Repository logo
  • English
  • 中文
  • Log In
    New user? Click here to register.Have you forgotten your password?
Repository logo
    Communities & Collections
    Research Outputs
    Fundings & Projects
    People
    Organizations
    Statistics
  • English
  • 中文
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. .TMU Publications / 北醫出版品(教師升等著作 / 教學實踐 / 學位論文)
  3. .博碩士學位論文
  4. .98學年度
  5. 製備及分析可辨認卵巢癌相關抗原的單鏈變異片段抗體
 
  • Details
Options

製備及分析可辨認卵巢癌相關抗原的單鏈變異片段抗體

Other Title
Preparation and analysis of the single
chain variable fragment antibodies recognizing the ovarian tumor associated antigen
Type
thesis
Date Issued
2010-06-28
Author(s)
林佩璇
Advisor
楊沂淵
Subjects
系所名稱:醫學科學研究所
Description
學位別:碩士
語文別:中文
指導教授:楊沂淵
共同指導教授:呂思潔
口試委員:劉柯俊;施能耀
中文關鍵字:卵巢癌
Abstract
 卵巢癌是女性十大癌症之ㄧ,目前臨床大都以「CA-125」作為卵巢癌表現的腫瘤標記,但是靈敏度並不令人滿意。根據先前的研究利用卵巢癌病人血清中的抗體從peptide library進行篩選顯示OVTA-1可能是卵巢癌的腫瘤相關蛋白基因。本篇研究目的希望藉由噬菌體展現技術(phage display technique)製作並篩選出具有OVTA-1特異性結合反應的多株抗體與單株抗體。根據Gene Bank所公布OVTA-1的基因序列全長為3792 base pairs (bps),可轉譯出1264個胺基酸。本實驗重組其中長度為1002bp片段DNA,選殖入pET-21a質體,再利用大腸桿菌表現出與His融合的OVTA-1蛋白。西方墨點法實驗結果顯示抗His的抗體可辨識到His-OVTA-1融合蛋白。純化後的His-OVTA-1融合蛋白,以皮下注射方式注射來亨雞大腿部位,由雞蛋中純化出免疫球蛋白(IgY),再利用酵素連結免疫吸附分析法(Enzyme-Linked Immunosorbent Assay, ELISA)以及西方墨點法證實免疫過後雞隻所誘發出來的抗體可辨認His-OVTA-1片段蛋白。為了建構出可與His-OVTA-1蛋白結合的scFv噬菌體基因庫,首先自雞脾臟中萃取出total RNA反轉錄成cDNA後利用聚合酶鏈鎖反應(PCR),做出雞隻抗體的重鏈和輕鏈變異區基因片段,最後將這些基因片段連結後接入pComb3x載體中。未來希望能利用此基因庫作為OVTA-1研究和檢驗治療用之抗體來源,並探討其應用於預防及治療之潛力。
URI
https://203.71.86.71/handle/123456789/13237

Copyright Notice

● The digital content on this platform is part of the Taipei Medical University Institutional Repository, featuring various academic works and outputs from the institution. It offers free access to academic research and public education for non-commercial use.

● Please use the content appropriately and within legal boundaries to respect copyright owners' rights. For commercial use, please obtain prior authorization from the copyright owner. Users must not use TMUIR for any illegal purposes.

● By utilising the platform, users are deemed to have fully accepted and understood all the regulations set out in this statement, relevant laws of the Republic of China, all international internet regulations, and usage conventions.

● TMUIR is committed to protecting the interests of copyright owners. If you believe that any material on this website infringes copyright, please contact our staff at libirtmu@gmail.com, and we will remove the work from the repository.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback