Network Analysis을 이용한 류마티스관절염 활액 대식세포에서 유전자 발현 연구

Abstract

Objective. We wanted to investigate the mechanisms that could account for the pathogenesis of rheumatoid arthritis, so we examined the different expressions of the genes in rheumatoid arthritis (RA) synovial fluid macrophages as compared with that of normal peripheral blood (PB) monocyte-derived macrophages using microarray and bioinformatic analysis. Methods. We examined the expression of genes by using a gene expression oligonucleotide microarray. The differences of the gene expressions between the RA synovial macrophages and the normal PB monocytes-derived macrophages were analyzed using bioinformatic tools, including cytoscape and its plugin. Results. In this study, we found that 899 genes (464 genes up-regulated and 435 genes down-regulated) were differentially expressed between the two groups. Among the 899 genes, 552 genes were included for gene ontology analysis and network analysis. Based on biological process ontology, they were categorised mainly into immune response processes, responses to stimulus and signaling and regulation of biological processes. In addition to the genes related with STAT1 and AP-1 signaling, we found that the genes involved in the antigen processing and the cell cycle are abundantly expressed in RA synovial macrophages, suggesting that these genes may play an important role in the pathogenesis of RA. Conclusion. Our study suggest that this approach using integration of the gene expression profile with the protein interaction data may help to find several important pathogenic mechanisms in RA.