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研究生: 邱奕豪
Chiu, Yi-Hao
論文名稱: 建立核醣體結合位置分析平台以確認大腸息肉的生物標誌物
Establishing the ribosome profiling data analysis platform to identify the biomarker of colon polyps
指導教授: 曾大千
Tseng, Ta-Chien
學位類別: 碩士
Master
系所名稱: 生物科學與科技學院 - 生物科技與產業科學系
Department of Biotechnology and Bioindustry Sciences
論文出版年: 2018
畢業學年度: 106
語文別: 中文
論文頁數: 78
中文關鍵詞: 核醣體定位技術核糖核酸測序法生物標誌大腸息肉
外文關鍵詞: Ribosome profiling, RNA sequencing, Biomarker, Colon polyps
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  • 大腸息肉主要生長於大腸內襯,好發於大腸左側。其大致可分為腫瘤性與非腫瘤性兩種。腫瘤性息肉極高可能轉變成大腸癌,反之非腫瘤性息肉癌化機率小。息肉亞型中的無蒂鋸齒狀腺瘤(息肉)即屬腫瘤性,而增生性息肉屬非腫瘤性。但因兩者型態相似,很難用組織切片方式區分。因此Kanth等人使用核糖核酸測序法想辦法能找出區分此兩種型態的生物標誌。但核糖核酸的量與蛋白表現量並非完全一致,所以找出來的生物標誌有時不能真實反映生理情形。有鑑於此,Ingolia等人提出核醣體定位技術,幫助我們找到實際有生理功能之蛋白質。本研究的目標即利用核醣體定位技術找出特定的蛋白表現情形,以區分無蒂鋸齒狀腺瘤與增生性息肉。然而目前核醣體定位技術在定序資料分析上尚未有一套完善的分析方法,因此本論文一開始會先建立完善的分析流程,並以此流程分析四組增生性息肉與七組無蒂鋸齒狀腺瘤息肉組織,計算各基因表現量,並進行差異基因表現分析,主成分分析與階層式分群。最後共找到有六個基因可以作為區分兩種息肉型態的潛在生物標誌。

    Colon polyps are small clump grow on the lining of the colon. There are 2 types of colon polyps, one is non-neoplastic and the other is neoplastic. Hyperplastic polyps (HPs) are non-neoplastic polyps and grow very slowly. Sessile serrated adenoma/polyps (SSA/Ps) are belong to neoplastic and show malignant potential. Histologically, differentiating SSA/Ps from HPs remains troublesome because the overlapping morphological and pathological features. Kanth et al. used RNA sequencing (RNA-seq) technology to find candidate biomarkers that can differentiate SSA/Ps from traditional HPs, but mRNA expression levels are not totally correlated with the protein expression, and the translation regulation mechanism plays an important role to modulate expression level of protein. To overcome these problems, Ingolia et al. developed a powerful method called ribosome profiling, also known as Ribo-seq. This new method provide a better proxy for monitoring the protein levels in the cell than RNA-seq. In the study, I developed a novel and robust analysis pipeline for ribosome profiling data and analysed the gene expression data of 4 HPs and 7 SSA/Ps. After that, a series of differentially expressed gene analysis was conducted, like principal components analysis and hierarchical clustering to find the key markers that can distinguish SSA/Ps from HPs. Finally, 6 genes was identified to be potential biomarkers for the future clinical application.

    中文摘要 I 英文摘要 II 誌謝 IX 目錄 X 表目錄 XIII 圖目錄 XIV 中英對照與英文縮寫表 XVI 第一章 緒論 1 1-1轉譯調控 1 1-1-1中心法則 1 1-1-2核醣體 1 1-1-3信使核糖核酸 2 1-1-4轉譯步驟與調控 3 1-1-5轉譯調控重要性 4 1-2核糖核酸測序法 5 1-2-1實驗原理 5 1-2-2資料分析 6 1-2-3挑戰 7 1-3核醣體定位技術 7 1-4大腸息肉及癌症 8 1-4-1息肉與型態 8 1-4-2大腸癌 10 1-5研究動機與目標 11 第二章 資料蒐集與分析流程參考資料 13 2-1序列比對之參考資料的建構 13 2-1-1轉錄組參考資料 13 2-1-2基因組參考資料 14 2-1-3核糖體RNA序列參考資料 14 2-2檢體處理 14 2-3核醣體定位技術文庫製備方式 15 2-4主成分分析 16 2-5階層式分群法 16 2-6分析流程使用軟體及平台 17 第三章 分析流程與資料分析 18 3-1確認定序序列品質 18 3-2去除linker序列與長度篩選 18 3-3序列比對與計算表現量 20 3-4分析結果檔與內容 24 3-5轉錄與轉譯層次差異分析 24 3-6息肉亞型分析 26 3-6-1各亞型相似度 26 3-6-2各亞型差異表現基因分析 26 第四章 總結與討論 29 4-1總結 29 4-2討論 29 4-3未來展望 31 參考文獻 33 表 42 圖 51 附錄 i

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