Literature DB >> 24254565

Gene expression signature analysis and protein-protein interaction network construction of spinal cord injury.

J Lai1, X He, F Wang, J-M Tan, J-X Wang, S-M Xing, L-B Shen, L-Q Fang, P Yang, J-M Tan.   

Abstract

BACKGROUND: The aim of this study was to investigate the gene expression profile of thoracic propriospinal neurons between post-injury rat and controls.
MATERIALS AND METHODS: Microarray dataset GSE20907 was downloaded from GEO database, including 12 Spinal Cord Injury (SCI) rat and 12 controls. Student's t test was employed to identified differentially expressed genes with a fold-change > 1.2. Then, we used DAVID to perform functional enrichment analysis to uncover dysfunctional biological processes and molecular signatures database (MsigDB) to find any potential relationship between SCI gene expression signature and other published gene expression signature. Protein-Protein interaction (PPI) network was constructed by STRING and visualized in Cytoscape. Functional analysis of the hub protein was performed by BinGO.
RESULTS: The maximum change of gene expression profile was found at 3-days post injury and immune response was found upregulated all tested time points. Interestingly, genes upregulated 2-weeks post injury was found significantly overlapped with genes upregulated in brains from Alzheimer's disease patients. Protein interaction network analysis found that LYN, PTPN6 and SMAD1 could be of great value for further investigation.
CONCLUSIONS: It could be inferred that understanding the underlying molecular mechanism post injury, especially at early moment, may provide novel insight for development of therapeutics strategy.

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Mesh:

Year:  2013        PMID: 24254565

Source DB:  PubMed          Journal:  Eur Rev Med Pharmacol Sci        ISSN: 1128-3602            Impact factor:   3.507


  3 in total

1.  Identification of pivotal genes and pathways for spinal cord injury via bioinformatics analysis.

Authors:  Zonghao Zhu; Qiang Shen; Liang Zhu; Xiaokang Wei
Journal:  Mol Med Rep       Date:  2017-07-21       Impact factor: 2.952

Review 2.  Transcriptional Factors and Protein Biomarkers as Target Therapeutics in Traumatic Spinal Cord and Brain Injury.

Authors:  Suneel Kumar; Zachary Fritz; Kunjbihari Sulakhiya; Thomas Theis; Francois Berthiaume
Journal:  Curr Neuropharmacol       Date:  2020       Impact factor: 7.363

3.  Further insight into molecular mechanism underlying thoracic spinal cord injury using bioinformatics methods.

Authors:  Weiguo Wang; Rongjun Liu; Zhanwang Xu; Xiufeng Niu; Zhaohu Mao; Qingxi Meng; Xuecheng Cao
Journal:  Mol Med Rep       Date:  2015-10-14       Impact factor: 2.952

  3 in total

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