昆明医科大学学报2018，Vol.39Issue(3)：38-41,4.
基于GEO数据库进行人类皮肤芯片核苷酸切除修复基因XPA表达的差异性
Parallel Mining of Gene Expression Differences of Nucleotide Excision Repair Gene XPA in Human Skin Microarrays based on GEO Database
摘要
Abstract
Objective To make a parallel mining the data of expression differences of a crucial gene XPA involved in nucleotide excision repair pathway of human skin microarrays by bioinformatics from the system level.Methods Using the ScanGEO, the data of microarrays which included the significant differences expression level of XPA were screened and analyzed from 59 human skin samples in the GEO database. Results There were 7 samples with the down-regulated expression of XPA: cutaneous malignant melanoma, epidermal injury model, DNA damage and UV radiation, foreskin fibroblast response to Toxoplasma gondii RH type 1 (ROP5) mutant infection, interleukin-20 subfamily cytokines effect on epidermal keratinocytes, Egr-1 overexpression effect on skin fibroblasts in vitro: time course, in vitro model for inflammatory dendritic cells.Present expression down. Conclusion Based on the GEO database and ScanGEO, high-throughput shared data can be screened and analyzed efficiently.关键词
GEO数据库/碱基切除修复/XPA/基因表达差异Key words
GEO database/Nucleotide excision repair/XPA/Gene expression differences分类
生物科学引用本文复制引用
张璐,吕乐春,吴艳瑞,袁方,唐文羽,邹显强,李春银,赵敏..基于GEO数据库进行人类皮肤芯片核苷酸切除修复基因XPA表达的差异性[J].昆明医科大学学报,2018,39(3):38-41,4.基金项目
云南省教育厅科学研究基金资助项目(2014z063) （2014z063）
