首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Development of a highly efficient 2-D system with a serially coupled long column and its application in identification of rat brain integral membrane proteins with ionic liquids-assisted solubilization and digestion
Authors:Tao Dingyin  Qiao Xiaoqiang  Sun Liangliang  Hou Chunyan  Gao Liang  Zhang Lihua  Shan Yichu  Liang Zhen  Zhang Yukui
Institution:Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, People's Republic of China.
Abstract:Two dimensional high performance liquid chromatography-electrospray ionization-tandem mass spectrometry (2D-HPLC-ESI-MS/MS) is one of the most powerful techniques for high resolution, efficiency, and throughput separation and identification of proteomes. For a bottom-up strategy-based proteome analysis, usually multistep salt elution was needed in the first dimension separation by SCX, to simplify the peptides for the further second dimensional separation by RPLC. Here, by using a 30 cm-long serially coupled long column (SCLC) in the second dimension, we reduced the salt steps of SCX from 13 to 5 to shorten the total analysis time. Compared to the commonly applied 2D-HPLC with over 10-step salt elution in SCX and microRPLC with a short column (SC), named as SC-2D, the peak capacity of 2D-HPLC with a SCLC column, named as SCLC-2D, was increased 3.3-folds while the analysis time was increased by only 1.17-folds. Therefore, the time-based protein identification efficiency was ~55 protein groups/h, nearly 2-fold of that for SC-2D (~28 protein groups/h). With the further combination of assisted solubilization by ionic liquids and SCLC-2D, 608 integral membrane proteins (IMPs) (27.66% of the total 2198 proteins, FDR < 1%) were identified from rat brain, more than those obtained by the traditional urea method (252 unique IMPs, occupying 17.03% of total 1480 proteins). All of these results demonstrate the promise of the developed technique for large-scale proteome analysis.
Keywords:
本文献已被 PubMed 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号