| 研究生: |
吳欣怡 Wu, Hsin-Yi |
|---|---|
| 論文名稱: |
結合質譜分析技術與計算方法來發展鑑定蛋白質磷酸化及乙醯化的分析策略 Combining Mass Spectrometry Analysis and Computational Methods for the Identification of Protein Phosphorylation and Acetylation |
| 指導教授: |
廖寶琦
Liao, Pao-Chi |
| 學位類別: |
博士 Doctor |
| 系所名稱: |
醫學院 - 環境醫學研究所 Department of Environmental and Occupational Health |
| 論文出版年: | 2009 |
| 畢業學年度: | 97 |
| 語文別: | 英文 |
| 論文頁數: | 175 |
| 中文關鍵詞: | 酪胺酸磷酸化蛋白質體 、同位素標定 、質量偏移 、計算方法 、蛋白質磷酸化 、乙醯化 、質譜儀 |
| 外文關鍵詞: | isotope labeling, tyrosine phosphoproteome, mass shift, computing algorithm, mass spectrometry, acetylation, protein phosphorylation |
| 相關次數: | 點閱:92 下載:9 |
| 分享至: |
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蛋白質磷酸化(phosphorylation)與乙醯化(acetylation)都是重要的轉譯後修飾(post-translational modification),在生物體內參與調控著許多功能。雖然目前有許多分析方法被提出,但分析蛋白質磷酸化仍然具有挑戰性。在本篇論文中,我們提出一種分析策略從複雜的數據中篩選出磷酸化胜肽(phosphopeptide)的訊號。此分析方法結合去磷酸化反應(dephosphorylation)、準確的質量量測、及電腦計算方法來找出具有因為磷酸根被移除而產生“質量偏移(mass shift)”的訊號。這些會因為加入去磷酸酶(phosphatase)而偏移的訊號會被認為是可能的磷酸化胜肽訊號,在接下來的液相層析串連式質譜儀(LC-MS/MS)會針對其滯留時間(retention time)、質荷比(m/z)來做分析,有利於得到有效的磷酸化胜肽鑑定。我們驗證了此方法可以比過去傳統的液相層析串連式質譜技術得到更多的酪蛋白(casein)磷酸化胜肽訊號。另外也在鼻咽癌細胞(NPC cell)中鑑定到221個磷酸化位置。此分析技術說明了結合計算方法可以有效的從複雜的資料數據中選出磷酸化胜肽訊號。接著我們發展將高解析度質譜數據引進到我們的分析策略中的流程,比起過去用飛行時間質譜儀(Q-TOF),此高解析度質譜數據又得到更多酪蛋白磷酸化胜肽訊號。並且藉由結合去磷酸化反應及計算方法,我們得到具有高重複性與高信心度鑑定結果的肺癌細胞的酪胺酸磷酸化蛋白質體(tyrosine phosphoproteome)。此外,產生質量偏移與計算方法的概念也用在分析蛋白質乙醯化的分析上。我們將有同位素標定與未標定的乙醯基等量的轉移到受質蛋白質上,再接著利用電噴灑質譜分析(ESI-MS),經由電腦計算方法,可以選出具有特定質量差異與強度相當的訊號,針對這些訊號做串連式質譜分析,可以得到乙醯化胜肽的鑑定。我們成功的使用了組蛋白(histone)的兩段胜肽(H3, aa 1-20與H2B, aa 1-21)及組蛋白混合液(H2A與H2B)驗證了此方法可以找到體外的乙醯化位置,在未來也許可以用來大量的選擇會被乙醯化的受質蛋白。本篇論文提出的分析方法,結合質譜儀量測質量偏移與電腦計算方法,針對被修飾的訊號做分析,幫助得到有效的身份鑑定。
Protein phosphorylation and acetylation are key post-translational modifications that govern biological processes. Despite a number of analytical strategies have been exploited for the characterization of protein phosphorylation, the identification of protein phosphorylation sites is still challenging. We proposed here an alternative approach to mine phosphopeptide signals in a mixture of proteins. The approach combined dephosphorylation reaction, accurate mass measurements, and a computing algorithm to differentiate possible phosphopeptide signals in the LC-MS analyses by taking advantage of the mass shift generated by alkaline phosphatase treatment. The retention times and m/z values of these selected signals were used to facilitate subsequent LC-MS/MS experiments for phosphorylation site determination. Unlike commonly used neutral loss scan experiments for phosphopeptide detection, this strategy may not bias against tyrosine-phosphorylated peptides. We have demonstrated the applicability of this strategy to sequence more, in comparison with conventional data-dependent LC-MS/MS experiments, number of phosphopeptides in a mixture of α- and β-caseins. The analytical scheme was applied to characterize the nasopharyngeal carcinoma (NPC) cellular phosphoproteome and yielded 221 distinct phosphorylation sites. Our data demonstrated the merits of computation in mining phosphopeptide signals from a complex mass spectrometric dataset. According to the above result, mass accuracy seems to play an important role in efficiently selecting out phosphopeptide signals. In recent years, hybrid linear ion trap (LTQ)/Orbitrap mass spectrometer, with high mass accuracy, has emerged as a powerful instrument in proteomic analysis. We developed a process to incorporate LTQ/Orbitrap LC-MS data into our strategy for taking advantage of the accurate mass measurement. More phosphopeptides in casein mixture, compared to the work finished by using a quadrupole/time-of-flight mass spectrometer, were identified by using LTQ/Orbitrap data. The characterization of the lung cancer cell tyrosine phosphoproteome revealed that the use of alkaline phosphatase treatment combined with accurate mass measurement in this strategy increased data repeatability and confidence.
The concept of “signal mining” was applied to develop an analytical strategy to determine the in vitro acetylation sites of proteins by tracing isotope labeling on acetyl groups using mass spectrometry. Isotope-labeled and unlabeled acetyl groups transferred onto the substrates in vitro resulted in specific “mass difference”. The identification of acetylation site is facilitated by conducting MS/MS experiments on those signals. Acetylation reactions of substrates were performed in the presence of acetyltransferase and equal molar amounts of isotope-labeled acetyl coenzyme A ([13C2-2-D3] acetyl-CoA) and unlabeled acetyl-CoA. Signals with 5-Da (or their multiples) mass differences and equal responses were selected out by program computation. Those potential acetylated peptide signals were subjected to MS/MS analyses for determination of acetylation sites. We have used histone H3 peptide (aa 1-20), histone H2B peptide (aa 1-21), histone H2A and histone H2B proteins as the model compounds to demonstrate the applicability of this analytical scheme for the characterization of in vitro acetylation sites.
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