基于生信分析玫瑰痤疮毛细血管增生相关关键基因的筛选  

Screening of key genes related to angiogenesis in rosacea based on bioinformatics analysis

作　　者：孙露 李想 王金秋 张恋 顾洪芝 陈沁 葛兰 翟志芳 SUN Lu;LI Xiang;WANG Jinqiu;ZHANG Lian;GU Hongzhi;CHEN Qin;GE Lan;ZHAI Zhifang(Department of Dermatology,First Affiliated Hospital,Army Medical University(Third Military Medical University),Chongqing,China)

机构地区：[1]陆军军医大学(第三军医大学)第一附属医院皮肤科,重庆

出　　处：《陆军军医大学学报》2025年第7期701-707,共7页Journal of Army Medical University

基　　金：重庆市科卫联合医学科研项目(2023MSXM078)。

摘　　要：目的利用生物信息学方法分析玫瑰痤疮(rosacea,RA)毛细血管增生相关差异表达基因,筛选关键基因并验证其在RA中的表达水平。方法从基因表达综合数据库(Gene Expression Omnibus,GEO)获取基因芯片数据集GSE65914,应用R语言分析得到与RA相关的差异表达基因,并与GeneCards数据库中的血管增生相关基因取交集,获得RA血管增生相关基因,进一步基于蛋白质-蛋白质相互作用(protein-protein interaction,PPI)网络分析及Cytoscape算法筛选关键基因。建立RA小鼠模型,通过RT-qPCR验证以上关键基因在RA皮损组织中的mRNA表达水平。结果从GEO中分析获得947个RA相关差异表达基因,进一步获得202个RA血管增生相关基因,最终筛选出具有显著差异的三个关键基因CXCL8、IL-1B、STAT1。RT-qPCR结果表明,MIP-2、GCP-2、IL-1B、STAT1在RA皮损中的mRNA表达水平显著高于正常对照(P<0.05)。结论本研究通过生物信息学方法筛选并验证了RA血管增生的关键基因CXCL8、IL-1B和STAT1,为揭示RA血管增生可能机制及研究靶向治疗方案提供了理论依据。Objective To investigate the differential expression genes(DEGs)related to angiogenesis in rosacea(RA)by utilizing bioinformatics analysis in order to screen the key genes and verify their mRNA expression levels.Methods The gene microarray dataset GSE65914 was retrieved from the Gene Expression Omnibus(GEO)repository.Analyzed by R programming,the dataset was refined to identify DEGs related to RA,and then cross-referenced with angiogenesis-related genes from the GeneCards database to get a subset specific to RA angiogenesis.The process of identifying key genes was augmented by employing protein-protein interaction(PPI)network analysis and Cytoscape-based computational algorithms.The mRNA expression levels of the aforementioned pivotal genes were detected by real-time fluorescent quantitative reverse transcription PCR(RT-qPCR).Results A total of 947 RA-associated DEGs were identified from GEO dataset,and then 202 genes related to RA angiogenesis were further delineated.PPI network analysis and Cytoscape algorithm finally identified 3 key genes,that is,CXCL8,IL-1B,and STAT1.The results of RT-qPCR showed that the mRNA expression levels of MIP-2,GCP-2,IL-1B and STAT1 in RA lesions were significantly higher than those in normal controls(P<0.05).Conclusion With aid of bioinformatics analysis,our study has screened and validated key genes associated with angiogenesis in RA,namely CXCL8,IL-1B,and STAT1,which providing a theoretical basis for elucidating the potential mechanisms underlying RA-induced angiogenesis and developing targeted therapeutic strategies.

关 键 词：玫瑰痤疮 血管增生 生物信息学分析 差异表达基因 

分 类 号：R318.04[医药卫生—生物医学工程] R394.3[医药卫生—基础医学] R758.733