| 研究生: |
莊瀅芯 Chuang, Ying-Hsin |
|---|---|
| 論文名稱: |
整合型微流體平台應用於快速癌細胞分離/計數和檢測 An Integrated Microfluidic Platform for Rapid Tumor Cell Isolation, Counting and Molecular Diagnosis |
| 指導教授: |
李國賓
Lee, Gwo-Bin |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 工程科學系 Department of Engineering Science |
| 論文出版年: | 2012 |
| 畢業學年度: | 100 |
| 語文別: | 英文 |
| 論文頁數: | 56 |
| 中文關鍵詞: | 卵巢癌 、微流體 、癌細胞 、細胞計數 、微型聚合酶連鎖反應 |
| 外文關鍵詞: | ovarian cancer, microfluidics, cancer cell, cell counting, micro PCR |
| 相關次數: | 點閱:54 下載:2 |
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癌症在台灣已經變成最主要的死亡原因之一,而卵巢癌是婦科癌症中的而常見的疾病。這種疾病難以治療的癥結在於初期並不容易被發現。為了能及早採用合適的治療方法,利用靈敏性很高的檢測技術一直是我們所關心並且追求的課題。癌細胞的數量變化對於判斷癌症的患病程度非常重要,並且能當成為癌症治療預後的重要資訊。
到目前為止,已經有很多的生物技術以及微小化的生物晶片被用於偵測腫瘤細胞,例如:利用細胞大小分離癌細胞和使用流式細胞儀標定並計算癌細胞的數目等。然而在大量的生物樣本中分離腫瘤細胞依舊是個大難題。為了解決這個問題,在本研究中提出一個有微量細胞混和器、微量流式細胞儀和分子診斷模組的整合性新平台。藉由有效率的混合生物樣本與表面處理帶有特殊抗體的免疫磁珠,在大體積的生物樣本中的腫瘤細胞能被成功的分離出來;然後利用微量細胞儀結合光學偵測模組達到細胞計數的目的,最後藉由分子診斷流程放大與癌症相關的基因進行診斷。此整合平台實現了Lab on a Chip的概念,並且比傳統方法更可自動化、可拋棄避免交叉感染、低成本和省時的優點。
Ovarian cancer is ranked as the second most common of the gynecological cancers in Taiwan. It is challenging to diagnose in the early stages so that proper treatment can be adopted. It is well recognized that the detection of cancer cells is critical for determining cancer growth stages and may provide important information for an accurate prognosis. Many approaches have been employed to detect tumor cells. For example, cell-size-based separation, flow cytometry, and commercially available technology based on the use of immunologics have been commonly used. However, isolation of tumor cells (TCs) from a large amount of biological samples still remains a challenging process but is necessary for accurate diagnosis. In order to solve this problem, a new microfluidic platform equipped with a micro-incubator, micro flow cytometer and a molecular diagnosis module is presented in this work. With efficient mixing of the bio-samples and the use of immunomagnetic beads coated with specific antibodies, the target TCs can be successfully isolated from the clinical samples. Then counting of the target cells can be achieved by a combination of the micro flow cytometer and the optical detection module. Finally, the cancer-related genes will be amplified by a subsequent molecular diagnosis process. The integrated platform realizes the concept of a “Lab on a Chip” and has advantages which include automation, disposability, lower cost and rapid diagnosis and, therefore, may provide a promising approach for the fast and accurate detection of cancer cells
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