ArticleBioMed research international2020
Identification of Functional Genes in Pterygium Based on Bioinformatics Analysis.
Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 12 citations in OpenAlex.
- mRNA and microRNA Expression Profile of Corneal and Conjunctival Impression Cytology Samples.Biology · 2026Article
- Complement C5a Promotes Epithelial-Mesenchymal Transition in Pterygium via C5aR Activation.Investigative ophthalmology & visual science · 2026Article
- Exploring the Role of tRNA-Derived Fragments in Pterygium: Molecular Insights into tsRNA-Mediated Fibroblast Regulation and Disease Progression.Current medicinal chemistry · 2026Article
- Co-host ncRNA MIR503HG/miR-503-5p antagonistically interfere with the crosstalk between fibroblasts and microvascular endothelial cells by affecting the production of LMW FGF2 in pterygium.International journal of ophthalmology · 2025Article
- Alteration of Gene Expression in Pathological Keratinization of the Ocular Surface.Investigative ophthalmology & visual science · 2024Article
- Multi-System-Level Analysis with RNA-Seq on Pterygium Inflammation Discovers Association between Inflammatory Responses, Oxidative Stress, and Oxidative Phosphorylation.International journal of molecular sciences · 2024Article
- Key Genes of Immunity Associated with Pterygium and Primary Sjögren's Syndrome.International journal of molecular sciences · 2023Article
- The Profile of MicroRNA Expression and Potential Role in the Regulation of Drug-Resistant Genes in Cisplatin- and Paclitaxel-Resistant Ovarian Cancer Cell Lines.International journal of molecular sciences · 2022Article
- Expression profiling suggests the involvement of hormone-related, metabolic, and Wnt signaling pathways in pterygium progression.Frontiers in endocrinology · 2022Article
- Identification of the circRNA-miRNA-mRNA Regulatory Network in Pterygium-Associated Conjunctival Epithelium.BioMed research international · 2022Article
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Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe competing endogenous RNA (ceRNA) network regulatory has been investigated in the occurrence and development of many diseases. This research aimed at identifying the key RNAs of ceRNA network in pterygium and exploring the underlying molecular mechanism.
methodsDifferentially expressed long noncoding RNAs (lncRNAs), microRNAs (miRNAs), and mRNAs were obtained from the Gene Expression Omnibus (GEO) database and analyzed with the R programming language. LncRNA and miRNA expressions were extracted and pooled by the GEO database and compared with those in published literature. The lncRNA-miRNA-mRNA network was constructed of selected lncRNAs, miRNAs, and mRNAs. Metascape was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses on mRNAs of the ceRNA network and to perform Protein-Protein Interaction (PPI) Network analysis on the String website to find candidate hub genes. The Comparative Toxicogenomic Database (CTD) was used to find hub genes closely related to pterygium. The differential expressions of hub genes were verified using the reverse transcription-real-time fluorescent quantitative PCR (RT-qPCR).
resultThere were 8 lncRNAs, 12 miRNAs, and 94 mRNAs filtered to construct the primary ceRNA network. A key lncRNA LIN00472 ranking the top 1 node degree was selected to reconstruct the LIN00472 network. The GO and KEGG pathway enrichment showed the mRNAs in ceRNA networks mainly involved in homophilic cell adhesion via plasma membrane adhesion molecules, developmental growth, regulation of neuron projection development, cell maturation, synapse assembly, central nervous system neuron differentiation, and PID FOXM1 PATHWAY. According to the Protein-Protein Interaction Network (PPI) analysis on mRNAs in LINC00472 network, 10 candidate hub genes were identified according to node degree ranking. Using the CTD database, we identified 8 hub genes closely related to pterygium; RT-qPCR verified 6 of them were highly expressed in pterygium.
conclusionOur research found LINC00472 might regulate 8 hub miRNAs (miR-29b-3p, miR-183-5p, miR-138-5p, miR-211-5p, miR-221-3p, miR-218-5p, miR-642a-5p, miR-5000-3p) and 6 hub genes (CDH2, MYC, CCNB1, RELN, ERBB4, RB1) in the ceRNA network through mainly PID FOXM1 PATHWAY and play an important role in the development of pterygium.
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