DocumentCode :
2041366
Title :
Nano-flow multidimensional liquid platform using strong ion-exchange and reversed-phase chromatography for improved proteomic analyses
Author :
Yun Wang ; Yahui Liu ; Song Lu ; Yujuan Li ; Yongqian Zhang ; Hong Qing ; Yulin Deng
Author_Institution :
Sch. of Life Sci., Beijing Inst. of Technol., Beijing, China
fYear :
2015
fDate :
2-5 Aug. 2015
Firstpage :
767
Lastpage :
771
Abstract :
In this study, an integrated multidimensional nano-flow liquid chromatography platform was established with the combination of peptide separation via online SCX, and successfully applied for proteome analysis. By this platform, peptides were first separated by a SCX microcolumn under a series of salt steps, separated by nano-reversed phase liquid chromatography, and finally identified by ESI-MS/MS. To evaluate the performance, the rat hippocampal cytosol proteins were analyzed. Ten fractions were loaded onto a SCX column via autosampler and analyzed by LC-MS/MS. More than 3323 spectra matched to peptides, and 3141 unique peptide were searched. A total of 600 proteins were identified in this single analysis. Compared with the results obtained by offline 2D-Nano-RPLC-MS/MS approach, the identified protein number was increased upto 13%, with decreased consumed time from 96 to 18 h. These results shows that such an integrated approach would gain attention for better proteome results.
Keywords :
chromatography; ion exchange; mass spectra; molecular biophysics; nanofluidics; proteins; proteomics; ESI-MS-MS; SCX microcolumn; integrated multidimensional nanoflow liquid chromatography; ion exchange; nanoreversed phase liquid chromatography; offline 2D-NanoRPLC-MS-MS approach; online SCX; peptide separation; protein number; proteomic analysis; rat hippocampal cytosol proteins; reversed-phase chromatography; salt steps; Hippocampus; Liquids; Mass spectroscopy; Peptides; Proteins; Proteomics; Sensitivity; Nano-flow LC; Proteome; hippocampus cytosol; integrated platform; offline 2D chromatography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7097-1
Type :
conf
DOI :
10.1109/ICMA.2015.7237582
Filename :
7237582
Link To Document :
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