ArticleNeural regeneration research2021
Identification of four differentially expressed genes associated with acute and chronic spinal cord injury based on bioinformatics data.
Article in Neural regeneration research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 20 citations in OpenAlex.
- Metabolic Reprogramming in Spinal Cord Injury and Analysis of Potential Therapeutic Targets.Journal of molecular neuroscience : MN · 2025Article
- Pharmacological Network Analysis of the Functions and Mechanism of Quercetin From Jisuikang (JSK) in Spinal Cord Injury (SCI).Journal of cellular and molecular medicine · 2024Article
- Uncovering the shared neuro-immune-related regulatory mechanisms between spinal cord injury and osteoarthritis.Heliyon · 2024Article
- Alteration of LARGE1 abundance in patients and a mouse model of 5q-associated spinal muscular atrophy.Acta neuropathologica · 2024Article
- Unbiased multitissue transcriptomic analysis reveals complex neuroendocrine regulatory networks mediated by spinal cord injury-induced immunodeficiency.Journal of neuroinflammation · 2023Article
- Macrophage migration inhibitory factor facilitates astrocytic production of the CCL2 chemokine following spinal cord injury.Neural regeneration research · 2023Article
- Microglial expression of CD83 governs cellular activation and restrains neuroinflammation in experimental autoimmune encephalomyelitis.Nature communications · 2023Article
- Identification of hub genes in the subacute spinal cord injury in rats.BMC neuroscience · 2022Article
- Revealing Potential Spinal Cord Injury Biomarkers and Immune Cell Infiltration Characteristics in Mice.Frontiers in genetics · 2022Article
- Inhibition of IL1R1 or CASP4 attenuates spinal cord injury through ameliorating NLRP3 inflammasome-induced pyroptosis.Frontiers in immunology · 2022Article
- The Network of miRNA-mRNA Interactions in Circulating T Cells of Patients Following Major Trauma - A Pilot Study.Journal of inflammation research · 2022Article
- Bioinformatic analysis of the gene expression profile in muscle atrophy after spinal cord injury.Scientific reports · 2021Article
- GPNMB Modulates Autophagy to Enhance Functional Recovery After Spinal Cord Injury in Rats.Cell transplantationArticle
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Complex pathological changes occur during the development of spinal cord injury (SCI), and determining the underlying molecular events that occur during SCI is necessary for the development of promising molecular targets and therapeutic strategies. This study was designed to explore differentially expressed genes (DEGs) associated with the acute and chronic stages of SCI using bioinformatics analysis. Gene expression profiles (GSE45006, GSE93249, and GSE45550) were downloaded from the Gene Expression Omnibus database. SCI-associated DEGs from rat samples were identified, and Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed. In addition, a protein-protein interaction network was constructed. Approximately 66 DEGs were identified in GSE45550 between 3-14 days after SCI, whereas 2418 DEGs were identified in GSE45006 1-56 days after SCI. Moreover, 1263, 195, and 75 overlapping DEGs were identified between these two expression profiles, 3, 7/8, and 14 days after SCI, respectively. Additionally, 16 overlapping DEGs were obtained in GSE45006 1-14 days after SCI, including Pank1, Hn1, Tmem150c, Rgd1309676, Lpl, Mdh1, Nnt, Loc100912219, Large1, Baiap2, Slc24a2, Fundc2, Mrps14, Slc16a7, Obfc1, and Alpk3. Importantly, 3882 overlapping DEGs were identified in GSE93249 1-6 months after SCI, including 3316 protein-coding genes and 567 long non-coding RNA genes. A comparative analysis between GSE93249 and GSE45006 resulted in the enrichment of 1135 overlapping DEGs. The significant functions of these 1135 genes were correlated with the response to the immune effector process, the innate immune response, and cytokine production. Moreover, the biological processes and KEGG pathways of the overlapping DEGs were significantly enriched in immune system-related pathways, osteoclast differentiation, the nuclear factor-κB signaling pathway, and the chemokine signaling pathway. Finally, an analysis of the overlapping DEGs associated with both acute and chronic SCI, assessed using the expression profiles GSE93249 and GSE45006, identified four overlapping DEGs: Slc16a7, Alpk3, Lpl and Nnt. These findings may be useful for revealing the biological processes associated with SCI and the development of targeted intervention strategies.
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