Identification of Key Pathways and Genes in L4 Dorsal Root Ganglion (DRG) After Sciatic Nerve Injury via Microarray Analysis.
He ZhaoLi-Jun DuanQing-Ling SunYu-Shan GaoYong-Dong YangXiang-Sheng TangDing-Yan ZhaoYang XiongZhen-Guo HuChuan-Hong LiSi-Xue ChenTao LiuXing YuPublished in: Journal of investigative surgery : the official journal of the Academy of Surgical Research (2018)
Background: Peripheral nerve injury (PNI) has devastating consequences. Dorsal root ganglion as a pivotal locus participates in the process of neuropathic pain and nerve regeneration. In recent years, gene sequencing technology has seen rapid rise in the biomedicine field. So, we attempt to gain insight into in the mechanism of neuropathic pain and nerve regeneration in the transcriptional level and to explore novel genes through bioinformatics analysis. Methods: The gene expression profiles of GSE96051 were downloaded from GEO database. The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were performed, and protein-protein interaction (PPI) network of the differentially expressed genes (DEGs) was constructed by Cytoscape software. Results: Our results showed that both IL-6 and Jun genes and the signaling pathway of MAPK, apoptosis, P53 present their vital modulatory role in nerve regeneration and neuropathic pain. Noteworthy, 13 hub genes associated with neuropathic pain and nerve regeneration, including Ccl12, Ppp1r15a, Cdkn1a, Atf3, Nts, Dusp1, Ccl7, Csf, Gadd45a, Serpine1, Timp1 were rarely reported in PubMed database, these genes may provide us the new orientation in experimental research and clinical study. Conclusions: Our results may provide more deep insight into the mechanism and a promising therapeutic target. The next step is to put our emphasis on an experiment level and to verify the novel genes from 13 hub genes.
Keyphrases
- neuropathic pain
- bioinformatics analysis
- spinal cord
- spinal cord injury
- genome wide identification
- genome wide
- peripheral nerve
- stem cells
- signaling pathway
- transcription factor
- protein protein
- genome wide analysis
- emergency department
- copy number
- small molecule
- oxidative stress
- gene expression
- endoplasmic reticulum stress
- cell death
- liver fibrosis
- single cell
- network analysis
- drug induced
- adverse drug
- liver injury
- cell cycle arrest
- electronic health record