透過您的圖書館登入
IP:3.149.26.246
  • 學位論文

運用R及Bioconductor篩選差異性表達基因及探討相關之miRNAs-以前列腺癌為例

Using R and Bioconductor to identify differentially expressed genes and investigate related miRNAs –Prostate Cancer as a study case

指導教授 : 吳家樂 博士
若您是本文的作者,可授權文章由華藝線上圖書館中協助推廣。

摘要


微陣列實驗可以一次記錄上萬個基因的表達,並可經由資料分 析,從中篩選差異性表達基因。但是微陣列的數據有多種背景雜訊, 因此ㄧ種能從微陣列中擷取差異性表達基因的分析方法便非常重要。 R為整合型資料處理及統計軟體;Bioconductor是以R為基礎的應 用軟體集,可分析不同的基因微陣列資料。本研究以R及Bioconductor 篩選前列腺癌微陣列的差異性表達基因(differentially expressed genes, DEGs),再利用TAG, ncRNAppi及miR2Disease等三個資料庫,探討調 控DEGs之相關miRNAs及其與人類癌症之關係。 經分析後,得出如下的結果:(1)前100名差異性表達基因之調整p 值皆小於5 1.9 10  ,其中有16個與癌症相關、(2) FOS, AXL及TGFBR2 分別受到miR-101, miR-1及miR-20a調控,PLP2, CD59受到miR-124調 控,而GJA1則受到miR-206及miR-1調控、(3) miR-101與包括前列腺 癌在內的六種癌症有關;miR-1與四種癌症有關;miR-20a與包括前列 腺癌在內的八種癌症有關;miR-124與一種癌症有關;miR-206與二種 癌症有關、(4) TGFBR2受miR-20a調控而影響前列腺癌的發生。 最後建立網頁將結果提供查詢, 網址為: http://ppi.bioinfo.asia.edu.tw/R_prostate_cancer/index.htm

並列摘要


Microarray experiment enables us to record the expression levels of thousands of genes at one time and identify differentially expressed genes(DEGs). Microarray technology involves many steps and for each step there may introduce background noises, so an effective way of identifying DEGs from microarray becomes very important. The R is a kind of integrated data processing and statistical software, and the Bioconductor is a R-based application software of analying genomic information that can be used to analyze microarray data. In this study, the R and Bioconductor are used to screen and analyze DEGs of microarray of prostate cancer data. By integrating the Tumor Associated Gene (TAG), ncRNAppi and miR2Disease databases, it is found that certain DEGs are regulated by microRNAs. The findings are as follows: (1) the adjusted p-values of the top 100 DEGs are less than 5 1.9 10  , and there are 16 cancer-related genes among the top 100 DEGs, (2) three genes, FOS, AXL and TGFBR2, are regulated by the microRNA miR-101, miR-1 and miR-20a, respectively, and two genes, the PLP2 and CD59, are regulated by the microRNA miR-124, and GJA1, is regulated by both miR-206 and miR-1, (3) miR-101 is related with six types of cancers, including prostate cancer, and miR-1 is related with four types of cancers, and the miR-20a is related with eight types of cancers, including prostate cancer, and the miR-124 is related with one type of cancer, and the miR-206 is related with two types of cancers, and (4) TGFBR2 is regulated by miR-20a inducing prostate cancer. The web site of studying results is available at http://ppi.bioinfo.asia.edu.tw/R_prostate_cancer/index.htm.

參考文獻


[26]Efron B, Tibshirani R, Storey J, and Tusher V. (2001). Empirical
[1]黃俊豪(2003),”基因微陣列排列與掃描技術之研究,”國立台灣大學應用力學研究所碩士論文.
[2]陳麗如(2003),”cDNA微陣列資料的新normalization方法,”國立 成功大學統計學研究所碩士論文.
[3]Efron B and Tibshirani R. (2002). Empirical bayes methods and false discovery rates for microarrays.Genet Epidemiol, 23(1), p.70-86.
(2002). Statistical analysis of a gene expression microarray experiment

延伸閱讀