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Mol Syst Biol. 2010 Nov 16;6:433. doi: 10.1038/msb.2010.89.

mRNA turnover rate limits siRNA and microRNA efficacy.

Author information

  • 1Computational Biology Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. larsson@cbio.mskcc.org

Abstract

The microRNA pathway participates in basic cellular processes and its discovery has enabled the development of si/shRNAs as powerful investigational tools and potential therapeutics. Based on a simple kinetic model of the mRNA life cycle, we hypothesized that mRNAs with high turnover rates may be more resistant to RNAi-mediated silencing. The results of a simple reporter experiment strongly supported this hypothesis. We followed this with a genome-wide scale analysis of a rich corpus of experiments, including RT-qPCR validation data for thousands of siRNAs, siRNA/microRNA overexpression data and mRNA stability data. We find that short-lived transcripts are less affected by microRNA overexpression, suggesting that microRNA target prediction would be improved if mRNA turnover rates were considered. Similarly, short-lived transcripts are more difficult to silence using siRNAs, and our results may explain why certain transcripts are inherently recalcitrant to perturbation by small RNAs.

PMID:
21081925
[PubMed - indexed for MEDLINE]
PMCID:
PMC3010119
Free PMC Article

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