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Article Open Access

Identification and functional analysis of differentially expressed genes associated with cerebral ischemia/reperfusion injury through bioinformatics methods

  • Authors:
    • Xiaoli Shao
    • Wangxiao Bao
    • Xiaoqin Hong
    • Huihua Jiang
    • Zhi Yu
  • View Affiliations / Copyright

    Affiliations: Department of Neurology, Chun'an First People's Hospital, Zhejiang People's Hospital Chun'an Branch, Hangzhou, Zhejiang 311700, P.R. China, Department of Neurology, First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 310003, P.R. China
    Copyright: © Shao et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 1513-1523
    |
    Published online on: June 6, 2018
       https://doi.org/10.3892/mmr.2018.9135
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Abstract

Cerebral ischemia/reperfusion (I/R) injury results in detrimental complications. However, little is known about the underlying molecular mechanisms involved in the reperfusion stage. The aim of the present study was to identify a gene expression profile associated with cerebral ischemia/reperfusion injury. The GSE23160 dataset, which comprised data from sham control samples and post‑I/R injury brain tissues that were obtained using a middle cerebral artery occlusion (MCAO) model at 2, 8 and 24 h post‑reperfusion, was downloaded from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) in the MCAO samples compared with controls were screened using the GEO2R web tool. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis for DEGs was performed using the online tool DAVID. Furthermore, a protein‑protein interaction (PPI) network was constructed using the STRING database and Cytoscape software. In total, 32 DEGs at 2 h post‑reperfusion, 39 DEGs at 8 h post‑reperfusion and 91 DEGs at 24 h post‑reperfusion were identified, while 15 DEGs were common among all three groups. GO analysis revealed that the DEGs at all three time‑points were enriched in ‘chemotaxis’ and ‘inflammatory response’ terms, while KEGG pathway analysis demonstrated that DEGs were significantly enriched in the ‘chemokine signaling pathway’. Furthermore, following PPI network construction, Cxcl1 was identified as the only hub gene that was common among all three time‑points. In conclusion, the present study has demonstrated a global view of the potential molecular differences following cerebral I/R injury and may contribute to an improved understanding of the reperfusion stage, which may ultimately aid in the development of future clinical strategies.
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Copy and paste a formatted citation
Spandidos Publications style
Shao X, Bao W, Hong X, Jiang H and Yu Z: Identification and functional analysis of differentially expressed genes associated with cerebral ischemia/reperfusion injury through bioinformatics methods. Mol Med Rep 18: 1513-1523, 2018.
APA
Shao, X., Bao, W., Hong, X., Jiang, H., & Yu, Z. (2018). Identification and functional analysis of differentially expressed genes associated with cerebral ischemia/reperfusion injury through bioinformatics methods. Molecular Medicine Reports, 18, 1513-1523. https://doi.org/10.3892/mmr.2018.9135
MLA
Shao, X., Bao, W., Hong, X., Jiang, H., Yu, Z."Identification and functional analysis of differentially expressed genes associated with cerebral ischemia/reperfusion injury through bioinformatics methods". Molecular Medicine Reports 18.2 (2018): 1513-1523.
Chicago
Shao, X., Bao, W., Hong, X., Jiang, H., Yu, Z."Identification and functional analysis of differentially expressed genes associated with cerebral ischemia/reperfusion injury through bioinformatics methods". Molecular Medicine Reports 18, no. 2 (2018): 1513-1523. https://doi.org/10.3892/mmr.2018.9135
Copy and paste a formatted citation
x
Spandidos Publications style
Shao X, Bao W, Hong X, Jiang H and Yu Z: Identification and functional analysis of differentially expressed genes associated with cerebral ischemia/reperfusion injury through bioinformatics methods. Mol Med Rep 18: 1513-1523, 2018.
APA
Shao, X., Bao, W., Hong, X., Jiang, H., & Yu, Z. (2018). Identification and functional analysis of differentially expressed genes associated with cerebral ischemia/reperfusion injury through bioinformatics methods. Molecular Medicine Reports, 18, 1513-1523. https://doi.org/10.3892/mmr.2018.9135
MLA
Shao, X., Bao, W., Hong, X., Jiang, H., Yu, Z."Identification and functional analysis of differentially expressed genes associated with cerebral ischemia/reperfusion injury through bioinformatics methods". Molecular Medicine Reports 18.2 (2018): 1513-1523.
Chicago
Shao, X., Bao, W., Hong, X., Jiang, H., Yu, Z."Identification and functional analysis of differentially expressed genes associated with cerebral ischemia/reperfusion injury through bioinformatics methods". Molecular Medicine Reports 18, no. 2 (2018): 1513-1523. https://doi.org/10.3892/mmr.2018.9135
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