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肝细胞癌中microRNA-375调控的基因网络分析
引用本文:黄波,肖影群,罗达亚,章萍,杨仙荷,钟青梅,王武,姚迪.肝细胞癌中microRNA-375调控的基因网络分析[J].中国病理生理杂志,2016,32(2):363-370.
作者姓名:黄波  肖影群  罗达亚  章萍  杨仙荷  钟青梅  王武  姚迪
作者单位:1. 南昌大学附属感染病医院病理科, 江西 南昌 330002;
2. 南昌大学基础医学院生物化学与分子生物学教研室, 江西 南昌 330006
基金项目:2011江西省卫生厅科技计划(No.20112043);2012年南昌市市校合作项目(洪财企[80]号)
摘    要: 目的: 探讨肝细胞癌中miR-375的表达及其调控的相关靶基因和信号通路。方法: 采用原位杂交检测miR-375在人肝癌组织芯片的表达情况;人全基因组表达谱芯片检测4株肝癌细胞株;MAS生物信息学软件筛选miR-375调控靶基因及相关信号通路。结果: 原位杂交结果显示miR-375在肝癌组织中的表达明显高于癌旁组织(P < 0.05);人全基因组表达谱芯片结果分析显示4株转染miR-375的肝癌细胞的共上调基因有20个,共下调基因有17个;MAS生物信息学软件分析显示4株转染miR-375的肝癌细胞共有的上调信号通路有54条,下调信号通路有48条。结论: miR-375与肝细胞癌有密切的关系。对miR-375调控的肝细胞癌相关靶基因与信号通路进行多元化筛选,为后续全面深入的研究肝细胞癌发生发展的机制提供了便利。

关 键 词:肝细胞癌  MicroRNA-375  原位杂交  基因芯片  
收稿时间:2015-05-14

Analysis of gene network regulated by microRNA-375 in HCC
HUANG Bo,XIAO Ying-qun,LUO Da-ya,ZHANG Ping,YANG Xian-he,ZHONG Qing-mei,WANG Wu,YAO Di.Analysis of gene network regulated by microRNA-375 in HCC[J].Chinese Journal of Pathophysiology,2016,32(2):363-370.
Authors:HUANG Bo  XIAO Ying-qun  LUO Da-ya  ZHANG Ping  YANG Xian-he  ZHONG Qing-mei  WANG Wu  YAO Di
Institution:1. Department of Pathology, Infectious Disease Hospital Affiliated to Nanchang University, Nanchang 330002, China;
2. Department of Biochemistry and Molecular Biology, School of Basic Medicine, Nanchang University, Nanchang 330006, China
Abstract:AIM: To investigate the expression of microRNA-375 (miR-375) in hepatocellular carcinoma (HCC) and to analyze the target genes and signaling pathways regulated by miR-375. METHODS: The expression of miR-375 was examined at tissue microarray of HCC by in situ hybridization. The whole human genome chip and bioinformatics analysis were applied to screen out the differential expression genes and signaling pathways in 4 HCC cell lines transfected with miR-375 mimic. RESULTS: In situ hybridization showed the expression of miR-375 in HCC tissues were obviously higher than that in tumor-adjacent tissues (P < 0.05). There were 20 co-upregulated genes and 17 co-downregulated genes in all 4 cell lines. Bioinformatic analysis showed that there were 54 signaling pathways related to up-regulated genes and 48 signaling pathways related to down-regulated genes in all 4 cell lines. CONCLUSION: miR-375 may play a key role in the pathological process of HCC. The bioinformatic analysis is able to screen the target genes and signaling pathways regulated by miR-375 and to provide an explicit direction for further mechanism research on HCC.
Keywords:Hepatocellular carcinoma  MicroRNA-375  In situ hybridization  Gene chips
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