Expression analysis of long non-coding RNAs in a renal ischemia-reperfusion injury model

• Autor(a) principal: Tao,Qiu
• Data de Publicação: 2019
• Outros Autores: Tianyu,Wang, Jiangqiao,Zhou, Zhongbao,Chen, Xiaoxiong,Ma, Long,Zhang, Jilin,Zou
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Acta Cirúrgica Brasileira (Online)
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-86502019000400201
• topic: Kidney Transplantation; Ischemia; Reperfusion; RNA, Messenger; Mice

Abstract 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.