摘要
目的挖掘成釉细胞瘤(ameloblastoma,AM)与正常组织的差异表达基因(differentially expressed genes,DEGs),将生物信息学方法与可视化软件相结合,探索AM的新治疗靶点。方法本文数据来自GEO数据库,用GEO2R工具分析DEGs,DAVID在线工具进行GO及KEGG通路富集分析,Cytoscape软件构筑蛋白互作网络图,Cytohubba插件筛选核心基因,CiberSort算法分析AM与正常组织免疫浸润差异。结果最终共筛选出419个共同的DEGs。GO及KEGG分析揭示AM相关通路及生物学功能。最终筛选出FN1等10个核心基因。免疫浸润结果提示AM中巨噬细胞M0的浸润水平明显增高。结论利用生物信息学方法筛选出AM发生的DEGs,其中关键基因和通路有望成为治疗AM的新靶点,并为后续研究提供新思路。
Objective To investigate the differentially expressed genes(DEGs)between ameloblastomas and normal tissues and novel therapeutic targets for ameloblastoma(AM).Methods The data were collected from the GEO database and differentially expressed genes analyzed using the GEO2R tool.David online tool was used for GO and KEGG pathway enrichment analysis,the Cytoscape software for architectonic protein interaction network diagram,the Cytohubba plug-in to screen core genes,and the Cibersort algorithm to analyze differences in immune infiltration between AM and normal tissues.Results A total of 419 DEGs in common were finally screened out.Go and KEGG analysis revealed AM related pathways and biological functions.Ten core genes such as FN1 were finally screened out.The immune infiltration results suggested that the infiltration level of macrophage M0 was significantly higher in AM.Conclusions The differentially expressed genes of ameloblastoma were screened by bioinformatics method,and the key genes and pathways were expected to become new targets for the treatment of ameloblastoma.
作者
杨梦源
陈瑞雪
蔺孝慧
陆艺文
张旭东
YANG Meng-yuan;CHEN Rui-xue;LIN Xiao-hui;LU Yi-wen;ZHANG Xu-dong(Department of Oral and Maxillofacial Surgery,Hebei Key Laboratory of Stomatology,Hebei Clinical Research Center for Oral Diseases,School and Hospital of Stomatology,Hebei Medical University,Shijiazhuang 050017,China)
出处
《北京口腔医学》
CAS
2023年第5期309-313,共5页
Beijing Journal of Stomatology
基金
河北省自然科学基金(H2021206165)。
关键词
成釉细胞瘤
生物信息学分析
差异表达基因
靶点治疗
Ameloblastoma
Bioinformatics analysis
Differentially expressed genes
Targeted therapy
作者简介
通信作者:张旭东,E-mail:zxdcrx@163.com,电话:18617960768。
