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研究生: 史哲維
Che-Wei Shih
論文名稱: 脊髓小腦運動失調症第十七型:微生物模型之藥物篩選
Screening of novel molecules for SCA 17 treatment by using a microbial model
指導教授: 李冠群
Lee, Guan-Chiun
學位類別: 碩士
Master
系所名稱: 生命科學系
Department of Life Science
論文出版年: 2009
畢業學年度: 97
語文別: 中文
論文頁數: 93
中文關鍵詞: 第十七型脊髓小腦萎縮症β半乳糖苷酶α互補作用藥物篩選
英文關鍵詞: SCA17, β gal, α complementation, drug screening
論文種類: 學術論文
相關次數: 點閱:90下載:7
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  • 摘要

    目前已知道有十種遺傳性神經退化疾病為多麩醯胺 (polygluta-
    mine, poly-Q)相關的疾病,其中第十七型脊髓小腦萎縮症 (SCA 17),起因於染色體6q27位置上的TBP基因之轉譯區中,發生CAG三核苷酸重複擴增所導致。因此SCA17的可能分子致病機制為:突變的TBP蛋白質上具有延長的poly-Q片段,導致蛋白質結構錯誤摺疊及聚集,最後形成不溶性的包涵體,因而造成細胞死亡。已知在活體 (in vivo)和試管內 (in vitro)實驗中也可以發現,抑制錯誤延長性poly-Q片段的蛋白聚集,可以抑制poly-Q相關疾病的產生。本研究建立TBP-Lac Zα 融合蛋白於大腸桿菌中的表達系統,藉由β半乳糖苷酶之α互補作用,建構出微生物快速藥物篩選系統,以期加速相關藥物的開發。質體建構方面,是以pGEX 質體為基礎建構數種蛋白表達質體,包括帶有不同延長poly-Q的pGEX-TBP-lac Zα以及pGEX-Lac Zα重組質體。蛋白表達方面,將相關質體轉型至數種大腸桿菌 (E. coli),以藍白篩選的方式,找出合適的菌種與表達條件,用以表達可溶性的短延長TBP蛋白 (培養液呈藍色)、及不可溶性長延長TBP蛋白 (培養液呈白色)。利用表現型分析、基因型分析、蛋白質電泳、西方轉漬分析以及β半乳糖苷酶活性分析,確立藥物篩選系統的可行性並驗證之。結果發現JM109大腸桿菌表達系統符合篩藥條件 (即pGEX-Lac Zα呈藍色、pGEX-fTBP40Q-Lac Zα呈白色),故pGEX-fTBP40Q-Lac Zα/JM109可以作為篩藥模式。藥物篩選方面,目前以具有潛力之藥物 (例如海藻糖與剛果紅)做測試,結果發現這兩種藥物似乎無法抑制不可溶性長延長TBP蛋白凝集。本篇論文提供一種可以大量快速進行SCA17藥物篩檢的微生物模式,新穎的合成藥物仍在持續篩檢中,以找出有效抑制不可溶性長延長TBP蛋白凝集之藥物以供細胞及動物模式做進一步的藥物測試。

    Abstract

    Many neurodegenerative diseases are linked to abnormally expanded CAG repeats in the coding regions of responsible genes. One of them, spinocerebellar ataxia type 17 (SCA 17) was identified with CAG trinucleotide repeat expansion in the TATA-box binding protein (TBP) gene on chromosome 6q27. The possible molecular pathogenic mechanisms of SCA17 could be aggregation caused by mutant TBP with expanded polyglutamine strentches and dysfuction of transcriptional regulation by loss of function. Although the detail pathogenic mechanism is unknown in poly-Q disease, inhibition of aggregation is effective to protect cell in vitro and in vivo. In this study, an E. coli. expression system was established to express the TBP-Lac Zα fusion proteins. By structural α complementation of β Galactosidase (β Gal), we anticipate this system could be a bacterium-based model for rapid drug screening to inhibit protein aggregation. In plasmid construction, we used pGEX plasmid to construct several protein expression vectors including those harboring TBP-Lac Zα fusion genes with various length of polyQ tract and pGEX-Lac Zα. In protein expression, several E. coli. strains were tested to express these recombinant proteins by blue-white screening, and expression conditions were obtained to express soluble short poly-Q TBP as blue color culture, and aggregated long poly-Q TBP as white color culture. We validated this drug screening system by phenotypic screening, genotyping, SDS-PAGE, Western blotting and β gal activity assay. The result showed that JM109 E. coli. expression system can express pGEX-Lac Zα as blue color culture and pGEX-fTBP40Q-Lac Zα as white color culture. We used pGEX-fTBP40Q-Lac Zα/JM109 as drug screening model. In drug screening, several candidate drugs capable of inhibiting poly-Q protein aggregation (such as trehalose and congo red) were tested to prevent TBP aggregation. The results show that trehalose and congo red can not inhibit long poly-Q TBP aggregation by blue-white screening. This study could provide a high-throughput microbial drug screening system.

    目錄 目錄……………………………………………………………………Ι 表目錄…………………………………………………………………Ⅳ 圖目錄…………………………………………………………………Ⅳ 摘要……………………………………………………………………Ⅵ Abstract……………………………………………………………Ⅷ 壹、緒論(Introduction)…………………………………………1 一、脊髓小腦運動失調症 (SCA) …………………………………1 二、藥物開發及藥物篩檢模式………………………………………3 三、β半乳糖苷酶的結構互補性應用………………………………4 貳、研究目的…………………………………………………………7 參、研究材料與方法(Material and Method)…………………8 一、人類全長TBP(fTBP)之cDNA的取得……………………………8 二、重組質體之建構…………………………………………………8 (一)pGEX-fTBP-20Q-lac Zα、pGEX-fTBP-40Q-lac Zα重組質體…8 (二)pGEX-fTBP-74Q-lac Zα、pGEX-tTBP-135Q-lac Zα重組質體…………………………………………………………………………11 (三)pGEX-fTBP-109Q-lac Zα重組質體……………………………12 (四)pGEX-lac Zα重組質體……………………………………………13 三、質體轉型、DNA電泳分析及定序……………………………………13 (一)大腸桿菌勝任細胞之製備……………………………………………14 (二)細菌之轉型作用-熱休克……………………………………………15 (三)DNA電泳分析…………………………………………………………15 (四)DNA定序………………………………………………………………15 四、DNA製備與純化………………………………………………………16 (一)質體DNA小量製備……………………………………………………16 (二)純化DNA片段…………………………………………………………17 五、各重組質體於細菌內的表現…………………………………………17 (一)表現型分析:藍白篩選………………………………………………18 (二)各重組質體於轉型菌株內的鑑定 — 基因型分析…………………24 (三)蛋白質電泳與西方轉漬分析…………………………………………24 (四)β半乳糖苷酶活性分析………………………………………………30 六、藥物篩選………………………………………………………………32 (一)表現型分析:藍白篩選………………………………………………32 (二)各重組質體於轉型菌株內的鑑定 — 基因型分析…………………33 (三)蛋白質電泳與西方轉漬分析…………………………………………33 (四)β半乳糖苷酶活性分析………………………………………………34 肆、結果(Result)………………………………………………………35 一、定序完成之重組質體限制酶圖譜分析……………………………35 二、各重組質體於細菌內的表現情形…………………………………36 (一)表現型分析:藍白篩選……………………………………………36 (二)各重組質體於轉型菌株內的鑑定 — 基因型分析………………41 (三)蛋白質電泳與西方轉漬分析………………………………………41 (四)β半乳糖苷酶活性分析……………………………………………42 (五)高濃度IPTG干擾藍白篩選結果…………………………………43 (六)微生物模型挑選結果……………………………………………44 三、藥物篩選…………………………………………………………44 (一)表現型分析:藍白篩選…………………………………………44 (二)各重組質體於轉型菌株內的鑑定 — 基因型分析……………45 (三)蛋白質電泳與西方轉漬分析……………………………………45 (四)β半乳糖苷酶活性分析…………………………………………46 伍、討論(Discussion)……………………………………………47 一、各種培養方式之比較……………………………………………47 二、高濃度IPTG干擾藍白篩選結果…………………………………48 三、有氧與無氧對蛋白表達的差異…………………………………49 四、不同重組質體於JM109中蛋白表達情形(西方轉渍分析)與呈色表現型之間的關係…………………………………………………………………49 五、大腸桿菌與藥物通透性…………………………………………51 六、 pUC 18與pGEX-lac Zα蛋白表現的差異……………………51 陸、參考文獻(References)………………………………………………52 表目錄 表一、錐形瓶震盪培養之藍白呈色情形………………………………55 表二、改良式96孔深盤養菌盒震盪培養之藍白呈色情形……………56 圖目錄 圖一、pGEX-GST-fTBP20/40Q之重組質體…………………………57 圖二、pGEX-fTBP/tTBP-lac Zα與pGEX-lac Zα重組質體………58 圖三、各重組質體之限制酶圖譜分析 (Not I、EcoR I)……………59 圖四、各重組質體之限制酶圖譜分析(Bpu10 I與Ade I、EcoR V與 EcoR I)……………………………………………………………………60 圖五、各重組質體於轉型菌株內的鑑定 — 基因型分析(JM109)。…61 圖六、再現性分析 (JM109)……………………………………………62 圖七、微量離心管震盪培養之表現型分析(JM109)……………………63 圖八、錐形瓶震盪培養之表現型分析(JM109)……………………………64 圖九、錐形瓶震盪培養之表現型分析(時間點觀測)(JM109)……………66 圖十、曝氣式96孔深盤養菌盒震盪培養(JM109、XL1-Blue)…………68 圖十一、曝氣式96孔深盤養菌盒震盪培養(Top 10、DH5α)…………69 圖十二、曝氣式96孔深盤養菌盒震盪培養(Rosetta blue、KRX)……70 圖十三、曝氣式96孔深盤養菌盒震盪培養之西方轉漬分析………………71 圖十四、JM109之β gal分析………………………………………………74 圖十五、高濃度IPTG干擾藍白篩選結果…………………………………75 圖十六、JM109之藥物篩選 (表現型分析- 海藻糖、剛果紅)…………76 圖十七、JM109之藥物篩選 (Western Blotting)………………………77 圖十八、JM109之藥物篩選 (β gal分析- 海藻糖)………………………78 圖十九、JM109之藥物篩選 (β gal分析- 剛果紅)………………………79 圖二十、JM109之藥物篩選 (表現型分析- Tween 80與海藻糖雙重處理)……………………………………………………………………………………80

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