基于RNA测序探索复发性流产生物标志物的研究

Study on exploring the biomarker of recurrent spontaneous abortion based on RNA sequencing

目的 分析复发性流产(recurrent spontaneous abortion,RSA)患者生物信息,探讨差异表达基因作为生物标志物的价值。方法 使用R语言分析RSA患者流产物测序数据,筛选差异表达基因(differentially expressed genes,DEGs),使用GSEA对DEGs注释,使用STRING分析DEGs编码蛋白间的相互关系(protein protein interaction,PPI),并筛选出候选基因。选取16例RSA患者(实验组)与16例人工流产患者(对照组)流产物绒毛组织,利用实时荧光定量PCR(real-time fluorescent quantitative PCR,qRT-PCR)验证候选基因。结果 共筛选255个DEGs,其中低表达基因219个,高表达36个。17个基因为可能的候选基因。经验证,实验组IL8、CCL20、CXCL9表达低于对照组,差异有统计学意义(P <0. 01),实验组AFP高于对照组,差异有统计学意义(P <0. 01)。结论 IL8、CCL20、CXCL9、AFP基因可能在RSA病理过程中起重要作用。

Objective To explore the value of diferenially expressed genes as biomarkers by analyzing bioinformation of recur-rent spontaneous abortion(RSA)patients.Methods R language was used to analyze the stream product sequencing data of RSA patients and screen for diffrentially expressed genes(DEGs).Gene set expression analysis(GESA)was used for gene annotation.Protein interaction(PPI)among DEGS encoded proteins analysis was performed using STRING,candidate genes were screened out.qRT-PCR was carried out to validate the expression level of candidate genes in 16 villus tissue from patients induced abortion(control group)and 16 vllus tissue from RSA patients(test group).Results A total of 255 DEGs were obtained,including 36 up-regulated genes and 219 down-regulated genes.17 genes were screened out as candidate genes.By analysis of qRT-PCR,I18,CCL20,CXCL9 were validated low expression in test group.There was statistical significance on the difference(P<0.01).AFP in test group was higher than that in the control group,with the difference statistically signifeant(P<0.01).Conclusion Il8,CCL20,CXCL9 and AFP may be eritical mediators or partieipators in the pathogenesis of RSA.