Evidence map›Paper›PMID 25074381›Full record

ArticleNucleic acids research2014

3'LIFE: a functional assay to detect miRNA targets in high-throughput.

Justin M Wolter, Kasuen Kotagama, Alexandra C Pierre-Bez, Mari Firago, Marco Mangone

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
1.3field-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

30 citing papers in PubMed, 52 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Justin M WolterSchool of Life Sciences, Arizona State University, 427 E Tyler Mall, Tempe, AZ 85287, USA Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, 1001 S. McAllister Dr., Tempe, AZ 85287, USA.
Kasuen KotagamaSchool of Life Sciences, Arizona State University, 427 E Tyler Mall, Tempe, AZ 85287, USA Barrett, The Honors College, Arizona State University, 751 E Lemon Mall, Tempe, AZ 85287, USA.
Alexandra C Pierre-BezVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, 1001 S. McAllister Dr., Tempe, AZ 85287, USA.
Mari FiragoSchool of Life Sciences, Arizona State University, 427 E Tyler Mall, Tempe, AZ 85287, USA.
Marco MangoneSchool of Life Sciences, Arizona State University, 427 E Tyler Mall, Tempe, AZ 85287, USA Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, 1001 S. McAllister Dr., Tempe, AZ 85287, USA Barrett, The Honors College, Arizona State University, 751 E Lemon Mall, Tempe, AZ 85287, USA mangone@asu.edu.
Arizona State University · US

Funding

Detection and validation of miRNA targets in breast cancerR21CA179144 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MANGONE, MARCO · 2014 to 2015
$354k
NCI NIH HHS R21 CA179144
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are short non-coding RNAs that regulate gene output at the post-transcriptional level by targeting degenerate elements primarily in 3'untranslated regions (3'UTRs) of mRNAs. Individual miRNAs can regulate networks of hundreds of genes, yet for the majority of miRNAs few, if any, targets are known. Misexpression of miRNAs is also a major contributor to cancer progression, thus there is a critical need to validate miRNA targets in high-throughput to understand miRNAs' contribution to tumorigenesis. Here we introduce a novel high-throughput assay to detect miRNA targets in 3'UTRs, called Luminescent Identification of Functional Elements in 3'UTRs (3'LIFE). We demonstrate the feasibility of 3'LIFE using a data set of 275 human 3'UTRs and two cancer-relevant miRNAs, let-7c and miR-10b, and compare our results to alternative methods to detect miRNA targets throughout the genome. We identify a large number of novel gene targets for these miRNAs, with only 32% of hits being bioinformatically predicted and 27% directed by non-canonical interactions. Functional analysis of target genes reveals consistent roles for each miRNA as either a tumor suppressor (let-7c) or oncogenic miRNA (miR-10b), and preferentially target multiple genes within regulatory networks, suggesting 3'LIFE is a rapid and sensitive method to detect miRNA targets in high-throughput.

Indexed as

3' Untranslated RegionsBase SequenceConserved SequenceHEK293 CellsHumansLuminescent MeasurementsMicroRNAsNeoplasmsRNA, Messenger3' Untranslated RegionsMicroRNAsRNA, Messenger

Identifiers

PMID25074381
PMCPMC4176154
OpenAlexW2002337172

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.