ArticleMolecular biology reports2014
Identifying gene expression profile of spinal cord injury in rat by bioinformatics strategy.
Article in Molecular biology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 25 citations in OpenAlex.
- MicroRNAs in spinal cord injury: A narrative review.Frontiers in molecular neuroscience · 2023Review
- Microarray and Bioinformatics Analysis of Differential Gene and lncRNA Expression during Erythropoietin Treatment of Acute Spinal Cord Injury in Rats.Computational and mathematical methods in medicine · 2022Review
- Insight into molecular profile changes after skeletal muscle contusion using microarray and bioinformatics analyses.Bioscience reports · 2021Article
- The BET family in immunity and disease.Signal transduction and targeted therapy · 2021Review
- Transcriptional Factors and Protein Biomarkers as Target Therapeutics in Traumatic Spinal Cord and Brain Injury.Current neuropharmacology · 2020Review
- Identification of critical genes associated with spinal cord injury based on the gene expression profile of spinal cord tissues from trkB.T1 knockout mice.Molecular medicine reports · 2019Article
- Biomarkers in Spinal Cord Injury: from Prognosis to Treatment.Molecular neurobiology · 2018Review
- Identification of pivotal genes and pathways for spinal cord injury via bioinformatics analysis.Molecular medicine reports · 2017Article
- Transcriptome profile of rat genes in injured spinal cord at different stages by RNA-sequencing.BMC genomics · 2017Article
- miR-320a affects spinal cord edema through negatively regulating aquaporin-1 of blood-spinal cord barrier during bimodal stage after ischemia reperfusion injury in rats.BMC neuroscience · 2016Article
- Further insight into molecular mechanism underlying thoracic spinal cord injury using bioinformatics methods.Molecular medicine reports · 2015Article
- MiR-27a ameliorates inflammatory damage to the blood-spinal cord barrier after spinal cord ischemia: reperfusion injury in rats by downregulating TICAM-2 of the TLR4 signaling pathway.Journal of neuroinflammation · 2015Article
- Analyzing time-series microarray data reveals key genes in spinal cord injury.Molecular biology reports · 2014Article
- microRNAs in spinal cord injury: potential roles and therapeutic implications.International journal of biological sciences · 2014Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spinal cord injury (SCI) leads to the loss of sensory, motor, and autonomic function. We aimed to identify the therapeutic targets of-SCI by bioinformatics analysis. The gene expression profile of GSE20907 was downloaded from gene expression omnibus database. By comparing gene expression profiles with control samples, we screened out several differentially expressed genes (DEGs) in 3 days, 2 weeks and 1 month post-SCI. The pathway enrichment and protein-protein interaction (PPI) network analysis for the identified DEGs were performed. Then, transcription factors and microRNAs for DEGs were predicted. We found that up-regulated DEGs mainly participated in cell cycle, oxidative phosphorylation and immune-related pathways; while down-regulated DEGs were mainly involved in oxidative phosphorylation and central nervous system disease signaling pathways. In the constructed PPI network, Bub1, Vascular endothelial growth factor, Topoisomerase IIα (TOP2a) and Cdc20 showed better correspondence with cell cycle, repair system and nerve system. Furthermore, the up-regulated genes (Arpc1b, CD74 and Brd2) significantly mapped to the target genes of transcription factors. The down-regulated genes of 3 days post-injury and the up-regulated genes of 2 weeks post-injury were significantly enriched as the target genes of microRNAs (miR-129 and miR-124). In conclusion, our results may provide guidelines to discuss the collaboration of PPI network in carcinogenesis of SCI.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.