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作 者:张荣凯[1] 李国威[1] 江东[2] 张大卫[1] 于兵[1] 杨禄坤[3]
机构地区:[1]中山大学附属第五医院骨科,广东珠海519000 [2]中山大学附属第五医院泌尿外科,广东珠海519000 [3]中山大学附属第五医院麻醉科,广东珠海519000
出 处:《中国骨伤》2018年第2期165-169,共5页China Journal of Orthopaedics and Traumatology
基 金:广东省自然科学基金(编号:2015A030310240);广东省医学科研基金(编号:A2014261)~~
摘 要:目的:利用生物信息分析方法对骨关节炎软骨下骨全基因表达谱进行转录因子预测及分析。方法 :下载基因芯片实验数据(GSE30322),使用软件包limma packagein R(版本:3.3.1)筛选差异表达基因,筛选差异基因的标准以基因表达上调或下调的倍数≥2为标准(P<0.05),进一步使用Cytoscape软件(版本:3.4.0)的i Regulon插件预测分析调控这些差异表达基因的转录因子,并分析预测的转录因子所调控的差异表达基因。结果:发现上调的差异表达基因可能相关15个转录因子及其相对应的靶基因:FOXN4,NANOS1,E2F6,RAD21,MECOM,ETS1,MEF2A,POU2F3,BRCA1,GATA3,ZNF706,ZBTB33,SUZ12,DBP,SETDB1等。发现下调的差异表达基因可能相关12个转录因子及其相对应的靶基因:ARID3A,YY1,RDBP,ATF1,CRX,TAF1,XBP1,SOX3,E2F4,PGR,TIMM8A,HOXA2等。结论:预测分析的转录因子可能在骨关节炎软骨下骨致病机制调控中起了重要作用,其有可能成为新的防治骨关节炎的靶点。Objective:To identify the master transcription factors(TF) that might be responsible for the gene expression alteration of OA. Methods:Raw expression data for rat OA model(GSE30322) was downloaded from NCBI GEO database.Microarray data analysis for rat and human was carried out separately using functions from limma packagein R,gene expression was considered as significantly changed between conditions if adjusted-value0.05 and the absolute value of fold change ≥2.i Regulon was applied to differentially up-regulated and down-regulated genes in OA separately. Results:(1)15 TFs,including FOXN4,NANOS1,E2 F6,RAD21,MECOM,ETS1,MEF2 A,POU2 F3,BRCA1,GATA3,ZNF706,ZBTB33,SUZ12,DBP and SETDB1,were identified as the potential master TFs of up-regulated DEGs with statistical significance.(2)12 TFs,including ARID3 A,YY1,RDBP,ATF1,CRX,TAF1,XBP1,SOX3,E2 F4,PGR,TIMM8 A and HOXA2,were identified as the potential master TFs of down-regulated DEGs with statistical significance. Conclusion:The newly identified TFs maybe play important roles in pathogenesis of early experimental osteoarthritis,and our study provides new diagnostic markers or therapeutic targets for OA.
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