Knowledge Enrichment Analysis for Human Tissue-Specific Genes Uncover New Biological Insights
The expression and regulation of genes in different tissues are fundamental questions to be answered in biology. Knowledge enrichment analysis for tissue specific (TS) and housekeeping (HK) genes may help identify their roles in biological process or diseases and gain new biological insights.In this paper, we performed the knowledge enrichment analysis for 17,343 genes in 84 human tissues using Gene Set Enrichment Analysis (GSEA) and Hypergeometric Analysis (HA) against three biological ontologies: Gene Ontology (GO), KEGG pathways and Disease Ontology (DO) respectively.The analyses results demonstrated that the functions of most gene groups are consistent with their tissue origins. Meanwhile three interesting new associations for HK genes and the skeletal muscle tissuegenes are found. Firstly, Hypergeometric analysis against KEGG database for HK genes disclosed that three disease terms (Parkinsons disease, Huntingdons disease, Alzheimers disease) are intensively enriched.Secondly, Hypergeometric analysis against the KEGG database for Skeletal Muscle tissue genes shows that two cardiac diseases of Hypertrophic cardiomyopathy (HCM) and Arrhythmogenic right ventricular cardiomyopathy (ARVC) are heavily enriched, which are also considered as no relationship with skeletal functions.Thirdly, Prostate cancer is intensively enriched in Hypergeometric analysis against the disease ontology (DO) for the Skeletal Muscle tissue genes, which is a much unexpected phenomenon.
Xiu-Jun GONG Hua YU Chun-Bai YANG Yuan-Fang LI
School of Computer Science and Technology, Tianjin University, Weijin Rd No. 92, Nankan,Tianjin, 300 Clayton School of IT, Faculty of Information Technology,Monash University, Wellington Rd,Clayton, Vi
国际会议
杭州
英文
40-51
2012-04-02（万方平台首次上网日期，不代表论文的发表时间）