期刊论文

Microarray data mining and bioinformatics analysis of pulmonary fibrosis-related circRNA and miRNA profiles

中文

生命的化学

1000-1336

2020

40

10

1850-1860

10.13488/j.smhx.20200144

国家自然科学基金项目(81573193) 湖南省自然科学基金项目(2020JJ4082) 湖南省研究生科研创新项目(CX20200963)。

本校为第一机构

肺纤维化是一种进展的致死性呼吸系统疾病,预后较差且缺乏特效的治疗方法。研究发现,环状RNA(circular RNA, circRNA)和微小RNA(microRNA, miRNA)作为内源性非编码RNA分子可参与多种生物学过程,在肺纤维化的发生发展中起重要作用。本研究利用基因表达综合数据库(Gene Expression Omnibus, GEO)、GEO2R工具筛选肺纤维化相关的差异表达circRNA及miRNA,使用circular RNA Interactom预测与差异表达circRNA结合的miRNA,用TargetScan、miRDB及miRWalk预测miRNA靶基因,并用DAVID对靶基因进行GO分析和KEGG功能分析,用STRING对靶基因进行蛋白质相互作用预测。结果显示,共筛选出肺纤维化相关的差异表达的c...

Pulmonary fibrosis is a progressive, lethal respiratory disease with a poor prognosis and lack of specific treatment. Studies have found that circular RNA (circRNA) and microRNA (miRNA), as endogenous non-coding RNA molecules, can participate in various biological processes and play an important role in the development of pulmonary fibrosis. The Gene Expression Omnibus (GEO) and GEO2R tools were used to screen differentially expressed circRNA and miRNA related to pulmonary fibrosis. The circular RNA Interactom was applied to predict the miRNA binding sites of circRNA and the Targetscan, miRDB,...