運用統計方法與微陣列技術探討放射線照射後之未同步化腦腫瘤細胞內基因表現

Abstract

微陣列技術是一種高生產量的技術，利用這種新技術我們可以在很短的時間裡觀察到大量基因的表現情形。為了探討放射線照射後的腦腫瘤細胞內基因表現情形，我們根據陽明大學吳國海教授實驗室所提供的微陣列實驗資料，進行統計分析。此實驗為了模擬真實活體中基因的表現情形，並未進行同步化的步驟。另一方面，非同步化的實驗也可節省實驗的經費與時間。然而，非同步化的資料卻形成分析上的挑戰。本篇論文嘗試利用統計方法，分析微陣列技術與細胞流速測量之資料，估計基因在生物細胞週期中的真實表現量，藉此區隔非同步化的影響。

Microarray is a high throughput technique. We can observe a large number of gene expressions by this new technique in a short time. In order to understand the gene expression profiles in different phases of cell cycles of human glioma cells after gamma irradiation, microarray experiments are performed in Professor Ngo’s laboratory at National Yang-Ming University (Ngo, Chan, Chang, 2001). The experiments are non-synchronized to imitate the in vivo expression pattern. Furthermore, these will provide fast and economic approaches to screen the gene functions. However, these data bring us challenges in analysis. This study is an attempt to separate the effect of non-synchronization from the genuine cell cycle function by statistical methods for microarray data with cell proportions measured by flow cytometry.