Evidence map›Paper›PMID 28132651›Full record

ArticleGenetics research2017

Effective experimental validation of miRNA targets using an improved linker reporter assay.

Cheolwon Choi, James Han, Nguyen Thi Thao Tran, Seulgi Yoon, Goeun Kim, Sujung Song, Youngjo Kim, Seongho Ryu

Abstract readValidation Study
In one paragraph

Article in Genetics research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Cheolwon ChoiSoonchunhyang Institute of Med-bioscience (SIMS),Sunchunhyang University,Chonan-Si,336-745,Republic of Korea.
James HanGreat Oak High School,Temecula,CA,USA.
Nguyen Thi Thao TranSoonchunhyang Institute of Med-bioscience (SIMS),Sunchunhyang University,Chonan-Si,336-745,Republic of Korea.
Seulgi YoonSoonchunhyang Institute of Med-bioscience (SIMS),Sunchunhyang University,Chonan-Si,336-745,Republic of Korea.
Goeun KimSoonchunhyang Institute of Med-bioscience (SIMS),Sunchunhyang University,Chonan-Si,336-745,Republic of Korea.
Sujung SongSoonchunhyang Institute of Med-bioscience (SIMS),Sunchunhyang University,Chonan-Si,336-745,Republic of Korea.
Youngjo KimSoonchunhyang Institute of Med-bioscience (SIMS),Sunchunhyang University,Chonan-Si,336-745,Republic of Korea.
Seongho RyuSoonchunhyang Institute of Med-bioscience (SIMS),Sunchunhyang University,Chonan-Si,336-745,Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

miRNAs are small, non-coding RNAs that play critical roles in various cellular processes. Although there are several algorithms that can predict the potential candidate genes that are regulated by a miRNA, these algorithms require further experimental validation in order to demonstrate genuine targets of miRNAs. Moreover, most algorithms predict hundreds to thousands of putative target genes for each miRNA, and it is difficult to validate all candidates using the whole 3'-untranslated region (UTR) reporter assay. We report a fast, simple and efficient experimental approach to screening miRNA candidate targets using a 3'-UTR linker assay. Critically, the linker has only a short miRNA regulatory element sequence of approximately 22 base pairs in length and can provide a benefit for screening strong miRNA candidates for further validation using the whole 3'-UTR sequence. Our technique will provide a simplified platform for the high-throughput screening of miRNA target gene validation.

Indexed as

3' Untranslated RegionsBase SequenceBiomarkers, TumorBlotting, WesternComputational BiologyGene Expression Regulation, NeoplasticHEK293 CellsHumansLuciferasesMicroRNAsNeoplasmsRNA, Messenger3' Untranslated RegionsBiomarkers, TumorLuciferasesMicroRNAsRNA, Messenger

Identifiers

PMID28132651
PMCPMC6865141

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.