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Identification of differentially expressed proteins in rats with spinal cord injury during the transitional phase using an iTRAQ-based quantitative analysis

Authors :
Zhang Chi
Lu Lu
Tianci Chu
Lu Liu
Guangzhi Ning
Shiqing Feng
Hengxing Zhou
Xiaohong Kong
Yi Kang
Liu Jun
Zhongju Shi
Lou Yongfu
Li Xueying
Source :
Gene. 677
Publication Year :
2018

Abstract

Background Spinal cord injury (SCI) is a disease associated with high disability and mortality rates. The transitional phase from subacute phase to intermediate phase may play a major role in the process of secondary injury. Changes in protein expression levels have been shown to play key roles in many central nervous system (CNS) diseases. Nevertheless, the roles of proteins in the transitional phase of SCI are not clear. Methods We examined protein expression in a rat model 2 weeks after SCI and identified differentially expressed proteins (DEPs) using isobaric tagging for relative and absolute protein quantification (iTRAQ). Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of DEPs were performed. Furthermore, we constructed a protein-protein interaction (PPI) network, and the top 10 high-degree core nodes were identified. Meanwhile, we validated protein level changes of five high-degree core regulated proteins using Western blots. Results A total of 162 DEPs were identified between the injury group and the control, of which 101 (62.35%) were up-regulated and 61 (37.65%) were down-regulated in the transitional phase of SCI. Key molecular function, cellular components, biological process terms and pathways were identified and may be important mechanisms in the transitional phase of SCI. Alb, Calm1, Vim, Apoe, Syp, P4hb, Cd68, Eef1a2, Rab3a and Lgals3 were the top 10 high-degree core nodes. Western blot analysis performed on five of these proteins showed the same trend as iTRAQ results. Conclusion The current study may provide novel insights into how proteins regulate the pathogenesis of the transitional phase after SCI.

Details

ISSN :
18790038
Volume :
677
Database :
OpenAIRE
Journal :
Gene
Accession number :
edsair.doi.dedup.....7ec03f0a9dc9ca9f965831ed3e0a15c5