基于生物信息学筛选WT关键基因

Screening of WT key genes based on bioinformatics

目的基于生物信息学筛选与WT相关的关键基因,对其进行GO分析和Pathway分析。方法在GEO中下载基因表达数据集GSE167054,利用GEO2R对WT组织样本和非癌组织样本中的表达基因进行差异分析,利用GEO2R分析后的数据筛选出差异基因,将差异基因放入DAVID进行GO分析和pathway分析后。将差异基因放入PPI网络数据库寻找关键基因。结果筛选出了1057个差异基因,其中有291个差异基因在WT组织样本中表达上调;766个差异基因在WT组织样本中表达下调。分别得到差异基因最富集的3个MF、3个CC、3个BP、3个通路。蛋白质交互网络中EGFR、ALDH6、LAMTOR5、PEPD位于核心。结论EGFR、ALDH6、LAMTOR5、PEPD即此研究找到的关键基因,它们可能为临床提供新的治疗靶点。

Objective To screen the key genes related to WT based on bioinformatics,and perform GO analysis and Pathway analysis.Methods The gene expression dataset GSE167054 was downloaded in GEO,and the differential analysis of the expressed genes in WT tissue samples and non-cancer tissue samples was performed by GEO2R.The differential genes were screened out using analyzed data by GEO2R,and the differential genes were put into DAVID for GO analysis and pathway analysis.Put the differential genes into the PPI network database to find key genes.Results 1057 differential genes were screened out,of which 291 differential genes were up-regulated in WT tissue samples;766 differential genes were down-regulated in WT tissue samples.Three MFs,three CCs,three BPs,and three pathways with the most enriched differential genes were obtained,respectively.In the protein interaction network,EGFR,ALDH6,LAMTOR5,and PEPD were at the core.Conclusions EGFR,ALDH6,LAMTOR5,and PEPD are the key genes found in this study,and they may provide new therapeutic targets for the clinic.