Evidence map›Paper›PMID 27974127›Full record

ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2016

[Prediction of microRNA-296-5p target genes and its application in lung development].

Ying-Hui Zhang, Yang Yang, Cun Zhang, Yi-Fan Sun, Wen Zhu, Cheng-Ling Ma, Xiao-Yu Zhou

Abstract read
In one paragraph

Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

7 authors.

Ying-Hui ZhangDepartment of Neonatology, Children's Hospital of Nanjing Medical University, Nanjing 210008, China. xyzhou161@163.com.
Yang Yang
Cun Zhang
Yi-Fan Sun
Wen Zhu
Cheng-Ling Ma
Xiao-Yu Zhou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo predict the target genes of rno-microRNA-296-5p (miR-296) using bioinformatics software and databases, and to provide a theoretical basis for further studies of biological effects of miR-296 in fetal lung development.

methodsPubMed and Google were used to search for all reported literature on miR-296. The miRBase database was used to determine the sequence and evolutionary conservatism of miR-296. The TargetScans database was used to predict the target genes of miR-296. The DAVID Bioinformatics Resources 6.8 database was used for the functional enrichment analysis of the target genes. The KEGG database was used to analyze the signaling pathways of target genes.

resultsmiR-296 was reported to play important roles in many biological processes and have a high degree of sequence conservation among species. The target genes of miR-296 were involved in biological processes, cell components, and molecular function. Those target genes were significantly enriched in the mitogen-activated protein kinase signaling pathway, Wnt signaling pathway, and transforming growth factor-β signaling pathway (p<0.05).

conclusionsThe bioinformatics analysis of the target genes of miR-296 provides a basis for studying biological effects and mechanism of action of miR-296 in lung development.

Indexed as

Computational BiologyAnimalsHumansLungMAP Kinase Signaling SystemMicroRNAsTransforming Growth Factor betaWnt Signaling PathwayMicroRNAsMIRN296 microRNA, humanTransforming Growth Factor beta

Identifiers

PMID27974127
PMCPMC7403095

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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.