遵义医科大学学报2023，Vol.46Issue(12)：1121-1132,12.
多囊卵巢综合征患者血清微囊泡差异表达的LncRNA及生物信息学分析
Differential expression of LncRNA and bioinformatics analysis of serum mi-crovesicles in patients with polycystic ovary syndrome
摘要
Abstract
Objective To determine the different expression profiles of long noncoding RNAs(lncRNAs)in ser-um microvesicles from patients with polycystic ovary syndrome(PCOS)and controls and to analyze their biologi-cal functions.Methods Sixty-five serum samples were collected from each of the PCOS patients and controls,and microvesicles were extracted by differential centrifugation and subjected to high-throughput sequencing to screen out differentially expressed lncRNAs(P＜0.05).qRT-PCR was performed to validate nine of these dif-ferential lncRNAs.Gene Ontology(GO)functional annotation analysis of cis-regulatory coding genes associated with differentially expressed lncRNAs,Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis and reactome pathway enrichment analysis were used to analyze the biological functions of lncRNAs in PCOS serum micro vesicles.Results A total of 5 410 lncRNAs were identified in human serum microvesicles of the PCOS and control groups,and a total of 736 differentially expressed lncRNAs were identified,of which 374 were upregulated and 362 were downregulated.The qRT-PCR was performed to validate 9 differential lncRNAs,and the results showed that 5 lncRNAs showed the same trend as the sequencing results.The pathway enrichment analysis showed that these molecules may play an important role in cell proliferation and apoptosis,inflammation,and adipogenesis.Conclusion In this study,serum microvesicles lncRNAs expression profiles of women with PCOS were found to be different from those of control women.Microvesicles may play a role in the pathogenesis of PCOS as carriers of pathogenic lncRNAs.关键词
微囊泡/多囊卵巢综合征/lncRNA/生物信息学/高通量测序Key words
microvesicles/polycystic ovary syndrome/lncRNA/bioinformatics/high-throughput sequencing分类
医药卫生引用本文复制引用
文婷媛,潘茂美,蒋君,张媚,王德婧..多囊卵巢综合征患者血清微囊泡差异表达的LncRNA及生物信息学分析[J].遵义医科大学学报,2023,46(12):1121-1132,12.基金项目
贵州省科技厅基金资助项目[NO:(2017)7104] （2017）
遵义医科大学博士启动基金资助项目(NO:201704). （NO:201704）
