C Zhang1, L Shen. 1. Huazhong University of Science and Technology Affiliated Tongji Medical College of Traditional Chinese and Western Medicine Hospital, Wuhan, China.
Abstract
BACKGROUND: Ankylosing spondylitis (AS) is a chronic inflammatory arthritis involving primarily the sacroiliac joints and the axial skeleton that can lead to bone resorption and bone formation, ultimately resulting in ankylosis. However, our understanding of the genetic mechanisms of AS are far from being clear. AIM: In this study, we identified the differentially expressed genes (DEGs) in AS samples compared with healthy control, and mapped these DEGs to the protein-protein interaction network. MATERIALS AND METHODS: We applied a statistical approach of MCODE to cluster proteins in the network. Six functional modules were identified in our network. CONCLUSIONS: Functional studies of these 6 modules suggest that the DEGs may play roles in both the inflammatory environment and bone and cartilage effects. We anticipate the results from this study will provide the groundwork for the understanding of AS pathogenesis.
BACKGROUND:Ankylosing spondylitis (AS) is a chronic inflammatory arthritis involving primarily the sacroiliac joints and the axial skeleton that can lead to bone resorption and bone formation, ultimately resulting in ankylosis. However, our understanding of the genetic mechanisms of AS are far from being clear. AIM: In this study, we identified the differentially expressed genes (DEGs) in AS samples compared with healthy control, and mapped these DEGs to the protein-protein interaction network. MATERIALS AND METHODS: We applied a statistical approach of MCODE to cluster proteins in the network. Six functional modules were identified in our network. CONCLUSIONS: Functional studies of these 6 modules suggest that the DEGs may play roles in both the inflammatory environment and bone and cartilage effects. We anticipate the results from this study will provide the groundwork for the understanding of AS pathogenesis.
Authors: Nana Jin; Deng Wu; Yonghui Gong; Xiaoman Bi; Hong Jiang; Kongning Li; Qianghu Wang Journal: Biomed Res Int Date: 2014-08-27 Impact factor: 3.411