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Polymerase II Promoter Strength Determines Efficacy of microRNA Adapted shRNAs

Overview of attention for article published in PLOS ONE, October 2011
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Title
Polymerase II Promoter Strength Determines Efficacy of microRNA Adapted shRNAs
Published in
PLOS ONE, October 2011
DOI 10.1371/journal.pone.0026213
Pubmed ID
Authors

Robert Jan Lebbink, Maggie Lowe, Theresa Chan, Htet Khine, Xiaoyin Wang, Michael T. McManus

Abstract

Since the discovery of RNAi and microRNAs more than 10 years ago, much research has focused on the development of systems that usurp microRNA pathways to downregulate gene expression in mammalian cells. One of these systems makes use of endogenous microRNA pri-cursors that are expressed from polymerase II promoters where the mature microRNA sequence is replaced by gene specific duplexes that guide RNAi (shRNA-miRs). Although shRNA-miRs are effective in directing target mRNA knockdown and hence reducing protein expression in many cell types, variability of RNAi efficacy in cell lines has been an issue. Here we show that the choice of the polymerase II promoter used to drive shRNA expression is of critical importance to allow effective mRNA target knockdown. We tested the abundance of shRNA-miRs expressed from five different polymerase II promoters in 6 human cell lines and measured their ability to drive target knockdown. We observed a clear positive correlation between promoter strength, siRNA expression levels, and protein target knockdown. Differences in RNAi from the shRNA-miRs expressed from the various promoters were particularly pronounced in immune cells. Our findings have direct implications for the design of shRNA-directed RNAi experiments and the preferred RNAi system to use for each cell type.

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The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 2%
United Kingdom 2 2%
France 1 <1%
Austria 1 <1%
Russia 1 <1%
United States 1 <1%
Haiti 1 <1%
Unknown 102 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 27%
Researcher 28 25%
Student > Master 15 14%
Student > Bachelor 5 5%
Professor > Associate Professor 5 5%
Other 15 14%
Unknown 13 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 43%
Biochemistry, Genetics and Molecular Biology 25 23%
Medicine and Dentistry 12 11%
Immunology and Microbiology 5 5%
Neuroscience 2 2%
Other 6 5%
Unknown 13 12%