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基于生物信息学分析的肝细胞癌关键基因和微小RNA的鉴定与相互作用分析

Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.

作者信息

Mou Tong, Zhu Di, Wei Xufu, Li Tingting, Zheng Daofeng, Pu Junliang, Guo Zhen, Wu Zhongjun

机构信息

Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.

出版信息

World J Surg Oncol. 2017 Mar 16;15(1):63. doi: 10.1186/s12957-017-1127-2.

Abstract

BACKGROUND

Hepatocellular carcinoma (HCC) is the most common liver malignancy worldwide. However, present studies of its multiple gene interaction and cellular pathways still could not explain the initiation and development of HCC perfectly. To find the key genes and miRNAs as well as their potential molecular mechanisms in HCC, microarray data GSE22058, GSE25097, and GSE57958 were analyzed.

METHODS

The microarray datasets GSE22058, GSE25097, and GSE57958, including mRNA and miRNA profiles, were downloaded from the GEO database and were analyzed using GEO2R. Functional and pathway enrichment analyses were performed using the DAVID database, and the protein-protein interaction (PPI) network was constructed using the Cytoscape software. Finally, miRDB was applied to predict the targets of the differentially expressed miRNAs (DEMs).

RESULTS

A total of 115 differentially expressed genes (DEGs) were found in HCC, including 52 up-regulated genes and 63 down-regulated genes. The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses from DAVID showed that up-regulated genes were significantly enriched in chromosome segregation and cell division, while the down-regulated genes were mainly involved in complement activation, protein activation cascades, carboxylic acid metabolic processes, oxoacid metabolic processes, and the immune response. From the PPI network, the 18 nodes with the highest degree were screened as hub genes. Among them, ESR1 was found to have close interactions with FOXO1, CXCL12, and GNAO1. In addition, a total of 64 DEMs were identified, which included 58 up-regulated miRNAs and 6 down-regulated miRNAs. ESR1 was potentially targeted by five miRNAs, including hsa-mir-18a and hsa-mir-221.

CONCLUSIONS

The roles of DEMs like hsa-mir-221 in HCC through interactions with DEGs such as ESR1 and CXCL12 may provide new clues for the diagnosis and treatment of HCC patients.

摘要

背景

肝细胞癌(HCC)是全球最常见的肝脏恶性肿瘤。然而,目前关于其多基因相互作用和细胞通路的研究仍无法完美解释HCC的发生和发展。为了寻找HCC中的关键基因和微小RNA(miRNA)及其潜在的分子机制,对基因芯片数据GSE22058、GSE25097和GSE57958进行了分析。

方法

从基因表达综合数据库(GEO数据库)下载包含mRNA和miRNA谱的基因芯片数据集GSE22058、GSE25097和GSE57958,并使用GEO2R进行分析。使用DAVID数据库进行功能和通路富集分析,并使用Cytoscape软件构建蛋白质-蛋白质相互作用(PPI)网络。最后,应用miRDB预测差异表达miRNA(DEM)的靶标。

结果

在HCC中总共发现了115个差异表达基因(DEG),包括52个上调基因和63个下调基因。DAVID的基因本体论(GO)和京都基因与基因组百科全书(KEGG)通路富集分析表明,上调基因在染色体分离和细胞分裂中显著富集,而下调基因主要参与补体激活、蛋白质激活级联反应、羧酸代谢过程、含氧酸代谢过程和免疫反应。从PPI网络中,筛选出18个度值最高的节点作为枢纽基因。其中,发现雌激素受体1(ESR1)与叉头框蛋白O1(FOXO1)、CXC趋化因子配体12(CXCL12)和鸟嘌呤核苷酸结合蛋白α亚基O1(GNAO1)有密切相互作用。此外,共鉴定出64个DEM,其中包括58个上调的miRNA和6个下调的miRNA。ESR1可能是5种miRNA的靶标,包括hsa-mir-18a和hsa-mir-221。

结论

像hsa-mir-221这样的DEM通过与ESR1和CXCL12等DEG相互作用在HCC中的作用可能为HCC患者的诊断和治疗提供新线索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36d8/5356276/b2deed8cb458/12957_2017_1127_Fig1_HTML.jpg

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