ArticleEuropean journal of medical research2022
Analysis of gene expression profiles in two spinal cord injury models.
Article in European journal of medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed.
- Integrated multi-omics profiling uncovers miRNA-guided regulatory networks after spinal cord injury in rats.Molecular therapy. Nucleic acids · 2025Article
- Unlocking TB-COPD Pathogenesis: A Biotechnological Approach Targeting the PI3K/Akt Pathway.Iranian journal of biotechnology · 2025Article
- Unravelling the Road to Recovery: Mechanisms of Wnt Signalling in Spinal Cord Injury.Molecular neurobiology · 2024Review
- Sexual Dimorphism of Spinal Neural Circuits Controlling the Mouse External Urethral Sphincter With and Without Spinal Cord Injury.The Journal of comparative neurology · 2024Article
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Authors and funding
6 authors.
Funding
Abstract
objectivesTo analyze the changes of gene expression at different timepoints after spinal cord injury (SCI) with tenth segment thoracic injury.
methodsTwo SCI models, the complete paraplegia (H) and Allen's strike (D) methods were applied to induce SCI in rats, and transcriptome sequencing was performed 1, 3, 7, 14, 56, and 70 days after SCI, respectively. Principal component analysis, differentially expressed gene analysis, and hierarchical clustering analysis were applied to analyze the differentially expressed genes (DEGs). Gene Ontology GO enrichment analysis, Kyoto Encyclopedia of Genes and Genomes enrichment analysis, and Gene Set Enrichment Analysis revealed the pathway of gene enrichment.
resultsThere were 1,907, 3,120, 3,728, 978, 2,319, and 3,798 DEGs in the complete paraplegia group and 2,380, 878, 1,543, 6,040, 1,945, and 3,850 DEGs in the Allen's strike method group and after SCI at 1, 3, 7, 14, 56, and 70 days, respectively. The transcriptome contours of D1, H1, D3, and H14 were clustered with C; the H56, D56, H70, and D70 transcriptome contours were similar and clustered together. H3, D7, and H7 were clustered together, and D14 was clustered separately. The transcriptome differences of the two SCI models were mainly concentrated during the first 2 weeks after SCI. The DEGs after SCI in the complete paraplegia group were more concentrated. Most of the early transcriptional regulation stabilized within 2 weeks after injury.
conclusionsThere were DEGs between the two SCI models. Through the gene changes and pathway enrichment of the entire time period after SCI, the molecular mechanism of SCI repair was revealed in depth, which provided a reference for SCI treatment in the future.
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