miR-sens - A retroviral dual-luciferase reporter to detect microRNA activity in primary cells

Emmanuel Beillard, Siau Chi Ong, Antonis Giannakakis, Ernesto Guccione, Leah A. Vardy, P. Mathijs Voorhoeve

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

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.

Original languageEnglish
Pages (from-to)1091-1100
Number of pages10
JournalRNA
Volume18
Issue number5
DOIs
StatePublished - May 2012
Externally publishedYes

Keywords

  • Dual luciferase
  • MicroRNA
  • Primary cells
  • Retrovirus
  • UTR

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