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子宫肌瘤中miRNA-TF-mRNA调控网络的鉴定与验证

Identification and Validation of miRNA-TF-mRNA Regulatory Networks in Uterine Fibroids.

作者信息

Peng Xiaotong, Mo Yanqun, Liu Junliang, Liu Huining, Wang Shuo

机构信息

Department of Gynaecology and Obstetrics, Xiangya Hospital, Central South University, Changsha, China.

Department of Orthopaedics, Shanghai Jiaotong University Affiliated Sixth People's Hospital, Shanghai, China.

出版信息

Front Bioeng Biotechnol. 2022 Mar 22;10:856745. doi: 10.3389/fbioe.2022.856745. eCollection 2022.

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, results suggested that dysregulated hub DEMs were associated with the proliferation, migration, and apoptosis of UF cells. Our findings provided a novel horizon to reveal the internal mechanism and novel targets for the diagnosis and treatment of UF.

摘要

子宫肌瘤(UF)是最常见的妇科良性肿瘤,可导致月经过多、严重贫血、腹痛和不孕,严重损害女性健康。不幸的是,子宫肌瘤的调控机制尚未阐明。最近的研究表明,miRNA在子宫肌瘤的发生发展中起着至关重要的作用。作为一种高通量技术,微阵列用于鉴定子宫肌瘤组织与子宫肌层之间的差异表达基因(DEG)和miRNA(DEM)。我们鉴定出373个候选DEG和前100个DEM。功能富集分析表明,候选DEG主要富集于生物黏附、运动和细胞迁移以及含胶原蛋白的细胞外基质。随后,构建蛋白质-蛋白质相互作用(PPI)网络以分析DEG之间的功能相互作用并筛选枢纽DEG。随后,通过临床子宫肌瘤样本的实时PCR验证枢纽DEG的表达水平。利用DGIdb数据库为枢纽DEG选择候选药物。应用分子对接来测试蛋白质与药物之间的亲和力。此外,通过miRwalk3.0预测100个候选DEM的靶基因。与373个候选DEG重叠后,获得28个差异表达靶基因(DEGT)。构建miRNA-mRNA网络以研究miRNA与mRNA之间的相互作用。此外,鉴定出两个miRNA(hsa-miR-381-3p和hsa-miR-181b-5p)作为枢纽DEM,并通过RT-PCR进行验证。为了更好地阐明子宫肌瘤的发病机制以及miRNA与转录因子(TF)之间的协同作用,我们构建了miRNA-TF-mRNA调控网络。同时,结果表明失调的枢纽DEM与子宫肌瘤细胞的增殖、迁移和凋亡有关。我们的研究结果为揭示子宫肌瘤的内在机制以及诊断和治疗的新靶点提供了新的视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/451b/8981149/d6c3ac3d2bee/fbioe-10-856745-g012.jpg

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