Peng Xiaotong, Zhang Zhirong, Mo Yanqun, Liu Junliang, Wang Shuo, Liu Huining
Department of Gynaecology and Obstetrics, Xiangya Hospital, Central South University, Changsha, 410008, People's Republic of China.
Department of Orthopaedics, Shanghai Jiaotong University Affiliated Sixth People's Hospital, Shanghai, 200233, People's Republic of China.
Onco Targets Ther. 2021 Jun 29;14:3903-3919. doi: 10.2147/OTT.S311291. eCollection 2021.
The aim of the current research was to construct a miRNA-transcription factor (TF)-target gene regulatory network in order to investigate the mechanism underlying choriocarcinoma and to verify the network through the overexpression or silencing of hub miRNAs in vitro.
A mRNA expression dataset and two miRNA expression datasets were analysed to identify differentially expressed genes (DEGs) and miRNAs (DEMs) between normal cells and choriocarcinoma cells. The top 400 upregulated and downregulated DEGs were identified as candidate DEGs, which were then mapped to construct protein-protein interaction (PPI) networks and select hub genes. Moreover, the DGIdb database was utilized to select candidate drugs for hub genes. Moreover, DEM target genes were predicted through the miRWalk2.0 database and overlaid with candidate DEGs to identify the differentially expressed target genes (DETGs). Furthermore, we established miRNA-TF-target gene regulatory networks and performed functional enrichment analysis of hub DEMs. Finally, we transfected mimics or inhibitors of hub DEMs into choriocarcinoma cells and assessed cell proliferation and migration to verify the vital role of hub DEMs in choriocarcinoma.
A total of 140 DEMs and 400 candidate DEGs were screened from choriocarcinoma cells and normal cells. A PPI network of 400 candidate DEGs was established. Twenty-nine hub genes and 99 associated small molecules were identified to provide potential target drugs for choriocarcinoma treatment. We obtained 70 DETGs of DEMs derived from the intersection between predicted miRNA target genes and candidate DEGs. Subsequently, 3 hub DEMs were selected, and miRNA-TF-target gene regulatory networks containing 4 TFs, 3 TFs and 3 TFs for each network were constructed. The RT-PCR results confirmed that miR-29b-3p was highly expressed and that miR-519c-3p and miR-520a-5p were expressed at low levels in choriocarcinoma cells. The overexpression or silencing results suggested that 3 dysregulated hub DEMs jointly accelerated the proliferation and migration of choriocarcinoma.
Association of miRNA-TF-target gene regulatory networks may help us explore the underlying mechanism and provide potential targets for the diagnosis and treatment of choriocarcinoma.
本研究旨在构建一个miRNA-转录因子(TF)-靶基因调控网络,以探究绒毛膜癌的发病机制,并通过体外过表达或沉默关键miRNA来验证该网络。
分析一个mRNA表达数据集和两个miRNA表达数据集,以鉴定正常细胞与绒毛膜癌细胞之间的差异表达基因(DEGs)和miRNA(DEMs)。确定前400个上调和下调的DEGs作为候选DEGs,然后将其映射以构建蛋白质-蛋白质相互作用(PPI)网络并选择枢纽基因。此外,利用DGIdb数据库为枢纽基因选择候选药物。此外,通过miRWalk2.0数据库预测DEM靶基因,并与候选DEGs进行比对,以鉴定差异表达的靶基因(DETGs)。此外,我们建立了miRNA-TF-靶基因调控网络,并对关键DEM进行了功能富集分析。最后,我们将关键DEM的模拟物或抑制剂转染到绒毛膜癌细胞中,并评估细胞增殖和迁移情况,以验证关键DEM在绒毛膜癌中的重要作用。
从绒毛膜癌细胞和正常细胞中筛选出总共140个DEM和400个候选DEG。建立了400个候选DEG的PPI网络。鉴定出29个枢纽基因和99个相关小分子,为绒毛膜癌治疗提供了潜在的靶药物。我们从预测的miRNA靶基因与候选DEG的交集获得了70个DEM的DETG。随后,选择了3个关键DEM,并构建了每个网络分别包含4个TF、3个TF和3个TF的miRNA-TF-靶基因调控网络。RT-PCR结果证实,miR-29b-3p在绒毛膜癌细胞中高表达,而miR-519c-3p和miR-520a-5p表达水平较低。过表达或沉默结果表明,3个失调的关键DEM共同促进了绒毛膜癌的增殖和迁移。
miRNA-TF-靶基因调控网络的关联可能有助于我们探索潜在机制,并为绒毛膜癌的诊断和治疗提供潜在靶点。