Evidence map›Paper›PMID 25338953›Full record

ArticleEuropean journal of medical research2014

Construction of microRNA and transcription factor regulatory network based on gene expression data in cardiomyopathy.

Lei Wang, Jihua Hu, Haijian Xing, Min Sun, Juanli Wang, Qiang Jian, Hua Yang

Open access · goldAbstract read
In one paragraph

Article in European journal of medical research, 2014. 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, top 89% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 2 countries.

Lei WangDepartment of Cardiology, Xi'an Children's Hospital, 69 Xi Ju Rd, Lianhu District, Xi'an, 710003, China. xawanglei@163.com.
Jihua HuDepartment of Cardiology, Xi'an Children's Hospital, 69 Xi Ju Rd, Lianhu District, Xi'an, 710003, China. JihuaHujhh@163.com.
Haijian XingDepartment of Cardiology, Xi'an Children's Hospital, 69 Xi Ju Rd, Lianhu District, Xi'an, 710003, China. HaijianXinghjx@163.com.
Min SunDepartment of Cardiology, Xi'an Children's Hospital, 69 Xi Ju Rd, Lianhu District, Xi'an, 710003, China. MinSunms14@163.com.
Juanli WangDepartment of Cardiology, Xi'an Children's Hospital, 69 Xi Ju Rd, Lianhu District, Xi'an, 710003, China. JuanliWangjlw@163.com.
Qiang JianDepartment of Cardiology, Xi'an Children's Hospital, 69 Xi Ju Rd, Lianhu District, Xi'an, 710003, China. QiangJianqj@163.com.
Hua YangDepartment of Cardiology, Xi'an Children's Hospital, 69 Xi Ju Rd, Lianhu District, Xi'an, 710003, China. huayanghy14@163.com.
Xi’an Children’s Hospital · CNBoston Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiomyopathy is a progressive myocardial disorder. Here, we attempted to reveal the possible mechanism of cardiomyopathy at the transcription level with the roles of microRNAs (miRNAs) and transcription factors (TFs) taken into account.

methodWe firstly identified differentially expressed genes (DEGs) between cardiomyopathy patients and controls with data from the gene expression omnibus (GEO) database. DEGs were associated with the canonical pathways, molecular and cellular functions, physiological system development and function in the Ingenuity Knowledge Base by using the Ingenuity Pathway Analysis (IPA) software. TFs and miRNAs that DEGs significantly enriched were identified and a double-factor regulatory network was constructed.

resultsA total of 1,680 DEGs were identified. The DEGs were enriched for various pathways, with glucocorticoid receptor signaling as the most significant. A double-factor regulatory network was constructed, including seven TFs and two miRNAs. A subnetwork under the regulation of MEF2C and SRF was also constructed to illustrate their regulatory effects on cardiac functions.

conclusionOur results may provide new understanding of cardiomyopathy and may facilitate further therapeutic studies.

Indexed as

Gene Regulatory NetworksCardiomyopathiesGene ExpressionHumansMicroRNAsMyocardiumSignal TransductionTranscription FactorsMicroRNAsTranscription Factors

Identifiers

PMID25338953
PMCPMC4231188
OpenAlexW2109554152

What OpenQuestion holds

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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.