Expression and gene regulation network of RBM8A in hepatocellular carcinoma based on data mining
Expression and gene regulation network of RBM8A in hepatocellular carcinoma based on data mining
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基于数据挖掘的肝细胞癌中RBM8A的表达及基因调控网络
DOI：
10.18632/aging.101749
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发表时间：
2019-01-31
期刊：
影响因子：
5.2
通讯作者：
Mao, Yingwei
中科院分区：
文献类型：
--
作者：
Lin, Yan;Liang, Rong;Mao, Yingwei
RNA结合基序蛋白8A(RBM8A)是外显子连接复合体核心成分中的一种RNA结合蛋白。RBM8A表达异常与肿瘤的发生有关。我们利用来自癌症基因组图谱数据库和基因表达总览的测序数据，分析了RBM8A在肝细胞癌中的表达和基因调控网络。使用Oncomine(TM)和基因表达谱交互分析工具分析表达，而使用cBioPortal鉴定RBM8A改变和相关的功能网络。用LinkedOmics鉴定与RBM8A的差异基因表达，并分析基因本体学和京都百科全书的基因和基因组途径。基因浓缩分析检测了激酶、miRNAs和转录因子的目标网络。我们发现RBM8A基因在肝细胞癌中高表达，并且经常被扩增。该基因的表达与核糖体和RNA代谢信号通路相关的功能网络相连。功能网络分析表明，RBM8A通过涉及多种肿瘤相关激酶、miRNAs和E2F转录因子1的通路来调节剪接体、核糖体、DNA复制和细胞周期信号。我们的结果表明，数据挖掘有效地揭示了RBM8A在肝癌中的表达信息和潜在的调控网络，为进一步研究RBM8A在肿瘤发生中的作用奠定了基础。
RNA binding motif protein 8A (RBM8A) is an RNA binding protein in a core component of the exon junction complex. Abnormal RBM8A expression is associated with carcinogenesis. We used sequencing data from the Cancer Genome Atlas database and Gene Expression Omnibus, analyzed RBM8A expression and gene regulation networks in hepatocellular carcinoma (HCC). Expression was analyzed using Oncomine (TM) and Gene Expression Profiling Interactive Analysis tools, while RBM8A alterations and related functional networks were identified using cBioPortal. LinkedOmics was used to identify differential gene expression with RBM8A and to analyze Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways. Gene enrichment analysis examined target networks of kinases, miRNAs and transcription factors. We found that RBM8A is overexpressed and the RBM8A gene often amplified in HCC. Expression of this gene is linked to functional networks involving the ribosome and RNA metabolic signaling pathways. Functional network analysis suggested that RBM8A regulates the spliceosome, ribosome, DNA replication and cell cycle signaling via pathways involving several cancer-related kinases, miRNAs and E2F Transcription Factor 1. Our results demonstrate that data mining efficiently reveals information about RBM8A expression and potential regulatory networks in HCC, laying a foundation for further study of the role of RBM8A in carcinogenesis.