微阵列
微阵列分析技术
生物
折叠变化
长非编码RNA
接收机工作特性
分子生物学
功能(生物学)
实时聚合酶链反应
哮喘
计算生物学
核糖核酸
免疫学
医学
基因表达
基因
细胞生物学
内科学
遗传学
作者
Xuefei Qi,Huilong Chen,Zhen‐Li Huang,Bohua Fu,Yi Wang,Jungang Xie,Jianping Zhao,Yong Cao,Weining Xiong
标识
DOI:10.1016/j.bbrc.2018.07.079
摘要
The aim of the study was to determine the expression profiles of message RNAs and long non-coding RNAs in CD4+T cells of asthmatic patients and to explore the clinical value and biological function. Expression profiles in CD4+T cells of asthmatic patients and healthy controls were analyzed by microarray. We found 2725 lncRNAs and 3167 mRNAs differentially expressed. The data were validated by quantitative real time polymerase chain reaction, with 3 up-regulated (ENST00000444682, ENST00000566098, ENST00000583179) and 1 down-regulated (ENST00000579468) lncRNAs found. Receiver operating characteristic curve analysis showed the area under the curve was 0.7058, 0.9026, 0.8361, 0.8316, respectively. Spearman correlation analysis showed that ENST00000566098 was positively related with IL-13 and ENST00000579468 was positively related with peak expiratory flow. Bioinformatics analyses were performed to explore the function of lncRNAs. Specific lncRNAs aberrantly expressed in CD4+T cells may take part in the development of asthma and may be used as biomarkers for diagnosis.
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