Interaction of cellular-localized signature modules in response to prostate cancer  

作　　者：Zhu Jing Guo Zheng Zhang Min Yang Da Wang Jang Wang Chenguang 

机构地区：[1]School of Life Science and Bioinformatics Centre, University of Electronic Science and Technology of China, Chengdu 610054, China [2]Department of Bioinformatics, Bio-Pharmaceutical Key Laboratory of Heilongjiang Province, Harbin Medical University, Harbin150081, China

出　　处：《Progress in Natural Science:Materials International》2007年第11期1368-1375,共8页自然科学进展·国际材料（英文版）

基　　金：Supported by National Natural Science Foundation of China (Grant Nos 30170515 ,30370388);the National High-Tech Development Pro-ject of China (Grant Nos 2003AA2Z2051 and 2002AA2Z2052)

摘　　要：Rapid progress in high-throughput biotechnologies (e.g. microarrays) and exponential accumulation of gene functional knowledge makes it promising for systematic understanding of complex human diseases at the functional modules level. Current modular categorizations can be defined and selected more specifically and precisely in terms of both biological processes and cellular locations, aiming at uncovering the modular molecular networks highly relevant to cancers. Based on Gene Ontology, we identifed the functional modules enriched with differentially expressed genes and characterized by biological processes and specific cellular locations. Then, according to the ranking of the disease discriminating abilities of the pre-selected functional modules, we further defined and filtered signature modules which have higher relevance to the cancer under study. Applications of the proposed method to the analysis of a prostate cancer dataset revealed insightful biological modules.Rapid progress in high-throughput biotechnologies （e. g. microarrays） and exponential accumulation of gene functional knowledge makes it promising for systematic understanding of complex human diseases at the functional modules level. Current modular categorizations can be defined and selected more specifically and precisely in terms of both biological processes and cellular locations, aiming at uncovering the modular molecular networks highly relevant to cancers. Based on Gene Ontology, we identifed the functional modules enriched with differentially expressed genes and characterized by biological processes and specific cellular locations. Then, according to the ranking of the disease discriminating abilities of the pre-selected functional modules, we further defined and filtered signature modules which have higher relevance to the cancer under study. Applications of the proposed method to the analysis of a prostate cancer dataset revealed insightful biological modules.

关 键 词：microarray analysis Gene Ontology classification analysis cellular location functional module. 

分 类 号：Q78[生物学—分子生物学]