簡易檢索 / 詳目顯示

研究生: 黃建霖
論文名稱: 果蠅基因交互作用之視覺化與網絡分析平台建置
Construction of an Online Network Visualization and Analytic Platform for Fly Gene Interactions
指導教授: 唐傳義
廖崇碩
口試委員: 盧錦隆
林俊淵
學位類別: 碩士
Master
系所名稱: 工學院 - 工業工程與工程管理學系
Department of Industrial Engineering and Engineering Management
論文出版年: 2012
畢業學年度: 100
語文別: 中文
論文頁數: 59
中文關鍵詞: 基因交互作用蛋白質交互作用視覺化網路長期記憶果蠅
外文關鍵詞: Gene-gene interaction, protein-protein interaction, network visualization, long-term memory, Fly
相關次數: 點閱:1下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 果蠅許多行為模式與人類非常相似,有超過六成的人類疾病基因,在果蠅中存在同源基因,因此果蠅是許多研究中常用的模式生物。許多系統層級的研究,例如生化合成機轉與記憶系統分析,則仰賴基因間交互作用資訊。近十年來,網路上的生物交互作用資料庫與工具不斷的發展,資料庫和工具的資料特性和操作介面各自不同,加深了學習與使用的門檻。為了降低資料庫整合的複雜性與簡化操作介面,我們以果蠅為模式生物建置了一個網路工具平台:PCmap (Post-genomic connectivity map viewer),整合相關的基因相互作用資訊。PCmap提供了易於擴展及操作的圖形化網路介面,整合了分散於不同資料庫的果蠅基因交互作用資料,包括蛋白質交互作用、蛋白質-RNA的交互作用以及Pathway等資訊,這些資料能輔助生物學家對果蠅相關實驗的結果進行分析。PCmap也是目前第一個有路徑搜尋、規劃功能以及基因網絡邏輯運算功能的整合型資料庫。針對分析結果也提供用戶輸出基因名單,並產生整合性的報告頁面,呈現位於不同資料庫和工具的資料頁面供使用者參考。經由生物實驗找出來的少量關鍵基因可透過PCmap尋找相連的基因組,並利用PCmap提供的分析、過濾工具,對基因名單進行分析及篩選,快速且有效的聚焦於有研究價值的基因名單進行後續分析。PCmap可以於(http://pcmap.life.nthu.edu.tw)免費使用。


    A number of the behaviors of the fly are similar to those of humans. More than 60% of human disease homologous genes have been found within fly. Therefore, the fly can be considered a proper model organism for numerous systematic research fields, such as studies of biochemical synthesis and memory formatting mechanisms. To study the large scale systematic problems, strategies based on gene-gene interaction become a feasible solution. For this reason, more and more databases and tools for biological interactions have been developed in the last decade. However, highly data type inconsistence and user interface diversities are commonly found in those tools.
    In order to increase the usability and integrate those of inconsistent data, we developed PCmap (Post-genomic connectivity map viewer) by using fly as the model organism. PCmap provides an easy-to-use graphic user interface and a comprehensive querying system from different data sources including protein-protein/protein-RNA interaction datasets and metabolic pathway databases which can assist systematic studies of fly. Moreover, PCmap is the first integrated database which provides fully functionalities of path finder of interaction network and logical operations of different maps. With the help of PCmap’s information retrieval modules, researchers can enlarge their research gene sets based on a few core genes discovered by wet-lab experiments.
    We believe that PCmap is not only the visualization tool but a network analyzer which can provide powerful applications to wet-lab researches. PCmap is now freely available on (http://pcmap.life.nthu.edu.tw).

    摘要 I ABSTRACT II 誌謝 III 目錄 IV 圖目錄 V 表目錄 VII 一、導論 1 1.1 研究背景 1 1.2 研究動機與目的 14 二、研究結果 26 2.1 介面與功能 26 2.2 案例 36 三、材料與方法 44 四、討論與建議 48 五、參考文獻 53 附錄 56

    1. Bailey CH, Bartsch D, Kandel ER: Toward a molecular definition of long-term memory storage. Proceedings of the National Academy of Sciences of the United States of America 1996, 93(24):13445-13452.
    2. Sutton MA, Schuman EM: Dendritic protein synthesis, synaptic plasticity, and memory. Cell 2006, 127(1):49-58.
    3. Martinez JL, Jr., Derrick BE: Long-term potentiation and learning. Annual review of psychology 1996, 47:173-203.
    4. Kandel ER: The molecular biology of memory storage: a dialogue between genes and synapses. Science 2001, 294(5544):1030-1038.
    5. Chen CC, Wu JK, Lin HW, Pai TP, Fu TF, Wu CL, Tully T, Chiang AS: Visualizing long-term memory formation in two neurons of the Drosophila brain. Science 2012, 335(6069):678-685.
    6. Wolf R, Wittig T, Liu L, Wustmann G, Eyding D, Heisenberg M: Drosophila mushroom bodies are dispensable for visual, tactile, and motor learning. Learn Mem 1998, 5(1-2):166-178.
    7. Letsou A, Bohmann D: Small flies--big discoveries: nearly a century of Drosophila genetics and development. Developmental dynamics : an official publication of the American Association of Anatomists 2005, 232(3):526-528.
    8. Bernards A, Hariharan IK: Of flies and men--studying human disease in Drosophila. Current opinion in genetics & development 2001, 11(3):274-278.
    9. Manev H, Dimitrijevic N: Fruit flies for anti-pain drug discovery. Life sciences 2005, 76(21):2403-2407.
    10. Gelperin A: Flies, genes, and memory engineering. The Biological bulletin 1996, 191(1):139-143.
    11. Waddell S, Quinn WG: Flies, genes, and learning. Annual review of neuroscience 2001, 24:1283-1309.
    12. De Las Rivas J, Fontanillo C: Protein-protein interactions essentials: key concepts to building and analyzing interactome networks. PLoS computational biology 2010, 6(6):e1000807.
    13. Jones S, Daley DT, Luscombe NM, Berman HM, Thornton JM: Protein-RNA interactions: a structural analysis. Nucleic acids research 2001, 29(4):943-954.
    14. Mann M, Jensen ON: Proteomic analysis of post-translational modifications. Nature biotechnology 2003, 21(3):255-261.
    15. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT et al: Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nature genetics 2000, 25(1):25-29.
    16. Wixon J, Kell D: The Kyoto encyclopedia of genes and genomes--KEGG. Yeast 2000, 17(1):48-55.
    17. McQuilton P, St Pierre SE, Thurmond J: FlyBase 101--the basics of navigating FlyBase. Nucleic acids research 2012, 40(Database issue):D706-714.
    18. Murali T, Pacifico S, Yu J, Guest S, Roberts GG, 3rd, Finley RL, Jr.: DroID 2011: a comprehensive, integrated resource for protein, transcription factor, RNA and gene interactions for Drosophila. Nucleic acids research 2011, 39(Database issue):D736-743.
    19. Szklarczyk D, Franceschini A, Kuhn M, Simonovic M, Roth A, Minguez P, Doerks T, Stark M, Muller J, Bork P et al: The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored. Nucleic acids research 2011, 39(Database issue):D561-568.
    20. Lewis BP, Burge CB, Bartel DP: Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell 2005, 120(1):15-20.
    21. Lee TY, Huang HD, Hung JH, Huang HY, Yang YS, Wang TH: dbPTM: an information repository of protein post-translational modification. Nucleic acids research 2006, 34(Database issue):D622-627.
    22. Yu CS, Chen YC, Lu CH, Hwang JK: Prediction of protein subcellular localization. Proteins 2006, 64(3):643-651.
    23. Patil A, Nakai K, Nakamura H: HitPredict: a database of quality assessed protein-protein interactions in nine species. Nucleic acids research 2011, 39(Database issue):D744-749.
    24. Warde-Farley D, Donaldson SL, Comes O, Zuberi K, Badrawi R, Chao P, Franz M, Grouios C, Kazi F, Lopes CT et al: The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function. Nucleic acids research 2010, 38(Web Server issue):W214-220.
    25. Mosca E, Alfieri R, Merelli I, Viti F, Calabria A, Milanesi L: A multilevel data integration resource for breast cancer study. BMC systems biology 2010, 4:76.
    26. Chaurasia G, Malhotra S, Russ J, Schnoegl S, Hanig C, Wanker EE, Futschik ME: UniHI 4: new tools for query, analysis and visualization of the human protein-protein interactome. Nucleic acids research 2009, 37(Database issue):D657-660.
    27. Dubnau J, Chiang AS, Grady L, Barditch J, Gossweiler S, McNeil J, Smith P, Buldoc F, Scott R, Certa U et al: The staufen/pumilio pathway is involved in Drosophila long-term memory. Current biology : CB 2003, 13(4):286-296.

    無法下載圖示 全文公開日期 本全文未授權公開 (校內網路)
    全文公開日期 本全文未授權公開 (校外網路)
    全文公開日期 本全文未授權公開 (國家圖書館:臺灣博碩士論文系統)
    QR CODE