Integrated analysis of the proteome and transcriptome in a MCAO mouse model revealed the molecular landscape during stroke progression

被引:32
|
作者
Li, Litao [1 ]
Dong, Lipeng [1 ]
Xiao, Zhen [2 ]
He, Weiliang [1 ]
Zhao, Jingru [1 ]
Pan, Henan [1 ,3 ]
Chu, Bao [1 ]
Cheng, Jinming [1 ]
Wang, Hebo [1 ]
机构
[1] Hebei Gen Hosp, Dept Neurol, 348 Heping Xi Rd, Shijiazhuang 050051, Hebei, Peoples R China
[2] Shanghai Normal Univ, Coll Life Sci, Shanghai 200234, Peoples R China
[3] North China Univ Sci & Technol, Tangshan 063210, Hebei, Peoples R China
关键词
Stroke; MCAO; Proteome; Immunity; BRAIN MICROVASCULAR ENDOTHELIUM; TESTIS-SPECIFIC ISOFORM; NA/K-ATPASE ATP1A4; ISCHEMIC-STROKE; UP-REGULATION; EXPRESSION; INTERLEUKIN-6; DAMAGE; NEUROPROTECTION; INFLAMMATION;
D O I
10.1016/j.jare.2020.01.005
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Strokes usually results in long-term disability and death, and they occur worldwide. Recently, increased research on both on the physiopathological mechanisms and the transcriptome during stroke progression, have highlighted the relationship between stroke progression and immunity, with a special focus on inflammation. Here, we applied proteome analysis to a middle carotid artery occlusion (MCAO) mouse model at 0 h, 6 h, 12 h and 24 h, in which proteome profiling was performed with 23 samples, and 41 differentially expressed proteins (DEPs) were identified. Bioinformatics studies on our data revealed the importance of the immune response and particularly identified the inflammatory response, cytokine- cytokine receptor interactions, the innate immune response and reactive oxygen species (ROS) during stroke progression. In addition, we compared our data with multiple gene expression omnibus (GEO) datasets with and without a time series, in which similar pathways were identified, and three proteins, C3, Apoa4 and S100a9, were highlighted as markers or drug targets for stroke; these three proteins were significantly upregulated in the MCAO model, both in our proteomic data and in the GEO database. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of Cairo University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:13 / 27
页数:15
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