Zou Shien, Zhang Shaofen, Long Qiqi, Cao Yuankui, Zhang Wei
Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200011, China.
Genet Test Mol Biomarkers. 2013 Aug;17(8):641-5. doi: 10.1089/gtmb.2012.0449. Epub 2013 Jun 25.
Microarray data were analyzed using bioinformatic tools to screen marker genes of human mesenchymal stem cells (hMSC) in response to bone morphogenetic protein 6 (BMP6).
A total of 190 differentially expressed genes were identified. The interaction network was divided into three functional modules. These genes were connected with BMP signaling pathways and regulation of cell processes, while NOG and BMPR2 participated in the transforming growth factor-beta signal pathway. Besides, several related small molecules were acquired.
Marker genes in osteogenic responses to BMP6 treatment for hMSC were screened with microarray data along with elaborate function analysis by bioinformatics. NOG and BMPR2 showed potential to become indicators to monitor the directed differentiation of hMSC into osteoblasts, which can be used for bone disease treatment. Moreover, small molecules such as W-13 were retrieved and provided directions for future drug design.
使用生物信息学工具分析微阵列数据，以筛选人骨髓间充质干细胞（hMSC）对骨形态发生蛋白6（BMP6）反应的标记基因。
共鉴定出190个差异表达基因。相互作用网络分为三个功能模块。这些基因与BMP信号通路和细胞过程调控相关，而NOG和BMPR2参与转化生长因子-β信号通路。此外，还获得了几种相关小分子。
利用微阵列数据及生物信息学的精细功能分析，筛选出hMSC对BMP6治疗成骨反应中的标记基因。NOG和BMPR2显示出成为监测hMSC向成骨细胞定向分化指标的潜力，可用于骨疾病治疗。此外，还检索到如W-13等小分子，为未来药物设计提供了方向。
