ArticleFrontiers in bioengineering and biotechnology2022
Identification and Validation of miRNA-TF-mRNA Regulatory Networks in Uterine Fibroids.
Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Multi-omics Approaches for Biomarker Discovery of Uterine Fibroids: A Systematic Review.Advances in therapy · 2026Pooled it
- Machine learning methods identified cellular senescence-related hub molecules in sepsis-induced acute respiratory distress syndrome (ARDS) and their upstream regulatory network.Molecular biology reports · 2026Article
- Prenatal humid heat exposure and cord blood extracellular vesicle microRNA profiles in a Ghanaian Pregnancy Cohort: GRAPHS.Environmental epigenetics · 2026Article
- Deciphering the role of nicotinamide metabolism and melanin-related genes in acute myocardial infarction: a machine learning approach integrating bioinformatics analysis.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2025Article
- Silicosis: from pathogenesis to therapeutics.Frontiers in pharmacology · 2025Review
- Article
- PDGF-loaded microneedles promote tendon healing through p38/cyclin D1 pathway mediated angiogenesis.Materials today. Bio · 2022Article
- Identification and comprehensive analysis of circRNA-miRNA-mRNA regulatory networks in osteoarthritis.Frontiers in immunology · 2022Article
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Uterine fibroids (UF) are the most common benign gynecologic tumors and lead to heavy menstrual bleeding, severe anemia, abdominal pain, and infertility, which seriously harm a women's health. Unfortunately, the regulatory mechanisms of UF have not been elucidated. Recent studies have demonstrated that miRNAs play a vital role in the development of uterine fibroids. As a high-throughput technology, microarray is utilized to identify differentially expressed genes (DEGs) and miRNAs (DEMs) between UF and myometrium. We identified 373 candidate DEGs and the top 100 DEMs. Function enrichment analysis showed that candidate DEGs were mainly enriched in biological adhesion, locomotion and cell migration, and collagen-containing extracellular matrix. Subsequently, protein-protein interaction (PPI) networks are constructed to analyze the functional interaction between DEGs and screen hub DEGs. Subsequently, the expression levels of hub DEGs were validated by real-time PCR of clinical UF samples. The DGIdb database was used to select candidate drugs for hub DEGs. Molecular docking was applied to test the affinity between proteins and drugs. Furthermore, target genes for 100 candidate DEMs were predicted by miRwalk3.0. After overlapping with 373 candidate DEGs, 28 differentially expressed target genes (DEGTs) were obtained. A miRNA-mRNA network was constructed to investigate the interactions between miRNA and mRNA. Additionally, two miRNAs (hsa-miR-381-3p and hsa-miR-181b-5p) were identified as hub DEMs and validated through RT-PCR. In order to better elucidate the pathogenesis of UF and the synergistic effect between miRNA and transcription factor (TF), we constructed a miRNA-TF-mRNA regulatory network. Meanwhile,
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