Abstract
Spinal cord injury (SCI) is a serious disease without effective therapeutic strategies. To identify the potential treatments for SCI, it is extremely important to explore the underlying mechanism. Current studies demonstrate that anoikis might play an important role in SCI. In this study, we aimed to identify the key anoikis-related genes (ARGs) providing therapeutic targets for SCI. The mRNA expression matrix of GSE45006 was downloaded from the Gene Expression Omnibus (GEO) database, and the ARGs were downloaded from the Molecular Signatures Database (MSigDB database). Then, the potential differentially expressed ARGs were identified. Next, correlation analysis, gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and protein–protein interaction (PPI) analysis were employed for the differentially expressed ARGs. Moreover, miRNA-gene networks were constructed by the hub ARGs. Finally, RNA expression of the top ten hub ARGs was validated in the SCI cell model and rat SCI model. A total of 27 common differentially expressed ARGs were identified at different time points (1, 3, 7, and 14 days) following SCI. The GO and KEGG enrichment analysis of these ARGs indicated several enriched terms related to proliferation, cell cycle, and apoptotic process. The PPI results revealed that most of the ARGs interacted with each other. Ten hub ARGs were further screened, and all the 10 genes were validated in the SCI cell model. In the rat model, only seven genes were validated eventually. We identified 27 differentially expressed ARGs of the SCI through bioinformatic analysis. Seven real hub ARGs (CCND1, FN1, IGF1, MYC, STAT3, TGFB1, and TP53) were identified eventually. These results may expand our understanding of SCI and contribute to the exploration of potential SCI targets.
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Data Availability
The datasets used and/or analyzed during the current study are available from the corresponding authors on reasonable request.
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Acknowledgements
We thank everyone who provided support for this study. Thank the SangerBox website (http://sangerbox.com/Tool) for the helpful information on this manuscript.
Funding
This study was supported by the National Natural Science Foundation of China [Grant No. 81472355 (XJ)] and The Strategic Priority Research Program of the Chinese Academy of Sciences (XDA16040601). We are sincerely grateful to those who created and maintained these public databases.
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XJJ and CPR were responsible for experimental design. WY, ZPJ, and YWG were responsible for experimental analysis and thesis writing. HCZ, YDC, ZPW, YZ, QC, WDL, and MZ were responsible for data screening, and collection. All authors contributed to the article and approved the submitted version.
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Yin, W., Jiang, Z., Guo, Y. et al. Identification of Anoikis-Related Genes in Spinal Cord Injury: Bioinformatics and Experimental Validation. Mol Neurobiol (2024). https://doi.org/10.1007/s12035-024-04121-8
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DOI: https://doi.org/10.1007/s12035-024-04121-8