Evidence map›Paper›PMID 29760609›Full record

ArticleHereditas2018

Identification of potential crucial genes and construction of microRNA-mRNA negative regulatory networks in osteosarcoma.

Yue Pan, Lingyun Lu, Junquan Chen, Yong Zhong, Zhehao Dai

Open access · goldAbstract read
In one paragraph

Article in Hereditas, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

20 citing papers in PubMed, 35 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 2 institutions in 1 country.

Yue Pan1Department of Spine Surgery, the Second Xiangya Hospital, Central South University, Changsha, 410011 China.
Lingyun LuDepartment of Orthopaedics, the Fifth Hospital of Xiamen, Xiamen, 361101 China.
Junquan Chen1Department of Spine Surgery, the Second Xiangya Hospital, Central South University, Changsha, 410011 China.
Yong Zhong3Department of Nephrology, Xiangya Hospital of Central South University, Changsha, 410008 China.
Zhehao Dai1Department of Spine Surgery, the Second Xiangya Hospital, Central South University, Changsha, 410011 China.ORCID 0000-0001-9285-2494
Central South University · CNFifth Hospital of Shijiazhuang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to identify potential crucial genes and construction of microRNA-mRNA negative regulatory networks in osteosarcoma by comprehensive bioinformatics analysis.

methodsData of gene expression profiles (GSE28424) and miRNA expression profiles (GSE28423) were downloaded from GEO database. The differentially expressed genes (DEGs) and miRNAs (DEMIs) were obtained by R Bioconductor packages. Functional and enrichment analyses of selected genes were performed using DAVID database. Protein-protein interaction (PPI) network was constructed by STRING and visualized in Cytoscape. The relationships among the DEGs and module in PPI network were analyzed by plug-in NetworkAnalyzer and MCODE seperately. Through the TargetScan and comparing target genes with DEGs, the miRNA-mRNA regulation network was established.

resultsTotally 346

conclusionOur study indicated possible differentially expressed genes and miRNA, and microRNA-mRNA negative regulatory networks in osteosarcoma by bioinformatics analysis, which may provide novel insights for unraveling pathogenesis of osteosarcoma.

Indexed as

Gene Regulatory NetworksComputational BiologyGene OntologyHumansMicroRNAsOsteosarcomaProtein Interaction MapsRNA, MessengerTranscriptomeMicroRNAsRNA, MessengerBioinformaticsFunctional enrichment analysisOsteosarcomaRegulatory network

Identifiers

PMID29760609
PMCPMC5941338
OpenAlexW2806778617

What OpenQuestion holds

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LicenceCC BY
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.