ArticleBioMed research international2019
Identification and Interaction Analysis of Significant Genes and MicroRNAs in Pterygium.
Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Transcriptomics and network analysis highlight potential pathways in the pathogenesis of pterygium.Scientific reports · 2022Pooled it
- 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
- Differentially expressed profiles of LncRNAs in pterygium.BMC ophthalmology · 2025Article
- Key Genes of Immunity Associated with Pterygium and Primary Sjögren's Syndrome.International journal of molecular sciences · 2023Article
- Expression profiling suggests the involvement of hormone-related, metabolic, and Wnt signaling pathways in pterygium progression.Frontiers in endocrinology · 2022Article
- Characterization of the Cellular Microenvironment and Novel Specific Biomarkers in Pterygia Using RNA Sequencing.Frontiers in medicine · 2021Article
- Comparative Transcriptomic Analysis to Identify the Important Coding and Non-coding RNAs Involved in the Pathogenesis of Pterygium.Frontiers in genetics · 2021Article
- Identification of Functional Genes in Pterygium Based on Bioinformatics Analysis.BioMed research international · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeMiRNAs have been widely analyzed in the occurrence and development of many diseases, including pterygium. This study aimed to identify the key genes and miRNAs in pterygium and to explore the underlying molecular mechanisms.
methodsMiRNA expression was initially extracted and pooled by published literature. Microarray data about differentially expressed genes was downloaded from Gene Expression Omnibus (GEO) database and analyzed with the R programming language. Functional and pathway enrichment analyses were performed using the database for Annotation, Visualization and Integrated Discovery (DAVID). The protein-protein interaction network was constructed with the STRING database. The associations between chemicals, differentially expressed miRNAs, and differentially expressed genes were predicted using the online resource. All the networks were constructed using Cytoscape.
resultsWe found that 35 miRNAs and 301 genes were significantly differentially expressed. Functional enrichment analysis showed that upregulated genes were significantly enriched in extracellular matrix (ECM) organization, while downregulated genes were mainly involved in cell death and apoptotic process. Finally, we concluded the chemical-gene affected network, miRNA-mRNA interacted networks, and significant pathway network.
conclusionWe identified lists of differentially expressed miRNAs and genes and their possible interaction in pterygium. The networks indicated that ECM breakdown and EMT might be two major pathophysiological mechanisms and showed the potential significance of PI3K-Akt signalling pathway. MiR-29b-3p and collagen family (COL4A1 and COL3A1) might be new treatment target in pterygium.
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