Expression analysis of long non-coding RNAs in a renal ischemia-reperfusion injury model
Tao, QiuTianyu, WangJiangqiao, ZhouZhongbao, ChenXiaoxiong, MaLong, ZhangJilin, Zou
Purpose: To investigate the long non-coding RNAs (lncRNAs) profile on renal ischemia reperfusion in a mouse model. Methods: Microarray analysis was used to study the expression of misregulated lncRNA in a mouse model of renal ischemia reperfusion (I/R) with long ischemia time. Quantitative real-time PCR (qPCR) was used to verify the expression of selected lncRNAs and mRNAs. The potential functions of the lncRNA was analyzed by bioinformatics tools and databases. Results: Kidney function was impaired in I/R group compared to the normal group. Analysis showed that a total of 2267 lncRNAs and 2341 messenger RNAs (mRNAs) were significantly expressed in I/R group (≥2.0-fold, p < 0.05). The qPCR result showed that lncRNAs and mRNAs expression were consistent with the microarray analysis. The co-expression network profile analysis based on five validated lncRNAs and 203 interacted mRNAs showed it existed a total of 208 nodes and 333 connections. The GO and KEEG pathway analysis results showed that multiple lncRNAs are involved the mechanism of I/R. Conclusion: Multiple lncRNAs are involved in the mechanism of I/R. These analysis results will help us to further understand the mechanism of I/R and promote the new methods targeted at lncRNA to improve I/R injury.(AU)
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