Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  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/123456789/54128
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.authorWei-Chen Huangen
dc.contributor.author黃惟甄zh_TW
dc.date.accessioned2021-06-16T02:41:10Z-
dc.date.available2020-08-06
dc.date.copyright2020-08-06
dc.date.issued2020
dc.date.submitted2020-08-04
dc.identifier.citation1. Abdulhalim, I., Zourob, M., Lakhtakia, A. (2008). Surface Plasmon Resonance for Biosensing: A Mini-Review. Electromagnetics, 28(3), 214-242
2. Agrawal, B., Gupta, N., Konowalchuk, J. (2018). MUC1 Mucin: A Putative Regulatory (Checkpoint) Molecule of T Cells. Frontiers in Immunology, 9, 2391
3. Ali, M. H., Elsherbiny, M. E., Emara, M. (2019). Updates on Aptamer Research. Int J Mol Sci, 20(10), 2511
4. Aziz, M., AlOtaibi, M., Alabdulrahman, A., Aldrees, M., Alabdulkarim, I., Ma, A. (2014). Mucin Family Genes are Downregulated in Colorectal Cancer Patients. Journal of carcinogenesis and mutagenesis, S10
5. Baldus, S., Engelmann, K., Hanisch, F.-G. (2004). MUC1 and the MUCs: A Family of Human Mucins with Impact in Cancer Biology. Critical reviews in clinical laboratory sciences, 41, 189-231
6. Beckwith, D. M., Cudic, M. (2020). Tumor-associated O-glycans of MUC1: Carriers of the glyco-code and targets for cancer vaccine design. Seminars in Immunology, 47, 101389
7. Bruno, J. G. (1997). In VitroSelection of DNA to Chloroaromatics Using Magnetic Microbead-Based Affinity Separation and Fluorescence Detection. Biochemical and Biophysical Research Communications, 234(1), 117-120
8. Davis, K. A., Abrams, B., Lin, Y., Jayasena, S. D. (1996). Use of a High Affinity DNA Ligand in Flow Cytometry. Nucleic Acids Research, 24(4), 702-706
9. Ferreira, C., Matthews, C., Missailidis, S. J. T. b. (2006). DNA aptamers that bind to MUC1 tumour marker: design and characterization of MUC1-binding single-stranded DNA aptamers. 27(6), 289-301
10. Ferreira, C. S. M., Cheung, M. C., Missailidis, S., Bisland, S., Gariépy, J. (2009). Phototoxic aptamers selectively enter and kill epithelial cancer cells. Nucleic Acids Res, 37(3), 866-876
11. Gendler, S. J., Spicer, A. P. (1995). Epithelial Mucin Genes. Annual Review of Physiology, 57(1), 607-634
12. Hollingsworth, M. A., Swanson, B. J. (2004). Mucins in cancer: protection and control of the cell surface. Nature Reviews Cancer, 4(1), 45-60
13. Hoon, S., Zhou, B., Janda, K. D., Brenner, S., Scolnick, J. (2011). Aptamer selection by high-throughput sequencing and informatic analysis. BioTechniques, 51(6), 413-416
14. Horm, T. M., Schroeder, J. A. (2013). MUC1 and metastatic cancer: expression, function and therapeutic targeting. Cell Adh Migr, 7(2), 187-198
15. Hu, Y., Duan, J., Zhan, Q., Wang, F., Lu, X., Yang, X.-D. (2012). Novel MUC1 aptamer selectively delivers cytotoxic agent to cancer cells in vitro. PLoS One, 7(2), e31970-e31970
16. Lakhin, A. V., Tarantul, V. Z., Gening, L. V. (2013). Aptamers: problems, solutions and prospects. Acta Naturae, 5(4), 34-43
17. Lancaster, C. A., Peat, N., Duhig, T., Wilson, D., Taylor-Papadimitriou, J., Gendler, S. J. (1990). Structure and expression of the human polymorphic epithelial mucin gene: an expressed VNTR unit. Biochemical and Biophysical Research Communications, 173(3), 1019-1029
18. Mendonsa, S., Bowser, M. (2004). In Vitro Evolution of Functional DNA Using Capillary Electrophoresis. Journal of the American Chemical Society, 126, 20-21
19. Missailidis, S., Thomaidou, D., Borbas, K. E., Price, M. R. J. J. o. i. m. (2005). Selection of aptamers with high affinity and high specificity against C595, an anti-MUC1 IgG3 monoclonal antibody, for antibody targeting. 296(1-2), 45-62
20. Nath, S., Mukherjee, P. (2014). MUC1: a multifaceted oncoprotein with a key role in cancer progression. Trends Mol Med, 20(6), 332-342
21. Raddatz, M.-S. L., Dolf, A., Endl, E., Knolle, P., Famulok, M., Mayer, G. (2008). Enrichment of Cell-Targeting and Population-Specific Aptamers by Fluorescence-Activated Cell Sorting. Angewandte Chemie International Edition, 47(28), 5190-5193
22. Radi, A.-E. (2011). Electrochemical Aptamer-Based Biosensors: Recent Advances and Perspectives. International Journal of Electrochemistry, 2011, 863196
23. Rakha, E. A., Boyce, R. W. G., Abd El-Rehim, D., Kurien, T., Green, A. R., Paish, E. C., . . . Ellis, I. O. (2005). Expression of mucins (MUC1, MUC2, MUC3, MUC4, MUC5AC and MUC6) and their prognostic significance in human breast cancer. Modern Pathology, 18(10), 1295-1304
24. Shen, M.-C., Lai, J.-C., Hong, C.-Y., Wang, G.-J. (2017). Electrochemical aptasensor for detecting Der p2 allergen using polycarbonate-based double-generation gold nanoparticle chip. Sensing and Bio-Sensing Research, 13, 75-80
25. Singh, R., Bandyopadhyay, D. (2007). MUC1: A target molecule for cancer therapy. Cancer biology therapy, 6, 481-486
26. Soares, M., Finn, O. J. (2001). MUC1 mucin as a target for immunotherapy of cancer: Muc1 based immunotherapeutic strategies. In R. A. Robins R. C. Rees (Eds.), Cancer Immunology (pp. 101-122). Dordrecht: Springer Netherlands.
27. Sudhakar, A. J. J. o. c. s., therapy. (2009). History of cancer, ancient and modern treatment methods. 1(2), 1
28. Tok, J. B. H., Fischer, N. O. (2008). Single microbead SELEX for efficient ssDNA aptamer generation against botulinum neurotoxin. Chem Commun (Camb)(16), 1883-1885
29. Treon, S. P., Maimonis, P., Bua, D., Young, G., Raje, N., Mollick, J., . . . Anderson, K. C. (2000). Elevated soluble MUC1 levels and decreased anti-MUC1 antibody levels in patients with multiple myeloma. Blood, 96(9), 3147-3153
30. Vant-Hull, B., Payano-Baez, A., Davis, R. H., Gold, L. (1998). The mathematics of SELEX against complex targets11Edited by F. Cohen. Journal of Molecular Biology, 278(3), 579-597
31. Win, M. N., Klein, J. S., Smolke, C. D. (2006). Codeine-binding RNA aptamers and rapid determination of their binding constants using a direct coupling surface plasmon resonance assay. Nucleic Acids Research, 34(19), 5670-5682
32. Yang, D.-K., Chen, L.-C., Lee, M.-Y., Hsu, C.-H., Chen, C.-S. (2014). Selection of aptamers for fluorescent detection of alpha-methylacyl-CoA racemase by single-bead SELEX. Biosensors and Bioelectronics, 62, 106-112
33. Zhou, J., Rossi, J. (2017). Aptamers as targeted therapeutics: current potential and challenges. Nat Rev Drug Discov, 16(3), 181-202
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/54128-
dc.description.abstract黏蛋白-1 (mucin-1,簡稱MUC1)是一種在多數腺癌細胞表面上過表現的穿膜醣蛋白,可作為一癌症指標,不論在診斷或治療上皆具有重要意義。由於目前仍未有以MUC1部分開放閱讀框 (ORF)之序列 (315 a.a. - 420 a.a.) 為目標的適體。根據其未來之應用性,本研究欲篩選一可適用於生物感測的適體,在修飾之下仍可與MUC1結合。因此,本研究將以此序列片段作為目標,進行MUC1之適體篩選。篩選利用的方法為系統性配位子指數增益演繹技術,以單顆玻璃珠作為反應基材,人類血清白蛋白作為反向篩選的目標,藉由多回合的擇選與擴增,得到與MUC1具親和性與選擇性的特定單股 DNA群;並以MEME分析軟體將其定序結果進行分析與挑選,最後利用表面電漿共振 (surface plasmon resonance,簡稱SPR) 之親和力測試,找出與MUC1親和力最高的序列,也就是DNA適體。篩選以演化樹來表示其序列演化的過程,其中包含K1、K2、K3三個分支。篩選過程中發現非專一性序列於序列群中的數量,可以作為演化過程中優勢序列的預測指標。根據SPR中每一個序列與MUC1反應的訊號及其組成,發現GC/AT比與序列之親和性具有中度相關 (r = 0.499)。本研究成功篩選出一個MUC1適體,研究中將其命名為K1R4.2,此適體不會因為加上修飾物而改變其結合能力,於含有Fe(CN)63-/4之條件下仍可與MUC1結合。此外,經由SPR動態分析得到適體K1R4.2與MUC1結合之kon¬ (1.33×10-4¬¬ sec-1nM-1)、koff¬ (7.05×10-3¬ sec-1)¬,並計算求得其解離常數 (KD¬) 為53.0 nM;且於穩態時根據不同濃度的適體K1R4.2結合於MUC1上的量,可計算得其KD值為55.1 nM。此適體與MUC1具有高親和力,且序列中GC含量高 (65.6%),表示其DNA密度及對熱與鹼的穩定性較高,根據這些特性優勢,未來可將其應用於適體感測器的開發,甚至是醫學上生物性治療的發展。zh_TW
dc.description.abstractMucin-1 (MUC1) is a transmembrane glycoprotein that is overexpressed on the surface of most adenocarcinoma cells, and it is served as a tumor marker. It is of great significance in both diagnosis and treatment. There is currently no aptamer selected targeting the MUC1 partial ORF (315 a.a. - 420 a.a.). It has MUC1 binding functionality after modification. According to its future application, this study intends to select a suitable aptamer for electrochemical sensing. Therefore, this sequence fragment is used as the target for MUC1 aptamer selection in this study. The selection method is called the systematic evolution of ligands by exponential enrichment (SELEX), with the use of single glass bead as the reaction substrate and human serum albumin as the target of reverse selection. Through multiple rounds of selection and amplification, a specific single-strand DNA pool with selectivity and affinity to MUC1 is obtained. For sequence analysis and selection, an analysis software MEME Suite is used. Finally, to find a sequence with the highest affinity to MUC1, which is the DNA aptamer, the affinity test was conducted by surface plasmon resonance (SPR). The evolution process of the sequences during the selection is shown by an evolution tree, which includes three branches, K1, K2, and K3. The number of non-specific sequences found in the pool during the selection can be used as a predictor of the dominant sequences during the evolution process. According to the SPR binding signal of the sequences to MUC1, and the composition of each sequence, it was found that the GC/AT ratio is moderately related to the affinity of the sequence (r = 0.499). In this study, a MUC1 aptamer was successfully found, which is named K1R4.2. This aptamer will not change its binding ability after modification, and it can also bind to MUC1 in the presence of Fe(CN)63-/4. Besides, the kon¬ (1.33×10-4¬¬ sec-1nM-1) and the koff¬ (7.05×10-3¬ sec-1) of aptamer K1R4.2 binding to MUC1 were obtained through SPR dynamic analysis, and the calculated KD is 53.0 nM. According to the amount of aptamer K1R4.2 bound to MUC1 at steady state, the obtained KD is 55.1 nM. This aptamer has a strong affinity to MUC1, and the GC content in the sequence is high (65.6%). This indicates that its DNA density and stability to heat and alkali are both high. Based on these characteristics and advantages, it can be applied to the development of aptasensors in the future, and even the progress of medical biological treatment.en
dc.description.provenanceMade available in DSpace on 2021-06-16T02:41:10Z (GMT). No. of bitstreams: 1
U0001-0308202022552000.pdf: 5145479 bytes, checksum: 58465adc3f7920ded4a939ef514b086e (MD5)
Previous issue date: 2020
en
dc.description.tableofcontents誌謝 i
摘要 ii
Abstract iii
目錄 v
圖目錄 viii
表目錄 x
符號說明 xi
第一章 緒論 1
1.1 研究背景 1
1.2 研究動機 2
1.3 研究目的 3
1.4 研究架構 4
第二章 文獻探討 5
2.1 MUC1對於癌症的重要性 5
2.1.1 MUC1簡介 5
2.1.2 MUC1與癌症的關係 6
2.1.3 MUC1作為癌症標誌 8
2.2 DNA適體與配體指數增強系統進化技術 9
2.2.1 DNA適體及其優勢 9
2.2.2 配體指數增強系統進化技術 10
2.2.3 MUC1適體篩選回顧 11
2.3 適體作為生物感測之感測元件 13
2.3.1適體感測器 13
2.3.2 電化學阻抗式適體感測器 13
第三章 研究方法 15
3.1 實驗器材與藥品 15
3.1.1 實驗器材 15
3.1.2 實驗藥品 16
3.1.3 適體篩選之使用序列 18
3.1.4 適體篩選使用之緩衝溶液 18
3.2 MUC1適體篩選 19
3.2.1 蛋白質固定化 19
3.2.2 適體篩選 20
3.2.3 即時聚合酶連鎖反應 21
3.2.4 DNA電泳 22
3.2.5 單股DNA分離 23
3.2.6 DNA定量曲線 23
3.2.7 SELEX演化樹 24
3.3 DNA適體定序 25
3.3.1 TA選殖 25
3.3.2 MEME Suite 28
3.4 生物分析實驗 29
3.4.1 酵素免疫寡核苷酸分析法 29
3.4.2 表面電漿共振 30
第四章 結果與討論 32
4.1 MUC1適體篩選 32
4.1.1 qPCR標準定量曲線 32
4.1.2 利用qPCR定量分析序列之演化 34
4.1.3 序列群優勢性之預測指標分析 41
4.1.4 TA選殖 44
4.2 DNA序列分析 46
4.2.1 利用MEME Suite分析DNA序列 46
4.2.2 SPR序列效能檢測 48
4.2.3 高親和力適體之比較探討 52
4.2.4 序列親和力與ΔG、GC比及Tm值之關係比較 53
4.3 適體K1R4.2之親和力分析 56
4.3.1 適體修飾及環境對親和力影響分析 56
4.3.2 適體K1R4.2之動態分析 58
第五章 結論與未來展望 62
5.1 結論 62
5.2 未來展望 63
參考文獻 64
附錄 67
A.1 適體序列表 67
A.2 MEME Suite軟體序列分析結果 86
A.3 MUC1適體與抗體之親和力比較 89
A.4 K2R4、K2R5、K3R4、K3R5中的序列及其於SPR親和力測試的結合訊號 92
A.5 由MEME Suite分析所得之候選序列及其於SPR親和力測試的結合訊號、預測之ΔG及Tm 93
A.6 SPR反應動力學分析 95
A.7 即時阻抗式適體感測 98
A.7.1 感測系統建立 98
A.7.1.1 電極製備 98
A.7.1.2 流道製作 98
A.7.1.3 系統裝置架設 99
A.7.2 感測之操作與流程 101
A.7.2.1 晶片前處理 101
A.7.2.2 適體固定 101
A.7.2.3 MCH Blocking 101
A.7.2.4 蛋白質量測 102
dc.language.isozh-TW
dc.subject黏蛋白-1zh_TW
dc.subject表面電漿共振zh_TW
dc.subject系統性配位子指數增益演繹技術zh_TW
dc.subject適體zh_TW
dc.subject系統性配位子指數增益演繹技術zh_TW
dc.subject黏蛋白-1zh_TW
dc.subject適體zh_TW
dc.subject表面電漿共振zh_TW
dc.subjectmucin-1 (MUC1)en
dc.subjectSurface Plasmon Resonance (SPR)en
dc.subjectaptameren
dc.subjectSurface Plasmon Resonance (SPR)en
dc.subjectSystematic Evolution of Ligands by Exponential Enrichment (SELEX)en
dc.subjectmucin-1 (MUC1)en
dc.subjectaptameren
dc.subjectSystematic Evolution of Ligands by Exponential Enrichment (SELEX)en
dc.title黏蛋白-1適體篩選與分析zh_TW
dc.titleMucin-1 Aptamer Selection and Analysisen
dc.typeThesis
dc.date.schoolyear108-2
dc.description.degree碩士
dc.contributor.oralexamcommittee徐駿森(Chun-Hua Hsu),莊旻傑(Min-Chieh Chuang),鄭宗記(Tzong-Jih Cheng)
dc.subject.keyword黏蛋白-1,系統性配位子指數增益演繹技術,適體,表面電漿共振,zh_TW
dc.subject.keywordmucin-1 (MUC1),Systematic Evolution of Ligands by Exponential Enrichment (SELEX),aptamer,Surface Plasmon Resonance (SPR),en
dc.relation.page102
dc.identifier.doi10.6342/NTU202002328
dc.rights.note有償授權
dc.date.accepted2020-08-05
dc.contributor.author-college生物資源暨農學院zh_TW
dc.contributor.author-dept生物機電工程學系zh_TW
顯示於系所單位:生物機電工程學系

文件中的檔案:
檔案 大小格式 
U0001-0308202022552000.pdf
  未授權公開取用
5.02 MBAdobe PDF
顯示文件簡單紀錄


系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved