Literature DB >> 28223241

Transcriptomic analysis reveals differential activation of microglial genes after ischemic stroke in mice.

Akbar Khan1, Furong Ju2, Wenguang Xie2, Muhammad Tariq Hafeez2, Xiaofeng Cheng2, Zhijie Yang2, Lirui Zhu2, Ting Li2, Shengxiang Zhang3.   

Abstract

Microglia are immune cells in the brain and play a pivotal role in the progression of ischemic injury, but the gene expression and signaling pathways related to the activation of microglia following ischemia remain unclear. In our experiment, we used digital gene expression (DGE) analysis to profile the transcriptome of ischemic tissue in a photothrombosis model. DGE analysis identified that a total of 749 genes were differentially regulated (643 up-regulated and 106 down-regulated) after 2days and 7days following stroke. We found 74.5% of these differentially expressed genes were microglial genes. Gene ontology (GO) analysis categorizes these differentially expressed genes at 2days and 7days to specific biological processes such as inflammatory response, cell activation, cell proliferation, and chemokine and cytokine production. Our data demonstrated that a large number of microglial genes were highly regulated at 2days after stroke, but the number of differentially expressed genes had reduced drastically by 7days. Importantly, some of the differentially expressed microglial genes at 7days did not show differential expression at 2days after stroke. DGE analysis indicated that specific genes related to microgliosis were regulated after ischemia. Consistent with the changes in transcriptome, the results from histological analysis of transgenic mice revealed that the microglia proliferated and aggregated surrounding the ischemic core during the period from 2days to 7days following photothrombosis. Together, these results suggested that transcriptomic changes in microglial genes after stroke may have a profound implication for pathophysiology and treatment of stroke.
Copyright © 2017 IBRO. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  activation; digital gene expression; microglia; photothrombosis; stroke; transcriptome

Mesh:

Year:  2017        PMID: 28223241     DOI: 10.1016/j.neuroscience.2017.02.019

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  10 in total

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