Evidence map›Paper›PMID 25317074›Full record

ArticleInternational journal of medical sciences2014

A novel PCR-based approach to discover miRNA target genes.

Shiwei Duan, Yunliang Wang, Hongwei Wang, Shufei Wang, Lindan Ji, Dongjun Dai, Danjie Jiang, Xiaoxi Zhang, Qiang Wang

Open access · goldAbstract read
In one paragraph

Article in International journal of medical sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. miR-186 downregulates protein phosphatase PPM1B in bladder cancer and mediates G1-S phase transition.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
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

9 authors at 3 institutions in 2 countries.

Shiwei Duan1. Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, ZJ 315000, China.
Yunliang Wang2. The Neurology Department of the 148th Hospital of PLA, Zibo, SD 255300, China.
Hongwei Wang3. Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
Shufei Wang4. Biological Science Division, University of Chicago, Chicago, IL 60637, USA.
Lindan Ji1. Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, ZJ 315000, China.
Dongjun Dai1. Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, ZJ 315000, China.
Danjie Jiang1. Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, ZJ 315000, China.
Xiaoxi Zhang2. The Neurology Department of the 148th Hospital of PLA, Zibo, SD 255300, China.
Qiang Wang5. Department of Psychiatry, University of Chicago, Chicago, IL 60637, USA.
Ningbo University · CNUniversity of Chicago · USThe Fourth People's Hospital of Zibo City · CN

Funding

Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
NCATS NIH HHS UL1 TR000430
6 · The paper itself

Abstract

MiRNAs are potent regulators of gene expression, and most miRNAs have from several to several thousands of gene targets. Validating the numerous gene targets of a given miRNA remains challenging despite the existence of various tools and databases that predict candidate gene-miRNA pairs. In the present study, we present a high-throughput but flexible method that applies a PCR-based application to simulate the binding of miRNAs to their gene targets. Using hsa-miR-377 as an illustrative example, our method was able to identify 13 potential targets of hsa-miR-377. Moreover, our results include 2 genes (SOD2 and PPM1A) that have already been verified as targets of hsa-miR-377. Our method may provide an alternative way of identifying the gene targets of miRNAs for future research.

Indexed as

3' Untranslated RegionsBinding SitesCells, CulturedGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansMicroRNAsOligonucleotide Array Sequence AnalysisPhosphoprotein PhosphatasesPolymerase Chain ReactionProtein Phosphatase 2CRNA, MessengerSuperoxide DismutaseSuperoxide Dismutase 23' Untranslated RegionsMicroRNAsMIRN377 microRNA, humanPhosphoprotein PhosphatasesPPM1A protein, humanProtein Phosphatase 2CRNA, MessengerSuperoxide DismutaseSuperoxide Dismutase 2gene targethigh-throughput.hsa-miR-377miRNA

Identifiers

PMID25317074
PMCPMC4196129
OpenAlexW2122213733

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.