Profiling analysis reveals the potential contribution of long non-coding RNAs to preterm white matter injury

分析揭示了长链非编码 RNA 对早产儿白质损伤的潜在贡献

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作者:Dayu Wang, Xiaoyan Ye, Hanying Xie, Yiwen Liu, Yan Xu, Yao Wang, Yang Zhou, Ning Zhou, Jun Wang

Aims

The aim of this study was to investigate the molecular mechanism underlying preterm white matter injury (WMI) via the identification and functional analysis of differentially expressed long non-coding RNAs (lncRNAs) and mRNAs. Main

Methods

A neonatal rat model of preterm WMI was established by ligating the common carotid artery and hypoxia induction. RNA sequencing was performed to analyze gene expression profiles of brain samples. Gene Ontology (GO) and Kyoto Encyclopedia of Genes (KEGG) analyses were performed to evaluate functions of target mRNAs. A co-expression network was generated to explore regulatory mechanisms. Key findings: In total, 210 lncRNAs and 619 mRNAs were differentially expressed between the preterm WMI group and the sham group. Based on GO and KEGG analyses, enriched pathways included the apoptotic signaling pathway, vascular endothelial growth factor (VEGF) signaling pathway, natural killer cell-mediated cytotoxicity pathway, and the autophagy pathway. Significance: Differentially expressed lncRNAs and mRNAs in the brain tissues of preterm WMI model were identified, and the biological processes were closely associated with the development of preterm WMI, thus being considered potential targets for future studies.

Significance

Differentially expressed lncRNAs and mRNAs in the brain tissues of preterm WMI model were identified, and the biological processes were closely associated with the development of preterm WMI, thus being considered potential targets for future studies.

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