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

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• 作者：Thangamani Rajesh (1)
  Hyung-Yeon Park (2)
  Eunjung Song (3)
  Changmin Sung (3) (4)
  Sung-Hee Park (3) (4)
  Jae-Hun Lee (3) (4)
  Dongwon Yoo (3)
  Yun-Gon Kim (5)
  Jong-Min Jeon (1)
  Byung-Gee Kim (3) (4)
  Yung-Hun Yang (1)
  
• 关键词：MudPIT ; Nano LC ; ESI ; MS ; SCX ; C18 ; Peptide Identification
• 刊名：Korean Journal of Chemical Engineering
• 出版年：2013
• 出版时间：February 2013
• 年：2013
• 卷：30
• 期：2
• 页码：417-421
• 全文大小：248KB
• 参考文献：1. A. Gorg, W. Weiss and M. J. Dunn, / Proteomics, 4, 3665 (2004). CrossRef
  2. R. Aebersold and M. Mann, / Nature, 422, 198 (2003). CrossRef
  3. J.W. Hager, / Analytical and Bioanalytical Chemistry, 378, 845 (2004). CrossRef
  4. K. Tanaka, K. Waki, Y. Ido, S. Akita, Y. Yoshida and T. Yoshida, / Rapid Commun Mass Spectrom, 2, 151 (1988). CrossRef
  5. J.B. Fenn, M. Mann, C. K. Meng, S. F. Wong, C.M. Whitehouse, / Science, 246, 64 (1989). CrossRef
  6. A. Ducret, I. Van Oostveen, J. K. Eng, J. R. Yates, 3rd and R. Aebersold, / Protein Sci, 7, 706 (1998). CrossRef
  7. A. J. Link, J. Eng, D.M. Schieltz, E. Carmack, G. J. Mize, D.R. Morris, B. M. Garvik and J. R. Yates, 3rd, / Nat. Biotechnol., 17, 676 (1999). CrossRef
  8. D. A. Wolters, M. P. Washburn and J. R. Yates, 3rd, / Anal. Chem., 73, 5683 (2001). CrossRef
  9. M. P. Washburn, D. Wolters and J. R. Yates, 3rd, / Nat. Biotechnol., 19, 242 (2001). CrossRef
  10. A. Motoyama, J. D. Venable, C. I. Ruse and J.R. Yates, 3rd, / Anal. Chem., 78, 5109 (2006). CrossRef
  11. A.W. Guzzetta and A. S. Chien, / J. Proteome. Res., 4, 2412 (2005). CrossRef
  12. P. Taylor, P. A. Nielsen, M. B. Trelle, O.B. Horning, M.B. Andersen, O. Vorm, M. F. Moran and T. Kislinger, / J. Proteome. Res., 8, 1610 (2009). CrossRef
  13. Y. H. Yang, K. Lee, K. S. Jang, Y.G. Kim, S. H. Park, C. S. Lee and B. G. Kim, / Anal. Biochem., 387, 133 (2009). CrossRef
  14. Y.G. Kim, D. S. Shin, Y. H. Yang, G. C. Gil, C.G. Park, Y. Mimura, D. K. Cooper, P. M. Rudd, R. A. Dwek, Y. S. Lee and B.G. Kim, / Chem. Biol., 15, 215 (2008). CrossRef
  15. M. J. Babcock, M. J. Buttner, C.H. Keler, B. R. Clarke, R. A. Morris, C. G. Lewis and M. E. Brawner, / Gene, 196, 31 (1997). CrossRef
  16. K. Severinov, R. Mooney, S.A. Darst and R. Landick, / J. Biol. Chem., 272, 24137 (1997). CrossRef
  
• 作者单位：Thangamani Rajesh (1)
  Hyung-Yeon Park (2)
  Eunjung Song (3)
  Changmin Sung (3) (4)
  Sung-Hee Park (3) (4)
  Jae-Hun Lee (3) (4)
  Dongwon Yoo (3)
  Yun-Gon Kim (5)
  Jong-Min Jeon (1)
  Byung-Gee Kim (3) (4)
  Yung-Hun Yang (1)
  
  1. Department of Microbial Engineering, College of Engineering, Konkuk University, 1, Hwayang-dong, Gwangjin-gu, Seoul, 143-701, Korea
  2. Bio-MAX Institute, Seoul National University, Gwanak-gu, Seoul, 151-742, Korea
  3. School of Chemical and Biological Engineering, Institute of Molecular Biology and Genetics, Seoul National University, Gwanak-gu, Seoul, 151-742, Korea
  4. Interdisciplinary Program for Bioengineering, Seoul National University, Seoul, 151-744, Korea
  5. Chemical Engineering, Soongsil University, 511, Sangdo-dong, Seoul, 156-743, Korea
  
• ISSN：1975-7220

文摘

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 two-valve 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.