miR-Sens—a retroviral dual-luciferase reporter to detect microRNA activity in primary cells
- Emmanuel Beillard1,
- Siau Chi Ong1,
- Antonis Giannakakis2,
- Ernesto Guccione3,
- Leah A. Vardy4 and
- P. Mathijs Voorhoeve1,5,6
- 1Department of Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore 169857, Singapore
- 2Bioinformatics Institute, Matrix, Singapore 138671, Singapore
- 3Institute of Molecular and Cell Biology, Proteos, Singapore 138673, Singapore
- 4Institute of Medical Biology, Immunos, Singapore 138648, Singapore
- 5Department of Biochemistry, National University of Singapore, Singapore 117597, Singapore
Abstract
MicroRNA–mRNA interactions are commonly validated and deconstructed in cell lines transfected with luciferase reporters. However, due to cell type-specific variations in microRNA or RNA-binding protein abundance, such assays may not reliably reflect microRNA activity in other cell types that are less easily transfected. In order to measure miRNA activity in primary cells, we constructed miR-Sens, a MSCV-based retroviral vector that encodes both a Renilla luciferase reporter gene controlled by microRNA binding sites in its 3′ UTR and a Firefly luciferase normalization gene. miR-Sens sensors can be efficiently transduced in primary cells such as human fibroblasts and mammary epithelial cells, and allow the detection of overexpressed and, more importantly, endogenous microRNAs. Notably, we find that the relative luciferase activity is correlated to the miRNA expression, allowing quantitative measurement of microRNA activity. We have subsequently validated the miR-Sens 3′ UTR vectors with known human miRNA-372, miRNA-373, and miRNA-31 targets (LATS2 and TXNIP). Overall, we observe that miR-Sens-based assays are highly reproducible, allowing detection of the independent contribution of multiple microRNAs to 3′ UTR–mediated translational control of LATS2. In conclusion, miR-Sens is a new tool for the efficient study of microRNA activity in primary cells or panels of cell lines. This vector will not only be useful for studies on microRNA biology, but also more broadly on other factors influencing the translation of mRNAs.
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Footnotes
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↵6 Corresponding author.
E-mail mathijs.voorhoeve{at}gmail.com.
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Article published online ahead of print. Article and publication date are at http://www.rnajournal.org/cgi/doi/10.1261/rna.031831.111.
- Received December 9, 2011.
- Accepted February 1, 2012.
- Copyright © 2012 RNA Society










