Analysis of the potential pathways and target genes in spinal cord injury using bioinformatics methods

Spinal cord injury (SCI) remains to be the most devastating type of trauma for patients because of long lasting disability and limited response to the acute drug administration and efforts at rehabilitation. With the purpose to identify potential targets for SCI treatment and to gain more insights into the mechanisms of SCI, the microarray data of GSE2270, including 119 raphe magnus (RM) samples and 125 sensorimotor cortex (SMTC) samples, was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened in RM group and SMTC group compared with their corresponding controls, respectively. A protein–protein interaction (PPI) network was constructed based on the common DEGs identified in both RM group and SMTC group. Gene ontology (GO) and pathway enrichment analyses of the overlapping DEGs were performed. Furthermore, the common DEGs enriched in each pathway were analyzed to identify significant regulatory elements. Totally, 173 overlapping DEGs (130 up-regulated and 43 down-regulated) were identified in both RM and SMTC samples. These overlapping DEGs were enriched in different GO terms. Pathway enrichment analysis revealed that DEGs were mainly related to inflammation and immunity. CD68 molecule (CD68) was a hub protein in the PPI network. Moreover, the regulatory network showed that ras-related C3 botulinum toxin substrate 2 (RAC2), CD44 molecule (CD44), and actin related protein 2/3 complex (ARPC1B) were hub genes. RAC2, CD44, and ARPC1B may be significantly involved in the pathogenesis of SCI by participating significant pathways such as extracellular matrix-receptor signaling pathway and Toll-like receptor signaling pathway.     

Bioinformatics identification of the methylerythritol phosphate pathway associated genes in <Emphasis Type="Italic">Arabidopsis thaliana</Emphasis> with <Emphasis Type="Italic">ceh1</Emphasis> mutant

The methylerythritol phosphate (MEP) pathway for the production of isoprenoids is recently discovered. The current study aimed to identify MEP pathway disorder-related molecular mechanisms and potential genes in Arabidopsis thaliana. Microarray data (GSE61675) obtained from ceh1 mutant plants and corresponding parental lines were retrieved from Gene Expression Omnibus (GEO) database and were applied for differentially expressed genes (DEGs) screening. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs were performed. Protein-protein interaction (PPI) network was then constructed and displayed by Cytoscape software. Total 762 DEGs including 620 up-regulated and 142 down-regulated genes were screened. In addition, a great many of DEGs were mainly involved in biosynthesis and metabolism-related pathways, such as stilbenoid, diarylheptanoid, and gingerol biosynthesis, and biosynthesis of terpenoids and steroids. Moreover, a PPI network contained 90 down-regulated genes and 497 up-regulated genes were obtained. Up-regulated DEGs including glutaredoxin (GRX480, cytochrome BC1 synthase (BCS1, syntaxin of plants 121 (SYP121) and A. thaliana MAP kinase 11 (ATMPK11) with higher degree in this network were hub nodes. Pathways including stilbenoid, diarylheptanoid, and gingerol biosynthesis obtained in our study were consistent with previous studies. Importantly, GRX480, BCS1 and ATMPK11 could have close interactions with the MEP pathway and may play important roles in the biosynthesis of isoprenoids.