Integrative Analysis of Microarray Data to Reveal Regulation Patterns in the Pathogenesis of Hepatocellular Carcinoma.
Integrative Analysis of Microarray Data to Reveal Regulation Patterns in the Pathogenesis of Hepatocellular Carcinoma.
复制标题
微阵列数据的综合分析以揭示肝细胞癌发病机理中的调节模式。
DOI：
10.5009/gnl16063
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发表时间：
2017-01-15
期刊：
影响因子：
3.4
通讯作者：
Lu Y
中科院分区：
文献类型：
--
作者：
Chen J;Qian Z;Li F;Li J;Lu Y
整合多个谱数据和构建一个转录调控网络可能会提供更多的见解肝细胞癌（HCC）的分子机制。本研究旨在探讨肝细胞癌中基因的失调和转录调控网络。HCC基因表达数据集的综合分析在Gene Expression Omnibus中进行。对差异表达基因进行功能注释。此外，转录因子（TF）的鉴定，并构建了一个全球性的转录调控网络。对HCC的8个合格基因表达谱的综合分析导致1，835个DEG。与细胞周期与各种肿瘤密切相关的事实相一致，功能注释揭示了参与细胞周期的基因显著富集。使用62个TF构建了一个转录调控网络，该网络由HCC背景下56个TF和672个DEG之间的872个TF-靶标相互作用组成。覆盖最下游DEG的前10个TF是ZNF 354C、NFATC 2、ARID 3A、BRCA 1、ZNF 263、FOXD 1、GATA 3、FOXO 3、FOXL 1和NR 4A2。该网络将吸引未来的研究人员专注于HCC的发展。转录调控网络可以提供额外的信息，这是有价值的，在了解肝肿瘤发生的潜在分子机制。
The integration of multiple profiling data and the construction of a transcriptional regulatory network may provide additional insights into the molecular mechanisms of hepatocellular carcinoma (HCC). The present study was conducted to investigate the deregulation of genes and the transcriptional regulatory network in HCC. An integrated analysis of HCC gene expression datasets was performed in Gene Expression Omnibus. Functional annotation of the differentially expression genes (DEGs) was conducted. Furthermore, transcription factors (TFs) were identified, and a global transcriptional regulatory network was constructed. An integrated analysis of eight eligible gene expression profiles of HCC led to 1,835 DEGs. Consistent with the fact that the cell cycle is closely related to various tumors, the functional annotation revealed that genes involved in the cell cycle were significantly enriched. A transcriptional regulatory network was constructed using the 62 TFs, which consisted of 872 TF-target interactions between 56 TFs and 672 DEGs in the context of HCC. The top 10 TFs covering the most downstream DEGs were ZNF354C, NFATC2, ARID3A, BRCA1, ZNF263, FOXD1, GATA3, FOXO3, FOXL1, and NR4A2. This network will appeal to future investigators focusing on the development of HCC. The transcriptional regulatory network can provide additional information that is valuable in understanding the underlying molecular mechanism in hepatic tumorigenesis.