Study of the Gene Expressions in Rheumatoid Arthritis Synovial Macrophages Using Network Analysis.
10.4078/jrd.2011.18.2.101
- Author:
Jong Dae JI
1
;
Tae Hwan KIM
;
Bitnara LEE
;
Sung Jae CHOI
;
Young Ho LEE
;
Gwan Gyu SONG
Author Information
1. Department of Rheumatology, College of Medicine, Korea University University, Seoul, Korea. jjdjmesy@korea.ac.kr
- Publication Type:Original Article
- Keywords:
Rheumatoid arthritis;
Synovial macrophages;
Microarray;
Bioinformatics
- MeSH:
Antigen Presentation;
Arthritis, Rheumatoid;
Biological Processes;
Cell Cycle;
Computational Biology;
Gene Expression;
Genes, vif;
Macrophages;
Oligonucleotide Array Sequence Analysis;
Synovial Fluid;
Transcription Factor AP-1;
Transcriptome
- From:Journal of Rheumatic Diseases
2011;18(2):101-109
- CountryRepublic of Korea
- Language:Korean
-
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.
