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| 微柱高效液相色谱-质谱/质谱快速鉴定混合蛋白质新方法 | |
| 引用本文： | 张素艳,王静,卞利萍,许云敏,王洪海,杨芃原.微柱高效液相色谱-质谱/质谱快速鉴定混合蛋白质新方法[J].高等学校化学学报,2002,23(7):1246-1250. |
| 作者姓名： | 张素艳 王静 卞利萍 许云敏 王洪海 杨芃原 |
| 作者单位： | 1. 复旦大学化学系,上海,200433 2. 复旦大学遗传研究所,上海,2004333 3. 复旦大学遗传研究所,上海,2004333,复旦大学蛋白质组学研究中心,上海,200433 4. 复旦大学化学系,上海,200433；复旦大学蛋白质组学研究中心,上海,200433 |
| 基金项目： | 国家重点基础研究专项经费 (批准号 :2 0 0 1CB5 10 2 )，上海市科学技术委员会重点项目资助 |
| 摘 要： | 发展了一种混合蛋白质快速鉴定的新方法，将几种蛋白质的混合物于热变性后直接在溶液中酶解，利用微柱高效液相色谱－离子阱串级质谱进行肽谱／氨基酸序列分析，并结合Mascot数据库搜索处理功能，实现了混合蛋白质快速准确的鉴定。 |
| 关 键 词： | 混合蛋白质 鉴定 蛋白质组学 微柱高效液相色谱 离子阱质谱／质谱 序列分析 |
| 文章编号： | 0251-0790(2002)07-1246-05 |
A New Technique to Identify Individual Protein in Complex by Microcolumn-HPLC-ESIMS/MS |
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| ZHANG Su Yan ,WANG Jing ,BIAN Li Ping ,XU Yun Min ,WANG Hong Hai ,YANG Peng Yuan.A New Technique to Identify Individual Protein in Complex by Microcolumn-HPLC-ESIMS/MS[J].Chemical Research In Chinese Universities,2002,23(7):1246-1250. | |
| Authors: | ZHANG Su Yan WANG Jing BIAN Li Ping XU Yun Min WANG Hong Hai YANG Peng Yuan |
| Institution: | ZHANG Su Yan 1,WANG Jing 1,BIAN Li Ping 1,XU Yun Min 2,WANG Hong Hai 2,3,YANG Peng Yuan 1,3 * |
| Abstract: | In this work the identification method for protein mixture is reported, in which several proteins were varified by HPLC ESIMS/MS after the whole complex proteins were directly digested in solution, instead of the routine 2 dimensional gel electrophoresis. The obtained data was then searched against NCBInr database by using MS/MS Ions Search(http://www.matrixscience.com), and a positive result was therefore obtained. With the simulated sequence spectra in database searching, a re identification method was developed for low score matched protein by sequence tag technique. As a typical example, Concanavalin A, a less soluble protein with a low matching score, was also successfully identified, which indicated the great potential of complex digestion in proteomic study. |
| Keywords: | Identification of complex protein Proteomics Micro HPLC Ion Trap tandem mass spectrometry Sequence analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |