Dual-targeting siRNAs
Autor: | Britta Höhn, Ali Ehsani, Katrin Tiemann, Stephen J. Forman, John J. Rossi, Pål Sætrom |
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Rok vydání: | 2010 |
Předmět: |
STAT3 Transcription Factor
Small interfering RNA Transcription Genetic Trans-acting siRNA Genes myc Method Computational biology Kidney Polymerase Chain Reaction Cell Line Suppression Genetic RNA interference microRNA Gene silencing Humans RNA Messenger RNA Small Interfering Molecular Biology Genetics Gene knockdown biology Base Sequence RNA Protein Biosynthesis biology.protein Proto-Oncogene Proteins c-bcl-6 Algorithms Dicer |
Zdroj: | RNA (New York, N.Y.). 16(6) |
ISSN: | 1469-9001 |
Popis: | We have developed an algorithm for the prediction of dual-targeting short interfering RNAs (siRNAs) in which both strands are deliberately designed to separately target different mRNA transcripts with complete complementarity. An advantage of this approach versus the use of two separate duplexes is that only two strands, as opposed to four, are competing for entry into the RNA-induced silencing complex. We chose to design our dual-targeting siRNAs as Dicer substrate 25/27mer siRNAs, since design features resembling pre-microRNAs (miRNAs) can be introduced for Dicer processing. Seven different dual-targeting siRNAs targeting genes that are potential targets in cancer therapy have been developed including Bcl2, Stat3, CCND1, BIRC5, and MYC. The dual-targeting siRNAs have been characterized for dual target knockdown in three different cell lines (HEK293, HCT116, and PC3), where they were as effective as their corresponding single-targeting siRNAs in target knockdown. The algorithm developed in this study should prove to be useful for predicting dual-targeting siRNAs in a variety of different targets and is available from http://demo1.interagon.com/DualTargeting/. |
Databáze: | OpenAIRE |
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