摘要
目的:运用DAVID数据库得到通路和基因的相关信息,分析出重要基因的功能和分布,筛选出与肝纤维化(hepatic fibrosis,HF)相关的靶点基因,促进对HF发病机制的研究以及新药的开发。方法:用hepatic fibrosis为关键词在NCBI数据库中检索HF的相关基因,将得到的基因数据导入DAVID数据库,得到基因富集的通路数据。95个非冗余基因富集在16条KEGG通路进行了分析,将95个基因输入String数据库做相互作用的网络图,将富集在通路上的关键基因也做网络图,并且将这两个网络图进行比较。结果:在两张网络图中IL6、TGFB1、TNF、IL10、NFKB1、TLR4都是处于度排名靠前的基因。结论:IL6、TGFB1、TNF、IL10、NFKB1、TLR4需要我们进一步的去深入研究,通过分析与疾病相关基因的所在通路和基因之间互作的网络图,有利于我们了解疾病的发病机制,并为新药研发提供可靠的靶点。
Objective:To obtain the relevant information of pathway and gene by using the database of DAVID,analyze the function and distribution of important genes,screen out the target genes related to hepatic fibrosis and promote the study of the pathogenesis of HF and the development of new drugs.Methods:The hepatic fibrosis was used to search HF related genes in NCBI database.The obtained gene data was input to the database of Daved,and the data of gene enriched pathway was obtained.Ninety-five non-redundant genes were enriched in 16 KEGG pathways.The 95 genes were input to the string database to make the interaction network diagram,and the key genes enriched in the pathway were also made the network diagram,and the two network diagrams were compared.Results:IL-6,TGFB1,TNF,IL10,NFKB1 and TLR4 were among the highest ranked genes in two network diagrams.Conclusion:The study of IL-6,TGFB1,TNF,IL10,NFKB1 and TLR4 is necessary for us to study further.It is helpful to understand the pathogenesis of disease and provide a reliable target for the development of new drugs by analyzing the pathway and the network diagram of the interaction between genes and disease related genes.
作者
郑洋
刘露露
王佳慧
傅品悦
赵铁建
ZHENG Yang;LIU Lulu;WANG Jiahui;FU Pinyue;ZHAO Tiejian(Department of Medicine,Faculty of Chinese Medicine Science,Guangxi University of Chinese Medicine,Nanning530001,Guangxi,China;Department of Physiology,School of Basic Medicine,GuangxiUniversity of Traditional Chinese Medicine,Nanning530001,Guangxi,China)
出处
《辽宁中医杂志》
CAS
2019年第7期1345-1347,1565-1566,共4页
Liaoning Journal of Traditional Chinese Medicine
基金
国家自然科学基金项目(81460682,81660705)
广西中医药大学研究生重点创新课题(YCSZ2018013,YCSY2018004)