Evidence map›Paper›PMID 22417692›Full record

ArticleRNA (New York, N.Y.)2012

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

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 23 citations in OpenAlex.

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  15. High-content imaging of presynaptic assembly.Frontiers in cellular neuroscience · 2014
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 1 country.

Emmanuel BeillardDepartment of Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore 169857, Singapore.
Siau Chi Ong
Antonis Giannakakis
Ernesto Guccione
Leah A Vardy
P Mathijs Voorhoeve
Duke-NUS Medical School · SGBioinformatics Institute · SGInstitute of Medical Biology · SGInstitute of Molecular and Cell Biology · SGNational University of Singapore · SG

Funding

Worldwide Cancer Research 09-0126
6 · The paper itself

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.

Indexed as

Genes, Reporter3' Untranslated RegionsAnimalsArgonaute ProteinsBase SequenceCell LineGene ExpressionGene OrderGenetic VectorsHumansLuciferasesMiceMicroRNAsMolecular Sequence DataPoly AProtein Biosynthesis3' Untranslated RegionsArgonaute ProteinsLuciferasesMicroRNAsPoly ARNA, Messenger

Identifiers

PMID22417692
PMCPMC3334695
OpenAlexW2109017536

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.