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Aberrant expression of cell cycle and material metabolism related genes contributes to hepatocellular carcinoma occurrence

机译:细胞周期和材料代谢相关基因的异常表达有助于肝细胞癌发生

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This study aims to deepen our understanding of the molecular mechanism underlying the occurrence of hepatocellular carcinoma (HCC). We first downloaded a gene expression profile dataset GSE29721 (10 HCC and 10 control samples) from Gene Expression Omnibus database (http://www.ncbi.nlm.nih.govi geo/). Differentially expressed genes (DEGs) were identified by the paired t-test using limma package. Pathway and functional enrichment analyses were performed with DAVID tools. Transcription factors were annotated with TRANSFAC database and tumor associated genes (TAGs) were annotated with TAG and TSGene databases. Protein-protein interaction (PPI) network was conducted using STRING online tool and function module was further identified with BioNet package. Totally, 527 up-regulated DEGs and 587 down-regulated DEGs were identified. GO functional and KEGG pathway enrichment analyses showed that the up-regulated DEGs were mainly related to cell division and cell cycle, while the down-regulated DEGs were largely related to material metabolism, especially secondary metabolism. Proteins encoded by DEGs CDK1, BUB1, CDC20, NCAPG, NDC80, CDCA8, MAD2L1, CCNB1, CCNA2 and BIRC5 were hub genes with high degrees in the PPI network; further module analysis detected a subnetwork consisting of 55 proteins, such as CYP2B6, ACAA1, BHMT and ALDH2. Taken together, aberrant expression of cell cycle related genes (e.g., CDK1, CCNA2, CCNB1, BUB1, MAD2L1 and CDC20) and material metabolism related genes (e.g., CYP2B6, ACAA1, BHMT and ALDH2) may contribute to HCC occurrence. 2017 Elsevier GmbH. All rights reserved.
机译:本研究旨在加深我们对肝细胞癌发生潜在的分子机制的理解。我们首先从基因表达式omnibus数据库(http://www.ncbi.nlm.nih.govi geo /)下载了基因表达谱数据集gse29721(10 hcc和10个控制样本)。通过利用蕾丝封装通过配对的T检验鉴定差异表达基因(DEGS)。用大卫工具进行途径和功能性富集分析。转录因子用Transfac数据库注释,肿瘤相关基因(标签)用标签和Tsgene数据库注释。使用串在线工具进行蛋白质 - 蛋白质相互作用(PPI)网络,并通过双原双封装进一步识别功能模块。完全,鉴定了527个上调的DEG和587个下调的次数。 GO功能和KEGG途径浓缩分析表明,上调的次数主要与细胞分裂和细胞周期相关,而下调的次数主要与材料代谢,尤其是次生代谢有关。由DEGS CDK1,BUB1,CDC20,NCAPG,NDC80,CDCA8,MAD2L1,CCNB1,CCNA2和BIRC5编码的蛋白质是PPI网络中具有高程度的轮毂基因;进一步的模块分析检测到由55个蛋白质组成的子网,例如CYP2B6,ACAA1,BHMT和ALDH2。在一起,细胞周期相关基因的异常表达(例如,CDK1,CCNA2,CCNB1,BUB1,MAD2L1和CDC20)和材料代谢相关基因(例如,CYP2B6,ACAA1,BHMT和ALDH2)可能有助于HCC发生。 2017年Elsevier GmbH。版权所有。

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