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pmid:33664765

Construction of Circular RNA-MicroRNA-Messenger RNA Regulatory Network of Recurrent Implantation Failure to Explore Its Potential Pathogenesis.

Jiahuan Luo · Li Zhu · Ning Zhou · Yuanyuan Zhang · Lirong Zhang · Ruopeng Zhang

Frontiers in genetics · 2020 doi:10.3389/fgene.2020.627459

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:33664765
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science-record
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sha256:7ae6979e1a7ed2ea5890aaee0363a98bbbf54be08df543fc6bdb2f02011bf79b
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:41:27Z
updated_at
2026-11-01T22:46:13Z
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paper object · 10 fields
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title
Construction of Circular RNA-MicroRNA-Messenger RNA Regulatory Network of Recurrent Implantation Failure to Explore Its Potential Pathogenesis.
doi
10.3389/fgene.2020.627459
pmid
33664765
authors array · 6 items
[0]
Jiahuan Luo
[1]
Li Zhu
[2]
Ning Zhou
[3]
Yuanyuan Zhang
[4]
Lirong Zhang
[5]
Ruopeng Zhang
journal
Frontiers in genetics
year
2020
abstract
Background: Many studies on circular RNAs (circRNAs) have recently been published. However, the function of circRNAs in recurrent implantation failure (RIF) is unknown and remains to be explored. This study aims to determine the regulatory mechanisms of circRNAs in RIF. Methods: Microarray data of RIF circRNA (GSE147442), microRNA (miRNA; GSE71332), and messenger RNA (mRNA; GSE103465) were downloaded from the Gene Expression Omnibus (GEO) database to identify differentially expressed circRNA, miRNA, and mRNA. The circRNA-miRNA-mRNA network was constructed by Cytoscape 3.8.0 software, then the protein-protein interaction (PPI) network was constructed by STRING database, and the hub genes were identified by cytoHubba plug-in. The circRNA-miRNA-hub gene regulatory subnetwork was formed to understand the regulatory axis of hub genes in RIF. Finally, the Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of the hub genes were performed by clusterProfiler package of Rstudio software, and Reactome Functional Interaction (FI) plug-in was used for reactome analysis to comprehensively analyze the mechanism of hub genes in RIF. Results: A total of eight upregulated differentially expressed circRNAs (DECs), five downregulated DECs, 56 downregulated differentially expressed miRNAs (DEmiRs), 104 upregulated DEmiRs, 429 upregulated differentially expressed genes (DEGs), and 1,067 downregulated DEGs were identified regarding RIF. The miRNA response elements of 13 DECs were then predicted. Seven overlapping miRNAs were obtained by intersecting the predicted miRNA and DEmiRs. Then, 56 overlapping mRNAs were obtained by intersecting the predicted target mRNAs of seven miRNAs with 1,496 DEGs. The circRNA-miRNA-mRNA network and PPI network were constructed through six circRNAs, seven miRNAs, and 56 mRNAs; and four hub genes (YWHAZ, JAK2, MYH9, and RAP2C) were identified. The circRNA-miRNA-hub gene regulatory subnetwork with nine regulatory axes was formed in RIF. Functional enrichment analysis and reactome analysis showed that these four hub genes were closely related to the biological functions and pathways of RIF. Conclusion: The results of this study provide further understanding of the potential pathogenesis from the perspective of circRNA-related competitive endogenous RNA network in RIF.
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Data were extracted and normalized by RStudio software, and then DECs, DEmiRs, and DEGs in the endometrium of RIF patients were obtained by limma package based on the Bioconductor package.
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sections[4] "Identification of Differentially Expressed Circular RNAs, Differentially Expressed MicroRNAs, and Differentially Expressed Messenger RNAs" paragraph 2
quote
Data were extracted and normalized by RStudio software, and then DECs, DEmiRs, and DEGs in the endometrium of RIF patients were obtained by limma package based on the Bioconductor package.
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
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sections[19] "Data Availability Statement" paragraph 2
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The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
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Characterization of gene expression profile during the implantation phase in IVF cycles in endometrium of women with recurrent implantation failure
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Differentially expressed circRNAs in recurrent implantation failure
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Abberant miRNA expression profiles in recurrent implantation failure endometrium
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The top five genes obtained by the degree, betweenness centrality, and closeness centrality algorithms in cytoHubba plug-in.
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Identification of Four Hub Genes in Protein–Protein Interaction Network by cytoHubba Plug-In
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Table 1
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The top five genes obtained by the degree, betweenness centrality, and closeness centrality algorithms in cytoHubba plug-in.
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KEGG pathway analysis of four hub genes.
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Gene Ontology Annotation, Kyoto Encyclopedia of Genes and Genomes Pathway, and Reactome Pathway Analyses of Four Hub Genes
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KEGG pathway analysis of four hub genes.
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Reactome pathway analysis of four hub genes.
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Gene Ontology Annotation, Kyoto Encyclopedia of Genes and Genomes Pathway, and Reactome Pathway Analyses of Four Hub Genes
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Reactome pathway analysis of four hub genes.
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Data were extracted and normalized by RStudio software, and then DECs, DEmiRs, and DEGs in the endometrium of RIF patients were obtained by limma package based on the Bioconductor package.
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manuscript
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PMID 33664765 full text
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data:geo:GSE103465
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GEO GSE103465
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agent:corpus-assay-engine
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Data were extracted and normalized by RStudio software, and then DECs, DEmiRs, and DEGs in the endometrium of RIF patients were obtained by limma package based on the Bioconductor package.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33664765", "kind": "science-record", "revision": 8, "content_hash": "sha256:7ae6979e1a7ed2ea5890aaee0363a98bbbf54be08df543fc6bdb2f02011bf79b", "created_at": "2026-11-01T15:41:27Z", "updated_at": "2026-11-01T22:46:13Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Construction of Circular RNA-MicroRNA-Messenger RNA Regulatory Network of Recurrent Implantation Failure to Explore Its Potential Pathogenesis.", "doi": "10.3389/fgene.2020.627459", "pmid": "33664765", "authors": ["Jiahuan Luo", "Li Zhu", "Ning Zhou", "Yuanyuan Zhang", "Lirong Zhang", "Ruopeng Zhang"], "journal": "Frontiers in genetics", "year": 2020, "abstract": "Background: Many studies on circular RNAs (circRNAs) have recently been published. However, the function of circRNAs in recurrent implantation failure (RIF) is unknown and remains to be explored. This study aims to determine the regulatory mechanisms of circRNAs in RIF. Methods: Microarray data of RIF circRNA (GSE147442), microRNA (miRNA; GSE71332), and messenger RNA (mRNA; GSE103465) were downloaded from the Gene Expression Omnibus (GEO) database to identify differentially expressed circRNA, miRNA, and mRNA. The circRNA-miRNA-mRNA network was constructed by Cytoscape 3.8.0 software, then the protein-protein interaction (PPI) network was constructed by STRING database, and the hub genes were identified by cytoHubba plug-in. The circRNA-miRNA-hub gene regulatory subnetwork was formed to understand the regulatory axis of hub genes in RIF. Finally, the Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of the hub genes were performed by clusterProfiler package of Rstudio software, and Reactome Functional Interaction (FI) plug-in was used for reactome analysis to comprehensively analyze the mechanism of hub genes in RIF. Results: A total of eight upregulated differentially expressed circRNAs (DECs), five downregulated DECs, 56 downregulated differentially expressed miRNAs (DEmiRs), 104 upregulated DEmiRs, 429 upregulated differentially expressed genes (DEGs), and 1,067 downregulated DEGs were identified regarding RIF. The miRNA response elements of 13 DECs were then predicted. Seven overlapping miRNAs were obtained by intersecting the predicted miRNA and DEmiRs. Then, 56 overlapping mRNAs were obtained by intersecting the predicted target mRNAs of seven miRNAs with 1,496 DEGs. The circRNA-miRNA-mRNA network and PPI network were constructed through six circRNAs, seven miRNAs, and 56 mRNAs; and four hub genes (YWHAZ, JAK2, MYH9, and RAP2C) were identified. The circRNA-miRNA-hub gene regulatory subnetwork with nine regulatory axes was formed in RIF. Functional enrichment analysis and reactome analysis showed that these four hub genes were closely related to the biological functions and pathways of RIF. 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