The integrative analysis of promoter methylation & gene expression patterns in chip data

• Main Authors: Pei-Chen Tai, 戴貝蓁
• Other Authors: Li-Ching Wu
• Format: Others
• Language: en_US
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/40813211763695915136

碩士 === 國立中央大學 === 系統生物與生物資訊研究所 === 98 === There is a tendency towards high throughput technology in many aspects. A large number of researches utilize microarray to study the whole genome or the majority of specific sites that would be concerned. We use the HCC methylation beadchip obtained from the Department of Microbiology and Immunology at National Defense Medical Center, and download the raw data of HCV relative expression array from The Gene Expression Omnibus (GEO) database was established by National Center for Biotechnology Information (NCBI) to compare with methylation array data. Construct gene lists by cross mapping gene selection. We show the evidence that the variation of gene methylation level is obvious between the tumor tissues and peripheral tissues. When the methylation occurs at the upstream of a gene, its downstream may be affected by other factors at the same time. To have a comparison with the condition of some genes were proved by others, this study may provide a point of view to combine epigenetic knowledge and expression data, therefore make if helpful for our further research.