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  1. NTU Theses and Dissertations Repository
  2. 生物資源暨農學院
  3. 生物機電工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/18898
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor陳林祈(Lin-Chi Chen)
dc.contributor.authorSiou-Wei Huen
dc.contributor.author胡修瑋zh_TW
dc.date.accessioned2021-06-08T01:38:48Z-
dc.date.copyright2016-09-08
dc.date.issued2016
dc.date.submitted2016-08-26
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/18898-
dc.description.abstractSTAT3 (Signal Transducers and Activators of Transcription 3, 訊息傳導及轉錄激活蛋白3) 為細胞中重要的轉錄因子蛋白,當STAT3受到細胞外的訊息分子刺激時,位於細胞質的STAT3會磷酸化以及二聚體化,接著轉位至細胞核後,DNA binding結構域會和目標基因的啟動子上的特定序列鍵結,而轉錄活化該目標基因的表現。STAT3異常的持續活化和許多腫瘤形成有關,因此調控STAT3在癌細胞中的表現具有重要的研究價值。在許多調控方法當中,STAT 3-圈套寡核苷酸 (STAT3-decoy oligonucleotide, STAT3-dODN) 為一段模擬目標基因的啟動子上的特定序列,能與STAT3之DNA binding結構域鍵結,進而抑制STAT3下游基因表現。
本研究的實驗中針對STAT家族的六種蛋白質同時進行篩選,發現此方法適合用於判斷哪種蛋白質會在同時篩選中附著最多的DNA,但是可能並不適合針對每一種STAT蛋白質篩選出對其專一性的DNA序列,此外STAT1蛋白質也許並不適合作為STAT3目標蛋白的反向篩選蛋白質。
在本研究中,將以已知的圈套寡核苷酸候選序列作為篩選的資料庫 (library pool),STAT3作為目標蛋白,透過系統性配位子指數增益演繹技術 (Systematic Evolution of Ligands by Exponential enrichment, SELEX) 篩選出與STAT3有高度專一性與親合力的適體,並且以ELONA (ELISA-mimic enzyme linked oligonucleotide assay) 驗證篩選獲得的適體之專一性與親合力,透過MTT細胞存活率試驗探討篩選得到的序列對於細胞的影響。在本研究中,找到了具有對STAT3高度親合力的適體序列dODN-18與dODN-20,與過去研究的dODN-pi相比有更高的親合力,同時它們也對細胞的存活率有初步的影響。
zh_TW
dc.description.abstractSignal transducer and activator of transcription 3 (STAT3) is an important transcription factor in the cell. Abnormal activation of STAT3 has been proven to be a factor leading to cancer cell and regulate cell proliferation, differentiation, apoptosis, immune and inflammatory responses. Since over-activated STAT3 is often found in malignant tumor, it has the strong potential to be a biomarker. STAT3-decoy oligonucleotide (STAT3-dODN) is a specific sequence which is simulate to promoter of target gene. It has ability binding to STAT3 DNA binding domain, and also inhibits the gene expression.
Aptamers, stable single-stranded nucleotides, which have high binding affinity and specificity to target, are selected through Systematic Evolution of Ligands by Exponential enrichment (SELEX).
In the study, it shows that it may not be suitable for simultaneous screening of six STAT proteins. In addition, STAT proteins may be not suitable for being each other counter selection protein.
In the present study, we demonstrated micro-bead SELEX with different library pool named as N40 and dODN pool. The result showed that we get candidate aptamers in early round of selection (<5). From the ELONA experiment, we get two aptamers named dODN-18 and dODN-20 which have higher affinity to STAT3 protein then dODN-pi. With MTT assay, we also realize the influence of dODN-18 and dODN-20 to cells that it may cause the cell death. Therefore, there are several applications for diagnosis and treatment in the future.
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Previous issue date: 2016
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dc.description.tableofcontents目     錄
=================
誌謝………………………………………………………………………………………….. i
中文摘要……………………………………………………………………………………. ii
Abstract……………………………………………………………………………………… iii
目錄………………………………………………………………………………………….. iv
圖目錄………………………………………………………………………………………. vi
表目錄………………………………………………………………………………………. viii
第一章 前言…………………………………………………………………………….. 1
1.1 研究背景……………………………………………………………………. 1
1.2 研究動機……………………………………………………………………. 3
1.3 研究目的……………………………………………………………………. 4
1.4 研究架構……………………………………………………………………. 5
第二章 文獻探討……………………………………………………………………… 7
2.1 STAT3與癌症……………………………………………………………… 7
2.2 圈套寡核苷酸……………………………………………………………… 11
2.3 適體與SELEX………………………………………………………………. 17
第三章 實驗設備與方法……………………………………………………………. 20
3.1 實驗儀器與設備………………………………………………………….. 20
3.2 實驗藥品………………………………………………………………………………. 22
3.3 篩選適體使用序列……………………………………………………….. 24
3.4 緩衝溶液配製……………………………………………………………… 25
3.5 蛋白質固定化……………………………………………………………... 26
3.6 篩選步驟……………………………………………………………………. 27
3.7 基因重組……………………………………………………………………. 29
3.8 定序和序列排序………………………………………………………….. 32
3.9 ELONA……………………………………………………………………… 33
3.10 MTT 細胞存活率試驗………………………………………………… 35
3.11 圓二色光譜分析預測適體結構………………………………………. 36
3.12 mfold 分析圈套寡核苷酸構形……………………………………… 36
第四章 結果與討論…………………………………………………………………… 37
4.1 多蛋白質單珠篩選……………………………………………………….. 37
4.2 使用STAT1作為反向篩選蛋白質的可行性………………………. 41
4.3 篩選演化過程 (N40 library pool) …………………………………… 47
4.4 電泳結果分析 (N40 library pool) …………………………………… 52
4.5 篩選演化過程 (dODN library pool)………………………………... 54
4.6 定序結果和序列排序……………………………………………………. 58
4.7 ELONA試驗結果分析…………………………………………………… 67
4.8 MTT細胞存活率試驗結果分析………………………………………. 79
4.9 CD測量與mfold預測結構……………………………………………… 83
第五章 結論…………………………………………………………………………….. 88
第六章 參考文獻………………………………………………………………………. 90


圖目錄
圖 2-1 STAT3之結構域及功能…………………………………………………………….. 7
圖 2-2 STAT3活化之路徑圖………………………………………………………………… 8
圖 2-3 STAT1與STAT3之3D結構比較以及DNA結合區域……………………… 13
圖 2-4 hpdODN-A及其他hpdODN經過設計鹼基的序列…………………………. 13
圖 2-5 hpdODN之mfold預測之構形…………………………………………………….. 16
圖 3-1 SELEX流程示意圖…………………………………………………………………… 27
圖 3-2 ELONA示意圖………………………………………………………................... 34
圖 4-1 多蛋白質單珠篩選qPCR每一回篩選螢光訊號圖…………………………. 39
圖 4-2 STAT1作為反向篩選蛋白質qPCR每一回篩選螢光訊號圖……………. 42
圖 4-3 HSA作為反向篩選蛋白質qPCR每一回篩選螢光訊號圖………………. 45
圖 4-4 N40 library pool qPCR每一循環篩選螢光訊號圖……………................ 47
圖 4-5 電泳分析圖……………………………………………………………………………… 50
圖 4-6 N40 pool每一循環篩選後STAT3和HSA上附著之DNA濃度比……… 51
圖 4-7 SELEX每一循環所得的電泳圖………………………………………………….. 52
圖 4-8 電泳圖中STAT3和HSA以ImageJ分析亮度訊號平均值……………….. 53
圖 4-9 電泳圖中STAT3和HSA以ImageJ分析亮度訊號平均值的比值………. 53
圖4-10 dODN library pool qPCR每一回篩選螢光訊號圖………………………….. 54
圖4-11 dODN pool每一回合篩選後STAT3和HSA上附著之DNA濃度比…… 57
圖4-12 N40 library 篩選出的序列與STAT3結合情形之ELONA試驗………… 67
圖4-13 dODN 序列與STAT3,STAT1,HSA結合情形之ELONA試驗………….. 70
圖4-14 有引子的dODN-18與STAT3,STAT1,thrombin,HAS之ELONA試驗… 72
圖4-15 有引子的dODN-20與STAT3,STAT1,thrombin,HSA之ELONA試驗… 72
圖4-16 無引子的dODN-18與STAT3,STAT1,thrombin,HSA之ELONA試驗… 74
圖4-17 無引子的dODN-20與STAT3,STAT1,thrombin,HSA之ELONA試驗… 74
圖4-18 dODN-pi與STAT3,STAT1,thrombin,HSA結合之ELONA試驗………….. 76
圖4-19 dODN-E與STAT3,STAT1,thrombin,HSA結合之ELONA試驗…………… 76
圖4-20 有引子的dODN-18,dODN-20與無引子的dODN-18,dODN-20和
dODN-pi,dODN-E與STAT3,STAT1,thrombin,HSA之ELONA試驗…… 78
圖4-21 dODN 序列送入MCF-7細胞之MTT試驗存活率圖……………………… 79
圖4-22 dODN序列送入MCF-7細胞不同反應時間之MTT試驗存活率圖…… 80
圖4-23 不同濃度的dODN序列送入MCF-7細胞之MTT試驗存活率圖……… 81
圖4-24 不同的dODN序列有無引子送入MCF-7細胞之MTT試驗存活率圖 82
圖4-25 比較dODN-pi以及有無引子之試體之CD光譜…………………………….. 83
圖4-26 dODN-18, dODN-20有無引子和hpdODN之mofold構形預測………… 85

表目錄
表2-1 STAT3活化與惡性腫瘤之關係…………………………………………………… 9
表2-2 STAT3-dODN序列……………………………………………………………………. 14
表3-1 本研究所使用之儀器、設備規格列表………………………………………….. 20
表3-2 本研究所使用之藥品規格列表…………………………………………………… 22
表3-3 本研究所使用的N40 library pool和primer…………………………………… 24
表3-4 本研究所使用的dODN library pool和primer……………………………….. 24
表4-1 N40 library pool定序結果和其自由能…………………………………………. 58
表4-2 dODN library pool定序結果和其自由能……………………………………… 62
表4-3 N40 library pool序列排序結果…………………………………………………… 65
表4-4 本實驗篩選獲得的序列以及hpdODN序列………………………………….. 84
表4-5 本實驗篩選獲得的序列以及hpdODN序列之鹼基比對………………….. 87
dc.language.isozh-TW
dc.title專一性STAT3適體與圈套寡核苷酸之篩選與驗證zh_TW
dc.titleSelection and Verification of STAT3-specific Aptamers
and Decoy Oligonucleotides
en
dc.typeThesis
dc.date.schoolyear104-2
dc.description.degree碩士
dc.contributor.oralexamcommittee侯詠德(Yung-Te Hou),陳世芳(Shih-Fang Chen),徐駿森(Chun-Hua Hsu)
dc.subject.keyword訊息傳導及轉錄激活蛋白3,圈套寡核?酸,適體,系統性配位子指數增益演繹技術,zh_TW
dc.subject.keywordSignal Transducers and Activators of Transcription 3 (STAT3),decoy oligonucleotide (dODN),aptamer,Systematic Evolution of Ligands by Exponential enrichment (SELEX),en
dc.relation.page97
dc.identifier.doi10.6342/NTU201603398
dc.rights.note未授權
dc.date.accepted2016-08-26
dc.contributor.author-college生物資源暨農學院zh_TW
dc.contributor.author-dept生物產業機電工程學研究所zh_TW
顯示於系所單位:生物機電工程學系

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