※ [本文转录自 NCTU-STAT96G 看板] 作者: cyz ( ) 看板: NCTU-STAT96G 标题: 1221演讲＠清大统研所 时间: Wed Dec 19 18:28:51 2007 清华大学、交通大学 统 计 学 研 究 所 专 题 演 讲 题 目: A network biology approach for disease study 主讲人: 杨永正 教授 (阳明大学生物医学资讯研究所) 时 间: 96年12月21日（星期五）10：40 - 11：30 （上午10：20-10：40茶会於统计所821室举行） 地 点: 清大综合三馆837室 Abstract Interacting proteins may play similar roles in a biological process and lead to the same phenotype or disease. Previous study showed that the disease gene products of several Spinocerebellar ataxia (SCA) subtypes interact with each other directly or indirectly. This observation supports the close relation between protein interaction and the phenotype. We thus took advantage of this relation to predict novel disease gene of other subtypes of SCA. In order to assess the reliability, we used known SCA subtypes, e.g. SCA1 and SCA2, as positive controls to test the performance of this approach. The known disease genes of SCA1 SCA2, and SCA3 were found in the top two places in the candidate list. The disease genes of other subtypes, such as SCA6, SCA7, were ranked in the top 5th and 10th position in the candidate list, respectively. Therefore, it is possible to apply this method to predict candidates for those SCA subtypes, which do not have a disease gene yet. This new network-based approach does not require any sequence feature, so this method has the potential to predict candidate genes for other types of diseases. In contrast to simple diseases, many risk genes are involved in the complex diseases, such as schizophrenia. This disease was studied by linkage analysis, association study, or even comparative genome hybridization. It’s interesting to observe that the proteins encoded by these risk genes are mutual neighbors in the human protein interaction network. Two protein clusters were found on the basis of the distance among these proteins. These clusters seem to be involved in neural transmission and neural development, respectively. A possible pathway was proposed on the basis of protein interactions, which might be useful in exploring the disease mechanism. 敬请公布 欢迎参加 --

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