摘要
目的探讨衰老过程中表皮稳态的相关机制。方法使用生物信息学分析来鉴定与年龄有关的microRNAs以及下游调控的靶基因,通过微阵列数据[基因和microRNAs(miRNA)]使用GEO2R软件进行GO分析和KEGG信号通路分析。使用Cytoscape(v.3.5.1)预测miRNA-基因互作网络和关键基因。结果通过生物信息学技术,确定了人类表皮差异miRNA以及其调控的靶基因参与的信号通路。结论表皮信号通路的确定为改善年龄相关性皮肤疾病的治疗提供理论依据。
Objective To explore the mechanisms of epidermal homeostasis during aging.Methods Bioinformatic analysis software was used for GO analysis and KEGG signal pathway analysis based on microarray data[genes and microRNAs(miRNAs)].Cytoscape(v.3.5.1)was used to predict the miRNA-gene interaction network and key genes.Results The result of this study revealed the differential expression of miRNAs related to the human epidermis and that their target genes are involved in associated signaling pathways.Conclusions The identified epidermal signaling pathways provide a theoretical basis for improving the treatment of age-related skin diseases.
作者
韩银淑
HAN Yinshu(Xiamen Medical College,Xiamen 361023,China)
出处
《中国比较医学杂志》
CAS
北大核心
2018年第10期79-84,共6页
Chinese Journal of Comparative Medicine
