关键词: RNA-seq gene regulatory network (GRN) mouse embryonic fibroblast (MEF) spontaneous cell immortalization transcriptome profiling

Mesh : Animals Mice Fibroblasts / metabolism Gene Expression Profiling Transcriptome Gene Regulatory Networks Protein Interaction Maps / genetics Embryo, Mammalian / metabolism Gene Ontology

来  源:   DOI:10.3390/ijms25158116   PDF(Pubmed)

Abstract:
Cell immortalization, a hallmark of cancer development, is a process that cells can undergo on their path to carcinogenesis. Spontaneously immortalized mouse embryonic fibroblasts (MEFs) have been used for decades; however, changes in the global transcriptome during this process have been poorly described. In our research, we characterized the poly-A RNA transcriptome changes after spontaneous immortalization. To this end, differentially expressed genes (DEGs) were screened using DESeq2 and characterized by gene ontology enrichment analysis and protein-protein interaction (PPI) network analysis to identify the potential hub genes. In our study, we identified changes in the expression of genes involved in proliferation regulation, cell adhesion, immune response and transcriptional regulation in immortalized MEFs. In addition, we performed a comparative analysis with previously reported MEF immortalization data, where we propose a predicted gene regulatory network model in immortalized MEFs based on the altered expression of Mapk11, Cdh1, Chl1, Zic1, Hoxd10 and the novel hub genes Il6 and Itgb2.
摘要:
细胞永生化,癌症发展的标志,是细胞在致癌过程中可以经历的过程。自发永生化的小鼠胚胎成纤维细胞(MEFs)已经使用了几十年;然而,在这个过程中,全球转录组的变化描述得很差。在我们的研究中,我们表征了自发永生化后poly-ARNA转录组的变化。为此,使用DESeq2筛选差异表达基因(DEGs),并通过基因本体富集分析和蛋白质-蛋白质相互作用(PPI)网络分析进行表征,以鉴定潜在的hub基因。在我们的研究中,我们确定了与增殖调节有关的基因表达的变化,细胞粘附,永生化MEF中的免疫应答和转录调控。此外,我们与以前报道的MEF永生化数据进行了比较分析,在此,我们基于Mapk11,Cdh1,Chl1,Zic1,Hoxd10和新的hub基因Il6和Itgb2的表达改变,提出了永生化MEF中预测的基因调控网络模型。
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