基础医学与生物科学学院学术报告

发布者:系统管理员发布时间:2009-04-07浏览次数:957


学术报告

题目:Bioinformatics analysis of molecular mechanism of microRNAs in signaling pathways and glioblastoma

报告人:徐建震

时间:200949日(周四)下午200

地点:苏州大学独墅湖校区403号楼一楼3119会议室

报告人简介:

徐建震,男,现为中国科学院广州生物医药与健康研究院整合生物中心在读博士。

1999年本科毕业于华南农业大学, 生物技术专业;

2006年硕士毕业于哈尔滨医科大学生物信息学学院,生物信息专业;

2009年将博士毕业于中国科学院广州生物医药与健康研究院,生物化学与分子生物学专业。

报告内容简介:

MicroRNAs (miRNAs) are one class of short, endogenous RNAs which can regulate gene expression at the post-transcriptional level.Previous analysis revealed that mammalian miRNAs tend to cluster on chromosomes. However, the functional consequences of this clustering and conservation property are largely unknown. In the first study,I present a method to identify signaling pathways targeted by clustered miRNAs. I performed a computational screen for mouse signaling pathways targeted by miRNA clusters and found 3 miRNA clusters are overrepresented in 15 signaling pathways. Experimental evidence showed that one miRNA cluster, mmu-mir-183–96–182 targets Irs1, Rasa1, and Grb2, all of which are located in the insulin signaling pathway. miRNA target prediction is a key step towards functional analysis. In the second example, i presented a procedure that combined bioinformatics analysis with biological experiment observation to predict bona fide targets. By this procedure, I found one brain enriched miRNA could target anti-apoptosis family members. Furthermore,I confirmed all the two predicted targets with experimental approaches in glioblastoma cell lines.

近年主要研究成果

[1] Liming Zhao, Ting Liang, Jianzhen Xu, Hui Lin, Dandan Li, Yanhua Qi. (2009): Two novel FBN1 gene mutations with ectopia lentis and marfanoid habitus in two Chinese families accepted in molecular vision2007 IF=2.3

[2] Jianzhen Xu and chiwai Wong.(2008): A computational screen for mouse signaling pathways targeted by microRNA clusters. RNA,14(7):1276-1283 (2007 IF=5.84)

[3]李永庆 徐建震 孟志刚 李永进 染色体上聚集的microRNAs具有更多共同的靶基因 生物物理学报-20076期(通讯作者)

[4] Jianzhen Xu and Yongjin Li.(2006): Discovering disease genes by topological features in human protein-protein interaction network. Bioinformatics,22:2800~2805 (Corresponding author) (2006 IF=4.89)

[5] Dong Wang, Yingli Lv, Zheng Guo, Xia Li, Yanhui Li, Jing Zhu, Da Yang, Jianzhen Xu, Chenguang Wang, Shaoqi Rao, and Baofeng Yang. (2006): Effects of replacing the unreliable cDNA microarray measurements on the disease classification based on gene expression profiles and functional modules. Bioinformatics,22:2883~2889 (2006 IF=4.89)

[6] Jianzhen Xu, Zheng Guo,Min Zhang, Xia Li, Yongjin Li, Shao-qi Rao. (2006): Peeling off the hidden genetic heterogeneities of cancers based on disease-relevant functional modules. Molecular Medicine 12(1–3):25-33 (2006 IF=2.7)

[7] Zheng Guo, Tianwen Zhang, Xia Li, Qi Wang, Jianzhen Xu, Hui Yu, Jing Zhu, Haiyun Wang,Topol EJ, Shaoqi Rao. (2005): Towards precise classification of cancers based on robust gene functional expression profiles. BMC Bioinformatics 6:58. (2005 IF=5.42)

[8] 徐建震 郭政 李霞 李永进 屠康 结合基因功能分类体系筛选聚类特征基因  生物物理学报-20053

[9] 柏锡 徐建震 朱延明 马铃薯密码子用法分析及其在t-PA基因密码子改造上的应用 遗传-20041

(基础医学与生物科学学院)