Evidence map›Paper›PMID 31144476›Full record

ArticleMolecular genetics & genomic medicine2019

Circular RNA expression profiles and bioinformatics analysis in ovarian endometriosis.

Dandan Wang, Yajuan Luo, Guangwei Wang, Qing Yang

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 32 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

4 authors at 1 institution in 1 country.

Dandan WangDepartment of Obstetrics & Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.ORCID 0000-0001-8466-8830
Yajuan LuoDepartment of Obstetrics & Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Guangwei WangDepartment of Obstetrics & Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Qing YangDepartment of Obstetrics & Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCircular RNAs (circRNAs) with miRNA response elements (MREs) could function as competing endogenous RNA (ceRNA) in regulating gene expression, thus playing vital roles in pathogenesis and progression of many diseases. However, the function of circRNAs in endometriosis remains unknown. This study was carried to profile the expression patterns of circRNAs in ovarian endometriosis.

methodsHigh throughput RNA-Seq was performed in six paired ectopic and eutopic endometrium tissues (ecEM vs. euEM), followed by quantitative real-time polymerase chain reaction (qRT-PCR) in 30 paired samples. Through bioinformatics prediction, we constructed a circRNA-miRNA -mRNA network and elucidated circRNAs functions by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses.

resultsA total of 146 upregulated and 148 downregulated circRNAs were identified, binding with 2,495 MREs. The qRT-PCR validation results of four upregulated circRNAs matched the RNA-Seq data. The ceRNA network included 48 miRNAs and 296 mRNAs. Functional analysis revealed several important pathways such as MAPK signaling pathway, and PI3K-AKT signaling pathway, which might be associated with the pathogenesis and development of endometriosis.

conclusionOur data suggested that circRNAs are differentially expressed in endometriosis, which might be candidate factors for pathogenesis of this disease and be considered as promising therapeutic targets in the future.

Indexed as

AdultChinaComputational BiologyEndometriosisFemaleGene ExpressionGene Regulatory NetworksHumansMicroRNAsOvarian NeoplasmsOvaryPhosphatidylinositol 3-KinasesReal-Time Polymerase Chain ReactionRNA, CircularRNA, MessengerSignal TransductionMicroRNAsPhosphatidylinositol 3-KinasesRNA, CircularRNA, MessengercircRNAsendometriosismiRNAsmRNAs

Identifiers

PMID31144476
PMCPMC6637292
OpenAlexW2947694770

What OpenQuestion holds

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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.