Identification of brain endothelial cell-specific genes and pathways in ischemic stroke by integrated bioinformatical analysis

被引:12
|
作者
Yan, Yi [1 ]
Wang, Zhaohui [1 ]
Liu, Xiao [1 ]
Han, Song [1 ,2 ]
Li, Junfa [1 ,2 ,3 ]
Zhang, Ying [1 ,2 ,4 ,5 ,6 ]
Zhao, Li [1 ,2 ,4 ,5 ,6 ]
机构
[1] Capital Med Univ, Dept Neurobiol, Beijing, Peoples R China
[2] Capital Med Univ, Beijing Inst Brain Disorders, Beijing, Peoples R China
[3] Beijing Key Lab Hypoxia Conditioning Translat Med, Beijing, Peoples R China
[4] Capital Med Univ, Dept Neurobiol, Beijing 100069, Peoples R China
[5] Capital Med Univ, Beijing Inst Brain Disorders, Beijing 100069, Peoples R China
[6] Beijing Key Lab Hypoxia Conditioning Translat Med, Beijing 100053, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
Bioinformatics analysis; endothelial cells; gene expression omnibus datasets; ischemic stroke; RNA regulatory pathways; CERNA;
D O I
10.4103/bc.bc_40_23
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
BACKGROUND: Ischemic stroke (IS) is a life-threatening condition with limited treatment options; thus, finding the potential key genes for novel therapeutic targets is urgently needed. This study aimed to explore novel candidate genes and pathways of brain microvessel endothelial cells (ECs) in IS by bioinformatics analysis.MATERIALS AND METHODS: The gene expression profiles of brain tissues or brain ECs in IS mice were downloaded from the online gene expression omnibus (GEO) to obtain the differentially expressed genes (DEGs) by R software. Functional enrichment analyses were used to cluster the functions and signaling pathways of the DEGs, while DEG-associated protein-protein interaction network was performed to identify hub genes. The target microRNAs and competitive endogenous RNA networks of key hub genes were constructed by Cytoscape.RESULTS: Totally 84 DEGs were obtained from 6 brain tissue samples and 4 brain vascular EC samples both from IS mice in the datasets GSE74052 and GSE137482, with significant enrichment in immune responses, such as immune system processes and T-cell activation. Eight hub genes filtered by Cytoscape were validated by two other GEO datasets, wherein key genes of interest were verified by reverse transcription-polymerase chain reaction using an in vitro ischemic model of EC cultures. Our data indicated that AURKA and CENPF might be potential therapeutic target genes for IS, and Malat1/Snhg12/Xist-miR-297b-3p-CENPF, as well as Mir17 hg-miR-34b-3p-CENPF, might be RNA regulatory pathways to control IS progression.CONCLUSIONS: Our work identified two brain EC-specific expressed genes in IS, namely, AURKA and CENPF, as potential gene targets for IS treatment. In addition, we presented miR-297b-3p/miR-34b-3p-CENPF as the potential RNA regulatory axes to prevent pathogenesis of IS.
引用
收藏
页码:228 / 239
页数:12
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