefore, we have developed aptamer-siRNA chimeric RNAs capable of cell type-specific binding and delivery of functional siRNAs into cells. The aptamer portion of the chimeras mediates binding to PSMA, a cell-surface receptor overexpressed in prostate cancer cells and tumor vascular endothelium, whereas the siRNA portion targets the expression of survival genes. When applied to cells expressing PSMA, these RNAs are internalized and processed by Dicer, resulting in depletion of the siRNA target proteins and cell death. In contrast, the chimeras do not bind to or function in cells that do not express PSMA. These reagents also specifically inhibit tumor growth and mediate tumor regression in a xenograft model of prostate cancer. These studies demonstrate an approach for targeted delivery of siRNAs with numerous potential applications, including cancer therapeutics.
Cell Line, Tumor, Gene Targeting, Gene Transfer Techniques, Animals, Humans, Gene Silencing, Aptamers, Nucleotide, RNA, Small Interfering
Cell Line, Tumor, Gene Targeting, Gene Transfer Techniques, Animals, Humans, Gene Silencing, Aptamers, Nucleotide, RNA, Small Interfering
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 947 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
