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基于生物信息学筛选染料木素抗骨肉瘤靶基因
引用本文:郭良煜,余铃,陈敬腾,龚长天,施玉博,郭卫春. 基于生物信息学筛选染料木素抗骨肉瘤靶基因[J]. 生物信息学, 2021, 19(1): 47-54
作者姓名:郭良煜  余铃  陈敬腾  龚长天  施玉博  郭卫春
作者单位:武汉大学人民医院 骨科, 武汉 430060
摘    要:染料木素是一种天然的小分子物质,在多种肿瘤中显示出抗肿瘤作用,探究染料木素作用于骨肉瘤的靶基因.从DrugBank下载与染料木素有关的靶基因,分别导入string数据库中进行分析,用Cytoscape作出蛋白质相互作用(PPI)网络,同时用插件Cytohubb分析PPI,获得25个关键基因,再用WebGestalt分析...

关 键 词:染料木素  骨肉瘤  生物信息学  靶基因
收稿时间:2020-04-02
修稿时间:2020-05-13

Target genes of genistein against osteosarcoma screened based on bioinformatics
GUO Liangyu,YU Ling,CHEN Jingteng,GONG Changtian,SHI Yubo,GUO Weichun. Target genes of genistein against osteosarcoma screened based on bioinformatics[J]. Chinese Journal of Bioinformatics, 2021, 19(1): 47-54
Authors:GUO Liangyu  YU Ling  CHEN Jingteng  GONG Changtian  SHI Yubo  GUO Weichun
Affiliation:Department of Orthopedics, Renmin Hospital of Wuhan University, Wuhan 430060, China
Abstract:Genistein is a kind of natural small molecular substance,which has shown anti-tumor effect in a variety of tumors.This paper explores the genes of genistein against osteosarcoma through bioinformatics analysis.Target genes associated with genistein were downloaded from DrugBank and imported to string database for analysis.With PPI network diagram created by Cytoscape,the plugin Cytohubb was applied to analyze the PPI network and 25 hub genes were acquired.WebGestalt was adopted to analyze KEGG pathways of 25 genes,and the target genes of the pathways associated with osteosarcoma were selected.The obtained target genes were verified using HCMDB.The miRNA of the genes were predicted by miRDB and verified in GSE65071 database.A total of 13 target genes associated with genistein were selected,and 11 genes whose pharmacological activities were not clear were chosen for subsequent analysis.From the string database,284 genes related to 11 target genes were obtained,and 25 hub genes were analyzed using WebGestalt.Subsequently,the target genes of NF-kappa B and Rap1 signaling pathways were selected and verified in the HCMDB database.Lastly,miRDB and GSE65071 databases to acquire hsa-miR-23b-3p,hsa-miR-23a-3p,hsa-miR-141-3p,and hsa-miR-200a-3p.The study showed that CXCL8,CXCL12,LPAR1,and CNR1,as well as hsa-miR-23b-3p,hsa-miR-23a-3p,hsa-miR-141-3p,and hsa-miR-200a-3p might be the therapeutic target genes for osteosarcoma.
Keywords:Genistein   Osteosarcoma  Bioinformatics  Target genes
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