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

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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 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.

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Authors and Affiliations

  1. Department of Microbial Engineering, College of Engineering, Konkuk University, 1, Hwayang-dong, Gwangjin-gu, Seoul, 143-701, Korea

    Thangamani Rajesh, Jong-Min Jeon & Yung-Hun Yang

  2. Bio-MAX Institute, Seoul National University, Gwanak-gu, Seoul, 151-742, Korea

    Hyung-Yeon Park

  3. School of Chemical and Biological Engineering, Institute of Molecular Biology and Genetics, Seoul National University, Gwanak-gu, Seoul, 151-742, Korea

    Eunjung Song, Changmin Sung, Sung-Hee Park, Jae-Hun Lee, Dongwon Yoo & Byung-Gee Kim

  4. Interdisciplinary Program for Bioengineering, Seoul National University, Seoul, 151-744, Korea

    Changmin Sung, Sung-Hee Park, Jae-Hun Lee & Byung-Gee Kim

  5. Chemical Engineering, Soongsil University, 511, Sangdo-dong, Seoul, 156-743, Korea

    Yun-Gon Kim

Authors
  1. Thangamani Rajesh
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  2. Hyung-Yeon Park
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  3. Eunjung Song
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  4. Changmin Sung
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  5. Sung-Hee Park
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  6. Jae-Hun Lee
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  7. Dongwon Yoo
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  8. Yun-Gon Kim
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  9. Jong-Min Jeon
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  10. Byung-Gee Kim
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  11. Yung-Hun Yang
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Correspondence to Yung-Hun Yang.

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Equal contribution by two authors.

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Rajesh, T., Park, HY., Song, E. et al. A new flow path design for multidimensional protein identification technology using nano-liquid chromatography electrospray ionization mass spectrometry. Korean J. Chem. Eng. 30, 417–421 (2013). https://doi.org/10.1007/s11814-012-0134-9

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  • DOI: https://doi.org/10.1007/s11814-012-0134-9

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