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Conflict of Interest: In relation to this article, we declare that there is no conflict of interest.

Publication history: Received April 18, 2012
Accepted August 14, 2012

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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A new flow path design for multidimensional protein identification technology using nano-liquid chromatography electrospray ionization mass spectrometry

Thangamani Rajesh¹ Hyung-Yeon Park² Eunjung Song³ Changmin Sung^{3 4} Sung-Hee Park^{3 4} Jae-Hun Lee^{3 4} Dongwon Yoo^{3 5} Yun-Gon Kim⁶ Jong-Min Jeon¹ Byung-Gee Kim^{3 4} Yung-Hun Yang^1†

¹Department of Microbial Engineering, College of Engineering, Konkuk University, 1, Hwayang-dong, Gwangjin-gu, Seoul 143-701, Korea ²Bio-MAX Institute, Seoul National University, Gwanak-gu, Seoul 151-742, Korea ³School of Chemical and Biological Engineering, Institute of Molecular Biology and Genetics, Seoul National University, Gwanak-gu, Seoul 151-742, Korea ⁴Interdisciplinary Program for Bioengineering, Seoul National University, Seoul 151-744, Korea ⁵, Korea ⁶Chemical Engineering, Soongsil University, 511, Sangdo-dong, Seoul 156-743, Korea

seokor@konkuk.ac.kr

Korean Journal of Chemical Engineering, February 2013, 30(2), 417-421(5), 10.1007/s11814-012-0134-9

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Abstract

Multidimensional protein identification technology (MudPIT) is one of the most versatile methods for separating and identifying highly complex peptides or proteins. However, there are still inherent problems resulting from salt in eluent systems and instrumentation with MudPIT. We designed a novel and simple flow path using twovalve system and successfully performed a fully automated peptide analysis using MudPIT coupled with nano-liquid chromatography electrospray ionization mass spectrometry (nLC-ESI-MS). It enables to generate a remarkably stable nanospray during the MudPIT analysis and realize the fully automated MudPIT system. This column arrangement could be easily installed to avoid laborious loading steps and unstable ionization from discontinuous flow. Consequently, the new flow path design for MudPIT system guarantees the detection of more peptides and higher protein coverage in proteome analysis.

Keywords

MudPIT Nano LC-ESI-MS SCX C18 Peptide Identification

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